This document discusses the development of a composite index called the Index of Knowledge Economy (IKE) to measure knowledge economy maturity across countries. It proposes a framework with four factors - fundamental, effectiveness, efficiency, and innovation - that capture different aspects of a knowledge economy. Countries are ranked into five stages of maturity. The index methodology aggregates over 20 indicators and 168 variables to calculate sub-index scores in each factor, with the weights on factors varying by maturity stage. The overall index score is the weighted sum of sub-index scores. An appendix shows example rankings of countries by their IKE scores and maturity stages in 2010.
Theoretical Background of NIAT written by Jeongwon YoonJeongwon Yoon
This journal was published in 2009 by examining criticality of key success factor for national e-Strategy along the status of economic development. The theory became the core concetps of NIAT toolkit for measuring ICT maturity and readiness of governments
Presentation by Christian Kastrop on 'Productivity and Public Sector Performa...OECD Governance
This presentation by Christian Kastrop, Director, Policy Studies Branch, Economics Department, OECD, was made at the joint meeting of the Senior Budget Official Performance and Results Network and the Public Employment and Management Expert meeting on 26 November 2015. For further information, please see http://www.oecd.org/gov/pem/.
Ethiopia’s Manufacturing Industry Opportunities, Challenges and Way Forward: ...CrimsonpublishersNTNF
Ethiopia’s Manufacturing Industry Opportunities, Challenges and Way Forward: A Sectoral Overview by Tekeba Eshetie in Food science journal_ Nutrition and Food open access journal
Theoretical Background of NIAT written by Jeongwon YoonJeongwon Yoon
This journal was published in 2009 by examining criticality of key success factor for national e-Strategy along the status of economic development. The theory became the core concetps of NIAT toolkit for measuring ICT maturity and readiness of governments
Presentation by Christian Kastrop on 'Productivity and Public Sector Performa...OECD Governance
This presentation by Christian Kastrop, Director, Policy Studies Branch, Economics Department, OECD, was made at the joint meeting of the Senior Budget Official Performance and Results Network and the Public Employment and Management Expert meeting on 26 November 2015. For further information, please see http://www.oecd.org/gov/pem/.
Ethiopia’s Manufacturing Industry Opportunities, Challenges and Way Forward: ...CrimsonpublishersNTNF
Ethiopia’s Manufacturing Industry Opportunities, Challenges and Way Forward: A Sectoral Overview by Tekeba Eshetie in Food science journal_ Nutrition and Food open access journal
A SOLUTION TO THE DILEMMA BETWEEN R&D EXPANSION AND THE PRODUCTIVITY DECLINE:...IJMIT JOURNAL
As a consequence of the two-faced nature of information and communication technology (ICT), a majority of ICT leaders have been confronting the critical problem of a dilemma between R&D expansion and productivity decline in the digital economy. However, Amazon has been able to accomplish a skyrocketing increase in R&D and market capitalization. Finland has also accomplished balanced advancement not only of welfare but also economic resurgence. This paper attempted to elucidate the miracle of two ICT leaders. By means of a comparative empirical analysis of respective development trajectories, the sources of their success were analyzed thereby the comparative advantage and disadvantage of each respective trajectories supportive to find a practical solution to the critical problem of a dilemma were identified. The sources of both successes can be attributed to harnessing the vigor of soft innovation resources from the marketplace. However, contrary to Amazon’s complementary use, Finland has depended on substitutionary use. While this approach contributes to easy resurgence, it casts a shadow to the innovative growth in the future. An insightful suggestion regarding balanced sustainable growth by cross learning was thus provided.
Information and communication technologies and their effect on economic growt...Alex Thurman
A research paper written for ECON 322: Global Economy: Trade and Development. In this paper, I discuss the affects of Information and Communication Technologies on economic growth. Specifically, I look at how ICTs have been used in Africa and Singapore to develop and stabilize their economies.
Apresentação em inglês, do diretor do Centro de Desenvolvimento da OCDE, Mario Pezzini, sobre as perspectivas de desenvolvimento global 2013 e velocidade das políticas industriais num mundo em mudança. Apresentação mostrada na “Conferência Internacional sobre Sustentabilidade e Promoção da Classe Média”, ocorrida em 25 de setembro de 2013. Veja mais na matéria: http://ow.ly/poL9G
Accenture report "Accelerating Europe's comeback: Digital opportunities for competitiveness and growth released at the European Business Summit (EBS) on May 15, 2014
CONSEQUENCES OF THE DIGITAL ECONOMY: TRANSFORMATION OF THE GROWTH CONCEPTIJMIT JOURNAL
The digital economy is transforming the traditional concepts of economic growth.The recent reversal trend
in GDP growth of ICT leaders can be attributed to effective utilization of soft innovation resources in
Finland and adherence to traditional resources in Singapore.Confronting a productivity decline in the
digital economy, global information and communication technology (ICT) leaders are transforming
business models into those with uncaptured GDP creation. This can be attributed tothe harnessing soft
innovation resourcesagainst a productivity decline. This in turn activates a self-propagating function and
induces supra-functionality beyond economic value corresponding to a shift in people’s preferences. It also
contributes to removingstructural impediments in GDP growth.Empirical analyses utilizing the
development trajectories of 500 global ICT firms and also world ICT leadersFinland and Singapore
demonstratedthese hypothetical views andprovided an insightful suggestion as to overcome aproductivity
decline in the digital economy.
A review on a thesis, titled The Impact Of Information Technology On Producti...Ukam John Victor
The power point presentation reviewed a mater's thesis as written by AHMAD SOBHANI. LULEÅ UNIVERSITY OF TECHNOLOGY, 2008. and reviewed by VICTOR JOHN UKAM
Aon Hewitt 6th European HR Barometer Executive Summary (2011)Inspiring Benefits
Sexta edición de la encuesta realizada por Aon Hewitt (división de consultoría y soluciones de outsourcing de recursos humanos de Aon Corporation) con el EChr (European Club for human resources) entre responsables de recursos humanos europeos.
Next Generation National Broadband Network development - A ppp for an open ac...Mohamed Bouanane
As many countries seek to introduce greater competition there may be valuable lessons to be drawn from applying open access policies to next generation broadband infrastructure with partial public ownership or financed by utilities (e.g. backbone fibre associated with transport or electricity grids). Therefore, governments and regulators need to consider such policies – especially where there is insufficient competition – along with a public-private partnership to enhance capacity; speed, QoS and decrease costs so that the entire economy can continue to fully leverage its potential.
Embarking on a journey into the global knowledge economy Mohamed Bouanane
Current trends, whilst important to observe, by no means define a universal destiny for all countries. It is evident from the benchmark study that the information society is on the tipping-point – knowledge is becoming as ubiquitous as data and information has become today. It is unsafe to follow an existing policy, even good policy, because there is no universal destiny for all countries; rather build a unified and convergent strategy that takes into account the country’s own strengthens and weaknesses and seeks to exploit the synergistic combinatorial effects of many sectors working together in harmony to achieve growth and well-being for all citizens. Though far from a universal destination for all countries; the zenith of current holistic thinking is best portrayed by South Korea, it represents the ultimate target to emulate (not to copy) and exceed.
Most countries are seeking to position themselves in the predicted future global knowledge economy. Are they going about it the (same) right way? Are they all trying to win the same race? If so surely the majority of countries will be disappointed since only few countries will be in the top of ranking.
The education system is the main enabler providing knowledgeable human capital for all the sectors. A modern, effective and efficient educational system is vital to the society which fosters economic competitiveness, social development, and citizens’ well-being while also enhancing the country’s growth and employment prospects.
Therefore, the development of the human capital, skills and qualified labor force – through education and long life training – are the foundation of well positioned knowledge-based economy.
The workforce has to be highly skilled to fit the labor market requirements and be efficient and innovative in work. Graduates should be able to successfully compete in a globalized knowledge economy.
A SOLUTION TO THE DILEMMA BETWEEN R&D EXPANSION AND THE PRODUCTIVITY DECLINE:...IJMIT JOURNAL
As a consequence of the two-faced nature of information and communication technology (ICT), a majority of ICT leaders have been confronting the critical problem of a dilemma between R&D expansion and productivity decline in the digital economy. However, Amazon has been able to accomplish a skyrocketing increase in R&D and market capitalization. Finland has also accomplished balanced advancement not only of welfare but also economic resurgence. This paper attempted to elucidate the miracle of two ICT leaders. By means of a comparative empirical analysis of respective development trajectories, the sources of their success were analyzed thereby the comparative advantage and disadvantage of each respective trajectories supportive to find a practical solution to the critical problem of a dilemma were identified. The sources of both successes can be attributed to harnessing the vigor of soft innovation resources from the marketplace. However, contrary to Amazon’s complementary use, Finland has depended on substitutionary use. While this approach contributes to easy resurgence, it casts a shadow to the innovative growth in the future. An insightful suggestion regarding balanced sustainable growth by cross learning was thus provided.
Information and communication technologies and their effect on economic growt...Alex Thurman
A research paper written for ECON 322: Global Economy: Trade and Development. In this paper, I discuss the affects of Information and Communication Technologies on economic growth. Specifically, I look at how ICTs have been used in Africa and Singapore to develop and stabilize their economies.
Apresentação em inglês, do diretor do Centro de Desenvolvimento da OCDE, Mario Pezzini, sobre as perspectivas de desenvolvimento global 2013 e velocidade das políticas industriais num mundo em mudança. Apresentação mostrada na “Conferência Internacional sobre Sustentabilidade e Promoção da Classe Média”, ocorrida em 25 de setembro de 2013. Veja mais na matéria: http://ow.ly/poL9G
Accenture report "Accelerating Europe's comeback: Digital opportunities for competitiveness and growth released at the European Business Summit (EBS) on May 15, 2014
CONSEQUENCES OF THE DIGITAL ECONOMY: TRANSFORMATION OF THE GROWTH CONCEPTIJMIT JOURNAL
The digital economy is transforming the traditional concepts of economic growth.The recent reversal trend
in GDP growth of ICT leaders can be attributed to effective utilization of soft innovation resources in
Finland and adherence to traditional resources in Singapore.Confronting a productivity decline in the
digital economy, global information and communication technology (ICT) leaders are transforming
business models into those with uncaptured GDP creation. This can be attributed tothe harnessing soft
innovation resourcesagainst a productivity decline. This in turn activates a self-propagating function and
induces supra-functionality beyond economic value corresponding to a shift in people’s preferences. It also
contributes to removingstructural impediments in GDP growth.Empirical analyses utilizing the
development trajectories of 500 global ICT firms and also world ICT leadersFinland and Singapore
demonstratedthese hypothetical views andprovided an insightful suggestion as to overcome aproductivity
decline in the digital economy.
A review on a thesis, titled The Impact Of Information Technology On Producti...Ukam John Victor
The power point presentation reviewed a mater's thesis as written by AHMAD SOBHANI. LULEÅ UNIVERSITY OF TECHNOLOGY, 2008. and reviewed by VICTOR JOHN UKAM
Aon Hewitt 6th European HR Barometer Executive Summary (2011)Inspiring Benefits
Sexta edición de la encuesta realizada por Aon Hewitt (división de consultoría y soluciones de outsourcing de recursos humanos de Aon Corporation) con el EChr (European Club for human resources) entre responsables de recursos humanos europeos.
Next Generation National Broadband Network development - A ppp for an open ac...Mohamed Bouanane
As many countries seek to introduce greater competition there may be valuable lessons to be drawn from applying open access policies to next generation broadband infrastructure with partial public ownership or financed by utilities (e.g. backbone fibre associated with transport or electricity grids). Therefore, governments and regulators need to consider such policies – especially where there is insufficient competition – along with a public-private partnership to enhance capacity; speed, QoS and decrease costs so that the entire economy can continue to fully leverage its potential.
Embarking on a journey into the global knowledge economy Mohamed Bouanane
Current trends, whilst important to observe, by no means define a universal destiny for all countries. It is evident from the benchmark study that the information society is on the tipping-point – knowledge is becoming as ubiquitous as data and information has become today. It is unsafe to follow an existing policy, even good policy, because there is no universal destiny for all countries; rather build a unified and convergent strategy that takes into account the country’s own strengthens and weaknesses and seeks to exploit the synergistic combinatorial effects of many sectors working together in harmony to achieve growth and well-being for all citizens. Though far from a universal destination for all countries; the zenith of current holistic thinking is best portrayed by South Korea, it represents the ultimate target to emulate (not to copy) and exceed.
Most countries are seeking to position themselves in the predicted future global knowledge economy. Are they going about it the (same) right way? Are they all trying to win the same race? If so surely the majority of countries will be disappointed since only few countries will be in the top of ranking.
The education system is the main enabler providing knowledgeable human capital for all the sectors. A modern, effective and efficient educational system is vital to the society which fosters economic competitiveness, social development, and citizens’ well-being while also enhancing the country’s growth and employment prospects.
Therefore, the development of the human capital, skills and qualified labor force – through education and long life training – are the foundation of well positioned knowledge-based economy.
The workforce has to be highly skilled to fit the labor market requirements and be efficient and innovative in work. Graduates should be able to successfully compete in a globalized knowledge economy.
The BMC_DEISI is a composite index that aggregates a large number of published indicators reflecting various key factors of the information society and digital economy. Such factors should be exhaustive and hence capture different aspects such as inputs (drivers), enablers (regulation and business environment), outcomes and outputs (performance), and impacts.
The conceptual framework is composed of five sub-indices with their sub-pillars: Human Capital; ICT Readiness; Governance; ICT Adoption and Usage; and Economic & Social Impact. It includes 58 indicators, two of them are indices, to populate the 5 pillars and 10 sub-pillars.
GAMIFICATION AND RESOURCE POOLING FOR IMPROVING OPERATIONAL EFFICIENCY AND EF...IAEME Publication
The authors of this article attempted combining the two methodologies of
gamification and resource pooling with a view to derive the maximum productivity from
the organization drawing certain significant commonalities. Another biggest motive
behind the authors for combining these two techniques is the fact that eCommerce is a
business vertical or a market place where people from all walks of life participate in
online purchases.
Financial Statements Analysis: Wealth Creation and Wealth Maximisation at Tel...iosrjce
Information technology revolution has gained popularity with companies’ success depending
virtually on the exchange of information. As a result, it has brought to consideration the need to create and
sustain technologies through which information can be transmitted and received, and the telecommunication
industry has been a major development. The research paper seeks to analyse the financial statements of a
telecom company to determine whether the company created wealth and suggesting ways to improve wealth
creation. Factors such as operational results, key economic variables and customer satisfaction were explored.
A questionnaire survey was employed to collect primary data. The questionnaires were distributed by hand and
some were emailed. Results of the survey were reported and customer suggestions and concerns were noted.
Secondary data was obtained from the financial statements as well as operational reviews available on the
website. Data was analysed and it was discovered that the company has revolved significantly and its
performance has improved over the years. However, it was highlighted that a lot still needs to be done.
Therefore recommendations to pave way for future studies have been suggested.
Competitiveness and competition commissionM S Siddiqui
BCC should go an advocacy plan to promote competitiveness and to advice on economic policy of the government on the basis of GCI and globally acclaimed 12 pillars competitiveness. Bangladesh is at factor-driven stage and needs focus more on macro economy, political, and legal stability with efficient basic infrastructure and lowering the regulatory costs of doing business.
Intersectoral linkages represent the economic and organizational interaction
between industries, characterizing the relationship to ensure the production process,
as well as the production and sale of products in the industry based on exchanging
equivalent costs and ensuring the same level of production profitability. Due to the need
to develop branches of the national economy, the authors suggest a methodological
approach to assessing the efficiency of the economic mechanism for establishing and
developing intersectoral linkages
Social Progress Index 2014 Methodological Reportsocprog
Methodological report of the Social Progress Index, detailing underlying format and structure, theory of construction, and the philosophical foundations of "social progress."
European Innovation Scoreboard (European Commission, 2003) .docxgitagrimston
European Innovation Scoreboard (European Commission, 2003)
This case has been written as a basis for class discussion rather than to illustrate effective or ineffective
managerial or administrative behaviour. It has been prepared from a variety of published sources, as indicated,
and from observations.
Introduction
In a response to increased competition and globalisation the European Council argued for increased and
enhanced efforts to improve the Union's performance in innovation. In March 2000 in the picturesque city of
Lisbon the Union set itself the goal of becoming the most competitive and dynamic, knowledge-based economy
in the world within the next decade. Fine words one may say, but precisely how does one set about achieving
this laudable goal? A strategy was developed and presented in Stockholm in March 2001. The strategy was to
build on the economic convergence that had been developed over the past 10 years within the EU single market
and to coordinate an open method' of developing policies for creating new skills, knowledge and innovation. To
support this approach the European Commission stated that there was a need for an assessment of how member
countries were performing in the area of innovation. The idea of a 'Scoreboard' was launched to indicate the
performance of member states. This would be conducted every year as a way of assessing the performance of
member countries. It is essentially a benchmarking exercise where the European Union can assess its
performance against other countries, most notably Japan and the United States.
This is an extremely ambitious project to try to assess innovative ability. There have been many studies over the
past two decades that have tried to identify the factors necessary for innovation to occur (see Table I.6). and
while many factors have been identified many of these are necessary but not sufficient in themselves. Moreover,
some governments have attempted to develop `innovation tool-kits and scorecards' to try to help firms in their
own countries to become more innovative (UK Department of Trade and Industry). Most of these have not been
successful. This ambitious project by the European Union is full of limitations and is generally regarded as
over-simplistic. This is largely because the economic conditions of the member countries are so very different
and all have a wide variety of strengths and weaknesses. None the less, in order to assess where the European
Union should target help and the precise type of help required by each member it is necessary to analyse the
innovative performance of countries. The scoreboard is an initial attempt at a very challenging exercise.
The Innovation Scoreboard
See: http://www.proinno-europe.eu/inno-metrics/page/43-comparison-between-us-and-japan
The Innovation Scoreboard is designed to complement the structural indicators. These are things like education
systems, financial systems for rais ...
One of the best ways to learn a concept is to teach a concept, and i.docxcarlibradley31429
One of the best ways to learn a concept is to teach a concept, and in this assignment it will be necessary for the learner to understand and explain the concepts from
Modules 1
and
2
in a 7–10-slide PowerPoint presentation. The Internet will be a great resource for completing this assignment because the learner can use keyword phrases to pull the specifics needed to cover the topics and complete the assignment.
You have been asked to create a PowerPoint presentation to train a group of new employees for Future Trends Financial Firm on key concepts of emerging markets. Include the following in your presentation:
Identify and explain key concepts of emerging technologies, highlighting their use and availability for emerging and developed markets.
Define and describe common industry concepts including: institutional voids, business groups, technological capabilities, changing income distribution, and bottom of the pyramid. Please be sure that the correlation between concepts and various markets is appropriate.
Develop a 7–10-slide presentation in PowerPoint format, utilizing at least two scholarly sources. Apply APA standards to the citation of sources.
Make sure you write in a clear, concise, and organized manner; demonstrate ethical scholarship in accurate representation and attribution of sources; display accurate spelling, grammar, and punctuation.
Information from Module 1:
In
Module 1
, you will begin your journey into understanding the concept of EMs. This module’s discussion question and assignment are both designed to help in building the foundation knowledge of understanding EMs.
What is an EM? According to Investopedia (n.d.), an EM is, “A nation's economy that is progressing toward becoming advanced, as shown by some liquidity in local debt and equity markets and the existence of some form of market exchange and regulatory body” (para. 1).
EMs surfaced in the 1970s as
less developed economies
. Countries that are considered EMs possess certain distinguishing traits. Some of the common traits are:
Demanding culture
High rates of immigration
Fragmented market
Growing youthful population
Investors are shifting their investments to EMs because of their potential long-term growth rate (Johnston, 2011). One of the main reasons EMs are rapidly growing is due to the countries' visible economic advancements. According to EPFR Global, a fund tracking company, investors invested more than $50 billion into EMs in 2012 (Bloomberg Businessweek, 2013).
Investopedia. (n.d.).
Emerging market economy
. Retrieved from
http://www.investopedia.com/terms/e/emergingmarketeconomy.asp
Johnston, M. (2011, November 23).
5 factors to consider in choosing an emerging markets ETF
. Retrieved from
http://seekingalpha.com/article/309867-5-factors-to-consider-in-choosing-an-emerging-markets-etf
Bloomberg Businessweek. (2013, January 31).
The top 20 emerging markets
. Retrieved from
http://images.businessweek.com/slideshows/2013-01-31/the-top-20-emergi.
This paper discusses the Irish economy’s recent growth performance and considers its medium-and-long-term prospects for growth. A range of policy reforms to increase the economy’s long-run potential output are identified. The best way to sustain productivity growth is to increase investment in education and skills, particularly early years learning; to increase investment in the production, diffusion and use of new ideas, and to increase investment in productivity enhancing infrastructure.
INFORMATIZATION LEVEL ASSESSMENT FRAMEWORK AND EDUCATIONAL POLICY IMPLICATIONSijmpict
Seeing the informatization as a measure of the educational policy, we propose an informatization level
assessment framework and introduce a composite indicator – Education Informatization Index, calculated
as a weighted sum by applying the Rank-Order Centroid method for weight designation. Although it is made up of only two main categories (Educational Policy Implementation subindex and Educational Policy Creation subindex) and a total of six individual indicators, it captures well all the socio-political flows in the educational sphere in the Republic of Macedonia in the past five-year period. Namely, a slight decline of the value of the Education Informatization Index can be observed in 2013 in comparison to 2012, and in
2016 in comparison to 2015. Whereas only the value of the implementation subindex suffered in the first case, the value of the creation subindex suffered, as well, in the latter. Having in mind that policymakers can assess the improvement of a country over time, the methodology and the results can aid in making knowledgeable decisions or in establishing greater commitment to incorporating ICT into the education
system.
Similar to IKE - Index of Knowledge Economy and Maturity Model (20)
Unleashing Potential in the Age of Digital Transformation for Thriving Organi...Mohamed Bouanane
In the age of AI and today's fast-paced interconnected world and rapidly evolving business landscape, digital transformation is no longer a choice but a strategic imperative for organizations seeking to stay ahead of the competition.
Indeed, organizations face increasing pressure to adapt and harness the power of data, analytics, and digital transformation to be the most effective. With the advent of artificial intelligence (AI), the potential for enhancing operational efficiency, boosting productivity, and delighting customers and citizens has never been greater. Yet, many business and public leaders grapple with understanding where to start and how to measure the impact of these cutting-edge technologies.
Our comprehensive article, "Unleashing Potential: Levelling-up, Data Governance and Generative AI" combines five essential themes to provide a complete guide for organizations seeking to tap into their latent potential and excel in the age of data and AI.
This article explores the alchemy between digital transformation, data governance and intelligence, and the adoption of AI to reinvent organizations, deliver innovative services and create value for all, understanding the subtleties of these converging forces.
Libérer le Potentiel à l'Ère de la Transformation Numérique pour des Organisa...Mohamed Bouanane
À l'ère de l'Intelligence Artificielle (IA) et dans le monde interconnecté et à l'évolution hyperrapide d'aujourd'hui, la transformation numérique n'est plus un choix mais un impératif stratégique pour les organisations qui cherchent à devancer la concurrence ou à rendre des services à forte valeur ajoutée pour leurs clients ou leurs administrés.
En effet, les organisations sont de plus en plus sous pression pour s'adapter et exploiter la puissance des données, de l'analytique et de la transformation numérique afin d’améliorer leur efficacité au quotidien. Avec l'avènement de IA, le potentiel d'amélioration de l'efficacité opérationnelle, d'augmentation de la productivité et de satisfaction des clients et citoyens est plus grand que jamais. Pourtant, de nombreux dirigeants d'entreprises et du secteur public peinent à comprendre par où commencer et comment mesurer l'impact de ces technologies de pointe.
En somme, cet essai explore l’alchimie entre la transformation numérique, la gouvernance et l’intelligence des données, et l’adoption de l’IA pour réinventer les organisations, fournir des services innovants et créer de la valeur pour tous, en comprenant les subtilités de ces forces convergentes.
Overall Covid Performance Index - Case study for European countries v210206Mohamed Bouanane
Many generalised opinions and flawed studies have been published in mainstream media and social networks about which countries have successfully tackled the Sars-CoV-2 pandemic, with little or no scientific evidence.
Thus, we design and publish the BMC' Overall Covid Performance Index OCPI, which aims to highlight the performance of the fight against the pandemic and its impacts across countries.
The BMC' OCPI is based on six indicators related to the COVID-19 pandemic and seven economic variables, all publicly available.
The case study includes twenty-seven European countries. Luxembourg occupies the first place in the overall ranking, closely followed by Denmark, itself ahead of Norway. Finland and Ireland rank first in the Health and Economy sub-indices, respectively.
The study shows that small and wealthy countries are performing better than others. In addition, the richest and wealthiest countries are struggling and lagged at the bottom of the rankings.
Covid-19 Data driven regional comparison in France - v210128Mohamed Bouanane
The study investigates how mortality due to Covid-19 vary according to the territories and the effect of age-categories in France, based on a composite index combining two dimensions (ratios and growth rates) and four indicators (hospatilisations, admissions to ICU, mortality and infections).
We calculate the ratios (hospitalization, ICU admission, and Sars-Cov-2 infection) along with its average composite growth rate, by applying age-specific data to the population of each region.
The obtained results – significant variability – suggest that the elderly population has unequal chance facing the Covid-19 across the regions, although the progression of the disease has followed almost the same trend everywhere for all age-categories during the analysed periods (01-07 and 15-21 January).
Data driven comparison of the covid-19 progression in france - v201231Mohamed Bouanane
This study has showed that the hypothesis of the development of herd immunity is real and would be more important in the territories that were most severely affected in the first wave.
Globally, a slower progression of the Covid-19 in terms of hospitalizations, intensive care admissions and mortality during the second wave. This slow progression is believed to be due to several factors such as improved hospital treatment protocols which could have contributed to the reduction in mortality, or the possible decrease in the virulence of new strains of the SARS-Cov-2 virus.
Data driven forecast of the covid-19 death toll v3Mohamed Bouanane
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
An estimation of the average, minimum and maximum ultimate death toll is given along with a predicted date. The expected ultimate death toll is estimated based on both forms of Hubbert equation, i.e. the Parabola and the Linearization (where appropriate), while the predicted date is determined based on a data forecast using the composite growth rate function (geometric sequence).
يعتبر نظام التعليم عامل أساسي والمحفّز الرئيسي لتوفير
الرأس المال البشري الكفئ لجميع القطاعات. فيُعدُّ إنشاء
منظومة تربوية عصرية وكفئة وفعّالة، أمرا ضروريا
وحيويا لتطوير التنمية الاجتماعية، وتحسين آفاق النمو
وفرص العمل في البلاد، وتعزيز القدرة التنافسية للاقتصاد
الوطني، وتعميم الرفاه للمواطنين. وبالتالي فإن تنمية
الموارد البشرية – من خلال التعليم والتكوين والتدريب
طوال الحياة المهنية – هي الأساس لكلّ تطوّر اجتماعي
وتنمية اقتصادية وبناء مجتمع المعرقة. إذ يجب أن تكون
القوى العاملة مؤهلة ومن ذوي المهارات والكفاءات العالية
والملائمة لمتطلبات سوق الشغل. وينبغي أن تكون أيضا
فعّالة ومبدعة وقادرة على المنافسة بنجاح في اقتصاد
المعرفة العالمي.
فمن بين أهداف إصلاح المنظومة التربوية والتعليمية –
الذي يجب أن يشمل جميع المستويات وأن يكون في علاقة
مع الأولويات الاجتماعية والاقتصادية – المساهمة الفعّالة لا
فحسب في تشكيل المعارف، بل أيضا وخاصة في تكوين
المواطنين ذوي التفكير التحليلي والنقدي لمجابهة التطرف
والأطروحات الرجعية، ونبذ العنف، ومكافحة التجنيد لصالح
الثقافات الظلامية.
Strategy for a sustainable digital economy - ArabicMohamed Bouanane
يشير الاقتصاد الرقمي للأنشطة الاقتصادية والاجتماعية والثقافية التي تعتمد على البنية التحتية الرقمية، والممكَّنة من قبل تقنيات الإعلامية لإنشاء وتوزيع المنتجات والخدمات ذات القيمة المضافة على شبكة الإنترنت. وبالتالي، تُعدّ الملكية الفكرية ومهارات القوى العاملة الموارد الرئيسية في الاقتصاد الرقمي. فيجب على الاستراتيجية والسياسات المرافقة ذات الصلة بالاقتصاد الرقمي أن تأخذ في الاعتبار جميع هذه المكونات بطريقة متقاربة. إذ لا يمكن أن يحقق الاقتصاد الرقمي والمعرفي أية نتائج من دون بنية أساسية تكنولوجية ذات مستوى عال من التطور. وكما ينبغي تتطوير الأعمال الإلكترونية (e-business) لإنتاج السلع والتي ترتكز أساسا على الخدمات والمعلومات. ونركز في هذا السياق على بعض المجالات التي تمثل العمود الفقري لقطاع الأعمال الإلكترونية في الاقتصاد الرقمي، مثل المعاملات الحكومية، والصحة، والتعلّم، والتجارة، والمحتوى الرقمي.
Le monde arabe dans l’économie mondiale du savoirMohamed Bouanane
Le salut des pays arabes passe certainement par le développement du savoir et de l'intelligence. Pour réussir, il faut impérativement de la volonté, une vision ambitieuse et des objectifs réalistes et atteignables, ainsi que la participation et la persévérance des citoyens. Cela devrait se traduire pour chaque pays par la mise en œuvre d’une stratégie unifiée et d’une planification convergente qui prennent en compte ses forces et ses faiblesses selon une approche holistique et globale. Cette stratégie doit chercher à exploiter les effets synergiques combinatoires d'un grand nombre de secteurs économiques qui coopèrent ensemble en harmonie pour créer les conditions de décollage d'une croissance durable à forte valeur ajoutée et formatrice d'une prospérité équitable. Il est également urgent d’améliorer la qualité des résultats du système éducatif et donc la qualité de la formation des enseignants.
يُعتبر اقتصاد المعرفة مرحلة معينة من مراحل التنمية الاقتصادية، تعتمد على الأصول غير المادية، والقوى البشرية، والأنشطة المتعلقة بالتعليم، والعلوم والبحث، والابتكار، حيث يتم قياس الثروة الناتجة عن ذلك من خلال مدى إسهام هذه الأنشطة في الناتج القومي الإجمالي. وبطريقة مبسطة وذات معنى يمكننا أن نلخص ما سبق بما يلي: اقتصاد المعرفة هو الجمع بين التكنولوجيا والموارد البشرية ذوي المهارات العالية لإنتاج السلع والخدمات، وبالتالي تحقيق الرفاه.
أظهرت الدراسة المقارنة أن عديد الأمم، من جميع أنواع الهويات الثقافية والتوجهات السياسية، قد شرعت في رحلة إلى المستقبل وضمن العولمة – مستقبل يتعين تحديده بدرجة عالية من الدقة بالنسبة لكل بلد. فماذا وكيف ستكون نهاية الرحلة (إذا كان حقا هناك نهاية) للعالم العربي والاسلامي، أو كم سيتطلب المسار من تعديلات للوصول إلى مكانة مريحة ضمن الأمم؟
وسوف يكون النجاح من نصيب الدول التي تتبني استراتيجية شاملة ومتكاملة، تتمحور حول رؤية موحدة، حيث تمثل السياسات الوطنية الأدوات التي تحتاجها هذه الدول لصياغة المستقبل، وحيث يكون الناتج النهائي أكبر من مجموع أجزائه – (طرح) اقتراح قيم (مقترح ذو قيمة) وحقيقي لمجتمع المعرفة بأكمله.
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Agency Managed Advisory Board As a Solution To Career Path Defining Business ...
IKE - Index of Knowledge Economy and Maturity Model
1. Mohamed Bouanane – Director –
Strategic Management Consulting
February 23, 2014
While many existing Information and Knowledge
Society indices focus exclusively on technology, a
comprehensive composite index across all areas
and taking into account the key factors has not
been exhaustively defined. Developing a
comprehensive index, from scratch, to measure
the knowledge economy maturity and its impact
on the whole society is a complex task. The
adopted approach aggregates a large number of
known indicators reflecting various key factors of
the society and economy and regularly published
by different international organizations.
This approach aims to avoid creating new
indicators that might be difficult to collect, to
assess and to maintain, and will ensure data
comparability across countries. The indicators
should be exhaustive and hence capture different
aspects such as inputs (drivers), enablers
(business environment) and outputs
(performance). Moreover, a sensitivity analysis is
conducted to select the most appropriate weights
for the sub-indices.
IKE - Index of
Knowledge
Economy and
Maturity Model
2. IKE – Index of Knowledge Economy and Maturity Model
M. Bouanane 2
Measuring and comparing countries achievements is an important exercise to assess maturity
level and progress. It provides policy makers with useful statistics supporting the development
of evidence-based recommendations.
In Knowledge Economy, knowledge is the key resource (as both a tool and an economic good)
and hence must be continuously renewed and evolved. Codified knowledge can be taught and
transferred as opposed to tacit knowledge (know-how and experience) which economic value
comes from investing and sharing with others (colleagues and external partners if it is beneficial
to both sides). Thus, investing in and sharing knowledge is a cornerstone of the knowledge
economy. A major element is the influence of the new technologies on the creation of
knowledge. Information as such is a raw data used for generating knowledge through a
transformation and analysis process in which technology play a major role in making this
process easier and repeatable.
In that regards, the OECD has produced a composite indicator of “investment in knowledge”
made up of investment in R&D, investment in higher education, and investment in IT software.
Though it provides some interesting indicators, it is found, at this stage, insufficient to measure
and assess the Information and Knowledge Society as a whole. The Knowledge Economy Index
(KEI) published by World Bank has two versions1
. The basic version captures the overall
readiness of a country for the knowledge economy. It summarizes each country’s performance
on twelve (12) variables (+2 overall economic performance) corresponding to 4-pillar
framework: Education, ICT infrastructure, Innovation, and Economic & institutional regime. The
large KEI version consists of 109 variables divided into 8 functional cuts.
It can be noted that while many existing Information and Knowledge Society indices focus
exclusively on technology, a comprehensive composite index across all areas and taking into
account the key factors has not been exhaustively defined. Developing a comprehensive index,
from scratch, to measure the knowledge economy maturity and its impact on the whole society
is a complex task. The adopted approach aggregates a large number of known indicators
reflecting various key factors of the society and economy and regularly published by different
international organizations.
This approach aims to avoid creating new indicators that might be difficult to collect, assess and
to maintain, and will ensure data comparability across countries. The indicators should be
exhaustive and hence capture different aspects such as inputs (drivers), enablers (business
environment) and outputs (performance). Moreover, a sensitivity analysis is conducted to select
the most appropriate weights for the sub-indices.
1
Knowledge Assessment Methodology, World Bank (http://www.worldbank.org/kam).
3. IKE – Index of Knowledge Economy and Maturity Model
M. Bouanane 3
MATURITY MODEL FRAMEWORK
As there is no single index that has exhaustively measured the complexity of the overall
knowledge economy in a quantified manner, we suggest the use of a composite index that
allows for the grouping of several key performance indices and indicators into one single index,
capturing a variety of critical economic dimensions and societal parameters.
The proposed Knowledge Economy Maturity Model (KEMM – shown in Figure – I) is based on
four factors (categories of sub-indices or dimensions) applicable for all countries and a ranking
among five stages of maturity2
. The factors – each of which is measured by a selection of
indicators – are interrelated and form a coherent conceptual model. The model takes the stages
of maturity into consideration by assigning higher relative weights to the factors that are more
relevant for a knowledge economy given a particular stage of development.
Indeed, societies go through different stages of development and hence, the proposed model
reflects the increasing difficulty for the knowledge economy to move along a maturity path
(from Stage#1 to Stage#5) to reach an ultimate stage of development. The model is designed in
a way that the above mentioned factors will affect each country’s maturity in a different way
depending on the country’s development stage. In other words, we are establishing different
weights for the factors depending on the country maturity stage. Countries are then ranked
within each stage based on their scores.
The Figure – I highlights the mapping between the four factors and the respective weights for
each Maturity Stage. As well it depicts the evolution of the importance of each factor within the
composite index based on the evolution of the maturity stage (increasing or decreasing weight).
Figure – I: Knowledge Economy Maturity Model – Mapping Factors to Maturity Stages
2
Stages of maturity are: Stage-1: Basic economic development; Stage-2: Effectiveness-driven economy;
Stage-3: Transition from Effectiveness-driven to Efficiency-driven economy; Stage-4: Efficiency-driven
economy; Stage-5: Innovation-driven economy.
4. IKE – Index of Knowledge Economy and Maturity Model
M. Bouanane 4
COMPOSITE INDEX FRAMEWORK
The proposed composite IKE framework (Figure – II) is then organized into four factors grouping
the selected components – 21 indicators grouping 168 quantitative and qualitative variables.
These factors are defined as follows:
The ‘Fundamental factor’ (sub-index) includes those indicators that are most
important for societies in the first stage of development (e.g. Health & Education,
General infrastructure...).
The ‘Effectiveness factor’ (sub-index) includes those indicators that are most
important for societies promoting effectiveness through higher education, better
competition and technology transfer.
The ‘Efficiency factor’ (sub-index) includes those indicators that are most critical for
societies (called efficiency-driven economies) that are enhancing their processes
through efficient legal and regulation frameworks as well as high utilization of ICTs.
The ‘Innovation factor’ (sub-index) includes those indicators critical for innovation-
driven economies (e.g. R&D, Innovation, Business & Financial sophistication...).
Figure – II: Composite Index of Knowledge Economy (IKE) Framework
5. IKE – Index of Knowledge Economy and Maturity Model
M. Bouanane 5
Each sub-index score is averaging the different individual indicators of the same factor (refer to
Table – I). The weights (relative importance and impact) applied to individual indicators are
appropriately selected based on the indicators correlation and importance within each factor
(sub-index): a larger weight to heavily penalize countries that are badly performing. The same
method is applied to variables composing an indicator.
The overall index for each maturity stage is then the sum of weighted sub-indices. The weights
applied to each factor and used to calculate sub-indices' scores for each stage of maturity are
shown in Table – I. They are selected in a manner to express the difficulty and constraints in
growing from stage-1 to stage-5.
Table – I: Weighted Factors and Indicators
Factors Indicators Weight Stage 1 Stage 2 Stage 3 Stage 4 Stage 5
Fundamental
1. Health & Primary Education W1
W1-1 W2-1 W3-1 W4-1 W5-1
2. General Infrastructure W2
3. ICT Price Basket W3
4. Regulatory Environment W4
5. Economic Freedom W5
Effectiveness
6. Competition Environment W6
W1-2 W2-2 W3-2 W4-2 W5-2
7. Technology Adoption W7
8. Corporate Ethics & Accountability W8
9. Higher Education & Training W9
10. ICT Readiness W10
Efficiency
11. Government Efficiency W11
W1-3 W2-3 W3-3 W4-3 W5-3
12. Labor Market Efficiency W12
13. ICT Usage - Business W13
14. ICT Usage - Individual W14
15. ICT Usage - Government W15
16. Gender Equality W16
Innovation
17. Press Freedom W17
W1-4 W2-4 W3-4 W4-4 W5-4
18. Financial Market Sophistication W18
19. Business Sophistication W19
20. R&D Environment W20
21. Innovation Environment W21
6. IKE – Index of Knowledge Economy and Maturity Model
M. Bouanane 6
APPENDIX – KNOWLEDGE ECONOMY RANKING AND MATURITY
STAGES3
Index of Knowledge Economy Ranking and Maturity Stages 2010
Knowledge Economy Ranking and Maturity Stages (2010)
Country Stage 1 Stage 2 Stage 3 Stage 4 Stage 5
Overall IKE
Score Rank
Singapore 8,04 7,91 7,87 7,74 7,66 7,78 1
Sweden 7,80 7,77 7,76 7,73 7,71 7,73 2
Denmark 7,81 7,75 7,72 7,66 7,62 7,68 3
Finland 7,76 7,71 7,69 7,63 7,61 7,67 4
United States 7,73 7,68 7,65 7,60 7,58 7,65 5
Switzerland 7,74 7,68 7,67 7,62 7,60 7,65 6
Canada 7,60 7,50 7,45 7,36 7,29 7,40 7
Norway 7,47 7,42 7,41 7,36 7,33 7,36 8
Netherlands 7,52 7,43 7,37 7,28 7,22 7,34 9
New Zealand 7,59 7,47 7,40 7,28 7,19 7,33 10
Hong Kong SAR 7,60 7,45 7,40 7,25 7,17 7,31 11
Luxembourg 7,50 7,41 7,33 7,24 7,16 7,30 12
Iceland 7,49 7,40 7,41 7,31 7,26 7,30 13
Australia 7,52 7,40 7,34 7,23 7,14 7,28 14
Germany 7,37 7,28 7,22 7,13 7,09 7,21 15
United Kingdom 7,34 7,25 7,21 7,13 7,08 7,17 16
Japan 7,25 7,19 7,15 7,09 7,07 7,16 17
Austria 7,29 7,20 7,14 7,04 6,98 7,11 18
Ireland 7,22 7,11 7,04 6,93 6,85 7,00 19
France 7,14 7,05 6,99 6,90 6,84 6,96 20
Taiwan, China 7,04 7,00 6,99 6,95 6,92 6,95 21
Belgium 7,16 7,05 6,96 6,86 6,78 6,95 22
United Arab Emirates 7,08 6,95 6,88 6,74 6,63 6,78 23
Estonia 7,00 6,89 6,86 6,76 6,68 6,77 24
Israel 6,77 6,75 6,74 6,71 6,70 6,72 25
Korea, Rep. 6,87 6,78 6,73 6,65 6,60 6,71 26
Qatar 6,93 6,78 6,71 6,56 6,44 6,61 27
Cyprus 6,83 6,71 6,64 6,52 6,44 6,59 28
Malta 6,73 6,63 6,57 6,48 6,40 6,53 29
Malaysia 6,71 6,61 6,57 6,46 6,39 6,50 30
Chile 6,74 6,61 6,55 6,42 6,32 6,47 31
Czech Republic 6,63 6,55 6,50 6,41 6,35 6,46 32
Slovenia 6,64 6,54 6,50 6,40 6,34 6,44 33
Bahrain 6,71 6,56 6,50 6,36 6,24 6,38 34
Spain 6,59 6,47 6,40 6,28 6,20 6,35 35
Portugal 6,54 6,42 6,36 6,24 6,16 6,30 36
South Africa 6,25 6,23 6,21 6,19 6,16 6,20 37
Lithuania 6,41 6,29 6,26 6,15 6,07 6,18 38
Slovak Republic 6,36 6,26 6,20 6,10 6,01 6,14 39
Oman 6,39 6,26 6,21 6,08 5,99 6,12 40
3
The green color indicates the development stage the country has reached. Uncolored columns highlight
unclassified economies.