Intention–behaviour misalignment at B2C websites: when the horse brings itself to water, will it drink?

References

• Ajzen, I. (1988). Attitudes, personality and behavior. Milton Keynes: Open University Press.
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I., & Sheikh, S. (2013). Action versus inaction: Anticipated affect in the theory of planned behavior. Journal of Applied Social Psychology, 43, 155–162.10.1111/j.1559-1816.2012.00989.x
   Web of Science ®Google Scholar
• Aljarallah, A., & Ramaprasad, A. (2014). Website functions and shopping strategies: Ontological framework and synthesis. In Proceedings of the 20th Americas Conference on Information Systems, Savannah.
   Google Scholar
• Bell, D. E. (1982). Regret in Decision Making under Uncertainty. Operations Research, 30(5), 961–981.10.1287/opre.30.5.961
   Web of Science ®Google Scholar
• Berthon, P., Layland, E. & Watson, R. T. (1996). The world wide web as an advertising medium: Toward an understanding of conversion efficiency. Journal of Advertising Research, 36(1), 43–54.
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32, 201–214.10.1016/S0167-9236(01)00111-7
   Web of Science ®Google Scholar
• Cenfetelli, R. T. (2004). Inhibitors and enablers as dual factor concepts in technology usage. Journal of the Association of Information Systems, 5(11–12), 472–492.
   Google Scholar
• Cenfetelli, R. T., & Schwarz, A. (2011). Identifying and testing the inhibitors of technology usage intentions. Information Systems Research, 22(4), 808–823.10.1287/isre.1100.0295
   Web of Science ®Google Scholar
• Cheung, C. M. K., Chan, G. W. W., & Limayem, M. (2005). A critical review of online consumer behavior: Empirical research. Journal of Electronic Commerce in Organizations, 3(4), 1–19.10.4018/JECO
   Google Scholar
• Cheung, C. M. K., & Lee, M. K. O. (2009). User satisfaction with an internet-based portal: An asymmetric and nonlinear approach. Journal of the American Society for Information Science and Technology, 60(1), 111–122.10.1002/asi.v60:1
   Web of Science ®Google Scholar
• Chiou, J.-S. (2004). The antecedents of consumers’ loyalty toward internet service providers. Information & Management, 41, 685–695.10.1016/j.im.2003.08.006
   Web of Science ®Google Scholar
• Cho, J. (2004). Likelihood to abort an online transaction: Influences from cognitive evaluations, attitudes, and behavioral variables. Information & Management, 41, 827–838.10.1016/j.im.2003.08.013
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.10.2307/249008
   Web of Science ®Google Scholar
• 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), 982–1003.10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• De, P., Hu, Y. & Rahman, M. S. (2010). Technology usage and online sales: An empirical study. Management Science, 56(11), 1930–1945.10.1287/mnsc.1100.1233
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.10.1287/isre.3.1.60
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone and McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47.
   Web of Science ®Google Scholar
• Deng, L., & Poole, M. S. (2010). Affect in web interfaces: A study of the impacts of web page visual complexity and order. MIS Quarterly, 34(4), 711–730.
   Web of Science ®Google Scholar
• Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research, 13(3), 316–333.10.1287/isre.13.3.316.77
   Web of Science ®Google Scholar
• Dimoka, A., Hong, Y., & Pavlou, P. A. (2012). On product uncertainty in online markets: Theory and evidence. MIS Quarterly, 36(2), 395–426.
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.10.5465/AMJ.2011.60263120
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003a). D.W. Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003b). Potential and repeat e-consumers: The role of perceived e-vendor trustworthiness vis-à-vis TAM. IEEE Transactions on Engineering Management, 50(3), 307–321.10.1109/TEM.2003.817277
   Web of Science ®Google Scholar
• Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease-of-use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1(8), 1–30.
   Google Scholar
• Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Chicago, IL: Aldine Publishing Company.
   Google Scholar
• Hansen, F. (1972). Consumer choice behavior: A cognitive theory. New York, NY: Free Press.
   Google Scholar
• Hong, Y., & Pavlou, P. A. (2010). Fit does matter! An empirical study on product fit uncertainty in online marketplaces. In Proceedings of the 31st International Conference on Information Systems, Paper 218, St Louis.
   Google Scholar
• Hong, Y., & Pavlou, P. A. (2014). Product fit uncertainty: Nature, effects, and antecedents. Information Systems Research, 25(2), 328–344.10.1287/isre.2014.0520
   Web of Science ®Google Scholar
• Hong, Y., Wang, C., & Pavlou, P. A. (2016). Comparing open and sealed bid auctions: Evidence from online labor markets. Information Systems Research, 27(1), 49–69.10.1287/isre.2015.0606
   Web of Science ®Google Scholar
• Hu, T., Kettinger, W. J., & Poston, R. S. (2015). The effect of online social value on satisfaction and continued use of social media. European Journal of Information Systems, 24(4), 391–410.10.1057/ejis.2014.22
   Web of Science ®Google Scholar
• Hui, K. L., & Chau, P. Y. K. (2002). Classifying digital products: An important step towards devising e-commerce strategies. Communications of the ACM, 45(6), 73–79.10.1145/508448.508451
   Web of Science ®Google Scholar
• IBM. (2012). Cyber Monday report 2012: IBM digital analytics benchmark. Retrieved July 22, 2015, from http://www-01.ibm.com/software/marketing-solutions/benchmark-reports/benchmark-2012-cyber-monday.pdf
   Google Scholar
• Jarvenpaa, S. L., & Tractinsky, N. (1999). Consumer trust in an internet store: A cross-cultural validation. Journal of Computer Mediated Communication, 5(2), 1–35.
   Google Scholar
• Jiang, Z., & Benbasat, I. (2004). Virtual product experience: Effects of visual & functional control of products on perceived diagnosticity in electronic shopping. Journal of Management Information Systems, 21(3), 111–147.10.1080/07421222.2004.11045817
   Web of Science ®Google Scholar
• Johnson, E. J., Moe, W. W., Fader, P. S., Bellman, S., & Lohse, G. L. (2004). On the depth and dynamics of online search behavior. Management Science, 50(3), 299–308.10.1287/mnsc.1040.0194
   Web of Science ®Google Scholar
• Keeney, R. L. (1999). The value of internet commerce to the customer. Management Science, 45(4), 533–542.10.1287/mnsc.45.4.533
   Web of Science ®Google Scholar
• Kempf, D. S., & Smith, R. E. (1998). Consumer processing of product trial and the influence of prior advertising: A structural modeling approach. Journal of Marketing Research, 35(3), 325–338.10.2307/3152031
   Web of Science ®Google Scholar
• Kim, D. J., Ferrin, D. L., & Rao, H. (2009). Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, 20(2), 237–257.10.1287/isre.1080.0188
   Web of Science ®Google Scholar
• Klein, H. K., & Myers, M. D. (1999). A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Quarterly, 23(1), 67–93.10.2307/249410
   Web of Science ®Google Scholar
• Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223.10.1287/isre.13.2.205.83
   Web of Science ®Google Scholar
• Koufaris, M., Kambil, A., & Labarbera, P. A. (2001). Consumer behavior in web-based commerce: An empirical study. International Journal of Electronic Commerce, 6(2), 115–138.10.1080/10864415.2001.11044233
   Web of Science ®Google Scholar
• Kukar-Kinney, M., & Close, A. G. (2010). The determinants of consumers’ online shopping cart abandonment. Journal of the Academy of Marketing Science, 38(2), 240–250.10.1007/s11747-009-0141-5
   Web of Science ®Google Scholar
• Liao, Z., & Cheung, M. T. (2001). Internet-based e-shopping and consumer attitudes: An empirical study. Information and Management, 38(5), 299–306.10.1016/S0378-7206(00)00072-0
   Web of Science ®Google Scholar
• Lin, J., & Chan, H. C. (2009). Understanding the beliefs and intentions in search and purchase functions in an e-commerce web site. IEEE Transactions on Engineering Management, 56(1), 106–114.10.1109/TEM.2008.922641
   Web of Science ®Google Scholar
• Liu, F., Wang, R., Zhang, P., & Zuo, M. (2012). A typology of online window shopping consumers. In Proceedings of the 16th Pacific Asia Conference on Information Systems, Paper 128, Ho Chi Minh.
   Google Scholar
• Loomes, G., & Sugden, R. (1982). Regret theory: An alternative theory of rational choice under uncertainty. The Economic Journal, 92(368), 805–824.10.2307/2232669
   Web of Science ®Google Scholar
• Matavire, R., & Brown, I. (2013). Profiling grounded theory approaches in information systems research. European Journal of Information Systems, 22(1), 119–129.
   Web of Science ®Google Scholar
• McConnell, A. R., Niedermeier, K. E., Leibold, J. M., El-Alayli, A. G., Chin, P. P., & Kuiper, N. M. (2000). What if I find it cheaper someplace else? Role of prefactual thinking and anticipated regret in consumer behavior. Psychology & Marketing, 17(4), 281–298.10.1002/(ISSN)1520-6793
   Web of Science ®Google Scholar
• McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.10.1287/isre.13.3.334.81
   Web of Science ®Google Scholar
• Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64.10.1509/jmkg.64.3.50.18024
   Web of Science ®Google Scholar
• Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis. Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Moe, W. (2003). Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychology, 13(1–2), 29–39.10.1207/S15327663JCP13-1&2_03
   Web of Science ®Google Scholar
• Moe, W., & Fader, P. (2001). Uncovering patterns in cybershopping. California Management Review, 43, 106–117.10.2307/41166103
   Web of Science ®Google Scholar
• Moe, W., & Fader, P. (2004). Dynamic conversion behavior at e-commerce sites. Management Science, 50(3), 326–335.10.1287/mnsc.1040.0153
   Web of Science ®Google Scholar
• Monetate. (2015). Ecommerce quarterly (EQ1 2015): Merchandise this. Retrieved July 22, 2015, from http://www.monetate.com/resources/research/#ufh-i-95458575-ecommerce-quarterly-q1-2015
   Google Scholar
• Nasiry, J., & Popescu II. (2012). Advance selling when consumers regret. Management Science, 58(6), 1160–1177.10.1287/mnsc.1110.1473
   Web of Science ®Google Scholar
• Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311–329.10.1086/259630
   Web of Science ®Google Scholar
• Nelson, R., Todd, P., & Wixom, B. (2005). Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235.10.1080/07421222.2005.11045823
   Web of Science ®Google Scholar
• Oliver, R. L. (1980). A cognitive model for the antecedents and consequences of satisfaction. Journal of Marketing Research, 17, 460–469.10.2307/3150499
   Web of Science ®Google Scholar
• Palmer, J. (2002). Website usability, design and performance metrics. Information Systems Research, 13(2), 151–167.10.1287/isre.13.2.151.88
   Web of Science ®Google Scholar
• Pavlou, P. A. (2003). Consumer acceptance of electronic commerce – integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69–103.
   Web of Science ®Google Scholar
• Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.
   Web of Science ®Google Scholar
• Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(2), 105–136.
   Google Scholar
• Polites, G., & Karahanna, E. (2013). The embeddedness of information systems habits in organizational and individual level routines: Development and disruption. MIS Quarterly, 37(1), 221–246.10.25300/MISQ
   Web of Science ®Google Scholar
• Ragin, Charles C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. Chicago, IL: University of Chicago Press.10.7208/chicago/9780226702797.001.0001
   Google Scholar
• Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of is success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50–69.10.1287/isre.13.1.50.96
   Web of Science ®Google Scholar
• Reichheld, F. F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the web. Harvard Business Review, 78(4), 105–113.
   Web of Science ®Google Scholar
• Rivis, A., Sheeran, P., & Armitage, C. J. (2009). Expanding the affective and normative components of the theory of planned behavior: A meta-analysis of anticipated affect and moral norms. Journal of Applied Social Psychology, 39(12), 2985–3019.10.1111/(ISSN)1559-1816
   Web of Science ®Google Scholar
• Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253.10.1287/isre.8.3.240
   Web of Science ®Google Scholar
• Sheppard, B., Hartwick, J., & Warshaw, P. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325–343.10.1086/jcr.1988.15.issue-3
   Web of Science ®Google Scholar
• Simon, H. A. (1960). The new science of management decision. Upper Saddle, NJ: Prentice Hall.10.1037/13978-000
   Google Scholar
• Sismeiro, C., & Bucklin, R. E. (2004). Modeling purchase behavior at an e-commerce web site: A task-completion approach. Journal of Marketing Research, 41, 306–323.10.1509/jmkr.41.3.306.35985
   Web of Science ®Google Scholar
• Stewart, K. (2003). Trust transfer on the world wide web. Organization Science, 14(1), 5–17.10.1287/orsc.14.1.5.12810
   Web of Science ®Google Scholar
• Strauss, A., & Corbin, J. (1998). Basics of qualitative research. Thousand Oaks, CA: Sage.
   Google Scholar
• Urbany, J., Dickson, P., & Wilkie, W. (1989). Buyer Uncertainty and Information Search. Journal of Consumer Research, 16(2), 208–215.10.1086/jcr.1989.16.issue-2
   Web of Science ®Google Scholar
• Urquhart, C. (2013). Grounded theory for qualitative research: A practical guide. London: Sage.10.4135/9781526402196
   Google Scholar
• Vance, A., Elie-Dit-Cosaque, C., & Straub, D. (2008). Examining trust in information technology artifacts: The effects of system quality and culture. Journal of Management Information Systems, 24(4), 73–100.10.2753/MIS0742-1222240403
   Web of Science ®Google Scholar
• Venkatesh, V., & Agarwal, R. (2006). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Science, 52(3), 367–382.10.1287/mnsc.1050.0442
   Web of Science ®Google Scholar
• Verplanken, B., & Faes, S. (1999). Good intentions, bad habits, and effects of forming implementation intentions on healthy eating. European Journal of Social Psychology, 29, 591–604.10.1002/(ISSN)1099-0992
   Web of Science ®Google Scholar
• Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly, 35(2), 373–396.
   Web of Science ®Google Scholar
• Wilkie, W. L., & Dickson, P. R. (1975). How consumers use product information: An assessment of research in relation to public policy needs. Washington, DC: US Government Printing Office.
   Google Scholar
• Wixom, B., & Todd, P. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102.10.1287/isre.1050.0042
   Web of Science ®Google Scholar
• Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43(2), 34–55.10.2307/41166074
   Web of Science ®Google Scholar
• Zeelenberg, M. (1999). Anticipated regret, expected feedback and behavioral decision making. Journal of Behavioral Decision Making, 12(2), 93–106.10.1002/(ISSN)1099-0771
   Web of Science ®Google Scholar
• Zeelenberg, M., Beattie, J., van der Pligt, J., & de Vries, N. K. (1996). Consequences of regret aversion: Effects of expected feedback on risky decision making. Organizational Behavior and Human Decision Processes, 65(2), 148–158.10.1006/obhd.1996.0013
   Web of Science ®Google Scholar