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Haya Ajjan

Associate Professor
Management and Entrepreneurship
Elon University
United States of America

Biography

Haya Ajjan, Associate Professor of Management Information Systems, teaches data analytics and information systems courses in Elon’s undergraduate business and MBA programs. Dr. Ajjan has started the Center for Organizational Analytics at Elon University and was instrumental in developing the curriculum for M.S. in Management concentration in Organizational Analytics. She earned her MBA and PhD from the University of North Carolina at Charlotte’s Belk College of Business. Her research focuses on better understanding the impact of technology use on individuals, groups, and organizations. Dr. Ajjan research articles have appeared in national and international journals, such as Behaviour & Information Technology, British Journal of Educational Technology, the Journal of Marketing Theory and Practice, Journal of Enterprise Information Management. Additionally, she has presented at numerous national and international conferences, such as International Conference on Information Systems, Academy of Management, Academy of Marketing Science, and the American Conference on Information Systems.

Research Interest

data analytics and information systems courses and MBA programs

Publications

  • Cao, Y., Ajjan, H., & Hong, P. (2013). Using social media applications for educational outcomes in college teaching: A structural equation analysis. British Journal of Educational Technology, 44(4), 581-593.

  • Kumar, R., Ajjan, H., & Niu, Y. (2009). Information Technology Portfolio Management: Literature Review, Framework, and. Global, Social, and Organizational Implications of Emerging Information Resources Management: Concepts and Applications: Concepts and Applications, 446.

  • Hartshorne, R., & Ajjan, H. (2009). Examining student decisions to adopt Web 2.0 technologies: theory and empirical tests. Journal of computing in higher education, 21(3), 183.

  • Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The internet and higher education, 11(2), 71-80.

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