IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i4p2122-d748235.html
   My bibliography  Save this article

The Influencing Factors on Impulse Buying Behavior of Consumers under the Mode of Hunger Marketing in Live Commerce

Author

Listed:
  • Zhenfang Zhang

    (School of Economics and Management, Shanxi University, Taiyuan 030006, China)

  • Nan Zhang

    (School of Economics and Management, Shanxi University, Taiyuan 030006, China)

  • Jiguang Wang

    (School of Economics and Management, Shanxi University, Taiyuan 030006, China)

Abstract

The sustainability of live commerce is closely dependent on the impulse buying behavior of consumers because of its live characters compared to the traditional e-commerce mode. Hunger marketing is a widely adopted mode in live commerce, however, the influencing factors on impulse buying behavior of consumers under the mode of hunger marketing in live commerce is currently lacking. Here, based on SOR theory, we carefully studied how external stimulus variables (anchor characteristics, online comments, logistics service quality, promotion incentive information, and promotional time limit) affected consumers’ impulse buying behavior under the inner mechanism reaction factors (perceived trust and perceived value). By collecting questionnaires from 533 Chinese online consumers, we processed these data using SPSS23.0 and analyzed them using the structural equation model (SEM) generated by AMOS 25.0. The results showed that extrinsic stimulus variables (except for the promotional time limit variable) have significant positive effects on impulse buying behavior through partial or total positive effects on intrinsic mechanisms. We analyzed the reasons for all these results in detail, and thought the reason that the promotional time limit did not have a significant impact on the perceived value might be due to the rapid increase in the frequency of live commerce. Moreover, we also put forward the suggestions on the basis of these influencing factors to improve the sustainable development of live commerce.

Suggested Citation

  • Zhenfang Zhang & Nan Zhang & Jiguang Wang, 2022. "The Influencing Factors on Impulse Buying Behavior of Consumers under the Mode of Hunger Marketing in Live Commerce," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2122-:d:748235
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/4/2122/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/4/2122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng, Hong & Fu, Qiang & Zhang, Lan, 2020. "How to Launch a New Durable Good: A Signaling Rationale for Hunger Marketing," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    2. Xiaoxiao Gong & Zuoliang Ye & Kuo Liu & Na Wu, 2020. "The Effects of Live Platform Exterior Design on Sustainable Impulse Buying: Exploring the Mechanisms of Self-Efficacy and Psychological Ownership," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. (Gina) Cui, Yuanyuan & (Sam) Kim, Seongseop & Kim, Jungkeun, 2021. "Impact of preciseness of price presentation on the magnitude of compromise and decoy effects," Journal of Business Research, Elsevier, vol. 132(C), pages 641-652.
    4. Said Echchakoui, 2018. "An analytical model that links customer-perceived value and competitive strategies," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(4), pages 138-149, December.
    5. Ravi Narayanaswamy & Richard A. Heiens, 2018. "Online sales promotion in hedonic versus utilitarian product categories," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 9(1), pages 77-88.
    6. Rook, Dennis W & Fisher, Robert J, 1995. "Normative Influences on Impulsive Buying Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(3), pages 305-313, December.
    7. Zhao, Jing-Di & Huang, Jin-Song & Su, Song, 2019. "The effects of trust on consumers’ continuous purchase intentions in C2C social commerce: A trust transfer perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 42-49.
    8. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    9. Li, Chunxiao & Wang, Yuting & Lv, Xingyang & Li, Hui, 2021. "To buy or not to buy? The effect of time scarcity and travel experience on tourists' impulse buying," Annals of Tourism Research, Elsevier, vol. 86(C).
    10. Payne, John W. & Bettman, James R. & Luce, Mary Frances, 1996. "When Time Is Money: Decision Behavior under Opportunity-Cost Time Pressure," Organizational Behavior and Human Decision Processes, Elsevier, vol. 66(2), pages 131-152, May.
    11. Xingli Wu & Huchang Liao, 2021. "Learning judgment benchmarks of customers from online reviews," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 1125-1157, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lifu Li & Yafei Feng & Anqi Zhao, 2024. "An interaction–immersion model in live streaming commerce: the moderating role of streamer attractiveness," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 701-716, September.
    2. Jinjing Yang & Cong Cao & Chensang Ye & Yangyan Shi, 2022. "Effects of Interface Design and Live Atmosphere on Consumers’ Impulse-Buying Behaviour from the Perspective of Human–Computer Interaction," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    3. Ying Wang & Jialing Pan & Yizhi Xu & Jianli Luo & Yongjiao Wu, 2022. "The Determinants of Impulsive Buying Behavior in Electronic Commerce," Sustainability, MDPI, vol. 14(12), pages 1-18, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    2. Xiyun Gong & Choy Leong Yee & Shin Yiing Lee & Ethan Yi Cao & Abu Naser Mohammad Saif, 2024. "Knowledge mapping of impulsive buying behavior research: a visual analysis using CiteSpace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    3. Jeanne Lallement, 2010. "L'impact de la pression temporelle sur le traitement des informations," Post-Print hal-01488477, HAL.
    4. Rob Kim Marjerison & Jiamin Hu & Hantao Wang, 2022. "The Effect of Time-Limited Promotion on E-Consumers’ Public Self-Consciousness and Purchase Behavior," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    5. S. Iglesias-Parro & A. Ortega & E. De la Fuente & I. Martín, 2001. "Context Variables as Cognitive Effort Modulators in Decision Making Using an Alternative-Based Processing Strategy," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(3), pages 311-323, August.
    6. Ali Aouad & Vivek Farias & Retsef Levi, 2021. "Assortment Optimization Under Consider-Then-Choose Choice Models," Management Science, INFORMS, vol. 67(6), pages 3368-3386, June.
    7. Qu, Yi & Khan, Jashim & Su, Yuyang & Tong, Jiao & Zhao, Shuo, 2023. "Impulse buying tendency in live-stream commerce: The role of viewing frequency and anticipated emotions influencing scarcity-induced purchase decision," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Kumar Padamwar, Pravesh & Kumar Kalakbandi, Vinay & Dawra, Jagrook, 2023. "Deliberation does not make the attraction effect disappear: The role of induced cognitive reflection," Journal of Business Research, Elsevier, vol. 154(C).
    9. Luce, Mary Frances & Payne, John W. & Bettman, James R., 2000. "Coping with Unfavorable Attribute Values in Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 81(2), pages 274-299, March.
    10. Axel Sonntag, 2013. "Search Costs in Consumer Product Choice: Does Delaying the Provision of Information increase Choice Efficiency?," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 13-05, School of Economics, University of East Anglia, Norwich, UK..
    11. S. Iglesias-Parro & E.I. De la Fuente & A.R. Ortega, 2002. "The effect of context variables on cognitive effort in multiattribute binary choice," Theory and Decision, Springer, vol. 52(2), pages 101-125, March.
    12. Wang, Yuting & Li, Hui, 2024. "Trust transfer effect: The impact of effective market order on tourists' purchase behavior," Annals of Tourism Research, Elsevier, vol. 105(C).
    13. Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
    14. Popovich, Deidre & Hamilton, Ryan, 2021. "Intermediate Choice Lists: How Product Attributes Influence Purchase Likelihood in a Self-Imposed Delay," Journal of Retailing, Elsevier, vol. 97(2), pages 251-266.
    15. Han, Min Chung, 2023. "Checkout button and online consumer impulse-buying behavior in social commerce: A trust transfer perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    16. Sonntag, Axel, 2015. "Search costs and adaptive consumers: Short time delays do not affect choice quality," Journal of Economic Behavior & Organization, Elsevier, vol. 113(C), pages 64-79.
    17. Hyowon Kim & Dong Soo Kim & Greg M. Allenby, 2020. "Benefit Formation and Enhancement," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 419-468, December.
    18. Skallerud, Kåre & Korneliussen, Tor & Olsen, Svein Ottar, 2009. "An examination of consumers’ cross-shopping behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 16(3), pages 181-189.
    19. Wei He & Chenyuan Jin, 2024. "A study on the influence of the characteristics of key opinion leaders on consumers’ purchase intention in live streaming commerce: based on dual-systems theory," Electronic Commerce Research, Springer, vol. 24(2), pages 1235-1265, June.
    20. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2122-:d:748235. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.