Determinants of Attitude Tourist in E-Tourism Usage

 
 
 
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  • Keywords
  • References
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  • Abstract


    This paper examine the influence of five variables on attitude tourist: perceived ease of use, perceived usefulness, self efficacy, domain specific innovativeness, and experience. The analysis attitude tourist toward e-tourism usage gauges the moderating role of e-trust. A sample of 216 tourist of was analyzed using structural equation modeling. Result show that perceived ease of use, perceived usefulness, domain specific inovativeness, and experience significantly influence attitude tourist. E-trust moderates the impact of e-tourism usage. These results entail a better understanding of specificities, with practical actions for addressing their real needs and expectations. The study limitations, implications, along with directions for further research are discussed.

     

     

     


  • Keywords


    Attitude Tourist Determinants; E-Tourism Usage; E-Trust; Structural Equation Modeling.

  • References


      [1] S. Nirwandar. (2014, August) Pariwisata indonesia lampaui pertumbuhan ekonomi. Online. Tempo. Downloaded on August 14, 2018. [Online]. Available: http://www.tempo.co/read/news/2014/03/06/202559869/Pariwisata-Indonesia-Lampaui-Pertumbuhan-Ekonomi

      [2] Jonathan, C. Janice and Tarigan, R. Effendi., (2016), “The effect of e-tourism to the development of tourism sector in Indonesia”, Commit Journal 10 (2) pp. 59-62 https://doi.org/10.21512/commit.v10i2.1669.

      [3] Hill, W. W., and Beatty, S.E. (2011) A model of adolescents’ online consumer self-efficacy (OCSE). Journal of Business Research, 64, pp. 1025 – 1033. https://doi.org/10.1016/j.jbusres.2010.11.008.

      [4] Buhalis, D. (2003) e-Tourism: Information technology for strategic tourism management. London: Prentice Hall.

      [5] J. Cardoso., (2005) E-tourism: creating dynamic packages using semantic web processes, in W3C workshop on frameworks for semantics in web services.

      [6] Steinbauer, A., and Werthner, H., (2007) Consumer behavior in e-tourism. Information And Communication Technologies in Tourism, pp. 65-76. https://doi.org/10.1007/978-3-211-69566-1_7.

      [7] Jung, H., and Baker, M., (1998) Assesing the market effectiveness of the world-wide-web in National Tourism Offices, Buhalis, D., Jafar, J., Toja, A., (Eds.) Information and Communication Technologies in Tourism, pp. 95-102. https://doi.org/10.1007/978-3-7091-7504-0_11.

      [8] Werthner, H., and Klein (1999) Information Technology and Tourism – A Challenging Relationship, New York/Vienna. https://doi.org/10.1007/978-3-7091-6363-4.

      [9] Lian, J., and Lin, T., (2008) Effect of customer characteristics on their acceptance of online shopping: comparisons among different product types. Computers in Human Behavior, 24, pp. 48-65. https://doi.org/10.1016/j.chb.2007.01.002.

      [10] Wu, S., (2003) The relationship between consumer characteristics and attitude toward online shopping. Marketing intelligence and planning, 21(1), pp. 37-44. https://doi.org/10.1108/02634500310458135.

      [11] Phocuswright, (2005) Travel innovation: the state of startups 2005-2014. Region U.S. and Canada. The Travel Innovation Summit. The phocuswright conference and phocuswright europe.

      [12] Davis, F. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, pp-319-340. https://doi.org/10.2307/249008.

      [13] Fishbein, M., and Ajzen, I, (1975). Beliefs, attitude, intention, and behavior: an introduction to theory and research, Boston: Addison-Wesley. Reading MA.

      [14] Davis, F. D., Bagozzi, R. P., and Warshaw, P.R. (1989) User Acceptance of Computer Technology: A Comparison of two Theoretical Models. Maryland. https://doi.org/10.1287/mnsc.35.8.982.

      [15] Davis, F. D., (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation. Sloan School of Management, MIT.

      [16] Anckar, B., and Walden, P., (2000) Destination Maui? An exploratory assesment of the efficacy of self-booking in travel. Electronic Markets, 10(2), 110-119. https://doi.org/10.1080/10196780050138164.

      [17] Chau, P., Y., K., Cole, M., Massey, A., P., Montoya-Weiss, M., and O’Keefe, R., M., (2002) Cultural differences in the online behavior of customers. Communications of the ACM, 45, 10 Oct, pp. 139-143. https://doi.org/10.1145/570907.570911.

      [18] Christou, E., and Kassianidis, P., (2002) Consumer’s perceptions and adoption of online buying for travel products. Journal of Travel and Tourism Marketing, 12(4), pp. 93-107. https://doi.org/10.1300/J073v12n04_06.

      [19] Citrin, A.V., Sprott, D.E., Silverman, S. N., and Stem, D.E., (2000) Adoption of Internet shopping: The role of consumer innovativeness. Industrial Management and Data System, 100 (7), pp. 294-300. https://doi.org/10.1108/02635570010304806.

      [20] Marrison, A. M., Jing, S., O'Leary, J.T., and Lipping, A.C (2001). Predicting Usage of the Internet for travel bookings: an exploratory study. Information Technology & Tourism, 4, pp. 15-30. https://doi.org/10.3727/109830501108750868.

      [21] Vijayasarathy, L., R., (2004) Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model. Information and Management, 41 (6), pp. 747-762. https://doi.org/10.1016/j.im.2003.08.011.

      [22] Williams, DR. (2002) Leisure identities, globalization, and the politics of place. Journal of Leisure Research, 34(4), pp. 351-67. https://doi.org/10.1080/00222216.2002.11949976.

      [23] Blacklund, E., A., Williams, DR. (2003) A quantitative synthesis of place attachment research: investigating past experience and place attachment. Paper presented at the Northeastern Recreation Research Symposium. New York: Bolton Landing, 6-8 April.

      [24] Fishbein, M., Ajzen, I. (1980) Understanding Attitudes and Predicting Social Behaviour. London.

      [25] Mayer, R. C., Davis, J. H., and Schoorman, F.D., (1995) An integrative model of organizational trust, Academy of Management Review, Vol. 20 No. 3, pp.709-34. https://doi.org/10.5465/amr.1995.9508080335.

      [26] McKnight, D. H., Choudhury, V., and Kacmar, C., (2002) Developing and validating trust measures for e-commerce: an integrative typology. Information systems research, Vol. 13 No. 3, pp. 334-59 https://doi.org/10.1287/isre.13.3.334.81.

      [27] Radner, R. and Rothschild, M. (1975) On theAllocation of Effort, Journal of economic theory (10), pp. 358-376. https://doi.org/10.1016/0022-0531(75)90006-X.

      [28] Pfeffer, J., (1982) Organizations and Organization Theory, Pitman, Boston, MA.

      [29] Schein, E. H., (1980) Organizational Psychology, thrid edition, Prentice-Hall, Englewood Cliffs, NJ.

      [30] Vroom, V. (1964) Work and Motivation. New York: Wiley.

      [31] Li, L and, Dimitrios, Buhalis (2005). Predicting Internet Usage for Travel Bookings in China. Information and Communication Technologies in Tourism 2005-Proceedings of the Internal Conference in Innsbruck pp. 429-439. https://doi.org/10.1007/3-211-27283-6_39.

      [32] Bandura, A., (1982) Self-efficacy mechanism in Human Agency, “American Psychologist (37:2), February, pp.122-147. https://doi.org/10.1037/0003-066X.37.2.122.

      [33] Tamimi, N., Rajan, M., Rose, S., (2003) The state of online retailing, internet research. Vol. 13 Iss. 3 pp. 146-155. https://doi.org/10.1108/10662240310478178.

      [34] Cho, N., and Park, S., (2001) Development of electronic commerce User-Consumer Satisfaction Index (UCSI) for internet shopping, Industrial Management and Data Systems, 101(8), pp. 400-405. https://doi.org/10.1108/EUM0000000006170.

      [35] Watchfire Whitepaper Series, (2000) Bad things shouldn’t happen to good wesites: best practices for managing the web experience. Retrieved from http://www.watchfire.com/resources/search-and-yeshall-find.pdf

      [36] Reichheld, F.F., and Schefter, P., (2000) The loyalty: your secret weapn on the web, Havard Business Review, Vol. 78, 4, pp. 105-115.

      [37] Jin, B., Park, J. Y., and Kim, J. (2008) A cross-cultural examination of the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review. 25(3), pp. 324-337. https://doi.org/10.1108/02651330810877243.

      [38] Ribbink D, Van Riel, Liljander V, Streukens S, (2004) Comport your online customer: quality, trust, and loyalty on the internet. Manag serv Q 14(6):pp. 446-456. https://doi.org/10.1108/09604520410569784.

      [39] Kassim, N., and Abdullah, N., A (2010) The effect of perceived service quality dimensions on customer satisfaction, trust and loyalty in e-commerce settings: a cross cultural analysis, Asia Pacific Journal Marketing and Logistics, Vol. 22, Iss: 3, pp. 351-371. https://doi.org/10.1108/13555851011062269.

      [40] Bonn, M., A., Furr, H., L., and Susskind, A., M., (1999) Predicting a behavioral profile for pleasure travelers on the basis of internet use segmentation. Journal of Travel Research, 37(4), pp. 330-340. https://doi.org/10.1177/004728759903700403.

      [41] Bonn, M., A., Furr, H., L., and Hausman, A., (2001) Using internet technology to request travel information and purchase travel services. A comparison of X’ers, Boomers and mature market segments visiting Florida. “In consumer psychology of tourism, hospitality and leisure. Vol. 2, edited by J., A. Mazanec, G.I. Crouch, J. R. Brent, A. G. Woodside. New York: CABI, pp. 187-193. https://doi.org/10.1079/9780851995359.0187.

      [42] Sexton, R., S., Johnson, R., A., and Hignite, M., A., (2002) Predicting internet/ e-commerce use. Internet Research: Electronic Network Application and Polocy, 112 (5), pp. 402-410. https://doi.org/10.1108/10662240210447155.

      [43] Weber, K., and Roehl, W. S., (1999) Profiling people searching for and purchasing travel products on the World Wide Web. Journal of Travel Research, 37(3), pp. 291-298. https://doi.org/10.1177/004728759903700311.

      [44] Hair, Jr., J.F., Bush, Sr. Robert P, Ortinau, David L., (2009) Marketing research: in a digital information environment, fourth edition, international edition. Mcgraw-hill companies inc, New Jersey, USA.

      [45] Malhotra, Naresh K., (2007) Marketing research: an applied orientation, Fifth Edition, Pearson International Edition, New Jersey, USA.

      [46] Neuman, W. Lawrence (2000) Social research methods, quantitative and qualitative approach, fourth edition, needham heights MA: a pearson education company.

      [47] Hair, Jr., J. F., William C, Babin, Barry J, Anderson, Rolph E., (2010) Multivariate data analysis: a Global Perspective, Seventh Edition, Global Edition, Pearson Education, Inc, New Jersey, USA.

      [48] Tung, L. L., Tan, P. L. J., Chia, P. J. T., Koh, Y. L., and Yeo, H. L., (2001) An Empirical Investigation of Virtual Communities and Trust, Proceedings of Twenty-Second International Conference on Information Systems, pp. 307-319.

      [49] Ridings, C. M., Gefen, D., dan Arinze, B., (2002) Some Antecedents and Effect of Trust in Virtual Communities, Journal of Strategic Information Systems, 11: pp. 271-295. https://doi.org/10.1016/S0963-8687(02)00021-5.

      [50] Mukherjee, A., dan Nath, P., (2003) A Model of Trust in Online Relationship Banking, International Journal of Bank Marketing , 21 (1): pp. 5-15. https://doi.org/10.1108/02652320310457767.

      [51] Corbit, B. J., Thanasankit, T., and Yi, H., (2003) Trust and E-commerce: a Study of Consumer Perceptions, Electronic Commerce Research and Application, 2: pp. 203-215. https://doi.org/10.1016/S1567-4223(03)00024-3.

      [52] Beiger, T., Bertelli, P., Weinert, R., and Wittmer, A. (2005) Building Trust and Identity on the Web – New IT Transaction Platforms to Overcome Psychological Barrier to Rent. In A Frew (Eds.). Information and Communication Technologies in Tourism 2005-Proceedings of the Internal Conference in Innsbruck.

      [53] DeLone, W. H and McLean, E. R. (2004) Applying the DeLone and McLean Information Systems Success Model. International Journal of Electronic Commerce, 9 (1), pp. 31-47. https://doi.org/10.1080/10864415.2004.11044317.

      [54] Fesenmaier, D., and Jhonson, B (1989) Involvement-based segmentation: implications for travel marketing in Texas. Tourism Management, 10, pp. 293-300 https://doi.org/10.1016/0261-5177(89)90007-1.

      [55] Gretzel, U., Mitsche, N., Hwang, Y. H., Fesenmaier, D. (2004) Tell me who you are and I will tell you where to go – use of travel personalities in destination recommendation systems. Information Technology and Tourism, 7 (1), pp. 3-12. https://doi.org/10.3727/1098305042781129.

      [56] Gursoy, D. and McCleary, K. (2004) An Integrative Model of Tourists Information Search Behaviour. Annals of Tourism Research, 31 (2), pp. 353-373. https://doi.org/10.1016/j.annals.2003.12.004.

      [57] Jung, T and Butler, R (2000). The Measurement of the Marketing Effectiveness of the Internet in the Tourism and Hospitality Industry. In D. Fesenmaier, S. Klein, D. Buhalis (Eds.) Information and Communication Technologies in Tourism 2000 – Proceeding of the International Conference in Barcelona, pp. 461-471. https://doi.org/10.1007/978-3-7091-6291-0_42.

      [58] Kroeber-Riel, W. and Weinberg, P (1996). Konsumentenverhalten. Munchen.

      [59] Luo, M. and Feng, R. Cai, L (2004). Information Search Behavior and Tourist Characteristics: The Internet vis-a-vis Other Information Sources. Handbook of Consumer Behavior, Tourism, and the Internet. Harworth, pp. 15-25. https://doi.org/10.1300/J073v17n02_02.

      [60] Mills, J. E. and Marrison, A. M. (2003b) Expanding and Re-Testing E-SAT: an instrument and structural model for measuring customer satisfaction with travel websites. Travel and Tourism Research Association Conference. St. Louis. https://doi.org/10.1007/978-3-7091-6027-5_2.

      [61] Morrison, A., M., Jing, S., O’Leary, J., T., and Lipping, A., Cait, (2001) Predicting usage of the internet for travel bookings: an exploratory study. Information Technology and Tourism, 4, pp. 15-30. https://doi.org/10.3727/109830501108750868.

      [62] Scharl, Arno Karl W. Wober, Christian Bauer, (2004) An integrated approach to measure web site effectiveness in the european hotel industry. Informatics Technology & Tourism, Vol. 6 pp. 257-271. https://doi.org/10.3727/1098305032781157.

      [63] Schmidt, I., Schogel, M., and Tomczak, T (2003) Nutzung von Distributionskanalen aus Kundensicht: Eine explorative Analyse der Reisebranche. In C. Belz, T. Tomzack, T. Rudolph (Eds.) Thexis- Fachbericht fur Marketing. St. Gallen.

      [64] Sigala, M., and Sakellaridis, O. (2004) Web User’s Cultural Profiles and e-Service Quality: Internationalisation implications for tourism websites. Information Technology and Tourism, 7, pp 13-21. https://doi.org/10.3727/1098305042781101.

      [65] Schramm-Klein, H. (2003) Multi-Channel-Retailing- Verhaltenswissenschafiliche Analyse der Wirkung von Mehrkanalsystemen im Handel. Wiesbaden.

      [66] Wolff, M. (2005) Determinanten und Beeinflussungsstrategien des Kundenadoptions-und-nutzungsverhaltens von Distributionskanalen – Eine absatzabschlussfokussierte Analyse aus der Kundenperspektive, Inaugural-Dissertation an der Ludwig-Maximallians-Universitat Munchen. Munchen.

      [67] Chau, P., Y., K., (1996b.) An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information and Management 30(6), pp. 269-280. https://doi.org/10.1016/S0378-7206(96)01074-9.

      [68] Gross, Michael J., and Brown, Graham., (2006) Tourism experiences in a lifestyle destination setting: The roles of involvement and place attachment. https://doi.org/10.1016/j.jbusres.2005.12.002.

      [69] Jin, B., Park, J. Y., and Kim, J. (2007) Cross-cultural examination of the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review, 25(3), pp.324-337. https://doi.org/10.1108/02651330810877243.

      [70] Cyr, D., Kindra, G.S. and Dash, S. (2008) Web site design, trust, satisfaction, and e-loyalty: the Indian experience. Online Information Review, 32(6), pp. 773-790 https://doi.org/10.1108/14684520810923935.

      [71] Kim, W., Di Benedetto C, Lancioni, R. (2011) The effects of country and gender differences on consumer innovativeness and decision processes in a highly globaliized high-tech product market. Asia Pasific J Market Logist 23(5), pp. 714-744. https://doi.org/10.1108/13555851111183101.

      [72] Wu, J. J., and Chang, Y.S., (2005) Towards understanding members’ interactivity, trust, and flow in online travel community, Industrial Management & Data Systems Vol. 105 No. 7, pp. 937-954. https://doi.org/10.1108/02635570510616120.

      [73] Pereira, H., Goncalves, and Salgueiro, Maria de Fatima., (2016) Online determinants of e-customer satisfaction: application to website purchases in tourism. https://doi.org/10.1007/s11628-016-0313-6.

      [74] Chen, C. (2006) Identifying significant factors influencing consumer trust in an online travel site. Information Technology and Tourism, 8 (3/4), pp. 197-214. https://doi.org/10.3727/109830506778690849.

      [75] Tam, Jackie Lai-Ming., (2012) The moderating role perceived risk in loyalty intention: an investigation in service context. Marketing intelligence and planning, Vol. 30 No.1, pp. 33-52. https://doi.org/10.1108/02634501211193903.

      [76] Jarach, D., (2002) The digitalization of market relationships in the airline business: the impact and prospect of e-business, Journal of Air Transport Management, 8(2), pp. 115-120. https://doi.org/10.1016/S0969-6997(01)00039-4.

      [77] Shon, Z. Y., Chen, F., Y., and Chang, Y., H., (2003) Airline e-commerce: the revolution in ticketing channels. Journal of Air Transport Management, 9 (3), pp. 285-295. https://doi.org/10.1016/S0969-6997(03)00040-1.

      [78] Bandura, A., (1997) Self efficacy: the exercise of control, W. H. Freeman, New York.

      [79] Eastin, M.S. (2002) Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities. Telematics and Informatics, 19 (3), pp. 251-267 https://doi.org/10.1016/S0736-5853(01)00005-3.

      [80] O`Cass, A., and Fenech, T., (2003) Web retailing adoption: Exploring the future of internet users web retailing behavior. Journal of Retailing and Consumers Services, 10 (2), pp. 81-94. https://doi.org/10.1016/S0969-6989(02)00004-8.

      [81] Perea y Monsuwe, T., Dellaert, B., and de Ruyter, K. (2004) What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15 (1), pp. 102-121. https://doi.org/10.1108/09564230410523358.

      [82] Wei, L., and Zhang, M. (2008) The impact of internet knowledge on college student’s intention to continue to use the internet. Information Research, 13 (3), pp. 1-22.

      [83] Hernandez, B., Jimenez, J., and Martin, M. J., (2011) Age, gender and income: do they really moderate online shopping behaviour?. Online Information Review, 35 (1), pp. 113-133. https://doi.org/10.1108/14684521111113614.

      [84] Hernandez, B., Jimenez, J., and Martin, M. J., (2009) The impact of self-efficacy, ease of use and usefulness on e-purchasing: an analysis of experienced e-shoppers. Interacting with computers, 21, pp. 146-156. https://doi.org/10.1016/j.intcom.2008.11.001.

      [85] Qi, F., and L. Yan, (2009) Competitive Determinants of Consumer Satisfaction in e-commerce, journal of academy of business and economics, Vol.9, 1:pp. 79-83.

      [86] Wu, J.J., and Chang, Y.S., (2006) Effect of transaction trust on e-commerce relationships between travel agencies. Tourism Management. 27(6): pp.1253-1261. https://doi.org/10.1016/j.tourman.2005.06.009.

      [87] Cyr, D. (2008) Modeling web site design across cultures: relationships to trust, satisfaction, and e-loyalty. Journal of Management Information Systems. 24 (4), pp 47-72. https://doi.org/10.2753/MIS0742-1222240402.

      [88] Harris, L., Goode, M., 2004. The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of Retailing 80, 139–158. https://doi.org/10.1016/j.jretai.2004.04.002.

      [89] McKnight, D. H., and Chervany, N., L., (2001) Conceptualizing trust: a typology and e-commerce customer relationships model. In proceedings of the 34th Hawaii International conference on system science. IEEE.

      [90] Kim, H., Kim T., and Shin, S.W., (2009) Modeling roles of subjective norms e-Trust in customers acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), pp. 266-277. https://doi.org/10.1016/j.tourman.2008.07.001.

      [91] Kim, J. and Forsythe, S., (2010) Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retail & Distribution Management, 38 (3), pp. 190-204. https://doi.org/10.1108/09590551011027122.


 

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Article ID: 12189
 
DOI: 10.14419/ijet.v7i4.12189




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