Antecedents of perceived value and its impact on tourist satisfaction: A Bangladesh perspective study
Abstract
Understanding target tourists’ value proposition is critical for devising wining destination marketing strategy. Many tourism researchers argued perceived value as the most important elements for gaining competitive edge and a significant predictor of customer satisfaction. However, in Bangladesh context, there is a lack of research in this area. To minimize the gap, this study proposes a tourist satisfaction model for a destination and explores the antecedents of tourists’ perceived value. A conceptual model encompassing the notions of perceived quality, tourist expectation, perceived cost, destination image, perceived value and tourist satisfaction in the tourism setting has been developed. The model is then empirically tested using SmartPls 2.0 software. Empirical results, based on the samples of 202 randomly selected tourists from Bandarban support that perceived quality, perceived cost, tourist expectation and destination image are four key antecedents of perceived value which eventually effects tourist satisfaction. A more comprehensive model can be developed considering some other context specific antecedent variables. Managerial implications have been drawn and further research is also suggested.
Keywords
References
Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology studies, 2(2), 285-309.
del Bosque, I. A. R., San Martín, H., & Collado, J. (2006). The role of expectations in the consumer satisfaction formation process: Empirical evidence in the travel agency sector. Tourism Management, 27(3), 410-419.
Chen, C. F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions?. Tourism management, 28(4), 1115-1122.
Chen, C. F. (2008). Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan. Transportation Research Part A: Policy and Practice, 42(4), 709-717.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Fakeye, P. C., & Crompton, J. L. (1991). Image differences between prospective, first-time, and repeat visitors to the Lower Rio Grande Valley. Journal of travel research, 30(2), 10-16.
Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. the Journal of Marketing, 7-18.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European journal of marketing, 37(11/12), 1762-1800.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in international marketing, 20(1), 277-319.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent. Strategic management journal, 20(2), 195-204.
Huse, M., Hoskisson, R., Zattoni, A., & Viganò, R. (2011). New perspectives on board research: Changing the research agenda. Journal of Management & Governance, 15(1), 5-28.
Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of management information systems, 11(4), 87-114.
Kamndampully, J., & Duddy, R. (2001). Service System: A Strategic Approach to Gain a Competitive Advantage in the Hospitality and Tourism Industry. International Journal of Hospitality and Tourism Administration, 2(1), 27-47.
Lee, S., Jeon, S., & Kim, D. (2011). The impact of tour quality and tourist satisfaction on tourist loyalty: The case of Chinese tourists in Korea. Tourism Management, 32(5), 1115-1124.
Lovelock, C., & Wirtz, J. (2007). Services Marketing, 6th.
Malhotra, Y. (2004). Why knowledge management systems fail: enablers and constraints of knowledge management in human enterprises. In Handbook on Knowledge Management 1 (pp. 577-599). Springer Berlin Heidelberg.
McDougall, G. H., & Levesque, T. (2000). Customer satisfaction with services: putting perceived value into the equation. Journal of services marketing, 14(5), 392-410.
Millan, A., & Esteban, A. (2004). Development of a multiple-item scale for measuring customer satisfaction in travel agencies services. Tourism management, 25(5), 533-546.
Murphy, P., Pritchard, M. P., & Smith, B. (2000). The destination product and its impact on traveller perceptions. Tourism management, 21(1), 43-52.
Ngobo, P. V. (1997). Qualité perçue et satisfaction des consommateurs: un état des recherches. Revue française du marketing, (163), 67-80.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 460-469.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. the Journal of Marketing, 41-50.
Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors: The Journal of the Human Factors and Ergonomics Society, 39(2), 230-253.
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Understanding customer expectations of service. Sloan Management Review, 32(3), 39-48.
Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of leisure research, 34(2), 119.
Petrick, J. F. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions. Journal of travel research, 42(4), 397-407.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Ravald, A., & Grönroos, C. (1996). The value concept and relationship marketing. European journal of marketing, 30(2), 19-30.
Reisinger, Y., & Turner, L. W. (2003). Cross-cultural behaviour in tourism: Concepts and analysis. Oxford: Butterworth-Heinemann
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (beta).
Tam, J. L. (2004). Customer satisfaction, service quality and perceived value: an integrative model. Journal of marketing management, 20(7-8), 897-917.
Teas, R. K. (1993). Expectations, performance evaluation, and consumers' perceptions of quality. The journal of marketing, 18-34.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Williams, P., & Soutar, G. N. (2009). Value, satisfaction and behavioral intentions in an adventure tourism context. Annals of Tourism Research, 36(3), 413-438.
Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the academy of marketing science, 25(2), 139-153.
Yuksel, Atila, and Fisun Yuksel. "Measurement and management issues in customer satisfaction research: Review, critique and research agenda: Part one." Journal of Travel & Tourism Marketing 10.4 (2001): 47-80.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 2-22.
Zeithaml, V. A., & Bitner, M. J. (2003). Customer perceptions of service. Services Marketing: Integrating Customer Focus across the Firm.
This work is licensed under a Creative Commons Attribution 3.0 License.