Drivers of the formation of e-loyalty towards tourism destinations

  1. Parra-Lopez, Eduardo 1
  2. Martínez-González, José Alberto 1
  3. Chinea-Martin, Angel 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Revista:
European journal of management and business economics

ISSN: 2444-8494,  2444-8451

Año de publicación: 2018

Título del ejemplar: New frontiers in tourism: destinations, resources, and managerial perspectives

Volumen: 27

Número: 1

Páginas: 66-82

Tipo: Artículo

DOI: 10.1108/EJMBE-11-2017-0050 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: European journal of management and business economics

Resumen

The purpose of this paper is to determine the drivers of the formation of e-loyalty in a tourist destination, providing a model composed of variables that are under the control of the firm along with others that are not fully controllable by professionals. The study was carried out with a sample of 497 subjects, university students and online consumers, and with the use of structural equations (partial least squares). Results show that young people give a high valuation to all the variables used in the research. These results contribute to the literature on e-loyalty in tourism destinations and improve tourism loyalty in this population segment. The main limitation of this research has been related to the number of variables and measurement indicators that, according to the literature review, influence e-loyalty. Finally, a balanced and statistically significant model has been developed that has practical utility and analyzes online purchase of tourism products from a process perspective that includes variables that are internal and external to the firm. The study suggests that young people have a favourable attitude and predisposition towards e-commerce, which, in turn, favours firms’ efforts to promote consumption and loyalty within the framework of the model’s variables. This research paper has important value by analysing the initiating variables to determine how e-loyalty can be managed in tourist destinations, in addition to analysing an important segment for future tourism development

Referencias bibliográficas

  • Afsar, A., Nasiri, Z. and Zadeh, M.O. (2013), “E-loyalty model in e-commerce”, Mediterranean Journal of Social Sciences, Vol. 4 No. 9, pp. 547-553.
  • Allagui, A. and Temessek, A. (2004), “Testing an e-loyalty intention conceptual framework”, Journal of E-Business, Vol. 4 No. 1, pp. 1-6.
  • Anderson, J.C. and Gerbing, D.W. (1988), “Structural equation modeling in practice: a review and recommended two-step approach”, Psychological Bulletin, Vol. 103 No. 3, pp. 411-423.
  • Anderson, R.E. and Srinivasan, S.S. (2003), “E-satisfaction and e-loyalty: a contingency framework”, Psychology and Marketing, Vol. 20 No. 2, pp. 123-138.
  • Bansal, G. and Chen, L. (2011), “If they trust our e-commerce site, will they trust our social commerce site too? Di erentiating the trust in e-commerce and s-commerce: e moderating role of privacy and security concerns”, MWAIS 2011 Proceedings, Paper No. 20.
  • Barrera Barrera, R., Navarro García, A. and Rey Moreno, M. (2014), “Evaluación de la calidad de servicio electrónico en encuentros de servicio con incidents: diferencias según el perfil sociodemográfico del consumidor online”, Revista Europea de Dirección y Economía de la Empresa, Vol. 23 No. 4, pp. 184-193.
  • Belanche, D., Casaló, L.V. and Guinalíu, M. (2012), “Website usability, consumer satisfaction and the intention to use a website: the moderating effect of perceived risk”, Journal of Retailing and Consumer Services, Vol. 19 No. 1, pp. 124-132.
  • Bergkvist, L. and Rossiter, J. (2007), “The predictive validity of multiple-item versus single-item measures of the same constructs”, Journal of Marketing Research, Vol. 44 No. 2, pp. 175-184.
  • Bilgihan, A. (2016), “Gen Y customer loyalty in online shopping: an integrated model of trust, user experience and branding”, Computers in Human Behavior, Vol. 61 No. C, pp. 103-113.
  • Cepeda, G. and Roldán, J.L. (2004), “Aplicando en la práctica la técnica PLS en la administración de empresas”, Conocimiento y Competitividad. XIV Congreso Nacional ACEDE, Murcia, pp. 74-78.
  • Chan, A.P.C., Yung, E.H.K., Lam, P.T.I., Tam, C.M. and Cheung, S.O. (2001), “Application of Delphi method in selection of procurement systems for construction projects”, Construction Management and Economics, Vol. 19 No. 7, pp. 699-718.
  • Chang, H.H. and Chen, S.W. (2008a), “The impact of customer interface quality, satisfaction and switching costs on e-loyalty: internet experience as a moderator”, Computers in Human Behavior, Vol. 24 No. 6, pp. 2927-2944.
  • Chang, H.H. and Chen, S.W. (2008b), “The impact of online store environment cues on purchase intention: trust and perceived risk as a mediator”, Online Information Review, Vol. 32 No. 6, pp. 818-841.
  • Charters, S., Fountain, J., Kolyesnikova, N., Ritchie, Thach, C. and Dodd, T. (2011), “Generation Y and sparkling wines: a cross-cultural perspective”, International Journal of Wine Business Research, Vol. 23 No. 2, pp. 161-175.
  • Chen, C.F. and Wang, J.P. (2016), “Customer participation, value co-creation and customer loyalty: a case of airline online check-in system”, Computers in Human Behavior, Vol. 62, September, pp. 346-352.
  • Chen, M.H., Chang, Y.Y. and Lee, C.Y. (2015), “Creative entrepreneurs’ guanxi networks and success: information and resource”, Journal of Business Research, Vol. 68 No. 4, pp. 900-905.
  • Chen, J.V., Yen, D.C., Pornpriphet, W. and Widjaja, A. (2015), “E-commerce web site loyalty: a cross cultural comparison”, Information Systems Frontiers, Vol. 17 No. 6, pp. 1283-1299.
  • Chin, W. (1998a), “Issues and opinion on structural equation modeling”, MIS Quarterly, Vol. 22 No. 1, pp. 7-16.
  • Chin, W. (1998b), “The partial least approach to structural equation modelling”, in Marcoulides, G.A. (Ed.), Moderm Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 295-336.
  • Chin, W. (2010), “How to write up and report PLS analyses”, in Esposito Vinzi, V., Chin, W., Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares: Concepts, Methods and Application, Springer, pp. 645-689.
  • Çoban, S. (2012), “The effects of the image of destination on tourist satisfaction and loyalty: the case of Cappadocia”, European Journal of Social Sciences, Vol. 29 No. 2, pp. 222-232.
  • Cyr, D., Kindra, G.S. and Dash, S. (2008), “Web site design, trust, satisfaction and e-loyalty: the Indian experience”, Online Information Review, Vol. 32 No. 6, pp. 773-790.
  • De Maeyer, P. (2012), “Impact of online consumer reviews on sales and price strategies: a review and directions for future research”, Journal of Product & Brand Management, Vol. 21 No. 2, pp. 132-139.
  • Dijkmans, C., Kerkhof, P., Buyukcan-Tetik, A. and Beukeboom, C.J. (2015), “Online conversation and corporate reputation: a two-wave longitudinal study on the effects of exposure to the social media activities of a highly interactive company”, Journal of Computer-Mediated Communication, Vol. 20 No. 6, pp. 632-648.
  • Elkhani, N., Soltani, S. and Hamshidi, H.M.S. (2014), “Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites”, Journal of Air Transport Management, Vol. 37 No. 1, pp. 36-44.
  • Flavián, C., Guinalíu, M. and Torres, E. (2006), “How bricks-and-mortar attributes affect online banking adoption”, International Journal of Bank Marketing, Vol. 24 No. 6, pp. 406-423.
  • Fornell, C. and Larcker, D. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, pp. 39-50.
  • Fuentes, M., Saura, I.G., Berenguer, G. and Moliner, B. (2010), “Measuring the antecedents of e-loyalty and the effect of switching costs on website”, The Service Industries Journal, Vol. 30 No. 11, pp. 1837-1852.
  • Geisser, S. (1975), “A predictive sample reuse method with applications”, Journal of the American Statistical Association, Vol. 70 No. 350, pp. 320-328.
  • Gonçalves, H., Salgueiro, M.F. and Rita, P. (2016), “Online purchase determinants of loyalty: the mediating effect of satisfaction in tourism”, Journal of Retailing and Consumer Services, Vol. 30, May, pp. 279-291.
  • Goyette, I., Ricard, L., Bergeron, J. and Marticotte, F. (2010), “e-WOM scale: word-of-mouth measurement scale for e-services context”, Canadian Journal of Administrative Sciences Revue Canadienne des Sciences de l’administration, Vol. 27 No. 1, pp. 5-23.
  • Gurtner, S. and Soyez, K. (2016), “How to catch the generation Y: identifying consumers of ecological innovations among youngsters”, Technological Forecasting & Social Change, Vol. 106, May, pp. 101-107.
  • Gutiérrez, D., Bulchand, J., Díaz, R. and Parra, E. (2013), “Antecedentes del uso de los medios sociales por el turista: motivación, oportunidad y capacidad”, Cuadernos de Turismo, Vol. 31, pp. 153-173.
  • Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2014), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), SAGE Publications Ltd, Thousand Oaks, CA.
  • Chen, M.H., Chang, Y.Y. and Lee, C.Y. (2015), “Creative entrepreneurs’ guanxi networks and success: information and resource”, Journal of Business Research, Vol. 68 No. 4, pp. 900-905.
  • Chen, J.V., Yen, D.C., Pornpriphet, W. and Widjaja, A. (2015), “E-commerce web site loyalty: a cross cultural comparison”, Information Systems Frontiers, Vol. 17 No. 6, pp. 1283-1299.
  • Chin, W. (1998a), “Issues and opinion on structural equation modeling”, MIS Quarterly, Vol. 22 No. 1, pp. 7-16.
  • Chin, W. (1998b), “The partial least approach to structural equation modelling”, in Marcoulides, G.A. (Ed.), Moderm Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 295-336.
  • Chin, W. (2010), “How to write up and report PLS analyses”, in Esposito Vinzi, V., Chin, W., Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares: Concepts, Methods and Application, Springer, pp. 645-689.
  • Çoban, S. (2012), “The effects of the image of destination on tourist satisfaction and loyalty: the case of Cappadocia”, European Journal of Social Sciences, Vol. 29 No. 2, pp. 222-232.
  • Cyr, D., Kindra, G.S. and Dash, S. (2008), “Web site design, trust, satisfaction and e-loyalty: the Indian experience”, Online Information Review, Vol. 32 No. 6, pp. 773-790.
  • De Maeyer, P. (2012), “Impact of online consumer reviews on sales and price strategies: a review and directions for future research”, Journal of Product & Brand Management, Vol. 21 No. 2, pp. 132-139.
  • Dijkmans, C., Kerkhof, P., Buyukcan-Tetik, A. and Beukeboom, C.J. (2015), “Online conversation and corporate reputation: a two-wave longitudinal study on the effects of exposure to the social media activities of a highly interactive company”, Journal of Computer-Mediated Communication, Vol. 20 No. 6, pp. 632-648.
  • Elkhani, N., Soltani, S. and Hamshidi, H.M.S. (2014), “Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites”, Journal of Air Transport Management, Vol. 37 No. 1, pp. 36-44.
  • Flavián, C., Guinalíu, M. and Torres, E. (2006), “How bricks-and-mortar attributes affect online banking adoption”, International Journal of Bank Marketing, Vol. 24 No. 6, pp. 406-423.
  • Fornell, C. and Larcker, D. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, pp. 39-50.
  • Fuentes, M., Saura, I.G., Berenguer, G. and Moliner, B. (2010), “Measuring the antecedents of e-loyalty and the effect of switching costs on website”, The Service Industries Journal, Vol. 30 No. 11, pp. 1837-1852.
  • Geisser, S. (1975), “A predictive sample reuse method with applications”, Journal of the American Statistical Association, Vol. 70 No. 350, pp. 320-328.
  • Gonçalves, H., Salgueiro, M.F. and Rita, P. (2016), “Online purchase determinants of loyalty: the mediating effect of satisfaction in tourism”, Journal of Retailing and Consumer Services, Vol. 30, May, pp. 279-291.
  • Goyette, I., Ricard, L., Bergeron, J. and Marticotte, F. (2010), “e-WOM scale: word-of-mouth measurement scale for e-services context”, Canadian Journal of Administrative Sciences Revue Canadienne des Sciences de l’administration, Vol. 27 No. 1, pp. 5-23.
  • Gurtner, S. and Soyez, K. (2016), “How to catch the generation Y: identifying consumers of ecological innovations among youngsters”, Technological Forecasting & Social Change, Vol. 106, May, pp. 101-107.
  • Gutiérrez, D., Bulchand, J., Díaz, R. and Parra, E. (2013), “Antecedentes del uso de los medios sociales por el turista: motivación, oportunidad y capacidad”, Cuadernos de Turismo, Vol. 31, pp. 153-173.
  • Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2014), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), SAGE Publications Ltd, Thousand Oaks, CA.
  • Sobihah, M., Mohamad, M., Ali, N.A.M. and Ismail, W.Z.W. (2015), “E-commerce service quality on customer satisfaction, belief and loyalty: a proposal”, Mediterranean Journal of Social Sciences, Vol. 6 No. 2, pp. 260-266.
  • Stone, M. (1974), “Cross-validatory choice and the assessment of statistical predictions (with discussion)”, Journal of the Royal Statistical Society, Series B, Vol. 36 No. 2, pp. 111-133.
  • Toufaily, E., Ricard, L. and Perrien, J. (2013), “Customer loyalty to a commercial website: descriptive meta-analysis of the empirical literature and proposal of an integrative model”, Journal of Business Research, Vol. 66 No. 9, pp. 1436-1447.
  • Tseng, A. (2017), “Why do online tourists need sellers’ ratings? Exploration of the factors affecting regretful tourist e-satisfaction Aihua Tseng”, Tourism Management, Vol. 59 No. C, pp. 413-424.
  • Winnie, P.M.W. (2014), “The impact of trustworthiness and customer e-loyalty and e-satisfaction”, International Journal of Academic Research in Business and Social Sciences, Vol. 4 No. 3, pp. 390-408.
  • Worthington, R.W. and Whittaker, T.A. (2006), “Using exploratory and confirmatory factor analysis in scale development research: a content analysis and recommendations for best practices”, The Counseling Psychologist, Vol. 34 No. 6, pp. 806-838.
  • Wu, C. and Hsu, C.L. (2015), “How to improve e-satisfaction and e-loyalty and strengthen the links between them: value from regulatory fit”, Human Factors and Ergonomics in Manufacturing & Service Industries, Vol. 25 No. 3, pp. 353-369.
  • Yang, H.E., Wu, C.C. and Wang, K.C. (2009), “An empirical analysis of online game service satisfaction and loyalty”, Expert Systems with Applications, Vol. 36 No. 2, pp. 1816-1825.
  • Ye, Q., Law, R. and Gu, B. (2009), “The impact of online user reviews on hotel room sales”, International Journal of Hospitality Management, Vol. 28 No. 1, pp. 180-182.
  • Yi, M.Y., Fiedler, K. and Park, J. (2006), “Understanding the role of individual innovativeness in the acceptance of IT-based innovations: compare analyses of models and measures”, Decision Sciences, Vol. 37 No. 3, pp. 393-426.
  • Yi, Y. and Jeon, H. (2003), “Effects of loyalty programs on value perception, program loyalty, and brand loyalty”, Journal of the Academy of Marketing Science, Vol. 31 No. 3, pp. 229-240.
  • Yoo, Y., Boland, R.J. Jr, Lyytinen, K. and Majchrzak, A. (2012), “Organizing for innovation in the digitized world”, Organization Science, Vol. 23 No. 5, pp. 1398-1408.
  • Zehir, C., Sehitoglub, Y., Narcikara, E. and Zehir, S. (2014), “E-S-quality, perceived value and loyalty intentions relationships in internet retailers”, Procedia – Social and Behavioral Sciences, Vol. 150, September, pp. 1071-1079.
  • Ziaullah, M., Feng, Y. and Akhter, S.N. (2014), “Online retailing: relationship among e-tailing system quality, e-satisfaction, e-trust and customer’s commitment in China”, International Journal of Economics, Commerce and Management, Vol. 2 No. 10, pp. 1-17.
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