Business Reputation of Social Networks of Web Services

© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. This paper introduces a set of criteria that are used to establish the reputation of a social network from a business perspective. This network is populated with social Web services. Compared to regular Web services, social Web services establish and maintain networks of contacts, count on their (privileged) contacts when needed, etc. These criteria are membershipCost, demandLevel, satisfactionLevel, and retentionLevel, and assist a social Web service in selecting the best social network in which it will sign up. Similar criteria have been defined in the past with emphasis on the security perspective of a social network. A set of simulations conducted over an in-house built Java testbed, are also presented in the paper with focus on analyzing three aspects: profit of network, quality of network, and profit versus quality of network

CCCI metrics for the measurement of quality of e-service

The growing development in web-based trust and reputation systems in the 21st century will have powerful social and economic impact on all business entities, and will make transparent quality assessment and customer assurance realities in the distributed web-based service oriented environments. The growth in web-based trust and reputation systems will be the foundation for web intelligence in the future. Trust and Reputation systems help capture business intelligence through establishing customer relationships, learning consumer behaviour, capturing market reaction on products and services, disseminating customer feedback, buyers? opinions and end-user recommendations, and revealing dishonest services, unfair trading, biased assessment, discriminatory actions, fraudulent behaviours, and un-true advertising. The continuing development of these technologies will help in the improvement of professional business behaviour, sales, reputation of sellers, providers, products and services. In this paper, we present a new methodology known as CCCI (Correlation, Commitment, Clarity, and Influence) for trustworthiness measure that is used in the Trust and Reputation System. The methodology is based on determining the correlation between the originally committed services and the services actually delivered by a Trusted Agent in a business interaction over the service oriented networks to determine the trustworthiness of the Trusted Agent

Dynamic reputation-based trust computation in private networks

Technical Report IIIA-TR-2009-02The use of collaborative networks services in general, and web based social networks (WBSN) services in particular, is today increasing and, therefore, the protection of the resources shared by network participants is becoming a crucial need. In a collaborative network, one of the main parameters on which access control relies is represented by trust and reputation, since access to a resource may or may not be granted on the basis of the trust/reputation of the requesting node. Therefore, the calculation of the trust of the nodes becomes a very important issue, mainly in business to business (BtoB) social networks, where trustworthy nodes can increase their benefits taking profit of their good reputation in the network. In order to address this point, in this paper we propose a mechanism to dynamically compute nodes trust, based on their past behavior. The key characteristic of our proposal is that trust is computed in a private way. This is obtained by anonymizing the local log files storing information about nodes actions.Preprin

The Indivisibility of Social Media, Corporate Branding, and Reputation Management

From 1995 to 2004, the internet hosted static, one-way websites; these were places to visit passively, retrieve information from, and perhaps post comments about by electronic mail. This Web 1.0 was about getting people connected, even if its applications were largely proprietary and only displayed information their owners wished to publish. Today,Web 2.0 enables many-to-many connections in countless domains of interest and practice. People are connected and expect the internet to be user-centric. They generate content, business intelligence, reviews and opinions, products, networks of contacts, statements on the value of web pages, connectivity, and expressions of taste and emotion that search engines, not portals, fetch. They hold global conversations in forms dubbed, collectively, as social media

From Social Data Mining to Forecasting Socio-Economic Crisis

Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, distributed data mining infrastructure and research centers should be built in Europe. It also appears appropriate to build a network of Crisis Observatories. They can be imagined as laboratories devoted to the gathering and processing of enormous volumes of data on both natural systems such as the Earth and its ecosystem, as well as on human techno-socio-economic systems, so as to gain early warnings of impending events. Reality mining provides the chance to adapt more quickly and more accurately to changing situations. Further opportunities arise by individually customized services, which however should be provided in a privacy-respecting way. This requires the development of novel ICT (such as a self- organizing Web), but most likely new legal regulations and suitable institutions as well. As long as such regulations are lacking on a world-wide scale, it is in the public interest that scientists explore what can be done with the huge data available. Big data do have the potential to change or even threaten democratic societies. The same applies to sudden and large-scale failures of ICT systems. Therefore, dealing with data must be done with a large degree of responsibility and care. Self-interests of individuals, companies or institutions have limits, where the public interest is affected, and public interest is not a sufficient justification to violate human rights of individuals. Privacy is a high good, as confidentiality is, and damaging it would have serious side effects for society.Comment: 65 pages, 1 figure, Visioneer White Paper, see http://www.visioneer.ethz.c

What Drives Volunteers to Accept a Digital Platform That Supports NGO Projects?

Technology has become the driving force for both economic and social change. However, the recruitment of volunteers into the projects of non-profit-making organizations (NGO) does not usually make much use of information and communication technology (ICT). Organizations in this sector should incorporate and use digital platforms in order to attract the most well-prepared and motivated young volunteers. The main aim of this paper is to use an extended Technology Acceptance Model (TAM) to analyze the acceptance of a technological platform that provides a point of contact for non-profit-making organizations and potential volunteers. The TAM is used to find the impact that this new recruitment tool for volunteers can have on an ever-evolving industry. The TAM has been extended with the image and reputation and visual identity variables in order to measure the influence of these non-profit-making organizations on the establishment and implementation of a social network recruitment platform. The data analyzed are from a sample of potential volunteers from non-profit-making organizations in Spain. A structural equation approach using partial least squares was used to evaluate the acceptance model. The results provide an important contribution to the literature about communication in digital environments by non-profit-making organizations as well as strategies to improve their digital reputation