By Christoph H. Loch, Yaozhong Wu

Behavioral Operations administration introduces the knowledge of human habit to the perform of operations administration. It presents a collection of equipment and a dependent zone of analysis to research behavioral concerns in the OM paradigm.

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They further find that referencedependence models of loss-averse buyers explain the empirical observations better. In this model, a buyer facing a two-part tariff contract frames the upfront payment as a loss (a negative change from the status quo) and frames the subsequent profit as a gain. Therefore, the buyer’s preference is modeled as a function of profit from the transaction and a “perceived” loss from the upfront payment in the contract design. The equilibrium behavior is biased by the loss aversion, a prediction that is supported by the empirical data from the laboratory experiment.

This implies that we must collect further evidence on this bias. Another important element of prospect theory is the idea that people have decision weights rather than probabilities when evaluating risky choices. , overweighting small probabilities and underweighting medium probabilities. Such a nonlinear transformation of probabilities is not unique to prospect theory; there are analogous extensions of expected utility theory. For example, in the context of subjectively weighted utility (SWU), Karmarkar developed a descriptive model of transforming probabilities into subjective weights with a specific functional form, in a way that is consistent with prospect theory [116, 117].

They are biologically determined processes. (. ) The considerable amount of individual variation and the fact that culture plays a role in shaping some inducers does not deny the fundamental stereotypicity, automaticity, and 47 48 Social Preferences regulatory purpose of the emotions” ([57, p. 51]; a consistent definition can be found in [195]). In other words, emotions regulate our behavior as a system that operates in parallel to our conscious rational intelligence. Cosmides and Tooby [52] see emotions as domain-specific programs that have evolved over the course of evolution to solve specific problems posed by the environment.

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