Donald D. Bergh is the Louis D. Beaumont Chair of Business Administration and Professor of Management at the Daniels College of Business of the University of Denver. He previously served on the faculties of Purdue, Cornell and Penn State, where he was a long-time member.
His research interests lie primarily in corporate strategy and research methodology where his work has appeared the Academy of Management Journal, the Strategic Management Journal, Organization Science, Journal of Management, Organizational Research Methods, the Journal of Management Studies, and the Academy of Management Learning and Education.
He has served as an Associate Editor (AMJ, 2002-2004; ORM, 2008-2010, and JMS, 2011-2014), as a member of the editorial review boards of AMJ, SMJ, AMR, ORM and JMS, and along with David Ketchen, Jr., and co-edited the Emerald series, Research Methodology in Strategy and Management, volumes 1 through 10.) He has served the Academy of Management as a member of its inaugural Ethics Education Committee, the Newman Award Committee (Best Dissertation Competition), the Business Policy and Strategy Division’s Awards Committee, the Strategic Management Society as the inaugural Program Chair of the Corporate Strategy Interest Group, Chair of the Research Methods Community, and as Co-Chair of the 35th Annual International Conference of the Strategic Management Society. Currently, Don is the inaugural Chair of the Scientific Integrity and Rigor Task Force of the Journal of Management, the first of its kind in the management field.
Recently, the Southern Management Association reported that Don is the 2nd most prolific author (on an authorship-weighted basis) in the Journal of Management during its first 40 years.
Reproducibility is obtaining the same results when re-analyzing the same data. It can be used to confirm the findings reported in a focal study and serve as a preliminary step in the replication process. This presentation will discuss why reproducibility has become an important part of the research process, describe how to test it, report on findings from applying those tests to published work, relate their relevance to replication, and offer recommendations for the publication process.