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Preliminary Research of Information Overload from Information Search and Information Follow

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  • He Tingting

    (PhD, Governors State University, College of Business, Division of Management, Marketing and Entrepreneurship 1 University Pkwy, University Park, IL 60484, USA)

Abstract

The major objective of this research is to test if two types of information overload are different: Information overload from searching for the information someone needs to search, and information overload from following all the information someone needs to follow. These two types of information overload may be labelled information search overload and information follow overload, corresponding to the concepts of information search and information follow. Using the data of a survey from a sample of about 1600 respondents across 50 states in the United States, the research identified 2 items corresponding to information search overload and information follow overload, and ran analyses including correlation and logistic regression with the 2 items separately as the dependent variables, and with some other items about consumers’ activities involving information as independent variables. Results of the various analyses suggest that information search overload and information follow overload are different, especially in terms of how they associate with different variables of consumer activities involving information, therefore indicate as a preliminary research that we may separate the two types of information overload in our future research.

Suggested Citation

  • He Tingting, 2020. "Preliminary Research of Information Overload from Information Search and Information Follow," Marketing of Scientific and Research Organizations, Sciendo, vol. 38(4), pages 1-20, December.
  • Handle: RePEc:vrs:mosaro:v:38:y:2020:i:4:p:1-20:n:1
    DOI: 10.2478/minib-2020-0024
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    References listed on IDEAS

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    1. Lin, Chang-Chun, 2006. "Optimal Web site reorganization considering information overload and search depth," European Journal of Operational Research, Elsevier, vol. 173(3), pages 839-848, September.
    2. Jacoby, Jacob & Speller, Donald E & Berning, Carol A Kohn, 1974. "Brand Choice Behavior as a Function of Information Load: Replication and Extension," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(1), pages 33-42, June.
    3. Quentin Jones & Gilad Ravid & Sheizaf Rafaeli, 2004. "Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration," Information Systems Research, INFORMS, vol. 15(2), pages 194-210, June.
    4. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    5. Fernando Branco & Monic Sun & J. Miguel Villas-Boas, 2016. "Too Much Information? Information Provision and Search Costs," Marketing Science, INFORMS, vol. 35(4), pages 605-618, July.
    6. Anderson, Matthew J., 1988. "A comparative analysis of information search and evaluation behavior of professional and non-professional financial analysts," Accounting, Organizations and Society, Elsevier, vol. 13(5), pages 431-446, August.
    7. Jacoby, Jacob, 1984. "Perspectives on Information Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 432-435, March.
    8. Benjamin Scheibehenne & Rainer Greifeneder & Peter M. Todd, 2010. "Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 409-425, October.
    9. Sergei Koulayev, 2014. "Search for differentiated products: identification and estimation," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 553-575, September.
    10. Brian T. Ratchford & Narasimhan Srinivasan, 1993. "An Empirical Investigation of Returns to Search," Marketing Science, INFORMS, vol. 12(1), pages 73-87.
    11. Simon P. Anderson & André De Palma, 2009. "Information congestion," RAND Journal of Economics, RAND Corporation, vol. 40(4), pages 688-709, December.
    12. Shields, Michael D., 1980. "Some effects on information load on search patterns used to analyze performance reports," Accounting, Organizations and Society, Elsevier, vol. 5(4), pages 429-442, October.
    13. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
    14. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. "Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 263-277, March.
    15. Peter Gordon Roetzel, 2019. "Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework developmen," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 479-522, December.
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