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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 6699 UK Innovation Survey, 1994-2023: Secure Access 669910.5255/UKDA-SN-6699-9 Department for Business and Trade Northern Ireland. Department of Enterprise, Trade and Investment Office for National Statistics <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. Department for Business and Trade UK Data Service 29 July 2011 EDUCATIONAL CERTIFICATESABILITYEXPORTS AND IMPORTSCONSUMER GOODSMARKET RESEARCHADVERTISINGKNOWLEDGE TRANSFEREMPLOYEESRESEARCH AND DEVELOPMENTPROCESS DEVELOPMENTPRODUCT DEVELOPMENTCOMMERCIAL INNOVATIONINNOVATION BEHAVIOUREXPENDITURETURNOVER Trade, industry and marketsScience and technology Abstract copyright UK Data Service and data collection copyright owner.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. Main Topics: The survey is based on a core questionnaire developed by Eurostat and Member States, and covers a broad range of policy interests including:<ul><li>general business information</li><li>innovation activity</li><li>goods, services and process innovation</li><li>context for innovation</li><li>general economic information</ul></li>The purpose of the survey is to collect information about business innovation in the UK. An enterprise is defined as being active in innovation if it has:<ul><li>introduced a new or significantly improved good, service or process</li><li>engaged in innovation projects that are not yet complete</li><li>engaged in longer term innovation activities such as basic Research and Development or technology watch</li><li>had innovation related expenditure</li><li>formally co-operated with other enterprises or institutions on innovation</ul></li> United Kingdom Institutions/organisationsNational UK businesses with 10 or more employees in sections B-N of the Standard Industrial Classification (SIC) 2007 (prior to 2008-2010, sections C-K of SIC 2003), registered for VAT and/or PAYE in 1994-2022. Numeric Repeated cross-sectional study One-stage stratified or systematic random sample Postal survey The Data Collection is available to users registered with the UK Data Service.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Registered users must apply for access via a DEA Research Project Application.Registered users must complete the Safe Researcher Training course and gain <a href="https://uksa.statisticsauthority.gov.uk/digitaleconomyact-research-statistics/better-useofdata-for-research-information-for-researchers/" target="_blank">DEA Accredited Researcher Status</a>.Registered users must be based in the UK when accessing data.The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service. See <restrctn> https://www.ukdataservice.ac.uk/bounce?type=case-study&id=194 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=109 Lahr, H. and Mina, A. (2020) 'Endogenous financial constraints and innovation', Industrial and Corporate Change, dtaa035, https://doi.org/10.1093/icc/dtaa035. https://doi.org/10.1093/icc/dtaa035 Calel, R. (2020) 'Adopt or innovate: understanding technological responses to Cap-and-Trade', American Economic Journal: Economic Policy, 12, 3, pp.170-201, https://doi.org/10.1257/pol.20180135. https://doi.org/10.1257/pol.20180135 Leidecker, T. (2018) Three essays on the impact of economic change on the labour market, Coventry: University of Warwick [Ph.D. thesis]. Three essays on the impact of economic change on the labour market Kesidou, E., Narasimhan, R., Ozusaglam, S. and Wong, C.Y. (2022) 'Dynamic openness for network-enabled product and process innovation: a panel-data analysis', International Journal of Operations and Production Management, doi: 10.1108/IJOPM-06-2021-0380 https://doi.org/10.1108/IJOPM-06-2021-0380 Audretsch, D.B. and Belitski, M. (2023) 'Geography of knowledge collaboration and innovation in Schumpeterian firms', Regional Studies. doi:10.1080/00343404.2023.2222137 https://doi.org/10.1080/00343404.2023.2222137 Audretsch, D.B., Belitski, M., Caiazza, R.and Siegel, D. (2023) 'Effects of open innovation in startups: theory and evidence',Technological Forecasting and Social Change,194, 122694. doi:10.1016/j.techfore.2023.122694 https://doi.org/10.1016/j.techfore.2023.122694 Audretsch, D.B., Belitski, M., Caiazza, R. and Phan, P. (2023) 'Collaboration strategies and SME innovation performance'. Journal of Business Research, 164, 114018. doi:10.1016/j.jbusres.2023.114018 https://doi.org/10.1016/j.jbusres.2023.114018 Audretsch, D.B. and Belitski, M. (2022) 'Evaluating internal and external knowledge sources in firm innovation and productivity: an industry perspective', R and D Management. doi:10.1111/radm.12556 https://doi.org/10.1111/radm.12556 https://oai.ukdataservice.ac.uk:8443/oai/provider 6699 2025-03-28T07:30:03Z ddi:codebook:2_5