TY - JOUR
T1 - Multinational enterprise buyers’ choices for extending corporate social responsibility practices to suppliers in emerging countries
T2 - A multi-method study
AU - Tong, Xun
AU - Lai, Kee hung
AU - Zhu, Qinghua
AU - Zhao, Senlin
AU - Chen, Jianghang
AU - Cheng, T. C.E.
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/11
Y1 - 2018/11
N2 - When managing a global supply chain, one critical challenge encountered by multinational enterprises (MNEs) is the extension of corporate social responsibility (CSR) practices to suppliers in emerging countries. In this study, we use a multi-method approach to explore 1) the nature of suppliers’ CSR heterogeneity based on the various components of CSR in emerging countries, and 2) the choices of MNEs for extending CSR to different types of suppliers in dynamic environments. We begin with a survey of Chinese original equipment manufacturers (OEMs) servicing MNEs to examine how these suppliers vary in CSR implementation based on cluster analysis results. To understand the choices made by MNE buyers for extending CSR to their OEM suppliers, we conduct an agent-based simulation study considering the dynamics of a system with multiple agents (i.e., MNE buyers, OEM suppliers, and the government). The cluster analysis results show that CSR practices implemented by Chinese OEMs differ significantly from one another and can be classified into three clusters (i.e., Leader, Follower, and Laggard). The simulation results provide insights into how the adaption costs (e.g., upgrade cost and cost saved by downgrading) and punitive (inspection with possible penalties) and supportive (subsidies) tactics adopted by the government affect the choices made by MNE buyers for extending CSR practices to suppliers in emerging countries. Moreover, we demonstrate when supportive tactics are more effective than punitive tactics under varying conditions and extend the model to investigate the consequences of switching between these two types of tactics in a sequential simulation.
AB - When managing a global supply chain, one critical challenge encountered by multinational enterprises (MNEs) is the extension of corporate social responsibility (CSR) practices to suppliers in emerging countries. In this study, we use a multi-method approach to explore 1) the nature of suppliers’ CSR heterogeneity based on the various components of CSR in emerging countries, and 2) the choices of MNEs for extending CSR to different types of suppliers in dynamic environments. We begin with a survey of Chinese original equipment manufacturers (OEMs) servicing MNEs to examine how these suppliers vary in CSR implementation based on cluster analysis results. To understand the choices made by MNE buyers for extending CSR to their OEM suppliers, we conduct an agent-based simulation study considering the dynamics of a system with multiple agents (i.e., MNE buyers, OEM suppliers, and the government). The cluster analysis results show that CSR practices implemented by Chinese OEMs differ significantly from one another and can be classified into three clusters (i.e., Leader, Follower, and Laggard). The simulation results provide insights into how the adaption costs (e.g., upgrade cost and cost saved by downgrading) and punitive (inspection with possible penalties) and supportive (subsidies) tactics adopted by the government affect the choices made by MNE buyers for extending CSR practices to suppliers in emerging countries. Moreover, we demonstrate when supportive tactics are more effective than punitive tactics under varying conditions and extend the model to investigate the consequences of switching between these two types of tactics in a sequential simulation.
KW - Emerging country
KW - Empirical analysis
KW - Extending corporate social responsibility
KW - Multi-agent simulation
KW - Multinational enterprise buyer
KW - Original equipment manufacturer supplier
UR - http://www.scopus.com/inward/record.url?scp=85047303417&partnerID=8YFLogxK
U2 - 10.1016/j.jom.2018.05.003
DO - 10.1016/j.jom.2018.05.003
M3 - Article
AN - SCOPUS:85047303417
SN - 0272-6963
VL - 63
SP - 25
EP - 43
JO - Journal of Operations Management
JF - Journal of Operations Management
ER -