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We model self-control conflict as a stochastic struggle of an agent against a visceral influence, which impels the agent to act sub-optimally. The agent holds costly pre-commitment technology to avoid the conflict altogether and may decide whether to procure pre-commitment or to confront the visceral influence. We examine naïve expectations for the strength of the visceral influence; underestimating the visceral influence may lead the agent to exaggerate the expected utility of resisting temptation, and so mistakenly forego pre-commitment. Our analysis reveals conditions under which higher willpower – and lower visceral influence – reduces welfare. We further demonstrate that lowering risk aversion could reduce welfare. The aforementioned results call into question certain policy measures aimed at helping people improve their own behavior.

With permission of Elsevier

Using a longitudinal dataset of research collaborations over 15 years at Stanford University, we build a theory of intraorganizational task relationships that distinguishes the different factors associated with the formation and persistence of network ties. We highlight six factors: shared organizational foci, shared traits and interests, tie advantages from popularity, tie reinforcement from third parties, tie strength and multiplexity, and the instrumental returns from the products of ties. Findings suggest that ties form when unfamiliar people identify desirable and matching traits in potential partners. By contrast, ties persist when familiar people reflect on the quality of their relationship and shared experiences. The former calls for shallow, short-term strategies for assessing a broad array of potential ties; the latter calls for long-term strategies and substantive assessments of a relationship’s worth so as to draw extended rewards from the association. This suggests that organizational activities geared toward sustaining persistent intraorganizational task relationships need to be different from activities aimed at forging new ones.

With permission of Sage

In diagnostic services, agents typically need to weigh the benefit of running an additional test and improving the accuracy of diagnosis against the cost of delaying the provision of services to others. Our paper analyzes how to dynamically manage this accuracy/congestion trade-off. To that end, we study an elementary congested system facing an arriving stream of customers. The diagnostic process consists of a search problem in which the service provider conducts a sequence of imperfect tests to determine the customer's type. We find that the agent should continue to perform the diagnosis as long as her current belief that the customer is of a given type falls into an interval that depends on the congestion level as well as the number of performed tests thus far. This search interval should shrink as congestion intensifies and as the number of performed tests increases if additional conditions hold. Our study reveals that, contrary to diagnostic services without congestion, the base rate (i.e., the prior probability of the customer type) has an effect on the agent's search strategy. In particular, the optimal search interval shrinks when customer types are more ambiguous a priori, i.e., as the base rate approaches the value at which the agent is indifferent between types. Finally, because of congestion effects, the agent should sometimes diagnose the customer as being of a given type, even if test results indicate otherwise. All these insights disappear in the absence of congestion.

© 2013 INFORMS
This publication was a finalist of the 2016 Service SIG Best Paper Competition.

We present results from two experiments that reveal significant gender differences in ordering behavior in the newsvendor problem. In high margin settings, males tend to order more than females, and they also tend to achieve higher profits. There are no gender differences in low margin settings. We show that the observed gender differences are partially driven by (or mediated by) gender differences in risk appetite. Males tend to prefer taking greater risk than women, and this leads them to order more in the newsvendor problem (in high margin settings). We show that the risk-ordering relationship is related to financial risk attitudes but not to social risk attitudes, and also that the effect is not driven by gender differences in affect, a likely alternative explanation for the results.

With permission of Elsevier

Technology diffusion processes are often said to have critical mass phenomena. We apply a model of demand with installed base effects to provide theoretically grounded empirical insights about critical mass. Our model allows us to rigorously identify and quantify critical mass as a function of installed base and price. Using data from the digital cellular telephony market, which is commonly assumed to have installed base effects, we apply our model and find that installed base effects were generally not strong enough to generate critical mass phenomena, except in the first cellular markets to introduce the technology.

With permission of Elsevier