Abstract
Intelligent agents are getting more attention in academia and among industries. This has led to a large amount of multidisciplinary research around the topic. While the amount of research is still rising, it’s important for information systems (IS) researchers to get a broad understanding of the topic, trends, and future directions. To address this need, our study adopts the computational literature review, where we employed data analytics and machine learning algorithms to provide visibility to key trends and patterns, categorizing thirteen topics into four distinct groups from the corpus total of 2939 documents. We examined the evolution of these topics while proposing various future research questions grounded in a framework derived from topic modeling. The findings offer extensive insights into the state-of-the-art intelligent agents within an organizational context and a foundational framework as a starting point for new, novel research among intelligent agents.
Recommended Citation
Kevari, Joonas; Islam, Najmul; and Kumar, Prabhat, "Evolving Research On Intelligent Agents Within Organizational Context: A Computational Literature Review" (2025). 16th Scandinavian Conference on Information Systems. 14.
https://aisel.aisnet.org/scis2025/14