Search results

As the number of available services increases on the web, it becomes greatly vital in service-oriented computing to discover a trustworthy service for a service composition so as to best-fit business requirements. However, some dishonest service providers may advertise more than what they can offer and cause a great loss to users. In the last few years, trust and reputation management over web service selection mechanism becomes an emerging way of dealing with security deficiencies which are inherent in web services environment. The purpose of this paper is to review the security threats carefully and expect that the results serve as a reference guide for designing the robust trust and reputation management mechanisms.

Based on the published literature, the paper reviews and categorizes the most critical and important security threats that apply to trust and reputation models.

A detailed review and a dedicated taxonomy table are derived. As emphasized earlier, they could serve as the most important guideline for design of trust and reputation mechanisms.

The papers work contributes to: first, understand in details what kind of security threats may cause damage to trust and reputation management mechanisms for web services selection; and second, categorize these complex security threats and then assist in planning the defense mechanisms.

In e-commerce, consumers have begun to rely on the opinions of fellow consumers who posted through online consumer reviews to a reputation management system. An ethical concern has arisen in the use and abuse of these new systems. We examine the underlying ethical issues that entrepreneurs are confronting in this time of surging e-commerce. Using 32 vignettes, one for each cross-section of our research construct framework, followed by two Likert scales for respondents to indicate their agreement with the action described from both the perspective of ethicality and professional acceptability, we received responses for 1,252 vignettes, which generated a dataset of 2,504 data points. The results of our pilot study suggest that the ethical considerations for business professionals conducting business online are more nuanced and complex than conventional wisdom on the subject might suggest. While 60 research subjects are small, the use of paired vignettes in our survey allowed us to measure at least 1,000 paired responses for each research construct. The results have the potential of revealing how young professionals have been conditioned by the prevalence of web-based interactions and the anonymity they afford participants, as well as the degree to which they rationalize the misrepresentation of information by business professionals for the purpose of manipulating consumers’ purchasing decisions in order to drive sales. If consumers’ trust in reputation management systems erodes, the result could be a collapse of the entire system as a meaningful source of information. We also demonstrate the tolerance of what is deemed ethical versus professionally acceptable with online business practices.

The research work provides a comprehensive bibliometric analysis on blockchain in general and with respect to trust and reputation management in particular. The research work also incorporates the research progress in Pakistan in the field of blockchain.

The research study is conducted in three phases in which 9 different research questions are assessed for the time duration of 2012–2020 on a total of 9,314 published studies. The source of the research study is from one of the most prestigious databases, the Web of Science (WoS). The scholarly publication includes analysis on WoS categories, annual publication trends, types of documents, research areas, and collaboration network amongst countries, co-word analysis, top 10 countries and top 10 organizations with respect to research publications. The authors use VOSviewer tool to generate collaboration network of countries and co-occurrence network for co-word analysis. The connecting thread among the research question is the overarching research objective of exploring and understanding research out in blockchain. The authors have conducted the research in three phases. Phase 1 is planned to show various quantitative analysis of blockchain worldwide with respect to all 9 questions. In Phase II, prime importance is being given to the trust and reputation management aspect of blockchain. Phase III is concerned with the findings of 9 research questions with Pakistan as the ultimate focus.

Major findings include that China and the USA are the leading countries as they have contributed the most in research field of blockchain. Computer science emerged as the leading research area. The first research article dates back to 2013 with significant rise in publication trend over the last 4 years from 2017–2020. Trust management emerged as one of the key fields where blockchain plays a pivotal role. Pakistan occupies a position in top 20 countries with respect to research contribution. However, in order to rank amongst top 10 research countries, Pakistan needs rapid technological advancement. The immense rise in research publication trend in Pakistan from the year 2019–2020 as compared to prior 2019 era indicates that due focus is being given in the field of blockchain in Pakistan since the last two years.

The authors have considered WoS data source. Therefore, the study is limited to those published scholarly studies which are present in WoS database. More detailed assessment can be performed by analyzing other data resources. The authors have performed analysis based on 9 research questions. However, other parameters can also be included to perform more enhanced and detailed analysis. All types of documents are included in our research work including secondary studies also. However, some authors might not prefer to include all types of documents.

The paper includes implications for the development of trust and reputation management area of blockchain.

The bibliometric analysis is worthy for scholars, researchers and students to help them make better decision in the field of blockchain with respect to various parameters. The study also serves as a motivating factor to conduct research in the area of blockchain with any language as a medium of research.

The purpose of this paper is to analyse and describe several trust and reputation models for distributed and heterogeneous networks and compare some of them in order to provide an evaluation amongst some of the most relevant works in this field.

The authors have developed a trust and reputation models simulator for wireless sensor networks, called TRMSim‐WSN, and implemented several trust models for distributed networks in order to test their accuracy as well as their resilience against a set of specific security threats that can be applied in these particular systems, as the paper will show.

The analysis of the outcomes obtained from the experiments revealed that while some models have a reasonably good performance against certain security threats, none of them behaves as would be desired under any circumstances.

Ongoing work is focused on the implementation of several trust and reputation models in the simulator TRMSim‐WSN, in order to have a wider range of possibilities for comparison. Furthermore, the authors are planning to include additional security threats that allow the testing of those models under new undesirable situations.

The experiments show that when deciding which trust and/or reputation model is more suitable or adequate to be applied, it is crucial to study and analyse the specific features of the distributed network where such model is to be deployed, as well as the possible security threats that can spoil its accuracy.

As far as is known, this is one of the few works in the field of trust and reputation in distributed systems where no new model is presented, but a comparison and analysis of some of the current most representative ones is carried out.

Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.

The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’ trust level, these trust levels are then used in the routing decision-making process.

In order to prove the applicability of the proposed solution, extensive experiments were conducted to evaluate the efficiency of the proposed model, aiming at improving the network interaction quality, malicious node mitigation and enhancements of the system’s security.

The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory, where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics. Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.

It is necessary to determine the processes affecting cloud computing service applications in supply chain management (SCM) systems in order to facilitate cloud computing service exchanges and transmission of data among supply chain members. The paper aims to discuss these issues.

Drawing on the elaboration likelihood model (ELM) and integrating the commitment trust theory, this paper develops a theoretical model using argument advantage and source credibility constructs to examine the relationships among perceived usefulness, attitude, trust and usage intention.

The results indicate that both the central route and the peripheral route of the ELM have a positive influence on perceived usefulness. The argument advantage has a strong influence on perceived usefulness as compared to source credibility while source credibility has a strong impact on trust. Furthermore, the perceived usefulness of cloud computing services plays a pivotal role in attitude and intention, whereas trust has a weak effect on usage intention.

The proposed model not only explores the argument that potential user evaluations of both the advantages of cloud computing services and source credibility influence their affective states, which in turn affect their usage intention, but it also examines the mediating factors that influence processes related to cloud SCM acceptance.

A growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.

To facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.

The findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.

Based on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.

This study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.

While a great amount of literature has focused on the relationship between communication strategies and corporate reputation, there is no systematic research on the different kinds of social media communication strategies. Based on the corporate reputation and social media literature, this paper aims to contribute to this gap in the research in two main ways. First identifying which social media communication strategy is more effective with contrasting levels of reputations; second, analyzing the differences between high- and low-reputation companies with respect to their ability to use corporate communication.

This paper uses a longitudinal explorative multiple-case study and theoretical sampling. The research setting is the Italian insurance context. The focus of this analysis on one medium, Facebook, because it is the most exploited in the context of the Italian insurance sector.

Six complementary social media communication strategies were identified: egocentric, conversational, selective, openness, secretive and supportive. The results also reveal distinct ways in which high-, medium- and low-reputation companies’ utilize the six complementary strategies of communications.

The study is based on a single industry and on one single geographical market, and care should thus be taken in generalizing the findings to other contexts. Therefore emerges the opportunity to broaden this research to other similar service sector, such as banking, to assess and generalize the results obtained. In addition, a possible direction of research, especially from a methodological standpoint, should investigate companies from different countries. Such a comparative study would examine in depth whether and to what extent the institutional framework may impact on communication strategies implemented by companies. This study only analyzed one social media (Facebook); hence, we cannot draw firm conclusions about what may constitute a successful social media communication strategy.

From this study, managers can learn how to combine the six communication strategies to have an effective impact on the corporate reputation. They can also learn how the number of interactions and the time taken to respond to questions from customers improve the corporate reputation and provide communication that is more effective.

This research extends the previous literature on corporate reputation and corporate communication, showing the relationship between them in a social media context and providing different strategies of managing this combination.

The purpose of this research is to investigate the causes of consumers' negative attitudes toward banks.

Based on the data collected through a survey, structural equation modeling (SEM) and path analysis were utilized to test the hypotheses. In total, 420 questionnaires were collected from Lebanese customers.

The results indicate five factors affecting consumer negative attitudes to the banks, which include consumers' perception of financial distress, the behavioral variable concerning the extent to which consumers had been detrimentally affected by the crisis, consumers' knowledge of the crisis, consumers' feelings of anger and consumers' political orientation.

This research offers new contributions in the research of consumers' negative attitudes toward banks during a financial crisis from a theoretical perspective and in reputation and trust management from an applicative perspective.