Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach

Sheshadri Chatterjee, Nripendra P. Rana*, Sangeeta Khorana, Patrick Mikalef, Anuj Sharma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper tests the meta-analysis based unified theory of acceptance and use of technology (meta-UTAUT) model to predict the behavioral intentions of organizational users and their use behavior to artificial intelligence (AI) integrated customer relationship management (CRM) systems. Data was collected from 315 organizational users in India. The hypotheses draw on the theoretical underpinnings which have been statistically validated. Results show that CRM quality and satisfaction significantly influences an organization’s employees attitudes and intentions to use AI integrated CRM systems. The compatibility of CRM systems has, however, a limited impact on employees attitudes. The findings, which are aligned with the extended UTAUT model, provide useful insights into organizations and decision-makers for designing AI integrated CRM systems.

Original languageEnglish
Pages (from-to)1299-1313
Number of pages15
JournalInformation Systems Frontiers
Volume25
Issue number4
Early online date13 Aug 2021
DOIs
Publication statusPublished - Aug 2023

Keywords

  • AI-CRM
  • CRM Quality
  • CRM satisfaction
  • Meta-UTAUT
  • User behavior

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