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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Adoption of AI and CRM Systems in B2B Marketing: An Empirical Study

Authors: Dr. Swapnil S. Phadtare;

Adoption of AI and CRM Systems in B2B Marketing: An Empirical Study

Abstract

Abstract This study empirically investigates the adoption of Artificial Intelligence-enabled Customer Relationship Management (AI-CRM) systems in Business-to-Business (B2B) marketing, focusing on key determinants, implementation outcomes, and performance effects. Based on theoretical integration of the Technology Acceptance Model (TAM) and the Resource-Based View (RBV), structural relationships among technology readiness, perceived usefulness, behavioural intention, and B2B marketing performance are tested. Data were collected from B2B firms implementing AI-CRM solutions and analyzed using structural equation modeling (SEM). Keywords Artificial Intelligence; AI-Enabled CRM; B2B Marketing; Technology Adoption; Marketing Performance

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green