We are delighted to invite you to attend Alan R. Johnson's defense.
His Ph.D. Dissertation is entitled “A Social Influence Interpretation of Members’ Interpersonal Processes Over Time and Team Level Outcomes using Informative Hypotheses and Bayes Factors“.
The oral defense will be held Monday, November 18, 2013, 10:00am, at EMLYON Business School, Room 371 (Building A).
The Defense Committee is composed of:
- Frédéric Delmar (Principal Advisor, now at Lunds Universitet, Sweden)
- David Courpasson (Chair, EMLYON Business School)
- William D. Crano (External Examiner, Claremont Graduate University, USA)
- Michael A. West (External Examiner, Lancaster University Management School, UK).
The purpose of the study was to investigate how members’ interpersonal processes observed at the individual level determine team outcomes at the cluster level. I focus on two dimensions of interpersonal processes from previous research and theory, the extent to which members discuss and disagree about their work. I labeled the first construct dimension task debate, which is based on the information sharing literature (Stasser & Titus, 1985, 1987), and the second construct dimension task conflict, which is based on the intragroup conflict literature (Jehn & Mannix, 2001; Jehn, 1995). From minority influence theory (Moscovici, 1980, 1985a), I hypothesized that task conflict moderates (generally positive) relations between task debate and team outcomes. However, I extended De Dreu and West’s (2001) contingent model in two ways. Firstly, I propose that the moderated effects have alternate directions in early, middle, and late episodes of specific projects. Secondly, I generalize the moderated relations to several important outcome variables from the team effectiveness literature (Mathieu, Maynard, Rapp, & Gilson, 2008); performance measured at the cluster level, satisfaction measured at the individual level, and creativity measured at both levels. Specifically, in early episodes, task conflict is a positive moderator; in middle episodes, it is negative; and in late episodes, it is positive again. I explore my thesis using a sample of 60 student teams (360 individuals) working together for 5 months (21 weeks) to write a first business plan for a new venture. I used self-reported data collected from members on weeks 1, 9, and 17 about their interpersonal processes and used data from archival, observer-rated, and self-reported sources on outcomes in week 21. I used Bayesian estimation for my multilevel structural equation modeling (MSEM) approach (B. O. Muthén & Asparouhov, 2011); (a) to indicator measurement error, (b) to individual selection error, and (c) to missing data on the predictor variables. Finally, a Bayes factor analysis of my informative hypothesis revealed moderately convincing support from the data for my model, where no such support was forthcoming from traditional graphing and post hoc probing of the moderated relations.