Skip to main content
Log in

A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

User-customization is increasingly common in electronic commerce, because both the buyer and seller potentially benefit. The user interface to implement and the influence of the interface on various process and outcome measures, however, are not well understood. We developed a Flow-based model consisting of seven hypotheses regarding the user interface and its consequents. We conducted a field experiment to test an attribute-based interface vs. a question-based interface on three variables (perceived control, shopping enjoyment and choice satisfaction) as well as two web site intentions: intention to return and intention to purchase. Six of the seven hypotheses were supported in a parsimonious model. Variance explained was 16.3% for perceived control, 45.6% for shopping enjoyment, 59.3% for choice satisfaction and 63.1% for web site intentions. The main finding is that an attribute-based interface for retail e-shopping increases the shopper’s sense of control and feeling of enjoyment in the process more than a question-based interface, and thereby increases satisfaction with the outcome. This combination of influences increases the intention of the shopper to return to the web site and to purchase the item. We discuss the results and suggest areas for future research in user-customization, which may apply to many different industries that engage in online commerce.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694.

    Article  Google Scholar 

  • Agarwal, R., & Venkatesh, V. (2002). Assessing a firm’s web presence: A heuristic evaluation procedure for the measurement of usability. Information Systems Research, 13(2), 168–186.

    Article  Google Scholar 

  • Bagozzi, R. P. (1979). The role of measurement in theory construction and hypothesis testing: Toward a holistic model. In O. C. Ferrell, S. W. Brown, & C. W. Lamb (Eds.), Conceptual and theoretical developments in marketing (pp. 15–32). Chicago: American Marketing Association.

    Google Scholar 

  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.

    Article  Google Scholar 

  • Bakos, J. Y. (1997). Reducing buyer search costs: implications for electronic marketplaces. Management Science, 43(12), 1676–1692.

    Article  Google Scholar 

  • Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood, NJ: Prentice-Hall.

    Google Scholar 

  • Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866–875.

    Article  Google Scholar 

  • Berman, B. (2002). Should your firm adopt a mass customization strategy? Business Horizons, 45(4), 51–60.

    Article  Google Scholar 

  • Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in web-based decision support systems. Decision Support Systems, 37(2), 187–197.

    Google Scholar 

  • Bo, X., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31(1), 137–209.

    Google Scholar 

  • Bowen, D. E. (1986). Managing customers as human resources in service organizations. Human Resource Management, 25, 371–383.

    Google Scholar 

  • Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of internet and conventional retailers. Management Science, 46(4), 563–585.

    Article  Google Scholar 

  • Cai, S., & Xu, Y. (2006). Effects of outcome, process and shopping enjoyment on online consumer behaviour. Electronic Commerce Research & Applications, 5(4), 272–281.

    Article  Google Scholar 

  • Chenoweth, T., Dowling, K. L., & Louis, R. D. S. (2004). Convincing DSS users that complex models are worth the effort. Decision Support Systems, 37(1), 71–82.

    Article  Google Scholar 

  • Chin, W. (2000). Frequently asked questions—partial least squares & PLS-graph home page. Retrieved April 12, 2002 from http://disc-nt.cba.uh.edu/chin/plsfaq/plsfaq.htm.

  • Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217.

    Article  Google Scholar 

  • Chin, W. W., & Newsted, P. R. (1998). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small-sample research. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Cohen, S. L., & Pine, B. J. (2007). Mass customizing the training industry. T+D, 61(6), 50–54.

    Google Scholar 

  • Csikszentmihalyi, M. (1975). Plan and intrinsic rewards. Journal of Humanistic Psychology, 15(3), 41–63.

    Article  Google Scholar 

  • Csikszentmihalyi, M. (1977). Beyond boredom and anxiety. San Francisco: Jossey-Bass.

    Google Scholar 

  • Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge: Cambridge University Press.

    Google Scholar 

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

    Article  Google Scholar 

  • Detlor, B., Sproule, S., & Gupta, C. (2003). Pre-purchase online information seeking: Search versus browse. Journal of Electronic Commerce Research, 4(2), 72–84.

    Google Scholar 

  • Dhar, R. (1996). The effect of decision strategy on deciding to defer choice. Journal of Behavioral Decision Making, 9, 265–281.

    Article  Google Scholar 

  • Diehl, K., Kornish, L. J., Lynch Jr., J. G., Mick, D. G., & Lehmann, D. R. (2003). Smart agents: when lower search costs for quality information increase price sensitivity. Journal of Consumer Research, 30(1), 56–71.

    Article  Google Scholar 

  • Dietrich, A. J., Kirn, S., & Sugumaran, V. (2007). A service-oriented architecture for mass customization a shoe industry case study. IEEE Transactions on Engineering Management, 54(1), 190–204.

    Article  Google Scholar 

  • Dwivedi, Y. K., Williams, M. D., & Venkatesh, V. (2008). Guest editorial: A profile of adoption of Information and Communication Technologies (ICT) research in the household context. Information Systems Frontiers, 10(4), 385–390.

    Article  Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18, 39–50.

    Article  Google Scholar 

  • Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. Journal of Psychology, 128(4), 381–391.

    Google Scholar 

  • Gilbride, T. J., & Allenby, G. M. (2004). A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Science, 23(3), 391–406.

    Article  Google Scholar 

  • Gilbride, T. J., & Allenby, G. M. (2006). Estimating heterogeneous EBA and economic screening rule choice models. Marketing Science, 25(5), 494–509.

    Article  Google Scholar 

  • Gretzel, U., & Fesenmaier, D. R. (2005). Persuasiveness of preference elicitation processes in destination recommendation systems. In A. J. Frew (Ed.), Information and communication technologies in tourism 2005 (pp. 194–204). Innsbruck, Austria: Springer.

    Chapter  Google Scholar 

  • Gretzel, U., & Fesenmaier, D. R. (2006). Persuasion in recommender systems. International Journal of Electronic Commerce, 11(2), 81–100.

    Article  Google Scholar 

  • Group, T. I. (2002). Business-to-Consumer E-Commerce Report.

  • Hampton-Sosa, W., & Koufaris, M. (2005). The effect of web site perceptions on initial trust in the owner company. International Journal of Electronic Commerce, 10(1), 55–81.

    Google Scholar 

  • Hassanein, K., & Head, M. (2005). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31–55.

    Article  Google Scholar 

  • Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 4–21.

    Article  Google Scholar 

  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68.

    Article  Google Scholar 

  • Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The Influence of Avatars on Online Consumer Shopping Behavior. Journal of Marketing, 70(4), 19–36.

    Article  Google Scholar 

  • Hong, S.-J., Thong, J. Y. L., Moon, J.-Y., & Tam, K.-Y. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431–445.

    Article  Google Scholar 

  • Hong, W., Thong, J. Y. L., & Tam, K. Y. (2005). The effects of information format and shopping task on consumers’ online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21(3), 149–184.

    Google Scholar 

  • Huffman, C., & Kahn, B. E. (1998). Variety for sale: Mass customization or mass confusion? Journal of Retailing, 74(4), 491–513.

    Article  Google Scholar 

  • Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.

    Article  Google Scholar 

  • Ives, B., & Piccoli, G. (2003). Custom made apparel and individualized service at lands’ end. Communications of AIS, 2003(11), 79–93.

    Google Scholar 

  • Jahng, J., Jain, H. K., & Ramatnurthy, K. (2006). An empirical study of the impact of product characteristics and electronic commerce interface richness on consumer attitude and purchase intentions. IEEE Transactions on Systems, Man & Cybernetics: Part A, 36(6), 1185–1201.

    Article  Google Scholar 

  • Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218.

    Article  Google Scholar 

  • Jiang, Z., & Benbasat, I. (2005). Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping. Journal of Management Information Systems, 21(3), 111–148.

    Google Scholar 

  • Johnson, D., & Wiles, J. (2003). Effective affective user interface design in games. Ergonomics, 46(13/14), 1332–1345.

    Article  Google Scholar 

  • Kahn, B. E. (1998). Dynamic relationships with customers: High-variety strategies. Journal of the Academy of Marketing Science, 26(1), 45–53.

    Article  Google Scholar 

  • Kamis, A. (2006). Search strategies in shopping engines: An experimental investigation. International Journal of Electronic Commerce, 11(1), 63–84.

    Article  Google Scholar 

  • Kamis, A., Koufaris, M., & Stern, T. (2008). Using an attribute-based DSS for user-customized products online: An experimental investigation. MIS Quarterly, 32-1, 159–177.

    Google Scholar 

  • Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of Marketing, 59(2), 71–85.

    Article  Google Scholar 

  • Kelley, S. W., Donnelley J. H., Jr., & Skinner, S. J. (1990). Customer participation in service production and delivery. Journal of Retailing, 66(3), 315–335.

    Google Scholar 

  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223.

    Article  Google Scholar 

  • Koufaris, M., Kambil, A., & LaBarbera, P. A. (2001-2002). Consumer behavior in web-based commerce: An empirical study. International Journal of Electronic Commerce, 6(2), 115–138.

    Google Scholar 

  • Lee, J.-N., Pi, S.-M., Kwok, R. C.-w., & Huynh, M. Q. (2003). The contribution of commitment value in internet commerce: An empirical investigation. Journal of the Association for Information systems, 4(2003), 39–64.

    Google Scholar 

  • Lingyun, Q., & Benbasat, I. (2005). Online consumer trust and live help interfaces: The effects of text-to-speech voice and three-dimensional avatars. International Journal of Human-Computer Interaction, 19(1), 75–94.

    Article  Google Scholar 

  • Lovelock, C. H., & Young, R. F. (1979). Look to consumers to increase productivity. Harvard Business Review, 57(3), 168–178.

    Google Scholar 

  • Mills, P. K., Chase, R., & Margulies, N. (1983). Motivating the client/employee system as a service production strategy. Academy of Management Review, 8(2), 301–310.

    Article  Google Scholar 

  • Mills, P. K., & Morris, J. H. (1986). Clients as ‘partial’ employees of service organizations: Role development in client participation. Academy of Management Review, 11(4), 726–735.

    Article  Google Scholar 

  • Moe, W. W. (2001). Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychology, 13(1&2), 29–40.

    Google Scholar 

  • Moe, W. W., & Fader, P. S. (2004). Dynamic conversion behavior at E-commerce sites. Management Science, 50(3), 326–335.

    Article  Google Scholar 

  • Nielsen, J. (2000). Designing web usability. Indianapolis, IN: New Riders.

    Google Scholar 

  • Novak, T. P. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42.

    Article  Google Scholar 

  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and prediction electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.

    Google Scholar 

  • Payne, J. W. (1976). Task complexity and contingent processing in decision-making—an information search and protocol analysis. Organizational Behavior and Human Decision Processes, 16(2), 366–387.

    Google Scholar 

  • Pennington, R., Wilcox, H. D., & Grover, V. (2003-2004). The role of system trust in business-to-consumer transactions. Journal of Management Information Systems, 20(3), 197–226.

    Google Scholar 

  • Pine, J. P. (1993). Mass customization. Boston, MA: Harvard Business School Press.

    Google Scholar 

  • Polaine, A. (2005). The flow principle in interactivity. Australasian conference on Interactive entertainment. Sydney, Australia: Creativity & Cognition Studios Press.

    Google Scholar 

  • Pu, P., & Chen, L. (2005). Integrating tradeoff support in product search tools for e-commerce sites. ACM conference on Electronic commerce.

  • Pu, P., & Kumar, P. (2004). Evaluating example-based search tools. ACM Conference on Electronic Commerce New York.

  • Qiu, L., & Benbasat, I. (2005). An investigation into the effects of text-to-speech voice and 3d avatars on the perception of presence and flow of live help in electronic commerce. ACM Transactions on Computer-Human Interaction, 12(4), 329–355.

    Article  Google Scholar 

  • Reichheld, F. F. (1996). Learning from customer defections. Harvard Business Review, 74(2), 56–69.

    Google Scholar 

  • Ricci, F., & Werthner, H. (2006–2007). Introduction to the special issue: Recommender systems. International Journal of Electronic Commerce, 11(2), 5–9.

    Article  Google Scholar 

  • Richard, R.-B. (2007). Four keyboards to sustainable mass customization in architecture & construction. MCPC 2007 World Conference on Mass Customization & Personalization, Cambridge, MA.

  • Ro, Y. K., Liker, J. K., & Fixson, S. K. (2007). Modularity as a strategy for supply chain coordination: The case of U.S. auto. IEEE Transactions on Engineering Management, 54(1), 172–189.

    Article  Google Scholar 

  • Ryan, R., Rigby, C., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation & Emotion, 30(4), 344–360.

    Article  Google Scholar 

  • Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery, 5(1–2), 115–153.

    Article  Google Scholar 

  • Silpakit, P., Fiskin, R. P., Eds. (1985). ’Participatizing’ the service encounter: A theoretical framework. Services marketing in a changing environment. Chicago, American Marketing Association.

  • Simon, H. A. (1972). Theories of bounded rationality. In R. a. Radner (Ed.), Decision and organisation. Amsterdam: North Holland.

    Google Scholar 

  • Simon, H. A. (1982). Models of bounded rationality. Cambridge, MA: MIT Press.

    Google Scholar 

  • Sweetser, P., & Wyeth, P. (2005). GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment, 3, 3.

    Article  Google Scholar 

  • Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381–396.

    Article  Google Scholar 

  • Todd, P., & Benbasat, I. (1992). The use of information in decision making: An experimental investigation of the impact of computer-based decision aids. MIS Quarterly, 16(3), 373–393.

    Article  Google Scholar 

  • Tu, Q., Vonderembse, M. A., Ragu-Nathan, T. S., & Ragu-Nathan, B. (2004). Measuring modularity-based manufacturing practices and their impact on mass customization capability: A customer-driven perspective. Decision Sciences, 35(2), 147–168.

    Article  Google Scholar 

  • Urbany, J. E. (1986). An experimental examination of the economics of information. Journal of Consumer Research, 13(2), 257–271.

    Article  Google Scholar 

  • Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704.

    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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Wan, G. (2000). Internet based customer decision support systems for mass customization. International Journal of Management, 17(3), 386–393.

    Google Scholar 

  • Wang, W., & Benbasat, I. (2005). Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems, 6(3), 72–101.

    Google Scholar 

  • White, R. W. (1959). Motivation considered: The concept of competence. Psychological Review, 66(5), 297–333.

    Article  Google Scholar 

  • Wind, J., & Rangaswamy, A. (2001). Customerization: the next revolution in mass customization. Journal of Interactive Marketing, 15(1), 13–32.

    Article  Google Scholar 

  • Wujin, C., Beomjoon, C., & Mee Ryoung, S. (2005). The role of on-line retailer brand and infomediary reputation in increasing consumer purchase intention. International Journal of Electronic Commerce, 9(3), 115–127.

    Google Scholar 

  • Yao, A. C., & Carlson, J. G. H. (2003). Agility and mixed-model furniture production. International Journal of Production Economics, 81, 8295.

    Article  Google Scholar 

  • Yen, B. P. C., & Ng, K. (2007). Virtual objects in electronic catalogs: A human-computer interface issue. IEEE Transactions on Systems, Man & Cybernetics: Part A, 37(4), 599–608.

    Article  Google Scholar 

  • Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362–375.

    Article  Google Scholar 

  • Zhang, X., & Maruping, L. M. (2008). Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values. Information Systems Frontiers, 10(4), 403–413.

    Article  Google Scholar 

  • Ziegler, C.-N., & Golbeck, J. (2007). Investigating interactions of trust and interest similarity. Decision Support Systems, 43(2), 460–475.

    Article  Google Scholar 

  • Zigurs, I., & Buckland, B. (1998). A theory of task/technology fit and group support systems effectiveness. MIS Quarterly, 22(3), 313–334.

    Article  Google Scholar 

  • Zipkin, P. (2001). The limits of mass customization. MIT Sloan Management Review, 42(3), 81–87.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arnold Kamis.

Additional information

Note: Yogesh K. Dwivedi, Michael D. Williams and Viswanath Venkatesh were the guest editors accepting the article as part of the special issue on Adoption and Use of Information & Communication Technologies (ICT) in the Residential/Household Context (see Dwivedi et al. 2008 for editorial).

Appendix

Appendix

Screen Shots of the Question-Based UID and Attribute-Based UID

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kamis, A., Stern, T. & Ladik, D.M. A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce. Inf Syst Front 12, 157–168 (2010). https://doi.org/10.1007/s10796-008-9135-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-008-9135-y

Keywords

Navigation