Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis

Elvira Ismagiloiva; Yogesh Dwivedi; Nripendra Rana

doi:10.1007/978-3-030-64849-7_5

Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis

Elvira Ismagiloiva^*
, Yogesh Dwivedi
, Nripendra Rana

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Re-imagining Diffusion and Adoption of Information Technology and Systems
Subtitle of host publication	A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings
Editors	Sujeet K. Sharma, Yogesh K. Dwivedi, Bhimaraya Metri, Nripendra P. Rana
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	43-53
Number of pages	11
ISBN (Print)	9783030648480
DOIs	https://doi.org/10.1007/978-3-030-64849-7_5
State	Published - 2020
Externally published	Yes
Event	IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020 - Tiruchirappalli, India Duration: 18 Dec 2020 → 19 Dec 2020

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	617
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020
Country/Territory	India
City	Tiruchirappalli
Period	18/12/20 → 19/12/20

Bibliographical note

Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.

Keywords

Artificial intelligence
Bibliometric analysis
Marketing

ASJC Scopus subject areas

Information Systems and Management

Access to Document

10.1007/978-3-030-64849-7_5

Cite this

Ismagiloiva, E., Dwivedi, Y., & Rana, N. (2020). Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis. In S. K. Sharma, Y. K. Dwivedi, B. Metri, & N. P. Rana (Eds.), Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings (pp. 43-53). (IFIP Advances in Information and Communication Technology; Vol. 617). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-64849-7_5

Ismagiloiva, Elvira ; Dwivedi, Yogesh ; Rana, Nripendra. / Visualising the Knowledge Domain of Artificial Intelligence in Marketing : A Bibliometric Analysis. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings. editor / Sujeet K. Sharma ; Yogesh K. Dwivedi ; Bhimaraya Metri ; Nripendra P. Rana. Springer Science and Business Media Deutschland GmbH, 2020. pp. 43-53 (IFIP Advances in Information and Communication Technology).

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title = "Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis",

abstract = "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.",

keywords = "Artificial intelligence, Bibliometric analysis, Marketing",

author = "Elvira Ismagiloiva and Yogesh Dwivedi and Nripendra Rana",

note = "Publisher Copyright: {\textcopyright} 2020, IFIP International Federation for Information Processing.; IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020 ; Conference date: 18-12-2020 Through 19-12-2020",

year = "2020",

doi = "10.1007/978-3-030-64849-7\_5",

language = "English",

isbn = "9783030648480",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "43--53",

editor = "Sharma, \{Sujeet K.\} and Dwivedi, \{Yogesh K.\} and Bhimaraya Metri and Rana, \{Nripendra P.\}",

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Ismagiloiva, E, Dwivedi, Y & Rana, N 2020, Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis. in SK Sharma, YK Dwivedi, B Metri & NP Rana (eds), Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings. IFIP Advances in Information and Communication Technology, vol. 617, Springer Science and Business Media Deutschland GmbH, pp. 43-53, IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Tiruchirappalli, India, 18/12/20. https://doi.org/10.1007/978-3-030-64849-7_5

Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis. / Ismagiloiva, Elvira; Dwivedi, Yogesh; Rana, Nripendra.
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings. ed. / Sujeet K. Sharma; Yogesh K. Dwivedi; Bhimaraya Metri; Nripendra P. Rana. Springer Science and Business Media Deutschland GmbH, 2020. p. 43-53 (IFIP Advances in Information and Communication Technology; Vol. 617).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Visualising the Knowledge Domain of Artificial Intelligence in Marketing

T2 - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020

AU - Ismagiloiva, Elvira

AU - Dwivedi, Yogesh

AU - Rana, Nripendra

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Bibliometric analysis

KW - Marketing

UR - https://www.scopus.com/pages/publications/85098210611

U2 - 10.1007/978-3-030-64849-7_5

DO - 10.1007/978-3-030-64849-7_5

M3 - Conference contribution

AN - SCOPUS:85098210611

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BT - Re-imagining Diffusion and Adoption of Information Technology and Systems

A2 - Sharma, Sujeet K.

A2 - Dwivedi, Yogesh K.

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 18 December 2020 through 19 December 2020

ER -

Ismagiloiva E, Dwivedi Y, Rana N. Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis. In Sharma SK, Dwivedi YK, Metri B, Rana NP, editors, Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 43-53. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-64849-7_5

Visualising the Knowledge Domain of Artificial Intelligence in Marketing: A Bibliometric Analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this