Perceptions of Artificial Intelligence Among IT Professionals: Exploring Job Opportunities, Threats, and the Moderating Role of Technology Literacy

Article Sidebar

Page Numbers: 222-241
Download PDF
Published: Feb 1, 2025
Digital Object Identifier: 10.58578/ijemt.v3i1.4852
Save this to:
Save to Mendeley Download RIS

Article Metrics:
Viewed: 596 times
Downloaded: 271 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (USD 0.00)
Check for article on SINTA:

LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers

Connected Papers:
Connected Papers

Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.

Authors:
Sajita Khadka1, Sanjeev Kunwar2, Roshni Gautam3, Santosh Poudel4, Sijan Khadka5, Rashil Manandhar6, Dipak Mahat7*
Copyright :

Authors retain copyright and grant the journal right of first publication.


Main Article Content

Sajita Khadka
Shanker Dev Campus, Tribhuvan University, Nepal
Sanjeev Kunwar
Shanker Dev Campus, Tribhuvan University, Nepal
Roshni Gautam
Shanker Dev Campus, Tribhuvan University, Nepal
Santosh Poudel
Shanker Dev Campus, Tribhuvan University, Nepal
Sijan Khadka
Shanker Dev Campus, Tribhuvan University, Nepal
Rashil Manandhar
Shanker Dev Campus, Tribhuvan University, Nepal
Dipak Mahat
Apex Professional University, India

Abstract

Artificial Intelligence (AI) is transforming industries worldwide, creating both opportunities and challenges for IT professionals. This study examines the perceptions of AI among IT professionals in Kathmandu, focusing on job opportunities, threats, and the moderating role of Technology Literacy (TL). The research adopts a descriptive and causal-comparative design within the positivist paradigm, emphasizing measurable and objective data. A structured questionnaire with a 5-point Likert scale was distributed via Google Forms to 128 IT professionals in Kathmandu. Descriptive statistics indicated that IT professionals generally have a moderate level of Technology Literacy (mean scores ranging from 2.39 to 2.78). AI was perceived favorably, with mean scores between 3.02 and 3.39. However, perceived threats from AI were moderate (mean scores from 2.33 to 2.60), suggesting concerns about job security. Perceived opportunities were also moderate (mean scores between 2.38 and 2.81), indicating a balanced view of AI’s potential benefits and risks. Correlation and regression analyses revealed that Technology Literacy significantly moderates the relationship between AI and job opportunities, as well as AI and threats, suggesting that higher TL mitigates fears and enhances positive perceptions of AI. The study highlights the dual impact of AI on IT professionals, with both opportunities and threats being perceived at moderate levels. Technology Literacy plays a crucial role in shaping these perceptions, underscoring the need for continuous learning and adaptation in the IT sector.

Keywords:
Share Article:

Citation Metrics:

 Scopus



Downloads

Download data is not yet available.

Scopus Citation Data

Data source Crossref
2
citations
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Citing Documents
Crossref
  1. Ning Ding, Maowei Chen, Liling Hu (2025)
    The design industry in the AI era: How AI awareness and AI literacy influence the innovative work behavior of Chinese Generation Y designers
    Acta Psychologica, 260, 105650
  2. Ning Ding, Maowei Chen, Liling Hu (2025)
    The impact of personality traits and AI literacy on the adoption intentions of AI among design faculty in Chinese higher education
    Acta Psychologica, 260, 105709
Similar Scopus Articles
Scopus
  1. Miyazono S. (2027)
    Improved Efficiency and Lesion Detection in Small Bowel Capsule Endoscopy Using the Open-Source Artificial Intelligence Model SEE-AI
    Den Open, 7(1)
  2. Toth E. (2027)
    Open-Source Artificial Intelligence in Small-Bowel Capsule Endoscopy—Visual Assistance is Promising, But Not Yet a Standard of Care
    Den Open, 7(1)
  3. Hémono P. (2027)
    Automatic behavior tree generation for enhanced human–robot collaborative task planning in industry 5.0: A systematic review
    Robotics and Computer Integrated Manufacturing, 103

Article Details

How to Cite
Khadka, S., Kunwar, S., Gautam, R., Poudel, S., Khadka, S., Manandhar, R., & Mahat, D. (2025). Perceptions of Artificial Intelligence Among IT Professionals: Exploring Job Opportunities, Threats, and the Moderating Role of Technology Literacy. International Journal of Education, Management, and Technology, 3(1), 222-241. https://doi.org/10.58578/ijemt.v3i1.4852

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Acharya, S., Shrestha, S. K., Neupane, D., & Mahat, D. (2024). Exploring Green Finance Practices for Advancing Sustainable Development in Nepalese Banking Sector. NPRC Journal of Multidisciplinary Research, 1(8), 23-34. Retrieved from https://doi.org/10.3126/nprcjmr.v1i8.73024

Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries. OECD Social, Employment, and Migration Working Papers.

Autor, D. H. (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), 3–30.

Bessen, J. E. (2019). AI and Jobs: The Role of Demand. NBER Working Paper No. 24235.

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

Chaudhary, V., & Tyagi, S. (2018). A Study of the Impact of Artificial Intelligence on the Job Market. A Study of the Impact of Artificial Intelligence on the Job Market, 61-54.

Didem Özkiziltan, A. H. (January 2021). Artificial Intelligence at Work: An Overview of the Literature. SSRN Electronic Journal., 100-104.

Frey, C. B., & Osborne, M. A. (2017). The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254–280.

Mahat, D. (2023). Technology Adoption and Teaching performance:“A Moderating Role for Age. International Journal of Contemporary Sciences, 1(1), 45-58. Retrieved from https://doi.org/10.55927/ijcs.v1i1.8256

Mahat, D., & Aithal, P. S. (2022). Women’s articulates towards career advancement. International Journal of Management, Technology, and Social Sciences, 7(1), 417-424. Retrieved from https://doi.org/10.5281/zenodo.6640891

Mahat, D., & Mathema, S. (2018). Gender Perspective on Compensation of Health Institution in Ramechhap District of Nepal. Nepal Journal of Multidisciplinary Research, 1(1), 30-40.

Manish Verma, J. K. (july-December 2019). A Study of the Impact of Artificial Intelligence on the Job Market. International Advance Journal of Engineering, Science, and Management (IAJESM), 166-169.

McAfee, b. &. (2014). job oppoetunities.

Mishra, S., Mahat, D., & Khanal, L. (2021). Employees Respect and Job satisfaction in Nepalese Private College. Nepal Journal of Multidisciplinary Research, 4(4), 45-52.

Parajuli, S. K., Mahat, D., & Lingden, B. (2022). Organization Learning, Dissemination of Knowledge and Organizational Performance in Nepalese Banking Sectors. Nepal Journal of Multidisciplinary Research, 5(5), 75-85. Retrieved from https://doi.org/10.3126/njmr.v5i5.51806

Salau, A., Demilie, W. B., Akindadel, A., & Nnenna, J. (2022). Artificial Intelligence Technologies: Applications, Threats, and Future Oppurtunities. Artificial Intelligence Technologies: Applications, Threats, and Future Oppurtunities, 115-124.

Shrestha, I., Pun, D., Basnet, I., Koirala, K., & Mahat, D. (2025). Adolescents in the Gaming Zone: A Study on Depression, Anxiety, Loneliness. International Journal of Applied Educational Research, 2(6), 439-454.

Wang, F., Hu, M., & Zhu, M. (2020). The impact of artificial intelligence on future employment: Threat or opportunity. Springer Nature Link, 12199, 296-308. doi:https://doi.org/10.1007/978-3-030-49907-5_21

Zirar, A., Ali, S. I., & Islam, N. (2023). How workers will coexist with AI in workplaces: Themes and research agenda. ResearchGate, 124, 102747. doi: https://doi.org/10.1016/j.technovation.2023.102747


Explore Our Journals
Find the most suitable journal for your research. If this journal does not fully align with the scope of your manuscript, we invite you to explore our wider portfolio of journals covering diverse fields of study. Please select one of the journals below to identify the most appropriate publication platform for your work.