Exponential random graph models for management research: A case study of executive recruitment

Mary-Paz Arrieta-Paredes and Bruce Cronin
Authors registered in the RePEc Author Service: Mary Paz Arrieta Paredes

European Management Journal, 2017, vol. 35, issue 3, 373-382

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 account for the highly interdependent nature of network data that are 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.

Keywords: Executive recruitment; Industry origin; Managerial performance; Shareholder value; Social network analysis; Exponential random graph models (search for similar items in EconPapers)
JEL-codes: G32 J24 L25 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eurman:v:35:y:2017:i:3:p:373-382

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DOI: 10.1016/j.emj.2016.08.002

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