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Mapping consumer’s cross-device usage for online search: Mobile- vs. PC-based search in the purchase decision process

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  • Han, Sangman
  • Han, Jin K.
  • Im, Il
  • Jung, Sung In
  • Lee, Jung Won

Abstract

The ubiquity of both mobile devices and PC’s has enabled the modern-day consumer to engage in cross-platform online searches as a new norm. The accumulated knowledge on cross-device search behavior to date, however, emanates largely from industry reports and at an aggregate level. To better understand the individual consumer’s purchase decision process, we set out to investigate contingencies of what (subject of search), how (device of choice), and when (stage in the buying decision). To this end, we utilize a panel data consisting of clickstream from mobile and PC searches, coupled with entropy-based metric to chart the breadth and depth of browsing as well as topic modeling to glean insight into the nature and the themes of the search at different points en route to purchase. We find consumers generally preferring mobile device (PC) for breadth (depth) in search for the earlier (later) stages—lending support to the notion of two-stage decision-making even with cross-device usage. Other highlights include consumers exhibiting a pattern of extensively searching the purchased brand in the initial stages on mobile but not on PC. Moreover, a comparison of consumers with online conversion taking place exclusively via PC vs. across devices reveals a distinct preference for devices contingent upon the topics searched.

Suggested Citation

  • Han, Sangman & Han, Jin K. & Im, Il & Jung, Sung In & Lee, Jung Won, 2022. "Mapping consumer’s cross-device usage for online search: Mobile- vs. PC-based search in the purchase decision process," Journal of Business Research, Elsevier, vol. 142(C), pages 387-399.
    • Handle: RePEc:eee:jbrese:v:142:y:2022:i:c:p:387-399
    DOI: 10.1016/j.jbusres.2021.12.051
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    1. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Vinod Kumar, 2016. "Mobile Marketing Channel," SpringerBriefs in Business, in: Mobile Marketing Channel, chapter 0, pages 25-45, Springer.
    2. Bart J. Bronnenberg & Jun B. Kim & Carl F. Mela, 2016. "Zooming In on Choice: How Do Consumers Search for Cameras Online?," Marketing Science, INFORMS, vol. 35(5), pages 693-712, September.
    3. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    4. Grewal, Dhruv & Bart, Yakov & Spann, Martin & Zubcsek, Peter Pal, 2016. "Mobile Advertising: A Framework and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 3-14.
    5. Swait, Joffre & Adamowicz, Wiktor, 2001. "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 135-148, June.
    6. Dennis H. Gensch, 1987. "A Two-Stage Disaggregate Attribute Choice Model," Marketing Science, INFORMS, vol. 6(3), pages 223-239.
    7. Tsiros, Michael & Mittal, Vikas, 2000. "Regret: A Model of Its Antecedents and Consequences in Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 401-417, March.
    8. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    9. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Vinod Kumar, 2016. "Mobile Marketing Channel," SpringerBriefs in Business, Springer, number 978-3-319-31287-3, June.
    10. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Vinod Kumar, 2016. "Effective Mobile Channel," SpringerBriefs in Business, in: Mobile Marketing Channel, chapter 0, pages 65-88, Springer.
    11. Avdoshin S.M. & Pesotskaya E.Yu., 2016. "Mobile healthcare: perspectives in Russia," Бизнес-информатика, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», issue 3 (37), pages 38-44.
    12. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Vinod Kumar, 2016. "Design of the Mobile Channel Structure," SpringerBriefs in Business, in: Mobile Marketing Channel, chapter 0, pages 89-101, Springer.
    13. Bettman, James R. & Johnson, Eric J. & Payne, John W., 1990. "A componential analysis of cognitive effort in choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 45(1), pages 111-139, February.
    14. Shankar, Venkatesh & Kleijnen, Mirella & Ramanathan, Suresh & Rizley, Ross & Holland, Steve & Morrissey, Shawn, 2016. "Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 37-48.
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    Cited by:

    1. Alex Zarifis & Luis A. Castro, 2022. "The NFT Purchasing Process and the Challenges to Trust at Each Stage," Sustainability, MDPI, vol. 14(24), pages 1-13, December.

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