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 characterising AI adopters : A novel approach based on big data (2022)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (67 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Working Papers no.2022/06
    Keywords: Science and Technology ; Industry and Services
    Abstract: This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata. Focusing on the United Kingdom, the analysis combines data on Intellectual Property Rights, website information, online job postings, and firm-level financials for the first time. It shows that a significant share of AI adopters is active in Information and Communication Technologies and professional services, and is located in the South of the United Kingdom, particularly around London. Adopters tend to be highly productive and larger than other firms, while young adopters tend to hire AI workers more intensively. Human capital appears to play an important role, not only for AI adoption but also for firms’ productivity returns. Significant differences in the characteristics of AI adopters emerge when distinguishing between firms carrying out AI innovation, those with an AI core business, and those searching for AI talent.
    DOI: 10.1787/154981d7-en
    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
    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.
  • 4
    Online Resource
    Online Resource
    A taxonomy of digital intensive sectors (2018)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 48 Seiten) , Illustrationen
    Series Statement: OECD science, technology and industry working papers 2018, 14
    Series Statement: OECD science, technology and industry working papers
    Keywords: Vereinte Nationen ; 2001 - 2015 ; Industrie ; Klassifikation ; Digitalisierung ; Industrie 4.0 ; Science and Technology ; Industry and Services ; Amtsdruckschrift ; Graue Literatur
    Abstract: This study proposes a taxonomy of sectors according to the extent to which they have gone digital. The taxonomy accounts for some of the key facets of the digital transformation, and recognises that sectors differ in their development and adoption of the most advanced “digital” technologies, in the human capital needed to embed them in production and in the extent to which digital tools are used to deal with clients and suppliers. The indicators used to classify 36 ISIC revision 4 sectors over the period 2001-15 are: share of ICT tangible and intangible (i.e. software) investment; share of purchases of intermediate ICT goods and services; stock of robots per hundreds of employees; share of ICT specialists in total employment; and the share of turnover from online sales. The study further proposes an overall summary indicator of the digital transformation in sectors which encompasses all the considered dimensions.
    DOI: 10.1787/f404736a-en
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (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
    Which skills for the digital era? : returns to skills analysis (2018)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (circa 37 Seiten) , Illustrationen
    Series Statement: OECD science, technology and industry working papers 2018, 09
    Series Statement: OECD science, technology and industry working papers
    Keywords: Computerunterstützung ; Informationstechnik ; Technischer Fortschritt ; Fachkräfte ; OECD-Staaten ; Science and Technology ; Industry and Services ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This paper sheds light on the extent to which different types of skills are rewarded as industries go digital. It relies on information from the OECD Survey of Adult Skills on labour market participation and workers’ skills for 31 countries as well as on a novel OECD index on the digital penetration of industries. It investigates how cognitive and non-cognitive skills are rewarded in digital vs. less digital intensive industries and assesses the extent to which skills bundles matter. The results indicate that digital intensive industries especially reward workers having relatively higher levels of self-organisation and advanced numeracy skills. Moreover, for workers in digital intensive industries, bundles of skills are particularly important: workers endowed with a high level of numeracy skills receive an additional wage premium, if they also show high levels of self-organisation or managing and communication skills.
    DOI: 10.1787/9a9479b5-en
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    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...