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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Briliant: Jurnal Riset dan Konseptual JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Informatika Universitas Pamulang Journal of Information System, Applied, Management, Accounting and Research Technologia: Jurnal Ilmiah Jurnal Pendidikan dan Konseling Prosiding National Conference for Community Service Project JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Scientia Jurnal Teknologi Informasi dan Komunikasi Jurnal Widya
Eryc Eryc
Universitas International batam
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Journal : Jurnal Informatika Universitas Pamulang

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Analisa Faktor yang Mempengaruhi Kepercayaan Perdagangan Sosial dan Prilaku Pembelian dalam E-Commerce Eryc Eryc
Jurnal Informatika Universitas Pamulang Vol 8, No 1 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i1.29225

Abstract

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.
Co-Authors Cindy Dandhytya Andrea Puspa Dean Mervyn Didi Santoso Didi Santoso Elving Whang