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Journal of Management: February Issue Now Online!

Table of Contents February 2015; 41 (2)   

Special Issue: Bayesian Probability and Statistics in Management Research

Dear JOM Community,

We are pleased to announce the special issue on Bayesian Probability and Statistics in Management Research.  Although the past 20 years has witnessed a veritable explosion of Bayesian applications in the social and physical sciences, management research has yet to fully take part in the 'Bayesian revolution'.  However, there are many important conceptual and practical reasons for management researchers to engage with Bayesian approaches. These include enabling more precise and flexible methods for testing hypotheses, describing statistical results in a more intuitive manner than is possible with traditional statistical methods, and the availability of a large and multidisciplinary literature with applied Bayesian examples from which we can learn. 

This special issue provides JOM readers with key Bayesian concepts and applications relevant to all forms of management research. The issue is truly special for bringing together world-class experts on Bayesian analysis from outside of management (e.g., Gerd Gigerenzer, Andrew Gelman, and Maria Carla Galavotti) to contribute important perspectives that dovetail with a series of substantive contributions from management scholars. These substantive topics are rich and varied: how historical and present research and perspectives inform the adoption of Bayesian analysis in management research; Bayesian approaches to hypothesis testing and structural equation modeling; Bayesian modeling of interpersonal processes and team performance over time; Bayesian model averaging and variable selection in the context of entrepreneurship research; Bayesian models of knowledge networks and organizational change; and Bayesian methods for deriving variance estimates in generalizaiblity theory and meta-analysis. This special issue has something for everyone.

Enjoy!

Fred Oswald, Mike Zyphur, and Deborah Rupp
Special Issue Editors

Special Issue Editorial

Rendezvous Overdue: Bayes Analysis Meets Organizational Research by Michael J. Zyphur, Frederick L. Oswald, and Deborah E. Rupp

Guest Editorial

Bayesian Estimation and Inference: A User's Guide by Michael J. Zyphur and Frederick L. Oswald

Editorial Commentary

Surrogate Science: The Idol of a Universal Method for Scientific Inference by Gerd Gigerenzer and Julian N. Marewski

Articles

The Resistible Rise of Bayesian Thinking in Management: Historical Lessons From Decision Analysis by Laure Cabantous and Jean-Pascal Gond

Institutionalizing Bayesianism Within the Organizational Sciences: A Practical Guide Featuring Comments From Eminent Scholars by Rob Austin McKee and C. Chet Miller

The Prowess and Pitfalls of Bayesian Structural Equation Modeling: Important Considerations for Management Research by William R. Stromeyer, Jason W. Miller, Rajendran Sriramachandramurthy, and Richard DeMartino

An Introduction to Bayesian Hypothesis Testing for Management Research by Sandra Andraszewicz, Benjamin Scheibehenne, Jörg Rieskamp, Raoul Grasman, Josine Verhagen, and Eric-Jan Wagenmakers

Relative Effects at Work: Bayes Factors for Order Hypotheses by Johan Braeken, Joris Mulder, and Stephen Wood

Social Influence Interpretation of Interpersonal Processes and Team Performance Over Time Using Bayesian Model Selectionby Alan R. Johnson, Rens van de Schoot, Frédéric Delmar, and William D. Crano

Revisiting the Determinants of Entrepreneurship: A Bayesian Approach by K. Peren Arin, Victor Zengyu Huang, Maria Minniti, Anup Menon Nandialath, and Otto F. M. Reich

Editorial Commentary

The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research: A Bayesian Perspective by Andrew Gelman

Articles

The Operational Impact of Organizational Communities of Practice: A Bayesian Approach to Analyzing Organizational Changeby John L. Cordery, Edward Cripps, Cristina B. Gibson, Christine Soo, Bradley L. Kirkman, and John E. Mathieu

Knowledge Sharing in Organizations: A Bayesian Analysis of the Role of Reciprocity and Formal Structure by Alberto Caimo and Alessandro Lomi

Updating Generalizability Theory in Management Research: Bayesian Estimation of Variance Components by Alexander C. LoPilato, Nathan T. Carter, and Mo Wang

Improving the Meta-Analytic Assessment of Effect Size Variance With an Informed Bayesian Prior by Piers Steel, John Kammeyer-Mueller, and Ted A. Paterson

Editorial Commentary

Probability Theories and Organization Science: The Nature and Usefulness of Different Ways of Treating Uncertainty by Maria Carla Galavotti