An Extended Neural Network-Based Importance-Performance Analysis for Enhancing Wine Fair Experience

Journal of Travel and Tourism Marketing

Volumn 29, Issue 8, 2012, Pages 744-759

  Mikulić, Josip ^a   Paunović, Zoran ^b   Prebežac, Darko ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

^b Managing Director and Partner with Vinart Ltd in Zagreb   (Croatia)

Author keywords

attribute importance; importance performance analysis; neural networks; Visitor and exhibitor satisfaction; wine fair

Indexed keywords

EID: 84870576719     PISSN: 10548408     EISSN: None     Source Type: Journal    
DOI: 10.1080/10548408.2012.730936     Document Type: Article

References (55)

1. Aigbedo, H. and Parameswaran, R. 2004. Importance-performance analysis for improving quality of campus food service. International Journal of Quality & Reliability Management, 21(8): 876-896.
2. Back, K. J. 2012. Impact-range performance analysis and asymmetry analysis for improving quality of Korean food attributes. International Journal of Hospitality Management, 31(2): 535-543.
3. Breiter, D. and Milman, A. 2006. Attendees' needs and services priorities in a large convention centre: Application of the importance-performance theory. Tourism Management, 27(6): 1364-1370.
4. Breiter, D. and Milman, A. 2007. Predicting exhibitor levels of satisfaction in a large convention center. Event Management, 10(2): 133-143.
5. Broyden, C. G., Dennis, J. E. and More, J. J. 1973. On the local and superlinear convergence of quasi-Newton methods. IMA Journal of Applied Mathematics, 12(3): 223-246.
6. Bruyere, B. L., Rodriguez, D. A. and Vaske, J. J. 2002. Enhancing importance-performance analysis through segmentation. Journal of Travel & Tourism Marketing, 12(1): 81-95.
7. Coghlan, A. 2012. Facilitating reef tourism management through an innovative importance-performance analysis method. Tourism Management, 33(4): 767-775.
8. Crotts, J. C, Pan, B. and Raschid, A. E. 2008. A survey method for identifying key drivers of guest delight. International Journal of Contemporary Hospitality Management, 20(4): 462-470.
9. Davidson, R. and Rogers, T. 2006. Marketing destinations and venues for conferences, conventions and business events, New York, NY: Butterworth-Heinemann.
10. Deng, W. J., Chen, W. C. and Pei, W. 2008. Back-propagation neural network based importance-performance analysis for determining critical service attributes. Expert Systems with Applications, 34(2): 1115-1125.
11. Detienne, K. B., Detienne, D. H. and Joshi, S. A. 2003. Neural networks as statistical tools for business researchers. Organizational Research Methods, 6(2): 236-265.
12. Dolinsky, A. L. 1991. Considering the competition in strategy development: An extension of importance-performance analysis. Journal of Health Care Marketing, 11(1): 31-36.
13. Duke, C. R. and Persia, M. A. 1996. Performance-importance analysis of escorted tour evaluations. Journal of Travel & Tourism Marketing, 5(3): 207-223.
14. Dwyer, L., Knežević Cvelbar, L., Edwards, D. and Mihalić, T. 2012. Fashioning a destination tourism future: The case of Slovenia. Tourism Management, 33(2): 305-316.
15. Evans, M. R. and Chon, K. 1989. Formulating and evaluating tourism policy using importance-performance analysis. Hospitality Education and Research Journal, 13(3): 203-213.
16. Garson, G. D. 1991. Interpreting neural-network connection weights. AI Expert, 6(4): 47-51.
17. Getz, D. 2008. Event tourism: Definition, evolution, and research. Tourism Management, 29(3): 403-428.
18. Go, F. and Zhang, W. 1997. Applying importance-performance analysis to Beijing as an international meeting destination. Journal of Travel Research, 35(4): 42-49.
19. Goeldner, C. and Ritchie, B. 2006. Tourism principles, practices, philosophies, New York, NY: John Wiley.
20. Hawes, J. M. and Rao, C. P. 1985. Using importance-performance analysis to develop health care marketing strategies. Journal of Health Care Marketing, 5(4): 19-25.
21. Haykin, S. 1999. Neural networks: A comprehensive foundation, New York, NY: Prentice Hall.
22. Hu, H. Y., Lee, Y. C., Yen, T. M. and Tsai, C. H. 2009. Using BPNN and DEMATEL to modify importance-performance analysis model: A study of the computer industry. Expert Systems with Applications, 36(6): 9969-9979.
23. Hudson, S. and Shephard, G. W. H. 1998. Measuring service quality at tourist destinations: An application of importance-performance analysis to an alpine ski resort. Journal of Travel & Tourism Marketing, 7(3): 61-77.
24. Johnston, R. 1995. The zone of tolerance: Exploring the relationship between service transactions and satisfaction with the overall service. International Journal of Service Industry Management, 6(2): 46-61.
25. Joppe, J., Martin, D. W. and Waalen, J. 2001. Toronto's image as a destination: A comparative importance-satisfaction analysis by origin of visitor. Journal of Travel Research, 39(3): 252-260.
26. Karlaftis, M. G. and Vlahogianni, E. I. 2011. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights. Transportation Research Part C, 19(3): 387-399.
27. Keyt, J. C., Yavas, U. and Riecken, G. 1994. Importance-performance analysis: A case study in restaurant positioning. International Journal of Retail & Distribution Management, 22(5): 35-40.
28. Martilla, J. A. and James, J. C. 1977. Importance-performance analysis. Journal of Marketing, 41(1): 77-99.
29. Matzler, K., Fuchs, M. and Schubert, A. K. 2004. Employee satisfaction: Does Kano's model apply?. Total Quality Management and Business Excellence, 15(9): 1179-1198.
30. Medsker, L. and Liebowitz, J. 1994. Design and development of expert systems and neural networks, New York, NY: Macmillan.
31. Mikulić, J. and Prebežac, D. 2008. Prioritizing improvement of service attributes using impact range-performance analysis and impact-asymmetry analysis. Managing Service Quality, 18(6): 559-576.
32. Mikulić, J. and Prebežac, D. 2009. "Developing service improvement strategies under consideration of multicollinearity and asymmetries in loyalty intentions-A study from the airline industry". In QUIS 11: Moving forward with service quality, Edited by: Stauss, B., Brown, S. W., Edvardsson, B. and Johnston, R. 414-423. Wolfsburg, Germany: Ingolstadt School of Management.
33. Mikulić, J. and Prebežac, D. 2011a. Evaluating hotel animation programs at Mediterranean sun and sea resorts: An impact-asymmetry analysis. Tourism Management, 32(3): 688-696.
34. Mikulić, J. and Prebežac, D. 2011b. Rethinking the importance grid as a research tool for quality managers. Total Quality Management & Business Excellence, 22(9): 993-1006.
35. Mikulić, J. and Prebežac, D. 2012. Accounting for dynamics in attribute-importance and for competitor performance to enhance reliability of BPNN-based importance-performance analysis. Expert Systems with Applications, 39(5): 5144-5153.
36. Myers, J. H. and Alpert, M. I. 1968. Determinant buying attitudes: Meaning and measurement. Journal of Marketing, 32(4): 13-20.
37. Myers, J. H. and Alpert, M. I. 1977. Semantic confusion in attitude research: Salience vs. importance vs. determinance. Advances in Consumer Research, 4: 106-110.
38. Oh, H. 2001. Revisiting importance-performance analysis. Tourism Management, 22(6): 617-627.
39. Olden, J. D. and Jackson, D. A. 2002. Illuminating the black box: A randomization approach for understanding variable contributions in artificial neural networks. Ecological Modelling, 154(1-2): 135-150.
40. O'Leary, S. and Deegan, J. 2005. Ireland's image as a tourism destination in France: Attribute importance and performance. Journal of Travel Research, 43(3): 247-256.
41. Prentice, R. and Andersen, V. 2003. Festival as creative destination. Annals of Tourism Research, 30(1): 7-30.
42. Smith, M. 1996. Neural networks for statistical modeling, Boston, MA: International Thomson Computer Press.
43. Soetanto, R., Proverbs, D. G. and Holt, G. D. 2001. Achieving quality construction projects based on harmonious working relationships: Clients' and architects' perceptions of contractor performance. International Journal of Quality & Reliability Management, 18(5): 528-548.
44. SPSS, Inc. 2009. SPSS neural networks™ 17.0, Chicago, IL: Author.
45. StatSoft, Inc. 2007. New features in Statistica 8, Tulsa, OK: Author.
46. Sung, A. H. 1998. Ranking importance of input parameters of neural networks. Expert Systems with Applications, 15(3-4): 405-411.
47. Taplin, R. H. 2011. The value of self-stated attribute importance to overall satisfaction. Tourism Management, 33(2): 295-304. doi:10.1016/j.tourman.2011.03.008
48. Tontini, G. and Silveira, A. 2007. Identification of satisfaction attributes using competitive analysis of the improvement gap. International Journal of Operations & Production Management, 27(5): 482-500.
49. Tsaur, S. H., Chiu, Y. C. and Huang, C. H. 2002. Determinants of guest loyalty to international tourist hotels: A neural network approach. Tourism Management, 23(4): 397-405.
50. Van Ittersum, K., Pennings, J. M. E., Wansink, B. and van Trijp, H. C. M. 2007. The validity of attribute-importance measurement: A review. Journal of Business Research, 60(11): 1177-1190.
51. Veres, D., Clark, H. and Golbourne, D. 2008. Increasing the contribution of special events to Niagara's tourism industry. International Journal of Contemporary Hospitality Management, 30(3): 313-319.
52. Whitfield, J. and Webber, D. J. 2011. Which exhibition attributes create repeat visitation?. International Journal of Hospitality Management, 30(2): 439-447.
53. Yavas, U. and Shemwell, D. 2001. Modified importance-performance analysis: An application to hospitals. International Journal of Health Care Quality Assurance, 14(3): 30-37.
54. Yonge, C. D. 1854. The deipnosophists or banquet of the learned of Athenaeus, London, United Kingdom: Henry G. Bohn.
55. Zhang, H. Q. and Chow, I. 2004. Application of importance-performance model in tour guides' performance: Evidence from mainland Chinese outbound visitors in Hong Kong. Tourism Management, 25(1): 81-91.