Similarity-based Techniques for Trust Management

A network of people having established trust relations and a model for propagation of related trust scores are fundamental building blocks in many of todayŠs most successful e-commerce and recommendation systems. Many online communities are only successful if sufficient mu-tual trust between their members exists. Users want to know whom to trust and how muc

From subjective reputation to verifiable experiences - augmenting peer-control mechanisms for open service ecosystems

Peer reviewe

Distributed Leadership: A Review of Literature

A review of empirical research studies of distributed leadership from public and private sector settings completed since 1995

Attack Classification and Detection for Misbehaving Vehicles using ML/DL

Vehicle ad hoc networks are a crucial component of the next Intelligent Transportation System created to build a reliable and secure connection between various network components to establish a safe and effective transportation network. Because of open nature of VANETs become vulnerable to numerous assaults such forgery, Denial-of-Service (DoS), and false reports, which can ultimately cause traffic jams or accidents The earlier study concentrated on misbehaving vehicles rather than RSUs. Proposed method integrates data from two subsequent BSMs for testing and training by employing machine learning (ML) methods. The framework merges the data from two BSMs in the right manner and utilizes machine learning/Deep learning methodology which identify the running vehicle as a legal or hostile one

The Black Box of Enrollment Management: The Influence of Academic Capitalism and Values of the Public Good

The study addresses the widening income and racial access gap in higher education resulting from enrollment management teams’ operationalization of academic capitalism. The study focuses on the local, micro level, emphasizing how enrollment management leadership teams make sense of enrollment management, recognizing that enrollment management and the work of enrollment management stakeholders exist within an organizational space encompassing the values of both public good and academic capitalism. Using a case study methodology and critical sensemaking theory, the research explored how academic capitalism and values of the public good shaped enrollment management leadership teams’ sensemaking and sensegiving as they enacted decisions, actions, and practices to recruit and admit students. The main conclusion includes the critical role of the EMLTs and its members’ agency in public good enactments, especially driving the sensemaking process, and a more nuanced and complicated picture between academic capitalism and values of the public good in enrollment management. The study is the first to demonstrate that academic capitalism and the public good can coexist and overlap, in various ways, within the field of enrollment management despite existing literature’s overwhelming characterization of enrollment management as firmly existing within the space of academic capitalism. Recommendations for colleges and universities include leveraging capitalist tools to drive a public good agenda; using predictive data analytics to have a measured approach to increase access; balancing the use of tuition discounting; investing in hiring organizational actors who can operate with contradictory logics and share public good values; developing key public good metrics; diversifying revenue streams; and for wealthy institutions to be bold in their public good enactments

Deconstructing Corporate Governance: The Mechanics of Trusting

The phenomenon of trust among firm participants is a much neglected academic inquiry in corporate governance research and the theory of the firm. This Article elaborates on the comparatively small sample of existing legal research on the intersection of trust and corporate governance and tries to interrupt the selective (in-)attention given to the philosophical, psychological, political, sociological, economic, and legal phenomenon that is our individual as well as collective, everyday trust (or distrust) in the functionality and explainability of the world tomorrow in accordance with our preferences of today and our experiences of the past. Trust—as a phenomenon—is a concrete but severely underappreciated reality for the success of corporate investments and the accountability of corporate management. It constitutes part of a complex solution for encouraging investor confidence in the face of absolute decision-making power of corporate directors. Trust efficiently combines and balances otherwise unrestricted managerial power with a robust measure of accountability of corporate management—an entirely elusive measure within the realm of corporate governance law. It thereby provides a sophisticated, yet poorly understood, remedy to the most significant but unresolved academic dilemma in corporate governance theory—namely, the lack of predictive ability of existing microtheoretical models of the firm. This Article primarily discusses trust (and trustworthiness) as a mechanism, not as a virtue. By focusing on the procedural and substantive mechanics of trusting as a phenomenon, this Article explains the cohesive power and low-transactioncost functionality which is built into successful exercises of trusting for purposes of encouraging and establishing pervasive corporate investments as the rational-choice baseline for voluntary firm participants

Deconstructing Corporate Governance: The Mechanics of Trusting

The phenomenon of trust among firm participants is a much neglected academic inquiry in corporate governance research and the theory of the firm. This Article elaborates on the comparatively small sample of existing legal research on the intersection of trust and corporate governance and tries to interrupt the selective (in-)attention given to the philosophical, psychological, political, sociological, economic, and legal phenomenon that is our individual as well as collective, everyday trust (or distrust) in the functionality and explainability of the world tomorrow in accordance with our preferences of today and our experiences of the past. Trust—as a phenomenon—is a concrete but severely underappreciated reality for the success of corporate investments and the accountability of corporate management. It constitutes part of a complex solution for encouraging investor confidence in the face of absolute decision-making power of corporate directors. Trust efficiently combines and balances otherwise unrestricted managerial power with a robust measure of accountability of corporate management—an entirely elusive measure within the realm of corporate governance law. It thereby provides a sophisticated, yet poorly understood, remedy to the most significant but unresolved academic dilemma in corporate governance theory—namely, the lack of predictive ability of existing microtheoretical models of the firm. This Article primarily discusses trust (and trustworthiness) as a mechanism, not as a virtue. By focusing on the procedural and substantive mechanics of trusting as a phenomenon, this Article explains the cohesive power and low-transactioncost functionality which is built into successful exercises of trusting for purposes of encouraging and establishing pervasive corporate investments as the rational-choice baseline for voluntary firm participants

Identifying some obstacles from intuition to a successful mediation process

Intuition and common beliefs can sometimes misguide the mediator and be obstacles to the success of mediation, when they are linked to behaviors which likely induce negative consequences in the process. Following four different stages of a mediation session, this paper names a series of such obstacles and explores their underlying intuitions, as well as their subsequent usual behavior and its rather negative effects. Each time, alternative strategies that increase expectations of success are suggested, with their expected outcome. This paper combines a descriptive approach of obstacles which increase the chance of a negative process and mediation failure, with a prescriptive approach of alternative behaviors that increase the chance of a positive process and mediation success.Mediation; Success; Failure; Obstacles; Process; Intuition; Mediator’s Behavior; Descriptive Approach; Prescriptive Approach

Tool for simulating reputation management algorithms in multiagent systems

Efficient service-oriented inter-enterprise collaboration focuses on the business processes of the enterprises and hides the technology differences between them. However, such collaboration induces two main challenges. First, there should be an accessible and functioning infrastructure available for the collaboration. Second, as the growing number of participants can lead to the growing level of misbehaving among them, and thus market deterioration, that is why the parties should have common understanding of the behavior that is appropriate and can be trusted. We focus on the trust relationships between the agents' interactions. Agents make a trust decision before interacting, and this decision among other factors is based on an estimation of another agent's reputation. A reputation management system collects and analyzes interactions experience between agents. Let us call a person, company or any other possible entity whose goal is to build an infrastructure for the interactions between enterprises using one of the trust and reputation management algorithms as an infrastructure builder. For an infrastructure builder it is important to evaluate and compare reputation management systems, choosing one of them based on the evaluation and comparison results. This remains an open question in research. The thesis aims at supporting the decision-making process of this kind. We suggest evaluation criteria for a trust or reputation management systems' evaluation. We implement a generic tool which can plug in a trust or reputation management algorithm and simulate the behavior of the multiagent system where every agent follows the same algorithm. We illustrate the tool's support for some of the suggested evaluation criteria. We provide some recommendations for further development of the generic tool for evaluating and comparing the above-mentioned behavior characteristics of different trust and reputation management algorithms. ACM Computing Classification System (CCS): Human-centered computing → Collaborative and social computing → Collaborative and social computing systems and tools → Reputation systems Computing methodologies → Artificial intelligence → Distributed artificial intelligence → Multi-agent system