Artificial Intelligence in Business: A Literature Review and Research Agenda

被引：19
作者：
Nguyen, Quynh N. [1 ]
Sidorova, Anna [2 ]
Torres, Russell [2 ]
机构：
[1] Stockton Univ, Sch Business, Galloway, NJ 08205 USA
[2] Business Univ North Texas, G Brint Ryan Coll, Denton, TX USA
来源：
COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS | 2022年 / 50卷 / 01期
关键词：
Artificial Intelligence; Information System Research; Research Agenda; INFORMATION-SYSTEMS RESEARCH; LATENT SEMANTIC ANALYSIS; DECISION-SUPPORT; NEURAL-NETWORKS; E-COMMERCE; MACHINE; TECHNOLOGY; ALGORITHM; DISCIPLINES; STRATEGY;
D O I：
10.17705/1CAIS.05007
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The rise of artificial intelligence (AI) technologies has created promising research opportunities for the information systems (IS) discipline. Through applying latent semantic analysis, we examine the correspondence between key themes in the academic and practitioner discourses on AI. Our findings suggest that business academic research has predominantly focused on designing and applying early AI technologies, while practitioner interest has been more diverse. We examine these differences in the socio-technical continuum context and relate existing literature on AI to core IS research areas. In doing so, we identify existing research gaps and propose future research directions for IS scholars related to AI and organizations, AI and markets, AI and groups, AI and individuals, and AI development.
引用
收藏
页码：175 / 207
页数：34
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