Turnover Intention Research in the Era of Technology Adoption: A Bibliometric Study Combining UTAUT and Financial Knowledge

Abstract

Purpose: This study aims to map the development of turnover intention research in the context of technology adoption by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with financial knowledge.

Methodology/approach: Using a bibliometric approach, 1,493 documents were retrieved from the Scopus database on 11 September 2025. The bibliometrix package in R was applied to analyze publication trends, sources, authorship, collaboration networks, and keyword co-occurrence.

Results/findings: The results reveal a significant increase in publications after 2020, with major contributions from journals such as Sustainability and from countries including India and Indonesia. Keyword analysis highlights emerging themes such as artificial intelligence adoption, fintech, and digital transformation in relation to turnover intention.

Conclusions: The study identifies a notable research gap: limited empirical evidence on the moderating role of financial knowledge in UTAUT-based models of turnover intention. This gap suggests the need for integrating behavioral finance perspectives into technology adoption frameworks.

Limitations: The analysis is restricted to Scopus-indexed publications and provides only bibliometric evidence without empirical testing.

Contribution: This study contributes by offering a structured overview of turnover intention research at the intersection of technology adoption and financial knowledge. It benefits scholars in management, behavioral finance, and information systems, and informs practitioners and policymakers addressing employee retention in digitally transforming organizations.