According to the Global Innovation Index (GII) in 2024, Switzerland was the most innovative country in the world, with an overall GII score of **** out of 100. Sweden ranked second, scoring ****, while the United States followed right behind.

The average for 2024 based on 38 countries was 47.55 points. The highest value was in Switzerland: 67.5 points and the lowest value was in Costa Rica: 28.3 points. The indicator is available from 2011 to 2024. Below is a chart for all countries where data are available.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

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The average for 2024 based on 9 countries was 33 points. The highest value was in Singapore: 61.2 points and the lowest value was in Laos: 17.8 points. The indicator is available from 2011 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 11 countries was 14.65 points. The highest value was in Rwanda: 19.7 points and the lowest value was in Niger: 11.2 points. The indicator is available from 2011 to 2024. Below is a chart for all countries where data are available.

Comparison of the 2005 original country ranking with those of the present study.

The graph shows China's share in global gross domestic product adjusted for purchasing-power-parity until 2024, with a forecast until 2030. In 2024, China's share was about 19.45 percent. China's global GDP share Due to the introduction of capitalist market principles in 1978, China's economic market began to show immense change and growth. China's real GDP growth ranged at 5.0 percent in 2024. China's per capita GDP is also expected to continue to grow, reaching 13,300 U.S. dollars in 2024. Comparatively, Luxembourg and Switzerland have some of the world’s largest GDP per capita with 141,100 U.S. dollars and 111,700 U.S. dollars, respectively, expected for 2025.China is the largest exporter and second largest importer of goods in the world and is also among the largest manufacturing economies. The country also ranges among the world's largest agricultural producers and consumers. It relies heavily on intensive agricultural practices and is the world's largest producer of pigs, chickens, and eggs. Livestock production has been heavily emphasized since the mid-1970s. China’s chemical industry has also seen growth with a heavy focus on fertilizers, plastics, and synthetic fibers. China's use of chemical fertilizers amounted to approximately 50.2 million metric tons in 2023. GDP composition in China Industry and construction account for less than 40 percent of China's GDP. Some of the major industries include mining and ore processing, food processing, coal, machinery, textiles and apparel, and consumer products. Almost half of China's output is dedicated to investment purposes. However, as the country tends to support gross output, innovation, technological advancement, and even quality are often lacking.

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers re-visited firms already interviewed during the ES to collect firms-level data on innovation and innovation-related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - To provide evidence on nature, role and determinants of innovation in emerging and developing countries; - To generate information that will be used to identify projects and develop policies to promote innovation; - To stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

The survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 990 successful interviews were performed. Business owners and top managers were interviewed from October-November 2013 and during June 2014.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a list of establishments interviewed for Bangladesh 2013 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

This work critically examines the emergence of a post-industrial economy in China as it continues to transform into a 21st century global leader. On August 15th, 2010, the Financial Times published an article stating that recently released figures from the International Monetary Fund show that China had surpassed Japan as the second-largest economy in the world and predicted that China will maintain its lead going forward . This is an astonishing feat for an emerging economy, as Japan had previously held the second-place position for over four decades. In recent years, China has outperformed other large emerging economies such as Brazil, Russia and India. As a result, it is important to examine China more closely and understand what is occurring within the country as it continues to grow and develop as a global leader. In the contemporary global environment, lasting economic advantage comes from attracting and retaining a talented and creative workforce. As China begins to transition from an industrial economy to a post-industrial economy, several factors including a more educated workforce, the development of domestic intellectual property and openness to a more diverse range of ideas and people are becoming more important. Against this backdrop, this report explores the emergence of a creative, service-driven, post-industrial economy in China by employing two methods of analysis developed by Richard Florida (2002). The first part of the analysis examines the changing occupational structure of China’s workforce. To execute this part of the analysis, we divide China’s workforce into the four occupational categories defined by Florida (2002): creative class, service class, working class and fishing, farming and forestry class. The second part of the analysis employs what are known as the “3Ts of economic development” to rank China’s regions according to their strengths in supporting a creative economy. The 3Ts of regional economic development include technology (high-tech employment and innovation), talent (education and skills), and tolerance (diversity and openness). The report explores China’s provincial-level regions and three of its four Municipalities, with a special interest in the dynamics and geography of the creative economy.

The average for 2024 based on 31 countries was 18.01 points. The highest value was in Mauritius: 30.6 points and the lowest value was in Angola: 10.2 points. The indicator is available from 2011 to 2024. Below is a chart for all countries where data are available.

Japan export data: Discover the economic powerhouse's top exports, major partners, and how technological innovation drives growth.

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers revisited businesses already interviewed during the ES to collect firm-level data on innovation and innovation related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - to provide evidence on nature, role and determinants of innovation in emerging and developing countries; - to generate information that will be used to identify projects and develop policies to promote innovation; - to stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

In Sudan, the survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 412 successful interviews were performed. Business owners and top managers were interviewed from June 2014 through December 2014.

The innovation dataset can be merged with Sudan 2014 Enterprise Survey dataset using the common id variable "idstd".

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a list of establishments interviewed for Sudan 2014 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers re-visited businesses already interviewed during the ES to collect firm-level data on innovation and innovation related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - to provide evidence on nature, role and determinants of innovation in emerging and developing countries; - to generate information that will be used to identify projects and develop policies to promote innovation; - to stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

In South Sudan, the survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 543 successful interviews were performed. Business owners and top managers were interviewed from June 2014 through December 2014.

The innovation dataset can be merged with South Sudan 2014 Enterprise Survey dataset using the common id variable "idstd".

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a list of establishments interviewed for South Sudan 2014 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

The U.S. currently enjoys a position among the world’s foremost innovative and scientifically advanced economies but the emergence of new economic powerhouses like China and India threatens to disrupt the global distribution of innovation and economic competitiveness. Among U.S. policy makers, the promotion of advanced education, particularly in the STEM (Science, Technology, Engineering and Mathematics) fields, has become a key strategy for ensuring the U.S.’s position as an innovative economic leader. Since approximately one third of science and engineering post-graduate students in the U.S. are foreign born, the future of the U.S. STEM educational system is intimately tied to issues of global competitiveness and American immigration policy. This study utilizes a combination of national education data, a survey of foreign-born STEM graduate students, and in-depth interviews of a sub-set of those students to explain how a combination of scientists’ and engineers’ educational decisions, as well as their experience in school, can predict a students’ career path and geographical location, which can affect the long-term innovation environment in their home and destination country. This study highlights the fact that the increasing global competitiveness in STEM education and the complex, restrictive nature of U.S. immigration policies are contributing to an environment where the American STEM system may no longer be able to comfortably remain the premier destination for the world’s top international students.

This dataset presents the results of a systematic literature review of the determinants related to innovation capability. Three main mechanisms evaluate this capacity: (1) Global Innovation Index published by the World Intellectual Property Organization; (2) Global Competitiveness Index 4.0; and (3) Furman et al., 2002. From previous work, 14 variables were identified as associated with these three mechanics used to assess the innovation capacity of a nation. These variables are (1) Openness to international trade and investment; (2) the percentage of R&D funded by private industry; (3) full-time R&D personnel; (4) strength of protection for Intelectual Property; (5) the percentage of R&D performed by universities; (6) utility models by origin; (7) gross expenditure on R&D, % GDP; (8) university-industry R&D collaboration; (9) expenditure on education, % GDP; 10) QS university ranking, top 3; (11) state of cluster development and depth; (12) co-inventions (co-creations); (13) scientific and technical articles (citations of patents in collaboration between university and industry); and (14) trademarks applications.

This literature review comprises part of previous work published on “(DATASET) INNOVATION CAPABILITY: DETERMINANTS RELATIONSHIPS”, Mendeley Data, V2, doi: 10.17632/dj4xnpgsnm.2.

According to Cognitive Market Research, the global IT spending market size is USD 4251.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 4.20% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 1700.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.4% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1275.3 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 977.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 212.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.6% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 85.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.9% from 2024 to 2031.

Increasing AI Investments to Drive the Market Growth

Growth in overall IT spending is being supported by investments in AI more widely, which is projected to drive the market growth during the forecast period. Businesses' investments in projects aimed at optimising organisational efficiency are mostly to blame for this. Furthermore, AI may have an even more profound and quick economic impact on IT spending which is propelling the market growth. Businesses in both established and emerging industries stand to gain from the fusion of human and machine intelligence. AI productivity advances have the potential to increase business profits and wages. By taxing greater salaries of both employees and businesses, it might even strengthen government finances. The innovation of artificial intelligence (AI) may lead to shifts in market leadership, global economic growth, and investment opportunities as organisations throughout the world implement the technology.

Increasing Spending on the Cloud to Propel the Market Growth

Rising spending on cloud by market players anticipated driving the market growth during the forecast period. Growing performance and efficiency, greater flexibility and dependability, and a reduction in IT expenses are all provided by the cloud. Additionally, it enhances innovation, enabling businesses to launch more quickly and integrate AI and machine learning use cases into their plans. In addition, acquire more in-depth knowledge about expenditure and cloud utilisation in a multicloud setting. Market players able to spot chances for cost savings as well as underutilised and wasted resources which is one of the factor which is fuelling the market growth. Comprehensive understanding of how a company employs cloud resources for various business divisions. This makes it possible to centrally tag cloud resources across providers for improved resource management.

Market Restraints of the IT Spending Market

High Implementation and Maintenance Costs:

Despite the long-term benefits of IT systems, the initial capital investment required for infrastructure setup, software licensing, integration, and skilled personnel can be substantial—especially for small and medium enterprises (SMEs). Additionally, ongoing maintenance, cybersecurity upgrades, and technical support add to the total cost of ownership, often leading businesses to delay or scale back their IT spending.

Rapid Technological Obsolescence:

The fast pace of innovation in IT—such as the frequent emergence of new hardware, software, and digital tools—creates a challenge for organizations to keep up. Technology becomes outdated quickly, leading to a shortened lifecycle for IT assets. This rapid obsolescence can deter organizations from making large-scale IT investments, as they fear their systems will become irrelevant or incompatible within a short timeframe.

Impact of Covid-19 on the IT Spending Market

Some industries were affected by the COVID-19 pandemic because of supply chain difficulties, workforce shortages, and lockdowns. The COVID-19 epidemic has severely impacted the Indian economy, bringing with it a host of new challenges that point to a significant shift in the dynamics of the market. People's spending patterns were seen to shift from indulgence to hoarding throughout the pandemic.

COVID...

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers re-visited firms already interviewed during the ES to collect firms-level data on innovation and innovation-related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - To provide evidence on nature, role and determinants of innovation in emerging and developing countries; - To generate information that will be used to identify projects and develop policies to promote innovation; - To stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

In Kenya, the survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 549 successful interviews were performed. Business owners and top managers were interviewed from October 2013 through February 2014.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a lists of establishments interviewed for Kenya 2013 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

Response rate

77 firms refused to participate in the survey

According to Cognitive Market Research, Information Technology Global Market Size will be USD XX Million in 2024 and is set to achieve a market size of USD XX Million by the end of 2033 growing at a CAGR of XX% from 2025 to 2033.

North America held largest share of xx% in the year 2024 
Europe held share of xx% in the year 2024 
Asia-Pacific held significant share of xx% in the year 2024 
South America held significant share of xx% in the year 2024
Middle East and Africa held significant share of xx% in the year 2024 

Market Dynamics of IT Information Technology Market

Key Drivers of IT Information Technology Market

The Growing Adoption of Cloud Computing, Artificial Intelligence, and Big Data

The extensive incorporation of cutting-edge digital technologies—cloud computing, AI, and big data—serves as a key catalyst for the growth of the IT market. Cloud computing provides businesses with scalable and adaptable infrastructure, AI enhances operational efficiency through automation and predictive analytics, and big data supports informed decision-making. For example, Atera’s collaboration with Azure OpenAI facilitates predictive issue resolution and significantly enhances IT productivity. These technologies are transforming workflows across various industries and driving innovation, ensuring that the IT sector remains at the forefront of global digital transformation.

Source:https://www.microsoft.com/en/customers/story/1662731177894407321-atera-professional-services-azure-en-israel

The Transformative Influence of IoT is Enhancing the Global IT Sector

The rapid proliferation of Internet of Things (IoT) devices—projected to exceed 16.6 billion by the close of 2023—has intensified the demand for IT infrastructure, services, and analytics. IoT fosters real-time data gathering, automation, and predictive maintenance in sectors such as healthcare, manufacturing, and smart cities. The immense data produced by interconnected devices is propelling advancements in AI, cloud computing, and edge computing. With increasing investments in 5G and digital infrastructure, IoT continues to serve as a vital enabler of IT market growth on a global scale.

(Source:https://iot-analytics.com/product/state-of-iot-summer-2024/)

Key Restraints in IT Information Technology Market

Growing Concerns Regarding Data Privacy are Impeding IT Market Expansion

High-profile cyber incidents, such as the 2021 Microsoft Exchange Server breach, have triggered considerable anxiety regarding data security. Consumer apprehensions about surveillance, unauthorized access, and the corporate misuse of personal data are on the rise. According to Deloitte, almost 60% of consumers express concerns about security breaches, with trust in corporate data management notably diminished. This situation has prompted demands for more stringent privacy regulations and may hinder digital adoption due to heightened compliance requirements and public skepticism.

(Source:https://www2.deloitte.com/us/en/insights/industry/telecommunications/connectivity-mobile-trends-survey/2023/data-privacy-and-security.html

https://en.wikipedia.org/wiki/WannaCry_ransomware_attack)

Cybersecurity Threats and the Escalation of Attack Complexity

The emergence of intricate cyber threats, such as ransomware (e.g., WannaCry), poses a persistent challenge for the IT industry. Cybercriminals take advantage of weaknesses in essential systems, leading to financial losses, data breaches, and damage to reputation. Tackling cybersecurity necessitates ongoing investment in threat detection, endpoint security, and adherence to regulations. These evolving threats not only increase operational expenses but also discourage smaller enterprises from adopting advanced IT solutions due to the fear of vulnerability.

Key Trends of IT Information Technology Market

Expansion of Edge Computing to Facilitate Real-Time Applications

As IoT and smart devices become more prevalent, edge computing is gaining traction by processing data nearer to its source. This approach minimizes latency and enhances response times, making it particularly suitable for real-time applications such as autonomous vehicles, smart manufacturing, and augmented reality. The shift towards edge infrastructure is transforming IT architectures to more effectively balance cloud and on-premise computing requirements.

Increa...

Abstract

In 2011 the World Bank in collaboration with the Department for International Development (DFID), launched the follow-up survey to the standard World Bank Enterprise Survey (ES) aiming to improve the measurement of innovation in emerging economies and developing countries.

Researchers revisited businesses already interviewed during the ES to collect firm-level data on innovation and innovation related activities, such as product innovation, process innovation, organizational innovation, and marketing innovation.

The objectives of the Innovation Follow-up Survey are: - to provide evidence on nature, role and determinants of innovation in emerging and developing countries; - to generate information that will be used to identify projects and develop policies to promote innovation; - to stimulate systematic policy dialogue on the importance of innovation as a driver of private sector development and economic growth at the global level.

In Malawi, the survey was administered to a subset of ES respondents randomly selected in order to have a final sample of 75% of the original ES; 250 successful interviews were conducted. Business owners and top managers were interviewed from June 2014 through February 2015.

The innovation dataset can be merged with Malawi 2014 Enterprise Survey dataset using the common id variable "idstd".

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were randomly selected from a list of establishments interviewed for Malawi 2014 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.

Mode of data collection

Face-to-face [f2f]

In a world filled challenges we need to be more prepared towards its requirements throughout our life. This book explores the Lifelong Learning role in flourishing the human experience and our life legacy.

The journey of learning and unlearning is considered to be a pivot stone in establishing a future detailed work and initiatives for the Arab world Lifelong Learning practices. It is an effort by the author to prepare the Arab societies for the coming Learning Economy.

Dr Buheji here simplifies the way of how to handle lifelong learning as a source of inspiration spirit which is constructed from the integration of learning, thinking and innovation. This eye-opening book about Lifelong Learning is full with best practices, success stories that lead our way through towards a better pioneering societies in the developing countries.