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  • 1
    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.
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  • 2
    Language: English
    Pages: Online-Ressource (36 S.) , graph. Darst.
    Series Statement: OECD science, technology and industry working papers 2015/08
    Series Statement: OECD science, technology and industry working papers
    Keywords: Erwerbstätigkeit ; Humankapital ; Bildungsinvestition ; Messung ; OECD-Staaten ; Science and Technology ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This work proposes a task-based methodology for the measurement of employment and investment in organisational capital (OC) in 20 OECD countries. It builds on the methodology of Squicciarini and Le Mouel (2012) and uses information from the OECD Programme for the International Assessment of Adult Competencies (PIAAC). OC is defined as firm-specific organisational knowledge resulting from the performance of tasks affecting the long-term functioning of firms, such as developing objectives and strategies; organising, planning and supervising production; and managing human resources. Cross-country heterogeneity in OC-related occupations emerges: while 20 occupational classes of the International Standard Classification of Occupations (ISCO 2008) are on average identified as being OC-related, country-specific values range between 14 (in Korea) and 24 occupations (in Poland). A core group of managerial occupations are consistently identified as OC occupations across countries, whereas differences arise in the selection of professionals and associate professionals in science and engineering, health, education, and business administration. Estimates suggest the share of OC occupations in total employment to amount to 16% on average, with country-specific values that vary between 9.5% (Denmark) and 26% (United Kingdom); and that total investment in OC, as a share of value-added, ranges from 1.4% in the Czech Republic to 3.7% in the United Kingdom, with an average 2.2% across all countries. Managers appear to account for less than half of total employment and investment in OC. Total investment in OC results higher in services than in manufacturing. In the services sector, on average half of investment in OC comes from small firms, while in manufacturing, 45% of investment in OC comes from large firms. Finally, the importance of OC investment in the public sector is investigated. With only few exceptions, investment in OC is higher in the public sector than in the private sector. These estimates of OC investment can be used to analyse its role with respect to skill use and mismatch, its impact on the routinisation of tasks and resulting polarisation of wage distribution, and its role in firms' integration and upgrading along global value chains (GVC).
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