Paper Type
Short
Paper Number
PACIS2025-1291
Description
This study systematically examines the relationship between information technology (IT) and transactive memory systems (TMS) at multiple levels through a literature review of 42 studies. While prior research highlights IT’s role in augmenting TMS functionality, emergingly intelligent IT systems may introduce new dynamics to TMS, which remain underexplored. We identify three categories of IT artifacts that augment TMS and emphasize critical distinctions between conventional and intelligent IT. Furthermore, three research themes are outlined: (1) the impact of IT on TMS, (2) the impact of TMS on IT, and (3) TMS results and IT’s influence. Our analysis uncovers significant gaps, such as oversimplified assessments of IT usage and a lack of comprehensive understanding of the role of AI affordance in TMS. Based on these findings, we propose a future research agenda to guide a systematic investigation of IT and TMS. The study contributes valuable insights for optimizing IT-augmented knowledge collaboration.
Recommended Citation
Zhang, Yue; Li, Boying; Khong, Kok Wei; and Wang, Jianming, "The Interplay between Information Technology and Transactive Memory Systems: A Systematic Review" (2025). PACIS 2025 Proceedings. 5.
https://aisel.aisnet.org/pacis2025/emerg_tech/emerg_tech/5
The Interplay between Information Technology and Transactive Memory Systems: A Systematic Review
This study systematically examines the relationship between information technology (IT) and transactive memory systems (TMS) at multiple levels through a literature review of 42 studies. While prior research highlights IT’s role in augmenting TMS functionality, emergingly intelligent IT systems may introduce new dynamics to TMS, which remain underexplored. We identify three categories of IT artifacts that augment TMS and emphasize critical distinctions between conventional and intelligent IT. Furthermore, three research themes are outlined: (1) the impact of IT on TMS, (2) the impact of TMS on IT, and (3) TMS results and IT’s influence. Our analysis uncovers significant gaps, such as oversimplified assessments of IT usage and a lack of comprehensive understanding of the role of AI affordance in TMS. Based on these findings, we propose a future research agenda to guide a systematic investigation of IT and TMS. The study contributes valuable insights for optimizing IT-augmented knowledge collaboration.
Comments
Technologies