Search results

Nations such as the USA are investing in technologies such as electronic health records in order to collect, store and transfer information across boundaries of health care, public health and research. Health information brokers such as health care providers, public health departments and university researchers function as “access points” to manage relationships between the public and the health system. The relationship between the public and health information brokers is influenced by trust; and this relationship may predict the trust that the public has in the health system as a whole, which has implications for public trust in the system, and consequently, legitimacy of involved institutions, under circumstances of health information data sharing in the future. This paper aims to discuss these issues.

In this study, the authors aimed to examine characteristics of trustors (i.e. the public) that predict trust in health information brokers; and further, to identify the factors that influence trust in brokers that also predict system trust. The authors developed a survey that was administered to US respondents in 2014 using GfK’s nationally representative sample, with a final sample of 1,011 participants and conducted ordinary least squares regression for data analyses.

Results suggest that health care providers are the most trusted information brokers of those examined. Beliefs about medical deceptive behavior were negatively associated with trust in each of the information brokers examined; however, psychosocial factors were significantly associated with trust in brokers, suggesting that individual attitudes and beliefs are influential on trust in brokers. Positive views of information sharing and the expectation of benefits of information sharing for health outcomes and health care quality are associated with system trust.

This study suggests that demonstrating the benefits and value of information sharing could be beneficial for building public trust in the health system; however, trust in brokers of information are variable across the public; that is, knowledge, attitudes and beliefs are associated with the level of trust different individuals have in various health information brokers – suggesting that the need for a personalized approach to building trust.

The purpose of this study is to show that an important antecedent of perceived knowledge quality is an employee’s position in the organizational network due to their participation in different interest groups. In particular, this study theorizes that brokers establish a network of groups, which increases perceived knowledge quality vis-a-vis the social capital that employees draw on.

To test this study’s hypotheses on the influence of the structural position of knowledge brokers on the positive effects of social capital on perceived knowledge quality, this study combines data from an online survey with longitudinal archival data from a youth-care organization who used an enterprise social network (ESN) for knowledge sharing.

This study found a mitigating effect of being a broker on the relationship between trust and perceived knowledge quality, and also between inter-team interaction and perceived knowledge quality for lower levels of both trust and inter-team interaction on perceived knowledge quality.

Although the hypotheses are supported, in light of prior research, the authors would have expected stronger and positive effects.

This research is particularly interesting because it emphasizes the important role of social capital. For organizations that deal with trust issues, it might help to stimulate employees to broaden their activity on ESNs by becoming active in multiple groups.

While knowledge sharing on ESNs is generally conducive for creating organizational value, there is a lack of understanding of what drives employees’ perception of the quality of shared knowledge, and how this perception may depend on their position in the social network. To investigate this question, the authors turn to social capital theory.

In view of the complexity of supply chain management (SCM) in the insurance industry, to the best of the authors’ knowledge, this paper was the first to use symmetrical and asymmetrical methos to examine how the insurer’s service quality and SCM can be configurated to explain the relationships between the insurance companies and brokers as the intermediaries. This study positions insurance brokers as the insurance companies’ customers and supply chain partners, aims to examine the relationships between service quality, SCM and relationship quality.

This paper undertook two studies and used two methods to examine how the insurer’s service quality and SCM can be configurated to explain the relationships between the insurance companies and brokers as the intermediaries. Both symmetrical and asymmetrical analyses were performed including regression and fuzzy-set qualitative comparative analysis (fsQCA).

The results from symmetrical analyses and fsQCA from two countries show substantial differences in how service quality and SCM affect relationship quality. In particular, fsQCA show that all service quality dimensions are important antecedent conditions of relationship quality for Portuguese brokers. Interestingly for Irish brokers, the combination of assurance, responsiveness and the insurer’ empathy conjunctively accounted for their satisfaction, whereas none of these quality factors are related to their commitment and trust. All SCM factors are important to explain the brokers’ relationship quality with their chosen insurers for both countries.

This study contributes to three areas of research: service quality, SCM and relationship marketing. Firstly, this study used an asymmetrical approach to providing insights into the effect of service quality dimensions by showcasing how these dimensions were configurated to explain the outcome of interest, rather than examining their symmetrical path coefficients. Secondly, this study identified the key factors of SCM in the insurance industry and how these factors can be configurated through Boolean algebra to explain relationship quality between supply chain partners. Finally, this study has implications for relationship marketing research.

As the study was conducted with the insurance brokers in Portugal and Ireland, the findings have implications for the insurance companies for the two countries. As different service quality factors and SCM exert different effects on relationship quality, the insurance companies should look into these factors to modify their current practice to improve relationship quality with their brokers.

Theoretically, to the best of the authors’ knowledge, this is the first study to approach from intermediaries to address effectiveness of SCM. Methodologically, to the best of the authors’ knowledge, this is the first study to use fsQCA – a case-based approach to understand SCM and relationship quality between stakeholders.

This paper aims to investigate the contribution of brokers to business non-profit collaborations, in the context of employee volunteering. It investigates the roles brokers play and ways they contribute to value creation within social alliances.

This research focusses on a case study of a UK employee volunteering broker programme run by a local volunteer centre. A combined qualitative methodology involved document analysis and interviews, with brokers and business, community and government partners involved in employee volunteering collaborations.

Brokers play three key roles in business non-profit collaboration as connectors, facilitators/co-designers and learning catalysts. These roles help stimulate manifestations of associational value, transferred resource value, interaction value and synergistic value.

Results indicate brokers play an important part in nurturing conditions underpinning innovation and value co-creation, key characteristics of transformational forms of business non-profit collaboration. This study was based on a single case study. Future research could explore broker contributions within a variety of business non-profit settings.

For managers implementing business non-profit collaborations, this paper provides a framework depicting key broker roles and ways brokers enable collaborative value that may be useful when assessing whether to use the services of a broker.

This paper enriches the understanding of business non-profit collaboration and the role of individual actors in affecting value creation, an under-researched area in the social alliance literature. It provides a framework for assessing broker contributions in business non-profit collaborations.

It is well known that trust is an essential, yet a fragile part of organizational life. Because trust sometimes has to be placed without guarantees, it will inevitably be broken, violated, and damaged when parties involved in trustworthy relationships let others down. When trust-destroying events occur, trust is shattered and its level plummets quickly into the domain of distrust. The speed with which trust can be destroyed depends on the magnitude of damage from the act of untrustworthiness and the perceived intentionality of the untrustworthiness. Moreover, if seen as intentional, the destruction of trust is particularly severe, as intentional untrustworthiness reveals malevolent intentions that are seen as highly predictive of future untrustworthiness. Often, leaders are the ones responsible for improper handling of, destroying, or violating trust in their organizations. In this chapter, we explore the consequences of leaders for violating trust and examine how trust changes over time as a function of different types of violations and attempts at restoration. We argue that because distrust may irrevocably harm organizations, leaders as moral agents need to consciously work to rebuild relationships, restore broken trust, and instill hope.

Conceptual arguments favouring a relational rather than a transactional approach to the study of buyer‐seller relationships are now well understood. However, attempts to quantify the factors contributing towards relationship quality have been held back by the complexity of the underlying factors and their interrelatedness. Traditional regression techniques are not effective in analysing data with high levels of multi‐collinearity and missing information, typical in many studies of buyer behaviour. Makes use of a relatively new technique – neural network analysis – to try to quantify the factors contributing to buyer‐seller relationship quality. The technique uses a statistically‐based learning procedure modelled on the workings of the human brain which quantifies the relationship between input and output variables through an intermediate “hidden” variable level analogous to the brain. For this study, a neural network was developed with two outcome components of relationship quality (relationship satisfaction and trust), and five input antecedents (the salesperson′s sales orientation, customer orientation, expertise, ethics and the relationship′s duration). In a comparison of multiple regression and neural network techniques, the latter was found to give statistically more significant outcomes. New applications within marketing for neural network analysis are being found. Contributes towards the development of the technique and suggests a number of further possible applications.

This paper aims to describe a bilateral symmetric approach to authorization, privacy protection and obligation enforcement in distributed transactions. The authors introduce the concept of the obligation of trust (OoT) protocol as a privacy assurance and authorization mechanism that is built upon the XACML standard. The OoT allows two communicating parties to dynamically exchange their privacy and authorization requirements and capabilities, which the authors term a notification of obligation (NoB), as well as their commitments to fulfilling each other's requirements, which the authors term signed acceptance of obligations (SAO). The authors seek to describe some applicability of these concepts and to show how they can be integrated into distributed authorization systems for stricter privacy and confidentiality control.

Existing access control and privacy protection systems are typically unilateral and provider‐centric, in that the enterprise service provider assigns the access rights, makes the access control decisions, and determines the privacy policy. There is no negotiation between the client and the service provider about which access control or privacy policy to use. The authors adopt a symmetric, more user‐centric approach to privacy protection and authorization, which treats the client and service provider as peers, in which both can stipulate their requirements and capabilities, and hence negotiate terms which are equally acceptable to both parties.

The authors demonstrate how the obligation of trust protocol can be used in a number of different scenarios to improve upon the mechanisms that are currently available today.

This approach will serve to increase trust in distributed transactions since each communicating party receives a difficult to repudiate digitally signed acceptance of obligations, in a standard language (XACML), which can be automatically enforced by their respective computing machinery.

The paper adds to current research in trust negotiation, privacy protection and authorization by combining all three together into one set of standardized protocols. Furthermore, by providing hard to repudiate signed acceptance of obligations messages, this strengthens the legal case of the injured party should a dispute arise.

This paper compares and contrasts forward and reverse logistics in a retail environment, with the focus on the reverse flow of product. Many differences between forward and reverse flows of logistics systems are presented. The impact of these factors depends to some extent on the supply chain position of a firm. Unlike much reverse logistics research, which is written from the perspective of the firm which will remanufacture or refurbish the product in the reverse flow, we consider the issues from the perspective of the firm generating the reverse flow.

Cloud services have become very popular among researchers and people recently. In such a scenario, identifying reliable cloud services has become very important. The trust value plays a significant role in recognizing reliable providers. The purpose of this paper is to propose a new method to evaluate the trust metric among the cloud providers. The main goal is to increase the precision and accuracy of the trust evaluation method in the cloud environments.

This paper evaluates the trust metric among the cloud providers and entities by grouping the services and using a behavioral graph. Four parameters, availability, reliability, interaction evolution and identity, are used for evaluating the trust value. The performance of the proposed method is assessed using a simulator which is programmed in the cloud Azure 2013 based on C# codes.

The method is evaluated through various experiments in terms of precision, recall, error-hit, reliability and availability. The obtained results show that the proposed method has better reliability and availability than the FIFO and QoS models. Also, the results show that increasing the number of groups leads to increasing values of trust, precision and availability, and decreasing values of error-hit.

This paper proposes a trust evaluation method in the cloud environment by grouping the services and using a behavioral graph for improving the amount of availability, error-hit, precision and reliability values.

There can be no doubt that electronic commerce will become increasingly important to our economic well‐being in the decade ahead. It will allow people and organisations to conduct their current commerce electronically, and it will usher in new patterns of commerce as people identify and take advantage of the new opportunities E‐commerce brings. Much E‐commerce will be little more than the electronic execution of current commercial practice. To the degree that we see a role for the intermediary in current business practice, we will see the role for the electronic equivalent in E‐commerce. However, the change from conventional to electronic commerce will generate the need for an additional type of intermediary that has no direct counterpart in conventional commerce.