Understanding the decision to offshore human resource activities: a coevolutionary perspective Articles uri icon

publication date

  • March 2017

start page

  • 175

end page

  • 197

issue

  • 2/3

volume

  • 47

International Standard Serial Number (ISSN)

  • 0960-0035

Electronic International Standard Serial Number (EISSN)

  • 1758-664X

abstract

  • Purpose - Offshoring has been studied widely in the literature on strategic management and international business. However, apart from its consideration as an administrative activity, scant attention has been paid to the offshoring of the human resource (HR) function. Research in this regard has instead focussed on outsourcing (Reichel and Lazarova, 2013). The purpose of this paper is to achieve a better understanding of companies' decisions to offshore HR activities. It adapts the outsourcing model of Baron and Kreps (1999) by including the HR offshoring phenomenon and a dynamic perspective. Design/methodology/approach - While the analysis is mostly conceptual, the authors ground the author's arguments in offshoring data from the Offshoring Research Network, to explore whether the drivers for offshoring HR differ from the drivers for offshoring other administrative activities. The idiosyncrasy of the HR function is supported by the authors' exploratory analysis and also by the descriptive case of a multinational and its experience with offshoring. Findings - A coevolutionary model is proposed for understanding the behaviour of companies offshoring their HR activities. This study contends that companies should address their decision to offshore HR activities from a dynamic perspective, being aware of three processes that are in constant change: the evolution of the HR function, the evolution of service providers, and the evolution of offshoring decisions. Originality/value - This study seeks to make a threefold contribution to the international business, strategy, and HR management disciplines.

subjects

  • Business
  • Economics

keywords

  • outsourcing; human resources; offshoring; drivers; administrative activities; coevolutionary model