Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Identifying artificial intelligence actors using online data (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (50 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Working Papers no.2023/01
    Keywords: Science and Technology ; Industry and Services
    Abstract: This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.
    DOI: 10.1787/1f5307e7-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Identifying and measuring developments in artificial intelligence : making the impossible possible (2020)
    Paris, France : OECD
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 68 Seiten) , Illustrationen
    Series Statement: OECD science, technology and industry working papers 2020, 05
    Series Statement: OECD science, technology and industry working papers
    Keywords: 2014-2018 ; Künstliche Intelligenz ; Performance-Messung ; Branchenentwicklung ; Bibliometrie ; Science and Technology ; Amtsdruckschrift ; Graue Literatur
    Abstract: This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-related developments over recent years. Since 2015, AI-related publications have increased by 23% per year; from 2014 to 2018, AI-related OSS contributions grew at a rate three times greater than other OSS contributions; and AI-related inventions comprised, on average, more than 2.3% of IP5 patent families in 2017. China’s growing role in the AI space also emerges. The analysis relies on a three-pronged approach based on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data.
    DOI: 10.1787/5f65ff7e-en
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Measuring patent quality : indicators of technological and economic value (2013)
    Paris : OECD
    Details
    Language: English
    Pages: Online-Ressource (69 S.) , graph. Darst.
    Series Statement: OECD science, technology and industry working papers 2013/03
    Series Statement: OECD science, technology and industry working papers
    Keywords: Patent ; Qualität ; Messung ; Theorie ; Science and Technology ; Industry and Services ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This work contributes to the definition and measurement of patent quality. It proposes a wide array of indicators capturing the technological and economic value of patented inventions, and the possible impact that these might have on subsequent technological developments. The measures proposed build extensively upon recent literature, rely on information contained in the patent documents, and are calculated on patent cohorts defined by the combination of the technology field and the year of filing of patents. This is done to account for possible time- and technology-related shocks. The description of the indicators is accompanied by statistics compiled on patents from the European Patent Office, as well as tests aimed at addressing the sensitivity of the measures to alternative specifications and the correlations that may exist among them. The indicators proposed, which can be constructed on all patents, have the advantage of relying on a homogeneous set of information and of being comparable across countries and over time. To facilitate their compilation on data from other Intellectual Property (IP) offices, the SQL-based program codes used to calculate the indicators are also supplied. The paper is further accompanied by a dataset – to be obtained upon request – containing the indicators calculated on EPO patent documents published during the period 1978-2012, as well as some cohort specific statistics (i.e. main moments and key percentiles).
    Note: Zsfassung in franz. Sprache , Systemvoraussetzungen: Acrobat Reader.
    DOI: 10.1787/5k4522wkw1r8-en
    URL: Volltext
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    A cross-country characterisation of the patenting behaviour of firms based on matched firm and patent data (2013)
    Paris : OECD
    Details
    Language: English
    Pages: Online-Ressource (35 S.) , graph. Darst.
    Series Statement: OECD science, technology and industry working papers 2013/05
    Series Statement: OECD science, technology and industry working papers
    Keywords: 1999 - 2010 ; Unternehmen ; Industrieforschung ; Patent ; Science and Technology ; Industry and Services ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This work proposes a characterisation of the patenting behaviours of firms. It relies on patent data linked to firm data from a commercial dataset, regards firms of 20 or more employees located in 15 countries, and refers to the period 1999-2010. The way in which patent assignees’ names are linked to firm names is explained, and the coverage and representativeness of the firm database used is discussed using information from structural business statistics. The profile of patenting and non-patenting firms is delineated on the basis of characteristics such as firm size, ownership, firm age and industry, and of combinations thereof. Statistics related to the sector-specific patterns of patent renewals are also shown.
    Note: Zsfassung in franz. Sprache , Systemvoraussetzungen: Acrobat Reader.
    DOI: 10.1787/5k40gxd4vh41-en
    URL: Volltext
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Demand for AI skills in jobs : Evidence from online job postings (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (73 p.)
    Series Statement: OECD Science, Technology and Industry Working Papers no.2021/03
    Keywords: Employment ; Science and Technology ; Industry and Services
    Abstract: This report presents new evidence about occupations requiring artificial intelligence (AI)-related competencies, based on online job posting data and previous work on identifying and measuring developments in AI. It finds that the total number of AI-related jobs increased over time in the four countries considered – Canada, Singapore, the United Kingdom and the United States – and that a growing number of jobs require multiple AI-related skills. Skills related to communication, problem solving, creativity and teamwork gained relative importance over time, as did complementary software-related and AI-specific competencies. As expected, many AI-related jobs are posted in categories such as “professionals” and “technicians and associated professionals”, though AI-related skills are in demand, to varying degrees, across almost all sectors of the economy. In all countries considered, the sectors “Information and Communication”, “Financial and Insurance Activities” and “Professional, Scientific and Technical Activities” are the most AI job-intensive.
    DOI: 10.1787/3ed32d94-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    The role of innovation and human capital for the productivity of industries (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (50 p.)
    Series Statement: OECD Science, Technology and Industry Policy Papers no.103
    Keywords: Science and Technology
    Abstract: This paper sheds light on the relationship between innovation, human capital endowment and upgrading, organisational capital (OC) and labour productivity. In addition to assessing correlations, it uses a Heckman selection model to address causal links and to account for the ways in which skills and investment in R&D affect the probability of innovating. The analysis finds that innovative output, the proportion of OC-related workers, investment in training (especially in informal training) and physical capital intensity are positively and significantly related to productivity. In most estimates ICT skills, cognitive skills and the presence of highly skilled workers in an industry also emerge as having a significant and positive relationship with productivity. ICT skills further appear to indirectly shape productivity, through a positive relationship with innovation.
    DOI: 10.1787/197c6ae9-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Who develops AI-related innovations, goods and services? : A firm-level analysis (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (40 p.)
    Series Statement: OECD Science, Technology and Industry Policy Papers no.121
    Keywords: Science and Technology
    Abstract: This study proposes an exploratory analysis of the characteristics of Artificial Intelligence (AI) “actors”. It focuses on entities that deploy AI-related technologies or introduce AI-related goods and services on large international markets. It builds on the OECD Science, Technology and Innovation Micro-data Lab infrastructure, and, in particular, on Intellectual Property (IP) rights data (patents and trademarks) combined with company-level data. Statistics on AI-related patents and trademarks show that AI-related activities are strongly concentrated in some countries, sectors, and actors. Development of AI technologies and/or goods and services is mainly due to start-ups or large incumbents, located in the United States, Japan, Korea, or the People’s Republic of China, and, to a lesser extent, in Europe. A majority of these actors operate in ICT-related sectors. The composition of the IP portfolio of the AI actors indicates that AI is frequently combined with a variety of sector-specific technologies, goods, or services.
    DOI: 10.1787/3e4aedd4-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Labour-saving technologies and employment levels : Are robots really making workers redundant? (2022)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (36 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Policy Papers no.124
    Keywords: Science and Technology
    Abstract: This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels. The analysis relies on patents published by the European Patent Office between 1978 and 2019 and firm-level data from ORBIS® IP. It investigates innovative actors engaged in labour-saving technologies and their economic environment (identity, location, industry), and identifies technological fields and associated occupations which are particularly exposed to them. Labour-saving patents are concentrated in Japan, the United States, and Italy, and seem to affect low-skilled and blue-collar jobs, along with highly cognitive and specialised professions. A preliminary analysis does not find an appreciable negative effect on employment shares in OECD countries over the past decade, but further research to econometrically investigate the relationship between labour-saving technological developments and employment would be helpful.
    DOI: 10.1787/9ce86ca5-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Defining and measuring investment in organisational capital : using US microdata to develop a taskbased approach (2012)
    Paris : OECD
    Details
    Language: English
    Pages: Online-Ressource , graph. Darst.
    Series Statement: OECD science, technology and industry working papers 2012/05
    Series Statement: OECD science, technology and industry working papers
    Keywords: Arbeitsnachfrage ; Arbeitsmobilität ; Humankapital ; Mikrodaten ; Humanressourcen ; USA ; Science and Technology ; Industry and Services ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This work seeks to quantify investment in Organisational Capital (OC) by looking at the task content of occupations. It relies on the literature suggesting OC to be embodied in a firm’s workforce and defines OC as those tasks performed by employees – irrespective of their occupational titles – likely to affect a firm’s medium to long-term functioning. Using US Occupational Information Network (O*NET) data, it operationalises the task-based definition and identifies 84 occupations, including 22 managerial occupations, performing OC related tasks. Employment and earnings data from the US are used to calculate investment in OC at macro and 2-digit sectoral levels. Estimates suggest that previous measures seemingly underestimated investment in OC at the macro level, and that large sectoral differences exist. Manufacturing shows significant own-account investment in OC relative to the value added it generates. Services appear as larger purchasers of OC from external sources, relative to own-account investment. Building on the insights of the labour mobility literature about the disruptive effect of (voluntary) job separations, this work uses employee tenure and turnover data for the US to obtain sector specific depreciation rates. Estimates mainly range between 10% and 25% and suggest that OC depreciates more slowly than previously assumed.
    Note: Zsfassung in franz. Sprache , Systemvoraussetzungen: Acrobat Reader.
    DOI: 10.1787/5k92n2t3045b-en
    URL: Volltext
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Burning Glass Technologies’ data use in policy-relevant analysis : An occupation-level assessment (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (68 p.)
    Series Statement: OECD Science, Technology and Industry Working Papers no.2021/05
    Keywords: Science and Technology
    Abstract: This work proposes an analysis of the statistical properties and distributional characteristics of Burning Glass Technologies’ (BGT) data on online job openings from platforms and companies, at the occupation level. BGT data are compared to official data on employment by occupation to assess their occupation-specific representativeness. This work further proposes weighting schemes aimed at making BGT-based analysis fully representative at the occupation and country levels, where appropriate. The analysis encompasses six economies – Australia, Canada, New Zealand, Singapore, the United Kingdom and the United States – for the period 2010-19. Overall, it finds that BGT data exhibit good statistical properties and are a useful source of timely information about labour market demand, especially for high-skill occupations and recruitment processes that are more likely to happen online.
    DOI: 10.1787/cd75c3e7-en
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...