The onus on us? Stage one in developing an i-Trust model for our users.

This article describes a Joint Information Systems Committee (JISC)-funded project, conducted by a cross-disciplinary team, examining trust in information resources in the web environment employing a literature review and online Delphi study with follow-up community consultation. The project aimed to try to explain how users assess or assert trust in their use of resources in the web environment; to examine how perceptions of trust influence the behavior of information users; and to consider whether ways of asserting trust in information resources could assist the development of information literacy. A trust model was developed from the analysis of the literature and discussed in the consultation. Elements comprising the i-Trust model include external factors, internal factors and user's cognitive state. This article gives a brief overview of the JISC funded project which has now produced the i-Trust model (Pickard et. al. 2010) and focuses on issues of particular relevance for information providers and practitioners

On Behalf of a Bi-Level Account of Trust

A bi-level account of trust is developed and defended, one with relevance in ethics as well as epistemology. The proposed account of trust—on which trusting is modelled within a virtue-theoretic framework as a performance-type with an aim—distinguishes between two distinct levels of trust, apt and convictive, that take us beyond previous assessments of its nature, value, and relationship to risk assessment. While Ernest Sosa (2009; 2015; 2017), in particular, has shown how a performance normativity model may be fruitfully applied to belief, my objective is to apply this kind of model in a novel and principled way to trust. I conclude by outlining some of the key advantages of the performance-theoretic bi-level account of trust defended over more traditional univocal proposals

Transparency in Supply Chains: Is Trust a Limiting Factor?

Transparency has gained much relevance in food chains. This paper summarizes the determinants of transparency and points out that transparency in the sense of effective information exchange needs trust as a mediator in order to become a powerful tool in supply chain management. In addition to that this paper analyses the characteristics of trust and highlights the reciprocal and dynamic mechanisms of trust on transparency and vice versa. It is argued that both constructs should be enhanced at the same time in order to realize the benefits of trust and transparency on supply chain management.Transparency, trust, power, control, agribusiness, Agribusiness,

From Manifesta to Krypta: The Relevance of Categories for Trusting Others

In this paper we consider the special abilities needed by agents for assessing trust based on inference and reasoning. We analyze the case in which it is possible to infer trust towards unknown counterparts by reasoning on abstract classes or categories of agents shaped in a concrete application domain. We present a scenario of interacting agents providing a computational model implementing different strategies to assess trust. Assuming a medical domain, categories, including both competencies and dispositions of possible trustees, are exploited to infer trust towards possibly unknown counterparts. The proposed approach for the cognitive assessment of trust relies on agents' abilities to analyze heterogeneous information sources along different dimensions. Trust is inferred based on specific observable properties (Manifesta), namely explicitly readable signals indicating internal features (Krypta) regulating agents' behavior and effectiveness on specific tasks. Simulative experiments evaluate the performance of trusting agents adopting different strategies to delegate tasks to possibly unknown trustees, while experimental results show the relevance of this kind of cognitive ability in the case of open Multi Agent Systems

Antecedents of trust in international joint ventures' (IJVS) performance in developing countries: A review of empirical evidence

Trust in international joint venture has received much attention for the last 20 years. This study highlights the importance of social capital in international joint ventures (IJVs) in developing countries. This paper assesses the impact of antecedents of trust on performance of international joint ventures in developing countries, which is based on social exchange theory. Little attention has been paid to exploring the concept in IJV. The impacts of components of inter partner-fits and relational factors on trust and the effect of trust on performance of IJVs will be considered. In addition the impact of religion and country risk on level of trust in IJVs in these countries will be evaluated. A framework has been developed based on this review analyses and integrates empirical evidence in order to identify convergence and conflict in IJV. The paper addresses a problem of relevance to both international academics and practitioners in addressing managerial implications. It is hoped that the study will provide a meaningful implication to the process of selection of IJV partners

Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval

Relevance judgment in Information Retrieval is influenced by multiple factors. These include not only the topicality of the documents but also other user oriented factors like trust, user interest, etc. Recent works have identified and classified these various factors into seven dimensions of relevance. In a previous work, these relevance dimensions were quantified and user's cognitive state with respect to a document was represented as a state vector in a Hilbert Space, with each relevance dimension representing a basis. It was observed that relevance dimensions are incompatible in some documents, when making a judgment. Incompatibility being a fundamental feature of Quantum Theory, this motivated us to test the Quantum nature of relevance judgments using Bell type inequalities. However, none of the Bell-type inequalities tested have shown any violation. We discuss our methodology to construct incompatible basis for documents from real world query log data, the experiments to test Bell inequalities on this dataset and possible reasons for the lack of violation

How Does Social Trust Affect Economic Growth?

This paper connects two strands of the literature on social trust by estimating the effects of trust on growth through a set of potential transmission mechanisms directly. It does so by modelling the process using a three-stage least squares estimator on a sample of countries for which a full data set is available. The results indicate that trust affects schooling and the rule of law directly. These variables in turn affect the investment rate (schooling) and provide a direct effect (rule of law) on the growth rate. The paper closes with a short discussion of the relevance of the findings.Growth; Trust; Transmission mechanisms

Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease

Visualizing and interpreting convolutional neural networks (CNNs) is an important task to increase trust in automatic medical decision making systems. In this study, we train a 3D CNN to detect Alzheimer's disease based on structural MRI scans of the brain. Then, we apply four different gradient-based and occlusion-based visualization methods that explain the network's classification decisions by highlighting relevant areas in the input image. We compare the methods qualitatively and quantitatively. We find that all four methods focus on brain regions known to be involved in Alzheimer's disease, such as inferior and middle temporal gyrus. While the occlusion-based methods focus more on specific regions, the gradient-based methods pick up distributed relevance patterns. Additionally, we find that the distribution of relevance varies across patients, with some having a stronger focus on the temporal lobe, whereas for others more cortical areas are relevant. In summary, we show that applying different visualization methods is important to understand the decisions of a CNN, a step that is crucial to increase clinical impact and trust in computer-based decision support systems.Comment: MLCN 201

The Importance of Brand Liking and Brand Trust in Consumer Decision Making: Insights from Bulgarian and Hungarian Consumers During the Global Economic Crisis

This paper presents the research findings of a global brand study conducted during the recent global economic crisis. The study sought to understand how four brand constructs (country-of-origin, brand familiarity, brand liking and brand trust) would influence global brand purchase intent in a sample of consumers living in Bulgaria and Hungary. Step-wise regression models were used for the study’s twenty brands for consumers living in both countries. The regression models indicated that brand liking and brand trust were the most important predictors of purchase intent in both groups. The paper discusses the relevance of these findings for marketing global brands in post-crisis environments in both countries.brand trust, brand liking, Hungary, Bulgaria, global marketing

Money, Trust and Happiness in Transition Countries: Evidence from Time Series

The evolution over time of subjective well-being (SWB) in transition countries exhibit some peculiarities: greater variations which are more strongly correlated with the trends of GDP relative to other countries. What is the possible role of social trust in predicting such variations? We compare the capacity of the trends of GDP and of social trust to predict the trends of SWB. We find that the strength of the relationship between social trust and SWB over the medium-term is comparable to that of GDP. Our conclusion is that in the medium-term, even in countries considered as an extreme case of relevance of material concerns for well-being, social trust is a powerful predictor of the evolution over time of SWB. However, in the short run the relationship between social trust and SWB does not hold and GDP stands out as the only significant correlate of SWB.Easterlin paradox; GDP; economic growth; subjective well-being; happiness; life satisfaction; social capital; time-series; short run; transition countries