THE RISK ANALYSIS FOR INVESTMENTS PROJECTS DECISION

The risk signifies the possibility of existence of one situation in which the obtainedresults are far from the targeted objectives. Assuming the risk by the entrepreneurs becomes thesource of profit within the economy; this is the reason why its analysis is a prior objective insubstantiating decisions related on the investments efficiency. In the paper there are presentedsome categories of risks that can appear within the investment activity and is exemplified the riskanalysis on the base of studying the projects sensitivity.investments, risk, economic performance, sensitivity analysis

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Applications of artificial intelligence (AI) in diagnostic radiology:a technography study

Objectives: Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain. Methods: We systematically analyzed these applications based on their focal modality and anatomic region as well as their stage of development, technical infrastructure, and approval. Results: We identified 269 AI applications in the diagnostic radiology domain, offered by 99 companies. We show that AI applications are primarily narrow in terms of tasks, modality, and anatomic region. A majority of the available AI functionalities focus on supporting the “perception” and “reasoning” in the radiology workflow. Conclusions: Thereby, we contribute by (1) offering a systematic framework for analyzing and mapping the technological developments in the diagnostic radiology domain, (2) providing empirical evidence regarding the landscape of AI applications, and (3) offering insights into the current state of AI applications. Accordingly, we discuss the potential impacts of AI applications on the radiology work and we highlight future possibilities for developing these applications. Key Points: • Many AI applications are introduced to the radiology domain and their number and diversity grow very fast. • Most of the AI applications are narrow in terms of modality, body part, and pathology. • A lot of applications focus on supporting “perception” and “reasoning” tasks

Helping chronically ill or disabled people into work: what can we learn from international comparative analyses?

This project has added to knowledge in five main areas: It has mapped the range and types of policies and interventions that have been implemented in Canada, Denmark, Norway, Sweden and the UK that may influence employment chances for chronically ill and disabled people. By doing so it has added to understanding about what has actually been tried in each country and what might be considered in others. It has refined a typology of the focussed interventions that have been identified, based on the underlying programme logic of the intervention, which aids strategic thinking about national efforts to help chronically ill and disabled people into work. It has produced systematic reviews of the impact of the focussed interventions on the employment chances of chronically ill and disabled people and demonstrated the use of the typology in helping to interpret the results of the evaluations. The project’s empirical analyses of individual-level data have identified how chronically ill people from different socio-economic groups have fared in the labour markets of the five countries over the past two decades. It has then tested these findings against hypotheses about the impact of macro-level labour market policies on chronically ill people to provide insights into the influence of the policy context. The project has contributed to methodological development in evidence synthesis and the evaluation of natural policy experiments. By studying a small number of countries in great depth, we gained greater understanding of the policies and interventions that have been tried in these countries to help chronically ill and disabled people into work, against the backdrop of the wider labour market and macro-economic trends in those countries. We then integrated evidence from the wider policy context into the findings of systematic reviews of effectiveness of interventions, to advance interpretation of the natural policy experiments that have been implemented in these countries

An interactive approach to policy impact assessment for organic farms in Europe

Organic farming has increasingly become an integral part of the European Common Agricultural Policy. This book analyses the impact of possible future EU policy options on typical organic dairy and arable farms in the EU. A novel methodological approach is tested in terms of applicability and feasibility of using it for international comparative policy impact analysis for organic farms. This approach links focus groups, consisting of farmers and advisors, with a policy impact assessment simulation model in an interactive manner

Development of Systems of Objectives in Early Product Engineering. Entwicklung von Zielsystemen in der frühen Produktentstehung

Early stages are characterised by high uncertainty regarding a future product and its environment. This thesis investigates technical product objectives especially regarding their alignment to future constraints. It presents a strategy and systemic modelling approach based on the integrated product engineering model (iPeM) to enable operative planning and management during the generation of objectives in early stages. Insights base on an empirical study conducted in the automotive industry

Lifting export performance. Actions to drive growth in exports

This report aims to provide an independent view on options for New Zealand firms, business organisations and government to boost export growth

Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security