Hospitality & Tourism Management

Muzaffer Uysal

Professor

Uysal

 

Office: 355 Wallace Hall

Phone: (540)231-8426

Email: samil@vt.edu

Courses: HTM 2454 (SP06, SS106), HTM 2954 (SS106)

VITA

Education

Ph.D., Texas A&M University
MBA, University of New Haven
BS, Academy of Economics and Commercial Sciences

Research Interests

Tourism demand/supply interaction, tourism marketing and international tourism.
Serve as Co-Editor for Tourism Analysis: An Interdisciplinary Journal and Advances in Tourism Application

Teaching Interests

Travel and Tourism Management (HTM 2454)
Tourism Analysis (HTM 3454)
Attraction Management (HTM 4984)
Current Issues in Travel and Tourism (HTM 5614)

Selected Publications

Yoon, Y. and M. Uysal. (2005). An Examination of the Effects of Motivation and Satisfaction on Destination Loyalty. Tourism Management. Volume 26, Number 1, pp. 45-56.

Uysal, M. and J. Williams. (2004). The Role of Expressive and Instrumental Factors in Measuring Satisfaction in Consumer Psychology of Tourism, Hospitality and Leisure, edited by Grouch, G., Perdue, R., and H. Timmermans, M. Uysal. CABI Publishing, London, pp. 227-235.

Uysal, M. and F. Noe. (2003). Satisfaction in Outdoor Recreation and Tourism Settings. Case Studies in Tourism Marketing, edited by Eric Laws. Continuum Publisher. London, pp. 144-158.

Uysal, M. (2004). Advancement in Computing: Implications for Tourism and Hospitality. Scandinavian Journal of Tourism and Hospitality. Volume 4, No 3, pp. 208-224.

Neal, J. Sirgy, J. and M. Uysal. (2004). Measuring the Effect of Tourism Services on Travelers’ Quality-of-Life; Further Validation. Journal of Social Indicators. Volume 69, Number 3, pp. 243-249.

Chen, J. and M. Uysal. (2002). Market Positioning Analysis: A Hybrid Approach. Annals of Tourism Research. Volume 29, Number 4, pp. 987-1003.

Uysal, M., J. Chen, and D.Williams. (2000). Increasing State Market Share through a Regional Positioning. Tourism Management. Volume 21, Number 1, pp. 89-96.

Uysal, M. and S. El Roubi. (1999). Artificial Neural Networks vs Multiple Regression in Tourism Demand Analysis. Journal of Travel Research . Volume 38, Number 2, pp. 111-118.