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All Journal International Journal of Economics, Commerce, and Management
Safa Aulia Salsabila
Unknown Affiliation
Decision Sciences, Operations Research & Management Social Sciences

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Exploring Digital Business Model Transformation 2020–2025 Using Bibliometric Analysis Safa Aulia Salsabila; Agistya Maharani; Ayunda Lucy Purnama Shari
International Journal of Economics, Commerce, and Management Vol. 1 No. 1 (2024): January : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i1.1034

Abstract

Rapid developments in the era of digital transformation, which refer to the emergence of business and technology innovations based on artificial intelligence, big data, and the Internet of Things (IoT), have great potential for strategic sustainability for businesses in the digital age. Efforts to transform digital business models as a global competitive advantage and provide outputs that can be oriented towards future predictions. Digital business models refer to strategic designs for creating platform networks that are implemented through relationships with consumers and cross-sector collaboration. Challenges and opportunities for development between transformation and innovation are necessary in order to create and capture competitive value and provide added value in the digital economy era. The use of bibliometric analysis in research provides direction in understanding the perspectives and issues that require further research, opens up space for exploring publication trends, and identifies the mapping of key concepts that form the basis of main ideas, thereby providing a more structured understanding and developing new research opportunities, especially in the field of digital business models. Bibliometric analysis aims to gain an in-depth understanding of research using the R studio application as a tool for processing data trends over time and VOSviewer as a knowledge map visualization tool. The research was conducted to provide an understanding of current and future developments in a dynamic environment.
Co-Authors Agistya Maharani Ayunda Lucy Purnama Shari