Network analysis for OB/HRM in R software

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

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.

Citation

Menezes, I., Zwiegelaar, J., Moraes, E., Mendy, J., & Pires dos Santos, P. P. (2019, June). Network analysis for OB/HRM in R software. Presented at EURAM 2019: Exploring the future of management, Lisbon, Portugal

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: EURAM 2019: Exploring the future of management
• Start Date: Jun 26, 2019
• End Date: Jul 28, 2019
• Acceptance Date: Mar 20, 2019
• Publication Date: Jun 25, 2019
• Deposit Date: Jun 24, 2019
• Keywords: Psychological networks; Organizational behavior; Human resource management practices; R software; Bootnet package
• Public URL: https://hull-repository.worktribe.com/output/2034517
• Related Public URLs: http://www.euram-online.org/annual-conference-2019.html