The present study aims to investigate the association between political connections and related-party transactions for the firms listed on the Tehran Stock Exchange (TSE). Sample includes the 485 firm-year observations from companies listed on the Tehran Stock Exchange during the years 2013 to 2017 and research hypothesis was tested using multivariate regression model based on panel data.We fin...

BACKGROUND In light of the gap in evidence to inform future resource allocation decisions about healthcare provider (HCP) training in low- and middle-income countries (LMICs), and the considerable donor investments being made towards training interventions, evaluation studies that are optimally designed to inform local policy-makers are needed. The aim of our study is to understand what feature...

Senior decision-makers in the Canadian healthcare system have to continuously make significant, and complex, policy and program decisions. However, it appears that, often, the evidence they have available is fairly simple descriptive information, collected for operational purposes. Trying to solve complex problems with fairly simple data may lead to suboptimal decisions. This article presents a...

Policy making in health is largely thought to be driven by three 'I's namely ideas, interests and institutions. Recent years have seen a shift in approach with increasing reliance being placed on role of evidence for policy making. The present article ascertains the role of ideas and ideologies in shaping evidence which is used to aid in policy decisions. The article discusses different theorie...

Both data warehouse (DW) and knowledge management (KM) facilitate decision-making processes. The DW makes it possible to carry out complex analyses of organizational transactions in order to provide decision makers with analyzed information (Rizzi, 2007) while KM efforts are directed toward solutions that support decisionmaking processes. In addition, KM can provide organizational resources (Ho...

In this letter, we propose a learning system, active decision fusion learning (ADFL), for active fusion of decisions. Each decision maker, referred to as a local decision maker, provides its suggestion in the form of a probability distribution over all possible decisions. The goal of the system is to learn the active sequential selection of the local decision makers in order to consult with and...

In this study, performance of classification techniques is compared in order to predict dividend policy decisions. We first analyzed the feasibility of all available companies listed in the Korea Exchange (KRX) market as dividend data sets by using classification techniques. Then we developed a prediction model based on support vector machines (SVM). We compare the classification accuracy perfo...

This article describes recent events in the governance of standard-setting for 2 areas of US health policy - states' decisions about which prescription drugs to cover under Medicaid and other public programs and making health an aspect of foreign policy - and whether these events offer lessons for policy making. In prescription drug coverage, methodologic advances in research that evaluates hea...

Background Good decision-making requires gathering and using sufficient information. Several knowledge translation platforms have been introduced in Burkina Faso to support evidence-informed decision-making. One of these is the rapid response service for health. This platform aims to provide quick access for policy-makers in Burkina Faso to highquality research evidence about health systems. Th...