Abstract
This research explores the complicated relationship between digital culture and digital transformation, specifically examining the mediating role of digital leadership and the moderating influence of technological support. A robust methodological approach was employed; the sample size of 385 participants was calculated according to Cochran’s formula, yielding 361 validated questionnaires for comprehensive statistical analysis. In the research, an interconnected set of questions along with a 5-point Likert scale was used where the measure scale was specialized in digital culture, transformation, digital leadership, and technological support. Along with an expert panel and an initial field test, construct validity and content validity were ensured. The scale was developed in English, after which it was systematically translated to Arabic, the meaning of which was kept the same as the original English version. The findings show how important digital culture is to digital transformation, as well as its overriding role through digital leadership. Also, while direct influence on digital transformation is strong, technological infrastructure does not have a moderating influence. These results help build a new framework to support organizations in adopting new digital practices. This research provides organizations with actionable insights in regards to improving transformational initiatives in digital business by highlighting the importance of digital leadership and culture readiness. This research enriches the discourse on digital transformation by empirically examining the mediating role played by digital leadership and the moderating influence exercised by technological support within the broader construct of digital culture. The analysis is underpinned by a rigorously validated instrument that has been culturally adapted to ensure contextual relevance.
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Obeidat, A. M. (2026). From digital culture to digital transformation: Examining the roles of digital leadership and technological supports. International Journal of Data and Network Science, 10(1), 151–162. https://doi.org/10.5267/j.ijdns.2025.10.006
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