Conference Theme Track - Innovative Research Informing Practice
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Paper Type
Complete
Paper Number
1378
Description
The retailing industry witnessed a significant shift from conventional retailing to online marketplaces, inducing many challenges on the common practices of supply chain. Supply chains are normally subject to a wide range of disruptions, that are caused by certain events. Still, few organizations are relying on appropriate data streams and required technologies to detect and report on potential disruptions in supply chain. As a result, current supply chains remain marginally adaptive and lack the ability to react to the dynamic nature of markets on strategic as well as operative levels, which leads to loss of optimization potential. Therefore, in this study, we investigate data sources that might be beneficial to develop adaptive supply chain management (A-SCM) practices. This paper presents a holistic view of A-SCM that includes a thorough analysis of the problem domain and nature, often used data sources, employed solution techniques and finally the adopted objective function.
Recommended Citation
Haertel, Christian; Nahhas, Abdulrahman; Daase, Christian; Volk, Matthias; and Turowski, Klaus, "A Holistic View of Adaptive Supply Chain in Retailing Industry" (2022). AMCIS 2022 Proceedings. 7.
https://aisel.aisnet.org/amcis2022/conf_theme/conf_theme/7
A Holistic View of Adaptive Supply Chain in Retailing Industry
The retailing industry witnessed a significant shift from conventional retailing to online marketplaces, inducing many challenges on the common practices of supply chain. Supply chains are normally subject to a wide range of disruptions, that are caused by certain events. Still, few organizations are relying on appropriate data streams and required technologies to detect and report on potential disruptions in supply chain. As a result, current supply chains remain marginally adaptive and lack the ability to react to the dynamic nature of markets on strategic as well as operative levels, which leads to loss of optimization potential. Therefore, in this study, we investigate data sources that might be beneficial to develop adaptive supply chain management (A-SCM) practices. This paper presents a holistic view of A-SCM that includes a thorough analysis of the problem domain and nature, often used data sources, employed solution techniques and finally the adopted objective function.
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Res Infor Practice