The substantial modifications enacted by governmental entities in the pursuit of digital transformation for the delivery of public services in the contemporary era have exerted a profound influence on the public service paradigm. Nevertheless, the execution of these transformations has encountered numerous obstacles in developing nations, including institutional inefficiencies, inadequate intersectoral coordination, and a workforce characterized by relatively low skill levels, which collectively hinder effective governance. This research aims to elucidate the degree to which organizations and management practices facilitate the implementation of digital transformation within public service frameworks. It adopts an organized literature review, enhanced through revelations from bibliometric research. The results reveal that collaborative efforts among scholars remain predominantly concentrated in developed nations such as the Netherlands, Germany, and Sweden, whereas contributions from developing nations including Brazil, Pakistan, and Indonesia are markedly limited. Additionally, the oversight of digitalization within the scope of the readiness of an organization continues to significantly shape the efficacy of the implementation of digital transformation plans. Also, the terms discerned in the studied articles imply that the concept of ’digital transformation’ is a significant theme linked with numerous subjects such as ’egovernment,’ ’public services,’ and ’innovation.’ They further suggest the onset of a transition towards broader inquiries into the employment of artificial intelligence (AI), data-driven governance, and adjustments to governmental challenges. This study acknowledges certain limitations regarding data sources, which are exclusively derived from the Scopus database, thereby constraining the findings and rendering them insufficient to encapsulate a holistic investigation of digital transformation in public services. Consequently, it is advisable for subsequent research to explore a wider array of data sources from other esteemed databases to facilitate a more thorough analysis and yield novel insights.
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Fatwandy Nur
Hasniati Hasniati
Nurlina Nurlina
KnE Social Sciences
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Nur et al. (Tue,) studied this question.
www.synapsesocial.com/papers/68c182589b7b07f3a060f1b4 — DOI: https://doi.org/10.18502/kss.v10i18.19442