Toward a Maturity Model for Digital Business Ecosystems from an IT perspective

Ehrensperger, Robert; Sauerwein, Clemens; Breu, Ruth

doi:10.1109/edoc52215.2021.00012

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…In particular, the digital transformation cluster is disputed between niche theme and motor theme. In fact, in recent years, several authors have started to deal with readiness MMs [22,68] and transformation MMs [69,70] in view of the digitization process. Finally, the risk management cluster (five occurrences out of two keywords) appears to be declining, and the sustainability cluster (13 occurrences out of five keywords) is emerging, within which the theme of logistics is reiterated.…”

Section: Authors Analysis and Abstract Analysismentioning

confidence: 99%

Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics

Ferraro,

Leoni,

Cantini

et al. 2023

Applied Sciences

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Maturity models (MMs) are strategic tools used to assess and improve the current state of processes, objects, or people, with the goal of achieving continuous performance enhancement. While MMs are applied in various fields, their scope, design, and application criteria within Supply Chain Management and Logistics (SCML) lack comprehensive studies. This article aims to address this gap through a systematic literature review. The review analyzes 137 relevant articles using both bibliometric and content analysis techniques. The bibliometric analysis identifies major contributions, popular journals, and the classification and evolution of key keywords. The content analysis focuses on critical criteria related to the scope, design, and application of MMs. The findings reveal a growing emphasis on models assessing Industry 4.0 readiness and sustainability principles. However, several gaps are identified, including limited attention to optimizing and integrating logistic processes, underutilized and unvalidated MMs, and the absence of comprehensive improvement guidelines. Based on these trends and research gaps, this study proposes five recommendations for future developments that benefit both academics and practitioners. These recommendations aim to address the identified limitations and provide guidance for comprehensive and effective improvement strategies.

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