Digital ecosystems and supply chain resilience in manufacturing: the mediating role of supply chain complexity in technology-driven operations

Aamir Rashid,Rizwana Rasheed
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Abstract

Purpose This study aims to examine the association between digital ecosystems and supply chain resilience in manufacturing firms, with particular attention to the statistical mediating role of supply chain complexity. It addresses the limited understanding of how digital technologies, including AI, IoT, and cybersecurity, operate collectively rather than in isolation. Design/methodology/approach Drawing on the resource-based view (RBV) and dynamic capability view (DCV), the study employs a quantitative research design using survey data from 732 managerial and supervisory respondents working in manufacturing firms in Mississippi, West Virginia, and Arkansas. Structural equation modeling (SEM) using AMOS is applied to test the proposed relationships. Findings The results indicate that digital ecosystems are positively associated with supply chain resilience, with cybersecurity exhibiting the strongest association with the Digital Ecosystem construct. Supply chain complexity shows a positive but comparatively smaller association with resilience and the statistically significant indirect relationship is consistent with partial mediation. Research limitations/implications The study is limited to manufacturing firms in selected U.S. states, which may affect generalizability. Future research could explore cross-industry and cross-country contexts and examine additional mediating or moderating mechanisms. Practical implications The findings suggest that managers should consider investing in integrated digital infrastructure, prioritizing cybersecurity capabilities and using data-driven technologies while proactively managing the complexity of digital transformation. Originality/value This study advances a systems-level understanding of digital ecosystems in supply chains by showing that integrated digital capabilities, rather than isolated technologies, are positively associated with resilience in complex operational environments.
制造业中的数字生态系统和供应链弹性:供应链复杂性在技术驱动运营中的中介作用
本研究旨在探讨制造业企业数字生态系统与供应链弹性之间的关系,特别关注供应链复杂性的统计中介作用。它解决了对包括人工智能、物联网和网络安全在内的数字技术如何集体而不是孤立运作的有限理解。根据资源基础观点(RBV)和动态能力观点(DCV),本研究采用了定量研究设计,使用了来自密西西比州、西弗吉尼亚州和阿肯色州制造企业的732名管理和监督受访者的调查数据。利用AMOS结构方程模型(SEM)对所提出的关系进行了检验。结果表明,数字生态系统与供应链弹性呈正相关,其中网络安全与数字生态系统结构的相关性最强。供应链复杂性与弹性呈正相关,但相对较小,统计上显著的间接关系与部分中介一致。研究局限/启示本研究仅限于美国选定州的制造公司,这可能会影响普遍性。未来的研究可以探索跨行业和跨国背景,并检查其他的中介或调节机制。研究结果表明,管理者应考虑投资于集成的数字基础设施,优先考虑网络安全能力,并在积极管理数字化转型复杂性的同时使用数据驱动技术。独创性/价值本研究表明,在复杂的操作环境中,集成的数字能力(而不是孤立的技术)与弹性呈正相关,从而推进了对供应链数字生态系统的系统级理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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