Faculty Img
  • Phone:

  • Email:

    yalnsour@pmu.edu.sa

  • Office No:

    S081

  • Yazan Alnsour

  • Job Title :

    Assistant Professor

  • College :

    College of Business Administration


  • Department :

    Management Information Systems


Dr. Alnsour is a faculty member specializing in Data and Business Analytics at the College of Business and Administration.

PhD in Information Systems from University of Colorado

Alnsour, Y. (2026). AI-Powered Chatbots as Emotion-Aware Virtual Assistants: Enhancing Student Support and Engagement in Higher Education. The 16th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications.

Alnsour, Y., Hadidi, R., & Singh, N. (2019). Using data analytics to predict hospital mortality in sepsis patients. International Journal of Healthcare Information Systems and Informatics.

Juma’h, A. H., & Alnsour, Y. (2020). The effect of data breaches on company performance. International Journal of Accounting and Information Management, 28(2).

Juma’ha, A. H., & Alnsour, Y. (2018). Using social media analytics: The effect of President Trump’s tweets on companies’ performance. Journal of Accounting and Management Information Systems, 17(1), 100–121.

Juma'h, A. H., & Alnsour, Y. (2021). How do investors perceive the materiality of data security incidents? Journal of Global Information Management, 29(6), 1–32.

Alnsour, Y., Johnson, M., Albizri, A., & Harfouche, A. H. (2023). Predicting patient length of stay using artificial intelligence to assist healthcare professionals in resource planning and scheduling decisions. Journal of Global Information Management, 31(1), 1–14.

Gholami, R., Emrouznejad, A., Alnsour, Y., Kartal, H. B., & Veselova, J. (2020). The impact of smart meter installation on attitude change towards energy consumption behavior among Northern Ireland households. Journal of Global Information Management, 28(4), 21–37.

J h, A., Alnsour, Y., & Kartal, H. (2025). The impact of security and privacy perceptions on cryptocurrency app evaluations: A text mining study. Investment Management and Financial Innovations, 22(1), 173–187.

Alnsour, Y., & Juma’h, A. H. (2024). The effects of reviewers’ security and privacy perceptions on FinApps performance: A textual analysis.

Alnsour, Y., & Jumah, A. (2021). Exploring the effects of information security and privacy on blockchain mobile applications rating: Text analytics approach. Americas Conference on Information Systems (AMCIS) Proceedings.

Jumah, A., & Alnsour, Y. (2019). Exploring the characteristics of financial reports of companies adopting blockchain: Text analytics approach. AMCIS 2019 Proceedings.

Al-Batah, M. S., Al-Eiadeh, M. R., & Alnsour, Y. (2025). A novel approach for enhancing plant leaf classification with the binary cuckoo search algorithm. Applied Computational Intelligence and Soft Computing, 2025(1), 7696962.

Alnsour, Y., & Juma'h, A. (2021). Analytical study of the COVID apps users' perception about data security and privacy.

The Association of Information Systems

Adjunct Faculty, University of Denver

Assistant Professor, University of Northern Colorado

Assistant Professor, University of Illinois

Python programming

Database systems

Business analytics

Data analytics

Data and Business Analytics
AI business value and applications
AI sustainability
Information security