Continuance intention in digital information systems: a bibliometric, science-mapping, and integrative framework study

This study makes three interrelated contributions to continuance intention (CI) research in Information Systems (IS). First, it provides a bibliometric science-mapping synthesis of 477 peer-reviewed articles published between 2014 and 2024, using keyword co-occurrence analysis, TF-IDF text-mining, temporal burst detection, thematic clustering, and research opportunity heatmaps to map the field’s intellectual and thematic structure. Second, it identifies theoretical fragmentation and methodological concentration as recurring structural patterns in the CI literature, while using a cautious interpretation of bibliometric evidence rather than treating network outputs as direct causal proof. Third, it proposes the Comprehensive Integrated Model for Continuance Intention in Information Systems (CIM-CIIS), a bibliometrically anchored conceptual framework that integrates core CI determinants with affective, cognitive-affective, contextual, and emerging constructs relevant to AI-enabled and digitally intensive systems. The CIM-CIIS is presented as a research-informed framework for future empirical validation, not as a tested causal model. By reframing continuance intention as a dynamic socio-technical phenomenon, this study contributes to IS theory and provides practical guidance for sustaining user engagement in evolving digital environments.