John R. Hollenbeck is University Distinguished Professor at Michigan State University and Eli Broad University Professor of Business at the Eli Broad College of Business. His research focuses on team decision-making, self-regulation theories of work motivation, and employee separation and acquisition processes.
Hollenbeck received his PhD in management from New York University in 1984. He has been awarded the MBA Most Outstanding Faculty Member; the Withrow Endowed Teacher-Scholar Award; the Quality of Excellence Award; the MBA Core Faculty Member of the Year; and the Distinguished Faculty and Teacher-Scholar Awards from MSU.
Hollenbeck has published over 90 articles and book chapters. According to the Institute for Scientific Information, his work has been cited over 4,500 times by other researchers. He has been awarded over $7 million in external research funding, most of which was granted by the US Department of Defense and the National Science Foundation.
Hollenbeck served as the acting editor at Organizational Behavior and Human Decision Processes, the associate editor of Decision Sciences, and the editor of Personnel Psychology. He was awarded fellowship status by the Academy of Management and the American Psychological Association; the Career Achievement Award by the HR Division of the Academy of Management; the Early Career Award, and Distinguished Service Contributions Award of the Society of Industrial and Organizational Psychology.
Industry Expertise (4)
Professional Training and Coaching
Areas of Expertise (6)
Self-Regulation Theories of Work Motivation
Team Decision Making and Performance
Employee Seperation and Acquisition Process
Human Decision Processes
Mentorship Award (professional)
Academy of Management, OB Division
Distinguished Career Service Contributions Award (professional)
Thomas A. Mahoney Mentoring Award (professional)
Academy of Management, HR Division
Career Achievement Award (professional)
Academy of Management, HR Division
Distinguished Professor Designation (professional)
Michigan State University
New York University: PhD, Management 1984
St. Bonaventure University: BA, Psychology 1980
John Hollenbeck Discussing MSU’s Institute Of Business Research
Michigan Business Network online
Interview with John R. Hollenbeck
Journal Articles (5)
Lee, S.M., Hollenbeck, Koopman, J.R., Hollenbeck, J.R., Wang. L., and Lanaj, K.
The literature on teams is filled with many alternative team type taxonomies, and the persistence of so many conflicting taxonomies serves as evidence for the lack of consensus in the field about how to describe and differentiate teams in any standardized way. This paper presents the Team Descriptive Index (TDI) as an approach for rigorous team description based upon the Three-Dimensional Team Scaling Model (3DTSM) developed by Hollenbeck, Beersma, and Schouten (Academy of Management Review, 37, 92–106). The use of a continuous scaling approach to team description eliminates the need for researchers to force the teams they study into discrete categorical types that, more often than not, fail accurately to capture their nature in a precise way. We report the results of five different studies that provide construct validation evidence for a set of standardized measures for the 3DTSM with diverse samples that reflect the wide variety of contexts in which teams are studied.
Koopman, J., Howe, M., Hollenbeck, J.R., and Sin, H.P.
Bootstrapping is an analytical tool commonly used in psychology to test the statistical significance of the indirect effect in mediation models. Bootstrapping proponents have particularly advocated for its use for samples of 20-80 cases. This advocacy has been heeded, especially in the Journal of Applied Psychology, as researchers are increasingly utilizing bootstrapping to test mediation with samples in this range. We discuss reasons to be concerned with this escalation, and in a simulation study focused specifically on this range of sample sizes, we demonstrate not only that bootstrapping has insufficient statistical power to provide a rigorous hypothesis test in most conditions but also that bootstrapping has a tendency to exhibit an inflated Type I error rate. We then extend our simulations to investigate an alternative empirical resampling method as well as a Bayesian approach and demonstrate that they exhibit comparable statistical power to bootstrapping in small samples without the associated inflated Type I error. Implications for researchers testing mediation hypotheses in small samples are presented. For researchers wishing to use these methods in their own research, we have provided R syntax in the online supplemental materials.
Klodiana Lanaj and John R. Hollenbeck
We examine leadership over-emergence, defined as instances when the level of one’s leadership emergence is higher than the level of one’s leadership effectiveness, in a sample of intact self-managing teams who worked together for a period of seven months. We draw from Gender Role Theory and Expectancy Violation Theory to examine the role of gender in predicting leadership over-emergence. Building on arguments from Gender Role Theory, we find that all else equal, men over-emerge as leaders. However, Expectancy Violation Theory suggests that women are likely to benefit from a countervailing bias. Specifically, women are attributed with higher levels of leadership emergence than men when they engage in agentic leadership behaviors—even if the level of the behaviors exhibited by men is exactly the same. Because the impact of these behaviors on leadership effectiveness is not contingent on gender, however, women who engage in more task behaviors and boundary spanning behaviors in self-managing teams also over-emerge as leaders. We discuss the implications of this study for Gender Role Theory and Expectancy Violation Theory, along with practical implications for managing the problem of leadership over-emergence in work groups.
Firth, B., Hollenbeck, J.R., Ilgen, D.R., Barnes, C.M., and Miles, J.
Multiteam systems are increasingly used by organizations, but are difficult to coordinate effectively. Building from theory on representational gaps, we explain why coordination between teams in multiteam systems can be hindered by inconsistencies that exist between them regarding the definition of shared problems. We argue that frame-of-reference training, an intervention that is theorized to reduce representational gaps, can facilitate coordination and subsequent performance in multiteam systems. We studied the effects of frame-of-reference training on multiteam system coordination and performance in 249 multiteam systems comprised of specialized teams. Supporting our expectations, we found that: (a) frame-of-reference training had a positive effect on multiteam system performance by enhancing between-team coordination; (b) within-team coordination improved the relationship between frame-of-reference training and between-team coordination, ultimately improving multiteam system performance; and (c) the patterns by which within-team coordination leveraged our intervention depended on teams’ specific functions. Our findings extend representational gaps theory, highlight the interdependencies between team-level and system-level coordination, and demonstrate the utility of frame-of-reference training in a new setting.
Hollenbeck, J.R., DeRue, D.S., and Nahrgang, J.D.
Groups are increasingly conceptualized as self-regulating, adaptive social systems, where time and history play central explanatory roles. Despite this, concepts related to opponent processes, which are central to theories of self-regulation, have been absent from discussions of leadership of groups. In this paper, we introduce the opponent process theory of leadership succession, and argue that the impact of leadership on current outcomes can be fully appreciated only by complementing the understanding of the current leader’s behaviors and style with the behaviors and styles of his or her predecessor. We outline both the process and content of opponent processes highlighting their potential to explain both adaptive and maladaptive behavior in groups.