Building supply chain resilience through ambidexterity: an information processing perspective

Ying Wang, Fangxu Yan, Fu Jia*, Lujie Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

This paper makes an initial attempt to develop a theory of supply chain resilience through ambidexterity in the context of the COVID-19 pandemic. We conducted a single-case analysis focusing on Zong-Teng Group, one of the biggest cross-border e-commerce enterprises in China, as our sample. Data were mainly collected from interviews with Zong-Teng managers and public online resources. Through case analysis, this paper identifies that a fit between the information processing requirements of a firm and its information processing capability leads to greater ambidexterity for exploitation and exploration, which in turn improves supply chain resilience (SCR) in the form of agility, redundancy and flexibility. In addition, ambidexterity in terms of morality improves SCR culture. This paper may be the first to adopt information processing theory to examine SCR and consider the role of ambidexterity, noting that crises such as COVID-19 impose an exponential increase in information processing requirements, to which many firms fail to respond effectively.

Original languageEnglish
Pages (from-to)172-189
Number of pages18
JournalInternational Journal of Logistics Research and Applications
Volume26
Issue number2
DOIs
Publication statusPublished - 2023

Keywords

  • CSR-oriented culture
  • Supply chain resilience
  • ambidexterity
  • information processing theory

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