User:Octavian Serban/sandbox

Knowledge Economy Pyramid Knowledge Economy Pyramid model is a catalyst of knowledge ecosystems from education, research, technology, business, innovation, government and local communities, capable to create a collaborative environment with synergy effect: transforming knowledge value in increasing productivity and competitiveness. The model is the result of a research project developed by researcher Octavian Serban within Korea Institute for International Economic Policy, in June 2018. The need Global economy landscape needs a new economic model where knowledge is used as a valuable resource to stimulate innovation, creativity, and entrepreneurship in order to increase productivity and competitiveness for sustainable growth as a premise for social welfare. The policymakers have to design the new public policy for productivity and competitiveness considering the Knowledge Economy frontier and to establish the institutional capacity to manage the knowledge perspective of development. Considering the actual changes and trends at the global level, in the context of the competition intensification and adaptability to the new challenges, also the necessity for flexibility and fast response to the market needs, there is necessary to underline the role of productivity in the economic processes. General context Increasing productivity is a requirement for improving the activity, reducing costs, increase quality and generate profit. Nowadays, the socio-economic environment is much more complex in the context of diminishing the availability of natural resources, occurring financial crisis, increasing social disparities, increasing unemployment, financial instability and many other factors with significant influence over the growth rate. In this climate, productivity is a differentiator factor on the market; it is a contributor to the economic growth and key driver for increasing the standard of life. In this context, all the actors involved in the global economy want to find the appropriate solution, tools, methodology to boost productivity in order to be more competitive. At this point, we have to find out if the value added of knowledge could foster innovation, creativity, and entrepreneurship as endogenous drivers for growth. In other words, considering that the level of research in establishing the economic value of knowledge is quite advanced, it is important to know if these findings could help for creating a new model of development were the resulted synergy to be an accelerator for obtaining the maximum value of knowledge. The assumption The assumption of the current research is that a new economic model based on the economic value of knowledge to increase productivity and competitiveness could be created according to the evolution of knowledge analysis around the world. More than designing and describing this newly created framework, it is important to find out the degree of adaptability on the scale, scope, and geopolitical particularities. In a single word, we need to find out if the model could be replicated. Scope and objectives Productivity is a complex concept, not limited just to the physical production perspective: obtaining more outputs than inputs. This concept is influenced by the various factors which concur to increasing competitiveness and the most important one is technological advancement. At this point, the target of current research work is not to analyze the exogenous factors of production, such as capital or labor, or to enter into a sophisticated theoretical analysis of the market changes. The focus of this study is to understand better the endogenous drivers for progress or advancement, especially those related to Total Factor Productivity. Moreover, this research is dedicated to the in-depth analysis of value creation from the intensive use of knowledge. From this perspective, knowledge is considered a valuable resource and it is important to establish an appropriate methodology to create the optimal process for transforming knowledge in innovation, creativity, and entrepreneurship in order to increase productivity and competitiveness. From the socio-economic perspective, it is important to find out how to obtain more value from the use of knowledge and how this valuable resource could contribute to the sustainable growth. In order to determine the value of knowledge, first, we have to understand the real concept in its complexity with the distinction between tacit knowledge and explicit knowledge. Then, we have to understand the key drivers for knowledge methodology and have to define the actors, the process of knowledge creation and the tools for managing knowledge. In this context, could we determine specific tools to measure knowledge? This is another objective of this research work, to determine the effectiveness of the instruments and methodologies for knowledge assessment. There are many studies related to the analysis of knowledge from the economic perspective. The point of current research is to create an effective framework to generate a knowledge environment where different stakeholders are interacting in order to obtain maximum value from the use of knowledge. Considering this approach, it is important to find out if the collaboration of diverse knowledge ecosystems could generate more value of knowledge. The general objective of this research project is to design an effective and robust development model with an outstanding visual impact for creating a knowledge environment at the intersection of knowledge ecosystems generated by stakeholders, such as universities, research institutes, companies, industries, government and local communities. It is necessary to find out the synergy created from this environment, to determine the correlations, complementarities, and connections inside the framework. The scope of this development model is to transform the value of knowledge in innovation, creativity, and entrepreneurship for a specific purpose: increasing productivity and competitiveness to generate sustainable growth with direct impact over the population wellbeing. Methodology, process This research is neither theoretical approach nor a very traditional one with focusing only statistics, data analysis or regression models. Considering these basic analysis instruments, the study aims to find the most appropriate tools for knowledge assessment in the context of establishing the Knowledge Economy. Of course, there will be analyzed data from secondary sources, there will be determined trends, benchmarks, challenges, and risks, but there will be also performed an assessment process of the reliability of these determinations in order to succeed to understand better the real value of knowledge. The challenge is that the key drivers associated with progress, consequently Total Factor Productivity, generate a residual variable in production function which is very difficult to be measured; at the same time, most of the knowledge is not tangible. This research study is proposing to go deeper and to understand how intangible factors could contribute to the economic growth. From the perspective of adapting the research activity to the concrete needs, all the findings in this paper will be related to socio-economic reality. At this point, the study is intending to develop a practical example to test the robustness and effectiveness of the new model in real life. Regarding this aspect, the value proposition is to create an institutional capacity able to manage the new model at the national level. At the same time, the aim is to find out if the new model could be adapted to different economies, depending on the development level, geopolitical particularities, and socio-economic culture. Expectations The final result of the project is intending to be a toolkit for policy/decision-makers capable to be used in order to design a productivity and competitiveness policy adapted to the requirements of the Knowledge Economy. There will be provided instruments, methodologies, action plans necessary to take action in order to stimulate innovation, creativity, and entrepreneurship for increasing productivity and competitiveness. By the use of this toolbox, policy/decision-makers will be able to establish the position of the economy regarding Knowledge Economy frontier and to create a knowledge-friendly economic climate for better adaptation to the 4th Industrial revolution, Artificial Intelligence, robotics, smart factories, bio/nanotechnologies and many other concepts related to smart and sustainable economic growth. Research structure First Chapter: Introduction – general information, needs, objectives, development of research, objectives, methodology, expectations; Second Chapter: Concepts and definitions – describing relevant knowledge methodology and the structures of the economic model: Knowledge Economy, Knowledge Triangle, Triple Helix, and Smart Specialization; Third Chapter: Correlations and synergy – analyzing the knowledge ecosystems: university-science, research technology, business-innovation, government-administration, and clusters-community; Fourth Chapter: Measurement and indicators – outputs, outcomes, action plan, perspectives of cooperation, and lesson learned; Fifth Chapter: Impact – productivity, macro-economy, public policy, society, and international relations; Sixth Chapter: Conclusions – results, findings, perspectives. Knowledge Economy Pyramid

Knowledge Economy Pyramid Knowledge Economy Pyramid model is a catalyst of knowledge ecosystems from education, research, technology, business, innovation, government and local communities, capable to create a collaborative environment with synergy effect: transforming knowledge value in increasing productivity and competitiveness. The model is the result of a research project developed by researcher Octavian Serban within Korea Institute for International Economic Policy, in June 2018. The need Global economy landscape needs a new economic model where knowledge is used as a valuable resource to stimulate innovation, creativity, and entrepreneurship in order to increase productivity and competitiveness for sustainable growth as a premise for social welfare. The policymakers have to design the new public policy for productivity and competitiveness considering the Knowledge Economy frontier and to establish the institutional capacity to manage the knowledge perspective of development. Considering the actual changes and trends at the global level, in the context of the competition intensification and adaptability to the new challenges, also the necessity for flexibility and fast response to the market needs, there is necessary to underline the role of productivity in the economic processes. General context Increasing productivity is a requirement for improving the activity, reducing costs, increase quality and generate profit. Nowadays, the socio-economic environment is much more complex in the context of diminishing the availability of natural resources, occurring financial crisis, increasing social disparities, increasing unemployment, financial instability and many other factors with significant influence over the growth rate. In this climate, productivity is a differentiator factor on the market; it is a contributor to the economic growth and key driver for increasing the standard of life. In this context, all the actors involved in the global economy want to find the appropriate solution, tools, methodology to boost productivity in order to be more competitive. At this point, we have to find out if the value added of knowledge could foster innovation, creativity, and entrepreneurship as endogenous drivers for growth. In other words, considering that the level of research in establishing the economic value of knowledge is quite advanced, it is important to know if these findings could help for creating a new model of development were the resulted synergy to be an accelerator for obtaining the maximum value of knowledge. The assumption The assumption of the current research is that a new economic model based on the economic value of knowledge to increase productivity and competitiveness could be created according to the evolution of knowledge analysis around the world. More than designing and describing this newly created framework, it is important to find out the degree of adaptability on the scale, scope, and geopolitical particularities. In a single word, we need to find out if the model could be replicated. Scope and objectives Productivity is a complex concept, not limited just to the physical production perspective: obtaining more outputs than inputs. This concept is influenced by the various factors which concur to increasing competitiveness and the most important one is technological advancement. At this point, the target of current research work is not to analyze the exogenous factors of production, such as capital or labor, or to enter into a sophisticated theoretical analysis of the market changes. The focus of this study is to understand better the endogenous drivers for progress or advancement, especially those related to Total Factor Productivity. Moreover, this research is dedicated to the in-depth analysis of value creation from the intensive use of knowledge. From this perspective, knowledge is considered a valuable resource and it is important to establish an appropriate methodology to create the optimal process for transforming knowledge in innovation, creativity, and entrepreneurship in order to increase productivity and competitiveness. From the socio-economic perspective, it is important to find out how to obtain more value from the use of knowledge and how this valuable resource could contribute to the sustainable growth. In order to determine the value of knowledge, first, we have to understand the real concept in its complexity with the distinction between tacit knowledge and explicit knowledge. Then, we have to understand the key drivers for knowledge methodology and have to define the actors, the process of knowledge creation and the tools for managing knowledge. In this context, could we determine specific tools to measure knowledge? This is another objective of this research work, to determine the effectiveness of the instruments and methodologies for knowledge assessment. There are many studies related to the analysis of knowledge from the economic perspective. The point of current research is to create an effective framework to generate a knowledge environment where different stakeholders are interacting in order to obtain maximum value from the use of knowledge. Considering this approach, it is important to find out if the collaboration of diverse knowledge ecosystems could generate more value of knowledge. The general objective of this research project is to design an effective and robust development model with an outstanding visual impact for creating a knowledge environment at the intersection of knowledge ecosystems generated by stakeholders, such as universities, research institutes, companies, industries, government and local communities. It is necessary to find out the synergy created from this environment, to determine the correlations, complementarities, and connections inside the framework. The scope of this development model is to transform the value of knowledge in innovation, creativity, and entrepreneurship for a specific purpose: increasing productivity and competitiveness to generate sustainable growth with direct impact over the population wellbeing. Methodology, process This research is neither theoretical approach nor a very traditional one with focusing only statistics, data analysis or regression models. Considering these basic analysis instruments, the study aims to find the most appropriate tools for knowledge assessment in the context of establishing the Knowledge Economy. Of course, there will be analyzed data from secondary sources, there will be determined trends, benchmarks, challenges, and risks, but there will be also performed an assessment process of the reliability of these determinations in order to succeed to understand better the real value of knowledge. The challenge is that the key drivers associated with progress, consequently Total Factor Productivity, generate a residual variable in production function which is very difficult to be measured; at the same time, most of the knowledge is not tangible. This research study is proposing to go deeper and to understand how intangible factors could contribute to the economic growth. From the perspective of adapting the research activity to the concrete needs, all the findings in this paper will be related to socio-economic reality. At this point, the study is intending to develop a practical example to test the robustness and effectiveness of the new model in real life. Regarding this aspect, the value proposition is to create an institutional capacity able to manage the new model at the national level. At the same time, the aim is to find out if the new model could be adapted to different economies, depending on the development level, geopolitical particularities, and socio-economic culture. Expectations The final result of the project is intending to be a toolkit for policy/decision-makers capable to be used in order to design a productivity and competitiveness policy adapted to the requirements of the Knowledge Economy. There will be provided instruments, methodologies, action plans necessary to take action in order to stimulate innovation, creativity, and entrepreneurship for increasing productivity and competitiveness. By the use of this toolbox, policy/decision-makers will be able to establish the position of the economy regarding Knowledge Economy frontier and to create a knowledge-friendly economic climate for better adaptation to the 4th Industrial revolution, Artificial Intelligence, robotics, smart factories, bio/nanotechnologies and many other concepts related to smart and sustainable economic growth. Research structure First Chapter: Introduction – general information, needs, objectives, development of research, objectives, methodology, expectations; Second Chapter: Concepts and definitions – describing relevant knowledge methodology and the structures of the economic model: Knowledge Economy, Knowledge Triangle, Triple Helix, and Smart Specialization; Third Chapter: Correlations and synergy – analyzing the knowledge ecosystems: university-science, research technology, business-innovation, government-administration, and clusters-community; Fourth Chapter: Measurement and indicators – outputs, outcomes, action plan, perspectives of cooperation, and lesson learned; Fifth Chapter: Impact – productivity, macro-economy, public policy, society, and international relations; Sixth Chapter: Conclusions – results, findings, perspectives.