Analisa Faktor yang Mempengaruhi Kepercayaan Perdagangan Sosial dan Prilaku Pembelian dalam E-Commerce
DOI:
https://doi.org/10.32493/informatika.v8i1.29225Keywords:
e-commerce, social commerce trust, buying behaviorAbstract
To increase sales, e-vendors are interested in integrating social commerce features into the traditional e-commerce sites that consumers are increasingly using to make their purchasing decisions. Although the value of trust has been widely recognized in the literature, previous studies have concentrated mainly on trust in online shopping sites. It has not taken into account the multifaceted character to analyze customer behavior. This study intends to build a social commerce trust-based consumer decision making framework to gain additional insights into consumer decision making. Building social commerce trust in a multidimensional view, including trust in social media, trust in e-commerce sites, trust in social trading features, trust in customers, and buying behavior based on socio-technical theory. The data was collected from a consumer survey conducted online among social media and e-commerce users in Indonesia. The method of analyzing the collected data uses SmartPLS, namely statistics that allows the study of structural equations through modeling the path of partial least squares for testing. The aim of this research is to firmly establish the relational understanding of social trading trust and highlight its significance by examining how it influences e-commerce outcomes. This study advances theory by defining social trading beliefs and practitioners can learn more about buying behavior and applying social trading to win customers and increase sales. In addition, when developing social commerce, trust, trust in consumers, and trust in social trading features have stronger effects than trust in e-commerce websites and social media.
References
Bhatti, A., & Akram, H. (2020). The moderating role of subjective norms between online shopping behaviour and its determinants. International Journal of social Sciences and Economic Review, 1-09. https://doi.org/10.36923/ijsser.v2i2.5
Bianchi, C., & Andrews, L. (2018). Risk, trust, and consumer online purchasing behaviour: a Chilean perspective. International Marketing Review, 29(3), 253 – 275.
Chan, B., Purwanto, E., & Hendratono, T. (2020). Social media marketing , perceived service quality , consumer trust and online purchase intentions. Social Media Marketing, Perceived Service Quality, Consumer Trust and Online Purchase Intentions, 62(10), 6265–6272
Chen, L., & Wang, R. (2016). Trust development and transfer from electronic commerce to social commerce: An empirical investigation. American Journal of Industrial and Business Management, 06(05), 568- 576. https://doi.org/10.4236/ajibm.2016.65053
Chevalier. S. (2022, February 4). Global retail e-Commerce market size 2014-2023. Statista. https://www.statista.com/statistics/379046/worldwideretail-e-commerce-sales
Eryc, E. (2022). The Impact of Educational Content Toward Audience Perceptions on Instagram (Case Study @naturelovingeduhub). Jurnal Scientia, 11(02), 133–139.
Eryc, E., & Cindy, C. (2023). Adoption Of Eco-Innovation And Digitalization Influence On The Business Performance Of Umkm In Batam City. JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI, 14(1), 67–77.
Eryc, E., & Dandhytya Andrea, P. (2022). Analisis Keefektifan Instagram Sebagai Platform E-Commerce Pada Mahasiswa di Kota Batam. Briliant: Jurnal Riset Dan Konseptual, 7(4), 1012–1023. https://doi.org/http://dx.doi.org/10.28926/briliant.v7i4.1191
Forsgren, N., Durcikova, A., Clay, P. F., & Wang, X. (2016). The integrated user satisfaction model: Assessing information quality and system quality as second-order constructs in system administration. Communications of the Association for Information Systems, 38, 803-839. https://doi.org/10.17705/1cais.0383
GWI. (n.d.). Commerce trends for 2022. GWI - Audience Insight Tools, Digital Analytics & Consumer Trends. https://www.globalwebindex.com/reports/commerce
Hajli, N. (2019). The impact of positive valence and negative valence on social commerce purchase intention. Information Technology & People, 33(2), 774-791. https://doi.org/10.1108/itp-02-2018-0099
Huayong, D., et al. (2016). Examining the Role of Inhibitors in
Customer Intention to Continue Using Mobile Services: An IS Success Theory Perspective. Recent Patents on Computer Science, 9(3).
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
Information, M., & Chin, W. W. (2013). Commentary Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), vii-xvi CR-Copyright © 1998 Management Inf. http://www.jstor.org/stable/249674
Kim, Taman., Apiradee Wongkitrungruenga., Nuttapol Assarut. (2020). The Role Of Live Streaming In Building Consumer Trust And Engagement With Social Commerce Sellers. Journal of Business Research, 2 (4), 546-556. Kotler, P., & Kevin, K. L. (2011). Manajemen Pemasaran. Jakarta: Erlangga.
Kotler, Philip dan Armstrong, G. (2012). Principles of Marketing. New Jersey: Prentice Hall.
Laudon, K. C., & Laudon, J. (2013). Management Information Systems: Managing the Digital Firm (12th ed.). Pearson. Delhi.
Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727x.2015.1005806
Liang, T. P., Ho, Y. T., Li, Y. W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69–90. https://doi.org/10.2753/JEC1086-4415160204
Tan, H. S. (2020, June 1). Overview of Indonesia’s online consumer behaviour in Q4. Janio. https://janio.asia/id/sea/indonesia/indonesia-q4-consumeroverview/
Tandon, A., Aakash, A., and Aggarwal, A. G. (2020). Impact of EWOM, website quality, and product satisfaction on customer satisfaction and repurchase intention: moderating role of shipping and handling. Int. J. Syst. Assur. Eng. Manage. 54, 1–8. doi: 10.1007/s13198-020-00954-3
Muhamad, S. (2019). Analisis Kepuasan Pengguna Bukalapak dengan Metode Customer Satisfaction Index dan Importance Perfomance Analysis. Universitas Airlangga
Molla, A., Licker, P. S. P., Lickler, P. S., Licker, P. S. P., Molla, A., &
Lickler, P. S. (2001). E-commerce systems success: An attempt to extend and respecify the Delone and Maclean model of IS success. Journal of Electronic Commerce Research, 2(4), 131–141. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.6900&rep=rep1&type=pdf
Purwianti, L., & Dila, W. N. (2021). Analisis Faktor-Faktor yang Mempengaruhi Purchase Intention pada Pembelian Produk Fashion melalui Social Commerce terhadap masyarakat Kota Batam. Conference on Management, Business, Innovation, Education and Social Science, 1(1), 2010–2028.
Wang, X., French, B. F., & Clay, P. F. (2015). Convergent and discriminant validity with formative measurement: A mediator perspective. Journal of Modern Applied Statistical Methods, 14(1), 83–106. https://doi.org/10.22237/jmasm/1430453400
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Jurnal Informatika Universitas Pamulang have CC-BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.
In developing strategy and setting priorities, Jurnal Informatika Universitas Pamulang recognize that free access is better than priced access, libre access is better than free access, and libre under CC-BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.
Jurnal Informatika Universitas Pamulang is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
YOU ARE FREE TO:
- Share : copy and redistribute the material in any medium or format
- Adapt : remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms
