Comprehensive Study Notes: Consumers’ Decision-Making Process on Social Commerce Platforms

Study Overview and Research Foundations

• Research Context and Scope: This mini-review, published on $15\,May\,2020$, examines the cognitive and psychological determinants of consumer behavior within social commerce platforms. It specifically investigates the intersection of online trust, perceived risk, and purchase intentions.

• Core Objectives: The primary aim of the article is to explore:

  • Consumers’ purchase decision-making processes.

  • Determinants of social commerce purchase intentions and attitudes.

  • The effect of perceived risk on the intention to shop in online settings.

  • Consumer trust and buying behavior within online retailing platforms.

• Addressing the Research Gap: The study fills a gap in existing literature that overlooks how perceptual attitudes, behavioral intentions, and immediate gratifications interact to influence the purchase of products and services online. It focuses on the relationship between adoption behavior, trust, and risk factors through the lens of source credibility.

• Methodological Framework: The paper utilizes exclusively empirical sources published between $2017$ and $2019$ from journals indexed in Web of Science and Scopus. It treats the decision-making process as a dynamic performance shaped by social experience and information accuracy.

Trust-Building Dynamics in Social Commerce

• Pivotal Grounds for Retail: Guo et al. ($2018$) identify trust and perceived risk as the foundational elements for the success of retailing participants in social commerce.

• Social and Utilitarian Drivers:

  • Hall et al. ($2017$): Argue that social media integrates consistent consumer views into the decision-making process.

  • Abed ($2018$): States that social influence and trust are critical components altering behavioral intentions.

  • Jeon et al. ($2017$): Highlight that utilitarian value and online trust strengthen the link between perceived website interactivity and repurchase intention.

• Decision-Making Antecedents: Hansen et al. ($2018$) posit that perceived risk and trust are the decisive antecedents of end-user decisions, with risk-taking propensity directly influencing behavioral intention.

• Relationship and Loyalty Factors:

  • Moody et al. ($2017$): Emphasize that trust and lack of confidence dictate online relationships involving electronic dealings.

  • Ozturk et al. ($2017$): Connect trust and perceived risk directly to consumer loyalty.

  • Fu et al. ($2018$): Contend that internal and external similarity shape usefulness, satisfaction, and trust transfer.

Detailed Dimensions and Qualities of Online Trust

• Key Dimensions of Trust (Oliveira et al., $2017$): Retailers must understand three specific perceptions to maximize end-user trust:

  • Perceived Integrity: The belief that the retailer is morally correct, authentic, acts in good faith, and adheres to responsibilities without overcharging.

  • Perceived Competence: The belief that the retailer is an expert in trade processes and capable of managing sales transactions.

  • Perceived Kindness: The belief that the retailer acts in the consumer's best interest and provides exemplary assistance if required.

• Components of Confidence (Kim and Peterson, $2017$): Trust is consolidated through five major components: ability, honesty, kindness, dependability, and predictability.

• Experiential Factors (Molinillo et al., $2017$): Satisfaction is driven by both affective and cognitive shopping practices. Affective practices specifically have a favorable impact on trust.

• Adoption and Usage Phases:

  • Mou et al. ($2017$): Perceived usefulness and trust are relevant during both the preliminary and subsequent phases of online service adoption.

  • Wongkitrungrueng and Assarut ($2018$): Utilitarian and hedonic values shape engagement indirectly through trust in products and retailers.

Psychosocial and Content-Driven Trust Factors

• Website Design and Security: Cui et al. ($2018$) suggest that high perceived security reinforces website image and trust, particularly for creative end users. Aesthetic appeal, personalization, and functionality are also essential ($Wu\,W.Y.\,et\,al.,\,2017$).

• Content Authenticity: Choi and Lee ($2017$) demonstrate that user-generated content (UGC) impacts cognitive trust more than marketer-generated content. Furthermore, product reviews in closed social networks have more significant weight on trust than those in open social networks.

• Attachment and Embeddedness: Lien et al. ($2017$) find that anxious attachment toward retailers is adversely related to trust, while relational embeddedness has a positive impact.

• Branding and Engagement: Liu et al. ($2018$) note that end-user-to-end-user trust and end-user-to-marketer trust determine engagement, which subsequently influences brand trust.

• Trust Mediation: López-Miguens and Vázquez ($2017$) explain that trust generates loyalty, often with contentment acting as a mediator.

Psychological and Social Determinants of Purchase Intention

• Adoption Drivers:

  • Mou et al. ($2017$): End-user trust beliefs are the primary drivers of e-service adoption.

  • Rahman et al. ($2018$): Utilitarian values influence attitudes toward online shopping more than hedonic values or privacy concerns.

  • Yang et al. ($2017$): Mobility, supplier trust, and security risks drive social commerce adoption.

• Consumer Orientation and Empowerment:

  • Zhang et al. ($2018$): Empowerment increases perceived trust and buying intention.

  • Xu-Priour et al. ($2017$): Polychronic orientation in consumers is positively associated with trust, teamwork, and browsing practices.

• Information and System Quality: Mou and Cohen ($2017$) state that trust in a website dictates the perception of information and system quality, which are relevant for continued usage intentions.

• Cross-Cultural and Social Factors: Qin ($2017$) notes that culture impacts consumer values, which then influences trust dimensions like expertise and integrity. Liu and Guo ($2017$) argue that while universal access doesn't shape trust directly, reputation does.

The Impact of Risk Perception on Consumer Decisions

• Risk Types and Their Effects:

  • Financial Risk: Bashir et al. ($2018$) observe that perceived financial risk determines online trust in retailers. Online trust operates as a mediator between perceived financial risk and purchase intention.

  • Privacy and Information Risk: Martin ($2018$) highlights that privacy breaches significantly reduce trust, making it difficult for retailers to rebuild confidence. Information misuse is a primary online risk.

  • Social/Psychological and Product Risk: Han and Kim ($2017$) find these risks are adversely related to trust and purchase intention, whereas financial risk sometimes correlates positively with trust based on levels of product involvement.

• Mitigation Strategies: Improving trust is essential for preventing or decreasing perceived purchasing risk. Choi et al. ($2018$) argue that handling risk is necessary for business success in shopping destinations as it shapes the selection of future shopping locations.

• Peer Influence and Social Presence: Hajli et al. ($2017b$) emphasize the function of peer-generated content; trust reinforces information seeking, which boosts awareness and the perception of social presence on a platform.

Factors Affecting Repurchase Intentions and Loyalty

• Main Drivers of Repurchase: Perceived value and online trust are identified as the primary drivers of repurchase intention (Sullivan and Kim, $2018$).

• Reputation and Price: Perceived quality is determined by website reputation and competitive pricing. Website reputation, alongside perceived risk, directly shapes the online trust required for repurchase.

• Institutional Mechanisms: Chong et al. ($2018$) state that consumers' perceived effectiveness of institutional mechanisms (such as legal protections) moderates the relationship between trust and repurchase intentions.

• Structural Assurance: Malhotra et al. ($2017$) propose that structural assurance acts as a trust-building mechanism to mitigate the negative effects of psychological contract violations.

Adoption of Technology and Future Research Directions

• Website Experience: Outstanding website quality is essential for consumer contentment, which regulates trust, commitment, and purchase intention (Hsu et al., $2018$).

• Live Streaming and Symbolic Value: These factors impact consumer engagement and trust in Internet retailers (Wongkitrungrueng and Assarut, $2018$).

• Future Research Avenues: The authors suggest subsequent studies should focus on:

  • Psychological determinants of consumer engagement in social media.

  • Decision mechanisms regarding price evaluation.

  • The specific types of perceived risk incurred in different social commerce contexts.

  • How the adoption of mobile payment services shapes impulsive buying behavior under the influence of online reviews.