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Examining the Relationship Between Individual Characteristics, Product Characteristics, and Media Richness Fit on Consumer Channel Preference

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E-Commerce and Web Technologies (EC-Web 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4655))

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Abstract

This study examines the relationship between individual characteristics, product characteristics and media richness fit to explain the consumer channel preference. Based on prior research, hypotheses were tested with a sample of 749 consumers. The results show that the media richness fit moderates the degree of the relationship between the individual/product characteristics and the consumer channel preference. Thus, depending on the level of the media richness fit, the level of confidence in the channel, the attitude towards the channel, the experience level with the channel, the perceived risk vis-à-vis the channel, the perceived product complexity, the perceived product intangibility, and the consumer’s product involvement correlate differently with the consumer channel preference. Theoretical and managerial implications of the findings and avenues for future research are discussed.

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References

  1. Adria, M.: Making the most of e-mail. Academy of Management Executive. 14, 153–154 (2000)

    Google Scholar 

  2. Anderson, J.C., Gerbing, D.W.: Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin 103, 411 (1988)

    Article  Google Scholar 

  3. Arnold, H.J.: Moderator Variables: A Clarification of Conceptual, Analytic, and Psychometric Issues. Organizational Behavior and Human Performance 29, 143–174 (1982)

    Article  Google Scholar 

  4. Balabanis, G., Reynolds, N.L.: Consumer attitudes towards multi-channel retailers’ Web sites: The role of involvement, brand attitude, Internet knowledge and visit duration. Journal of Business Strategies 18, 105–131 (2001)

    Google Scholar 

  5. Bhattacherjee, A.: Individual Trust in Online Firms: Scale Development and Initial Test. Journal of Management Information Systems 19, 211–241 (2002)

    Google Scholar 

  6. Cable, D.M., Yu, K.Y.T.: Managing Job Seekers Organizational Image Beliefs: the Role of Media Richness and Media Credibility. Journal of Applied Psychology 91, 828–840 (2006)

    Article  Google Scholar 

  7. Calder, B.J., Phillips, L., Tybout, A.M.: Beyond External Validity. Journal of Consumer Research 10, 112–115 (1983)

    Article  Google Scholar 

  8. Calder, B.J., Phillips, L., Tybout, A.M.: The Concept of External Validity. Journal of Consumer Research 9, 240–245 (1982)

    Article  Google Scholar 

  9. Calder, B.J., Phillips, L., Tybout, A.M.: Designing Research for Application. Journal of Consumer Research 8, 197–211 (1981)

    Article  Google Scholar 

  10. Carlson, J.R., George, J.F.: Media Appropriateness in the Conduct and Discovery of Deceptive Communication: the Relative Influence of Richness and Synchronicity. Group Decision and Negotiation 13, 191–210 (2004)

    Article  Google Scholar 

  11. Carlson, J.R., Zmud, R.W.: Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions. Academy of Management Journal 42, 153–170 (1999)

    Article  Google Scholar 

  12. Chang, M.K., Cheung, W., Lai, V.S.: Literature derived reference models for the adoption of online shopping. Information & Management 42, 543–559 (2005)

    Article  Google Scholar 

  13. Churchill, G.A.: A paradigm for developing better measures of marketing constructs. Journal of Marketing Reasearch 16, 64–73 (1979)

    Article  Google Scholar 

  14. Constantinides, E.: Influencing the online consumer’s behavior: the Web experience. Internet Research 14, 111–126 (2004)

    Article  Google Scholar 

  15. Daft, R.L., Lengel, R.H.: Organizational information requirements, media richness and structural design. Management Science 32, 554–571 (1986)

    Google Scholar 

  16. Degeratu, A.M., Rangaswamy, A., Wu, J.: Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing 17, 55–78 (2000)

    Article  Google Scholar 

  17. Devaraj, S., Fan, M., Kohli, R.: Examination of online channel preference: Using the structure-conduct-outcome framework. Decision Support Systems 42, 1089–1103 (2006)

    Article  Google Scholar 

  18. Fayawardhena, C.: Personal values’ influence on e-shopping attitude and behavior. Internet Reasearch 14, 127–138 (2004)

    Article  Google Scholar 

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

    Article  Google Scholar 

  20. Gabrielsson, M., Kirpalani, V.H.M., Luostarinen, R.: Multiple Channel Strategies in the European Personal Computer Industry. Journal of International Marketing 10, 73–95 (2002)

    Article  Google Scholar 

  21. Ganesan, S., Malter, A.J., Rindfleisch, A.: Does Distance Still Matter? Geographic Proximity and New Product Development. Journal of Marketing 69, 44–60 (2005)

    Article  Google Scholar 

  22. Garbarino, E., Strahilevitz, M.: Gender difference in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research 57, 768–775 (2004)

    Article  Google Scholar 

  23. Gehrt, K.C., Yan, R.-N.: Situational, consumer, and retailer factors affecting Internet, catalog, and store shopping. International Journal of Retail & Distribution Management 32, 5–18 (2004)

    Article  Google Scholar 

  24. Gupta, A., Su, B., Walter, Z.: Risk profile and consumer shopping behavior in electronic and traditional channels. Decision Support Systems 38, 347–367 (2004)

    Article  Google Scholar 

  25. Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Data Analysis. Prentice Hall, Upper Saddle River, N.J (1998)

    Google Scholar 

  26. Hensmans, M., Van Den Bosch, F.A.J., Volberda, H.W.: Clicks Vs. Bricks in the Emerging Online Financial Services Industry. Long Range Planning 34, 231–247 (2001)

    Article  Google Scholar 

  27. Keen, C., Wetzels, M., de Ruyter, K., Feinberg, R.: E-tailers versus retailers: Which factors determine consumer preferences. Journal of Business Research 57, 685–695 (2004)

    Article  Google Scholar 

  28. King, R.C., Xia, W.D.: Media appropriateness: Effects of experience on communication media choice. Decision Sciences 28, 877–910 (1997)

    Article  Google Scholar 

  29. Korgaonkar, P., Silverblatt, R., Girard, T.: Online Retailing, Product Classifications, and Consumer Preferences. Internet Research 16, 267–288 (2006)

    Article  Google Scholar 

  30. Laroche, M., Bergeron, J., Goutaland, C.: A three-dimensional scale of intangibility. Journal of Services Research 4, 26–38 (2001)

    Article  Google Scholar 

  31. Lee, P.-M.: Behavioral model of online purchasers in e-commerce environment. Electronic Commerce Research 2, 75–85 (2002)

    Article  Google Scholar 

  32. Lengel, R., Daft, R.: The selection of communication media as an executive skill. Academy of Management Executive 2, 225–233 (1988)

    Google Scholar 

  33. Lim, K.H., O’connor, M.J., Remus, W.E.: The Impact of Presentation Media on Decision Making: Does Multimedia Improve the Effectiveness of Feedback? Information & Management 42, 305–316 (2005)

    Article  Google Scholar 

  34. Markus, L.M.: Electronic mail as the medium of managerial choice. Organization Science 5, 502–527 (1994)

    Google Scholar 

  35. Mathwick, C., Rigdon, E.: Play, flow, and the online search experience. Journal of Consumer Research 31, 324–332 (2004)

    Article  Google Scholar 

  36. Menguc, B., Auh, S.: Creating a Firm-Level Dynamic Capability through Capitalizing on Market Orientation and Innovativeness. Journal of the Academy of Marketing Science 34, 63–73 (2006)

    Article  Google Scholar 

  37. Montoya-Weiss, M.M., Voss, G.B., Grewal, D.: Determinants of online channel use and overall satisfaction with a relational, multichannel service provider. Journal of the Academy of Marketing Science 31, 448–458 (2003)

    Article  Google Scholar 

  38. Mukherjee, A., Hoyer, W.D.: The effect of novel attributes on product evaluation. Journal of Consumer Research 28, 462–472 (2001)

    Article  Google Scholar 

  39. Muthitacharoen, A., Gillenson, M.L., Suwan, N.: Segmenting Online Customers to Manage Business Resources: a Study of the Impacts of Sales Channel Strategies on Consumer Preferences. Information & Management 43, 678–695 (2006)

    Article  Google Scholar 

  40. Nowlis, S.M., Simonson, I.: Sales Promotions and the Choice Context as Competing Influences on Consumer Decision Making. Journal of Consumer Psychology 9, 1–16 (2000)

    Article  Google Scholar 

  41. Pavlou, P.A., Fygenson, M.: Understanding and Predicting Electronic Commerce Adoption: an Extension of the Theory of Planned Behavior. MIS Quarterly 30, 115–143 (2006)

    Google Scholar 

  42. Ranganathan, C., Goode, V., Ramaprasad, A.: Managing the transition to bricks and clicks. Communications of the ACM 46, 308–316 (2003)

    Article  Google Scholar 

  43. Rice, R.E.: Task analyzability, use of new media, and effectiveness: A multi-site exploration of media richness. Organization Science 3, 475–500 (1992)

    Google Scholar 

  44. Rohm, A.J., Swaminathan, V.: A typology of online shoppers based on shopping motivations. Journal of Business Research 57, 748–757 (2004)

    Article  Google Scholar 

  45. Saeed, K.A., Hwang, Y.J., Yi, M.Y.: Toward an Integrative Framework for Online Consumer Behavior Research: A Meta-Analysis Approach. Journal of End User Computing 15, 1–26 (2003)

    Google Scholar 

  46. Sexton, R.S., Johnson, R.A., Hignite, M.A.: Predicting Internet/e-commerce use. Internet Research: Electronic Networking Applications and Policy 12, 402–410 (2002)

    Article  Google Scholar 

  47. Sharma, S., Durand, R.M., Gur-Arie, O.: Identification and analysis of moderator variables. Journal of Marketing Research 18, 291–300 (1981)

    Article  Google Scholar 

  48. Trevino, K., Lengel, W., Daft, R.: Media symbolism, media richness and media choice in organizations: A symbolic interactionist perspective. Communication Research 14, 553–575 (1987)

    Article  Google Scholar 

  49. Vickery, S.K., Droge, C., Stank, T.P., Goldsby, T.J., Markland, R.E.: The Performance Implications of Media Richness in a Business-to-Business Service Environment: Direct Versus Indirect Effects. Management Science 50, 1106–1119 (2004)

    Article  Google Scholar 

  50. Vijayasarathy, L.R.: Product Characteristics and Internet Shopping Intentions. Internet Research-Electronic Networking Applications and Policy 12, 411–426 (2002)

    Article  Google Scholar 

  51. Zhou, K.Z., Yim, C.K., Tse, D.K.: The Effects of Strategic Orientations on Technology- and Market-Based Breakthrough Innovations. Journal of Marketing 69, 42–60 (2005)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, C.P. 6079, succ. Centre-ville, Montreal (Quebec), H3C 3A7,  

    Eric Brunelle & Josée Lapierre

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  1. Eric Brunelle
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  2. Josée Lapierre
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Giuseppe Psaila Roland Wagner

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Brunelle, E., Lapierre, J. (2007). Examining the Relationship Between Individual Characteristics, Product Characteristics, and Media Richness Fit on Consumer Channel Preference. In: Psaila, G., Wagner, R. (eds) E-Commerce and Web Technologies. EC-Web 2007. Lecture Notes in Computer Science, vol 4655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74563-1_6

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  • DOI: https://doi.org/10.1007/978-3-540-74563-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74562-4

  • Online ISBN: 978-3-540-74563-1

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