Proposing a conceptual model of the sustainable digital supply chain in manufacturing companies: a qualitative approach

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Mahdieh Ahmad Amouei, C. Valmohammadi, Kiamars Fathi
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Abstract

PurposeIn the digital age, emerging technologies have affected every industry. Information and communications technology and digital technologies have transformed traditional supply chains into smart and more resilient ones, enabling effective management of challenges. Given the importance of the two topics, namely sustainable supply chain management and Industry 4.0 in supply chain management, on the one hand, and the dearth of theoretical research performed in this area on the other, this study aims to propose a conceptual model on a sustainable digital supply chain management in manufacturing companies.Design/methodology/approachThis study utilized a qualitative approach. First, an in-depth review of the relevant literature was done. Then, following a multi-grounded theory methodology, relevant data were gathered by reviewing 92 papers and conducting nine semi-structured interviews with industry experts. These data were analyzed using the MAXQDA software.FindingsA total of 41 concepts, ten sub-components and three main components (dimensions) were extracted, and the proposed conceptual model was presented. Finally, based on this conceptual model, three propositions were suggested.Research limitations/implicationsConsidering that the present study was performed in the context of Iranian manufacturing companies, caution should be exercised in relation to the generalizability of the obtained results. Also, due to the problems in the digital technology infrastructure and the limited use of these technologies by manufacturing companies (emphasized by the interviewees), this study focused on the theoretical dimension of using digital technologies by these companies.Practical implicationsThe proposed comprehensive model can help academicians as well as practitioners to focus better and explore the variables and constructs of the model, paving the way toward successful implementation of digital technologies in the manufacturing supply chain.Originality/valueTo the best knowledge of the authors, this study is among the first of its kind which presents a holistic and comprehensive digital supply chain model aimed at guiding companies to consider sustainability from all the main dimensions and their relevant indicators.
提出制造企业可持续数字供应链的概念模型:定性方法
在数字时代,新兴技术影响着每一个行业。信息通信技术和数字技术使传统供应链变得更智能、更有弹性,从而能够有效地应对挑战。鉴于可持续供应链管理和工业4.0这两个主题在供应链管理中的重要性,以及该领域理论研究的缺乏,本研究旨在提出制造业企业可持续数字化供应链管理的概念模型。设计/方法/方法本研究采用定性方法。首先,对相关文献进行了深入的综述。然后,采用多基础理论方法,通过查阅92篇论文和对行业专家进行9次半结构化访谈,收集相关数据。使用MAXQDA软件对这些数据进行分析。共提取了41个概念,10个子成分和3个主成分(维度),并提出了概念模型。最后,在此概念模型的基础上,提出了三个命题。研究局限性/意义考虑到本研究是在伊朗制造公司的背景下进行的,应谨慎对待所获得结果的普遍性。此外,由于数字技术基础设施存在问题,制造业企业对这些技术的使用有限(受访者强调),本研究侧重于这些企业使用数字技术的理论维度。实践意义所提出的综合模型可以帮助学者和从业者更好地关注和探索模型的变量和结构,为在制造业供应链中成功实施数字技术铺平道路。原创性/价值据作者所知,这项研究是同类研究中的第一个,它提出了一个整体和全面的数字供应链模型,旨在指导公司从所有主要维度及其相关指标考虑可持续性。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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