Conference Paper


Applying network analysis to measure organizational behaviors using R software

Abstract

The amount of research investigating psychological networks has grown substantially over the last decade but to our knowledge this is the first study applying network analysis methodology to the fields of OB/HRM. As such, this study aims to provide researchers and practitioners with an easy-to-use syntax to conduct network analysis for the exploration of relationships among organizational behaviors. Unlike the mainstream techniques used in psychometrics (e.g., principal component analysis and structural equation modelling), which are constrained by the number of associations among variables or assumptions regarding  dimensionality, network analysis is able to analyze the whole set of items at once in order to find the most representative associations among them. A step-by-step guide is provided with an example showing how to test potential relationships between engagement and authentic leadership using the R package bootnet. Besides information on edge-weights and centrality measures, this paper covers a bootstrapping procedure to test their accuracy and stability when small sample sizes are used. The possibilities of applications of psychological networks to organizational behavior and HRM practices are endless and can help overcome some of the limitations of the traditional statistical techniques applied to these fields.

Attached files

Authors

Menezes, Igor
Zwiegelaar, Jeremy
Moraes, Elton
Mendy, John
Pires dos Santos, Pedro

Oxford Brookes departments

Oxford Brookes Business School

Dates

Year of publication: 2019
Date of RADAR deposit: 2020-01-27


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


Related resources

This RADAR resource is Part of European Academy of Management 2019 Conference

Details

  • Owner: Joseph Ripp
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live