| From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention | [26] | Data used in testing the model was collected from Tao-bao VC | Familiarity, perceived similarity, structural assurance, and trust propensity | -Important antecedents to trust between VCs members are: familiarity, perceived similarity, structural assurance, and trust propensity. -Trust in members ability highly affects ability,integrity, and benevolence in the vendor/website. -Trusting the members intigerity and enevolence stimulates purchase intention while, trust in vendor/website’s ability positively affects information regaining intention and purchase intention |
| An empirical examination of factors influencing the intention to use mobile payment | [27] | NA | Ease of use and usefulness. | Strong predictors of the intention to use mobile-payment are: perceived ease of use and usefulness. |
| The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. | [28] | Using the internet search a 340 questionnaires were collected online | Factors that affect trust, satisfication, and loyalty | They conclude that navigation functionality and perceived security positively affects trust while transaction cost had no effect on it. Moreover, it is also been obvious from the analysis that satisfication had a positive impact on trust and trust in turn, affect customer loyalty in online shopping of tourism products and services. |
| Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance | [29] | Data was collected by 371 s-commerce users | Factors that affects Korean consumers trust in (s-commerece), mainly: reputation, size, information quality, transaction safety, communication, economic feasibility, and word-of-mouth (WOM) referrals | -Factors except economic feseability are highly affect trust. -Trust had big influence on purchase and WOM intentions |
| Survey of Customers’ Conceptions of Security and Trust in E-Payment System | [30] | Data was collected from a sample of 219 consumers in Iran | Security and trust in e-pyment system | A conceptual model that examines the consumer observation and impresstion about security and trust in e-pyment system |