Category Archives: Annual Meeting

Congrats to 2017 Research Methods Division Award Winners

The Research Methods Division presented awards at the 2017 Academy of Management Annual Meeting, held in Atlanta, GA. You can also click here to find a full list of Research Methods Division Award Winners.

Sage Publications/RMD Distinguished Career Award
Chester Arthur Schriesheim, University of Miami

Sage Publications/RMD/CARMA/Lawrence R. James Early Career Award
George C. Banks, University of North Carolina at Charlotte

 

Sage Publications/Robert McDonald Advancement of Organizational Research Methodology Award
“Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology”
Published in Organizational Research Methods (2012);16, 15-31.
Dennis A. Gioia, Penn State University
Kevin G. Corley, Arizona State University
Aimee L. Hamilton, University of Denver

SAGE/RMD Best Division Paper Award
“Insufficient Effort Responding as a Meaningful Construct and Partial Function of Latent Aggression”
Justin A. DeSimone, University of Alabama
Kristl Davison, University of Memphis
Jeremy Lee Schoen, University of Mississippi
Mark N. Bing, University of Mississippi

SAGE/RMD Best Division Student Paper Award
“When ANOVA Gets It Wrong: A Re-Introduction of the Regression Discontinuity Design”
Nicolas Bastardoz, University of Lausanne

AOM 2016 RM Division Award-Winning Papers

Congratulations to the following award-winning papers for the 2016 Academy of Management Annual Conference.

Sage/RMD Best Division Paper Award Winner

Dichotomizing Network Data Can Change the Meaning of Actor Centrality, by Noah Eisenkraft (University of North Carolina, Chapel Hill)

Monday, August 8, 9:45 pm – 11:15 pm, Anaheim Convention Center, 304A 

This paper explores the consequences of calculating actor centrality-how connected actors are to the other members of a larger group-with dichotomized network data. I argue that the meaning of actor centrality may change when researchers convert valued network data into a binary network. Data from eight archival data sets suggests that centrality describes overall connectedness when the network is dichotomized at a low cut point-e.g., when even acquaintances count as ties-but transforms into a measure of cliquishness/relationship exclusivity when the network is dichotomized at a high cut point–e.g., when friends, but not acquaintances, count as ties. Researchers who dichotomize network data may unknowingly use centrality estimates that do not map onto their theoretical construct of interest. Link to this paper’s session here.

SAGE/RMD Best Division Student Paper Award Winner

A Critical Note on the Prevalent Use of the Standard Deviation as Diversity Measure, by Kim De Meulenaere (KU Leuven)

Monday, August 8, 9:45 pm – 11:15 pm, Anaheim Convention Center, 304A 

This study gives serious consideration to the prevalent use of the standard deviation (SD) to measure diversity. Whereas prior literature has argued that diversity is not a unitary construct but can be conceptualized as separation, variety, or disparity-all engendering fundamentally different effects-, so far diversity scholars have largely used one measure, SD, to operationalize each of these different types of diversity when studying continuous, and in particular ratio-scale, variables. This study carefully scrutinizes the behavior of SD and argues that it is not appropriate to measure either separation, or variety, or disparity. We introduce a framework of alternative operationalizations that align well with the different conceptualizations of diversity-i.e., the polarization index (Pol) for separation, Blau’s heterogeneity index (Blau) for variety, and the Gini index (Gini) for disparity. Using a sample of 5,892 Belgian firm observations (2008-2011) and taking the example of age diversity, we illustrate empirically the overlaps and differences between SD, Pol, Blau, and Gini, as well as their differential effects on a firm-level outcome variable: labor productivity. Link to this paper’s session here.

RMD Doctoral Consortium

With hosting by CARMA, the Research Methods Division provided an online Doctoral Consortium to contribute to the development of advanced doctoral students. A number of these sessions were recorded and have been archived by CARMA. You can access the following sessions:

PDW Materials: New unobtrusive methods

Thanks to all who participated in the PDW on “New Unobtrusive Methods” at the 2014 AOM Meeting. Here are materials from the session, which presenters have graciously shared.

Abstract for session:
An educational session focused on providing guidance to those interested in using new unobtrusive methods in their research. The session will comprise educational presentations about specific methods (i.e., email data, digital trace data, video-assisted coding, and wearable sensors); a panel discussion and commentary about general issues in using new unobtrusive methods; and, small group roundtables with presenters to address questions about specific techniques.

Materials from session
Session Intro (Andrew Knight)
Email data (Adam Kleinbaum)
Digital trace data (Brad Staats)
Computer-assisted coding of video data (Kristin Smith-Crowe)
Wearable devices (Karren Watkins)