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The impact of media richness on consumer information search and choice

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  • Maity, Moutusy
  • Dass, Mayukh
  • Kumar, Piyush

Abstract

Consumers' make decisions based on information gathered from sources that vary in the richness of the medium. Some media are rich, and include video and audio components, while others are lean and consist solely of text. This paper examines whether consumer's information search and the number of options that they consider when making choices depend on the richness of the medium from which consumers gather information. A series of experimental studies shows that an improvement in media richness reduces the cost of information search and increases the number of options that consumers consider when making choices. These studies also show that consumers tend to rely more on stimulus-based information when media richness is high and more on memory-based information when media richness is low. An investigation of the underlying process shows that perceived cost mediates the relationship between media richness and information search.

Suggested Citation

  • Maity, Moutusy & Dass, Mayukh & Kumar, Piyush, 2018. "The impact of media richness on consumer information search and choice," Journal of Business Research, Elsevier, vol. 87(C), pages 36-45.
  • Handle: RePEc:eee:jbrese:v:87:y:2018:i:c:p:36-45
    DOI: 10.1016/j.jbusres.2018.02.003
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    1. Ford, Gary T & Smith, Darlene B & Swasy, John L, 1990. "Consumer Skepticism of Advertising Claims: Testing Hypotheses from Economics of Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 433-441, March.
    2. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    3. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    4. Cortiñas, Mónica & Chocarro, Raquel & Villanueva, María Luisa, 2010. "Understanding multi-channel banking customers," Journal of Business Research, Elsevier, vol. 63(11), pages 1215-1221, November.
    5. Biehal, Gabriel & Chakravarti, Dipankar, 1982. "Information-Presentation Format and Learning Goals as Determinants of Consumers' Memory Retrieval and Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 431-441, March.
    6. Menon, Geeta & Raghubir, Priya & Schwarz, Norbert, 1995. "Behavioral Frequency Judgments: An Accessibility-Diagnosticity Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(2), pages 212-228, September.
    7. Kardes, Frank R, 1986. "Effects of Initial Product Judgments on Subsequent Memory-Based Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 1-11, June.
    8. Brucks, Merrie, 1985. "The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 1-16, June.
    9. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    10. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    11. Biehal, Gabriel & Chakravarti, Dipankar, 1983. "Information Accessibility as a Moderator of Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(1), pages 1-14, June.
    12. Chou, Szu-Yu & Shen, George C. & Chiu, Hung-Chang & Chou, Yu-Tsun, 2016. "Multichannel service providers' strategy: Understanding customers' switching and free-riding behavior," Journal of Business Research, Elsevier, vol. 69(6), pages 2226-2232.
    13. Srinivasan, Narasimhan & Ratchford, Brian T, 1991. "An Empirical Test of a Model of External Search for Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 233-242, September.
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