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Work Force Composition and Innovation: How Diversity in Employees’ Ethnical and Disciplinary Backgrounds Facilitates Knowledge Re-combination

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  • Mohammadi, Ali

    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • Broström, Anders

    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • Franzoni, Chiara

    (Politecnico di Milano)

Abstract

In this paper, we study how workforce composition is related to firm’s radical innovation. Previous studies have argued that teams composed by individuals with diverse background are able to perform more information processing and make a deeper use of the information, which is important to accomplish complex tasks. We suggest that this argument can be extended to the level of the aggregate workforce of high technology firms. Our theoretical interest is focused on the extent to which insights from the literatures on science and invention can be applied to firms’ abilities to achieve radical innovation. In particular, we argue that having a set of employees with greater ethnical and higher education diversity is associated with superior radical innovation performance. Using a sample of 3,888 Swedish firms, we find that greater workforce ethnic diversity is positively correlated to the share of a firm’s turnover generated by radical innovation, while it is neutral to incremental innovation. Greater diversity in terms of higher educational disciplinary background of the workforce is positively correlated to the share of turnover generated by both radical and incremental innovation. Contrary to our hypothesis, we also find that having more external collaborations reduces the importance of a workforce with a diverse disciplinary background, while the importance of ethnic diversity is hold unchanged. Our findings hold after using alternatives measures of dependent and independent variables, alternative sample sizes, and alternative estimation techniques including panel data, and structural equation modeling for simultaneous estimation of diversity, R&D intensity and external search.

Suggested Citation

  • Mohammadi, Ali & Broström, Anders & Franzoni, Chiara, 2015. "Work Force Composition and Innovation: How Diversity in Employees’ Ethnical and Disciplinary Backgrounds Facilitates Knowledge Re-combination," Working Paper Series in Economics and Institutions of Innovation 413, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0413
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    More about this item

    Keywords

    Ethnic diversity; Education diversity; External search; Radical innovation;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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