Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

Purpose The purpose of this paper is to investigate the effects of trust in service and structural assurance on the continuance intention of FinTech services, and the roles of technical factors (i.e. situational normality and system quality) and social factors (i.e. herding and subjective norm) in developing trust in service and structural assurance. YuEbao is selected as the subject as it is a representative example of FinTech services in China. Design/methodology/approach A survey questionnaire was deployed and a ten-point sliding scale with two-decimal points was applied to improve the accuracy of the questionnaire. Partial least squares structural equation modeling was used to analyze the data. Findings Trust in service and structural assurance can encourage continuance intention of FinTech service. System quality, situational normality and subjective norm can boost the development of trust in service. Both herding and subjective norm can affect structural assurance significantly. Research limitations/implications The study highlights the important roles played by technical factors (i.e. situational normality and system quality) and social factors (i.e. herding and subjective norm) in developing the two levels of trust (i.e. trust in service and structural assurance). It also validates the influences of trust in service and structural assurance on encouraging customers’ continuance intention in the novel context of FinTech. Practical implications The findings of this study can be used by practitioners to encourage customers to continue using their FinTech services. To encourage continuance, service providers can improve the quality of their system, design the system to be aligned with customers’ using habits and show customers that their close friends are also using the service. Originality/value This study adds to the existing body of trust literature by investigating the direct effects of trust in service and structure assurance on continuance intention and how these two levels of trust are developed from technical and social aspects. It generates interesting insights into customers’ continuance behavior of FinTech services.

Purpose Swift guanxi and trust can influence consumers’ decision making in social commerce. What factors will influence the formation of swift guanxi and trust between buyers and sellers in social commerce has not been clearly investigated. The purpose of this paper is to identify antecedents and impacts of swift guanxi and trust in social commerce. Design/methodology/approach An online questionnaire was used to collect the data, and Partial Least Squares Structural Equation Modeling was employed for data analysis. Social support and presence are introduced as the antecedents for swift guanxi and trust, leading to the repurchase intention (RI) and social sharing intention of customers. Findings The results indicate that social support and presence can influence swift guanxi and trust. Social support and presence are positively associated with swift guanxi and trust which further lead to RI and social sharing intention. Practical implications The findings can be used to guide sellers in social commerce platforms to improve their services and make good use of platform features to improve customers’ perception of presence. To attract new customers and retain old customers, sellers should also build swift guanxi and trust through the recommendation and experience sharing of previous buyers on social media. Originality/value This study combines social support theory and presence theory to investigate the factors that influence customers’ purchase decision and social sharing intention in the context of social commerce in China. The integration of social support theory and presence theory explains both the social and technical factors that influence swift guanxi and trust in social commerce.

The purpose of this study is to empirically examine the adoption of e-supply chain integration by electrical and electronic industry suppliers. This study has integrated both the transaction cost and resource dependence models in understanding the influence of buyer-seller relationships on e-supply chain integration. Hypotheses were developed based on the proposed model. Data were collected from 122 electrical and electronic suppliers located in Malaysia. The data was examined using multiple regression analysis. The results showed that Asset Specificity, Product Technological Uncertainty, Transaction frequency, Proportion of sales to e-supply chain integration promoter, and number of customers are able to explain suppliers' decisions to adopt e-supply chain integrations with their buyers. Buyers that would like to improve the adoptions of e-supply chain integration will be able to formulate and plan strategies from the buyer-seller relationships perspectives.

PurposeInterpersonal interaction can influence consumers’ purchase intention in social commerce (s-commerce). This paper aims to identify interpersonal interaction factors as well as the mediating effect of relationship quality between interpersonal interaction factors and consumers’ purchase intention in s-commerce.Design/methodology/approachThis study explores new dimensions of interpersonal interaction in s-commerce by integrating interaction between consumers and online vendors and that between consumers and online recommenders in s-commerce. An online questionnaire was used to collect the data, and partial least squares structural equation modeling (PLS-SEM) was employed for data analysis.FindingsThe results indicate that interpersonal interaction factors of both online vendors and online recommenders positively affect swift guanxi and initial trust between consumers and online vendors. Swift guanxi and initial trust positively affect consumers’ purchase intention. Initial trust partially mediates between interpersonal interaction factors and purchase intention while swift guanxi does not mediate between perceived similarity of online recommenders and purchase intention.Practical implicationsThe findings can be used to guide vendors in s-commerce platforms to make good use of platform features to improve interpersonal interaction. Meanwhile, s-commerce platforms should be enhanced with efficient interaction tools to help cultivate relationship quality between consumers and online vendors.Originality/valueThis study combines social exchange theory, trust transfer theory and relationship quality theory to investigate the factors that influence swift guanxi and initial trust between consumers and online vendors, which extends the study of interpersonal interaction and enriches the dimensions of relationship quality in the context of s-commerce.