Impact of the Pandemic on the Barriers to the Digital Transformation in Higher Education - Comparing Pre- and Intra-Covid-19 Perceptions of Management Students
The rise of digital technologies is a macro trend, forcing organizations to transform digitally. This so-called digital transformation (DT) is affecting the field of higher education, too. Higher education institutions (HEI) digitalize internal processes and offer digitally-enabled education service...
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Published in | Perspectives in Business Informatics Research Vol. 430; pp. 3 - 18 |
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Main Authors | , |
Format | Book Chapter Conference Proceeding |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2021
Springer International Publishing |
Series | Lecture Notes in Business Information Processing |
Subjects | |
Online Access | Get full text |
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Summary: | The rise of digital technologies is a macro trend, forcing organizations to transform digitally. This so-called digital transformation (DT) is affecting the field of higher education, too. Higher education institutions (HEI) digitalize internal processes and offer digitally-enabled education services. Different types of barriers are challenging a successful DT and need to be mastered. Our study follows a longitudinal research design by surveying different student cohorts in the same courses. Before the pandemic, we identified the barriers to DT and transferred them into a research model. Pre-pandemic, we surveyed the influence of barriers perceived by management students on the DT process of their HEI. Taking the pandemic as a solid external driver on DT, we examined students’ intra-pandemic perception in the same courses as the pre-pandemic analysis. With pre-pandemic data, the projection explains over 50% of the adjustment problems of the DT process. Based on intra-pandemic data, the explanation decreases to 45%. Hypothetically, we expected a better explanation degree as an impact of the pandemic. Interestingly, results indicate that intra-pandemic perceptions got more complex and, therefore, less significant. |
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ISBN: | 9783030872045 3030872041 303087205X 9783030872052 |
ISSN: | 1865-1348 1865-1356 |
DOI: | 10.1007/978-3-030-87205-2_1 |