大流行期间人工智能在供应链分析中的作用

Q1 Decision Sciences Uncertain Supply Chain Management Pub Date : 2023-01-01 DOI:10.5267/j.uscm.2023.4.005
Heba Hatamlah, Mahmoud Allan, I. Abu-AlSondos, Mr. IZUKWE Raymond, M. Allahham
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引用次数: 6

摘要

由于2019冠状病毒病疫情,全球供应网络受到破坏,薄弱连接暴露的程度是很少有人一生中见过的。由于危机的严重性,每个国家和行业都感受到了影响,在整个疫情期间发生的需求和供应的巨大变化很容易与以前危机的影响区分开来。我们研究了联盟管理和人工智能驱动的供应链分析在不断变化的外部环境下的适应性。我们使用美国汽车零部件制造业的调查数据检验了这一领域的四个假设。为了进行分析,我们使用了Smart PLS。研究发现,由人工智能驱动的供应链分析能力介导的联盟管理能力可以提高组织的运营和财务绩效。我们还发现,在环境动态作为调节因素的情况下,联盟管理能力对人工智能驱动的供应链分析能力有重大影响。基于我们的发现,我们对动态能力和组织关系观之间的相互作用有了深刻的认识。最后,我们指出了本研究的局限性,并为未来的研究提供了一些方向,这些方向可能有助于解决我们的研究结果所引起的一些担忧。
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The role of artificial intelligence in supply chain analytics during the pandemic
The global supply networks have been disrupted and weak connections exposed to an extent that few people have ever seen in their lifetime due to the COVID-19 epidemic. As a result of the severity of the crisis, every country and industry is feeling the effects, and the massive shifts in demand and supply that have happened throughout the epidemic are easily distinguishable from the effects of previous crises. We looked into the adaptability of alliance management and AI-driven supply chain analytics in the context of an ever-changing external environment. We examined four hypotheses in this area using survey data from the American auto components manufacturing industry. To do the analysis, we used Smart PLS. Alliance management capabilities, mediated by AI-powered supply chain analytics capacity, have been found to increase an organization's operational and financial performance. We also discovered, with environmental dynamics as a moderating factor, that alliance management capability has a substantial impact on AI-powered supply chain analytics capabilities. Based on our findings, we have a deep appreciation for the interplay between dynamic capacities and the relational view of organization. Finally, we pointed up the limitations of our study and offered a number of directions for future investigation that might help address some of the concerns that our results raise.
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来源期刊
Uncertain Supply Chain Management
Uncertain Supply Chain Management Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
5.60
自引率
0.00%
发文量
112
期刊介绍: Supply chain management (SCM) plays an essential role in managing the movement of raw materials into an organization, certain issues of the internal processing of materials into finished goods, and the movement of finished products out of the organization for end-consumer delivery. The goal of SCM is to improve trust and collaboration among supply chain partners and to improve inventory visibility. However, many SCM problems deal with uncertain events such as uncertainty in demand, supply, quality, price, etc. This forum is dedicated to all scholars who wish to share their ideas about uncertainty in SCM problems. Uncertain supply chain management is a quarterly publication dedicated to all scientists in all over the world who wish to share their experiences and knowledge in this field. Our policy is to perform a peer review on all submitted articles and publishes original and high quality articles.
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