%0 Conference Proceedings
%T Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis
%+ University of Bradford
%+ Swansea University
%A Ismagiloiva, Elvira
%A Dwivedi, Yogesh, K.
%A Rana, Nripendra, P.
%Z Part 1: Artificial Intelligence and Autonomous Systems
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B International Working Conference on Transfer and Diffusion of IT (TDIT)
%C Tiruchirappalli, India
%Y Sujeet K. Sharma
%Y Yogesh K. Dwivedi
%Y Bhimaraya Metri
%Y Nripendra P. Rana
%I Springer International Publishing
%3 Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation
%V AICT-617
%N Part I
%P 43-53
%8 2020-12-18
%D 2020
%R 10.1007/978-3-030-64849-7_5
%K Artificial intelligence
%K Marketing
%K Bibliometric analysis
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X As the number of research outputs in the field of AI in Marketing increased greatly in the past 20 years, a systematic review of the literature and its developmental process is essential to provide a consolidated view of this area. This study conducted a bibliometric analysis for the knowledge domain of AI in Marketing by using 617 research outputs from the Web of Science database from 1992 to 2020. Knowledge maps of AI in marketing research were visualised by employing CiteSpace software.
%G English
%Z TC 8
%Z WG 8.6
%2 https://inria.hal.science/hal-03701761/document
%2 https://inria.hal.science/hal-03701761/file/497052_1_En_5_Chapter.pdf
%L hal-03701761
%U https://inria.hal.science/hal-03701761
%~ SHS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-TDIT
%~ IFIP-WG8-6
%~ IFIP-AICT-617