Kumultative Dissertation, Otto-Friedrich-Universität Bamberg, 2024

Von der genannten Lizenzangabe ausgenommen sind folgende Bestandteile dieser Dissertation:

Artikel 1 “Development of an Industry 4.0 Maturity. Model for the Delivery Process in Supply Chains” (S. 52–137) steht unter der CC-Lizenz CC BY-NC
Lizenzvertrag: Creative Commons Attribution-NonCommercial 4.0
https://creativecommons.org/licenses/by-nc/4.0/

Artikel 2 “Digitization in Outbound Logistics – Application of an Industry 4.0 Maturity Model for the Delivery Process” (S. 140–167) steht unter der CC-Lizenz CC BY-SA
Lizenzvertrag: Creative Commons Attribution-Share Alike 4.0
https://creativecommons.org/licenses/by-sa/4.0/

Artikel 6 “Do Procedure Models Actually Guide Maturity Model Design? A Citation Analysis” (S. 306–456) steht unter der CC-Lizenz CC BY-NC-ND
Lizenzvertrag: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/

Various developments, such as economic uncertainties, growing market dynamics, or unexpected events, e.g., the COVID-19 pandemic, affect organizations and their business processes. To remain competitive and ensure long term survival, organizational capabilities and processes need to be continuously adapted. Numerous (business process) maturity models have been released as guidance for organizations, which can assist in determining the current state, highlighting improvement measures, and enabling cross-organizational comparisons.
Although the ascribed potential seems high, this dissertation takes a critical perspective by (1) highlighting prevailing points of criticism of models that are inherent in the design and publication process, (2) verifying the anecdotal evidence of these issues, (3) identifying reasons for the points of criticism, and (4) suggesting the framework REMMAP to enhance upcoming model designs and improve released maturity models. The dissertation contributes to the existing body of knowledge by (1) drawing the attention of model designers to prevailing points of criticism to improve the design and publication of released and future models, (2) assisting reviewers and editors in thoroughly screening submitted works, and (3) supporting users in selecting appropriate models as well as providing them with more substantiated and transparent models in the future.