Arrieta-Paredes, Mary-Paz ORCID: https://orcid.org/0000-0001-5632-394X and Cronin, Bruce ORCID: https://orcid.org/0000-0002-3776-8924 (2016) Exponential random graph models for management research: a case study of executive recruitment. European Management Journal, 35 (3). pp. 373-382. ISSN 0263-2373 (doi:10.1016/j.emj.2016.08.002)

Preview	PDF (Author Accepted Manuscript) 15698 CRONIN_Exponential_Random_Graph_Models_2016.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (583kB) | Preview
	PDF (Email of Acceptance) 15698 CRONIN Acceptance_Email_2016.pdf - Additional Metadata Restricted to Repository staff only Download (186kB) | Request a copy

Abstract

We introduce a recent development in the statistical analysis of relational data that offers rigorous discrimination of a variety of structural and behavioural effects of interest to management research. Exponential Random Graph Models (ERGMs) account for the highly interdependent nature of network data that is problematic for the predominant inferential statistical analysis used in management research. We illustrate the value of the approach with an application focused on executive recruitment by large UK firms, modelling migrations of managers among firms as a network of relationships. We find rigorous statistical support for the influences of industry origin in executive recruitment, particularly in relation to legal and accounting activities. The flexibility and sophisticated relational variables available in the models offer considerable analytical power of value to a wide range of management applications.

Item Type:	Article
Additional Information:	© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords:	Executive recruitment, industry origin, managerial performance, shareholder value, social network analysis, exponential random graph models.
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HG Finance H Social Sciences > HM Sociology
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of International Business & Economics Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Last Modified:	28 Sep 2023 20:38
URI:	http://gala.gre.ac.uk/id/eprint/15698

Actions (login required)

View Item

Downloads