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The effect of dynamic information cues on sales performance in live streaming e-commerce: an IFT and ELM perspective

Author

Listed:
  • Lin Xiao

    (Nanjing University of Aeronautics and Astronautics)

  • Xinru Lin

    (Nanjing University of Aeronautics and Astronautics)

  • Chuanmin Mi

    (Nanjing University of Aeronautics and Astronautics)

  • Shahriar Akter

    (University of Wollongong)

Abstract

Compared with traditional e-commerce, the advanced technology of live streaming e-commerce provides more dynamic information cues to enable viewers to make better decisions. Drawing on the information foraging theory (IFT) and elaboration likelihood model (ELM), we construct a synthetic model by considering how live streaming information cues influence viewers’ decision making via two distinct routes (central and peripheral). Using the technology of web crawling and text mining, Douyin’s live streaming data were collected, transformed, and then analyzed by fixed-effect regression. The results indicated that product interpretation duration, popularity cue, and herding information are significantly associated with sales performance in live streaming e-commerce. This study enriches our knowledge about live streaming e-commerce, extends the application of IFT and ELM in the individuals’ information foraging and processing by using objective data in the live streaming e-commerce context, and offers practical suggestions to live streaming e-commerce practitioners.

Suggested Citation

  • Lin Xiao & Xinru Lin & Chuanmin Mi & Shahriar Akter, 2025. "The effect of dynamic information cues on sales performance in live streaming e-commerce: an IFT and ELM perspective," Electronic Commerce Research, Springer, vol. 25(4), pages 2699-2728, August.
    • Handle: RePEc:spr:elcore:v:25:y:2025:i:4:d:10.1007_s10660-023-09774-6
    DOI: 10.1007/s10660-023-09774-6
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    References listed on IDEAS

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    1. Kang, Kai & Lu, Jinxuan & Guo, Lingyun & Li, Wenlu, 2021. "The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms," International Journal of Information Management, Elsevier, vol. 56(C).
    2. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    3. Guo, Yuanyuan & Zhang, Kexin & Wang, Chaoyou, 2022. "Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Yu, Shubin & Hudders, Liselot & Cauberghe, Verolien, 2018. "Are fashion consumers like schooling fish? The effectiveness of popularity cues in fashion e-commerce," Journal of Business Research, Elsevier, vol. 85(C), pages 105-116.
    5. Sun, Chunhua & Fang, Yuan & Kong, Meng & Chen, Xiayu & Liu, Yezheng, 2022. "Influence of augmented reality product display on consumers’ product attitudes: A product uncertainty reduction perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    6. Meng, Lu (Monroe) & Duan, Shen & Zhao, Yijun & Lü, Kevin & Chen, Siyun, 2021. "The impact of online celebrity in livestreaming E-commerce on purchase intention from the perspective of emotional contagion," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    7. Park, Hyun Jung & Lin, Li Min, 2020. "The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Li, You & Li, Xiaolin & Cai, Jiali, 2021. "How attachment affects user stickiness on live streaming platforms: A socio-technical approach perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    9. Bambauer-Sachse, Silke & Massera, Laura, 2015. "Interaction effects of different price claims and contextual factors on consumers' reference price adaptation after exposure to a price promotion," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 63-73.
    10. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    11. Chen, Aihui & Lu, Yaobin & Wang, Bin, 2017. "Customers’ purchase decision-making process in social commerce: A social learning perspective," International Journal of Information Management, Elsevier, vol. 37(6), pages 627-638.
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