Generative AI: Current Status and Future Directions

被引：0

作者：

Leong, Lai-Ying ^{[1
]}

Hew, Teck-Soon ^{[2
]}

Ooi, Keng-Boon ^{[3
,4
,5
,6
,7
]}

Tan, Garry Wei-Han ^{[3
,7
,8
,9
]}

Koohang, Alex ^{[10
]}

机构：

[1] Univ Tunku Abdul Rahman, Kampar, Malaysia

[2] Univ Malaya, Kuala Lumpur, Malaysia

[3] UCSI Univ, Ctr Business Informat & Ind Management CBIIM, Kuala Lumpur, Malaysia

[4] Korea Univ, Korea Univ Business Sch KUBS, Seoul, South Korea

[5] Chang Jung Christian Univ, Tainan, Taiwan

[6] FORE Sch Management, New Delhi, India

[7] Swinburne Univ Technol, Sarawak Campus, Kuching, Malaysia

[8] Univ Jordan, Amman, Jordan

[9] Jaipuria Inst Management, Lucknow, India

[10] Middle Georgia State Univ, Macon, GA USA

来源：

JOURNAL OF COMPUTER INFORMATION SYSTEMS | 2025年

关键词：

Generative artificial intelligence (GAI); nomological network; research agenda; SDG 9-inclusive innovation; ARTIFICIAL-INTELLIGENCE;

D O I：

10.1080/08874417.2025.2482571

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 study aims to examine the development and evolution of Generative AI (GAI) and propose future research agendas based on a systematic literature review and bibliometric study using Biblioshiny apps of the Bibliometrix R package. The study provides a wide-angle perspective of GAI through a cross-discipline telescopic viewpoint that differs from most existing studies that focus on a particular area of GAI. Based on the bibliometric analyses of 2350 papers published between 2014 and 2024, we identify the strategic thematic diagrams and the evolution of GAI and develop a nomological network that links the nexus between various facets of GAI. We have proposed the research agenda of GAI for future studies to delve into. We also discuss the theoretical and practical contributions of the study.

引用

页数：34

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