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Literature Review on Maturity Models for Digital Supply Chains

机译:数字供应链成熟模型的文献综述

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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.
机译:目标。如今,随着公司探索和利用其机会,数字技术对供应链具有显着影响。数字供应链承诺优于传统的优势。成熟度模型是一种有用的工具,可以评估供应链中的当前数字化状态,并指导公司实现实施。本文的主要目标是调查数字供应链的现有成熟模型,并为未来研究提出可能性。设计/方法/方法。进行了结构化文献综述以识别相关成熟度模型。分析了它们的类型,并强调特定的供应链功能或某些数字化维度。结果。确定了二十八种成熟模型。每个人都专注于特定的供应链功能或特定的数字技术。因此,专注于制造业(行业4.0),并因此缺乏关于供应链数字化的其他方面的研究变得明显。此外,大多数论文缺乏所有数字化维度的覆盖率。此外,需要对成熟模型的质量,评估和应用的更严格的研究。调查的局限性。进行的审查仅限于两个数据库(Scopus和Web)。两位研究人员进行了分析,这可能导致一些偏见。此外,可以扩大分析并更深入地进行进一步的见解。实际影响。从业者可能会使用现有成熟程序模型的概述来识别适合其所需应用方案的良好开发的。原创性/值。本文提供了对未来研究的建议,并突出了有趣和相关主题来调查。

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