Trust-Building Mechanisms and Knowledge Sharing in Virtual Communities

Although trust has received much intention in the virtual communities (VCs) literature, few studies have been conducted to examine how trust develops in VCs. Drawing from prior literature on trust and knowledge sharing, a research model for understanding the antecedents of trust and the role of trust in VCs is presented. Data was collected from 324 members of a technical virtual community to test the model. The results help in identifying how the factors fall into three trust-building mechanisms build trust in the context VCs. The study discusses the theoretical and managerial implications of this study and proposes several future research directions

UNDERSTANDING COLLABORATIVE STICKINESS INTENTION IN SOCIAL NETWORK SITES FROM THE PERSPECTIVE OF KNOWLEDGE SHARING

This study aims to investigate users’ knowledge sharing intention and collaborative stickiness intention towards social network sites (SNS). SNS offer an opportunity for users to interact and form relationships, while knowledge is accrued by integrating user’s information, experience, and practice. However, there have been few systematic studies that ask 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 SNS. The survey was conducted on two education VCs of facebook, while most members were teachers and educators. Data analysis was carried out to validate our research model, and SmartPLS were used to analyze users’ collaborative stickiness intention. The result shows that social capital and social identity have impact on teacher’s knowledge sharing intention, in turn, influence on collaborative stickiness intention toward on SNS. Our findings not only help researchers interpret why members sharing their knowledge in VC, but also assist practitioners in developing better SNS strategy

UNDERSTANDING COLLABORATIVE STICKINESS INTENTION IN SOCIAL NETWORK SITES FROM THE PERSPECTIVE OF KNOWLEDGE SHARING

Abstract This study aims to investigate users' knowledge sharing intention and collaborative stickiness intention towards social network sites (SN

Does Age Matter? Using Neuroscience Approaches to Understand Consumers’ Behavior towards Purchasing the Sustainable Product Online

In recent years, online shopping platforms have displayed more sustainable products to attract consumer attention. Understanding the effect of age on online shopping patterns can provide a broader understanding of the critical role of consumer attention. Physiological measures can explain consumers’ responses to features of online shopping websites and help these companies understand the decision-making process of consumers by using neuroscience-integrated tools. When consumers browse and shop on a platform, their eyes constantly move, effectively scanning the area of interest to capture information. This study attempts to evaluate the impact of consumer age on psychological and physiological responses to online shopping platforms by using eye tracking, EEG recordings, and FaceReader software. Eye tracker data on the average duration and number of fixations and saccades indicated that the older group had fewer eye movements than the younger group. The temporal and frontal cortices of the younger and older groups showed differences in EEG activity. The research also analyzed the faces of younger and older adults using FaceReader software; the main differences occured in the happy, surprised, and neutral expressions observed. This study enhances our understanding of the psychology and behavior of younger and older people in neuromarketing research, combining noninvasive physiological and neuroscience methods to present psychological data

Exploring the online bidder’s repurchase intention: a cost and benefit perspective

[[abstract]]The success of online auctions is founded on bidders enjoying shopping benefits and on creating bidders’ loyalty. This study investigates the importance of bidders’ repurchase intention along with the corresponding cost and benefit aspects. Therefore, this study integrates transaction cost economics and expectancy confirmation theory to understand the determinants of bidders’ repurchase intention in online auctions. We collected data from a survey questionnaire, and a total of 594 valid questionnaires were analyzed. Partial least squares structural equation modeling was used to assess the relationships of the research model. The findings show that satisfaction has a significant influence on bidders’ repurchase intention, while transaction cost is negatively associated with repurchase intention. Bidders’ satisfaction is determined by confirmation and by the e-service quality of both auctioneers and sellers. Moreover, an auctioneer’s asset specificity and product uncertainty are positively associated with the bidder’s perceived transaction cost. The interaction frequency between bidder and seller is negatively associated with the bidder’s transaction costs. The research results provide a novel approach to understanding bidders’ benefit and cost dimensions in online auction marketplaces. Our findings could guide online auctioneers and sellers in enhancing their offerings