Bayesian Analysis in Strategic Management Research: Time to Update Your Priors
Date
2023-05-14
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Schwab, Andreas
Associate Professor
Research Projects
Organizational Units
Organizational Unit
Management and Entrepreneurship
The Department of Management and Entrepreneurship seeks to provide students with the knowledge of organizations and management functions within organizations. Graduates will be able to understand work-related behavior, competitive strategy and advantage, strategies of international business, and human-resource management practices.
History
The Department of Management was formed in 1984 in the College of Business Administration (later College of Business).
Dates of Existence
1984 - present
Related Units
- College of Business (parent college)
Journal Issue
Is Version Of
Versions
Series
Department
Management and Entrepreneurship
Abstract
Bayesian statistical methods offer an important and increasingly endorsed alternative to traditional statistical significance testing. This paper presents a brief introduction to Bayesian methods, providing guidance to strategic management researchers who may wish to incorporate these methods into their research. We describe the advantages of Bayesian approaches and explain the steps involved in conducting and reporting a Bayesian analysis. For illustration, we provide a sample analysis, including all associated code using version 15 of Stata, which features significantly augmented Bayesian capabilities.
Comments
Description
This accepted article is published as Brian T. McCann and Andreas Schwab (2023), "Bayesian Analysis in Strategic Management Research: Time to Update Your Priors", Strategic Management Review: Vol. 4: No. 1, pp 75-106. http://dx.doi.org/10.1561/111.00000053. Posted with permission