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Customer adoption of artificial intelligence in healthcare: An empirical investigation based on multiple samples

Ajay Kumar et al.

Health Marketing Quarterly2025https://doi.org/10.1080/07359683.2025.2504811article
AJG 1ABDC B
Weight
0.41

Abstract

Healthcare workers are facing unprecedented work pressure due to the workload owing to the increase in lifestyle diseases. Artificial Intelligence (AI) is coming to help the healthcare industry by complementing healthcare workers. AI is finding applications in various domains of healthcare. Customer adoption of AI is one of the critical elements of the success of AI implementation in healthcare. The authors are trying to determine the essential factors affecting customer adoption of AI in healthcare. The authors have developed a conceptual framework for customer adoption of AI in healthcare using the Unified Theory of Acceptance and Use of Technology (UTAUT), privacy concerns, creepiness, and trust to build a framework that addresses the new aspect of AI-based solutions adoption. Structural Equation Modelling (SEM) and Multi-group Analysis (MGA) were used for data analysis. Performance expectancy, privacy concerns, trust, and social influence were the essential factors affecting customer adoption of AI in healthcare.

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https://doi.org/https://doi.org/10.1080/07359683.2025.2504811

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@article{ajay2025,
  title        = {{Customer adoption of artificial intelligence in healthcare: An empirical investigation based on multiple samples}},
  author       = {Ajay Kumar et al.},
  journal      = {Health Marketing Quarterly},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/07359683.2025.2504811},
}

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Customer adoption of artificial intelligence in healthcare: An empirical investigation based on multiple samples

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.