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.

Authors

Institutions

Publication Details

Journal
Journal of Operations Management
Published
2024-09-17
DOI
https://doi.org/10.1002/joom.1331
Citations
5
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
2.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Steering through the storm: Environmental uncertainty and delivery performance

Joshua Ignatius, Yunqiang Yin, Rui Li, Kunze Jia
5 citations
Journal of Operations Management
Supply Chain and Inventory Management
2.64
article

Steering through the storm: Environmental uncertainty and delivery performance

Joshua Ignatius, Yunqiang Yin, Rui Li, Kunze Jia
article en
5 citations

Abstract

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.

Journal of Operations ManagementVol. 70(8)
University of Electronic Science and Technology of China (CN), Aston University (GB)
UK Research and Innovation, National Natural Science Foundation of China
Openalex Percentile: Top 8%
Supply Chain and Inventory Management
2.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.