Using dummy regression to explore asymmetric effects in tourist satisfaction: A cautionary note

Tourism Management

Volumn 33, Issue 3, 2012, Pages 713-716

  Mikulić, Josip ^a   Prebežac, Darko ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Asymmetric effects; Dummy regression; Penalty reward contrast analysis; Three factor theory; Tourist satisfaction

Indexed keywords

ASYMMETRY; EMPIRICAL ANALYSIS; FACTOR ANALYSIS; REGRESSION ANALYSIS; TOURISM ECONOMICS;

EID: 84455191866     PISSN: None     EISSN: 02615177     Source Type: Journal    
DOI: 10.1016/j.tourman.2011.08.005     Document Type: Article

References (22)

1. Alegre J., Garau J. The factor structure of tourist satisfaction at sun and sand destinations. Journal of Travel Research 2011, 50(1):78-86.
2. Bartikowski B., Llosa S. Customer satisfaction measurement: comparing four methods of attribute categorizations. The Service Industries Journal 2004, 24(4):67-82.
3. Bondell H.D., Reich B.J. Simultaneous factor selection and collapsing levels in ANOVA. Biometrics 2009, 65:169-177.
4. Bring J. How to standardize regression coefficients. The American Statistician 1994, 48:209-213.
5. Busacca B., Padula G. Understanding the relationship between attribute performance and overall satisfaction: theory, measurement and implications. Marketing Intelligence & Planning 2005, 23(6):543-561.
6. Fox J. Applied regression analysis, linear models, and related methods 1997, Sage Publications, Thousand Oaks, CA.
7. Fuchs M., Weiermair K. New perspectives on satisfaction research in tourism destinations. Tourism Review 2003, 58(3):6-14.
8. Fuchs M., Weiermair K. Destination benchmarking: an indicator-system's potential for exploring guest satisfaction. Journal of Travel Research 2004, 42:212-225.
9. Füller J., Matzler K. Customer delight and market segmentation: an application of the three-factor theory of customer satisfaction on life style groups. Tourism Management 2008, 29:116-126.
10. Füller J., Matzler K., Faullant R. Asymmetric effects in customer satisfaction. Annals of Tourism Research 2006, 33(4):1159-1163.
11. Greenland S., Schlessman J.J., Criqui M.H. The fallacy of employing standardized regression coefficients and correlations as measures of effect. American Journal of Epidemiology 1986, 123:203-208.
12. Hardy M. Regression with dummy variables 1993, Sage, Newbury Park, CA.
13. Matzler K., Bailom F., Hinterhuber H.H., Renzl B., Pichler J. The asymmetric relationship between attribute level performance and overall customer satisfaction: a reconsideration of the importance-performance analysis. Industrial Marketing Management 2004, 33:271-277.
14. Matzler K., Fuchs M., Schubert A. Employee satisfaction: does Kano's model apply?. Total Quality Management and Business Excellence 2004, 15(9/10):1179-1198.
15. Matzler K., Renzl B. Assessing asymmetric effects in the formation of employee satisfaction. Tourism Management 2007, 28(4):1093-1103.
16. Matzler K., Sauerwein E. The factor structure of customer satisfaction: an empirical test of the importance grid and the penalty-reward-contrast analysis. International Journal of Service Industry Management 2002, 13(4):314-332.
17. Mikulić J., PrebeŽac D. Prioritizing improvement of service attributes using impact range-performance analysis and impact-asymmetry analysis. Managing Service Quality 2008, 18(6):559-576.
18. Mikulić J., PrebeŽac D. Evaluating hotel animation programs at Mediterranean sun and sea resorts: an impact-asymmetry analysis. Tourism Management 2011, 32(3):688-696.
19. Padula G., Busacca B. The asymmetric impact of price-attribute performance on overall price evaluation. International Journal of Service Industry Management 2005, 16(1):28-54.
20. Schroeder L., Sjoquist D., Stephan P. Understanding regression analysis: Anintroductory guide 1986, Sage Publications, Beverly Hills, California.
21. Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B 1996, 58:267-288.
22. Yuan M., Lin Y. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B 2006, 68:49-67.