Keeping Your Maturity Assessment Alive A Method for the Continuous Tracking and Assessment of Organizational Capabilities and Maturity

Stoiber, Christoph and Stoeter, Maximilian and Englbrecht, Ludwig and Schoenig, Stefan and Haeckel, Bjoern (2023) Keeping Your Maturity Assessment Alive A Method for the Continuous Tracking and Assessment of Organizational Capabilities and Maturity. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 65. pp. 703-721. ISSN 2363-7005, 1867-0202

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Abstract

Maturity models are valuable management tools for assessing and managing capabilities and therefore creating a basis for their identification, prioritization, and further development. Numerous maturity assessment methods have been developed to support organizations in applying maturity models. However, these methods are mostly used for unique assessments and only provide a snapshot of the current state of capabilities and their maturity. Certainly, this does not reflect the continuous change of capabilities within dynamic organizational environments. Moreover, the systematic selection of suitable maturity models and the identification of the actions that should be targeted following the maturity assessment require more attention. To fill these research gaps, this study proposes the generally applicable Continuous Maturity Assessment Method (CMAM) that enables comprehensive and continuous maturity assessments. The CMAM comprises five steps that extend and advance existing principles of maturity assessment and can be implemented as an organizational routine. The rigorous development of the CMAM followed basic principles of the design science research methodology, including an evaluation of six organizations in different industry sectors and an extensive industrial case study.

Item Type: Article
Uncontrolled Keywords: DESIGN SCIENCE RESEARCH; SYSTEMS; MODELS; MANAGEMENT; READINESS; SEARCH; VIEW; Maturity model; Capabilities; Continuous maturity assessment; Maturity appraisal
Subjects: 000 Computer science, information & general works > 004 Computer science
300 Social sciences > 330 Economics
Divisions: Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Informatics and Data Science > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)

Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Informatics and Data Science > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Depositing User: Dr. Gernot Deinzer
Date Deposited: 13 Mar 2024 10:56
Last Modified: 13 Mar 2024 10:56
URI: https://pred.uni-regensburg.de/id/eprint/59651

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