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Digital Transformation in Banking Management: Optimizing Operational Efficiency and Enhancing Customer Experience Yuli Alam; Siti Nur Azizah; Caroline Caroline
International Journal of Management Science and Information Technology Vol. 5 No. 1 (2025): January - June 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i1.3646

Abstract

Digital transformation in the banking sector has become a fundamental phenomenon, fundamentally changing how banks operate and interact with customers. The adoption of digital technologies across various operational aspects of banks, from internal processes to customer services, has the potential to improve efficiency and deliver a better customer experience. The primary objective of this study is to analyze the impact of digital transformation on operational efficiency and the enhancement of service quality in the banking sector. This research also focuses on identifying the challenges and opportunities banks face during digitization. In their pursuit of greater efficiency, banks are integrating various technologies such as process automation, big data, artificial intelligence (AI), and cloud-based systems to replace previously used manual methods. This reduces operational costs and improves speed, accuracy, and consistency in service delivery. However, implementing these technologies requires adequate infrastructure readiness, skilled human resources, and a shift in organizational culture to support adopting new technologies. This study reveals that banks implementing digital transformation can experience increased productivity and competitiveness. However, challenges related to initial investments, resistance to change, and the management of technological risks remain significant barriers that must be addressed. The research offers valuable insights for banks planning digital transformation and stakeholders developing technology-driven banking policies.
Knowledge Evolution of Digital Business Transformation: A Bibliometric Analysis and Emerging Research Trends violeta nirmala; Yuli Alam
Journal Of Applied Multidisiplinary Studies Vol 2 No 2 (2026): May 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

The rapid growth of Digital Business Transformation research has led to a significant increase in scientific publications; however, studies mapping the evolution of knowledge, intellectual structure, and emerging research trends remain limited. This study aims to analyze the knowledge evolution of Digital Business Transformation through a bibliometric review and identify future research directions. A descriptive quantitative bibliometric approach was employed using publication data retrieved from the Google Scholar database through Publish or Perish. The search strategy was based on keywords related to Digital Business Transformation, covering publications published between 2022 and 2026. The retrieved records were screened to remove irrelevant and duplicate documents, resulting in 987 publications that met the inclusion criteria. The selected articles were exported in RIS format and analyzed using VOSviewer through keyword co-occurrence analysis, including network visualization, overlay visualization, and density visualization, to identify the intellectual structure, thematic evolution, research maturity, and emerging topics. The findings indicate that the research landscape is still dominated by MSME digitalization, technology adoption, entrepreneurship, social media, and business performance. The overlay analysis reveals a shift from operational technology implementation toward strategic business transformation emphasizing business model innovation and value creation. This study contributes by proposing a Knowledge Evolution Framework and identifying promising future research themes, including Artificial Intelligence, Digital Capability, Digital Ecosystem, Human-Centered Digital Business, and Business Intelligence. These findings provide valuable insights for researchers and practitioners in developing adaptive digital business transformation strategies and future research agendas.