Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kansal, Purva
- Factors Affecting Perception of Value for Money and Customer Satisfaction for Foreign Tourists in Goa
Abstract Views :198 |
PDF Views:0
Authors
Affiliations
1 University Business School, Panjab University, Chandigarh, IN
2 Maharaja Agrasen University, Baddi, Himachal Pradesh, IN
1 University Business School, Panjab University, Chandigarh, IN
2 Maharaja Agrasen University, Baddi, Himachal Pradesh, IN
Source
International Journal of Hospitality and Tourism Systems, Vol 8, No 2 (2015), Pagination: 93-102Abstract
The current study is an attempt to identify the various critical factors that are essential for creating value for money and therefore, customer satisfaction and loyalty. The review of literature indicated a gap in the area of relationship between value for money and customer satisfaction. For this, a study was placed in which a sample of 300 foreign tourists in Goa was taken and a survey was conducted to analyze which factors led to their increase in value for money. It was found that the value for money was affected by both ease of visiting Goa and level of enjoyment experience offered by Goa. Out of these two factors, the level of enjoyment was found to be more significantly and positively affecting the foreign tourist perception of value for money and satisfaction level as compared to the ease of visiting.Keywords
Goa, Value for Money, Foreign Tourists, Structural Equation Modeling, Factor Analysis.- Marketing Woes of Foreign Tourist Segment in Goa:A Study into Satisfaction Discriminators
Abstract Views :197 |
PDF Views:0
The results of the discriminant analysis indicated that three factors were significant predictors of satisfaction in terms of foreign tourist in Goa i.e. experience, hygiene and safety. The results of the study further indicated that there was a need for the Goan Government to make policies specific to experience and quality of experience the destination offers. A dimension wise detailed analysis was also undertaken to help the Goan Government develop specific strategies. The specific targeting strategy would also help the government develop a more effective positioning strategy and basis for performance evaluation. Therefore, the segmentation of the market on basis of psychometric variable will help Goa develop a more effective marketing strategy. However, there is a need to convert these into demographic variables for practical reasons which can be explored as future areas of research.
Authors
Affiliations
1 University Business School, Panjab University, Chandigarh, IN
2 UITHM, Chandigarh University, Chandigarh, IN
1 University Business School, Panjab University, Chandigarh, IN
2 UITHM, Chandigarh University, Chandigarh, IN
Source
International Journal of Hospitality and Tourism Systems, Vol 11, No 1 (2018), Pagination: 67-75Abstract
In recent years rate of domestic tourist to Goa has gone up but not the foreign tourist. This has led to loss of shack culture and gypsy experience being marketed by Goa as destination image. Policy makers have tried to rejuvenate the destination but with little success. One of the explanations to this problem is in a fundamental of marketing which states that Marketing strategies should have their base in segmentation and targeting policies of the product. A mismatch in the two could lead to decreased market share. This is well accepted in marketing of products however, in case of destination marketing the fundamental is lost. The current paper tries to use case study of Goa. This paper is an attempt to illustrate how segmentation and targeting problems have led to marketing mix issues for the destination and influenced its market share and led to serious marketing woes. The study was undertaken with the specific objective to understand the marketing woes Goa as a destination is facing. Data was collected from 298 foreign tourist visiting Goa. The study tried to meet this objective by studying the discriminators of foreign tourist satisfaction.The results of the discriminant analysis indicated that three factors were significant predictors of satisfaction in terms of foreign tourist in Goa i.e. experience, hygiene and safety. The results of the study further indicated that there was a need for the Goan Government to make policies specific to experience and quality of experience the destination offers. A dimension wise detailed analysis was also undertaken to help the Goan Government develop specific strategies. The specific targeting strategy would also help the government develop a more effective positioning strategy and basis for performance evaluation. Therefore, the segmentation of the market on basis of psychometric variable will help Goa develop a more effective marketing strategy. However, there is a need to convert these into demographic variables for practical reasons which can be explored as future areas of research.
Keywords
Tourism Marketing, Discriminant Analysis, Market Segmentation, Market Strategies, Goa.References
- Ang, R. P. (2005). Development and validation of the teacherstudent Relationship Inventory using exploratory and confirmatory factor analysis. The Journal of Experimental Education, 74, 55-74.
- Apostolakis, A., & Jaffry, S. (2005). A choice modeling application for Greek heritage attractions. Journal of Travel Research, 43, 309-318.
- Backman, S. J. & Veldkamp, C. (1995). Examination of the relationship between service quality and user loyalty. Journal of Park and Recreation Administration, 13, 29-41.
- Baker, D. A., & Crompton, J. L. (2000). Quality, satisfaction and behavioral intentions. Annals of Tourism Research, 27, 785-804.
- Barber, N., & Scarcelli, J. M. (2010). Enhancing the assessment of tangible service quality through the creation of a cleanliness measurement scale. Managing Service Quality: An International Journal, 20, 70-88.
- Buhr, W. (2003). What is infrastructure?: Volkswirtschaftliche Diskussionsbeitrage.
- Chen, C.-F., & Chen, F.-S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31, 29-35.
- Choy, D. J. (1992). Life cycle models for Pacific island destinations. Journal of Travel Research, 30, 26-31.
- Cohen, E. (1972). Toward a sociology of international tourism. Social Research, 164-182.
- Funk, D. C., & Bruun, T. J. (2007). The role of socio-psychological and culture-education motives in marketing international sport tourism: A cross-cultural perspective. Tourism Management, 28, 806-819.
- Gilmore, J. H., & Pine, B. J. (2002). Differentiating hospitality operations via experiences: Why selling services is not enough. The Cornell Hotel and Restaurant Administration Quarterly, 43, 87-96.
- HAIR, J. F. (2009). Multivariate data analysis.
- Hui, T. K., Wan, D., & Ho, A. (2007). Tourists’ satisfaction, recommendation and revisiting Singapore. Tourism management, 28, 965-975.
- Jochimsen, R. (1966). Theorie der infrastruktur, Mohr.
- Johnston, B. R., & Edwards, T. (1994). The commodification of mountaineering. Annals of Tourism Research, 21, 459-478.
- Jolliffe, I. T. (1972). Discarding variables in a principal component analysis. I: Artificial data. Applied statistics, 160-173.
- Kirkman, B. L., & Law, K. S. (2005). International Management Research in AMJ: Our Past, Present, and Future. Academy of Management Journal.
- Klecka, W. R. (1980). Discriminant analysis, Sage.
- Kozak, M. (2001). Repeaters’ behavior at two distinct destinations. Annals of Tourism Research, 28, 784-807.
- Kozak, M., & Rimmington, M. (2000). Tourist satisfaction with Mallorca, Spain, as an off-season holiday destination. Journal of Travel Research, 38, 260-269.
- Laws, E. (1995). Tourist destination management: Issues, analysis and policies. Routledge.
- Lee, S. Y., Petrick, J. F., & Crompton, J. (2007). The roles of quality and intermediary constructs in determining festival attendees’ behavioral intention. Journal of Travel Research, 45, 402-412.
- Murphy, P., Pritchard, M. P. & Smith, B. (2000). The destination product and its impact on traveller perceptions. Tourism Management, 21, 43-52.
- Osborne, J. W., & Costello, A. B. (2009). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pan-Pacific Management Review, 12, 131-146.
- Peter, S., & Anandkumar, V. (n.d.). A Study on the sources of competitive advantage of Dubai as a Shopping Tourism Destination. International Business Research Conference [online]. Retrieved from http://wbiconpro.com/510-San-geeto.pdf [accessed 17 May 2012], 2011.
- Petrick, J. F. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions. Journal of travel research, 42, 397-407.
- Pizam, A., & Milman, A. (1993). Predicting satisfaction among first time visitors to a destination by using the expectancy disconfirmation theory. International Journal of Hospitality Management, 12, 197-209.
- Ray, G., Muhanna, W. A., & Barney, J. B. (2005). Information technology and the performance of the customer service process: A resource-based analysis. MIS Quarterly, 29, 625-652.
- Richard, G., & Richards, G. (2001). The experience industry and the creation of attraction. Cultural Attractions and European Tourism, 55-59.
- Shaycoft, M. F. (1970). The eigenvalue myth and the dimensionreduction fallacy. Meeting of the American Educational Research Association, Minneapolis.
- Singh, J., Naya, M., & Bala, K. (2014). Comparative analysis of the perference & choice of Gujarat as a tourism destination by domestic & foreign tourist. Journal of International Academic Research for Multidisciplinary, 2, 187-210.
- Yilmaz, Y., Degirmenci, S., Akdas, F., Kulekci, S., Ciprut, A., Yuksel, S., Yildiz, F., Karadeniz, L., & Say, A. (2001). Prognostic value of auditory brainstem response for neurologic outcome in patients with neonatal indirect hyperbilirubinemia. Journal of child neurology, 16, 772-775.