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Maturity Models for Information Systems - A State of the Art
Open accessAbstract
A Maturity Model is a widely used technique that is proved to be valuable to assess business processes or certain aspects of organizations, as it represents a path towards an increasingly organized and systematic way of doing business. A maturity assessment can be used to measure the current maturity level of a certain aspect of an organization in a meaningful way, enabling stakeholders to clearly identify strengths and improvement points, and accordingly prioritize what to do in order to reach higher maturity levels. This paper collects and analyzes the current practice on maturity models, by analyzing a collection of maturity models from literature.
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Cited by
Defining and assessing industry 4.0 maturity levels – case of the defence sector
Bibby, L., & Dehe, B. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1503355 · Cited by 417
Maturity and Readiness Model for Industry 4.0 Strategy
Akdil, K. Y., Ustundag, A., & Cevikcan, E. (2018) · Springer Series in Advanced Manufacturing · doi:10.1007/978-3-319-57870-5_4 · Cited by 284
Schumacher, A., Nemeth, T., & Sihn, W. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.02.110 · Cited by 258
Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors
Angreani, L. S., Vijaya, A., & Wicaksono, H. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.11.056 · Cited by 87
The Extended Digital Maturity Model
Haryanti, T., Rakhmawati, N. A., & Subriadi, A. P. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7010017 · Cited by 84
Metadata
- Authors
- Proença, D., & Borbinha, J.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 100
- Pages
- 1042-1049
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2528661529
- Cited by
- 203
- References
- 0
- FWCI
- 23.65
- Type
- conference paper
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
