Barriers to Digital Transformation in Higher Education: An Interpretive Structural Modeling Approach

Bayu Rima Aditya, Ridi Ferdiana and Sri Suning Kusumawardani
Additional contact information
Bayu Rima Aditya: Department of Electrical and Information Engineering, Gadjah Mada University, Yogyakarta, Indonesia†School of Applied Science, Telkom University, Bandung, Indonesia
Ridi Ferdiana: Department of Electrical and Information Engineering, Gadjah Mada University, Yogyakarta, Indonesia
Sri Suning Kusumawardani: Department of Electrical and Information Engineering, Gadjah Mada University, Yogyakarta, Indonesia

International Journal of Innovation and Technology Management (IJITM), 2021, vol. 18, issue 05, 1-18

Abstract: This paper presents a study of developing a framework using Interpretive Structural Modeling (ISM) for the barriers to digital transformation in higher education in a particular context: Indonesia. This study has identified 55 contextual relationships between the 11 key barriers and has developed five levels of the structure hierarchy. This study also proposed a four-phase strategy that will guide us to improve the strategy of the implementation of digital transformation in higher education in Indonesia. This research gives contribution by providing a better understanding of barriers and the interrelationships among barriers in the implementation of the digital transformation in the higher education domain.

Keywords: Digital transformation; higher education; interpretive structural modeling (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219877021500243
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:18:y:2021:i:05:n:s0219877021500243

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219877021500243

Access Statistics for this article

International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang

More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().