IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i2-part2p1104-1116.html
   My bibliography  Save this article

The Criterion of Human Resources in the Assessment of the Degree of the Engagement of Knowledge in the Activities of Enterprises

Author

Listed:
  • Magdalena C. Mojsiewicz

Abstract

Purpose: The objective of this paper was to develop a new classification of the types of activity of enterprises, taking into account the degree of involvement of research and development in production and service activity. Design/Methodology/Approach: After analyzing the subject scope of the statistical surveys that are the source of data on which the calculation of the two proposed indicators (degree of R&D intensity, R&D personnel involvement ) was based, a classification of R&D intensity sectors was developed. The experimental classification was prepared for Polish enterprises, for which statistical material was collected for the years 2014-2016. Findings: Among classifications created due to the experimental work, one of the most reliable classifications was selected. In the classification framework, the R&D intensity is divided into three sectors: intensified R&D intensity, moderate R&D intensity, low R&D intensity. The compatibility of this classification based on R&D expenditures with the classification taking into account R&D personnel makes it possible to work out a unified classification for leaders and non-leaders innovators Practical Implications: After analyzing the magnitude of the R&D personnel involvement rate (measured in %) across all business groupings, a classification was created distinguishing three sectors: intensive R&D personnel involvement (R&D personnel involvement rate value above 2%), moderate R&D personnel involvement (0.25% to 2%), and low R&D personnel involvement (less than 0.25%). This delimitation can be considered a proposal for a universal method. Originality/Value: The developed and estimated indicator of R&D personnel involvement is a new approach not used before in sectoral comparisons.

Suggested Citation

  • Magdalena C. Mojsiewicz, 2021. "The Criterion of Human Resources in the Assessment of the Degree of the Engagement of Knowledge in the Activities of Enterprises," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 1104-1116.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:2-part2:p:1104-1116
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2330/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Windrum, Paul & Tomlinson, Mark, 1999. "Knowledge-intensive services and international competitiveness: a four country comparison," Research Memorandum 023, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    2. Trajtenberg, Manuel, 2001. "Innovation in Israel 1968-1997: a comparative analysis using patent data," Research Policy, Elsevier, vol. 30(3), pages 363-389, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ers:journl:v:xxiv:y:2021:i:2b:p:1104-1116 is not listed on IDEAS
    2. Suma Athreye & Martha Prevezer, 2008. "R&D offshoring and the domestic science base in India and China," Working Papers 26, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    3. Sonia Mukherjee, "undated". "The Role of Services in Enhancing Indian Manufacturing Exports: A Firm Level Analysis, 2000-01 to 2011-12," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 15-08, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    4. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    5. Jeroen Content & Nicola Cortinovis & Koen Frenken & Jacob Jordaan, 2022. "The roles of KIBS and R&D in the industrial diversification of regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 29-64, February.
    6. Lee G. Branstetter & Matej Drev & Namho Kwon, 2019. "Get with the Program: Software-Driven Innovation in Traditional Manufacturing," Management Science, INFORMS, vol. 65(2), pages 541-558, February.
    7. Lach, Saul & Trajtenberg, Manuel & Shiff, Gil, 2008. "Together but Apart: ICT and Productivity Growth in Israel," CEPR Discussion Papers 6732, C.E.P.R. Discussion Papers.
    8. Hottenrott, Hanna & Thorwarth, Susanne, 2010. "Industry funding of university research and scientific productivity," ZEW Discussion Papers 10-105, ZEW - Leibniz Centre for European Economic Research.
    9. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    10. Yu-Shan Chen & Chun-Yu Shih, 2011. "Re-examine the relationship between patents and Tobin’s q," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 781-794, December.
    11. Ronnié Figueiredo & João José Matos Ferreira, 2020. "Spinner Model: Prediction of Propensity to Innovate Based on Knowledge-Intensive Business Services," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1316-1335, December.
    12. Chih‐Hai Yang, 2008. "Effects Of Strengthening Intellectual Property Rights In Newly Industrialized Economies: Evidence From Taiwan’S 1994 Patent Reform," Contemporary Economic Policy, Western Economic Association International, vol. 26(2), pages 259-275, April.
    13. Henk Kox, 2002. "Growth challenges for the Dutch business services industry; international comparison and policy issues," CPB Special Publication 40.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    14. Amable, Bruno & Ledezma, Ivan & Robin, Stéphane, 2016. "Product market regulation, innovation, and productivity," Research Policy, Elsevier, vol. 45(10), pages 2087-2104.
    15. Breznitz, Dan, 2007. "Industrial R&D as a national policy: Horizontal technology policies and industry-state co-evolution in the growth of the Israeli software industry," Research Policy, Elsevier, vol. 36(9), pages 1465-1482, November.
    16. Toivanen, Otto & Takalo, Tuomas & Tanayama, Tanja, 2017. "Welfare Effects of R&D Support Policies," CEPR Discussion Papers 12155, C.E.P.R. Discussion Papers.
    17. Matthias Figo & Peter Mayerhofer, 2015. "Strukturwandel und regionales Wachstum - wissensintensive Unternehmensdienste als Wachstumsmotor?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 145, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    18. Xing Shi & Yanrui Wu & Dingtao Zhao, 2014. "Knowledge intensive business services and their impact on innovation in China," Service Business, Springer;Pan-Pacific Business Association, vol. 8(4), pages 479-498, December.
    19. Joanna Wyszkowska-Kuna, 2016. "Financial Services Input as a Source of Economic Growth in the European Union Countries," FindEcon Chapters: Forecasting Financial Markets and Economic Decision-Making, in: Magdalena Osińska (ed.), Statistical Review, vol. 63, 2016, 3, edition 1, volume 63, chapter 3, pages 289-308, University of Lodz.
    20. Christiane Hipp & Jorge Gallego & Luis Rubalcaba, 2015. "Shaping innovation in European knowledge-intensive business services," Service Business, Springer;Pan-Pacific Business Association, vol. 9(1), pages 41-55, March.
    21. Cook, Lisa D., 2011. "Inventing social capital: Evidence from African American inventors, 1843–1930," Explorations in Economic History, Elsevier, vol. 48(4), pages 507-518.

    More about this item

    Keywords

    R&D expenditures; R&D personnel; classification of knowledge intensity.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:2-part2:p:1104-1116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.