Asia Pacific Journal of Information Systems (APJIS)

menu05_sub01_ov.gif

Share this page

Current Issue

Date	June 2026
Vol. No.	Vol. 36 No. 2
DOI	https://doi.org/10.14329/apjis.2026.36.2.210
Page	210~237
Title	Bridging the AI gap between Information Systems Research and Industry Practice
Author	Jaehui Kim, Hyunjung Choi, Hee-Woong Kim
Keyword	AI, Generative AI, Industry-IS Research Gap, Systematic Literature Review, Research Agenda
Abstract	The rapid evolution of artificial intelligence, particularly Generative AI, has widened the gap between industrial practice and Information Systems research. To address this issue, this study investigates the industry-academia speed gap and proposes future research agendas to bridge this divide. We conceptualize this gap as a structural temporal asynchrony driven by distinct knowledge production mechanisms. Methodologically, we employ a computationally assisted Systematic Literature Review (SLR) that integrates Latent Dirichlet Allocation and embedding-based semantic similarity analysis to compare discourse patterns across industry news and IS academic papers. Our analysis reveals that industry and academia interpret identical phenomena through different lenses, even within shared thematic areas. Furthermore, we identify unique topic clusters that emerge exclusively within each domain. Based on these findings, we propose an expanded AI research framework by extending Padmanabhan et al. (2022) and present a research agenda directing scholars toward underrepresented yet industrially significant areas. This approach facilitates more timely and substantial contributions to the IS field while providing rigorous insights to assist in establishing corporate mid-to-long-term strategies.

Home l Site Map l Abstracting/Indexing l FAQ l Publisher l Contact Us l Admin Login

© 2013 The Korean Society of Management Information Systems. All rights reserved.