Professor Andrew Parker andrew.parker@durham.ac.uk
Professor
Autologistic Actor Attribute Models (ALAAMs) provide new analytical opportunities to advance research on how individual attitudes, cognitions, behaviors, and outcomes diffuse through networks of social relations in which individuals in organizations are embedded. ALAAMs add to available statistical models of social contagion the possibility of formulating and testing competing hypotheses about the specific mechanisms that shape patterns of adoption/diffusion. The main objective of this paper is to provide an introduction and a guide to the specification, estimation, interpretation and evaluation of ALAAMs. Using original data, we demonstrate the value of ALAAMs in an analysis of academic performance and social networks in a class of graduate management students. We find evidence that both high and low performance are contagious, i.e., diffuse through social contact. However, the contagion mechanisms that contribute to the diffusion of high performance and low performance differ subtly and systematically. Our results help us identify new questions that ALAAMs allow us to ask, new answers they may be able to provide, and the constraints that need to be relaxed to facilitate their more general adoption in organizational research.
Parker, A., Pallotti, F., & Lomi, A. (2022). New network models for the analysis of social contagion in organizations: An introduction to Auto-logistic Actor Attribute Models. Organizational Research Methods, 25(3), 513-540. https://doi.org/10.1177/1094428121100
Journal Article Type | Article |
---|---|
Publication Date | 2022-07 |
Deposit Date | Sep 21, 2021 |
Publicly Available Date | Oct 21, 2021 |
Journal | Organizational Research Methods |
Print ISSN | 1094-4281 |
Electronic ISSN | 1552-7425 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 25 |
Issue | 3 |
Pages | 513-540 |
DOI | https://doi.org/10.1177/1094428121100 |
Public URL | https://durham-repository.worktribe.com/output/1235448 |
Published Journal Article
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This contribution has been accepted for publication in Organizational Research Methods.
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