Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling
Generative AI (GenAI) chatbots, driven by advanced machine learning algorithms, are emerging as transformative tools for enhancing patient education, information dissemination, and counseling (EIC) in healthcare. This study investigated the psychological determinants of community pharmacists' i...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Neuroscience Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528625000287 |
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| author | Hafidz Ihsan Hidayatullah Muhammad Taufiq Saifullah Muhammad Thesa Ghozali Ayesha Aziz |
| author_facet | Hafidz Ihsan Hidayatullah Muhammad Taufiq Saifullah Muhammad Thesa Ghozali Ayesha Aziz |
| author_sort | Hafidz Ihsan Hidayatullah |
| collection | DOAJ |
| description | Generative AI (GenAI) chatbots, driven by advanced machine learning algorithms, are emerging as transformative tools for enhancing patient education, information dissemination, and counseling (EIC) in healthcare. This study investigated the psychological determinants of community pharmacists' intentions to adopt GenAI chatbots using the Extended Technology Acceptance Model (ETAM). A cross-sectional survey of 240 licensed community pharmacists across several Indonesian provinces assessed key constructs, including self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEU), attitude toward technology (ATT), trust (TT), and behavioral intention (BI). Structural equation modeling revealed that SE significantly influenced PU (β=0.37) and PEU (β=0.57), indicating that confidence in using technology positively affects perceived utility and usability. PU further predicted ATT (β=0.39) and BI (β=0.236), emphasizing the motivational role of perceived benefits. Trust emerged as a crucial mediator, channeling favorable attitudes into actionable behavioral intentions (indirect β=0.148). The model demonstrated strong fit indices (χ2=263.09, RMSEA = 0.019, GFI = 0.915, CFI = 0.991), supporting the psychological framework. These findings highlight the importance of fostering trust, improving perceived usability, and enhancing self-efficacy through targeted training to promote GenAI chatbot adoption. Future research should explore longitudinal behavioral changes and contextual influences to support sustainable AI integration in pharmacy practice. |
| format | Article |
| id | doaj-art-364d012122ca4bbfaec6ccfef0fd4268 |
| institution | Kabale University |
| issn | 2772-5286 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroscience Informatics |
| spelling | doaj-art-364d012122ca4bbfaec6ccfef0fd42682025-08-22T04:58:46ZengElsevierNeuroscience Informatics2772-52862025-09-015310021310.1016/j.neuri.2025.100213Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counselingHafidz Ihsan Hidayatullah0Muhammad Taufiq Saifullah1Muhammad Thesa Ghozali2Ayesha Aziz3Pharmacist Professional Education Program, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, IndonesiaPharmacist Professional Education Program, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, IndonesiaSchool of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, Indonesia; Corresponding author.Department of Psychology, Forman Christian College University Lahore, PakistanGenerative AI (GenAI) chatbots, driven by advanced machine learning algorithms, are emerging as transformative tools for enhancing patient education, information dissemination, and counseling (EIC) in healthcare. This study investigated the psychological determinants of community pharmacists' intentions to adopt GenAI chatbots using the Extended Technology Acceptance Model (ETAM). A cross-sectional survey of 240 licensed community pharmacists across several Indonesian provinces assessed key constructs, including self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEU), attitude toward technology (ATT), trust (TT), and behavioral intention (BI). Structural equation modeling revealed that SE significantly influenced PU (β=0.37) and PEU (β=0.57), indicating that confidence in using technology positively affects perceived utility and usability. PU further predicted ATT (β=0.39) and BI (β=0.236), emphasizing the motivational role of perceived benefits. Trust emerged as a crucial mediator, channeling favorable attitudes into actionable behavioral intentions (indirect β=0.148). The model demonstrated strong fit indices (χ2=263.09, RMSEA = 0.019, GFI = 0.915, CFI = 0.991), supporting the psychological framework. These findings highlight the importance of fostering trust, improving perceived usability, and enhancing self-efficacy through targeted training to promote GenAI chatbot adoption. Future research should explore longitudinal behavioral changes and contextual influences to support sustainable AI integration in pharmacy practice.http://www.sciencedirect.com/science/article/pii/S2772528625000287Artificial intelligenceCommunal pharmacySocial intentionProcreative AITechnology acceptance |
| spellingShingle | Hafidz Ihsan Hidayatullah Muhammad Taufiq Saifullah Muhammad Thesa Ghozali Ayesha Aziz Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling Neuroscience Informatics Artificial intelligence Communal pharmacy Social intention Procreative AI Technology acceptance |
| title | Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling |
| title_full | Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling |
| title_fullStr | Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling |
| title_full_unstemmed | Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling |
| title_short | Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling |
| title_sort | exploring community pharmacist s psychological intentions to adopt generative artificial intelligence genai chatbots for patient information education and counseling |
| topic | Artificial intelligence Communal pharmacy Social intention Procreative AI Technology acceptance |
| url | http://www.sciencedirect.com/science/article/pii/S2772528625000287 |
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