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Explaining Online Purchase Planning Experiences with Recommender Websites

  • Conference paper
Information and Communication Technologies in Tourism 2005

Abstract

E-commerce, purchase activities on the Web became more and more important. However, there is an abundance of information which makes it increasingly difficult to find a desired piece of information. Thus, recommender systems are a valuable and convenient tool to overcome this problem. A lot of studies investigated factors which contribute to the satisfaction with the usage of websites. However, research considering the peculiarities of recommenders is very limited. This study aims to enhance an appropriate model explaining satisfaction with and commitment to recommender systems which are not limited to pure information retrieval. An empirical investigation was conducted evaluating three different recommender systems (flight, travel, digital cameras). Findings suggest a strong influence from on-line experiences such as trust, flow, and exploratory browsing. These factors, in turn, are partially driven by personal characteristics such as internet expertise, product involvement, and internet purchase attitudes.

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References

  • Bagozzi, R. P. & T. F. Heatherton (1994). A general approach to representing multifaceted personality constructs: Application to coupon usage. Structural Equation Modeling, 1(1), 35–67.

    Article  Google Scholar 

  • Baumgartner, H. & J.-B. E. M. Steenkamp (1996). Exploratory consumer buying behavior: Conceptualization and measurement. International Journal of Research in Marketing 13, 121–137.

    Article  Google Scholar 

  • Bloch, P.H., D.L. Sherrell & N.M. Ridgway (1986). Consumer Search: An Extended Framework. Journal of Consumer Research, 13(June), 119–126.

    Google Scholar 

  • Chang, J. C.-J., G. Torkzadeh & G. Dhillon (2004). Re-examining the measurement models of success for internet commerce. Information & Management, 41(5), 577–584.

    Article  Google Scholar 

  • Csikszentmihalyi, M. (1982). Beyond boredom and anxiety. San Francisco, California.: Jossey-Bass.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 38(3), 319–339.

    Article  Google Scholar 

  • Dubé, L., J. Le Bel & D. Sears (2003). From customer value to engineering pleasurable experiences in real life and online. Cornell Hotel and Restaurant Administration Quarterly, October–Decemer 2003, 124–130.

    Google Scholar 

  • Fesenmaier, D.R., U. Gretzel & Y.-H. Hwang (2004). Modeling Experience in Online Travel Planning. (Work in Progress). In: A. J. Frew (ed.), Information and Communication Technologies in Tourism, (CD), Cairo, Egypt.

    Google Scholar 

  • Gefen, D. & D. W. Straub (2004). Consumer trust in b2c e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, In Press, Corrected Proof.

    Google Scholar 

  • Hoffman, D. L. & T. P. Novak (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60, 50–68.

    Article  Google Scholar 

  • Jeong, M. & C. U. Lambert (2001). Adaptation of an information quality framework to measure customers' behavioral intentions to use lodging web sites. International Journal of Hospitality Management, 20(2), 129–146.

    Article  Google Scholar 

  • Koufaris, M. & W. Hampton-Sosa (2004). The development of initial trust in an online company by new customers. Information & Management, 41(3), 377–397.

    Article  Google Scholar 

  • Lederer, A. L., D. J. Maupin, M. P. Sena & Y. Zhuang (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29(3), 269–282.

    Article  Google Scholar 

  • Lewis, J. R. (1995). IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction, 7(1), 57–78.

    Article  Google Scholar 

  • Novak, T. P., D. L. Hoffman & Y.-F. Yung (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42.

    Article  Google Scholar 

  • Swearingen, K. & R. Sinha (2001). Beyond algorithms: An HCI perspectives on recommender systems. Workshop on Recommender Systems at ACM SIGIR Conference. New Orleans, Louisiana.

    Google Scholar 

  • Van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in the netherlands. Information & Management, 40, 541–549.

    Article  Google Scholar 

  • Wang, Y.-S., T.-I. Tang & J.-T. Tang, E. (2001). An instrument for measuring customer satisfaction toward web sites that market digital products and services. Journal of Electronic Commerce Research, 2(3), 89–102.

    Google Scholar 

  • Webster, J., L.K. Trevino & L. Ryan (1993). The Dimensionality and Correlates of Flow in Human Computer Interactions. Computers in Human Behavior, 9(4), Winter, 411–426.

    Article  Google Scholar 

  • Wöber, K. W., A. Scharl, M. Natter & A. Taudes (2002). Success factors of European hotel web sites. In K. W. Wöber, A. J. Frew and M. Hitz (eds.), 9th International Conference on Information and Communication Technologies in Tourism. pp. 397–406. Innsbruck, Austria: Springer.

    Google Scholar 

  • Yi, M. Y. & Y. Hwang (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431–449.

    Article  Google Scholar 

  • Zins, A. H., U. Bauernfeind, F. Del Missier, A. Venturini & H. Rumetshofer (2004). An experimental usability test for different destination recommender systems. In A. J. Frew (ed.), ENTER 2004 conference. Cairo, Egypt.

    Google Scholar 

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© 2005 Springer-Verlag Wien

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Zins, A.H., Bauernfeind, U. (2005). Explaining Online Purchase Planning Experiences with Recommender Websites. In: Frew, A.J. (eds) Information and Communication Technologies in Tourism 2005. Springer, Vienna. https://doi.org/10.1007/3-211-27283-6_13

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  • DOI: https://doi.org/10.1007/3-211-27283-6_13

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-24148-6

  • Online ISBN: 978-3-211-27283-1

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