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  • What People Want (and How to Predict It)

    Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics & #8212; data, statistics, predictive modeling & #8212; to determine the likely success of their offerings. Instead, companies relied on the brilliance of tastemakers to predict and shape what people would buy. Creative judgment and expertise will always play a vital role in the creation, shaping and marketing of cultural products. But the balance between art and science is shifting. Today companies have unprecedented access to data and sophisticated technology that allows even the best-known experts to weigh factors and consider evidence that was unobtainable just a few years ago. And with increased cost and risk associated with the creation of cultural products, it has never been more important to get these decisions right. In this article, the authors describe the results of a study of prediction and recommendation efforts for a variety of cultural products. They discuss different approaches used to make predictions, the contexts in which these predictions are applied and the barriers to more extensive use, including the problem of decision making pre-creation. They then discuss two aspects of the prediction market. First, the need for better prediction for distributors of cultural products, and second, the potential for business models around prediction techniques.

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  • Why We Miss the Signs

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  • Does It Pay To Be Good?

    That is a question that has long puzzled marketers who have heard from customers that they want to do business with ethically based firms & #8212; defined as companies that produce products under conditions of progressive stakeholder relations, advanced environmental practices and respect for human rights. Marketers had no reason to doubt that sentiment, but they have always wondered if consumers would be willing to pay a higher price for ethically produced goods (since they tend to be more expensive to create.) It turns out that a series of controlled experiments proves that consumers will, in fact, pay a premium for ethically produced goods. But perhaps of equal interest is the fact that they will punish (by demanding a lower price) companies that are not seen as ethical. That relationship is not symmetrical. The punishment exacted is greater than the premium customers are willing to pay. How ethical do you have to be? Perhaps not as much as you might think. The research shows that a small degree of ethicalness “pays off.” It is not necessary for a company’s product to be “100% pure” in order to receive a price premium. This research is the first to find that consumers use price to punish unethical companies more than they use price to reward ethical companies, and that the ethicality of a company’s behavior is, indeed, an important consideration for consumers (as demonstrated in their willingness-to-pay decisions).

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  • The Loop You Can’t Get Out Of

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  • What Is Your Management Model?

    Companies are on the lookout for new forms of competitive advantage. One emerging possibility: the idea that a company's management model can become a source of advantage.

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  • A Manager’s Guide to Human Irrationalities

    People aren’t stupid "Ò they just often act that way. Noted behavioral economist Dan Ariely explains what that should mean for strategists.

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  • How Boards Can Be Better — a Manifesto

    Managers and directors alike face tough choices as they decide on the quality and quantity of information that the board receives and uses in its governance and fiduciary roles. As the fallout from recent crises such as the subprime mortgage debacle illustrates, both sides must address the problem of “information asymmetry” & #8212; the gap between the information available to management and to the board. The authors’ research suggests that tomorrow’s boardroom will be reshaped by three related forces: First, they face a thorough rethinking, brought on by concerned stakeholders, of directors’ information needs. In responding to these pressures, boards and management must overcome several impediments: caution about altering the dynamics of the present manager-director relationship; directors’ lack of needed skills for interpreting the new information; and the inertia of cultural norms. Second, they face dramatic improvements in the performance assessment approaches used to guide boards’ decision making. The core of a healthy information relationship between managers and directors is their agreement on the most useful performance metrics to track and assess. This selection enables the building of trust and an eased and more pertinent workload for the board (having been freed from the need to decode reams of data while also gaining some independence from management’s sometimes self-serving evaluations). Finally, boards and managers face the adoption of technologies that support critical board functions. Once access to such information is granted, new technologies can help directors obtain and use it. Board members may apply tools that, for example, enable improved visualizations and helpful alerts. And directors may engage in electronic “what-if” analyses, using company data as well as outside information & #8212; related, say, to competing firms & #8212; which is becoming increasingly available online.

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  • Innovating Our Way to a Meltdown

    To understand the financial crisis, view it as a systems accident.

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  • Profiles of Trust: Who to Turn To, and for What

    Although top managers must project an image of professionalism and strength, they still require networks of individuals they can trust. The development of trust depends on the degree to which the executives perceive the presence of three critical attributes & #8212; ability, benevolence and integrity & #8212; within their support networks, and on their ability to match these qualities with the type of support they are seeking in any particular situation. We model the support being sought as having high or low informational complexity and high or low emotional demand. The combinations correspond to four types of support requested: raw information (low, low), actionable advice (high, low), emotional support (low, high), and strategic or political help (high, high). Meanwhile, the three critical attributes (each with either a high or low rating) translate into eight kinds of support providers: Trustworthy Partner, Harsh Truthteller, Moral Compass, Loyal Supporter, Star Player, Average Joe, Dealmaker and Cheerleader. Executives in need of actionable advice will most often turn to Trustworthy Partners or Harsh Truthtellers, given their high levels of ability and integrity. For strategic or political help, Trustworthy Partners will be sought because of their high levels of ability, benevolence and integrity. Seekers of emotional support will look to Loyal Supporters and Trustworthy Partners because they offer high levels of benevolence and integrity. And when the three facets of trust are less critical, executives will be willing to go to virtually any of their contacts for raw information, though most often they seek out Average Joes. These and other matches were observed, useful data was gathered and valuable insights were obtained when we tested our model on vice presidents, directors, general managers and other executives at a Fortune 50 technology firm.

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