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Older Tourists: An Exploratory Study on Online Behaviour

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Abstract

The Internet has reshaped the way consumers can search for and purchase tourism products. While various studies about online behaviour have addressed the ‘Y generation’, little attention has been given to older adults, particularly within the tourism industry. This article investigates older tourists’ online behaviour in an increasingly ageing context (Italy). In particular, the study focuses on past travel behaviour and online experience as antecedents of online purchase intentions. An exploratory research was conducted among a sample of 205 tourists aged 50 years and older. The findings reveal that online travel purchase intention positively depends on online word-of-mouth, previous online travel purchase, and education. In addition, significant behavioural differences emerge between prospective seniors and seniors. This study contributes to fill a gap in tourism literature about older tourists. Moreover, it provides useful insights and practical implications for hospitality and tourism companies willing to approach the senior market.

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References

  • Batra, A. (2009). Senior pleasure tourists: examination of their demography, travel experience, and travel behavior upon visiting the bangkok metropolis. International Journal of Hospitality & Tourism Administration, 10(3), 197–212.

    Article  Google Scholar 

  • Bruwer, J., & Thach, L. (2013). Wine tourists’ use of sources of information when visiting a USA wine region. Journal of Vacation Marketing, 19(3), 221–237.

    Article  Google Scholar 

  • Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the internet—The state of eTourism research. Tourism Management, 29(4), 609–623.

    Article  Google Scholar 

  • Buick, I. (2003). Information technology in small Scottish hotels: Is it working. International Journal of Contemporary Hospitality Management, 15(4), 243–247.

    Article  Google Scholar 

  • Capella, L. M., & Greco, A. J. (1989). Information sources of elderly for vacation decisions. Annals of Tourism Research, 14, 148–151.

    Article  Google Scholar 

  • Carroll, B., & Siguaw, J. (2003). The evolution of electronic distribution: Effects on hotels and intermediaries. Cornell Hotel and Restaurant Administration Quarterly, 44(4), 38–50.

    Article  Google Scholar 

  • Chatterjee, P. (2001). Online reviews: Do consumers use them? Advances in Consumer Research, 28, 129–133.

    Google Scholar 

  • Cheema, A., & Papatla, P. (2010). Relative importance of online versus offline information for internet purchases: Product category and internet experience effects. Journal of Business Research, 63(9), 979–985.

    Article  Google Scholar 

  • Chen, K. H., Liu, H. H., & Chang, F. H. (2013). Essential customer service factors and the segmentation of older visitors within wellness tourism based on hot springs hotels. International Journal of Hospitality Management, 35, 122–132.

    Article  Google Scholar 

  • Confente, I. (2012). Il Word of Mouth: l’evoluzione del comportamento del consumatore nell’era digitale. Milano: Giuffrè Editore.

    Google Scholar 

  • Degeratu, A. M., Rangaswamy, A., & Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing, 17(1), 55–78.

    Article  Google Scholar 

  • Del Chiappa, G. (2013). Internet versus travel agencies The perception of different groups of Italian online buyers. Journal of Vacation Marketing, 19(1), 55–66.

    Article  Google Scholar 

  • Eastlick, M. A. (1996). Consumer intention to adopt interactive teleshopping. Marketing Science Institute Working Paper (Report No. 96–113). Cambridge, MA: Marketing Science Institute.

    Google Scholar 

  • Eastman, J. K., & Iyer, R. (2004). The elderly’s uses and attitudes towards the internet. Journal of Consumer Marketing, 21(3), 208–220.

    Article  Google Scholar 

  • Elliot, S., & Fowell, S. (2000). Expectations versus reality: A snapshot of consumer experiences with internet retailing. International Journal of Information Management, 20(5), 323–336.

    Article  Google Scholar 

  • Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior (8th ed.). Orlando, FL: The Dryden Press.

    Google Scholar 

  • European Commission. (2012). Population projection. Population by sex and 5-year age groups. Retrieved August 28, 2013, from http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Population_structure_and_ageing

  • Filieri, R., & McLeay, F. (2013). E-WOM and Accommodation: An Analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research,. doi:10.1177/0047287513481274.

    Google Scholar 

  • Fleischer, A., & Pizam, A. (2002). Tourism constraints among Israeli seniors. Annals of Tourism Research, 29(1), 108–123.

    Article  Google Scholar 

  • Fuchs, M., & Weiermair, K. (2004). Destination benchmarking: An indicator-system’s potential for exploring guest satisfaction. Journal of travel research, 42(3), 212–225.

    Article  Google Scholar 

  • Füller, J., Matzler, K., Hutter, K., & Hautz, J. (2012). Consumers’ creative talent: Which characteristics qualify consumers for open innovation projects? An exploration of asymmetrical Effects. Creativity and Innovation Management, 21(3), 247–262.

    Article  Google Scholar 

  • Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545.

    Article  Google Scholar 

  • Hair, J. F., Bush, R. P., & Ortinau, D. J. (2002). Marketing research within a changing information environment. New York: McGraw-Hill Irwin.

    Google Scholar 

  • Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., et al. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311–330.

    Article  Google Scholar 

  • Huang, L., Chen, K. H., & Wu, Y. W. (2009). What kind of marketing distribution mix can maximize revenues: The wholesaler travel agencies’ perspective? Tourism Management, 30(5), 733–739.

    Article  Google Scholar 

  • Huang, L., & Tsai, H. T. (2003). The study of senior traveler behavior in Taiwan. Tourism Management, 24(5), 561–574.

    Article  Google Scholar 

  • Hunter-Jones, P., & Blackburn, A. (2007). Understanding the relationship between holiday taking and self-assessed health: An exploratory study of senior tourism. International Journal of Consumer Studies, 31(5), 509–516.

    Article  Google Scholar 

  • Jang, S. S., & Wu, C. M. E. (2006). Seniors’ travel motivation and the influential factors: An examination of Taiwanese seniors. Tourism Management, 27(2), 306–316.

    Article  Google Scholar 

  • Jang, S. S., Bai, B., Hu, C., & Wu, C. M. E. (2009). Affect, travel motivation, and travel intention: A senior market. Journal of Hospitality & Tourism Research, 33(1), 51–73.

    Article  Google Scholar 

  • Jeong, M., Oh, H., & Gregoire, M. (2003). Conceptualizing web site quality and its consequences in the lodging industry. International Journal of Hospitality Management, 22(2), 161–175.

    Article  Google Scholar 

  • Kang, K. H., Stein, L., Heo, C. Y., & Lee, S. (2012). Consumers’ willingness to pay for green initiatives of the hotel industry. International Journal of Hospitality Management, 31(2), 564–572.

    Article  Google Scholar 

  • Kim, M., Chung, N., & Lee, C. (2011). The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management, 32(2), 256–265.

    Article  Google Scholar 

  • Kim, W. G., & Kim, D. J. (2004). Factors affecting online hotel reservation intention between online and non-online customers. International Journal of Hospitality Management, 23(4), 381–395.

    Article  Google Scholar 

  • Kohlbacher, F., & Chéron, E. (2012). Understanding “silver” consumers through cognitive age, health condition, financial status, and personal values: Empirical evidence from the world’s most mature market Japan. Journal of Consumer Behavior, 11(3), 179–188.

    Article  Google Scholar 

  • Le Serre, D., & Chevalier, C. (2012). Marketing travel services to senior consumers. Journal of Consumer Marketing, 29(4), 262–270.

    Article  Google Scholar 

  • Le Serre, D., Legohérel, P., & Weber, K. (2013). Seniors’ motivations and perceived risks: A cross-cultural study. Journal of International Consumer Marketing, 25(2), 61–79.

    Article  Google Scholar 

  • Lee, H. Y., Qu, H., & Kim, Y. S. (2007). A study of the impact of personal innovativeness on online travel shopping behaviour—a case study of Korean travelers. Tourism Management, 28(3), 886–897.

    Article  Google Scholar 

  • Lee, C. F., Huang, H. I., & Yeh, H. R. (2010). Developing an evaluation model for destination attractiveness: Sustainable forest recreation tourism in Taiwan. Journal of Sustainable Tourism, 18(6), 811–828.

    Article  Google Scholar 

  • Lehto, X. Y., Jang, S. S., Achana, F. T., & O’Leary, J. T. (2008). Exploring tourism experience sought: A cohort comparison of Baby Boomers and the silent generation. Journal of Vacation Marketing, 14(3), 237–252.

    Article  Google Scholar 

  • Li, H., Kuo, C., & Russell, M. G. (1999). The impact of perceived channel utilities, shopping orientations and demographics on the consumer’s online buying behaviour. Journal of Computer Mediated Communication, 5(2), 1–20.

    Google Scholar 

  • Lin, T. M., Luarn, P., & Huang, Y. K. (2005). Effect of Internet book reviews on purchase intention: A focus group study. The Journal of Academic Librarianship, 31(5), 461–468.

    Article  Google Scholar 

  • Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(2), 458–468.

    Article  Google Scholar 

  • Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotiona mix. Business Horizons, 52, 357–365.

    Article  Google Scholar 

  • McLennan, C. L. J., Ritchie, B. W., Ruhanen, L. M., & Moyle, B. D. (2014). An institutional assessment of three local government-level tourism destinations at different stages of the transformation process. Tourism Management, 41, 107–118.

    Article  Google Scholar 

  • Monsuwé, T. P., Dellaert, B. G., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121.

    Article  Google Scholar 

  • Moutinho, L., Ballantyne, R., & Rate, S. (2011). The new business environment and trends in tourism. In L. Moutinho (Ed.), Strategic management in tourism (2nd ed., pp. 1–19). Oxfordshire: CAB International.

    Google Scholar 

  • Nambisan, S., & Baron, R. A. (2007). Interactions in virtual customer environments: Implications for product support and customer relationship management. Journal of Interactive Marketing, 21(2), 44–49.

    Article  Google Scholar 

  • Nusair, K. K., Bilgihan, A., & Okumus, F. (2012). The role of online social network travel websites in creating social interaction for Gen Y travelers. International Journal of Tourism Research, 15(5), 458–472.

    Article  Google Scholar 

  • O’Connor, P., & Murphy, J. (2004). Research on information technology in the hospitality industry. International Journal of Hospitality Management, 23(5), 473–484.

    Article  Google Scholar 

  • Pantelidis, L. S. (2010). Electronic meal experience: A content analysis of online restaurant comments. Cornell Hospitality Quarterly, 51(4), 483–491.

    Article  Google Scholar 

  • Park, C., & Lee, T. M. (2009). Antecedents of online reviews’ usage and purchase influence: An empirical comparison of US and Korean consumers. Journal of Interactive Marketing, 23(4), 332–340.

    Article  Google Scholar 

  • Patterson, I. (2007). Information sources used by older adults for decision making about tourist and travel destinations. International Journal of Consumer Studies, 31(5), 528–533.

    Article  Google Scholar 

  • Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007.

    Article  Google Scholar 

  • Richard, M. O., Chebat, J. C., Yang, Z., & Putrevu, S. (2010). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9), 926–934.

    Article  Google Scholar 

  • San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350.

    Article  Google Scholar 

  • Schettkat, R., & Yocarini, L. (2006). The shift to services employment: A review of the literature. Structural Change and Economic Dynamics, 17(2), 127–147.

    Article  Google Scholar 

  • Sedgley, D., Pritchard, A., & Morgan, N. (2011). Tourism and ageing: A transformative research agenda. Annals of Tourism Research, 38(2), 422–436.

    Article  Google Scholar 

  • Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: The role of intention to search: Best overall paper award—the sixth triennial AMS/ACRA retailing conference, 2000. Journal of Retailing, 77(3), 397–416.

    Article  Google Scholar 

  • Sotiriadis, M. D. & van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electronic Commerce Research,1–22.

    Google Scholar 

  • Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323.

    Article  Google Scholar 

  • Sudbury, L., & Simcock, P. (2009). A multivariate segmentation model of senior consumers. Journal of Consumer Marketing, 26(4), 251–262.

    Article  Google Scholar 

  • Thébault, M., Picard, P., & Ouedraogo, A. (2013). Seniors and tourism: An international exploratory study on the of the internet for researching recreational information use. International Business Research, 6(3), 22.

    Article  Google Scholar 

  • United Nations. (2009). World population ageing 2009. New York: Department of Economic and Social Affairs/Population Division. Retrieved August 28, 2013, from http://www.un.org/esa/population/publications/WPA2009/WPA2009_WorkingPaper.pdf

  • Wang, K. C., Ma, A. P., Hsu, M. T., Jao, P. C., & Lin, C. W. (2013). Seniors’ perceptions of service features on outbound group package tours. Journal of Business Research, 66(8), 1021–1027.

    Article  Google Scholar 

  • Weber, K., & Roehl, W. S. (1999). Profiling people searching for and purchasing travel products on the World Wide Web. Journal of Travel Research, 37, 291–298.

    Article  Google Scholar 

  • Wiesberg, J., Te’eni, D., & Arman, L. (2011). Past purchase and intention to purchase in e-commerce: The mediation of social presence and trust. Internet Research, 21(1), 82–96.

    Article  Google Scholar 

  • Wen, I. (2009). Factors affecting the online travel buying decision: A review. International Journal of Contemporary Hospitality Management, 21(6), 752–765.

    Article  Google Scholar 

  • Wen, I. (2012). An empirical study of an online travel purchase intention model. Journal of Travel & Tourism Marketing, 29(1), 18–39.

    Article  Google Scholar 

  • Zheng, L., Favier, M., Huang, P., & Coat, F. (2012). Chinese consumer perceived risk and risk relievers in e-shopping for clothing. Journal of Electronic Commerce Research, 13(3), 255–274.

    Google Scholar 

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Vigolo, V., Confente, I. (2013). Older Tourists: An Exploratory Study on Online Behaviour. In: Xiang, Z., Tussyadiah, I. (eds) Information and Communication Technologies in Tourism 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-03973-2_32

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