IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v13y2022i2p169.html
   My bibliography  Save this article

Social Commerce Constructs and Buyer-Seller Relationship Quality as a predictor of Intention to Co-Creation in Branding

Author

Listed:
  • Prasittichai Narakorn
  • Tummatinna Seesupan

Abstract

The main objective of this research was to examine the Rating and Reviews, Forums and Communities, and Buyer-Seller Relationship Quality as factors influencing the Intention to Co-creation in Branding. The researchers used quantitative method which involved empirical research. A questionnaire was used to collect data from 512 customers who buy products from online business. The researcher did data analysis by percentage, mean, SD, and Structural Equation Model analysis by AMOS. Referring to research findings, it was found as follows (1) the model for Intention to Co-Creation in Branding which includes Rating and Reviews, Forums and Communities, and Buyer-Seller Relationship Quality was aligned with the empirical data at good level (c2 = 78.903, df = 66, p-value = .133, c2/df = 1.196, GFI = .979, IFI = .996, CFI = .996, RMSEA = .020) (2) the factor of Rating and Reviews, Forums and Communities, and Buyer-Seller Relationship Quality affected the Intention to Co-Creation in Branding at statistical level of significance (p < .05) and all factors predicts the Intention to Co-Creation in Branding at 44.10 (R2 = 0.441).

Suggested Citation

  • Prasittichai Narakorn & Tummatinna Seesupan, 2019. "Social Commerce Constructs and Buyer-Seller Relationship Quality as a predictor of Intention to Co-Creation in Branding," Modern Applied Science, Canadian Center of Science and Education, vol. 13(2), pages 169-169, February.
    • Handle: RePEc:ibn:masjnl:v:13:y:2022:i:2:p:169
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/0/0/38230/38746
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/0/38230
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Constance Elise Porter & Naveen Donthu, 2008. "Cultivating Trust and Harvesting Value in Virtual Communities," Management Science, INFORMS, vol. 54(1), pages 113-128, January.
    2. Hajli, Nick & Sims, Julian, 2015. "Social commerce: The transfer of power from sellers to buyers," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 350-358.
    3. Yahia, Imene Ben & Al-Neama, Nasser & Kerbache, Laoucine, 2018. "Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 11-19.
    4. Bai, Yan & Yao, Zhong & Dou, Yi-Fan, 2015. "Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com," International Journal of Information Management, Elsevier, vol. 35(5), pages 538-550.
    5. Hajli, M. Nick, 2014. "The role of social support on relationship quality and social commerce," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 17-27.
    6. Hajli, Nick, 2015. "Social commerce constructs and consumer's intention to buy," International Journal of Information Management, Elsevier, vol. 35(2), pages 183-191.
    Full references (including those not matched with items on IDEAS)

    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. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    2. Jian Wang & Fakhar Shahzad & Zeeshan Ahmad & Muhammad Abdullah & Nadir Munir Hassan, 2022. "Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach," SAGE Open, , vol. 12(2), pages 21582440221, April.
    3. Busalim, Abdelsalam H. & Hussin, Ab Razak Che, 2016. "Understanding social commerce: A systematic literature review and directions for further research," International Journal of Information Management, Elsevier, vol. 36(6), pages 1075-1088.
    4. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    5. Lin, Xiaolin & Li, Yibai & Wang, Xuequn, 2017. "Social commerce research: Definition, research themes and the trends," International Journal of Information Management, Elsevier, vol. 37(3), pages 190-201.
    6. Shirazi, Farid & Hajli, Nick & Sims, Julian & Lemke, Fred, 2022. "The role of social factors in purchase journey in the social commerce era," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Mustafa Kavacik & Kevser Çinar & Saadet Zafer Kavacik, 2023. "Visual Mapping of Social Commerce Articles on WoS Database Between 1995 and 2023," SAGE Open, , vol. 13(4), pages 21582440231, December.
    8. Khan, Asad & Rezaei, Sajad & Valaei, Naser, 2022. "Social commerce advertising avoidance and shopping cart abandonment: A fs/QCA analysis of German consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    9. Simona Sternad Zabukovšek & Samo Bobek & Uroš Zabukovšek & Zoran Kalinić & Polona Tominc, 2022. "Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)," Mathematics, MDPI, vol. 10(9), pages 1-28, April.
    10. Raed S. Algharabat & Nripendra P. Rana, 0. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    11. Fujita, Momoko & Harrigan, Paul & Soutar, Geoffrey N. & Kumar Roy, Sanjit & Roy, Rajat, 2020. "Enhancing member-institution relationships through social media: The role of other-user engagement behavior and similarity perceptions," Journal of Business Research, Elsevier, vol. 121(C), pages 642-654.
    12. Dong, Xueyan & Wang, Tienan, 2018. "Social tie formation in Chinese online social commerce: The role of IT affordances," International Journal of Information Management, Elsevier, vol. 42(C), pages 49-64.
    13. Wang, Xuequn & Lin, Xiaolin & Spencer, Marilyn K., 2019. "Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits," International Journal of Information Management, Elsevier, vol. 45(C), pages 163-175.
    14. Rabassa, Valérie & Sabri, Ouidade & Spaletta, Claire, 2022. "Conversational commerce: Do biased choices offered by voice assistants’ technology constrain its appropriation?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Ardy Wibowo & Shih-Chih Chen & Uraiporn Wiangin & Yin Ma & Athapol Ruangkanjanases, 2020. "Customer Behavior as an Outcome of Social Media Marketing: The Role of Social Media Marketing Activity and Customer Experience," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    16. Hyun, Hyowon & Thavisay, Toulany & Lee, Suk Hyung, 2022. "Enhancing the role of flow experience in social media usage and its impact on shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    17. Ahmad, Shimi Naurin & Laroche, Michel, 2017. "Analyzing electronic word of mouth: A social commerce construct," International Journal of Information Management, Elsevier, vol. 37(3), pages 202-213.
    18. Piero Mastroberardino & Giuseppe Calabrese & Flora Cortese & Miriam Petracca, 2022. "Social Commerce in the Wine Sector: An Exploratory Research Study of the Italian Market," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    19. Liu, Libo & Cheung, Christy M.K. & Lee, Matthew K.O., 2016. "An empirical investigation of information sharing behavior on social commerce sites," International Journal of Information Management, Elsevier, vol. 36(5), pages 686-699.
    20. Wang, Yichuan & Yu, Chiahui, 2017. "Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning," International Journal of Information Management, Elsevier, vol. 37(3), pages 179-189.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:masjnl:v:13:y:2022:i:2:p:169. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.