Nowadays, chatbots is one of the fast rising artificial intelligence (AI) trend relates to the utilisation of applications that interact with users in a conversational format and mimic human conversation. Chatbots allow business to enhance customer experiences and fulfil expectations through real-time interactions in e-commerce environment. Therefore, factors influence consumer’s trust in chatbots is critical. This study demonstrates a chatbots trust model to empirically investigate consumer’s perception by questionnaire from self-reported approach and by electroencephalography (EEG) from neuroscience approach. This study starts from integrating three key elements of chatbots, in terms of machine communication quality aspect, human-computer interaction (HCI) aspect, and human use and gratification (U&G) aspects. Moreover, this study chooses EEG instrument to explore the relationship between trust and purchase intention in chatbots condition. We collect 204 questionnaires and invite 30 respondents to participate the survey. The results indicated that credibility, competence, anthropomorphism, social presence, and informativness have influence on consumer’s trust in chatbots, in turn, have effect on purchase intention. Moreover, the findings show that the dorsolateral prefrontal cortex and the superior temporal gyrus are significantly associated with building a trust relationship by inferring chatbots to influence subsequent behaviour.

This study aims to investigate users’ knowledge-sharing intention and collective stickiness intention towards social network sites (SNS). SNS offer an opportunity for users to interact and form relationships, while knowledge is accrued by integrating users’ information, experience, and practice. However, there have been few systematic studies that question why people use SNS to share knowledge. We adopt social capital theory, social identity theory, as well as use and gratification theory, to explore the determinants of members’ knowledge-sharing intention in using SNS. The survey was conducted on two education virtual communities (VCs) on Facebook, of which most members were teachers and educators. Data analysis was executed to validate our research model, and SmartPLS was used to analyse users’ collective stickiness intention. The results show that social capital and social identity have an impact on teachers’ knowledge-sharing intention, which, in turn, influences collective stickiness intention towards SNS. Our findings can not only help researchers interpret why members share their knowledge in VCs, but can assist practitioners in developing better SNS strategies as well.

Group buying is emerging as a new online buying model, in which an initiator takes the initiative and other users participate through a virtual community. A group of people who have the same need buy products online together, taking advantage of numbers to get bargains. Website stickiness, the website's ability to retain online customers and prolong the duration of each stay, is one of the key factors to e-commerce success. How to maintain members' stickiness becomes a critical issue in Information Systems (IS) study. Therefore, we aim to explore members' stickiness intention by linking justice theory and trust. The research model is based on Social cognition theory (SCT) and trust related literature. This study posits trust in marketplace, trust in initiator, and conformity as environmental influences, while collective efficacy is viewed as personal influences. We validate that member perceived distributive justice, procedure justice, and interactional justice have impact on their trust in marketplace and trust in initiator. Besides, member's perceived trust, conformity, and collective efficacy have influence on their stickiness intention.

Although previous research has established that interpersonal trust and system trust are critical in shaping individual behaviour in virtual settings, the two perspectives have not been examined by IS researchers in virtual communities (VCs) simultaneously. Drawing from prior literature on trust and VCs, a research model for understanding the importance of trust in members and trust in system and their antecedents in VCs is presented. Six trust-building factors were identified using three trust-building bases (calculative base, relationship base and technology base). Data were collected from 324 members of a technical VC to test the model. The study shows that trust in members and trust in system have significant influences on knowledge sharing intention. The study also indicates that knowledge growth, perceived responsiveness and shared vision affect trust in members positively, while knowledge quality influences trust in system significantly. The study discusses the theoretical and managerial implications of this study and proposes several future research directions.