Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/139792


Title: Supply-and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds
Authors: 陳立民
Chen, Li-Ming
Chang, Wei-Lun
Contributors: 企管系
Keywords: Supply chain;Cloud computing;Disruption;Recovery;Cellular automata simulation
Date: 2021-07
Issue Date: 2022-04-11 13:46:01 (UTC+8)
Abstract: This study investigated the speeds (i.e., radical, incremental, relaxed benchmarking, rigorous benchmarking, matching, and market-driven) of firms’ recovery from supply- and cyber-related disruptions in cloud supply chains (SCs). Supply-related disruptions downgrade the firm’s operational capabilities (e.g., production capacity and labor supply), and cyber-related disruptions reduce its intangible capabilities (e.g., reputation, brand image, and public trust). This study introduced a cellular automata (CA) simulation model to determine the best recovery speeds following the loss of operational and intangible capabilities. Furthermore, to investigate the impact of cloud adoption on an SC firm’s best speeds of recovery from supply-related disruptions, we compared firms that had adopted the cloud with those using the on-site data centers.
Relation: Transportation Research Part E: Logistics and Transportation Review, Vol.151, pp.102347
Data Type: article
DOI 連結: https://doi.org/10.1016/j.tre.2021.102347
Appears in Collections:[企業管理學系] 期刊論文

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