{"title":"在风暴中掌舵:环境不确定性与交付绩效","authors":"Joshua Ignatius, Rui Li, Yunqiang Yin, Kunze Jia","doi":"10.1002/joom.1331","DOIUrl":null,"url":null,"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.","PeriodicalId":51097,"journal":{"name":"Journal of Operations Management","volume":"209 1","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Steering through the storm: Environmental uncertainty and delivery performance\",\"authors\":\"Joshua Ignatius, Rui Li, Yunqiang Yin, Kunze Jia\",\"doi\":\"10.1002/joom.1331\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":51097,\"journal\":{\"name\":\"Journal of Operations Management\",\"volume\":\"209 1\",\"pages\":\"\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Operations Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1002/joom.1331\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Operations Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1002/joom.1331","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Steering through the storm: Environmental uncertainty and delivery performance
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.
期刊介绍:
The Journal of Operations Management (JOM) is a leading academic publication dedicated to advancing the field of operations management (OM) through rigorous and original research. The journal's primary audience is the academic community, although it also values contributions that attract the interest of practitioners. However, it does not publish articles that are primarily aimed at practitioners, as academic relevance is a fundamental requirement.
JOM focuses on the management aspects of various types of operations, including manufacturing, service, and supply chain operations. The journal's scope is broad, covering both profit-oriented and non-profit organizations. The core criterion for publication is that the research question must be centered around operations management, rather than merely using operations as a context. For instance, a study on charismatic leadership in a manufacturing setting would only be within JOM's scope if it directly relates to the management of operations; the mere setting of the study is not enough.
Published papers in JOM are expected to address real-world operational questions and challenges. While not all research must be driven by practical concerns, there must be a credible link to practice that is considered from the outset of the research, not as an afterthought. Authors are cautioned against assuming that academic knowledge can be easily translated into practical applications without proper justification.
JOM's articles are abstracted and indexed by several prestigious databases and services, including Engineering Information, Inc.; Executive Sciences Institute; INSPEC; International Abstracts in Operations Research; Cambridge Scientific Abstracts; SciSearch/Science Citation Index; CompuMath Citation Index; Current Contents/Engineering, Computing & Technology; Information Access Company; and Social Sciences Citation Index. This ensures that the journal's research is widely accessible and recognized within the academic and professional communities.