
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 7 Issue 3
May-June 2025
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The Acceptance Level of AI-Based Research Technologies Among Faculty Members in Private Universities: A TAM- Based Study
Author(s) | Dr. Sami Khatar AL Mazruii, Mr. Hajar Mohammed AL hosni, Dr. Hamed Hilal ALYahmadi |
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Country | Oman |
Abstract | This study examines the acceptance of artificial intelligence (AI)-powered research technologies among faculty members in private universities in Oman through the Technology Acceptance Model (TAM). Using sequential explanatory mixed-methods design with 46 faculty participants, findings reveal high overall acceptance of AI research technologies. perceived usefulness, perceived ease of use, attitude toward use, intention to use, and actual use. Based on the survey data analysis, it was demonstrated that the respondents were more likely to consider AI powerful and useful for sophisticated research as evidenced by the highest mean score of 4.39 for perceived usefulness, indicating a strong belief among faculty members that AI enhances research quality and provides advanced solutions. This finding was corroborated by interview data, where participants emphasized the benefits of tools such as ChatGPT and Perplexity AI in expediting research preparation, improving academic writing, and generating innovative research ideas. Attitude toward future use ranked second (mean = 4.31), reflecting a generally positive outlook on adopting AI tools. Behavioral intention to use AI came in third (mean = 4.30), indicating readiness to integrate these technologies into future research activities. Actual use was also evident (mean = 4.04), with interviews noting applications in hypothetical formulation, data analysis, and reference management. Despite last ranking, perceived ease of use still fell within the “high” range (mean = 3.94), suggesting general confidence in interacting with AI tools, albeit with some usability challenges. Based on these insights, the study recommends developing effective strategies to encourage the integration of AI technologies in academic research. |
Keywords | Artificial Intelligence, Technology Acceptance Model, Academic Research, Higher Education, Private Universities, Oman |
Field | Sociology > Education |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-06-15 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.48312 |
Short DOI | https://doi.org/g9qqt9 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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