Steering through the storm: Environmental uncertainty and delivery performance

Abstract

We investigate the impact of Typhoon Lekima, a source of environmental uncertainty, on delivery performance, utilizing data from RiRiShun Logistics. We apply a staggered difference-in-differences model across low-complexity and high-complexity supply chains. The analysis uncovers distinct dynamics throughout the typhoon’s forecast, active, and recovery phases. Notably, the active phase experiences less disruption in delivery performance compared to the forecast phase, owing to RiRiShun’s wait-and-see policy. This approach leads to order accumulation but subsequently enables more effective resource allocation. In the recovery phase, high-complexity supply chains demonstrate significant improvements, surpassing pre-disaster performance levels. The study further emphasizes the critical role of two response mechanisms in managing high-complexity supply chains. Increasing throughput efficiencies at destination centers and implementing transfer centers prove effective in enhancing delivery performance during both the forecast and active phases. However, the simultaneous application of these response mechanisms during the forecast phase unexpectedly reduces performance.

Publication DOI: https://doi.org/10.1002/joom.1331
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences
College of Business and Social Sciences > Aston Business School
Funding Information: UK Research and Innovation, Grant/Award Number: EP/V011855/1; National Natural Science Foundation of China, Grant/Award Numbers: 72103029, 72371055, 71971041; Major Program of National Social Science Foundation of China, Grant/Award Number: 20&ZD084; Key
Additional Information: Copyright © 2024 Association for Supply Chain Management, Inc. This is the peer reviewed version of the following article: 'Ignatius, J., Li, R., Yin, Y., & Jia, K. (2024). Steering through the storm: Environmental uncertainty and delivery performance. Journal of Operations Management,' which has been published in final form at https://doi.org/10.1002/joom.1331.  This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archived Versions.
Uncontrolled Keywords: contingency planning,delivery performance,environmental uncertainty,response mechanisms,supply chain complexity
Publication ISSN: 1873-1317
Last Modified: 12 Nov 2024 08:18
Date Deposited: 20 Sep 2024 11:27
Full Text Link:
Related URLs: https://onlinel ... .1002/joom.1331 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-09-17
Published Online Date: 2024-09-17
Accepted Date: 2024-07-29
Authors: Ignatius, Joshua (ORCID Profile 0000-0003-2546-4576)
Li, Rui
Yin, Yunqiang
Jia, Kunze

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 17 September 2026.

License: Creative Commons Attribution Non-commercial No Derivatives


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