Applying Decision Tree and Bibliometric Analysis: The Analysis of Digital Governance Determinants

Benjawan  Kunviroteluck; Alisa Kongthon; Patipan SaeLim

doi:10.59796/jcst.V14N1.2024.8

Authors

Benjawan Kunviroteluck Graduate School of Management and Innovation, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
Alisa Kongthon Graduate School of Management and Innovation, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
Patipan SaeLim Graduate School of Management and Innovation, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand

DOI:

https://doi.org/10.59796/jcst.V14N1.2024.8

Keywords:

Bibliometric analysis, decision tree modeling, determinants, digital governance., digital transformation

Abstract

Digital governance plays a crucial role in leading organizations in their digital transformation process. This paper aims to explore the analysis of digital governance determinants through the application of decision tree and bibliometric analysis techniques. Understanding these factors can help organizations in developing effective digital governance initiatives and strategies. Bibliometric analysis is utilized to identify new trends and overall research landscape of digital governance. K-means clustering and decision tree are then used to identify key determinants of effective digital governance. Our results show that leadership is the most initial important factor. In addition, to enhance digital governance to the highest level, organizational culture that is driven from the leader is also another important factor. The findings of this study yield insights for practitioners and managers who seek to improve their digital governance practices.

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