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Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise

机译:通过可行的系统视角:大数据,知识与介绍的虚拟企业的调解作用,供应链生存能力

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摘要

In the context of the survivability of a firm's supply chain during the worldwide COVID-19 crisis, there is still much to be explored. This study employs the viable system model to conceptualize the virtual enterprise, big data, and knowledge ambidexterity capability that can facilitate supply chain survivability. Empirical data have been collected from various industries in Indonesia (the largest labor force in Southeast Asia). SEM-SmartPLS and SPSS were used to validate the model. The results suggest that firms need to realize that the explorative and exploitative of knowledge have different effects and are integrated in different ways into the survivability of a supply chain. The findings also revealed two roles for mediation, whereby revolutionizing the explorative of knowledge and the analytics of big data through virtual enterprise are crucial strategies to achieves the survivability of the supply chain. A novel value added is the inclusion of a systems-environment perspective and knowledge-technology matrix, especially in times of crisis.
机译:在全球Covid-19危机期间企业供应链的生存性的背景下,仍有很大探索。本研究采用可行的系统模型来概念化,虚拟企业,大数据和知识与可促进供应链生存能力的设计能力。从印度尼西亚的各个行业(东南亚最大的劳动力)收集了经验数据。 SEM-SMARTPLS和SPSS用于验证模型。结果表明,公司需要意识到知识的探索性和剥削具有不同的效果,并以不同的方式集成到供应链的生存能力。调查结果还揭示了两个角色的调解作用,从而彻底改变了知识的探索性和通过虚拟企业的大数据的分析是实现供应链的生存性的重要策略。添加了一种新的价值是包含系统环境的透视和知识技术矩阵,特别是在危机时期。

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