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Information - Seeking as Optimal Consumer Experience. An Empirical Investigation

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  • Alina Lazoc

    (Dimitrie Cantemir Christian University)

Abstract

The central objective of this paper is to investigate the mechanisms leading to the formation of an optimal emotional-cognitive involvement of consumers during the act of online information searching and, thus, to the development of an open, exploratory information behaviour. We set out to improve the understanding of the online medium`s impact on the information seeking experience and further on human`s exploratory information behaviour. The paper is organized in six sections. We start by delineating the purpose of our study. Then we present our research model and its underlying hypotheses. Thirdly, we discuss the theoretical and empirical background of the constructs employed in our model. The fourth section contains a description of the data collection procedures and the related practical matters. Finally, we offer a detailed presentation of the empirical test results and conclude with some theoretical and managerial implications of conceptualizing and modelling consumers’ optimal online information-seeking experiences.

Suggested Citation

  • Alina Lazoc, 2013. "Information - Seeking as Optimal Consumer Experience. An Empirical Investigation," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(6), pages 1-17, December.
    • Handle: RePEc:spp:jkmeit:spi13-17
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    References listed on IDEAS

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    1. 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.
    2. Richard, Marie-Odile & Chandra, Ramdas, 2005. "A model of consumer web navigational behavior: conceptual development and application," Journal of Business Research, Elsevier, vol. 58(8), pages 1019-1029, August.
    3. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
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