| Title: | Key success factors in digital transformation : fundamentals developed from a bibliometric analysis |
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| Authors: | ID Medved, Tilen (Author)
ID Kern, Tomaž (Author)
ID Krhač Andrašec, Eva (Author) |
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| Files: |  https://aseestant.ceon.rs/index.php/sjm/article/view/51319/27342
 1452-48642501103M.pdf (3,42 MB)
MD5: 945BC00D74ED977FCA2B71EE2BB1AD56
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FOV - Faculty of Organizational Sciences in Kranj
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| Abstract: | The article analyses a multidimensional digital transformation process. Digital transformation is a change or shift in operational and strategic frameworks necessitated by the rapid advancement of digital technology. Digital transformation is more than the implementation of advanced technology, it requires a cultural shift towards constant experimentation and openness to failure. Such changes make the organization agile, efficient, and customer-orientated, with the ability to quickly integrate new, comprehensive data into the entire decision-making and innovation process. The purpose of the research was therefore to analyse the key success factors in digital transformation. The analysis serves as a basis for further theoretical research in this field and for practical implementation in organisational systems. As part of this research, a bibliometric analysis was carried out using the open-source tool VOSviewer. The analysis shows that digital transformation is particularly relevant in the fields of Computer Science; Business, Management and Accounting; and Engineering, namely in Germany, China and the Russian Federation. We have come to the conclusion that the key success factors in digital transformation are as follows: corporate organization and technology, collaboration and cultural change, holistic strategy, leadership and organizational structure, continuous learning and conformity to best practises.
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| Keywords: | digital transformation, advanced technologies, key success factors, bibliometric analysis, VOSviewer |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 30.05.2024 |
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| Article acceptance date: | 19.12.2024 |
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| Publication date: | 13.06.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 103-115 |
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| Numbering: | Vol. 20, no. 1 |
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| PID: | 20.500.12556/DKUM-94862  |
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| UDC: | 005.336.1 |
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| ISSN on article: | 2217-7159 |
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| COBISS.SI-ID: | 238958595 |
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| DOI: | 10.5937/sjm20-51319 |
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| Publication date in DKUM: | 28.08.2025 |
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| Views: | 140 |
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| Downloads: | 15 |
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| Metadata: |    |
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| Categories: | Misc.
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