Abstract
In IS domain, the phenomenon of information overload is widespread, yet few studies have systematically examined it in the context of technological evolution. The rapid advancement of digital technologies has led to increasing complexity in the volume, formats, and interaction modes users encounter, imposing substantial cognitive load and limiting the effective use of these technologies. Considering the dynamic nature of information overload, this study employs a systematic review approach, Key-Route Main Path Analysis (MPA) to collect and visualize the primary developmental trajectories of information overload research. The findings indicate that as IT artifacts continually evolve, users’ cognitive processes and coping strategies change accordingly, yielding varied psychological impacts; This study thereby redefines and extends the concept of information overload, and further introduces an Information Processing Overload model to provide a theoretical explanation.
Recommended Citation
Lin, Chieh-Jou; Huang, Chen-Hao; Huang, Ling-Pu; and Ratnasari, Wiwit, "Too Much to Handle: Tracing the Evolution of Information
Overload from a Processing Perspective" (2025). ACIS 2025 Proceedings. 266.
https://aisel.aisnet.org/acis2025/266