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This Author published in this journals
All Journal West Science Journal Economic and Entrepreneurship
Komang Shanty Muni
IPBI
Economics, Econometrics & Finance

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Bibliometric Analysis to Understand Research Trends in Data-Driven Economics Loso Judijanto; Komang Shanty Muni; Firlie Lanovia Amir
West Science Journal Economic and Entrepreneurship Vol. 2 No. 03 (2024): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v2i03.1198

Abstract

The bibliometric analysis conducted in this study offers a nuanced understanding of the evolution and current state of research within data-driven domains, highlighting "data" as a central theme interconnected with diverse fields like business, smart cities, and machine learning. This research provides valuable insights into the dominant trends, collaboration patterns, and thematic priorities that shape the data-driven research landscape, underscoring the critical role of data in advancing both theoretical knowledge and practical applications across various sectors. The findings suggest significant opportunities for enhancing data analytics capabilities, developing targeted educational programs, and fostering interdisciplinary collaborations that can bridge existing gaps in the literature. However, the study also notes limitations inherent in bibliometric analyses, including potential biases toward more frequently cited or recent publications and the exclusion of works outside selected databases. Overall, this analysis not only reflects the dynamic and impactful nature of data-driven research but also guides future academic and practical endeavors in the field.
Co-Authors Amir, Firlie Lanovia Loso Judijanto