Community-based Trust Research Articles

Effects of Interactivity on Consumer Behavioral Intention in Mobile Social Commerce in China

The authors study the effects of perceived interactivity on consumer behavioral intention according to the characteristics of consumer behavior in mobile social commerce. Results indicate that the intensity of information interaction has significant and positive effects on the depth, breadth, and novelty of consumer recommendations and reviews. The intensity of interpersonal interaction has significant and positive effects on community-based trust and response intensity. Information interaction has significant and positive effects on interpersonal interaction and suggestion adoption. Findings also reveal the relationship between interactivity and consumer behavioral intention in mobile social commerce. The conclusions provide theoretical support for studying how these constructs interact with each other.

A novel community-based trust aware recommender systems for big data cloud service networks

Internet of Things (IoT) has enhanced the appearance of the information and communications technology (ICT) infrastructure of smart sustainable cities that emerge as a growth of the urban development. The potential growth of environment sustainabilities is coming into the existence of the insightful visions of ICT that include big data analytics as a computing prototype. It may draw a penetrative path to mitigate the environmental effects that utilize the natural resource to manage the intelligent infrastructure and services. Moreover, the sustainable development process plays a crucial role to catalyze IoT and big-data application that connects the economic growth with the quality of smart cities. The IoT-enabled big-data applications choose a suitable thematic analysis to direct the use of recommendation systems. It supports users in the irresistible task of examination through large quantities of data in order to select appropriate information or items. Traditional recommender systems rely on similar neighbors irrespective of their preferences/choices when computing the prediction and assuming the users to be autonomous and indistinguishable to disregard the social events between the social users which are highly not reliable. Based on this intuition in this framework, the architecture of community-based trust aware recommender systems (CB-TARS) is proposed. Users’ preferences are expressed by incorporating trusted neighbors within the community of the target user are merged in order to find similar preferences. In addition, the worth of merged ratings is measured by the confidence considering the number of ratings inside the community and the percentage of clashes between negative and positive views. Further, rating confidence is incorporated into the computation of user similarity. The prediction for an unrated item is computed by aggregating the ratings of similar users within the community. Experimental results on real-world data set validate that the proposed method surpasses other complements in terms of accuracy.

Sustainable Solutions for Green Financing and Investment in Renewable Energy Projects

The lack of long-term financing, the low rate of return, the existence of various risks, and the lack of capacity of market players are major challenges for the development of green energy projects. This paper aimed to highlight the challenges of green financing and investment in renewable energy projects and to provide practical solutions for filling the green financing gap. Practical solutions include increasing the role of public financial institutions and non-banking financial institutions (pension funds and insurance companies) in long-term green investments, utilizing the spillover tax to increase the rate of return of green projects, developing green credit guarantee schemes to reduce the credit risk, establishing community-based trust funds, and addressing green investment risks via financial and policy de-risking. The paper also provides a practical example of the implementation of the proposed tools.

A framework for anonymous but accountable self-organizing communities

In this paper we propose a novel architecture and approach to provide accountability for Web communities that require a high-level of privacy. A two-layered privacy protection architecture is proposed, that supports (i) registration of participants and enforcement of community rules, called internal accountability, and (ii) rule-based interaction with real world organizations, called external accountability. Our security protocols build upon community-based trust and limit the exposure of private data on trusted third parties. The two-layered architecture protects the mappings between real users and their virtual identities, and among the virtual users, while guaranteeing internal and external accountability. We target Web communities that are dynamic and self-organizing, i.e. roles and contributions of participants may change over time. The proposed concepts and protocols are implemented in our SyllabNet project that supports anonymous course evaluations by university students.

Social Capital and Capital Gains in Silicon Valley

Silicon Valley is built on social capital, but it is social capital of a fundamentally different type from the concept of deep civic that has come to dominate development theory and to influence policy. Social capital in Silicon Valley is best understood as performance-based trust. It emerges among economic and institutional actors in the pursuit of objectives related specifically to innovation and commercialization. In Silicon Valley, the sequence runs from performance to trust, not from community to trust as the civic engagement theorists would have it. Silicon Valley is an open society—open to ideas, to institutions, and especially to people. Community-based trust implies a closed society. The openness of Silicon Valley to foreigners is one of the region's most valuable assets; it has also been the best social capital investment for the home countries.

Making total quality a clinical priority.

Outlines the introduction of total quality systems into all clinical services within a community-based NHS Trust in the West Midlands. Provides practical details of each aspect of the quality-planning process. Shows the commitment of clinicians to "managing quality improvement".