Document Type : Research Paper
Authors
1 PhD Candidate, Management & Economy, Information Science, Tehran, Iran
2 Asst. Prof, Management & Economy, Information Science, Tehran, Iran
3 Full-Prof, Management & Economy, Information Science, Tehran, Iran
4 Post-doc, Management & Economy, Information Science, Tehran, Iran
5 Post-doc, ICT Research Institute, Tehran, Iran,
Abstract
This study analyzes the knowledge structure and research trends in Agile Data Management (ADM) within the banking industry. Using a bibliometric approach, this study identifies key authors, conceptual clusters, lexical trends, and international collaborations in this field, providing a comprehensive picture of the current and future state of related research. For the analysis, data from Scopus, including 552 articles published between 1980 and 2025, were extracted. Analysis tools included VOSviewer and the Bibliometrix software package in R. Analysis types included synonymy, co-authorship, co-citation, and bibliographic pair analysis. Only full-text, English-language, and research articles were included in the analysis. Conceptual Clusters: Five main clusters were identified: digital transformation, emerging technologies, customer behaviour, knowledge management, and sustainable development. Authors and countries: India, Indonesia, and Malaysia have published the most articles. Authors such as Khorsand and Soldatos were identified as key players. Trends: Concepts such as “blockchain,” “digital transformation,” and “smart banking” have seen the most growth. Networks of collaboration: South-South (India-Jordan-Indonesia) and Western regional collaborations are prominent in developing theoretical frameworks. This study shows that agile data management, as an interdisciplinary field, is growing rapidly and is increasingly critical for banks. The results of this research can serve as a basis for policymaking, the development of agile infrastructure, and the direction of future research in digital banking.
Keywords
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