When Complexity Meets Complexity: COVID-19-Induced Supply Chain Disruptions and Strategy Portfolio Efficiency

Hakan Yildiz, Tingting Yan, Marc Hatton, John Fowler, Thomas J. Kull, Lori Sisk

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Due to the COVID-19 pandemic, global supply chains have experienced sustained impacts from unprecedented complex disruptions in different combinations and at different times. From an efficiency perspective, do these complex supply chain disruptions call for more complex risk management strategies? To answer this, we built an empirically grounded discrete event simulation model, the results of which were analyzed using data envelopment analysis. Results show that with unprecedented complex disruption patterns, a multi-strategy portfolio approach is usually less efficient than a single-strategy or a do-nothing approach unless the strategy portfolio has certain characteristics. The most efficient strategy portfolios typically consist of a moderate number of diverse strategies. Too many strategies in a portfolio can be problematic, leading to increased costs that outpace improvement in revenue and service level. Results illustrate that even a strategy that generally performs poorly can be part of a very good strategy portfolio and vice versa. This study provides nuanced and novel findings that contribute to the resolution of the literature debate about the value of multi-strategy portfolios in addressing complex disruption patterns. Highlighting the value of a strategy portfolio view, these insights help firms better prepare for the next complex and sustained global supply chain disruptions.

Original languageEnglish (US)
Pages (from-to)109-129
Number of pages21
JournalJournal of Operations Management
Volume71
Issue number1
DOIs
StatePublished - Jan 2025

Keywords

  • complex disruption patterns
  • interview
  • strategy portfolio
  • surveys

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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