The RM and OMT Divisions will sponsor the following event during the 2018 AOM Conference:
Why We All Should Be Bayesians: An Intro to Bayesian Studies
Symposium
Program Session: 1619
Tuesday, Aug 14 2018, 8:00AM - 9:30AM
Sheraton Grand Chicago in Streeterville
Presenter: William H. Starbuck, U. of Oregon
Presenter: Andreas Schwab, Iowa State U.
The purpose of this symposium is to introduce management researchers to the opportunities of Bayesian statistics for empirical research in the management sciences. We will outline the fundamental features of the Bayesian method without delving into the mathematical details. Instead, we will outline the conceptual differences and potential advantages of a Bayesian approach compared to traditional statistical analyses involving null-hypothesis statistical significance tests. We will then introduce an illustrative example from empirical management research that illustrates opportunities for the useful application of Bayesian data analysis and introduces participants on how to interpret the outcomes of Bayesian analyses for causal inference. Finally, we will discuss why in spite of strong arguments supporting the use of Bayesian statistics, the field of management research has been very reluctant considering Bayesian analysis as an alternative and how management scholars can support related methodological change efforts. The purpose of this symposium is to convince participants of the potential opportunities Bayesian methods can provide and to motivate organizational researchers to consider Bayesian statistics as an alternative in future research.
Mailed on behalf of the organizing team by
Andreas Schwab
Associate Professor and Dean's Fellow in Management
Ivy School of Business
Management Department
3315 Gerdin Business Building
Ames, IA 50011-1350
Phone: +62 (812) 1359 9403
Skype: andreas.schwab9
Email: aschwab@iastate.edu
Academic Profile: http://www.business.iastate.edu/faculty/?faculty=aschwab
Research Gate: https://www.researchgate.net/profile/Andreas_Schwab2/publications
Google Scholar: http://scholar.google.com/citations?user=mJbkmOMAAAAJ