Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model
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The purpose of the present study was to assess acceptance of Artificial Intelligence Application in the Post-covid Era and its impact of faculty members’ occupational well-being and teaching self efficacy using The UTAUT 2 Model. This study used a quantitative, non-experimental survey design to answer the research questions and study the relationships between the independent variables of performance expectancy, effort expectancy, social faculty members’ occupational well-being and teaching self efficacy. Faculty members from Umm AL-Qura University were targeted. An online questionnaire was used to collect data via Facebook and WhatsApp groups. I received a total of 350 questionnaire responses. They were 200 males(57.1%), and 150 females(42.9%). In confirmation of the research results, there is a significant positive relationship (p < .001) between occupational well-being (OWB)and teaching self efficacy(TSE) and performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), price value (PV), and habit (HB), indicating that faculty members are influenced by the constructs established in the UTAUT2 model in the adoption of AI.
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The study on 350 Saudi Arabian faculty members found a significant positive relationship between the constructs of the updated unified theory of acceptance and use of technology.
“The study on 350 Saudi Arabian faculty members found a significant positive relationship between the constructs of the updated unified theory of acceptance and use of technology.”
From A systematic literature review of attitudes, intentions and behaviours of teaching academics pertaining to AI and generative AI (GenAI) in higher education: An analysis of GenAI adoption using the UTAUT framework (2024) · cites this paper as Alhwaiti et al., 2023
All three studies found a significant positive relationship between the constructs of UTAUT and AI adoption.
“All three studies found a significant positive relationship between the constructs of UTAUT and AI adoption.”
Three AI studies invoked the UTAUT framework developed by Venkatesh et al. (2003).
“Three AI studies (Ahmad et al., 2023; Alhwaiti, 2023; Al-Riyami et al., 2023) invoked the UTAUT framework developed by Venkatesh et al. (2003).”
Alhwaiti et al. (2023) used the updated UTAUT2 model, which also explores hedonic motivation, price value and habit.
“Alhwaiti et al. (2023) used the updated UTAUT2 model, which also explores hedonic motivation, price value and habit.”
From A systematic literature review of attitudes, intentions and behaviours of teaching academics pertaining to AI and generative AI (GenAI) in higher education: An analysis of GenAI adoption using the UTAUT framework (2024) · cites this paper as Alhwaiti et al., 2023
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- Authors
- Alhwaiti, M.
- Affiliations
- Umm al-Qura University (SA)
- Corresponding author
- Alhwaiti, Mohammed
- ORCID
- Alhwaiti, Mohammed
- Venue
- Applied Artificial Intelligence
- Publisher
- Informa UK Limited
- Published
- 2023-02-22
- Volume
- 37
- Issue
- 1
- ISSN
- 0883-9514 (ISSN-L)
- 1087-6545
- OpenAlex
- W4321494359
- Cited by
- 105
- References
- 59
- Citations by year
- 2026: 27 · 2025: 36 · 2024: 31 · 2023: 11
- FWCI
- 26.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Artificial Intelligence (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
- Keywords
- artificial intelligence adoption, technology acceptance, UTAUT2 model, employee well-being, teacher self-efficacy, university faculty, higher education, post-COVID era, performance expectancy, effort expectancy, social influence, facilitating conditions, price value, habit
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