Frauke Hellweg, Sandra Lechtenberg, B. Hellingrath, A. M. T. Thomé
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引用次数: 8
摘要
目标:今天,随着企业探索和利用机会,数字技术对供应链产生了重大影响。数字供应链比传统供应链更有优势。成熟度模型是评估供应链数字化现状并指导企业实施的有用工具。本文的主要目的是研究现有的数字供应链成熟度模型,并提出未来研究的可能性。设计/方法/途径:进行结构化的文献综述,以确定相关的成熟度模型。根据其类型和对特定供应链功能或某些数字化维度的强调进行分析。结果:确定了28个成熟度模型。他们每个人都专注于一个特定的供应链功能或一个特定的数字技术。关注制造业(工业4.0),因此缺乏对供应链数字化其他方面的研究变得明显。此外,大多数论文缺乏对所有数字化维度的覆盖。此外,还需要对成熟度模型的质量、评价和应用进行更严格的研究。调查的局限性:所进行的综述仅限于两个数据库(Scopus和Web of Science)。两名研究人员进行了分析,这可能会导致一些偏见。此外,可以扩大分析范围并进行更深入的分析,以获得进一步的见解。实际含义:从业者可能会使用所提供的现有成熟度模型的概述来确定适合他们期望的应用程序场景的开发良好的模型。原创性/价值:本文为未来的研究提供了建议,并突出了有趣和相关的研究主题。
Literature review on maturity models for digital supply chains
Goal: Today, digital technologies have significant effects on supply chains as companies explore and exploit their opportunities. Digital supply chains promise advantages over traditional ones. A maturity model is a helpful tool to assess the current state of digitalization in supply chains and to guide companies towards implementation. The main goal of this paper is to investigate existing maturity models for digital supply chains and propose possibilities for future research. Design / Methodology / Approach: A structured literature review is conducted to identify relevant maturity models. Those are analyzed regarding their type and emphasis on a specific supply chain function or certain digitalization dimension. Results: Twenty-eight maturity models are identified. Each of them focuses on a particular supply chain function or a specific digital technology. A focus on manufacturing (Industry 4.0) and, consequently, a lack of research regarding other aspects of the supply chain digitalization becomes evident. Moreover, most papers lack coverage of all digitalization dimensions. Besides, more rigorous research regarding the quality of the maturity models, their evaluation, and application is needed. Limitations of the investigation: The conducted review is limited to two databases (Scopus and Web of Science). Two researchers conducted the analysis, which might lead to some bias. Furthermore, the analysis could be broadened and performed more in-depth to derive further insights. Practical implications: Practitioners might use the presented overview of existing maturity models to identify a well-developed one that fits their desired application scenario. Originality / Value: This paper provides suggestions for future research and highlights interesting and relevant topics to investigate.