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Information Accessed or Information Available? The Impact on Consumer Preferences Inferred at a Durable Product E-commerce Website

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  • Currim, Imran S.
  • Mintz, Ofer
  • Siddarth, S.

Abstract

Most previous choice modeling research infers preferences by assuming that consumers consider all the information available at the point-of-purchase. Because e-commerce sites increasingly incorporate tracking technologies that can monitor consumer behavior on their site, our research studies how incorporating the information accessed by consumers into a choice model impacts model performance and inferred preferences. We use data from an electronic goods manufacturer that monitored the attribute information accessed by 582 shoppers while they made Customize and Buy decisions at the firm's website. We find that incorporating the information accessed by consumers into the choice model provides more valid estimates of attribute preferences and better fitting choice models than models based on information available. Because firms can easily obtain this type of information as a by-product of their online operations, we propose that managers who monitor information acquisition and apply the information accessed model will have a useful methodology to gain a better understanding of consumer preferences.

Suggested Citation

  • Currim, Imran S. & Mintz, Ofer & Siddarth, S., 2015. "Information Accessed or Information Available? The Impact on Consumer Preferences Inferred at a Durable Product E-commerce Website," Journal of Interactive Marketing, Elsevier, vol. 29(C), pages 11-25.
  • Handle: RePEc:eee:joinma:v:29:y:2015:i:c:p:11-25
    DOI: 10.1016/j.intmar.2014.09.003
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    References listed on IDEAS

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    Cited by:

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    2. Lallement, Jeanne & Dejean, Sylvain & Euzéby, Florence & Martinez, Carole, 2020. "The interaction between reputation and information search: Evidence of information avoidance and confirmation bias," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    3. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2020. "Inferring attribute non-attendance using eye tracking in choice-based conjoint analysis," Journal of Business Research, Elsevier, vol. 111(C), pages 290-304.
    4. Jin Li & Kwok Fai Tso & Fangtao Liu, 2017. "Profit earning and monetary loss bidding in online entertainment shopping: the impacts of bidding patterns and characteristics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 77-90, February.
    5. Uma Shankar Singh & Malgorzata Nermend & Swapnil Singh, 2022. "Nurturing Green Consumer Values and Renewable Energy Reliance through Societal Education in Uttar Pradesh for Inclusive Capacity Building," Energies, MDPI, vol. 16(1), pages 1-26, December.
    6. Gilbride, Timothy J. & Currim, Imran S. & Mintz, Ofer & Siddarth, S., 2016. "A Model for Inferring Market Preferences from Online Retail Product Information Matrices," Journal of Retailing, Elsevier, vol. 92(4), pages 470-485.
    7. Jun, Seung-Pyo & Park, Do-Hyung, 2016. "Consumer information search behavior and purchasing decisions: Empirical evidence from Korea," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 97-111.

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