Managing Social Responsibility in Multitier Supply Chains

Author:

Huang Lu1,Song Jing-Sheng2ORCID,Swinney Robert2ORCID

Affiliation:

1. Unaffiliated, Sunnyvale, California 92087;

2. Fuqua School of Business, Duke University, Durham, North Carolina 27708

Abstract

Problem definition: We study the management of social responsibility in a three-tier supply chain with a tier 2 supplier selling to a tier 1 supplier, in turn selling to a tier 0 buyer. The tier 2 supplier may violate social and environmental standards, resulting in harm to all firms in the supply chain; we analyze the equilibrium allocation of costly effort by each firm to improve responsibility in tier 2. We also examine how pressure from external stakeholders (consumers, nongovernmental organizations, and governments) influences the optimal level of responsibility. Academic/practical relevance: Recently, there have been numerous serious responsibility violations in tiers 2+ of multinational supply chains, leading to significant negative consequences for firms and society; understanding how best to manage such violations is of practical importance to multiple stakeholders. Methodology: We employ a game theoretic model wherein each firm in the supply chain optimizes its responsibility efforts to maximize its own profit and study the implications of this decentralized optimization for the overall supply chain. Results: Under the conditions of our model, the buyer’s optimal strategy is one of extremes, consisting of direct control (only tier 0 works with tier 2), delegation (only tier 1 works with tier 2), or no effort (neither firm works with tier 2); we determine when each is optimal and discuss key drivers of the optimality of these extreme strategies. We further find that increasing some types of external pressure can backfire, leading to a lower level of responsibility. Managerial implications: For firms using multitier supply chains, we show how to manage risk by choosing between different responsibility management strategies. For external stakeholders seeking to encourage responsibility, we provide insights on how to achieve this while avoiding “backfiring.” For researchers, we provide a modeling framework to study responsibility and risk management problems in multitier supply chains. History: This paper has been accepted for the Manufacturing & Service Operations Management Special Section on Responsible Research in Operations Management. Supplemental Material: The online supplement is available at https://doi.org/10.1287/msom.2021.1063 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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