Does Consumers’ Intention to Purchase Travel Online Differ Across Generations?

Empirical Evidence from Australia


  • Shavneet Sharma University of the South Pacific
  • Gurmeet Singh
  • Stephen Pratt



Generational cohorts, Technology acceptance, Online purchase, Millennials, Baby Boomers, UTAUT2, Australia, Travel


This paper examines the differences in consumers' intention to purchase travel online across Millennials and Baby Boomers. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is extended by including attitude, compatibility, innovativeness, perceived trust, and perceived risk variables. Data is collected using online questionnaires from Millennials (N=322) and Baby Boomers (N=318) in Australia. Overall, the empirical results revealed that factors affecting Australian consumers' intention to purchase travel online differ across generations. This study contributes to the literature by extending and testing the comprehensive research model to understand consumers' online travel purchase behavior better.

Author Biographies

Gurmeet Singh

Professor Gurmeet Singh is the Head of the Graduate School of Business and Director of MBA programme, in Faculty of Business and Economics, The University of The South Pacific, Fiji.

Stephen Pratt

Professor Stephen Pratt is the Head of School of Tourism & Hospitality Management, in Faculty of Business and Economics, The University of The South Pacific, Fiji.


Agag, G. M., & El-Masry, A. A. (2017). Why do consumers trust online travel websites? Drivers and outcomes of consumer trust toward online travel websites. Journal of Travel Research, 56(3), 347-369.

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.

Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50, 179-211. De Young, 50(2), 509-526.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice Hall.

Akinnuwesi, B. A., Uzoka, F.-M. E., Okwundu, O. S., & Fashoto, G. (2016). Exploring biometric technology adoption in a developing country context using the modified UTAUT. International Journal of Business Information Systems, 23(4), 482-521.

Al-Gahtani, S. S. (2011). Modeling the electronic transactions acceptance using an extended technology acceptance model. Applied Computing and Informatics, 9(1), 47-77.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125-138. doi:10.1016/j.jretconser.2017.08.026

Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53-75.

Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management, 46, 64-79.

Arnett, D. B., Sandvik, I. L., & Sandvik, K. (2018). Two paths to organizational effectiveness–Product advantage and life-cycle flexibility. Journal of Business Research, 84, 285-292.

Athiyaman, A. (1995). The interface of tourism and strategy research: an analysis. Tourism Management, 16(6), 447-453.

Athiyaman, A. (2002). Internet users' intention to purchase air travel online: an empirical investigation. Marketing Intelligence & Planning, 20(4), 234-242.

Awwad, M. S., & Al-Majali, S. M. (2015). Electronic library services acceptance and use: an empirical validation of unified theory of acceptance and use of technology. The Electronic Library, 33(6), 1100-1120.

Baabdullah, A. M., Rana, N. P., Alalwan, A. A., Islam, R., Patil, P., & Dwivedi, Y. K. (2019). Consumer Adoption of Self-Service Technologies in the Context of the Jordanian Banking Industry: Examining the Moderating Role of Channel Types. Information Systems Management, 36(4), 286-305.

Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607.

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. doi:10.1007/bf02723327

Bakewell, C., & Mitchell, V.-W. (2003). Generation Y female consumer decision-making styles. International Journal of Retail & Distribution Management, 31(2), 95-106.

Baptista, G., & Oliveira, T. (2017). Why so serious? Gamification impact in the acceptance of mobile banking services. Internet Research, 27(1), 118-139.

Beauchamp, M. B., & Barnes, D. C. (2015). Delighting baby boomers and millennials: factors that matter most. Journal of Marketing Theory and Practice, 23(3), 338-350.

Beldona, S., Nusair, K., & Demicco, F. (2009). Online travel purchase behavior of generational cohorts: a longitudinal study. Journal of Hospitality Marketing & Management, 18(4), 406-420.

Bellman, S., Lohse, G. L., & Johnson, E. J. (1999). Predictors of online buying behavior. Communications of the ACM, 42(12), 32-38.

Bicikova, K. (2014). Understanding student travel behavior: A segmentation analysis of British university students. Journal of Travel & Tourism Marketing, 31(7), 854-867.

Bigné, E., Sanz, S., Ruiz, C., & Aldás, J. (2010). Why some Internet users don’t buy air tickets online: Springer.

Bobbitt, L. M., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service: the internet as an illustration. International Journal of Service Industry Management, 12(5), 423-450.

Bogdanovych, A., Berger, H., Simoff, S., & Sierra, C. (2006). Travel agents vs. online booking: Tackling the shortcomings of nowadays online tourism portals. Information and Communication Technologies in Tourism, 418-428.

Bowen, J. T., & Chen McCain, S.-L. (2015). Transitioning loyalty programs: A commentary on “the relationship between customer loyalty and customer satisfaction”. International Journal of Contemporary Hospitality Management, 27(3), 415-430.

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.

Chakraborty, R., Lee, J., Bagchi-Sen, S., Upadhyaya, S., & Rao, H. R. (2016). Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults. Decision Support Systems, 83, 47-56.

Chen, C.-D., Fan, Y.-W., & Farn, C.-K. (2007). Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior. Transportation Research Part C: Emerging Technologies, 15(5), 300-311.

Chen, C.-F., & Chou, S.-H. (2019). Antecedents and consequences of perceived coolness for Generation Y in the context of creative tourism-A case study of the Pier 2 Art Center in Taiwan. Tourism Management, 72, 121-129.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.

Chin, W. W. (2010). How to write up and report PLS analyses in the Handbook of Partial Least Squares (655-690): Springer.

Chin, W. W., Peterson, R. A., & Brown, S. P. (2008). Structural equation modeling in marketing: Some practical reminders. Journal of Marketing Theory and Practice, 16(4), 287-298.

Chiu, C.-M., Huang, H.-Y., & Yen, C.-H. (2010). Antecedents of trust in online auctions. Electronic Commerce Research and Applications, 9(2), 148-159.

Christou, E., & Kassianidis, P. (2002). Consumer's perceptions and adoption of online buying for travel products. Journal of Travel & Tourism Marketing, 12(4), 93-107.

Church, E. M., & Iyer, L. (2017). “When Is Short, Sweet?” Selection Uncertainty and Online Review Presentations. Journal of Computer Information Systems, 57(2), 179-189.

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.

Confente, I., & Vigolo, V. (2018). Online travel behaviour across cohorts: The impact of social influences and attitude on hotel booking intention. International Journal of Tourism Research, 20(5), 660-670.

Coombes, B. (2009). Generation Y: Are they really digital natives or more like digital refugees. Synergy, 7(1), 31-40.

Crespo, Á. H., & del Bosque, I. R. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.

Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of Advertising Research, 39(3), 52-52.

Duffy, B., Smith, K., Terhanian, G., & Bremer, J. (2005). Comparing data from online and face-to-face surveys. International Journal of Market Research, 47(6), 615-639.

Dwivedi, A., Wilkie, D., Johnson, L., & Weerawardena, J. (2016). Establishing measures and drivers of consumer brand engagement behaviours. Journal of Brand Management, 23(5), 41-69.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 1-16.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734.

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58-64.

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88.

Éthier, J., Hadaya, P., Talbot, J., & Cadieux, J. (2006). B2C web site quality and emotions during online shopping episodes: An empirical study. Information & Management, 43(5), 627-639.

Farivar, S., Turel, O., & Yuan, Y. (2017). A trust-risk perspective on social commerce use: an examination of the biasing role of habit. Internet Research, 27(3), 586-607.

Filippou, J., Cheong, C., & Cheong, F. (2018). A model to investigate preference for use of gamification in a learning activity. Australasian Journal of Information Systems, 22. doi:10.3127/ajis.v22i0.1397

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behaviour: An Introduction to theory and research. Addison-Wesley Pub. Co. (Reading, Mass).

Fornell, C., & Larcker, D. F. (1981a). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Fornell, C., & Larcker, D. F. (1981b). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.

Friemel, T. N. (2016). The digital divide has grown old: Determinants of a digital divide among seniors. New Media & Society, 18(2), 313-331.

Gardiner, S., Grace, D., & King, C. (2015). Is the Australian domestic holiday a thing of the past? Understanding baby boomer, Generation X and Generation Y perceptions and attitude to domestic and international holidays. Journal of Vacation Marketing, 21(4), 336-350.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.

Gilleard, C., Jones, I., & Higgs, P. (2015). Connectivity in later life: The declining age divide in mobile cell phone ownership. Sociological Research Online, 20(2), 1-13.

Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.

Goldsmith, R. E. (2000). How innovativeness differentiates online buyers. Quarterly Journal of Electronic Commerce, 1(4), 323-333.

Goldsmith, R. E. (2002). Explaining and predicting consumer intention to purchase over the internet: an exploratory study. Journal of Marketing Theory and Practice, 10(2), 22-28.

Goldsmith, R. E., & Lafferty, B. A. (2001). Innovative online buyers. Proceedings of the Society for Marketing Advances, 275-278.

Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: a UTAUT2 perspective of smart travellers. Tourism and Hospitality Management, 23(2), 145-161.

Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50-64.

Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate data analysis. New Jersey: Pearson Educational: Inc.

Herrando, C., Jimenez-Martinez, J., & Martin-De Hoyos, M. (2019). Tell me your age and I tell you what you trust: the moderating effect of generations. Internet Research, 29(4), 799-817.

Herrero, Á., & San Martín, H. (2017). Explaining the adoption of social networks sites for sharing user-generated content: A revision of the UTAUT2. Computers in Human Behavior, 71, 209-217.

Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269-1291.

Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: an extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84.

Hsiao, C.-H., Chang, J.-J., & Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.

Hsu, C.-L., & Lin, J. C.-C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53.

Huang, S.-Y., Yang, M. M., & Chen, C.-H. (2018). When Do Motivational Factors Lead to Negative User Experience on Social Networking Applications? Australasian Journal of Information Systems, 22. doi:10.3127/ajis.v22i0.1533

Hult, G. T. M., Sharma, P. N., Morgeson III, F. V., & Zhang, Y. (2019). Antecedents and Consequences of Customer Satisfaction: Do They Differ Across Online and Offline Purchases? Journal of Retailing, 95(1), 10-23.

Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers. Computers in Human Behavior, 73, 353-361.

Insley, V., & Nunan, D. (2014). Gamification and the online retail experience. International Journal of Retail & Distribution Management, 42(5), 340-351.

Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2), 357-389.

Jensen, J. M. (2012). Shopping orientation and online travel shopping: the role of travel experience. International Journal of Tourism Research, 14(1), 56-70.

Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, 35(9), 703-719.

Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039-1056.

Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.

Khare, A., Khare, A., & Singh, S. (2012). Attracting shoppers to shop online—Challenges and opportunities for the Indian retail sector. Journal of Internet Commerce, 11(2), 161-185.

Kim, H.-W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11(3), 241-252.

Kim, M.-J., Chung, N., & Lee, C.-K. (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.

Kim, S.-H., & Park, H. J. (2011). Effects of social influence on consumers' voluntary adoption of innovations prompted by others. Journal of Business Research, 64(11), 1190-1194.

Kim, S., Choe, J. Y., & Lee, S. (2018). How are food value video clips effective in promoting food tourism? Generation Y versus non–Generation Y. Journal of Travel & Tourism Marketing, 35(3), 377-393.

Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67-77.

Kindström, D., & Kowalkowski, C. (2014). Service innovation in product-centric firms: A multidimensional business model perspective. Journal of Business & Industrial Marketing, 29(2), 96-111.

Kumar, A., & Lim, H. (2008). Age differences in mobile service perceptions: comparison of Generation Y and baby boomers. Journal of Services Marketing, 22(7), 568-577.

Kumar, S., & Sadarangani, P. (2018). An Empirical Study on Shopping Motivation among Generation Y Indian. Global Business Review, 0972150918807085.

Ladhari, R., Gonthier, J., & Lajante, M. (2019). Generation Y and online fashion shopping: Orientations and profiles. Journal of Retailing and Consumer Services, 48, 113-121.

Lee, C.-K., Lee, Y.-K., & Wicks, B. E. (2004). Segmentation of festival motivation by nationality and satisfaction. Tourism Management, 25(1), 61-70.

Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. doi:10.1177/0972150918807085

Li, L., & Buhalis, D. (2006). E-Commerce in China: The case of travel. International Journal of Information Management, 26(2), 153-166.

Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14-24.

Lim, W. M. (2018a). Dialectic antidotes to critics of the technology acceptance model: Conceptual, methodological, and replication treatments for behavioural modelling in technology-mediated environments. Australasian Journal of Information Systems, 22. doi:10.3127/ajis.v22i0.1651

Lim, W. M. (2018b). Revisiting concepts and theories in information systems and technology. Australasian Journal of Information Systems, 22. doi:10.3127/ajis.v22i0.1733

Lim, W. M., Lim, A. L., & Phang, C. S. C. (2019). Toward a conceptual framework for social media adoption by non-urban communities for non-profit activities: Insights from an integration of grand theories of technology acceptance. Australasian Journal of Information Systems, 23. doi: 10.3127/ajis.v23i0.1835

Lim, W. M., & Mandrinos, S. (2020). Incidental findings on multimodel comparison, hypothesis testing error, and its solution. Australasian Journal of Information Systems, 24.

Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 705-737.

Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 421-432.

Lissitsa, S., & Kol, O. (2019). Four generational cohorts and hedonic m-shopping: association between personality traits and purchase intention. Electronic Commerce Research, 1-26.

Lu, Y., Cao, Y., Wang, B., & Yang, S. (2011). A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27(1), 355-364.

Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: a developing country perspective. Journal of Indian Business Research, 8(3), 227-244.

Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. Journal of Retailing and Consumer Services, 42, 133-146.

Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.

Mazaheri, E., Lagzian, M., & Hemmat, Z. (2020). Research Directions in Information Systems Field, Current Status and Future Trends: A literature analysis of AIS Basket of Top Journals. Australasian Journal of Information Systems, 24. doi:10.3127/ajis.v24i0.2045

McBride, M., Carter, L., & Phillips, B. (2020). Integrating the theory of planned behavior and behavioral attitudes to explore texting among young drivers in the US. International Journal of Information Management, 50, 365-374.

Meredith, G., & Schewe, C. (1994). The power of cohorts. American Demographics, 16(12), 22-28.

Morosan, C., & DeFranco, A. (2016). It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17-29.

Nakagawa, S. S. Y., & Gouvêa, M. A. (2010). Identification of influent factors on products purchase through internet. Paper presented at the POMS 21st Annual Conference, Vancouver, Canada.

Nam, K., Baker, J., Ahmad, N., & Goo, J. (2018). Dissatisfaction, disconfirmation, and distrust: An empirical examination of value co-destruction through negative electronic word-of-mouth (eWOM). Information Systems Frontiers, 22, 113-130.

Nicolau, J. L., & Santa-María, M. J. (2013). The effect of innovation on hotel market value. International Journal of Hospitality Management, 32, 71-79.

Nishijima, M., Ivanauskas, T. M., & Sarti, F. M. (2017). Evolution and determinants of digital divide in Brazil (2005–2013). Telecommunications policy, 41(1), 12-24.

Njite, D., & Schaffer, J. (2017). Revisiting attributes: how important is green in the consumer selection of hotel rooms? International Journal of Hospitality & Tourism Administration, 18(2), 219-244.

Nunnally, J. C., & Bernstein, I. (1994). Psychometric Theory (McGraw-Hill Series in Psychology) (Vol. 3): McGraw-Hill New York.

Ozturk, A. B., Nusair, K., Okumus, F., & Hua, N. (2016). The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57, 106-115.

Palau-Saumell, R., Forgas-Coll, S., Amaya-Molinar, C. M., & Sánchez-García, J. (2016). Examining how country image influences destination image in a behavioral intentions model: The cases of Lloret De Mar (Spain) and Cancun (Mexico). Journal of Travel & Tourism Marketing, 33(7), 949-965.

ParidahDaud, S. N. B. A., & Fung, K. I. (2018). The influence of consumer perceived risks on online consumer’s repurchase behavior in Malaysia online shopping: the mediating role of consumer attitude. Asian Journal of Science and Technology, 9(12), 9143-9150.

Park, C., & Jun, J. (2002). A cross-cultural comparison of online buying intention: effects of internet usage, perceived risks, and innovativeness. Paper presented at the The AusWeb02: Eighth Australian World Wide Web Conference.

Parment, A. (2013). Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing. Journal of Retailing and Consumer Services, 20(2), 189-199.

Pascual-Miguel, F. J., Agudo-Peregrina, Á. F., & Chaparro-Peláez, J. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68(7), 1550-1556.

Pelaez, A., Chen, C.-W., & Chen, Y. X. (2019). Effects of perceived risk on intention to purchase: A meta-analysis. Journal of Computer Information Systems, 59(1), 73-84.

Pendergast, D. (2010). Getting to know the Y generation. Tourism and generation Y, 1, 1-15.

Pennington-Gray, L., Fridgen, J. D., & Stynes, D. (2003). Cohort segmentation: An application to tourism. Leisure Sciences, 25(4), 341-361.

Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302.

Ramantoko, G., Putra, G., Ariyanti, M., & Sianturi, N. V. (2016). Early Adoption Characteristic of Consumers' Behavioral Intention to Use Home Digital Services in Indonesia. Paper presented at the 3rd International Seminar and Conference on Learning Organization.

Ramírez-Correa, P., Rondán-Cataluña, F. J., & Arenas-Gaitán, J. (2014). An empirical analysis of mobile Internet acceptance in Chile. Information Research, 19(3), 19-13.

Ramsay, G., Dodds, R., Furtado, D., Mykhayletska, Y., Kirichenko, A., & Majedian, M. (2017). The Barriers to Millennials Visiting Rouge Urban National Park. Sustainability, 9(6), 904.

Rehman, Z. U., Baharun, R., & Salleh, N. Z. M. (2020). Antecedents, consequences, and reducers of perceived risk in social media: A systematic literature review and directions for further research. Psychology & Marketing, 37(1), 74-86.

Rogers, E. (1995). Diffusion of Innovations (4th Eds.) ACM The Free Press (Sept. 2001). New York, 15-23.

Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations; A Cross-Cultural Approach. New York: The Free Press

Sait, S., Al-Tawil, K., & Hussain, S. (2004). E-commerce in Saudi Arabia: Adoption and perspectives. Australasian Journal of Information Systems, 12(1). doi: 10.3127/ajis.v12i1.105

Samhan, B. (2018). Revisiting Technology Resistance: Current Insights and Future Directions. Australasian Journal of Information Systems, 22. doi: 10.3127/ajis.v22i0.1655

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.

Sandvik, I. L., Duhan, D. F., & Sandvik, K. (2014). Innovativeness and profitability: An empirical investigation in the Norwegian hotel industry. Cornell Hospitality Quarterly, 55(2), 165-185.

Schewe, C. D., Meredith, G. E., & Noble, S. M. (2000). Defining moments: Segmenting by cohorts. Marketing Management, 9(3), 48-53.

Sharma, R., Singh, G., & Sharma, S. (2020). Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 53, 102116.

Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354.

Shulga, L. V., Busser, J. A., & Kim, H. (2018). Generational profiles in value Co-creation interactions. Journal of Hospitality Marketing & Management, 27(2), 196-217.

Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2014). Devising a research model to examine adoption of mobile payments: An extension of UTAUT2. The Marketing Review, 14(3), 310-335.

Smith, R., Deitz, G., Royne, M. B., Hansen, J. D., Grünhagen, M., & Witte, C. (2013). Cross-cultural examination of online shopping behavior: A comparison of Norway, Germany, and the United States. Journal of Business Research, 66(3), 328-335.

Song, H., Lee, C.-K., Reisinger, Y., & Xu, H.-L. (2017). The role of visa exemption in Chinese tourists’ decision-making: a model of goal-directed behavior. Journal of Travel & Tourism Marketing, 34(5), 666-679.

Strauss, W., & Howe, N. (1991). Generations: The History of America’s Future, 1584 to 2069. New York, NY: William Morrow and Company: Inc.

Suh, E., Alhaery, M., Abarbanel, B., & McKenna, A. (2017). Examining millennials’ online gambling behavior: a comparison of generational differences. Journal of Hospitality and Tourism Technology, 8(3), 314-336.

Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019). The battle of brain vs. heart: a literature review and meta-analysis of “hedonic motivation” use in UTAUT2. International Journal of Information Management, 46, 222-235.

Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: the next frontier of mobile payment? Telematics and Informatics, 31(2), 292-307.

Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: A structural equation modeling approach. Information Technology & People, 29(4), 830-849.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.

Teubner, R., & Klein, S. (1998). Planning and Designing Web-Based Electronic Commerce: a case study in the insurance industry. Australasian Journal of Information Systems, 6(1).

Triandis, H. (1977). Interpersonal behavior (p. 329). Monterey, CA: Brooks: Cole Publishing Company.

Tsaur, S.-H., & Yen, C.-H. (2018). Work–leisure conflict and its consequences: Do generational differences matter? Tourism Management, 69, 121-131.

Varma Citrin, A., Sprott, D. E., Silverman, S. N., & Stem Jr, D. E. (2000). Adoption of Internet shopping: the role of consumer innovativeness. Industrial Management & Data Systems, 100(7), 294-300.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.

Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & Management, 41(6), 747-762.

Wang, X., Weeger, A., & Gewald, H. (2017). Factors driving employee participation in corporate BYOD programs: A cross-national comparison from the perspective of future employees. Australasian Journal of Information Systems, 21.

Wen, I. (2010). Online travelers' decision makings: a new equation model to evaluate impacts of website, search intention, and trust. Information Technology & Tourism, 12(2), 153-173.

Wu, C.-H., & Chen, S.-C. (2015). Understanding the relationships of critical factors to Facebook educational usage intention. Internet Research, 25(2), 262-278.

Xu, X., & Pratt, S. (2018). Social media influencers as endorsers to promote travel destinations: an application of self-congruence theory to the Chinese Generation Y. Journal of Travel & Tourism Marketing, 35(7), 958-972. doi:10.1080/10548408.2018.1468851

Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.

Yang, Z., & Fang, X. (2004). Online service quality dimensions and their relationships with satisfaction: A content analysis of customer reviews of securities brokerage services. International Journal of Service Industry Management, 15(3), 302-326.

Zhang, T., Abound Omran, B., & Cobanoglu, C. (2017). Generation Y’s positive and negative eWOM: use of social media and mobile technology. International Journal of Contemporary Hospitality Management, 29(2), 732-761.

Zhuang, H., Leszczyc, P. T. P., & Lin, Y. (2018). Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion. Journal of Retailing. 94(2), 136-153.




How to Cite

Sharma, S., Singh , G. ., & Pratt, S. . (2020). Does Consumers’ Intention to Purchase Travel Online Differ Across Generations? : Empirical Evidence from Australia. Australasian Journal of Information Systems, 24.



Research Articles