Ulufer, Nursel Buse, Dolgun, İkra Tuba, Birinci, Şevval, Işık, Atalay, Bal, Semiha, Temur, Gül T. and Camcı, Alper (2022) Digitalization maturity model development for higher education. In: Kahraman, Cengiz and Haktanır, Elif, (eds.) Intelligent Systems in Digital Transformation: Theory and Applications. Lecture Notes in Networks and Systems. Springer Berlin / Heidelberg, Cham, CH, 471 - 488. ISBN 9783031165979
Full text not available from this repository.Abstract
This chapter attempts to provide a measurement tool to determine the digitalization maturity level for universities. The objectives of this chapter can be listed as follows: (1) to discuss the relevant literature to reveal all criteria affecting the development of digitalization maturity in higher education, (2) to figure out the importance of these criteria by the help of a traditional multi criteria decision making method, and (3) to apply the proposed methodology on a university to validate how it is successfully implemented for determination of digitalization maturity level. After reviewing the literature, for the methodological structure, four main criteria (strategic, organizational, technological, and data management) are selected with their twenty sub criteria. The methodology of the paper is applied by conducting surveys with valuable experts on this area, and the evaluation of one of Turkey’s best universities is succeeded. It is expected that the outputs of the study will be beneficial guide for both of governmental and consultancy companies that aim to figure out digitalization maturity of higher educational system and aim to give guidance them on how to improve the weaknesses in current practices to level up.
| Item Type: | Book Section |
|---|---|
| Official URL: | https://link.springer.com/book/10.1007/978-3-031-1... |
| Additional Information: | © 2023 The Author, under exclusive license to Springer Nature Switzerland AG. |
| Divisions: | European Institute |
| Subjects: | L Education |
| Date Deposited: | 04 Jan 2023 16:57 |
| Last Modified: | 11 Dec 2024 18:07 |
| URI: | http://eprints.lse.ac.uk/id/eprint/117706 |
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