Classical economic theory assumes that people in risk situations follow a course of action based on a rational, consistent assessment of likely outcomes. But as Zur Shapira demonstrates in Risk Taking, corporate managers consistently stray from the prescribed path into far more subjective territory. Risk Taking offers a critical assessment of the relationship between theory and action in managerial decision making. Shapira offers a definitive account of the classical conception of risky decision making, which derives behavioral prescriptions from a calculation of both the value and the likelihood of possible outcomes. He then demonstrates how theories in this vein have been historically at odds with empirical observations. Risk Taking reports the results of an extensive survey of seven hundred managers that probed their attitudes and beliefs about risk and examined how they had actually made decisions in the face of uncertainty. The picture that emerges is of a dynamic, flexible process in which each manager's personal expertise and perceptions play profound roles. Managerial strategies are continually modified to suit changing circumstances. Rather than formulating probability estimates, executives create potential scenarios based not only on the possible outcomes but also on the many arbitrary factors inherent in their own situations. As Shapira notes, risk taking propensities vary among managers, and the need to maintain control and avoid particularly dangerous results exercises a powerful influence. Shapira also examines the impact of organizational structure, long-term management objectives, and incentives on decision making. With perceptive observations of the cognitive, emotional, and organizational dimensions of corporate decision making, Risk Taking propels the study of managerial risk behavior into new directions. This volume signals the way toward improving managerial decision making by revealing the need for more inclusive choice models that augment classical theory with vital behavioral observations.
The Evolution of a New Industry traces the emergence and growth of the Israeli hi-tech sector to provide a new understanding of industry evolution. In the case of Israel, the authors reveal how the hi-tech sector built an entrepreneurial culture with a capacity to disseminate intergenerational knowledge of how to found new ventures, as well as an intricate network of support for new firms. Following the evolution of this industry from embryonic to mature, Israel Drori, Shmuel Ellis, and Zur Shapira develop a genealogical approach that relies on looking at the sector in the way that one might consider a family tree. The principles of this genealogical analysis enable them to draw attention to the dynamics of industry evolution, while relating the effects of the parent companies' initial conditions to their respective corporate genealogies and imprinting potential. The text suggests that genealogical evolution is a key mechanism for understanding the rate and extent of founding new organizations, comparable to factors such as opportunity structures, capabilities, and geographic clusters.
The Evolution of a New Industry traces the emergence and growth of the Israeli hi-tech sector to provide a new understanding of industry evolution. In the case of Israel, the authors reveal how the hi-tech sector built an entrepreneurial culture with a capacity to disseminate intergenerational knowledge of how to found new ventures, as well as an intricate network of support for new firms. Following the evolution of this industry from embryonic to mature, Israel Drori, Shmuel Ellis, and Zur Shapira develop a genealogical approach that relies on looking at the sector in the way that one might consider a family tree. The principles of this genealogical analysis enable them to draw attention to the dynamics of industry evolution, while relating the effects of the parent companies' initial conditions to their respective corporate genealogies and imprinting potential. The text suggests that genealogical evolution is a key mechanism for understanding the rate and extent of founding new organizations, comparable to factors such as opportunity structures, capabilities, and geographic clusters.
Classical economic theory assumes that people in risk situations follow a course of action based on a rational, consistent assessment of likely outcomes. But as Zur Shapira demonstrates in Risk Taking, corporate managers consistently stray from the prescribed path into far more subjective territory. Risk Taking offers a critical assessment of the relationship between theory and action in managerial decision making. Shapira offers a definitive account of the classical conception of risky decision making, which derives behavioral prescriptions from a calculation of both the value and the likelihood of possible outcomes. He then demonstrates how theories in this vein have been historically at odds with empirical observations. Risk Taking reports the results of an extensive survey of seven hundred managers that probed their attitudes and beliefs about risk and examined how they had actually made decisions in the face of uncertainty. The picture that emerges is of a dynamic, flexible process in which each manager's personal expertise and perceptions play profound roles. Managerial strategies are continually modified to suit changing circumstances. Rather than formulating probability estimates, executives create potential scenarios based not only on the possible outcomes but also on the many arbitrary factors inherent in their own situations. As Shapira notes, risk taking propensities vary among managers, and the need to maintain control and avoid particularly dangerous results exercises a powerful influence. Shapira also examines the impact of organizational structure, long-term management objectives, and incentives on decision making. With perceptive observations of the cognitive, emotional, and organizational dimensions of corporate decision making, Risk Taking propels the study of managerial risk behavior into new directions. This volume signals the way toward improving managerial decision making by revealing the need for more inclusive choice models that augment classical theory with vital behavioral observations.
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