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Actualizing Social Affordances in Live Streaming: The Role of Real-Time Interaction in Building Community Commitment

Received: 23 March 2026     Accepted: 8 April 2026     Published: 21 April 2026
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Abstract

This study investigates how real-time interaction in live streaming environments drives users’ community commitment from a social affordance perspective. Drawing on Social Exchange Theory and the affordance perspective, a structural model is developed to explain how real-time interactivity facilitates parasocial interaction, promotes vicarious learning and knowledge adoption, and generates perceived benefits that ultimately lead to community commitment. Using survey data collected from 451 users of the Douyin platform and analyzed through structural equation modeling, the results provide empirical support for the proposed relationships. The findings indicate that real-time interactivity significantly enhances parasocial interaction between users and streamers, which in turn promotes both vicarious learning and knowledge adoption. These cognitive processes further generate perceived benefits, specifically hedonic benefit and self-esteem benefit, both of which positively influence users’ community commitment. Notably, self-esteem benefit shows a relatively stronger effect than hedonic benefit, indicating its greater importance in predicting sustained user engagement in live streaming communities. This study contributes to the literature by clarifying the mechanism through which social affordances are actualized in live streaming contexts and by integrating emotional and cognitive pathways to explain user commitment. It also extends prior research by positioning parasocial interaction as a key mediating mechanism linking interactive features and user outcomes. From a practical perspective, the findings provide insights for platform designers and content creators on how to enhance interactive features and develop engagement strategies that foster long-term community participation.

Published in International Journal of Economics, Finance and Management Sciences (Volume 14, Issue 2)
DOI 10.11648/j.ijefm.20261402.15
Page(s) 161-172
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Live Streaming, Social Affordances, Real-time Interaction, Parasocial Interaction, Community Commitment

References
[1] Jiang, C., He, L., & Xu, S. (2024). Relationships among para-social interaction, perceived benefits, community commitment, and customer citizenship behavior: Evidence from a social live-streaming platform. Acta Psychologica, 250, 104534.
[2] Zhang, Y., Li, K., Qian, C., Li, X., & Yuan, Q. (2024). How real-time interaction and sentiment influence online sales? Understanding the role of live streaming danmaku. Journal of Retailing and Consumer Services, 78, 103793.
[3] Shen, H., Zhang, Y., & Hu, Y. (2025). Immersion and behavioral intention in social media: Tiktok’s ‘travel live streaming’ perspective. Sage Open, 15(3), 21582440251367833.
[4] He, D., Yao, Z., Tang, P., & Ma, Y. (2023). Impacts of different interactions on viewers’ sense of virtual community: an empirical study of live streaming platform. Behaviour & Information Technology, 42(7), 940-960.
[5] Aw, E. C. X., Thomas, S., Patel, R., Bhatt, V., Pandey, S., & Kulkarni, P. (2025). Virtual gift donation on social live streaming platforms: insights from SEM-IPMA-ANN-NCA methods. Electronic Commerce Research, 1-37.
[6] Huang, Y., & Mohamad, S. H. (2025). Examining the impact of parasocial interaction and social presence on impulsive purchase in live streaming commerce context. Frontiers in Communication, 10, 1554681.
[7] Gibson, J. J. (1977). The theory of affordances. R. Shaw and J. Bransford (eds.), Perceiving, Acting and Knowing.
[8] Roberts, J. A., & David, M. E. (2025). Technology affordances, social media engagement, and social media addiction: An investigation of Tiktok, Instagram Reels, and Youtube Shorts. Cyberpsychology, Behavior, and Social Networking, 28(5), 318-325.
[9] Volkoff, O., & Strong, D. M. (2013). Critical realism and affordances: theorizing IT-associated organizational change processes1. MIS quarterly, 37(3), 819-834.
[10] Jia, M., Zhao, Y. C., Song, S., Zhang, X., Wu, D., & Li, J. (2024). How vicarious learning increases users’ knowledge adoption in live streaming: The roles of parasocial interaction, social media affordances, and knowledge consensus. Information Processing & Management, 61(2), 103599.
[11] Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36(1), 143-189.
[12] Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B. (2013). The contradictory influence of social media affordances on online communal knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 38-55.
[13] Yang, Y., Chung, H. F., Elms, J., & Fletcher, P. (2025). IT affordance, organizational learning, business networking and B2B performance: A multi-channel networks perspective. Industrial Marketing Management, 129, 197-218.
[14] Horton, D., & Richard Wohl, R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. psychiatry, 19(3), 215-229.
[15] Lo, P. S., Dwivedi, Y. K., Tan, G. W. H., Ooi, K. B., Aw, E. C. X., & Metri, B. (2022). Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research, 147, 325-337.
[16] Liu, L., Dong, Q., Wang, X., Su, C., & Zhu, M. (2025). Unpacking the link between parasocial relationships and gifting in live streaming: A mediation and moderation perspective. Journal of Retailing and Consumer Services, 87, 104436.
[17] Hao, S., & Chen, H. (2026). Streamers and viewers in live-streaming e-commerce: a social learning perspective. Management Decision, 64(1), 92-114.
[18] Bandura, A., & Walters, R. H. (1977). Social learning theory (Vol. 1, pp. 33-52). Englewood Cliffs, NJ: Prentice-hall.
[19] Homans, G. C. (1974). Social behavior: Its elementary forms.
[20] Blau, P. M. (1964). Exchange and power in social life.
[21] Giertz, J. N., Weiger, W. H., Törhönen, M., & Hamari, J. (2022). Content versus community focus in live streaming services: how to drive engagement in synchronous social media. Journal of Service Management, 33(1), 33-58.
[22] Kuo, Y. F., & Feng, L. H. (2013). Relationships among community interaction characteristics, perceived benefits, community commitment, and oppositional brand loyalty in online brand communities. International journal of information management, 33(6), 948-962.
[23] Nambisan, S., & Baron, R. A. (2009). Virtual customer environments: testing a model of voluntary participation in value co‐creation activities. Journal of product innovation management, 26(4), 388-406.
[24] Giles, D. C. (2002). Parasocial interaction: A review of the literature and a model for future research. Media psychology, 4(3), 279-305.
[25] Dong, X., Liu, X., & Xiao, X. (2023). Understanding the influencing mechanism of users’ participation in live streaming shopping: A socio-technical perspective. Frontiers in Psychology, 13, 1082981.
Cite This Article
  • APA Style

    Bong, X., Margushina, A. (2026). Actualizing Social Affordances in Live Streaming: The Role of Real-Time Interaction in Building Community Commitment. International Journal of Economics, Finance and Management Sciences, 14(2), 161-172. https://doi.org/10.11648/j.ijefm.20261402.15

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    ACS Style

    Bong, X.; Margushina, A. Actualizing Social Affordances in Live Streaming: The Role of Real-Time Interaction in Building Community Commitment. Int. J. Econ. Finance Manag. Sci. 2026, 14(2), 161-172. doi: 10.11648/j.ijefm.20261402.15

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    AMA Style

    Bong X, Margushina A. Actualizing Social Affordances in Live Streaming: The Role of Real-Time Interaction in Building Community Commitment. Int J Econ Finance Manag Sci. 2026;14(2):161-172. doi: 10.11648/j.ijefm.20261402.15

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  • @article{10.11648/j.ijefm.20261402.15,
      author = {Xinjie Bong and Aleksandra Margushina},
      title = {Actualizing Social Affordances in Live Streaming: 
    The Role of Real-Time Interaction in Building Community Commitment},
      journal = {International Journal of Economics, Finance and Management Sciences},
      volume = {14},
      number = {2},
      pages = {161-172},
      doi = {10.11648/j.ijefm.20261402.15},
      url = {https://doi.org/10.11648/j.ijefm.20261402.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20261402.15},
      abstract = {This study investigates how real-time interaction in live streaming environments drives users’ community commitment from a social affordance perspective. Drawing on Social Exchange Theory and the affordance perspective, a structural model is developed to explain how real-time interactivity facilitates parasocial interaction, promotes vicarious learning and knowledge adoption, and generates perceived benefits that ultimately lead to community commitment. Using survey data collected from 451 users of the Douyin platform and analyzed through structural equation modeling, the results provide empirical support for the proposed relationships. The findings indicate that real-time interactivity significantly enhances parasocial interaction between users and streamers, which in turn promotes both vicarious learning and knowledge adoption. These cognitive processes further generate perceived benefits, specifically hedonic benefit and self-esteem benefit, both of which positively influence users’ community commitment. Notably, self-esteem benefit shows a relatively stronger effect than hedonic benefit, indicating its greater importance in predicting sustained user engagement in live streaming communities. This study contributes to the literature by clarifying the mechanism through which social affordances are actualized in live streaming contexts and by integrating emotional and cognitive pathways to explain user commitment. It also extends prior research by positioning parasocial interaction as a key mediating mechanism linking interactive features and user outcomes. From a practical perspective, the findings provide insights for platform designers and content creators on how to enhance interactive features and develop engagement strategies that foster long-term community participation.},
     year = {2026}
    }
    

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    T1  - Actualizing Social Affordances in Live Streaming: 
    The Role of Real-Time Interaction in Building Community Commitment
    AU  - Xinjie Bong
    AU  - Aleksandra Margushina
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    T2  - International Journal of Economics, Finance and Management Sciences
    JF  - International Journal of Economics, Finance and Management Sciences
    JO  - International Journal of Economics, Finance and Management Sciences
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    EP  - 172
    PB  - Science Publishing Group
    SN  - 2326-9561
    UR  - https://doi.org/10.11648/j.ijefm.20261402.15
    AB  - This study investigates how real-time interaction in live streaming environments drives users’ community commitment from a social affordance perspective. Drawing on Social Exchange Theory and the affordance perspective, a structural model is developed to explain how real-time interactivity facilitates parasocial interaction, promotes vicarious learning and knowledge adoption, and generates perceived benefits that ultimately lead to community commitment. Using survey data collected from 451 users of the Douyin platform and analyzed through structural equation modeling, the results provide empirical support for the proposed relationships. The findings indicate that real-time interactivity significantly enhances parasocial interaction between users and streamers, which in turn promotes both vicarious learning and knowledge adoption. These cognitive processes further generate perceived benefits, specifically hedonic benefit and self-esteem benefit, both of which positively influence users’ community commitment. Notably, self-esteem benefit shows a relatively stronger effect than hedonic benefit, indicating its greater importance in predicting sustained user engagement in live streaming communities. This study contributes to the literature by clarifying the mechanism through which social affordances are actualized in live streaming contexts and by integrating emotional and cognitive pathways to explain user commitment. It also extends prior research by positioning parasocial interaction as a key mediating mechanism linking interactive features and user outcomes. From a practical perspective, the findings provide insights for platform designers and content creators on how to enhance interactive features and develop engagement strategies that foster long-term community participation.
    VL  - 14
    IS  - 2
    ER  - 

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