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Social Commerce and Customer-to-Customer Value Co-Creation Impact on Sustainable Customer Relationships

Author

Listed:
  • Abdullah A. Alhumud

    (College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia)

  • Ibrahim A. Elshaer

    (Management Department, College of Business Administration, King Faisal University, Hofuf 31982, Saudi Arabia
    Hotel Studies Department, Faculty of Tourism and Hotels, Suez Canal University, Ismailia 41522, Egypt)

Abstract

The advent of social commerce (SC) has transformed the landscape of online consumer behavior, emphasizing the significance of customer-to-customer relations in shaping sustainable relationships with customers. This research investigated the intricate relationships between social commerce dimensions, particularly suggestions and recommendations, forums and communities, and ratings and reviews, and their influence on customer-to-customer value co-creation (C2CVCC) and sustainable customer relationships (SCRs). A questionnaire was designed and administered to 635 respondents. We examined the psychometric properties of the measurements and subsequently applied partial least squares as a structural equation modeling method (PLS-SEM) for hypothesis testing. The findings revealed that the dimensions of SC significantly impact C2CVCC, with ratings and reviews playing a pivotal role. Furthermore, C2CVCC emerged as a substantial mediator in the path between SC and SCRs. The empirical analysis showcased strong support for the proposed model, with robust path coefficients (β) and p-values confirming direct and indirect effects. These findings offer valuable insights for businesses seeking to leverage SC and customer interactions to enhance SCRs in the digital era. Understanding the dynamics of C2CVCC within the context of SC has become essential for marketers and businesses aiming to thrive in today’s competitive online marketplace.

Suggested Citation

  • Abdullah A. Alhumud & Ibrahim A. Elshaer, 2024. "Social Commerce and Customer-to-Customer Value Co-Creation Impact on Sustainable Customer Relationships," Sustainability, MDPI, vol. 16(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4237-:d:1396862
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    References listed on IDEAS

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    1. Milad Farzin & Majid Fattahi, 2018. "eWOM through social networking sites and impact on purchase intention and brand image in Iran," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 15(2), pages 161-183, March.
    2. Skandalis, Alexandros, 2023. "Transitional space and new forms of value co-creation in online brand communities," Journal of Business Research, Elsevier, vol. 155(PA).
    3. Yi, Youjae & Gong, Taeshik, 2013. "Customer value co-creation behavior: Scale development and validation," Journal of Business Research, Elsevier, vol. 66(9), pages 1279-1284.
    4. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    6. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    7. Shih-Wei Chou & Chia-Shiang Hsu, 2016. "Understanding online repurchase intention: social exchange theory and shopping habit," Information Systems and e-Business Management, Springer, vol. 14(1), pages 19-45, February.
    8. Stephen L. Vargo & Robert F. Lusch, 2016. "Institutions and axioms: an extension and update of service-dominant logic," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 5-23, January.
    Full references (including those not matched with items on IDEAS)

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