Artificial intelligence (AI) competencies for organizational performance : A B2B marketing capabilities perspective
Mikalef, Patrick; Islam, Najmul; Parida, Vinit; Singh, Harkamaljit; Altwaijry, Najwa (2023-05-10)
Mikalef, Patrick
Islam, Najmul
Parida, Vinit
Singh, Harkamaljit
Altwaijry, Najwa
Elsevier
10.05.2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2023062966900
https://urn.fi/URN:NBN:fi-fe2023062966900
Kuvaus
vertaisarvioitu
© 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
© 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Tiivistelmä
The deployment of Artificial Intelligence (AI) has been accelerating in several fields over the past few years, with much focus placed on its potential in Business-to-Business (B2B) marketing. Early reports highlight promising benefits of AI in B2B marketing such as offering important insights into customer behaviors, identifying critical market insight, and streamlining operational inefficiencies. Nevertheless, there is a lack of understanding concerning how organizations should structure their AI competencies for B2B marketing, and how these ultimately influence organizational performance. Drawing on AI competencies and B2B marketing literature, this study develops a conceptual research model that explores the effect that AI competencies have on B2B marketing capabilities, and in turn on organizational performance. The proposed research model is tested using 155 survey responses from European companies and analyzed using partial least squares structural equation modeling. The results highlight the mechanisms through which AI competencies influence B2B marketing capabilities, as well as how the later impact organizational performance.
Kokoelmat
- Artikkelit [2821]