IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v14y2020i4d10.1007_s11628-020-00427-4.html
   My bibliography  Save this article

Determinants of social commerce adoption in an emerging economy

Author

Listed:
  • Tazizur Rahman

    (Keimyung University)

  • Yang Sok Kim

    (Keimyung University)

  • Mijin Noh

    (Keimyung University)

  • Choong Kwon Lee

    (Keimyung University)

Abstract

This study determines the influential factors responsible for social commerce adoption in an emerging economy. Our model combines constructs from social commerce constructs, social presence theory, and flow theory with the factors of trust and perceived risk management. We use structural equation modeling to analyze the data collected via an online survey of 300 participants who are members of social network sites in Bangladesh. The results indicate that social commerce constructs and social presence have significant impacts on trust and perceived risk management except for forums and communities, and the trust relationship, which influences social commerce use intention, thereby influencing social commerce use behavior. The findings also reveal that flow has a significant impact on intention to use.

Suggested Citation

  • Tazizur Rahman & Yang Sok Kim & Mijin Noh & Choong Kwon Lee, 2020. "Determinants of social commerce adoption in an emerging economy," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 479-502, December.
    • Handle: RePEc:spr:svcbiz:v:14:y:2020:i:4:d:10.1007_s11628-020-00427-4
    DOI: 10.1007/s11628-020-00427-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-020-00427-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11628-020-00427-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    2. Ben, Shenglin & Bosc, Romain & Jiao, Jinpu & Li, Wenwei & Simonelli, Felice & Zhang, Ruidong, 2017. "Digital Infrastructure: Overcoming the digital divide in China and the European Union," CEPS Papers 13194, Centre for European Policy Studies.
    3. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    4. 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.
    5. 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.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Bugshan, Hatem & Attar, Razaz Waheeb, 2020. "Social commerce information sharing and their impact on consumers," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    9. Kee-Young Kwahk & Byoungsoo Kim, 2017. "Effects of social media on consumers’ purchase decisions: evidence from Taobao," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 803-829, December.
    10. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    11. Suk Bong Choi & Jin Min Kim, 2018. "A comparative analysis of electronic service quality in the online open market and social commerce: the case of Korean young adults," Service Business, Springer;Pan-Pacific Business Association, vol. 12(2), pages 403-433, June.
    12. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    13. Jose Vila & Domingo Ribeiro-Soriano, 2014. "An overview of Web 2.0 social capital: a cross-cultural approach," Service Business, Springer;Pan-Pacific Business Association, vol. 8(3), pages 399-404, September.
    14. Nick Hajli & Xiaolin Lin, 2016. "Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information," Journal of Business Ethics, Springer, vol. 133(1), pages 111-123, January.
    15. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    16. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    17. Schamari, Julia & Schaefers, Tobias, 2015. "Leaving the Home Turf: How Brands Can Use Webcare on Consumer-generated Platforms to Increase Positive Consumer Engagement," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 20-33.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Heng-Li Yang & Ren-Xiang Lin, 2021. "The privacy victim experience of SoLoMo services: impact on trust, service quality, and privacy concerns," Service Business, Springer;Pan-Pacific Business Association, vol. 15(4), pages 725-755, December.
    4. Md. Motaher Hossain & K. M. Zahidul Islam & Abdullah Al Masud & Md. Alamgir Hossain & Nusrat Jahan, 2023. "Antecedents and Consequences of Self-Disclosure in Subjective Well-Being: A Facebook Case With a Social Support Mediator," SAGE Open, , vol. 13(2), pages 21582440231, June.
    5. Nathalie Peña-García & David van der Woude & Augusto Rodríguez-Orejuela, 2022. "Recommend or Not: Is Generation the Key? A Perspective from the SOR Paradigm for Online Stores in Colombia," Sustainability, MDPI, vol. 14(23), pages 1-16, December.

    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. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    2. Mäntymäki, Matti & Riemer, Kai, 2014. "Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel," International Journal of Information Management, Elsevier, vol. 34(2), pages 210-220.
    3. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    4. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    5. Hallem, Associate Professor Yousra & Abbes, Associate Professor Intissar & Hikkerova, Professor Lubica & Taga, Media Planner Nadia, 2021. "A trust model for collaborative redistribution platforms:A platform design issue," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    7. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & J. Sánchez-Fernández, 2018. "A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 25-64, March.
    9. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    10. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    11. Sven Laumer & Andreas Eckhardt & Natascha Trunk, 2010. "Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants," Information Systems Frontiers, Springer, vol. 12(2), pages 169-183, April.
    12. Otter, Verena & Deutsch, Maximilian, 2023. "Did policy lose sight of the wood for the trees? An UTAUT-based partial least squares estimation of farmers acceptance of innovative sustainable land use systems," Land Use Policy, Elsevier, vol. 126(C).
    13. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    14. Ingrid Gottschalk & Stefan Kirn, 2013. "Cloud Computing As a Tool for Enhancing Ecological Goals?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 299-313, October.
    15. Xu, Zeshui & Ge, Zijing & Wang, Xinxin & Skare, Marinko, 2021. "Bibliometric analysis of technology adoption literature published from 1997 to 2020," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    16. Daniel Fett & Joris Dehler-Holland & Markus Schmutz, 2021. "A survey on the user acceptance of PV battery storage systems," NachhaltigkeitsManagementForum | Sustainability Management Forum, Springer, vol. 29(2), pages 161-171, June.
    17. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. 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).
    19. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    20. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.

    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:spr:svcbiz:v:14:y:2020:i:4:d:10.1007_s11628-020-00427-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.