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Study on the steady state of the propagation model of consumers’ perceived service quality in the community group-buying

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  • Li, Jianfei
  • Li, Bei
  • Shen, Yang
  • Tang, Kun

Abstract

The consumption stickiness relationship established by community group buying is a typical complex social network. The network structure, member size, interaction frequency and purchase quantity are determined by the effective communication of customer perceived service quality (PSQ). This paper introduces the social reinforcement effect to construct a G-SCIR model of PSQ propagation in the community group-buying, and improves the calculation method of propagation probability and node status attributes. We use numerical simulation methods to explore how the social reinforcement effect can promote the spread of PSQ and achieve a steady state by influencing recovered nodes. The simulation results show that the G-SCIR model proposed in the paper has better stability and higher coverage than the traditional SCIR model. The change trend of the attributes of each node in the network is also closer to the real one, which can effectively simulate the propagation process and evolution characteristics of PSQ in the context of community group-buying. Meanwhile, the paper verifies that the steady state of PSQ propagation is usually affected by its initial conversion probability of community group-buying, its upper limit and social reinforcement factor, and there are significant Markov properties in the propagation process of PSQ. The findings may further enrich the community business and online group buying theory, and provide theoretical reference and practical guidance for community group-buying enterprises to optimize market layout and formulate scientific communication strategies.

Suggested Citation

  • Li, Jianfei & Li, Bei & Shen, Yang & Tang, Kun, 2022. "Study on the steady state of the propagation model of consumers’ perceived service quality in the community group-buying," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s0969698921004483
    DOI: 10.1016/j.jretconser.2021.102882
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    References listed on IDEAS

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    1. Lu, Peng & Deng, Liping & Liao, Hongbing, 2019. "Conditional effects of individual judgment heterogeneity in information dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 335-344.
    2. Yu Xiang Xia & Seong Wook Chae, 2021. "Sustainable Development of Online Group-Buying Websites: An Integrated Perspective of ECM and Relationship Marketing," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    3. Ababou, M. & Vandewalle, N. & Moussa, N. & El Bouziani, M. & Ludewig, F., 2011. "Epidemic spreading in a finite-precision BA model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3573-3578.
    4. Mohd Suki, Norazah & Mohd Suki, Norbayah, 2017. "Modeling the determinants of consumers' attitudes toward online group buying: Do risks and trusts matters?," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 180-188.
    5. Krishnan S. Anand & Ravi Aron, 2003. "Group Buying on the Web: A Comparison of Price-Discovery Mechanisms," Management Science, INFORMS, vol. 49(11), pages 1546-1562, November.
    6. Xiaoqing Jing & Jinhong Xie, 2011. "Group Buying: A New Mechanism for Selling Through Social Interactions," Management Science, INFORMS, vol. 57(8), pages 1354-1372, August.
    7. Wang, Jiakun & Wang, Xinhua & Li, Yun, 2019. "A discrete electronic word-of-mouth propagation model and its application in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    8. Klein, Andreas & Sharma, Varinder M., 2022. "Consumer decision-making styles, involvement, and the intention to participate in online group buying," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    9. Wang, Jeff Jianfeng & Zhao, Xin & Li, Julie Juan, 2013. "Group Buying: A Strategic Form of Consumer Collective," Journal of Retailing, Elsevier, vol. 89(3), pages 338-351.
    10. Sharma, Varinder M. & Klein, Andreas, 2020. "Consumer perceived value, involvement, trust, susceptibility to interpersonal influence, and intention to participate in online group buying," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    11. Laijun Zhao & Jiajia Wang & Rongbing Huang, 2015. "Immunization against the Spread of Rumors in Homogenous Networks," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
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    1. Zhu, Tengteng & Zhang, Lu & Zeng, Chuhong & Liu, Xin, 2022. "Rethinking value co-creation and loyalty in virtual travel communities: How and when they develop," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).

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