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

Information Systems Frontiers

Volumn 12, Issue 2, 2010, Pages 157-168

  Kamis, Arnold ^a   Stern, Tziporah ^b   Ladik, Daniel M ^a  

^a SUFFOLK UNIVERSITY   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Business to consumer electronic commerce; Flow based model; Users

Indexed keywords

BUSINESS-TO-CONSUMER ELECTRONIC COMMERCE; BUSINESS-TO-CONSUMER ELECTRONIC COMMERCES; FIELD EXPERIMENT; ONLINE COMMERCE;

SALES; USER INTERFACES; WORLD WIDE WEB;

ELECTRONIC COMMERCE;

EID: 77954819752     PISSN: 13873326     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10796-008-9135-y     Document Type: Article

References (103)

1. 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.
2. 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.
3. 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.
4. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16 (1), 74-94.
5. Bakos, J. Y (1997). Reducing buyer search costs: implications for electronic marketplaces. Management Science, 43 (12), 1676-1692.
6. Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37 (2), 122-147.
7. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood, NJ: Prentice-Hall.
8. 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.
9. Berman, B. (2002). Should your firm adopt a mass customization strategy? Business Horizons, 45 (4), 51-60.
10. 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.
11. Bo, X., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31 (1), 137-209.
12. Bowen, D. E. (1986). Managing customers as human resources in service organizations. Human Resource Management, 25, 371-383.
13. Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of internet and conventional retailers. Management Science, 46 (4), 563-585.
14. Cai, S., & Xu, Y (2006). Effects of outcome, process and shopping enjoyment on online consumer behaviour. Electronic Commerce Research & Applications, 5 (4), 272-281.
15. 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.
16. Chin, W. (2000). Frequently asked questions-partial least squares & PLS-graph home page. Retrieved April 12, 2002 from http://discnt.cba.uh.edu/ chin/plsfaq/plsfaq.htm.
17. 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.
18. 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.
19. Cohen, S. L., & Pine, B. J. (2007). Mass customizing the training industry. T+D, 61 (6), 50-54.
20. Csikszentmihalyi, M. (1975). Plan and intrinsic rewards. Journal of Humanistic Psychology, 15 (3), 41-63.
21. Csikszentmihalyi, M. (1977). Beyond boredom and anxiety. San Francisco: Jossey-Bass.
22. Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge: Cambridge University Press.
23. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
24. Detlor, B., Sproule, S., & Gupta, C. (2003). Pre-purchase online information seeking: Search versus browse. Journal of Electronic Commerce Research, 4 (2), 72-84.
25. Dhar, R. (1996). The effect of decision strategy on deciding to defer choice. Journal of Behavioral Decision Making, 9, 265-281. (Pubitemid 126694999)
26. 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.
27. 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.
28. 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.
29. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
30. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18, 39-50.
31. 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.
32. Gilbride, T. J., & Allenby, G. M. (2004). A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Science, 23 (3), 391-406.
33. Gilbride, T. J., & Allenby, G. M. (2006). Estimating heterogeneous EBA and economic screening rule choice models. Marketing Science, 25 (5), 494-509.
34. 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.
35. Gretzel, U., & Fesenmaier, D. R. (2006). Persuasion in recommender systems. International Journal of Electronic Commerce, 11 (2), 81-100.
36. Group, T. I. (2002). Business-to-Consumer E-Commerce Report.
37. 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.
38. 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.
39. Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19 (1), 4-21.
40. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60 (3), 50-68.
41. Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The Influence of Avatars on Online Consumer Shopping Behavior. Journal of Marketing, 70 (4), 19-36.
42. 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.
43. 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.
44. Huffman, C, & Kahn, B. E. (1998). Variety for sale: Mass customization or mass confusion? Journal of Retailing, 74 (4), 491-513.
45. 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.
46. Ives, B., & Piccoli, G. (2003). Custom made apparel and individualized service at lands' end. Communications of AIS, 2003 (11), 79-93.
47. 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.
48. Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspe-cification in marketing and consumer research. Journal of Consumer Research, 30 (2), 1199-218.
49. Jiang, Z., & Benbasat, I. (2005). Virtual product experience: Effects of visual and functional control of products on perceived diagnos-ticity and flow in electronic shopping. Journal of Management Information Systems, 21 (3), 111-148.
50. Johnson, D., & Wiles, J. (2003). Effective affective user interface design in games. Ergonomics, 46 (13/14), 1332-1345.
51. Kahn, B. E. (1998). Dynamic relationships with customers: High-variety strategies. Journal of the Academy of Marketing Science, 26 (1), 45-53.
52. Kamis, A. (2006). Search strategies in shopping engines: An experimental investigation. International Journal of Electronic Commerce, 11 (1), 63-84.
53. 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.
54. Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of Marketing, 59 (2), 71-85.
55. 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.
56. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13 (2), 205-223.
57. 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.
58. 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.
59. 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.
60. Lovelock, C. H, & Young, R. F. (1979). Look to consumers to increase productivity. Harvard Business Review, 57 (3), 168-178.
61. 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.
62. 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.
63. 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.
64. Moe, W. W., & Fader, P. S. (2004). Dynamic conversion behavior at E-commerce sites. Management Science, 50 (3), 326-335.
65. Nielsen, J. (2000). Designing web usability. Indianapolis, IN: New Riders.
66. Novak, T P. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19 (1), 22-42.
67. 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.
68. 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.
69. 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.
70. Pine, J. P. (1993). Mass customization. Boston, MA: Harvard Business School Press.
71. Polaine, A. (2005). The flow principle in interactivity. Australasian conference on Interactive entertainment. Sydney, Australia: Creativity & Cognition Studios Press.
72. Pu, P., & Chen, L. (2005). Integrating tradeoff support in product search tools for e-commerce sites. ACM conference on Electronic commerce.
73. Pu, P., & Kumar, P. (2004). Evaluating example-based search tools. ACM Conference on Electronic Commerce New York.
74. 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.
75. Reichheld, F. F (1996). Learning from customer defections. Harvard Business Review, 74 (2), 56-69.
76. Ricci, F., & Werthner, H. (2006-2007). Introduction to the special issue: Recommender systems. International Journal of Electronic Commerce, 11 (2), 15-9.
77. Richard, R.-B. (2007). Four keyboards to sustainable mass customization in architecture & construction. MCPC 2007 World Conference on Mass Customization & Personalization, Cambridge, MA.
78. 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.
79. Ryan, R, Rigby, C, & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation & Emotion, 30 (4), 344-360.
80. Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery, 5 (1-2), 115-153.
81. Silpakit, P., Fiskin, R P., Eds. (1985). 'Participatizing' the service encounter: A theoretical framework. Services marketing in a changing environment. Chicago, American Marketing Association.
82. Simon, H. A. (1972). Theories of bounded rationality. In R a. Radner (Ed.), Decision and organisation. Amsterdam: North Holland.
83. Simon, H. A. (1982). Models of bounded rationality. Cambridge, MA: MIT Press.
84. Sweetser, P., & Wyeth, P. (2005). GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment, 3, 3.
85. 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.
86. 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.
87. 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.
88. Urbany, J. E. (1986). An experimental examination of the economics of information. Journal of Consumer Research, 13 (2), 257-271.
89. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28 (4), 695-704.
90. 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.
91. 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.
92. Wan, G. (2000). Internet based customer decision support systems for mass customization. International Journal of Management, 17 (3), 386-393.
93. Wang, W., & Benbasat, I. (2005). Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems, 6 (3), 72-101.
94. White, R. W. (1959). Motivation considered: The concept of competence. Psychological Review, 66 (5), 297-333.
95. Wind, J., & Rangaswamy, A. (2001). Customerization: the next revolution in mass customization. Journal of Interactive Marketing, 15 (1), 13-32.
96. Wujin, C., Beomjoon, C., & Mee Ryoung, S. (2005). The role of online retailer brand and infomediary reputation in increasing consumer purchase intention. International Journal of Electronic Commerce, 9 (3), 115-127.
97. Yao, A. C., & Carlson, J. G. H. (2003). Agility and mixed-model furniture production. International Journal of Production Economics, 81, 8295.
98. 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.
99. 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.
100. 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.
101. Ziegler, C.-N., & Golbeck, J. (2007). Investigating interactions of trust and interest similarity. Decision Support Systems, 43 (2), 460-475.
102. Zigurs, I., & Buckland, B. (1998). A theory of task/technology fit and group support systems effectiveness. MIS Quarterly, 22 (3), 313-334.
103. Zipkin, P. (2001). The limits of mass customization. MIT Sloan Management Review, 42 (3), 81-87.