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Cited by 105Technology Adoption and User BehaviourArtificial Intelligence in EducationTechnostress in Professional Settings

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

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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Alhwaiti, Mohammed·2023·Applied Artificial Intelligence
DOI 10.1080/08839514.2023.2175110
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Abstract

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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Research works printed but not linked: 4

  1. Ekin, C. Ç. 2022. Eğitimde yapay zeka uygulamaları ve zeki öğretim sistemleri [Artificial intelligence applications and smart teaching systems in education]. Eğitimde Dijitalleşme ve Yeni Yaklaşımlar. Istanbul: Efe Akademi Puplication.
  2. 10.3926/jotse.1081 · DOI
  3. Shen, C., and H. Chuang. 2010. Exploring users’ attitudes and intentions toward the interactive whiteboard technology environment. International Review on Computers and Software 5:200–08.
  4. Sucu, İ. 2019. Yapay Zekânın toplum üzerindeki etkisi ve yapay zekâ (AI) filmi bağlamında yapay zekâya bakış [The effect of artifiticial intelligence on society and artificial intelligence the view of artificial intelligence in the context of film (I.A.)]. Uluslar Ders Kitapları Eğitim Materyalleri Derg 2 (2):203–15.

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Metadata

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
DOI
10.1080/08839514.2023.2175110
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
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
  • Social Sciences › Education › 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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