New-consensus macroeconomic governance in a Keynesian world, and the Keynesian alternative

The paper presents both the New Consensus and Keynesian equilibrium within the usual four competitive macro-markets structure. It gives theoretical explanations of the pernicious effects that the NCM governance, which has been designed for ergodic stationary regimes, brings about in Keynesian non-ergodic regimes. It put forward Keynesian principles of governance which include monetary, budgetary and fiscal instruments, and suggest new directions for the positive and normative analysis of macro-policies.

Knowledge governance, innovation and development

This paper aims to be a very preliminary effort to contribute to a better understanding of the interaction among innovation, competition and intellectual property policies from an evolutionary-developmental perspective. As such, it seeks to build a more coherent framework within which the discussions of both institution building and policy design for development can proceed. In order to accomplish that, the paper introduces the concept of "Knowledge Governance" as an alternative analytical and policy-oriented approach, and suggests that from a public policy/public interest perspective, and within an evolutionary framework, it is a better way to address the problems concerning the production, appropriability and diffusion of knowledge. In doing so, it also intends contribute to broaden the ongoing discussions on the "New Developmentalism".

Governance of Healthcare Data: International Standards and Recommendations

In the global phenomenon, the aging population becomes a critical issue. Data and information concerning elderly citizens are increasing and are not well organized. In addition, these unstructured data and information cause the problems for decision makers. Since we live in a digital world, Information Technology is considered to be a tool in order to solve problems. Data, information, and knowledge are crucial components to facilitate success in IT service system. Therefore, it is necessary to study how to organize or to govern data from various sources related elderly citizens. The research is conducted due to the fact that there is no internationally accepted holistic framework for governance of data. The research limits the scope to study on the healthcare domain; however, the results can be applied to the other areas. The research starts with an ongoing research of Dahlberg and Nokkala (2015) as a theory. It explains the classification of existing data sources and their characteristics with the focus on managerial perspectives. Then the studies of existing frameworks at international and national level organizations have been performed to show the current frameworks, which have been used and are useful in compiling data on elderly citizens. The international organizations in this research are selected based on their reputations and the reliability to obtain information. The selected countries at national level provide different point of views between two countries. Australia is a forerunner in IT governance while Thailand is the country which the author has familiar knowledge of the current situation. Considered the discussions of frameworks at international and national organizations level illustrate the main characteristics of each framework. At international organization level gives precedence to the interoperability of exchanging data and information between different parties. Whereas at national level shows the importance of the acknowledgement of using frameworks throughout the country in order to make the frameworks to be effective. After the studies of both international and national organization levels, the thesis shows the summarized tables to answer the fitness to the proposed framework by Dahlberg and Nokkala whether the framework help to consolidate data from various sources with different formats, hierarchies, structures, velocities, and other attributes of data storages. In addition, suggestions and recommendations will be proposed for the future research.

Power and Performance Management Strategies on NoC-Based Multicore Platforms, Using DVFS, Adaptive Algorithm and Task Parallelism

This work presents synopsis of efficient strategies used in power managements for achieving the most economical power and energy consumption in multicore systems, FPGA and NoC Platforms. In this work, a practical approach was taken, in an effort to validate the significance of the proposed Adaptive Power Management Algorithm (APMA), proposed for system developed, for this thesis project. This system comprise arithmetic and logic unit, up and down counters, adder, state machine and multiplexer. The essence of carrying this project firstly, is to develop a system that will be used for this power management project. Secondly, to perform area and power synopsis of the system on these various scalable technology platforms, UMC 90nm nanotechnology 1.2v, UMC 90nm nanotechnology 1.32v and UMC 0.18 μmNanotechnology 1.80v, in order to examine the difference in area and power consumption of the system on the platforms. Thirdly, to explore various strategies that can be used to reducing system’s power consumption and to propose an adaptive power management algorithm that can be used to reduce the power consumption of the system. The strategies introduced in this work comprise Dynamic Voltage Frequency Scaling (DVFS) and task parallelism. After the system development, it was run on FPGA board, basically NoC Platforms and on these various technology platforms UMC 90nm nanotechnology1.2v, UMC 90nm nanotechnology 1.32v and UMC180 nm nanotechnology 1.80v, the system synthesis was successfully accomplished, the simulated result analysis shows that the system meets all functional requirements, the power consumption and the area utilization were recorded and analyzed in chapter 7 of this work. This work extensively reviewed various strategies for managing power consumption which were quantitative research works by many researchers and companies, it's a mixture of study analysis and experimented lab works, it condensed and presents the whole basic concepts of power management strategy from quality technical papers.

Democracy over governance

Varieties of institutional economics are available to evaluate varieties of capitalism. These methodologies dig behind preferences and technology to arrive at the ground on which agents make choices. The individual is at the foundation of these edifices, neoclassical and otherwise. Consequently, the denouement of all these models is that the market knows best in the absence of effective counterfactuals. A natural corollary is that the task of the government is to set effective mechanisms in place in order to approach the best outcomes. In contrast, we propose a framework which contends with the modern economy as an aggregate that evolves in historical time. Problems like effective demand failures are endemic to capitalist economies. Therefore, systematic State intervention is essential to their functioning. In particular, political economy teaches us that intervention must be in the interest of wage earners. In contrast to the earlier model, the fabric of norms and conventions that facilitate the growth and development of economies must emerge from the consciousness and practices of the working class.

Building governance in the international financial system: Context and challenges

ABSTRACTThe international financial system has undergone deep changes since the 1970s and its stability cannot be reached in spite of actor's interests or the existence of countless coordination fora. Analyzing the system's incentive structure, one can note that its stability depends on the control of imbalances, which are not always harmful for States, creating, thus, a disturbing component in the quest for international financial management. Furthermore, non-state actors have acquired a disproportional share of power following financial globalization, escaping the control of States and of the international community.