Abstract
As e-commerce providers increasingly utilize recommender systems (RS) to support their customers, trust is emerging as a key factor for the design of such technologies. Although a considerable number of researchers addressed the issue of trust towards RS, there is still no common understanding of how trust relates to the acceptance of RS and what factors influence the perception of trustworthiness in RS. After a discussion on the peculiarities of RS, we build on a literature review of trust in order to analytically distinguish basic concepts of trustworthiness. We propose an integrated model of trustworthiness that accounts for the multiple dimensions and perspectives on trustworthiness in RS. Additionally, we will point out several implications for practice and conclude with suggestions for further research in this area.
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References
Maida, M., Maier, K., Obwegeser, N., Stix, V.: Explaining mcdm acceptance: a conceptual model of influencing factors. In: 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 297–303. IEEE (2011)
Komiak, S., Benbasat, I.: The effects of personalization and familiarity on trust and adoption of recommendation agents. Mis Quarterly, 941–960 (2006)
Gefen, D., Karahanna, E., Straub, D.: Trust and tam in online shopping: An integrated model. MIS Quarterly, 51–90 (2003)
Wang, W., Benbasat, I.: Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems 6(3), 72–101 (2005)
Lewis, J., Weigert, A.: Trust as a social reality. Social Forces 63(4), 967–985 (1985)
Mayer, R., Davis, J., Schoorman, F.: An integrative model of organizational trust. Academy of Management Review, 709–734 (1995)
Kim, D., Ferrin, D., Rao, H.: A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems 44(2), 544–564 (2008)
Luhmann, N.: Trust and power. John Wiley and sons (1979)
Ansari, A., Essegaier, S., Kohli, R.: Internet recommendation systems. Journal of Marketing Research 37(3), 363–375 (2000)
Häubl, G., Trifts, V.: Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 4–21 (2000)
Sinha, R., Swearingen, K.: The role of transparency in recommender systems. In: CHI 2002 Extended Abstracts on Human Factors in Computing Systems, pp. 830–831. ACM (2002)
Harrison McKnight, D., Choudhury, V., Kacmar, C.: The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The Journal of Strategic Information Systems 11(3-4), 297–323 (2002)
Wang, W., Benbasat, I.: Attributions of trust in decision support technologies: A study of recommendation agents for e-commerce. Journal of Management Information Systems 24(4), 249–273 (2008)
Nass, C., Steuer, J., Tauber, E.: Computers are social actors. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Celebrating Interdependence, pp. 72–78. ACM (1994)
Rousseau, D., Sitkin, S., Burt, R., Camerer, C., et al.: Not so different after all: A cross-discipline view of trust. Academy of Management Review 23(3), 393–404 (1998)
Wang, W., Benbasat, I.: Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems 23(4), 217–246 (2007)
Lee, J., See, K.: Trust in automation: Designing for appropriate reliance. Human Factors: The Journal of the Human Factors and Ergonomics Society 46(1), 50–80 (2004)
Ajzen, I.: The theory of planned behavior. Organizational Behavior and Human Decision Processes 50(2), 179–211 (1991)
McKnight, D., Cummings, L., Chervany, N.: Initial trust formation in new organizational relationships. Academy of Management Review, 473–490 (1998)
Herlocker, J., Konstan, J., Riedl, J.: Explaining collaborative filtering recommendations. In: Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work, pp. 241–250. ACM (2000)
Simon, H.: Designing organizations for an information-rich world. International Library of Critical Writings in Economics 70, 187–202 (1996)
Wei, K., Huang, J., Fu, S.: A survey of e-commerce recommender systems. In: International Conference on Service Systems and Service Management, pp. 1–5. IEEE (2007)
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734–749 (2005)
Hess, T., Fuller, M., Campbell, D.: Designing interfaces with social presence: Using vividness and extraversion to create social recommendation agents. Journal of the Association for Information Systems 10(12), 889–919 (2009)
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Maida, M., Maier, K., Obwegeser, N., Stix, V. (2012). A Multidimensional Model of Trust in Recommender Systems. In: Huemer, C., Lops, P. (eds) E-Commerce and Web Technologies. EC-Web 2012. Lecture Notes in Business Information Processing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32273-0_19
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DOI: https://doi.org/10.1007/978-3-642-32273-0_19
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