Twin-objective supply chain collaboration to cope with rare but high impact disruptions whilst improving performance

Quan Zhu, Harold Krikke, Marjolein C. J. Caniels, Yacan Wang*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Web of Science)


Purpose - Rare but high impact (R-HI) disruptions, which are caused by legal changes, socio-technical accidents, or natural disasters, are becoming more frequent and have strong short-term and long-term impacts on performance. Meanwhile, the short-term perspective of managers leads to adoption of mitigation strategies with lower investments and immediate performance improvement. The purpose of this paper is to provide insights on supply chain collaboration (SCC) to establish so-called twin-objective strategy to help both risk mitigation (through moderation effects) and performance improvement (through a direct positive impact). Moreover, power position will be considered as the control variable.

Design/methodology/approach - A cross-sectional approach was adopted with primary data collected through a survey in China. Data were analyzed using structural equation modeling with partial least squares estimations. A sub-group model analysis was applied to test the effect of the control variable.

Findings - The findings verify that SCC has both a direct positive impact on performance and moderation effects on the relationships between sources of R-HI disruptions and performance. The results of subgroup model analysis illustrate that both powerful and weak focal firms benefit from SCC, but in different ways.

Originality/value - The study shows that the allocation of gains from collaborative advantage should be added to the theory-building of relational view. Meanwhile, the research extends the focal firm's context to its supply chain's context so that classic contingency theory can be extended to adequately explain supply chain management phenomena.
Original languageEnglish
Pages (from-to)488-507
Number of pages20
JournalInternational Journal of Logistics Management
Issue number2
Publication statusPublished - 8 May 2017


  • Supply chain collaboration
  • Partial least squares
  • Moderation effect
  • Sub-group model analysis
  • Twin-objective
  • FIRM
  • VIEW
  • FIT


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