Digital maturity variables and their impact on the enterprise architecture layers
-
DOIhttp://dx.doi.org/10.21511/ppm.16(4).2018.13
-
Article InfoVolume 16 2018, Issue #4, pp. 141-154
- Cited by
- 1893 Views
-
743 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This study examines the variables of digital maturity of companies. The framework for enterprise architectures Archimate 3.0 is used to compare the variables. The vari¬ables are assigned to the six layers of architecture: Strategy, Business Environment, Applications, Technology, Physical and Implementation and Migration. On the basis of a literature overview, 15 “digital maturity models” with a total of 147 variables are analyzed. The databases Scopus, EBSCO – Business Source Premier and ProQuest are used for this purpose.
The results of the work will help researchers and managers to identify which digitiza¬tion variables affect the different layers of the company. This enables researchers or managers to use the right model for a specific purpose or to create a new model from a combination of existing models for the entire company or just one architectural layer.
On the basis of a more precise assessment of the digital maturity of a company, better actions can be derived. This work is important for companies, as the digitization of enterprises and markets changed similarly to the invention of the steam engine did. Websites, sensors, mobile devices, apps, etc. are combined into new digital products and services. The competitors in the market have to adapt. If this is not done, they will increasingly disappear.
Finally, the authors suggests a conclusion about the current situation regarding the measurement of digital maturity in companies and show in which areas further studies could be carried out.
- Keywords
-
JEL Classification (Paper profile tab)M10, M15
-
References27
-
Tables2
-
Figures0
-
- Table 1. Literature search and selection process
- Table 2. Mapping of digital maturity models to enterprise architecture layers
-
- Back, A., & Berghaus, S. (2016). Digital Maturity & Transformation Studie: Über das Digital Maturity Model.
- Berman, S. F., & Bell, R. (2011). Digital transformation: Creating new business models where digital meets physical.
- De Carolis, A., Machhi, M., Negri, E., & Terzi, S. (2017). A Maturity Model for Assessing the digital Readiness of Manufacturing Companies. In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing (pp. 13-20).
- Fenwick, N., & Gill, M. (2014). Arbeitest du bei einem digitalen Dinosaurier? Oder ist dein Arbeitgeber ein digitaler Master?
- Fink, A. (2014). Conducting Research Literature Reviews: From the Internet to Paper (4th ed.). USA: University of California.
- Gartner (2016). Strategic Roadmap for Digital Business Transformation.
- Greif, H., Kühnis, N., & Warnking, P. (2016). Digitalisierung – wo stehen Schweizer KMU?
- Kagermann, H. (2015). Change Through Digitization – Value Creation in the Age of Industry 4.0. In H. Albach, H. Meffert, A. Pinkwart & R. Reichwald (Eds.), Management of Permanent Change (pp. 23-32). Wiesbaden: Springer.
- Keuper, F., Hamidian, K., Verwaayen, E., Kalinowski, T., & Kraijo, C. (2013). Digitalisierung und Innovation: Planung – Entstehung – Entwicklungsperspektiven. Wiesbaden: Springer.
- Kiron, D., Kane, G., Palmer, D., Phillips, A. N., & Buckley, N. (2016). Aligning the Organization for its Digital Future.
- KPMG (2014). Survival of the smartest 2.0: Wer zögert, verliert. Verschlafen deutsche Unternehmen die digitale Revolution?
- Land, K. H. (2015). Digital Transformation Report 2015.
- Levy, Y., & Ellis, T. J. (2006). A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research. Informing Science Journal, 9, 181-212.
- McKinsey & Company (2014). Why every leader should care about digitization and disruptive innovation.
- Mueller, M., Baer, T., & Weber, C. (2006). The Digital Maturity Map – Motivation for an EDM-based digital validation method.
- O’Hea, K. (2011). Digital Capability – How to Understand, Measure, Improve and Get Value from it.
- Schmidt, R., Zimmermann, A., Möhring, M., Nurcan, S., Keller, B., & Bär, F. (2016). Digitization – Perspectives for Conceptualization. In A. Celesti & P. Leitner (Eds.), Advances in Service-Oriented and Cloud Computing (pp. 263- 275).
- Schmitz, A. (2015). IDC-Benchmark: Digitaler Reife-Check zur Selbsteinschätzung.
- Summa, L. (2016). Digitale Führungsintelligenz: “Adapt to win” – Wie Führungskräfte sich und ihr Unternehmen fit für die digitale Zukunft machen (S. 1). Wiesbaden: Springer.
- The Open Group (2016). Archimate 3.0 Specification, an Open Group Standard.
- TM Forum (2017). The Digital Maturity Model (DMM).
- Urbach, N., & Ahlemann, F. (2016). IT-Management im Zeitalter der Digitalisierung: Auf dem Weg zur IT-Organisation der Zukunft. Heidelberg: Springer.
- Valdez-de-Leon, O. (2016). A Digital Maturity Model for Telecommunications Service Providers.
- Vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., & Cleven, A. (2009). Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. Paper presented at the 17th European Conference on Information Systems (ECIS 2009), Verona (Italy).
- Westermann, G., Bonnet, D., & McAfee, A. (2014). Leading Digital: Turning Technology into Business Transformation. Boston: Harvard Business School Publishing.
- Xu, J. (2014). Managing Digital Enterprise: Ten Essential Topics. Australia: Atlantis Press.
- Zimmermann, A., Bogner, J., Jugel, D., & Schweda, C. (2016). Digital enterprise architecture with micro-granular systems and services.