块链
业务
供应链
动态能力
经验证据
产业组织
供应链管理
过程管理
商业
运营管理
营销
计算机科学
经济
计算机安全
认识论
哲学
作者
Azz-eddine Meafa,Abla Chaouni Benabdellah,Kamar Zekhnini,Surajit Bag
出处
期刊:Benchmarking: An International Journal
[Emerald Publishing Limited]
日期:2025-02-24
标识
DOI:10.1108/bij-03-2024-0244
摘要
Purpose Under a rapidly changing and disruptive environment, the need for resilient, sustainable and survival-oriented performances is currently urgent. To deal with these challenges, the reconfigurable capabilities of blockchain technology (BT) can support supply chains (SC) to be resilient and survive during disruptions while maintaining sustainability goals. Through the lens of the dynamic capability view (DCV), this study aims to investigate the impact of adopting the dynamic capabilities of BT to achieve the resilient–sustainable–survival (RSS) paradigm under a disruptive context. Design/methodology/approach This study follows the DCV to develop theoretical hypotheses and adopts structural equation modeling to examine and analyze the impact of BT’s capabilities on the triple aspects of the RSS paradigm. It uses the partial least squares technique to evaluate the weight of the correlations among the constructs, test the dependencies of its relationships and assess the model’s power for predicting the outcome variables. Findings Based on the empirical evidence from the manufacturing and assembling SCs, this study provides insights into the interplay of the sensing, seizing and transforming capabilities of BT, and the most needed ones to fit the expectations of the RSS model. It shows that such capabilities can have a significant impact and can be a powerful tool that contributes to the enhancement of the RSS’s aspects in SC networks. Originality/value This study represents one of the initial queries to conceptualize the RSS model of the SC within a disruptive context. For researchers, it adds more understanding of the deployment of the DCV in the technology adoption area. For practitioners, it helps identify the capabilities of BT and their potential to fit the expectations for the RSS paradigm.
科研通智能强力驱动
Strongly Powered by AbleSci AI