The Soft Factors in Digital Transformation Strategies: A Study of Employees Digital Competencies and Support Measures
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Department of Systems Analysis, Faculty of Informatics and Statistics Prague University of Economics and Business W. Churchilla 1938/4, 130 67 Prague, Czech Republic
frantisek.sudzina@vse.cz (corresponding author) -
Faculty of Organizational Sciences, University of Maribor Kidričeva cesta 55a, 4000 Kranj, Slovenia
andreja.pucihar@um.si, gregor.lenart@um.si
Abstract
The aim of the study is to examine whether the digital com petencies of employees and the way in which management introduces new digital technologies to employees influence the extent of selected strategic areas of digital transformation and the importance of different types of support. The data was collected in collaboration with Slovenian chambers of commerce using an online questionnaire. Study finds that the way in which new digital technologies are introduced has an impact on the customer experience, processes and digital solutions to support the business, as well as the digitalization of business models, products and services. In addition, the customer experience was also influenced by digital competencies. The ability to obtain funding for digital transformation was influenced by enterprise size and published local and international examples of best practice in the field of digitalization were influenced by the methods used to introduce new digital technologies.
Key words
Digital Transformation, Digital Transformation Strategy, Digital Competencies, Support Measures For Digital Transformation.
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS250731029S
Publication information
Volume 23, Issue 3 (June 2026)
Year of Publication: 2026
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
Available in PDF
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How to cite
Sudzina, F., Pucihar, A., Lenart, G.: The Soft Factors in Digital Transformation Strategies: A Study of Employees Digital Competencies and Support Measures. Computer Science and Information Systems, 23(3), 947–968 (2026). https://doi.org/10.2298/CSIS250731029S
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