What Is Interesting in Operations Management?

Cachon, Gérard P.

doi:10.1287/msom.1110.0375

Cited by 35 publications

(19 citation statements)

References 24 publications

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“…Such research can lead to counter-intuitive results involving the interactions of multiple parties and can therefore be more impactful than traditional models (Cachon 2012). Different types of simulation methods, including cellular automata or multiagent modeling, also fit here although simulation results are inferred from simulation runs rather than deduced from analytical assumptions.…”

Section: Background: Different Om Research Methodsmentioning

confidence: 99%

Guiding the next generation of doctoral students in operations management

Sodhi

Tang

2014

International Journal of Production Economics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract: This paper presents ways for senior researchers to help future doctoral students in Operations Management (OM) to overcome multiple challenges in: (a) conducting relevant research while demonstrating greater rigor, and (b) exploring multi-disciplinary research projects while mastering a single research method. PermanentRecognizing that knowledge is generally created in four broad stages ((I) awareness, (II) framing, (III) modeling and (IV) validation), we first argue that different research approaches (analytical, behavioral, case study, or empirical) serve different roles in each of these stages: (1) case study approach for awareness, (2) empirical methods for framing, (3) analytical modeling for modeling and analysis, and (4) behavioral for validation in the real world. Then we discuss ways to enable doctoral students to overcome the aforementioned challenges.

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Section: Background: Different Om Research Methodsmentioning

confidence: 99%

Guiding the next generation of doctoral students in operations management

Sodhi

Tang

2014

International Journal of Production Economics

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“…There is value in extending this baseline result into the operational decision setting, given that operational decision makers might be expected to allocate more attention than consumers to a decision and also have significant reputational costs to a decision. As a result, not only replicating this prior result but also documenting its effect size (Cachon 2012) is valuable in better understanding this process. Our result lends baseline support to standard operations management models that assume that individuals dynamically receive new information and then update their beliefs and make new decisions.…”

Section: Discussionmentioning

confidence: 71%

“…This finding extends what is known in consumer choice to a new domain. Moreover, there is value in documenting the effect size (Cachon 2012) as our field setting and exogenous shock permit us to estimate precisely the relationship between negative news and subsequent choice. Second, we find that individual experience plays a large role in predicting how individuals update their beliefs in response to negative news.…”

Section: Experience Of Others Affect An Individual's Response To Negamentioning

confidence: 99%

Blinded by Experience: Prior Experience, Negative News and Belief Updating

Staats

Gino³

2015

SSRN Journal

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Traditional models of operations management involve dynamic decision-making assuming optimal (Bayesian) updating. However, behavioral theory suggests that individuals exhibit bias in their beliefs and decisions. We conduct both a field study and two laboratory studies to examine the phenomena in the context of health. In particular, we examine how an individual's prior experiences and the experiences of those around them alter the operational decisions that the individual makes. We draw on an exogenous announcement of negative news by the Food and Drug Administration (FDA) and explore how this affects an operational decision -production tool choice -of interventional cardiologists deciding between two types of cardiac stents. Analyzing 147,000 choices over 6 years, we find that individuals do respond to negative news by using the focal production tool less often. However, we find that both individual's own experience and others' experience alter their responses in predictable ways. Moreover, although individual and other experience act as substitutes prior to negative news, the two types of experience act as complements following the negative announcement -leading to even greater use of the same production tool. Two controlled lab studies replicate our main findings and show that behavioral biases, not rational expectations, drive the effect. Our research contributes not only to operations management research, but also to the practice of healthcare and operations more generally.

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“…Also, for recent discussions about different OM research methods, the reader is referred to an excellent series of Handbooks in Operations Research and Management Science published by Elsevier for various operations research/ management science (OR/MS) analytical methods (discrete optimization, stochastic programming, etc. ), Fisher (2007) for empirical methods, Cachon (2012) and Van Mieghem (2013) for interesting and relevant OM research, and Van Wassenhove and Besiou (2013) for the use of system dynamics as a tool for analyzing complex problems with multiple stakeholders.…”

Section: Introductionmentioning

confidence: 99%