Content area
Purpose
Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.
Design/methodology/approach
Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.
Findings
Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.
Originality/value
This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.
Details
Security;
Social networks;
Data mining;
Panel data;
Mass media;
Community;
Virtual communities;
Shopping;
Privacy;
Ethics;
Information sharing;
Target markets;
Tourism;
Electronic commerce;
Consumers;
Social support;
Marketing;
Convergent validity;
Purchasing;
Product reviews;
Predictive validity;
Social media;
Reliability;
Trustworthiness;
Decisions;
Digital media;
Research;
Trade;
Information dissemination;
Social systems;
Structural equation modeling;
Research methodology;
Trust
; Nadeem, Waqar 2
; Hajli, M Sam 3 ; Featherman, Mauricio 4
; Hajli, Nick 5
1 Department of Information Management, National Central University, Taoyuan, Taiwan
2 Department of Marketing, International Business, and Strategy (MIBS), Goodman School of Business, Brock University, Saint Catharines, Canada
3 Allameh Tabataba'i University, Tehran, Iran
4 Department of Management, IS, and Entrep, Washington State University, Pullman, Washington, USA
5 Department of Business, Swansea University, Swansea, UK
