Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/297209 
Year of Publication: 
2023
Citation: 
[Journal:] Logistics Research [ISSN:] 1865-0368 [Volume:] 16 [Issue:] 1 [Article No.:] 5 [Year:] 2023 [Pages:] 1-35
Publisher: 
Bundesvereinigung Logistik (BVL), Bremen
Abstract: 
Emerging technologies like artificial intelligence, cloud computing, or big data play an important role in the digitalization of today's society, also impacting companies and their supply chains. However, the associated challenges are not only restricted to the technical dimension but include organizational or managerial issues as well. For companies, it is difficult to "get a grasp" of the complex digitalization processes regarding their supply chains. A maturity model provides a beneficial starting point to assess the current state and subsequently guide the further digitalization. Therefore, the paper aims to conduct the first steps necessary to develop a maturity model in the area of digital supply chains. As a result, a first draft of the "Digital Supply Chain Maturity Model" (DSCM²) is presented. The model development is accurately documented and follows a rigorous scientific methodology, grounded in in-depth literature reviews and expert interviews. First, the topic area is structured into four dimensions, namely business, organizational, process & method, and technological digitalization. Second, subdimensions, as well as maturity levels and their related maturity characteristics, are identified and described. Third, the model is evaluated from a practitioner's perspective in several iterations. The feedback from the experts is positive and minor changes are implemented. However, the model and the provided online self-assessment tool still have to be evaluated on a larger scale. Despite its limitations, this preliminary research can motivate future research and serve as a solid foundation for continued development of the model.
Subjects: 
Digitalization
Supply Chain Management
Maturity Model Development
Literature Review
Semi-Structured Interviews
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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