Category Management Quotes

an epiphany: every lesson I learned fell into better management of one of three categories: my time, my attention, and my energy.

Praise by name, criticize by category

Between 1990 and 2005, a new prison opened in the United States every ten days. Prison growth and the resulting “prison-industrial complex”—the business interests that capitalize on prison construction—made imprisonment so profitable that millions of dollars were spent lobbying state legislators to keep expanding the use of incarceration to respond to just about any problem. Incarceration became the answer to everything—health care problems like drug addiction, poverty that had led someone to write a bad check, child behavioral disorders, managing the mentally disabled poor, even immigration issues generated responses from legislators that involved sending people to prison. Never before had so much lobbying money been spent to expand America’s prison population, block sentencing reforms, create new crime categories, and sustain the fear and anger that fuel mass incarceration than during the last twenty-five years in the United States.

The only real Jesus is one who is larger tahn life, who escapes our categories, who eludes our attempts to reduce Him to manageable proportions so that we can claim him for our cause.

There seems to be a vicious cycle at work here, making ours not just an economy but a culture of extreme inequality. Corporate decision makers, and even some two-bit entrepreneurs like my boss at The Maids, occupy an economic position miles above that of the underpaid people whose labor they depend on. For reasons that have more to do with class — and often racial — prejudice than with actual experience, they tend to fear and distrust the category of people from which they recruit their workers. Hence the perceived need for repressive management and intrusive measures like drug and personality testing. But these things cost money — $20,000 or more a year for a manager, $100 a pop for a drug test, and so on — and the high cost of repression results in ever more pressure to hold wages down. The larger society seems to be caught up in a similar cycle: cutting public services for the poor, which are sometimes referred to collectively as the 'social wage,' while investing ever more heavily in prisons and cops. And in the larger society, too, the cost of repression becomes another factor weighing against the expansion or restoration of needed services. It is a tragic cycle, condemning us to ever deeper inequality, and in the long run, almost no one benefits but the agents of repression themselves.

Six Strategy Traps 1) The do-it-all strategy: failing to make choices, and making everything a priority. Remember, strategy is choice. 2) The Don Quixote strategy: attacking competitive "walled cities" or taking on the strongest competitor first, head-to-head. Remember, where to play is your choice. Pick somewhere you can have a choice to win. 3) The Waterloo Strategy: starting wars on multiple fronts with multiple competitors at the same time. No company can do everything well. If you try to do so, you will do everything weakly. 4) The something-for-everyone strategy: attempting to capture all consumer or channel or geographic or category segments at once. Remember, to create value, you have to choose to serve some constituents really well and not worry about the others. 5) The dreams-that-never-come-true strategy: developing high-level aspirations and mission statements that never get translated into concrete where-to-play and how-to-win choices, core capabilities, and management systems. Remember that aspirations are not strategy. Strategy is the answer to all five questions in the choice cascade. 6) The program-of-the-month strategy: settling for generic industry strategies, in which all competitors are chasing the same customers, geographies, and segments in the same way. The choice cascade and activity system that supports these choices should be distinctive. The more your choices look like those of your competitors, the less likely you will ever win.

It is far better to have 10,000 Facebook friends who are in the same category or aligned with your values or a common inter- est than 100,000 random robot followers from around the world.

Throughout history, he adds, the dominant castes that were ‘most successful in their attempt at conquering power managed to be recognized as Kshatriyas by Brahmins who invented genealogies for them.’ For recent examples, he points to Marathas (Maharashtra), Lingayats and Vokkaligas (Karnataka), and Kammas and Reddys (Andhra Pradesh). Citing Srinivas, he writes that ‘the Kshatriya category was the most open of the caste system.’ To

Very few who manage a big league club are successful, fewer still are the ones who experience success over an extended period of time, but to achieve a level of success so extraordinary that it is given a category all it’s own—“The Big Red Machine”—places Sparky [Anderson] in one of the most exclusive and elite clubs in baseball history.

Therapy labels as sickness what might otherwise be judged as weak or willful actions; it thus equips the patient to fight (or resign himself to) the disease, instead of irrationally finding fault with himself. Inappropriately extended beyond the consulting room, however, therapeutic morality encourages a permanent suspension of the moral sense. There is a close connection, in turn, between the erosion of moral responsibility and the waning of the capacity for self-help—in the categories used by John R. Seeley, between the elimination of culpability and the elimination of competence. "What says 'you are not guilty' says also 'you cannot help yourself.' " Therapy legitimates deviance as sickness, but it simultaneously pronounces the patient unfit to manage his own life and delivers him into the hands of a specialist.

first, he called idiot savant. The type of person who is so smart in his or her field of expertise that their mind is literally elsewhere. In layman’s terms he explained that these people were smart in school and dumb on the bus. The second category was made up of perfectionists, people who were incapable of letting go of one task and moving on to another. These people were always playing catch-up, rarely rose to any real position of power, and needed to be managed properly. The third category, and the one to be most wary of, were the egomaniacs. These were the people who not only felt that their time was more important than anyone else’s, but who needed to prove it by constantly making others wait

The American passion for categorizing has now managed to create two non-existent categories—gay and straight.

From the perspective of society as a whole, there is no fixed or objective need aside from those broad categories required for survival. Rarely, if ever, is there a fixed quantity or definite quality demanded. This is why the needs of individuals are best met by other individuals according to supply, demand, and the price mechanism. And this is why most of the needs of individuals cannot be met only by central government.

In investigating the lumpings that have shaped societies past and present, we should, I believe, be charitable toward those who merely inherited the classifications that were dominant in their own times. But we should be less patient with those, like Calhoun and Sanger, who pressed to enforce their preferred categories, to encode them in law and make them permanent. Such people are immensely dangerous, and for the health of our public world we need to become alert to the compelling power of lumping: having seen the ways lumping helps us manage information overload and create group solidarity, we should become aware of the temptations it poses to us—to all of us.

The processes through which past societies have undermined themselves by damaging their environments fall into eight categories, whose relative importance differs from case to case: deforestation and habitat destruction, soil problems (erosion, salinization, and soil fertility losses), water management problems, overhunting, overfishing, effects of introduced species on native species, human population growth, and increased per-capita impact of people.

As they say in the Sikh religion—Once you realize God knows everything, you're free. I had been through many years of psychoanalysis and still I had managed to keep private places in my head—I wouldn't say they were big, labeled categories, but they were certain attitudes or feelings that were still very private. And suddenly I realized that he knew everything that was going on in my head, all the time, and that he still loved me. Because who we are is behind all that.

Often when managers say, "Testing takes too long," what they should be saying is, "Fixing the bugs in the product takes too long"—a different cost category. Make sure you're accounting for effort and time under the correct cost category.

Frosh (2002) has suggested that therapeutic spaces provide children and adults with the rare opportunity to articulate experiences that are otherwise excluded from the dominant symbolic order. However, since the 1990s, post-modern and post-structural theory has often been deployed in ways that attempt to ‘manage’ from; afar the perturbing disclosures of abuse and trauma that arise in therapeutic spaces (Frosh 2002). Nowhere is this clearer than in relation to organised abuse, where the testimony of girls and women has been deconstructed as symptoms of cultural hysteria (Showalter 1997) and the colonisation of women’s minds by therapeutic discourse (Hacking 1995). However, behind words and discourse, ‘a real world and real lives do exist, howsoever we interpret, construct and recycle accounts of these by a variety of symbolic means’ (Stanley 1993: 214). Summit (1994: 5) once described organised abuse as a ‘subject of smoke and mirrors’, observing the ways in which it has persistently defied conceptualisation or explanation. Explanations for serious or sadistic child sex offending have typically rested on psychiatric concepts of ‘paedophilia’ or particular psychological categories that have limited utility for the study of the cultures of sexual abuse that emerge in the families or institutions in which organised abuse takes pace. For those clinicians and researchers who take organised abuse seriously, their reliance upon individualistic rather than sociological explanations for child sexual abuse has left them unable to explain the emergence of coordinated, and often sadistic, multi—perpetrator sexual abuse in a range of contexts around the world.

Mislove manages the neat trick of having two meanings that are almost opposite each other. While this is not an uncommon phenomenon (for example, left can refer to both having departed and remaining), words in this category are usually significantly more boring than mislove. Monodynamic

It is important to stress that, in America at least, no matter how small and how badly off a particular stigmatized category is, the viewpoint of its members is likely to be given public presentation of some kind. It can thus be said that Americans who are stigmatized tend to live in a literarily-defined world, however uncultured they might be. If they don’t read books on the situation of persons like themselves, they at least read magazines and see movies; and where they don’t do these, then they listen to local, vocal associates. An intellectually worked-up version of their point of view is thus available to most stigmatized persons. A comment is here required about those who come to serve as representatives of a stigmatized category. Starting out as someone who is a little more vocal, a little better known, or a little better connected than his fellow-sufferers, a stigmatized person may find that the “movement” has absorbed his whole day, and that he has become a professional.

I'm talking about how we - and I mean here the "we" of people who have experienced some kind of trauma, which I think is a very large category indeed - how we manage the serious burden that we carry, how we contain it, what spent fuel pool or dry cask storage we improvise for material that is even now still leaking its lethal isotopes.

To re-create the entrepreneurial atmosphere of the sort we’d had at Chouinard Equipment, we broke the line into eight categories and hired eight product czars to manage them. Each was responsible for his or her own product development, marketing, inventory, quality control, and coordination with the three sales channels—wholesale, mail order, and retail.

Testing gathers information about a product; it does not fix things it finds that are wrong. Testing does not improve a product; the improving is done by people fixing the bugs that testing has uncovered. Often when managers say, "Testing takes too long," what they should be saying is, "Fixing the bugs in the product takes too long"—a different cost category.

Zero-tolerance discipline policies, specifically the controversial category of willful defiance, have become a routine way by which to punish and marginalize Black girls in learning spaces when they directly confront adults or indirectly complicate the teacher’s ability to manage the classroom—not necessarily actions that pose a threat to the physical safety of anyone on campus.

Because by definition they lack any such sense of mutuality or wholeness, our specializations subsist on conflict with one another. The rule is never to cooperate, but rather to follow one's own interest as far as possible. Checks and balances are all applied externally, by opposition, never by self-restraint. Labor, management, the military, the government, etc., never forbear until their excesses arouse enough opposition to force them to do so. The good of the whole of Creation, the world and all its creatures together, is never a consideration because it is never thought of; our culture now simply lacks the means for thinking of it. It is for this reason that none of our basic problems is ever solved. Indeed, it is for this reason that our basic problems are getting worse. The specialists are profiting too well from the symptoms, evidently, to be concerned about cures -- just as the myth of imminent cure (by some 'breakthrough' of science or technology) is so lucrative and all-justifying as to foreclose any possibility of an interest in prevention. The problems thus become the stock in trade of specialists. The so-called professions survive by endlessly "processing" and talking about problems that they have neither the will nor the competence to solve. The doctor who is interested in disease but not in health is clearly in the same category with the conservationist who invests in the destruction of what he otherwise intends to preserve. The both have the comfort of 'job security,' but at the cost of ultimate futility. ... This has become, to some extent at least, an argument against institutional solutions. Such solutions necessarily fail to solve the problems to which they are addressed because, by definition, the cannot consider the real causes. The only real, practical, hope-giving way to remedy the fragmentation that is the disease of the modern spirit is a small and humble way -- a way that a government or agency or organization or institution will never think of, though a person may think of it: one must begin in one's own life the private solutions that can only in turn become public solutions.

which there was already installed a lady with a massive face, old and ugly, with a masculine expression, very much in her Sunday best, who was reading the Revue des Deux Mondes. Notwithstanding her commonness, she was eclectic in her tastes, and I found amusement in asking myself to what social category she could belong; I at once concluded that she must be the manager of some large brothel, a procuress on holiday. Her face, her manner, proclaimed the fact aloud.

Most decisions, and nearly all human interaction, can be incorporated into a contingencies model. For example, a President may start a war, a man may sell his business, or divorce his wife. Such an action will produce a reaction; the number of reactions is infinite but the number of probable reactions is manageably small. Before making a decision, an individual can predict various reactions, and he can assess his original, or primary-mode, decision more effectively. But there is also a category which cannot be analyzed by contingencies. This category involves events and situations which are absolutely unpredictable, not merely disasters of all sorts, but those also including rare moments of discovery and insight, such as those which produced the laser, or penicillin. Because these moments are unpredictable, they cannot be planned for in any logical manner. The mathematics are wholly unsatisfactory. We may only take comfort in the fact that such situations, for ill or for good, are exceedingly rare.

The last time I’d been unwell, suicidally depressed, whatever you want to call it, the reactions of my friends and family had fallen into several different camps: The Let’s Laugh It Off merchants: Claire was the leading light. They hoped that joking about my state of mind would reduce it to a manageable size. Most likely to say, ‘Feeling any mad urges to fling yourself into the sea?’ The Depression Deniers: they were the ones who took the position that since there was no such thing as depression, nothing could be wrong with me. Once upon a time I’d have belonged in that category myself. A subset of the Deniers was The Tough Love people. Most likely to say, ‘What have you got to be depressed about?’ The It’s All About Me bunch: they were the ones who wailed that I couldn’t kill myself because they’d miss me so much. More often than not, I’d end up comforting them. My sister Anna and her boyfriend, Angelo, flew three thousand miles from New York just so I could dry their tears. Most likely to say, ‘Have you any idea how many people love you?’ The Runaways: lots and lots of people just stopped ringing me. Most of them I didn’t care about, but one or two were important to me. Their absence was down to fear; they were terrified that whatever I had, it was catching. Most likely to say, ‘I feel so helpless … God, is that the time?’ Bronagh – though it hurt me too much at the time to really acknowledge it – was the number one offender. The Woo-Woo crew: i.e. those purveying alternative cures. And actually there were hundreds of them – urging me to do reiki, yoga, homeopathy, bible study, sufi dance, cold showers, meditation, EFT, hypnotherapy, hydrotherapy, silent retreats, sweat lodges, felting, fasting, angel channelling or eating only blue food. Everyone had a story about something that had cured their auntie/boss/boyfriend/next-door neighbour. But my sister Rachel was the worst – she had me plagued. Not a day passed that she didn’t send me a link to some swizzer. Followed by a phone call ten minutes later to make sure I’d made an appointment. (And I was so desperate that I even gave plenty of them a go.) Most likely to say, ‘This man’s a miracle worker.’ Followed by: ‘That’s why he’s so expensive. Miracles don’t come cheap.’ There was often cross-pollination between the different groupings. Sometimes the Let’s Laugh It Off merchants teamed up with the Tough Love people to tell me that recovering from depression is ‘simply mind over matter’. You just decide you’re better. (The way you would if you had emphysema.) Or an All About Me would ring a member of the Woo-Woo crew and sob and sob about how selfish I was being and the Woo-Woo crew person would agree because I had refused to cough up two grand for a sweat lodge in Wicklow. Or one of the Runaways would tiptoe back for a sneaky look at me, then commandeer a Denier into launching a two-pronged attack, telling me how well I seemed. And actually that was the worst thing anyone could have done to me, because you can only sound like a self-pitying malingerer if you protest, ‘But I don’t feel well. I feel wretched beyond description.’ Not one person who loved me understood how I’d felt. They hadn’t a clue and I didn’t blame them, because, until it had happened to me, I hadn’t a clue either.

Incarceration became the answer to everything—health care problems like drug addiction, poverty that had led someone to write a bad check, child behavioral disorders, managing the mentally disabled poor, even immigration issues generated responses from legislators that involved sending people to prison. Never before had so much lobbying money been spent to expand America’s prison population, block sentencing reforms, create new crime categories, and sustain the fear and anger that fuel mass incarceration than during the last twenty-five years in the United States. When

We decided to attend to our community instead of asking our community to attend the church.” His staff started showing up at local community events such as sports contests and town hall meetings. They entered a float in the local Christmas parade. They rented a football field and inaugurated a Free Movie Night on summer Fridays, complete with popcorn machines and a giant screen. They opened a burger joint, which soon became a hangout for local youth; it gives free meals to those who can’t afford to pay. When they found out how difficult it was for immigrants to get a driver’s license, they formed a drivers school and set their fees at half the going rate. My own church in Colorado started a ministry called Hands of the Carpenter, recruiting volunteers to do painting, carpentry, and house repairs for widows and single mothers. Soon they learned of another need and opened Hands Automotive to offer free oil changes, inspections, and car washes to the same constituency. They fund the work by charging normal rates to those who can afford it. I heard from a church in Minneapolis that monitors parking meters. Volunteers patrol the streets, add money to the meters with expired time, and put cards on the windshields that read, “Your meter looked hungry so we fed it. If we can help you in any other way, please give us a call.” In Cincinnati, college students sign up every Christmas to wrap presents at a local mall — ​no charge. “People just could not understand why I would want to wrap their presents,” one wrote me. “I tell them, ‘We just want to show God’s love in a practical way.’ ” In one of the boldest ventures in creative grace, a pastor started a community called Miracle Village in which half the residents are registered sex offenders. Florida’s state laws require sex offenders to live more than a thousand feet from a school, day care center, park, or playground, and some municipalities have lengthened the distance to half a mile and added swimming pools, bus stops, and libraries to the list. As a result, sex offenders, one of the most despised categories of criminals, are pushed out of cities and have few places to live. A pastor named Dick Witherow opened Miracle Village as part of his Matthew 25 Ministries. Staff members closely supervise the residents, many of them on parole, and conduct services in the church at the heart of Miracle Village. The ministry also provides anger-management and Bible study classes.

Names don't matter, many managers believe; it's the product that matters. With the right product at the right price, goes the thinking, we can win the battle of the marketplace. Names do matter. Depending on the category, the name alone can represent the primary reason for the brand's success. A company might spend hundreds of millions of dollars to develop a new product and then give that new product a brand name that almost guarantees failure. Innovation alone is never enough. Along with innovation, a company needs marketing to assure the brand's eventual success and survival. The heart of a good marketing program is a great name.

Yeah, in my opinion the heart of the problem is Marxism-Leninism itself―the very idea that a "vanguard party" can, or has any right to, or has any capacity to lead the stupid masses towards some future they're too dumb to understand for themselves. I think what it's going to lead them towards is "I rule you with a whip." Institutions of domination have a nice way of reproducing themselves―I think that's kind of like an obvious sociological truism. And actually, if you look back, that was in fact Bakunin's prediction half a century before―he said this was exactly what was going to happen. I mean, Bakunin was talking about the people around Marx, this was before Lenin was born, but his prediction was that the nature of the intelligentsia as a formation in modern industrial society is that they are going to try to become the social managers. Now, they're not going to become the social managers because they own capital, and they're not going to become the social managers because they've got a lot of guns. They are going to become the social managers because they can control, organize, and direct what's called "knowledge"―they have the skills to process information, and to mobilize support for decision-making, and so on and so forth. And Bakunin predicted that these people would fall into two categories. On the one hand, there would be the "left" intellectuals, who would try to rise to power on the backs of mass popular movements, and if they could gain power, they would then beat the people into submission and try to control them. On the other hand, if they found that they couldn't get power that way themselves, they would become the servants of what we would nowadays call "state-capitalism," though Bakunin didn't use the term. And either of these two categories of intellectuals, he said, would be "beating the people with the people's stick"―that is, they'd be presenting themselves as representatives of the people, so they'd be holding the people's stick, but they would be beating the people with it.

But as a Puerto Rican woman, she belonged to not one but two minority groups. New research suggests that her double minority status may have amplified the costs and the benefits of speaking up. Management researcher Ashleigh Rosette, who is African American, noticed that she was treated differently when she led assertively than were both white women and black men. Working with colleagues, she found that double minority group members faced double jeopardy. When black women failed, they were evaluated much more harshly than black men and white leaders of both sexes. They didn’t fit the stereotype of leaders as black or as female, and they shouldered an unfair share of the blame for mistakes. For double minorities, Rosette’s team pointed out, failure is not an option. Interestingly, though, Rosette and her colleagues found that when black women acted dominantly, they didn’t face the same penalties as white women and black men. As double minorities, black women defy categories. Because people don’t know which stereotypes to apply to them, they have greater flexibility to act “black” or “female” without violating stereotypes. But this only holds true when there’s clear evidence of their competence. For minority-group members, it’s particularly important to earn status before exercising power. By quietly advancing the agenda of putting intelligence online as part of her job, Carmen Medina was able to build up successes without attracting too much attention. “I was able to fly under the radar,” she says. “Nobody really noticed what I was doing, and I was making headway by iterating to make us more of a publish-when-ready organization. It was almost like a backyard experiment. I pretty much proceeded unfettered.” Once Medina had accumulated enough wins, she started speaking up again—and this time, people were ready to listen. Rosette has discovered that when women climb to the top and it’s clear that they’re in the driver’s seat, people recognize that since they’ve overcome prejudice and double standards, they must be unusually motivated and talented. But what happens when voice falls on deaf ears?

One can even imagine that inflation tends to improve the relative position of the wealthiest individuals compared to the least wealthy, in that it enhances the importance of financial managers and intermediaries. A person with 10 or 50 million euros cannot afford the money managers that Harvard has but can nevertheless pay financial advisors and stockbrokers to mitigate the effects of inflation. By contrast, a person with only 10 or 50 thousand euros to invest will not be offered the same choices by her broker (if she has one): contacts with financial advisors are briefer, and many people in this category keep most of their savings in checking accounts that pay little or nothing and/or savings accounts that pay little more than the rate of inflation.

Finally, I ask our managers to weigh one other critical factor as they handicap the prospect. Do they believe the candidate has the capacity to become one of the top three performers on our team in his or her job category? If people cannot ever develop into one of our top three cooks, servers, managers, or maître d’s, why would we hire them? How will they help us improve and become champions? It’s pretty easy to spot an overwhelmingly strong candidate or even an underwhelmingly weak candidate. It’s the “whelming” candidate you must avoid at all costs, because that’s the one who can and will do your organization the most long-lasting harm. Overwhelmers earn you raves. Underwhelmers either leave on their own or are terminated. Whelmers, sadly, are like a stubborn stain you can’t get out of the carpet. They infuse an organization and its staff with mediocrity; they’re comfortable, and so they never leave; and, frustratingly, they never do anything that rises to the level of getting them promoted or sinks to the level of getting them fired. And

One other thing. And this really matters for readers of this book. According to official Myers–Briggs documents, the test can ‘give you an insight into what kinds of work you might enjoy and be successful doing’. So if you are, like me, classified as ‘INTJ’ (your dominant traits are being introverted, intuitive and having a preference for thinking and judging), the best-fit occupations include management consultant, IT professional and engineer.30 Would a change to one of these careers make me more fulfilled? Unlikely, according to respected US psychologist David Pittenger, because there is ‘no evidence to show a positive relation between MBTI type and success within an occupation…nor is there any data to suggest that specific types are more satisfied within specific occupations than are other types’. Then why is the MBTI so popular? Its success, he argues, is primarily due to ‘the beguiling nature of the horoscope-like summaries of personality and steady marketing’.31 Personality tests have their uses, even if they do not reveal any scientific ‘truth’ about us. If we are in a state of confusion they can be a great emotional comfort, offering a clear diagnosis of why our current job may not be right, and suggesting others that might suit us better. They also raise interesting hypotheses that aid self-reflection: until I took the MBTI, I had certainly never considered that IT could offer me a bright future (by the way, I apparently have the wrong personality type to be a writer). Yet we should be wary about relying on them as a magic pill that enables us suddenly to hit upon a dream career. That is why wise career counsellors treat such tests with caution, using them as only one of many ways of exploring who you are. Human personality does not neatly reduce into sixteen or any other definitive number of categories: we are far more complex creatures than psychometric tests can ever reveal. And as we will shortly learn, there is compelling evidence that we are much more likely to find fulfilling work by conducting career experiments in the real world than by filling out any number of questionnaires.32

Nietzsche is the moral philosopher of the present age. For I have already argued that the present age is in its presentation of itself dominantly Weberian, and I have also noticed that Nietzsche’s central thesis was presupposed by Weber’s central categories of thought. Hence Nietzsche’s prophetic irrationalism – irrationalism because Nietzsche’s problems remain unresolved and his solutions defy reason – remains immanent in the Weberian managerial forms of our culture. Whenever those immersed in the bureaucratic culture of the age try to think their way through to the moral foundations of what they are and what they do, they will discover suppressed Nietzschean premises. And consequently it is possible to predict with confidence that in the apparently quite unlikely contexts of bureaucratically managed modern societies there will periodically emerge social movements informed by just that kind of prophetic irrationalism of which Nietzsche’s thought is the ancestor. Indeed just because and insofar contemporary Marxism is Weberian in substance we can expect prophetic irrationalisms of the left as well as of the Right. So it was was with much student radicalism of the sixties.

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Humans are complex and multilayered, and the last thing you want to do is put people into boxes. Instead of boxes, you can think of generational categories as unfixed containers that can bend and shift depending on the person.

The difference between Franklin’s unconventional work and Abagnale’s was that the former managed to create value for others while the latter cheated others. Franklin’s approach was a lateral solution to the unfairness of present convention. Abagnale’s, however entertaining, was a con, and he paid for it. And that’s the difference between rapid, but short-term gains, which I call shortcuts, and sustainable success achieved quickly through smart work, or smartcuts. Whereas by dictionary definition shortcuts can be amoral, you can think of smartcuts as shortcuts with integrity. Working smarter and achieving more—without creating negative externalities. Abagnale took shortcuts and regretted it. Franklin used smartcuts and got his face on a $ 100 bill. After being released from prison, Abagnale spent three decades repaying his debt to society, working for the FBI, without pay. Eventually, he started a security business, met his future wife while on undercover assignment, and had three kids. “True success is not defined by how much money do I make, how well do I speak, how well do I deal with the subjects I deal with,” he says. “But how great of a father I am.” As we explore the unconventional behavior of history’s overachievers in Smartcuts, I hope we’ll keep Abagnale’s lesson in mind. To some people, success means wealth. To others it means recognition, popularity, or promotions; it means free time, inventing products, growing businesses, making breakthroughs at work. Those can all be good things, and in this book, we’ll look at people and companies that achieved big things in the above categories. But I’m convinced that true success has more to do with our becoming better people and building a better world while we do these things than it does with the size of our bank accounts.

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Over the following years, the concept of “person” was changed by the courts in two ways. One way was to broaden it to include corporations, legal fictions established and sustained by the state. In fact, these “persons” later became the management of corporations, according to the court decisions. So the management of corporations became “persons.” It was also narrowed to exclude undocumented immigrants. They had to be excluded from the category of “persons.” And that’s happening right now. So the legislations that you’re talking about, they go two ways. They broaden the category of persons to include corporate entities, which now have rights way beyond human beings, given by the trade agreements and others, and they exclude the people who flee from Central America where the U.S. devastated their homelands, and flee from Mexico because they can’t compete with the highly-subsidized U.S. agribusiness.

Expand your egg business through latest technologies In India, poultry farming is still lagging behind in terms of infrastructure, skilled manpower and resources. Government has tried to overcome troubles but still egg farm owners in semi-urban or rural areas aren’t utilized technologies due to lack of knowledge and training. On the contrary, farmers in foreign countries develop smart egg processed plant to produce better quality eggs. Technologies are playing keen role to expand egg business sector. Indian farmers should be trained on modern-day technologies to increase productivity. Fast-growing population demanded delicious egg dishes, thus people who are interested to run a restaurant probably sell eggs. Here also you can use technology to develop effective management system, inventory solutions and check product quality as well. It goes without saying that egg industry encompasses varies business categories but you should involve technology to make most advantage and profits. There is trend among foreign countries to cut down cost on unnecessary labours thus they are concentrating on emerging technologies.

gaining shelfspace has become a more strategic challenge for manufacturers. Shelfspace has to be won by planning product offerings to satisfy not just consumers’ needs but also the retailers’ objectives. Because the retailer is overwhelmed with offerings that claim to have consumer appeal – that is now a given – it is in being seen to best meet the retailers’ needs that has become the battleground. Store management wants to increase category sales, improve average margins, provide a good range to shoppers and perhaps offer exclusive products, all the while looking to increase operational efficiency and reduce inventory costs by minimising the number of lines stocked and the workload involved in getting products on the shelf. Manufacturers now have to win shelfspace by working through these complex and sometimes conflicting needs.

Successful brand management depends on a continually updated understanding of consumers’ needs and wants in a product category. This

Category management is something of a misnomer; category understanding may be a better goal. Category understanding should be an effort to see the market from the retail point of view, and offer brands/SKUs that retailers want to stock. The idea is not to sell to retailers what you want to produce, but produce what they want to sell and their shoppers want to buy.

Swami Devi Dyal College Of Nursing Swami Devi Dyal College of Nursing was established in year 2006. The college is approved & recognized by Haryana Nursing Registration Council (HNRC), Indian Nursing Council (INC), New Delhi and is affiliated to Pt. B.D. Sharma University of Health Sciences, Rohtak. SWATCH BHARAT B.Sc Nursing Students of Swami Devi Dyal college of nursing organized awareness programme on SWATCH BHARAT along with Nursing Staff of General Hospital Sector -6 Panchkula Haryana. They delivered health education to patients and their relatives about the importance of cleanliness and proper disposal of refuse .Posters were displayed. Courses Offered Bachelor of Science Nursing (Co-education) Program Mode Regular Duration 4 Years No. of Seats 60 Eligibility 1) The applicant must have passed 10+2 exam of board of school education Haryana or any examination recognized as equivalent there to with Science (Physics, Chemistry, & Biology) and English (PCBE) with minimum 45% in aggregate marks (40% marks for the reserved category SC/ST). 2) Minimum Age limit: 17 years before 31st December of the admission session 2012. 3) Candidate must be medically fit and medical fitness certificate shall have to be produced at the time of admission. Fee Structure 60000/- Admission Procedure The admission to B. Sc Nursing Program will be made on the basis of the CET test conducted by Pt. B.D. Sharma University of Health Sciences, Rohtak. The management Quota seats (25% of the sanctioned intake including 15% seats for children/ward of NRI’s) for Nursing will be filled as per 1. CET-2012 merit ranking Conducted by Pt. B.D. Sharma University of Health Sciences, Rohtak. 2. Merit based on percentage of marks in 10+2 in Physics, Chemistry, Biology & English.

Collins’s understanding of the Fox-Hedgehog parable is questionable from the start. He suggests that people who have had the greatest impact on humanity—including Darwin, Marx, and Einstein—were Hedgehogs, consumed with a single and simple idea, then pursuing it with dogged focus. But Isaiah Berlin made no such claim, observing only that Foxes and Hedgehogs were two different ways of looking at human experience. There have been great people in both categories. According to Berlin, Plato was a Hedgehog but Aristotle a Fox; Dante a Hedgehog but Shakespeare a Fox; Dostoyevsky and Nietzsche were Hedgehogs while Goethe and Joyce were Foxes. Collins’s assertion about Darwin is also doubtful: After all, Charles Darwin was raised as a conventional Christian and arrived at his revolutionary ideas about natural selection after decades of careful observation and reflection—challenging conventional dogma is not the sort of thing a Hedgehog normally does. It’s not even clear that Marx was a Hedgehog, as his favorite epigram—De omnibus disputandum (Everything must be doubted)—has a distinctly Foxlike ring. Many so-called Marxists may be Hedgehogs, but of course that’s a different matter.

The Americans gave it a name, PTSD — Post Traumatic Stress Disorder. I had heard about it before: it was something that had to do with army men coming back from the frontline, veterans who had been under a lot of stress. Or survivors of terrorist attacks, bombings, massacres, or big accidents. What I didn’t know was that journalists were also considered a category ‘at risk,’ particularly the ones who had covered conflict or reported in war zones crisis zones. All those who had witnessed episodes of violence, killings, traumatic events, and who had learnt to work and live coping with the anxiety from nearby fighting and constant danger. I saw many of my colleagues devastated — broken — by what they had seen, which often I had seen too. Some never managed to really go back to their normal lives and once, after a crisis that had hit them harder than the many others, decided they had had enough. Among many terrible news came those of the suicide of Stephanie Vaessen’s husband and cameraman — him and Stephanie were two of the people I had shared the tragic days in East Timor with. No worries though. I was doing just fine, as I’d tell myself. At the end of the day, I genuinely believed it: I never really took as many risks as many of the colleagues I had met or shared the most traumatic experiences in the field with, hence I had probably been exposed to a lot less stress. (...)

If you want a reality check, take a look at the study that’s regularly put out by S&P Dow Jones Indices, part of McGraw Hill Financial. The study is known as the SPIVA Scorecard, short for Standard & Poor’s Indices Versus Active. It compares actively managed funds to appropriate benchmark indexes. Over a 10-year period, typically 20 percent or less of actively managed funds outperform their category’s benchmark index.

GE’s system of differentiation, which separates employees into three performance categories and manages them up or out accordingly.

I also like to call this category "hypersuck," because women tend to get "sucked" into believing that our bodies are wild, scary, shameful places that need to be managed by an outside source, medicated, controlled, and sterilized. (We have the media and other social influences to thank for that.) We are rewarded for acting/speaking/looking like young girls versus confident women. We have too few powerful, healthy role models, but plenty of exhausted moms and emaciated models front and center on our cultural stage. We have a hard time appreciating our grown-up female bodies. We're made to feel that feminine intuition is fickle. We suspect that our energy is unstable. We're conditioned to think that our periods are shameful and disgusting. We look for ways to fix what's broken. We discipline the highs and lows of our female essence. We disconnect from our own bodies and, often, our deepest sense of knowing. Ultimately, our mind-body conversation tips the scales in a negative direction, and this too affects hormone balance. And since hypersuck (that old cultural conditioning) tricks us into thinking our bodies are supposed to be acting this way, we allow serious hormonal issues - and all the symptoms that tag along - to linger for years before seeking out any kind of sustainable action to help heal ourselves. Sadly, many women lose faith long before reaching the point of action.

Projects: Short-term efforts in your work or life that you’re working on now. Areas: Long-term responsibilities you want to manage over time. Resources: Topics or interests that may be useful in the future. Archives: Inactive items from the other three categories.

Rees and Tavistock understood, through their extensive engagement in group work, that manipulation based upon bourgeois conceptions of the outside world as magical (mother’s fears) was fundamental to mass control. In other words, the Institute looked for methods by which to manage populations by exploiting their ideology. By first creating numerous social groups and then setting such groups into competition contingency, and making all gains contingent on winning these at the expense of the contingency groups, a self-policing fascist social order could be established. It was merely necessary to atomize the subject population, employing an “armamentarium of sociological and psychiatric weaponry to the effect of so dividing the people against itself,”62 setting race against race, language group against language group, women’s ‘self-interest’ against men as ‘oppressors,’ further subdivide them by professional category and so on, and to further subdivide them into small territorial community ‘self-interest’ groups, that the military forces are “never confronted with more than a small material force represented by a hard core resistant to a generally effective combination of sociological and psychiatric weapons of control.”63

Refusing to acknowledge the contracts of women in pornography places them in the same legal category as children or mental incompetents. In Indianapolis, the anti-pornography ordinance argued that women, like children, needed special protection under the law: "Children are incapable of consenting to engage in pornographic conduct.... By the same token, the physical and psychological well-being of women ought to be afforded comparable protection, for the coercive environment ... vitiates any notion that they consent or `choose' to perform in pornography." [2] This attitude of "I'm a helpless victim" could easily backfire on women who may be required to prove they are able to manage their own finances, or to handle custody of their own children. Moreover, the idea of men "emotionally or verbally coercing" women re-enforces the concept of men as intellectually and psychologically stronger than women. It is the old "Man of Steel/ Woman of Kleenex" myth.

The 5 Love Languages What makes the difference between those moments we deeply feel loved by another human being and the moments we don’t, despite their best efforts? What makes the difference between the people who make us feel like one of the Seven Wonders of the World, and those who, while they love us just as much, only manage to make us feel like we’re just another partner on their list? According to Gary Chapman, author of the Best Seller The 5 Love Languages: The Secret to Love That Lasts, the ways in which we manifest love and receive it can be grouped into five categories: Words of affirmation Quality time Gifts Acts of service Touch

The dimensions impacting your team’s structure the most, and the ones you must most carefully consider include: The maturity of the market: the less mature the market (read: the more unique your product category is), the more evangelizers you need, as opposed to the next point: The maturity of your product: the less mature the product, the more hand-holding the customer needs. The maturity of your deployment process: the easier it is for the customer to get on-boarded and become self-sufficient, the more streamlined your organization can be (fewer roles, less complexity and fewer people touching the customer). The size of your customer base: the more customers you have to manage, the more important it is to move quickly towards automating activities in order to control costs. The extent of the Land-and-Expand strategy: the more potential for expansion there is with your customers, the more involved you want to be with them over time and the more quickly you would want to move commercial responsibilities over from Sales to the Customer Success organization.

PROLETARIAT. This is the term used by Karl Marx to refer to the working class, and it is defined as the class within capitalism that does not own the means of production, the class that owns nothing other than its labor power. The proletariat is locked in struggle with the bourgeoisie which owns and controls the means of production, and by extension controls the state. Gradually developing in size, organization, and class consciousness the proletariat, Marx believes, will bring about revolutionary change, overthrowing capitalism and instituting communism after a transitional phase of the dictatorship of the proletariat. With the advent of communism and the abolition of private property the proletariat along with all other classes will disappear. There are a number of significant problems with Marx’s notion of the proletariat. First, Marx nowhere develops a theory of class and fails to offer more than a terse definition of the proletariat. This means that it is very difficult to determine exactly who falls into the category of proletarian. For example, managers, professionals, intellectuals and housewives/husbands are all propertyless, but it is not clear if they should be included in the proletariat since they do not create value and in the case of managers and professionals in particular they may earn vastly more than and see themselves very differently from a more typical member of the proletariat such as a factory worker. Also, there is the problem of the lack of a revolutionary consciousness emerging in the proletariat, which has led to some Marxists, such as Vladimir Ilich Lenin, arguing for a vanguard party to import revolutionary consciousness into the proletariat, and others, for example the members of the Frankfurt School, taking a more pessimistic view of the possibility of the proletariat being an agent of revolution at all.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, outsourcing is basically the payment you pay a freelancer to do the work they are good at.

I’d spent my life dealing with courtiers, scores of them, but now I dealt mostly with just three, all middle-aged white men who’d managed to consolidate power through a series of bold Machiavellian manoeuvres. They had normal names, exceedingly British names, but they sort more easily into zoological categories. The Bee. The Fly. And the Wasp.

Often a category emerges when an enabling technology, a shift in customer preferences and a supporting ecosystem manage to come together at once.

Take a look at your calendar and write down your role in meetings. This goes for explicit roles, like owning a meeting’s agenda, and also for more nuanced roles, like being the first person to champion others’ ideas, or the person who is diplomatic enough to raise difficult concerns. Take a second pass on your calendar for non-meeting stuff, like interviewing and closing candidates. Look back over the past six months for recurring processes, like roadmap planning, performance calibrations, or head count decisions, and document your role17 in each of those processes. For each of the individuals you support, in which areas are your skills and actions most complementary to theirs? How do you help them? What do they rely on you for? Maybe it’s authorization, advice navigating the organization, or experience in the technical domain. Audit inbound chats and emails for requests and questions coming your way. If you keep a to-do list, look at the categories of the work you’ve completed over the past six months, as well as the stuff you’ve been wanting to do but keep putting off. Think through the external relationships that have been important for you in your current role. What kinds of folks have been important, and who are the strategic partners that someone needs to know?

The fact is that one person’s growth stock is another’s value stock. Recently, the investment data company Lipper has reported that Citigroup, AIG and IBM are among the top 15 mutual fund holdings in both the large company “value” and “growth” categories. This brings us to our next point, which perhaps best explains why Marathon should never be labelled as a pure value investor. Our capital cycle process examines the effects of the creative and destructive forces of capitalism over time. A growth stock usually becomes a value stock after excess capital, lured in by large current profitability, brings about a decline in returns. When this becomes extreme, as was the case during the technology bubble, the resultant bust can turn growth stocks into value stocks almost overnight. The telecoms sector provides

He laid out the defining characteristics, workflow, and management as follows. A two-pizza team will: Be small. No more than ten people. Be autonomous. They should have no need to coordinate with other teams to get their work done. With the new service-based software architecture in place, any team could simply refer to the published application programming interfaces (APIs) for other teams. (More on this new software architecture to follow.) Be evaluated by a well-defined “fitness function.” This is the sum of a weighted series of metrics. Example: a team that is in charge of adding selection in a product category might be evaluated on: a)  how many new distinct items were added for the period (50 percent weighting) b)  how many units of those new distinct items were sold (30 percent weighting) c)  how many page views those distinct items received (20 percent weighting) Be monitored in real time. A team’s real-time score on its fitness function would be displayed on a dashboard next to all the other two-pizza teams’ scores. Be the business owner. The team will own and be responsible for all aspects of its area of focus, including design, technology, and business results. This paradigm shift eliminates the all-too-often heard excuses such as, “We built what the business folks asked us to, they just asked for the wrong product,” or “If the tech team had actually delivered what we asked for and did it on time, we would have hit our numbers.” Be led by a multidisciplined top-flight leader. The leader must have deep technical expertise, know how to hire world-class software engineers and product managers, and possess excellent business judgment. Be self-funding. The team’s work will pay for itself. Be approved in advance by the S-Team. The S-Team must approve the formation of every two-pizza team.

I was finding it hard to manage my negative thoughts because, outside of Wendell’s office, they didn’t have much of an outlet. Breakups tend to fall into the category of silent losses, less tangible to other people. You have a miscarriage, but you didn’t lose a baby. You have a breakup, but you didn’t lose a spouse. So friends assume that you’ll move on relatively quickly, and things like these concert tickets become an almost welcome external acknowledgment of your loss—not only of the person but of the time and company and daily routines, of the private jokes and references, and of the shared memories that now are yours alone to carry.

IRCC Announces Eligible Programs for PGWPs Immigration, Refugees and Citizenship Canada (IRCC) has updated its guidelines regarding the programs eligible for a Post-Graduation Work Permit (PGWP). As of November 1, international graduates applying for a PGWP must meet additional field of study requirements to qualify for this essential work permit. Eligible Fields of Study for PGWPs The eligible fields of study for the PGWP correspond to the occupation-based Express Entry categories introduced by IRCC in 2023. These categories are aligned with national labor market demands and include the following: • Agriculture and Agri-Food • Healthcare • Science, Technology, Engineering, and Mathematics (STEM) • Trade • Transport Eligible programs in these fields are classified using the Classification of Instructional Programs (CIP), a systematic approach to describing and categorizing educational programs in Canada, akin to the National Occupation Classification (NOC) system used for job classification. Below is a summary of selected instructional programs eligible for the PGWP, along with their respective CIP codes: CIP 2021 Title CIP 2021 Code Field of Study Category Agricultural business and management, general 01.0101 Agriculture and agri-food Animal/livestock husbandry and production 01.0302 Agriculture and agri-food Plant nursery operations and management 01.0606 Agriculture and agri-food Animal health 01.0903 Agriculture and agri-food Agronomy and crop science 01.1102 Agriculture and agri-food Special education and teaching, general 13.1001 Healthcare Exercise physiology 26.0908 Healthcare Physical therapy assistant 51.0806 Healthcare Polysomnography 51.0917 Healthcare Cytotechnology/cytotechnologist 51.1002 Healthcare Computer programming/programmer, general 11.0201 STEM Chemical engineering 14.0701 STEM Engineering mechanics 14.1101 STEM Water, wetlands and marine resources management 03.0205 STEM Computer graphics 11.0803 STEM Electrician 46.0302 Trade Heating, air conditioning, ventilation and refrigeration maintenance technology/technician 47.0201 Trade Machine tool technology/machinist 48.0501 Trade Insulator 46.0414 Trade Plumbing technology/plumber 46.0503 Trade Heavy equipment maintenance technology/technician 47.0302 Transport Air traffic controller 49.0105 Transport Truck and bus driver/commercial vehicle operator and instructor 49.0205 Transport Flight instructor 49.0108 Transport Transportation and materials moving, other 49.9999 Transport

Chapter 3), the resulting index variables typically are continuous as well. When variables are continuous, we should not recode them as categorical variables just to use the techniques of the previous chapters. Continuous variables provide valuable information about distances between categories and often have a broader range of values than ordinal variables. Recoding continuous variables as categorical variables is discouraged because it results in a loss of information; we should use tests such as the t-test. Statistics involving continuous variables usually require more test assumptions. Many of these tests are referred to as parametric statistics; this term refers to the fact that they make assumptions about the distribution of data and also that they are used to make inferences about population parameters. Formally, the term parametric means that a test makes assumptions about the distribution of the underlying population. Parametric tests have more test assumptions than nonparametric tests, most typically that the variable is

variable. In social science, this is called a nomothetic mode of explanation—the isolation of the most important factors. This approach is consistent with the philosophy of seeking complete but parsimonious explanations in science.1 The second part involves addressing those variables that were not considered as being of most relevance. Regarding the first part, the specification of the “most important” independent variables is a judicious undertaking. The use of a nomothetic strategy implies that a range of plausible models exists—different analysts may identify different sets of “most important” independent variables. Analysts should ask which different factors are most likely to affect or cause their dependent variable, and they are likely to justify, identify, and operationalize their choices differently. Thus, the term full model specification does not imply that only one model or even a best model exists, but rather it refers to a family of plausible models. Most researchers agree that specification should (1) be driven by theory, that is, by persuasive arguments and perspectives that identify and justify which factors are most important, and (2) inform why the set of such variables is regarded as complete and parsimonious. In practice, the search for complete, parsimonious, and theory-driven explanations usually results in multiple regression models with about 5–12 independent variables; theory seldom results in less than 5 variables, and parsimony and problems of statistical estimation, discussed further, seldom result in models with more than 12. Key Point We cannot examine the effect of all possible variables. Rather, we focus on the most relevant ones. The search for parsimonious explanations often leads analysts to first identify different categories of factors that most affect their dependent variable. Then, after these categories of factors have been identified, analysts turn to the task of trying to measure each, through either single or index variables. As an example,

Thus, multiple regression requires two important tasks: (1) specification of independent variables and (2) testing of the error term. An important difference between simple regression and multiple regression is the interpretation of the regression coefficients in multiple regression (b1, b2, b3, …) in the preceding multiple regression model. Although multiple regression produces the same basic statistics discussed in Chapter 14 (see Table 14.1), each of the regression coefficients is interpreted as its effect on the dependent variable, controlled for the effects of all of the other independent variables included in the regression. This phrase is used frequently when explaining multiple regression results. In our example, the regression coefficient b1 shows the effect of x1 on y, controlled for all other variables included in the model. Regression coefficient b2 shows the effect of x2 on y, also controlled for all other variables in the model, including x1. Multiple regression is indeed an important and relatively simple way of taking control variables into account (and much easier than the approach shown in Appendix 10.1). Key Point The regression coefficient is the effect on the dependent variable, controlled for all other independent variables in the model. Note also that the model given here is very different from estimating separate simple regression models for each of the independent variables. The regression coefficients in simple regression do not control for other independent variables, because they are not in the model. The word independent also means that each independent variable should be relatively unaffected by other independent variables in the model. To ensure that independent variables are indeed independent, it is useful to think of the distinctively different types (or categories) of factors that affect a dependent variable. This was the approach taken in the preceding example. There is also a statistical reason for ensuring that independent variables are as independent as possible. When two independent variables are highly correlated with each other (r2 > .60), it sometimes becomes statistically impossible to distinguish the effect of each independent variable on the dependent variable, controlled for the other. The variables are statistically too similar to discern disparate effects. This problem is called multicollinearity and is discussed later in this chapter. This problem is avoided by choosing independent variables that are not highly correlated with each other. A WORKING EXAMPLE Previously (see Chapter 14), the management analyst with the Department of Defense found a statistically significant relationship between teamwork and perceived facility productivity (p <.01). The analyst now wishes to examine whether the impact of teamwork on productivity is robust when controlled for other factors that also affect productivity. This interest is heightened by the low R-square (R2 = 0.074) in Table 14.1, suggesting a weak relationship between teamwork and perceived productivity. A multiple regression model is specified to include the effects of other factors that affect perceived productivity. Thinking about other categories of variables that could affect productivity, the analyst hypothesizes the following: (1) the extent to which employees have adequate technical knowledge to do their jobs, (2) perceptions of having adequate authority to do one’s job well (for example, decision-making flexibility), (3) perceptions that rewards and recognition are distributed fairly (always important for motivation), and (4) the number of sick days. Various items from the employee survey are used to measure these concepts (as discussed in the workbook documentation for the Productivity dataset). After including these factors as additional independent variables, the result shown in Table 15.1 is

others seek to create and predict classifications through independent variables. Table 18.4 Factor Analysis Note: Factor analysis with Varimax rotation. Source: E. Berman and J. West. (2003). “What Is Managerial Mediocrity? Definition, Prevalence and Negative Impact (Part 1).” Public Performance & Management Review, 27 (December): 7–27. Multidimensional scaling and cluster analysis aim to identify key dimensions along which observations (rather than variables) differ. These techniques differ from factor analysis in that they allow for a hierarchy of classification dimensions. Some also use graphics to aid in visualizing the extent of differences and to help in identifying the similarity or dissimilarity of observations. Network analysis is a descriptive technique used to portray relationships among actors. A graphic representation can be made of the frequency with which actors interact with each other, distinguishing frequent interactions from those that are infrequent. Discriminant analysis is used when the dependent variable is nominal with two or more categories. For example, we might want to know how parents choose among three types of school vouchers. Discriminant analysis calculates regression lines that distinguish (discriminate) among the nominal groups (the categories of the dependent variable), as well as other

regression lines that describe the relationship of the independent variables for each group (called classification functions). The emphasis in discriminant analysis is the ability of the independent variables to correctly predict values of the nominal variable (for example, group membership). Discriminant analysis is one strategy for dealing with dependent variables that are nominal with three or more categories. Multinomial logistic regression and ordinal regression have been developed in recent years to address nominal and ordinal dependent variables in logic regression. Multinomial logistic regression calculates functions that compare the probability of a nominal value occurring relative to a base reference group. The calculation of such probabilities makes this technique an interesting alternative to discriminant analysis. When the nominal dependent variable has three values (say, 1, 2, and 3), one logistic regression predicts the likelihood of 2 versus 1 occurring, and the other logistic regression predicts the likelihood of 3 versus 1 occurring, assuming that “1” is the base reference group.7 When the dependent variable is ordinal, ordinal regression can be used. Like multinomial logistic regression, ordinal regression often is used to predict event probability or group membership. Ordinal regression assumes that the slope coefficients are identical for each value of the dependent variable; when this assumption is not met, multinomial logistic regression should be considered. Both multinomial logistic regression and ordinal regression are relatively recent developments and are not yet widely used. Statistics, like other fields of science, continues to push its frontiers forward and thereby develop new techniques for managers and analysts. Key Point Advanced statistical tools are available. Understanding the proper circumstances under which these tools apply is a prerequisite for using them.

When he died, much was made of how singular Steve Jobs had been. For comparisons, observers needed to reach back to the mythic inventors and showmen of earlier eras, particularly Thomas Edison and Walt Disney. Jobs was singular, to be sure. But he also was of a type. He was what psychotherapist and business coach Michael Maccoby called a “productive narcissist.” In 2000, Maccoby published an insightful article in the Harvard Business Review that applies Freudian terminology to three categories of executives Maccoby had observed in corporate life. “Erotics” feel a need to be loved, value consensus, and as a result are not natural leaders. These are the people to whom a manager should assign tasks—and then heap praise for a job well done. “Obsessives” are by-the-books tacticians with a knack for making the trains run on time. An efficient head of logistics or bottom-line-oriented spreadsheet jockey is the classic obsessive. The greats of business history, however, are “productive narcissists,” visionary risk takers with a burning desire to “change the world.” Corporate narcissists are charismatic leaders willing to do whatever it takes to win and who couldn’t give a fig about being liked. Steve Jobs was the textbook example of a productive narcissist. An unimpressed Jobs was famous for calling other companies “bozos.” His own executives endured their rides on what one called the “bozo/hero rollercoaster,” often within the same marathon meeting.

Philosophy and science have not always been friendly toward the idea of God, the reason being that they are dedicated to the task of accounting for things and are impatient with anything that refuses to give an account of itself. The philosopher and the scientist will admit that there is much that they do not know; but that is quite another thing from admitting that there is something which they can never know, which indeed they have no technique for discovering. To admit that there is One who lies beyond us, who exists outside of all our categories, who will not be dismissed with a name, who will not appear before the bar of our reason, nor submit to our curious inquiries: this requires a great deal of humility, more than most of us possess, so we save face by thinking God down to our level, or at least down to where we can manage Him. Yet how He eludes us! For He is everywhere while He is nowhere, for "where" has to do with matter and space, and God is independent of both. He is unaffected by time or motion, is wholly self-dependent and owes nothing to the worlds His hands have made. Timeless, spaceless, single, lonely, Yet sublimely Three, Thou art grandly, always, only God is Unity! Lone in grandeur, lone in glory, Who shall tell Thy wondrous story? Awful Trinity! FREDERICK W. FABER It is not a cheerful thought that millions of us who live in a land of Bibles, who belong to churches and labor to promote the Christian religion, may yet pass our whole life on this earth without once having thought or tried to think seriously about the being of God. Few of us have let our hearts gaze in wonder at the I AM, the self-existent Self back of which no creature can think. Such thoughts are too painful for us. We prefer to think where it will do more good - about how to build a better mousetrap, for instance, or how to make two blades of grass grow where one grew before. And for this we are now paying a too heavy price in the secularlzation of our religion and the decay of our inner lives. Perhaps some sincere but puzzled Christian may at this juncture wish to inquire about the practicality of such concepts as I am trying to set forth here. "What bearing does this have on my life?" he may ask. "What possible meaning can the self-existence of God have for me and others like me in a world such as this and in times such as these?" To this I reply that, because we are the handiwork of God, it follows that all our problems and their solutions are theological. Some knowledge of what kind of God it is that operates the universe is indispensable to a sound philosophy of life and a sane outlook on the world scene. The much-quoted advice of Alexander Pope, "Know then thyself, presume not God to scan: The proper study of mankind is man," if followed literally would destroy any possibility of man's ever knowing himself in any but the most superficial way. We can never know who or what we are till we know at least something of what God is. For this reason the self-existence of God is not a wisp of dry doctrine, academic and remote; it is in fact as near as our breath and as practical as the latest surgical technique.

Richard Feynman said that the differences between true sciences and the pseudo-sciences – a category that includes the management-speak of the business schools – was that the former try to be honest, while the latter do not.

Analysis of Variance (ANOVA)   CHAPTER OBJECTIVES After reading this chapter, you should be able to Use one-way ANOVA when the dependent variable is continuous and the independent variable is nominal or ordinal with two or more categories Understand the assumptions of ANOVA and how to test for them Use post-hoc tests Understand some extensions of one-way ANOVA This chapter provides an essential introduction to analysis of variance (ANOVA). ANOVA is a family of statistical techniques, the most basic of which is the one-way ANOVA, which provides an essential expansion of the t-test discussed in Chapter 12. One-way ANOVA allows analysts to test the effect of a continuous variable on an ordinal or nominal variable with two or more categories, rather than only two categories as is the case with the t-test. Thus, one-way ANOVA enables analysts to deal with problems such as whether the variable “region” (north, south, east, west) or “race” (Caucasian, African American, Hispanic, Asian, etc.) affects policy outcomes or any other matter that is measured on a continuous scale. One-way ANOVA also allows analysts to quickly determine subsets of categories with similar levels of the dependent variable. This chapter also addresses some extensions of one-way ANOVA and a nonparametric alternative. ANALYSIS OF VARIANCE Whereas the t-test is used for testing differences between two groups on a continuous variable (Chapter 12), one-way ANOVA is used for testing the means of a continuous variable across more than two groups. For example, we may wish to test whether income levels differ among three or more ethnic groups, or whether the counts of fish vary across three or more lakes. Applications of ANOVA often arise in medical and agricultural research, in which treatments are given to different groups of patients, animals, or crops. The F-test statistic compares the variances within each group against those that exist between each group and the overall mean: Key Point ANOVA extends the t-test; it is used when the independent variable is

The Scheffe test is the most conservative, the Tukey test is best when many comparisons are made (when there are many groups), and the Bonferroni test is preferred when few comparisons are made. However, these post-hoc tests often support the same conclusions.3 To illustrate, let’s say the independent variable has three categories. Then, a post-hoc test will examine hypotheses for whether . In addition, these tests will also examine which categories have means that are not significantly different from each other, hence, providing homogeneous subsets. An example of this approach is given later in this chapter. Knowing such subsets can be useful when the independent variable has many categories (for example, classes of employees). Figure 13.1 ANOVA: Significant and Insignificant Differences Eta-squared (η2) is a measure of association for mixed nominal-interval variables and is appropriate for ANOVA. Its values range from zero to one, and it is interpreted as the percentage of variation explained. It is a directional measure, and computer programs produce two statistics, alternating specification of the dependent variable. Finally, ANOVA can be used for testing interval-ordinal relationships. We can ask whether the change in means follows a linear pattern that is either increasing or decreasing. For example, assume we want to know whether incomes increase according to the political orientation of respondents, when measured on a seven-point Likert scale that ranges from very liberal to very conservative. If a linear pattern of increase exists, then a linear relationship is said to exist between these variables. Most statistical software packages can test for a variety of progressive relationships. ANOVA Assumptions ANOVA assumptions are essentially the same as those of the t-test: (1) the dependent variable is continuous, and the independent variable is ordinal or nominal, (2) the groups have equal variances, (3) observations are independent, and (4) the variable is normally distributed in each of the groups. The assumptions are tested in a similar manner. Relative to the t-test, ANOVA requires a little more concern regarding the assumptions of normality and homogeneity. First, like the t-test, ANOVA is not robust for the presence of outliers, and analysts examine the presence of outliers for each group. Also, ANOVA appears to be less robust than the t-test for deviations from normality. Second, regarding groups having equal variances, our main concern with homogeneity is that there are no substantial differences in the amount of variance across the groups; the test of homogeneity is a strict test, testing for any departure from equal variances, and in practice, groups may have neither equal variances nor substantial differences in the amount of variances. In these instances, a visual finding of no substantial differences suffices. Other strategies for dealing with heterogeneity are variable transformations and the removal of outliers, which increase variance, especially in small groups. Such outliers are detected by examining boxplots for each group separately. Also, some statistical software packages (such as SPSS), now offer post-hoc tests when equal variances are not assumed.4 A Working Example The U.S. Environmental Protection Agency (EPA) measured the percentage of wetland loss in watersheds between 1982 and 1992, the most recent period for which data are available (government statistics are sometimes a little old).5 An analyst wants to know whether watersheds with large surrounding populations have

Chapter 3), the resulting index variables typically are continuous as well. When variables are continuous, we should not recode them as categorical variables just to use the techniques of the previous chapters. Continuous variables provide valuable information about distances between categories and often have a broader range of values than ordinal variables. Recoding continuous variables as categorical variables is discouraged because it results in a loss of information; we should use tests such as the t-test. Statistics involving continuous variables usually require more test assumptions. Many of these tests are referred to as parametric statistics; this term refers to the fact that they make assumptions about the distribution of data and also that they are used to make inferences about population parameters. Formally, the term parametric means that a test makes assumptions about the distribution of the underlying population. Parametric tests have more test assumptions than nonparametric tests, most typically that the variable is continuous and normally distributed (see Chapter 7). These and other test assumptions are also part of t-tests. This chapter focuses on three common t-tests: for independent samples, for dependent (paired) samples, and the one-sample t-test. For each, we provide examples and discuss test assumptions. This chapter also discusses nonparametric alternatives to t-tests, which analysts will want to consider when t-test assumptions cannot be met for their variables. As a general rule, a bias exists toward using parametric tests because they are more powerful than nonparametric tests. Nonparametric alternatives to parametric tests often transform continuous testing variables into other types of variables, such as rankings, which reduces information about them. Although nonparametric statistics are easier to use because they have fewer assumptions, parametric tests are more likely to find statistical evidence that two variables are associated; their tests often have lower p-values than nonparametric statistics.1

usually does not present much of a problem. Some analysts use t-tests with ordinal rather than continuous data for the testing variable. This approach is theoretically controversial because the distances among ordinal categories are undefined. This situation is avoided easily by using nonparametric alternatives (discussed later in this chapter). Also, when the grouping variable is not dichotomous, analysts need to make it so in order to perform a t-test. Many statistical software packages allow dichotomous variables to be created from other types of variables, such as by grouping or recoding ordinal or continuous variables. The second assumption is that the variances of the two distributions are equal. This is called homogeneity of variances. The use of pooled variances in the earlier formula is justified only when the variances of the two groups are equal. When variances are unequal (called heterogeneity of variances), revised formulas are used to calculate t-test test statistics and degrees of freedom.7 The difference between homogeneity and heterogeneity is shown graphically in Figure 12.2. Although we needn’t be concerned with the precise differences in these calculation methods, all t-tests first test whether variances are equal in order to know which t-test test statistic is to be used for subsequent hypothesis testing. Thus, every t-test involves a (somewhat tricky) two-step procedure. A common test for the equality of variances is the Levene’s test. The null hypothesis of this test is that variances are equal. Many statistical software programs provide the Levene’s test along with the t-test, so that users know which t-test to use—the t-test for equal variances or that for unequal variances. The Levene’s test is performed first, so that the correct t-test can be chosen. Figure 12.2 Equal and Unequal Variances The term robust is used, generally, to describe the extent to which test conclusions are unaffected by departures from test assumptions. T-tests are relatively robust for (hence, unaffected by) departures from assumptions of homogeneity and normality (see below) when groups are of approximately equal size. When groups are of about equal size, test conclusions about any difference between their means will be unaffected by heterogeneity. The third assumption is that observations are independent. (Quasi-) experimental research designs violate this assumption, as discussed in Chapter 11. The formula for the t-test test statistic, then, is modified to test whether the difference between before and after measurements is zero. This is called a paired t-test, which is discussed later in this chapter. The fourth assumption is that the distributions are normally distributed. Although normality is an important test assumption, a key reason for the popularity of the t-test is that t-test conclusions often are robust against considerable violations of normality assumptions that are not caused by highly skewed distributions. We provide some detail about tests for normality and how to address departures thereof. Remember, when nonnormality cannot be resolved adequately, analysts consider nonparametric alternatives to the t-test, discussed at the end of this chapter. Box 12.1 provides a bit more discussion about the reason for this assumption. A combination of visual inspection and statistical tests is always used to determine the normality of variables. Two tests of normality are the Kolmogorov-Smirnov test (also known as the K-S test) for samples with more than 50 observations and the Shapiro-Wilk test for samples with up to 50 observations. The null hypothesis of

A NONPARAMETRIC ALTERNATIVE A nonparametric alternative to one-way ANOVA is Kruskal-Wallis’ H test of one-way ANOVA. Instead of using the actual values of the variables, Kruskal-Wallis’ H test assigns ranks to the variables, as shown in Chapter 11. As a nonparametric method, Kruskal-Wallis’ H test does not assume normal populations, but the test does assume similarly shaped distributions for each group. This test is applied readily to our one-way ANOVA example, and the results are shown in Table 13.5. Table 13.5 Kruskal-Wallis’ H-Test of One-Way ANOVA Kruskal-Wallis’ H one-way ANOVA test shows that population is significantly associated with watershed loss (p = .013). This is one instance in which the general rule that nonparametric tests have higher levels of significance is not seen. Although Kruskal-Wallis’ H test does not report mean values of the dependent variable, the pattern of mean ranks is consistent with Figure 13.2. A limitation of this nonparametric test is that it does not provide post-hoc tests or analysis of homogeneous groups, nor are there nonparametric n-way ANOVA tests such as for the two-way ANOVA test described earlier. SUMMARY One-way ANOVA extends the t-test by allowing analysts to test whether two or more groups have different means of a continuous variable. The t-test is limited to only two groups. One-way ANOVA can be used, for example, when analysts want to know if the mean of a variable varies across regions, racial or ethnic groups, population or employee categories, or another grouping with multiple categories. ANOVA is family of statistical techniques, and one-way ANOVA is the most basic of these methods. ANOVA is a parametric test that makes the following assumptions: The dependent variable is continuous. The independent variable is ordinal or nominal. The groups have equal variances. The variable is normally distributed in each of the groups. Relative to the t-test, ANOVA requires more attention to the assumptions of normality and homogeneity. ANOVA is not robust for the presence of outliers, and it appears to be less robust than the t-test for deviations from normality. Variable transformations and the removal of outliers are to be expected when using ANOVA. ANOVA also includes three other types of tests of interest: post-hoc tests of mean differences among categories, tests of homogeneous subsets, and tests for the linearity of mean differences across categories. Two-way ANOVA addresses the effect of two independent variables on a continuous dependent variable. When using two-way ANOVA, the analyst is able to distinguish main effects from interaction effects. Kruskal-Wallis’ H test is a nonparametric alternative to one-way ANOVA. KEY TERMS   Analysis of variance (ANOVA) ANOVA assumptions Covariates Factors Global F-test Homogeneous subsets Interaction effect Kruskal-Wallis’ H test of one-way ANOVA Main effect One-way ANOVA Post-hoc test Two-way ANOVA Notes   1. The between-group variance is

Papers are organized into only three categories: needs attention, should be saved (contractual documents), and should be saved (others). The point is to keep all papers in one category in the same container or folder and to purposely refrain from subdividing them any further by content. In other words, you only need three containers or folders. Don’t forget that the “needs attention” box ought to be empty. If there are papers in it, be aware that this means you have left things undone in your life that require your attention. Although I have never managed to completely empty my “needs attention” box, this is the goal to which we should aspire.

knowledge of cardiovascular disease and whether such knowledge reduces behaviors that put people at risk for cardiovascular disease. Simple regression is used to analyze the relationship between two continuous variables. Continuous variables assume that the distances between ordered categories are determinable.1 In simple regression, one variable is defined as the dependent variable and the other as the independent variable (see Chapter 2 for the definitions). In the current example, the level of knowledge obtained from workshops and other sources might be measured on a continuous scale and treated as an independent variable, and behaviors that put people at risk for cardiovascular disease might also be measured on a continuous scale and treated as a dependent variable. Scatterplot The relationship between two continuous variables can be portrayed in a scatterplot. A scatterplot is merely a plot of the data points for two continuous variables, as shown in Figure 14.1 (without the straight line). By convention, the dependent variable is shown on the vertical (or Y-) axis, and the independent variable on the horizontal (or X-) axis. The relationship between the two variables is estimated as a straight line relationship. The line is defined by the equation y = a + bx, where a is the intercept (or constant), and b is the slope. The slope, b, is defined as Figure 14.1 Scatterplot or (y2 – y1)/(x2 – x1). The line is calculated mathematically such that the sum of distances from each observation to the line is minimized.2 By definition, the slope indicates the change in y as a result of a unit change in x. The straight line, defined by y = a + bx, is also called the regression line, and the slope (b) is called the regression coefficient. A positive regression coefficient indicates a positive relationship between the variables, shown by the upward slope in Figure 14.1. A negative regression coefficient indicates a negative relationship between the variables and is indicated by a downward-sloping line. Test of Significance The test of significance of the regression coefficient is a key test that tells us whether the slope (b) is statistically different from zero. The slope is calculated from a sample, and we wish to know whether it is significant. When the regression line is horizontal (b = 0), no relationship exists between the two variables. Then, changes in the independent variable have no effect on the dependent variable. The following hypotheses are thus stated: H0: b = 0, or the two variables are unrelated. HA: b ≠ 0, or the two variables are (positively or negatively) related. To determine whether the slope equals zero, a t-test is performed. The test statistic is defined as the slope, b, divided by the standard error of the slope, se(b). The standard error of the slope is a measure of the distribution of the observations around the regression slope, which is based on the standard deviation of those observations to the regression line: Thus, a regression line with a small slope is more likely to be statistically significant when observations lie closely around it (that is, the standard error of the observations around the line is also small, resulting in a larger test statistic). By contrast, the same regression line might be statistically insignificant when observations are scattered widely around it. Observations that lie farther from the

to the measures described earlier. Hence, 90 percent of the variation in one variable can be explained by the other. For the variables given earlier, the Spearman’s rank correlation coefficient is .274 (p < .01), which is comparable to r reported in preceding sections. Box 14.1 illustrates another use of the statistics described in this chapter, in a study of the relationship between crime and poverty. SUMMARY When analysts examine relationships between two continuous variables, they can use simple regression or the Pearson’s correlation coefficient. Both measures show (1) the statistical significance of the relationship, (2) the direction of the relationship (that is, whether it is positive or negative), and (3) the strength of the relationship. Simple regression assumes a causal and linear relationship between the continuous variables. The statistical significance and direction of the slope coefficient is used to assess the statistical significance and direction of the relationship. The coefficient of determination, R2, is used to assess the strength of relationships; R2 is interpreted as the percent variation explained. Regression is a foundation for studying relationships involving three or more variables, such as control variables. The Pearson’s correlation coefficient does not assume causality between two continuous variables. A nonparametric alternative to testing the relationship between two continuous variables is the Spearman’s rank correlation coefficient, which examines correlation among the ranks of the data rather than among the values themselves. As such, this measure can also be used to study relationships in which one or both variables are ordinal. KEY TERMS   Coefficient of determination, R2 Error term Observed value of y Pearson’s correlation coefficient, r Predicted value of the dependent variable y, ŷ Regression coefficient Regression line Scatterplot Simple regression assumptions Spearman’s rank correlation coefficient Standard error of the estimate Test of significance of the regression coefficient Notes   1. See Chapter 3 for a definition of continuous variables. Although the distinction between ordinal and continuous is theoretical (namely, whether or not the distance between categories can be measured), in practice ordinal-level variables with seven or more categories (including Likert variables) are sometimes analyzed using statistics appropriate for interval-level variables. This practice has many critics because it violates an assumption of regression (interval data), but it is often

Western thinking evolved from a mode that took the form of a tension between immersing in experience and abstracting from that experience through categorizing it (first order abstracting) to a mode that focused increasingly on second order abstracting in which the first order categories of experience were used to map and model not just the natural world but also the social world. This increasingly drew even further away from the local interaction of immersing in experience itself. Thought came to focus so heavily on second order abstractions of systems and models, understood as science, that when it was applied to human organizations, the ordinary reality of the experience of local interaction between actual human bodies disappeared from view as attention was focused on objectively operating on abstractions as if they were reality. I suggested that it was this movement in thought to second order abstraction, split off from immersion in local interaction, that led to the belief that organizations could be designed and manipulated by objective observers. The result is an inadequate way of thinking about organization and management that covers over the simple organizational reality of local interacting and leaves us without satisfying ways of understanding what is currently happening to organizations. In

executives typically fall into one of five decision-making categories: Charismatics can be initially exuberant about a new idea or proposal but will yield a final decision based on a balanced set of information. Thinkers can exhibit contradictory points of view within a single meeting and need to cautiously work through all the options before coming to a decision. Skeptics remain highly suspicious of data that don’t fit with their worldview and make decisions based on their gut feelings. Followers make decisions based on how other trusted executives, or they themselves, have made similar decisions in the past. And controllers focus on the pure facts and analytics of a decision because of their own fears and uncertainties. The five styles span a wide range of behaviors and characteristics. Controllers, for instance, have a strong aversion to risk; charismatics tend to seek it out. Despite such differences, people frequently use a one-size-fits-all approach when trying to convince their bosses, peers, and staff. They argue their case to a thinker the same way they would to a skeptic. Instead, managers should tailor their presentations to the executives they are trying to persuade, using the right buzzwords to deliver the appropriate information in the most effective sequence and format. After all, Bill Gates does not make decisions in the same way that Larry Ellison does. And knowing that can make a huge difference.

when someone is constantly late, they fall into three categories. The first, he called idiot savant. The type of person who is so smart in his or her field of expertise that their mind is literally elsewhere. In layman’s terms he explained that these people were smart in school and dumb on the bus. The second category was made up of perfectionists, people who were incapable of letting go of one task and moving on to another. These people were always playing catch-up, rarely rose to any real position of power, and needed to be managed properly. The third category, and the one to be most wary of, were the egomaniacs. These were the people who not only felt that their time was more important than anyone else’s, but who needed to prove it by constantly making others wait for them. Kennedy

Therefore, with these celebrity wannabees, 1) popularity—or the appearance of it—can be measured by how many Facebook friends or Twitter followers one has managed to acquire; 2) fame—however fleeting—can be attained by many through appearing on reality television shows or in videos gone viral on YouTube; even 3) wealth—or the appearance of it—can be attained through the buying of expensive homes, cars, and various adult toys on relatively cheap credit; and, finally, 4) real power is admittedly harder to achieve but not beyond the grasp of those willing to sacrifice ethics and do whatever it takes to attain it. This fourth quality or possession is probably as it has always been, but having easier access to the other three may just put this one within the grasp of more, especially those undeserving of it or who would possibly misuse it. Thankfully, not everyone in this category craves or seeks power. But beware those who do.

Despite initial enthusiasm from Page’s distributors, as an overall category, innerwear remained a low-profile product in retail stores. This would ultimately necessitate a high-pitched, pan-India advertising campaign from Page, but the costs were prohibitive. Competitive intensity from incumbents had already increased substantially during 1995–2000. When the company reached sales of Rs 21 crore in FY2000, Rupa and Maxwell were already at Rs 150 crore each. One level above them, in the mid-premium segment, brands like Liberty, Libertina and Tantex (TTK Tantex) were firmly ensconced. Associated Apparels (Liberty and Libertina) reported sales of Rs 100 crore during the same period. In a stroke of luck for Page, both TTK Tantex and Associated Apparels fell prey to labour strikes. TTK Tantex saw labour-related plant shutdowns in 1997 that lasted for two years, sending the company’s revenues into a steady descent (see Exhibit 55). The TTK Group had twenty companies across many sectors and, due to lack of management bandwidth to handle the crisis, sold the innerwear brand in FY02. In the same year, Associated Apparels had a labour strike in one of its factories that disrupted its supply chain. The exit of both TTK Tantex and the crippling of Associated Apparels played into Page’s hands as all the large innerwear retailers (dealers) in northern and western India shifted to Jockey.

Tom’s team distilled the thousand ideas down to 293 discussion topics. That was still way too many for a single day’s agenda, so a group of senior managers then met and whittled those down to 120 topics, organized into several broad categories such as Training, Environment and Culture; Cross-Show Resource Pooling (we often call our movies “shows”); Tools and Technology; and Workflow.

9. Reach you can buy, but stopping power and closing power are inherent to the product, primarily through the package. Both stopping power and closing power can be measured for individual products, as well as categories. The significance is that some products are good at attracting attention, but poor at closing the sale, whereas others are good at closing, but can’t seem to stop the traffic. Besides remedial package design, appropriate shelf management and promotional strategies can increase the stopping and closing power of existing products.

circulation management, and expanding the number (20) of government agencies to share the joint use system. In 2013, as the new administration started, the ACRC added the category of “by national project,” and opened the system to all central government agencies to use jointly. In addition, it made active efforts to enhance the analysis capacity of each agency by providing workshops on analysis capacity building, training and consulting for users, targeting the officials in charge of the analysis of each agency

In my world, real assets fall into several different categories: 1. Businesses that do not require my presence. I own them, but they are managed or run by other people. If I have to work there, it's not a business. It becomes my job. 2. Stocks. 3. Bonds. 4. Mutual funds. 5. Income-generating real estate. 6. Notes (lOUs). 7. Royalties from intellectual property such as music, scripts, patents. 8. And anything else that has value, produces income or appreciates and has a ready market.

Management who fall into this category are often so concerned about digital that they latch on to any idea, no matter how inappropriate. They want quick-fix solutions that will somehow solve digital. That makes them vulnerable to any charlatan with a digital product to sell.

There are seven primary types of things that you’ll want to keep track of and manage from an organizational perspective: • A “Projects” list • Project support material • Calendared actions and information • “Next Actions” lists • A “Waiting For” list • Reference material • A “Someday/Maybe” list The Importance of Hard Edges It’s critical that all of these categories be kept pristinely distinct from one another.

Defense Minister, General Militaru was definitely from the latter category. Iliescu wanted terrorists and he was about to provide them. The whole country wanted the terrorists caught and he wanted to provide that, too, he wanted to serve. Ceauşescu had stopped Militaru from serving eleven years before 1989. It was 1978 and Militaru was a three star general when he was pulled out of active duty and given a position in management in the Construction Industry Ministry - luckily for him. He was lucky. Ceauşescu feared the Russians. Militaru’s name came out in the Raven’s file as a GRU agent. The GRU was the secret service of the Red Army, and this was the reason why Ceauşescu took the Second Army from Militaru’s command and gave him that petty job in the construction industry. He would have been killed if Ceauşescu didn’t fear the Soviet backlash, that’s for sure. Twenty years after 1989 I see the events more clearly. But on that night I was young and stupid, and open to being manipulated like the other 23 million Romanians.

What Do the Results of a Successful Tour of Duty Look Like for the Company? A successful mission objective delivers results for the company for either quantitative or qualitative goals, such as launching a new product line and generating a certain dollar amount in first-year revenues, or achieving thought leadership in a specific market category, as measured by the writings of industry analysts. At LinkedIn, for example, managers ask, “How will the company be transformed by this employee?” What Do the Results of

I never use hedge funds because I am well aware of what drives future performance, and hedge funds start out with a great disadvantage in every major category: taxes, fees, risk management, transparency and liquidity.

Marc Goodman is a cyber crime specialist with an impressive résumé. He has worked with the Los Angeles Police Department, Interpol, NATO, and the State Department. He is the chief cyber criminologist at the Cybercrime Research Institute, founder of the Future Crime Institute, and now head of the policy, law, and ethics track at SU. When breaking down this threat, Goodman sees four main categories of concern. The first issue is personal. “In many nations,” he says, “humanity is fully dependent on the Internet. Attacks against banks could destroy all records. Someone’s life savings could vanish in an instant. Hacking into hospitals could cost hundreds of lives if blood types were changed. And there are already 60,000 implantable medical devices connected to the Internet. As the integration of biology and information technology proceeds, pacemakers, cochlear implants, diabetic pumps, and so on, will all become the target of cyber attacks.” Equally alarming are threats against physical infrastructures that are now hooked up to the net and vulnerable to hackers (as was recently demonstrated with Iran’s Stuxnet incident), among them bridges, tunnels, air traffic control, and energy pipelines. We are heavily dependent on these systems, but Goodman feels that the technology being employed to manage them is no longer up to date, and the entire network is riddled with security threats. Robots are the next issue. In the not-too-distant future, these machines will be both commonplace and connected to the Internet. They will have superior strength and speed and may even be armed (as is the case with today’s military robots). But their Internet connection makes them vulnerable to attack, and very few security procedures have been implemented to prevent such incidents. Goodman’s last area of concern is that technology is constantly coming between us and reality. “We believe what the computer tells us,” says Goodman. “We read our email through computer screens; we speak to friends and family on Facebook; doctors administer medicines based upon what a computer tells them the medical lab results are; traffic tickets are issued based upon what cameras tell us a license plate says; we pay for items at stores based upon a total provided by a computer; we elect governments as a result of electronic voting systems. But the problem with all this intermediated life is that it can be spoofed. It’s really easy to falsify what is seen on our computer screens. The more we disconnect from the physical and drive toward the digital, the more we lose the ability to tell the real from the fake. Ultimately, bad actors (whether criminals, terrorists, or rogue governments) will have the ability to exploit this trust.

As former deputy head of the presidential administration, later deputy prime minister and then assistant to the President on foreign affairs, Surkov has directed Russian society like one great reality show. He claps once and a new political party appears. He claps again and creates Nashi, the Russian equivalent of the Hitler Youth, who are trained for street battles with potential prodemocracy supporters and burn books by unpatriotic writers on Red Square. As deputy head of the administration he would meet once a week with the heads of the television channels in his Kremlin office, instructing them on whom to attack and whom to defend, who is allowed on TV and who is banned, how the President is to be presented, and the very language and categories the country thinks and feels in. The Ostankino TV presenters, instructed by Surkov, pluck a theme (oligarchs, America, the Middle East) and speak for twenty minutes, hinting, nudging, winking, insinuating though rarely ever saying anything directly, repeating words like “them” and “the enemy” endlessly until they are imprinted on the mind. They repeat the great mantras of the era: the President is the President of “stability,” the antithesis to the era of “confusion and twilight” in the 1990s. “Stability”—the word is repeated again and again in a myriad seemingly irrelevant contexts until it echoes and tolls like a great bell and seems to mean everything good; anyone who opposes the President is an enemy of the great God of “stability.” “Effective manager,” a term quarried from Western corporate speak, is transmuted into a term to venerate the President as the most “effective manager” of all. “Effective” becomes the raison d’être for everything: Stalin was an “effective manager” who had to make sacrifices for the sake of being “effective.” The words trickle into the streets: “Our relationship is not effective” lovers tell each other when they break up. “Effective,” “stability”: no one can quite define what they actually mean, and as the city transforms and surges, everyone senses things are the very opposite of stable, and certainly nothing is “effective,” but the way Surkov and his puppets use them the words have taken on a life of their own and act like falling axes over anyone who is in any way disloyal.

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five key stories. These common topics are: Leadership & Influence Challenges Mistakes / failures Successes Teamwork You should have at least one story per topic. Ideally, several of your stories will fall under two or more categories.