Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/968
Title: Using multicriteria decision analysis to evaluate the effect of digital transformation on organisational performance: evidence from Greek tourism SMEs
Authors: Mitroulis, Dimitrios
Kitsios, Fotis
Type: Article
Subjects: FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
FRASCATI::Social sciences::Economics and Business::Business and Management
Keywords: digital transformation
digital technologies
organisational transformation
digital innovation
multicriteria satisfaction analysis (MUSA)
tourism industry
Issue Date: 2019
Source: International Journal of Decision Support Systems
Volume: 4
Issue: 2
First Page: 143
Last Page: 158
Abstract: The phenomenon of digital transformation has changed the traditional economy, leading to valuable changes in the tourism industry. The implementation of new digital technologies could enable tourism firms' transformation and improve organisational performance. Although the prior literature discusses the benefits of digital transformation, the measurement of its impact on organisational performance is still vague. Thus, the aim of this study is to evaluate the level of CEOs, CIOs and other senior executives' satisfaction from digital transformation and its effects on performance. A multicriteria user satisfaction analysis was applied to measure executives' satisfaction. The results revealed that the average level of overall satisfaction is high indicating that CIOs and other senior executives are somehow satisfied regarding the effects of digital transformation on organisational performance in the Greek tourism industry. However, they should pay attention to some aspects in order to improve strategic planning of digital transformation and increase the organisational performance.
URI: https://doi.org/10.1504/IJDSS.2019.104569
https://ruomo.lib.uom.gr/handle/7000/968
ISSN: 2050-6988
2050-6996
Other Identifiers: 10.1504/IJDSS.2019.104569
Appears in Collections:Department of Applied Informatics

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