Journal of computer information systems: intellectual and conceptual structure

This study examines the intellectual and conceptual structure of the Journal of Computer Information Systems (JCIS) from 1995 to 2021. The evolution of the key topics and the performance of different actors like the key publications, authors, institutions, countries, etc., are reported using a hybrid methodology based upon scientometrics and topic modeling. The latent topics are discovered using structural topic models, and the temporal deviation in the topic prevalences from 1995 to 2021 is visualized. Further, this study reports the most prominent articles, themes, and collaboration patterns using co-citation network analysis, assessment of keywords co-occurrences, and exploration of coauthorship patterns. Finally, the disciplinary influences and knowledge exchange across disciplines are reported. The most significant findings from the study reveal that themes such as “Information Security and Privacy,” “Social Commerce and Social Networking Sites,” “Social Media, Web Search and User Satisfaction,” “Big Data Analytics and Cloud Computing, and “ICT for Economic Development and Empowerment” may become the hotspot for future research. The social exchange of knowledge reveals intra-disciplinarity, where JCIS gets most of the knowledge from the information systems domain itself. However, closest associations with the general business domain, computer science, marketing, organization science, and psychology for knowledge inflows make JCIS a net knowledge receiver.