The UK Innovation Survey (UKIS) provides the main source of information on business innovation in the UK. The survey data is a major resource for research into the nature and functioning of the innovation system and for policy formation. It is used widely across government, regions and by the research community. The UKIS also represents the UK's contribution to the Europe-wide Community Innovation Survey (CIS). Like many innovation surveys across Europe, the UKIS follows general guidelines set out in the Organisation for Economic Co-operation and Development (OECD) publication known as the Oslo Manual (OECD 2005). This manual provides guidelines on the conduct of innovation surveys, including statistical procedures and a review of the range of concepts that fall together under the umbrella term "innovation".

Geographical references: postcodes
The postcodes included in the first edition of these data (i.e. data files prior to 2008-2010) are pseudo-anonymised postcodes. The real postcodes were not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes. In the dataset, the variable of the replacement postcode is 'new_PC'.

The first two editions only include the first half of an observation's anonymised (or real) postcode (sometimes referred to as the outward code). Researchers who are interested in analysing data by more disaggregated geographies (e.g. ward, output area) are advised that this is not possible using the first half of the postcode. Full, real postcodes are available from the third edition onwards, with the exception of .UKIS12, for which only the first half of the postcodes (outward codes) are available.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest edition information
For the ninth edition (September 2024) data and documentation for UKIS 2023 (also known as UKIS 13), covering the period 2020 to 2022, were added to the study.

The study was conducted in Belarus between October 2008 and February 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 102 manufacturing companies with 50 to 5,000 full-time employees was analyzed. The survey topics include detailed information about a company and its management practices production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

The Community Innovation Survey (CIS) based innovation statistics are part of the EU science and technology statistics. Surveys are carried out with two years' frequency by EU member states and number of ESS member countries. Compiling CIS data is voluntary to the countries, which means that in different surveys years different countries are involved.

The CIS is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding, the innovation expenditures etc. The CIS provides statistics broken down by countries, type of innovators, economic activities and size classes.

The Business R&D and Innovation Survey (BRDIS) is a dataset created by the U.S. Census Bureau to provide detailed statistics on research and development (R&D) activities of U.S.-based companies. It tracks global and domestic R&D expenditures, the R&D workforce, intellectual property (IP) generation, technology transfer activities, and innovation trends. The survey serves as a critical resource for policymakers, researchers, and businesses to analyze investment in innovation, inform economic policies, and benchmark industry practices. Key features include granular data on R&D spending by industry, company size, and geographic location, as well as insights into collaboration between firms and academic institutions. The dataset replaced the older Survey of Industrial Research and Development (SIRD) in 2008, offering expanded scope and improved methodology. It is mandated under Title 13 of the U.S. Code, ensuring legal authority for data collection. Unique aspects of BRDIS include its focus on both manufacturing and nonmanufacturing sectors, detailed workforce metrics (e.g., R&D employee counts), and coverage of IP outputs like patents. Its predecessors, such as the Business Research and Development Survey (BRDS), were merged into the BERD framework, making it the primary source for understanding R&D dynamics in U.S. nonfarm businesses. The dataset supports academic research, industry strategy, and federal initiatives aimed at fostering innovation-driven economic growth.

The Innovation Survey counts, among other variables, the percentage of innovative companies, as well as the amount of spending on innovative activities and their distribution between the different activities, the public financing of the same and the cooperation for innovative activities.

The Innovation Survey from the year 2018 is conducted with the new version of the Oslo Manual 2018 and this assumes that there is a breakdown of the series due to methodological change. For this reason, the published data for 2018 and on are not comparable to those published in previous years.

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

The Business Enterprise Research and Development Survey (BERD) and its immediate predecessors the Business R&D and Innovation Survey (BRDIS) and the Business Research and Development Survey (BRDS) are collectively referred to as BERD in this overview. BERD is the primary source of information on R&D expenditures and R&D employees of for-profit, publicly or privately held, nonfarm businesses with 10 or more employees in the United States that performed or funded R&D either domestically or abroad. This dataset includes Business Enterprise Research and Development Survey assets for Calender Year 2022.

The study was conducted in Romania between October 2008 and February 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 152 manufacturing companies with 50 to 5,000 full-time employees was analyzed. The survey topics include detailed information about a company and its management practices production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

The UK Innovation Survey (UKIS) is the main data source for business innovation in the UK. The survey is conducted every 2 years, and is used widely across government to help improve policy, and by the research community for understanding the innovation landscape. The survey focuses on firm adoption of innovation through new and improved products and services, investments in different types of innovation, and changes in business structures, management, design and marketing innovations. It also asks businesses about the drivers which motivate and barriers to innovation. The UK Innovation Survey is funded by DBT and carried out by the Office for National Statistics with assistance from the Northern Ireland Department of Enterprise, Trade and Investment. More historic information prior to 2009 is available from the National Archives website. For access to granular microdata, please contact Official for National Statistics (ONS) Secure Research Service or UK Data Service. Official Statistics Alternative title: Community Innovation Survey

The study was conducted in Poland between November 2008 and March 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 103 manufacturing companies with 50 to 5,000 full-time employees was analyzed. The survey topics include detailed information about a company and its management practices production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

Abstract

The study was conducted in India from Aug.19 to Nov. 5, 2009, as part of the first round of The Management, Organization and Innovation Survey. Data from 200 manufacturing companies with 50 to 5,000 full-time employees was analyzed.

The survey topics include detailed information about a company and its management practices - production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

Analysis unit

The primary sampling unit of the study is the 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 is defined as a separate production unit, regardless of whether or not it has its own financial statements separate from those of the firm, and whether it has it own management and control over payroll. So the bottling plant of a brewery would be counted as an establishment.

Universe

The survey universe was defined as manufacturing establishments with at least fifty, but less than 5,000, full-time employees.

Kind of data

Sample survey data [ssd]

Sampling procedure

Random sampling was used in the study. For all MOI countries, except Russia, there was a requirement that all regions must be covered and that the percentage of the sample in each region was required to be equal to at least one half of the percentage of the sample frame population in each region.

In India, the sample frame used consisted of firms that participated in the Bloom and Van Reenen (2010) management project. The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys. The percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 6.2% (26 out of 420 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

Two different versions of the questionnaire were used. Questionnaire A was used when interviewing establishments that are part of multiestablishment firms, while Questionnaire B was used when interviewing single-establishment firms. Questionnaire A incorporates all questions from Questionnaire B, the only difference is in the reference point, which is the so-called national firm in the first part of Questionnaire A and firm in Questionnaire B. Second part of the questionnaire refers to the interviewed establishment only in both Questionnaire A and Questionnaire B. Each variation of the questionnaire is identified by the index variable, a0.

Response rate

Item non-response was addressed by two strategies: - For sensitive questions that may generate negative reactions from the respondent, such as ownership information, enumerators were instructed to collect the refusal to respond as (-8). - Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

Survey non-response was addressed by maximising efforts to contact establishments that were initially selected for interviews. Up to 15 attempts (but at least 4 attempts) were made to contact an establishment for interview at different times/days of the week before a replacement establishment (with similar characteristics) was suggested for interview. Survey non-response did occur, but substitutions were made in order to potentially achieve the goals.

Additional information about sampling, response rates and survey implementation can be found in "MOI Survey Report on Methodology and Observations 2009" in "Technical Documents" folder.

This table contains data on innovation at Dutch companies. These data are the results of a biennial innovation survey. One survey spans three years, for example 2010 through 2012 (this is the reporting period). The last year in a survey is the same as the first year in the next survey. This means that the periods partially overlap. The innovation survey is conducted among a sample of companies with 10 or more employees. The results are broken down by company size and industry. Data available from 2010-2012. Status of the figures: The figures up to and including the innovation survey 2012-2014 are final and the figures for the innovation survey 2014-2016 are more provisional. Changes as of February 7, 2020: The more detailed provisional figures for the innovation survey 2014-2016 have been added. When will new numbers come out? The results of the 2016-2018 innovation survey will be published in mid-2020.

The study was conducted in Ukraine between October 2008 and January 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 147 manufacturing companies with 50 to 5,000 full-time employees was analyzed. The survey topics include detailed information about a company and its management practices production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

Description: The data set comprises the raw data from the 757 valid completed Innovation Survey questionnaires from the 757 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector. Abstract: Innovation Surveys are currently designed to measure the extent of innovative activity in the industry and service sectors of the economy and are based on the guidelines of the OECD/Eurostat Oslo Manual and the core EU Community Innovation Survey (CIS) but are usually adapted by countries to meet particular country needs or conditions.

Innovation Surveys are a source of data for developing policies to enhance innovation. The South African Innovation Survey follows the international OECD/Eurostat guidelines and methodology and is based on the core CIS with modifications and a few particular questions for the South African environment. Following international methodology allows the results of the South African Innovation Survey to be usefully compared with the results from other countries. The National innovation survey 2008 collected primary data from the business sector.

Although some general organisational information was collected, the survey focussed on product and process innovation.

Some of the indicators collected included the following:

Share of firms that introduced a product innovation

Share of firms that introduced a process innovation

Share of firms that introduced a new-to-market product innovation

Sources of information for innovation

Total expenditures on innovation [as a % of total turnover]

Factors hampering innovation in firms

Share of (innovation active) firms that co-operated with foreign partners on innovation

Share of (innovation active) firms that received public financial support for innovation

Innovation Surveys are based on a random stratified sample of business enterprises from the national business register (or equivalent) and results are extrapolated to the original population. The South African Innovation Survey 2008 was based on a random stratified sample of 4 000 enterprises obtained from the Statistics South Africa business register. After cleaning the remaining entries in the database totaled 2 836 valid enterprises and after two postal rounds and telephonic and e-mail follow ups and reminders a final response of 757 completed questionnaires was obtained giving an response rate of 26.7%.

The key users of the data and findings include government departments, especially the DST and the OECD.

Ad hoc requests for data are also accommodated and inform academic papers, reports and outputs.

The Community Innovation Survey (CIS) is a survey of innovation activity in enterprises. The harmonized survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding or the expenditures. The CIS provides statistics broke down by countries, type of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, some EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat, in close cooperation with the countries, has developed a standard core questionnaire starting with the CIS3 data collection, along with an accompanying set of definitions and methodological recommendations. The concepts and underlying methodology of the CIS are also based on the Oslo Manual — second edition of 1997 and third edition of 2005.

Abstract

The study was conducted in Kazakhstan between October 2008 and January 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 125 manufacturing companies with 50 to 5,000 full-time employees was analyzed.

The survey topics include detailed information about a company and its management practices - production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

Analysis unit

The primary sampling unit of the study is the 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 is defined as a separate production unit, regardless of whether or not it has its own financial statements separate from those of the firm, and whether it has it own management and control over payroll. So the bottling plant of a brewery would be counted as an establishment.

Universe

The survey universe was defined as manufacturing establishments with at least fifty, but less than 5,000, full-time employees.

Kind of data

Sample survey data [ssd]

Sampling procedure

Random sampling was used in the study. For all MOI countries, except Russia, there was a requirement that all regions must be covered and that the percentage of the sample in each region was required to be equal to at least one half of the percentage of the sample frame population in each region.

The sample frame for Kazakhstan was a file of establishments obtained from the Agency of Statistics of the Republic of Kazakhstan. A copy of that frame was sent to the statistical team in London to select the establishments for interview. The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys. The percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 2.7% (7 out of 258 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

Two different versions of the questionnaire were used. Questionnaire A was used when interviewing establishments that are part of multiestablishment firms, while Questionnaire B was used when interviewing single-establishment firms. Questionnaire A incorporates all questions from Questionnaire B, the only difference is in the reference point, which is the so-called national firm in the first part of Questionnaire A and firm in Questionnaire B. Second part of the questionnaire refers to the interviewed establishment only in both Questionnaire A and Questionnaire B. Each variation of the questionnaire is identified by the index variable, a0.

Response rate

Item non-response was addressed by two strategies: - For sensitive questions that may generate negative reactions from the respondent, such as ownership information, enumerators were instructed to collect the refusal to respond as (-8). - Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

Survey non-response was addressed by maximising efforts to contact establishments that were initially selected for interviews. Up to 15 attempts (but at least 4 attempts) were made to contact an establishment for interview at different times/days of the week before a replacement establishment (with similar characteristics) was suggested for interview. Survey non-response did occur, but substitutions were made in order to potentially achieve the goals.

Additional information about sampling, response rates and survey implementation can be found in "MOI Survey Report on Methodology and Observations 2009" in "Technical Documents" folder.

The study was conducted in Kazakhstan between October 2008 and January 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 125 manufacturing companies with 50 to 5,000 full-time employees was analyzed. The survey topics include detailed information about a company and its management practices production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

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