Research perspective

Research method

Research result


Social capital

Empirical analysis

Social capital has a significant positive effect on users’ willingness to participate in social commerce.

Horng & Wu (2020)

Social capital,

Social interaction

Empirical analysis

Social capital and social interaction will promote the information sharing of users, thus promoting the purchase intention.

Ghahtarani et al. (2019)

Social support,

Community factor

Empirical analysis

Social support, community recognition and community trust will affect user stickiness and user’s intention to purchase, create value and release positive word of mouth.

Molinillo et al. (2019)


Empirical analysis

Both person-to-person interaction and human-computer interaction have a significant impact on trust, which in turn affects users’ purchase intention and sharing intention.

Fang & Zhou (2017)

Internal and external revenue factors, Cost factors

Empirical analysis

External reward, image enhancement, reciprocal relationship, helpfulness, criticism, fear and time cost all affect users’ willingness to share information. Among them, different dimensions of the big five personalities have different adjustment effects on different external benefit and cost factors.

Liu et al. (2017)

Technology acceptance model, Immersion theory

Empirical analysis

Social trust, perceived ease of use, hedonic motivation and external rewards significantly positively affect user-generated content behavior.

Meng & Jiang (2015)

Privacy trade-offs,

Social interaction

Empirical analysis

Privacy protection (privacy policy, privacy settings) and social interactions (including information interactions, emotional interactions) significantly affect privacy risks and social returns, and then determine the user’s social business willingness (including sharing and purchase).

Zhou et al. (2019)