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Intelligent decision-making of online shopping behavior based on internet of things

Author

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  • Fu, Hanliang
  • Manogaran, Gunasekaran
  • Wu, Kuang
  • Cao, Ming
  • Jiang, Song
  • Yang, Aimin

Abstract

The development of big data and Internet of things (IoT) have brought big changes to e-commerce. Different kinds of information sources have improved the consumers’ online shopping performance and make it possible to realize the business intelligence. Grip force and eye-tracking sensors are applied to consumers' online reviews search behavior by relating them to the research approaches in IoT. To begin with, public cognition of human contact degrees of recycled water reuses with grip force test was measured. According to the human contact degrees, 9 recycled water reuses presented by the experiment are classified into 4 categories. Based on the conclusion drawn from grip force test, purified recycled water and fresh vegetable irrigated with recycled water are regarded as the drinking for high-level human contact degree and the irrigation of food crops for low-level human contact degree respectively. Several pictures are designed for eye-tracking test by simulating an on-line shopping web page on Taobao (the most popular online shopping platform in China). By comparing the fixation time participants spent on the areas of interest (AOIs), we justify that consumers' online reviews search behavior is substantially affected by human contact degrees of recycled products. It was found that consumers rely on safety perception reviews when buying high contact goods.

Suggested Citation

  • Fu, Hanliang & Manogaran, Gunasekaran & Wu, Kuang & Cao, Ming & Jiang, Song & Yang, Aimin, 2020. "Intelligent decision-making of online shopping behavior based on internet of things," International Journal of Information Management, Elsevier, vol. 50(C), pages 515-525.
    • Handle: RePEc:eee:ininma:v:50:y:2020:i:c:p:515-525
    DOI: 10.1016/j.ijinfomgt.2019.03.010
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    Cited by:

    1. Naiana ŢARCĂ & Mirela BUCUREAN & Dinu SASU & Remus ROȘCA, 2022. "Analysis Of The Online Purchase Behaviour Of Romanians," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 230-246, December.
    2. Alexander Joseph Ibnu Wibowo, 2021. "Outcomes of Perceived Online Webshop Quality: Empirical Evidence," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 33(2), pages 149-164.
    3. Oana Pricopoaia & Nicoleta Cristache & Carmen Oprit Maftei & Ciprian Matis & Casian Faur, 2023. "Modelling Consumer Behaviour on Online Collaborative Platforms," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 205-218.
    4. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

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