Articles | 2023-06-30

Factors affecting Co-Creation Intention of Customers in Social Commerce

Fauzia Shabrina , Klemens Wedanaji Prasastyo, Ian Nurpatria Suryawan
Quantitative Economics and Management Studies, Vol. 4 No. 3 (2023), pp. 516-522 https://doi.org/10.35877/454RI.qems1687 Published: 2023-06-30
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Abstract

This paper investigates the effects of social support, social commerce information sharing, and social commerce value on brand engagement and the effect of brand engagement on co-creation intention. This paper also investigates the mediating role of brand engagement on the relation between social support, social commerce information sharing, social commerce value and co-creation intention. The study used survey data from 279 Indonesians with experience using social commerce sites and make purchase transactions through social media sites. The model was tested using PLS structural equation modelling with WarpPLS 8.0 program. The empirical findings indicate that social support, social commerce information sharing, and social commerce value has a significant direct effect on brand engagement.  The study also revealed that brand engagement has a significant direct effect on co-creation intention. The mediation test results indicate that brand engagement does not mediate social support, social commerce information sharing, and social commerce value on co-creation intention. This study provides an understanding that co-creation intention has become a common feature within the social commerce context and managers should make efforts to effectively engage with customers by implementing the relevant social commerce feature.

Keywords

References (19)

  1. Bazi, S., Hajli, A., Hajli, N., Shanmugam, M., & Lin, X. (2020). Winning engaged consumers: The rules of brand engagement and intention of co-creation in social commerce. Information Technology and People, 33(2), 456–476. https://doi.org/10.1108/ITP-09-2018-0415
  2. Bilgihan, A., Peng, C., & Kandampully, J. (2014). Generation Y’s dining information seeking and sharing behavior on social networking sites: An exploratory study. International Journal of Contemporary Hospitality Management, 26(3), 349–366. https://doi.org/10.1108/IJCHM-11-2012-0220
  3. Databoks. (2019) Proyeksi pengguna Internet di Indonesia 2017-2023
  4. Fornell, C., & Larcker F., D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, XVIII(February), 39–50.
  5. Gottlieb, B. H., & Bergen, A. E. (2010). Social support concepts and measures. Journal of Psychosomatic Research, 69(5), 511–520. https://doi.org/10.1016/j.jpsychores.2009.10.001
  6. Grace, D., Ross, M. & Shao, W. (2015). Examining the relationship between social media characteristics and psychological dispositions. European Journal of Marketing, 49(9/10), 1366–1390.
  7. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks. In Sage. SAGE Publications, Inc.
  8. Hajli, M. N. (2014a). Social commerce for innovation. International Journal of Innovation Management, 18(4), 1–24. https://doi.org/10.1142/S1363919614500248
  9. Hajli, M. N. (2014b). The role of social support on relationship quality and social commerce. Technological Forecasting and Social Change, 87, 17–27. https://doi.org/10.1016/j.techfore.2014.05.012
  10. Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246–259. https://doi.org/10.1016/j.elerap.2012.12.003

How to Cite

Shabrina , F., Prasastyo, K. W., & Suryawan, I. N. (2023). Factors affecting Co-Creation Intention of Customers in Social Commerce. Quantitative Economics and Management Studies, 4(3), 516–522. https://doi.org/10.35877/454RI.qems1687