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Satisfaction, Work Involvement and R&D Performance

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Abstract

The purpose of this study was to investigate the contributions of Social Identify Theory’s variables to research performance. Regression models were applied on data of ten national research Council (Cnr) institutes of Piemonte, a highly industrialised region in North Western Italy.Results show that there is a low but positive correlation between performance and work satisfaction, which, the latter, has a strong positive correlation with the work involvement. Implications for R&D management are discussed

Suggested Citation

  • Mario Coccia, 2000. "Satisfaction, Work Involvement and R&D Performance," CERIS Working Paper 200006, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    • Handle: RePEc:csc:cerisp:200006
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    1. Alessandro Sembenelli & Laura Rondi & Fabio Schiantarelli & Brian Sack, 1993. "Firms' Financial And Real Responses To Business Cycle Shocks And Monetary Tightening: Evidence For Large And Small Italian Companies," CERIS Working Paper 199305, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
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    Cited by:

    1. Mario Coccia, 2017. "Disruptive technologies and competitive advantage of firms in dynamic markets," IRCrES Working Paper 201704, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    2. Mario Coccia & Igor Benati, 2017. "What is the relation between public manager compensation and government effectiveness? An explorative analysis with public management implications," quaderni IRCrES 201701, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    3. Mario Coccia & Igor Benati, 2018. "A new taxonomy of rewards in public administration for management implications," IRCrES Working Paper 201802, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    4. Coccia, Mario, 2022. "Probability of discoveries between research fields to explain scientific and technological change," Technology in Society, Elsevier, vol. 68(C).
    5. Mario Coccia, 2018. "National debts and government deficits within European Monetary Union: Statistical evidence of economic issues," Papers 1806.07830, arXiv.org.
    6. Coccia, Mario, 2016. "The relation between price setting in markets and asymmetries of systems of measurement of goods," The Journal of Economic Asymmetries, Elsevier, vol. 14(PB), pages 168-178.
    7. Ralf Bebenroth & Jose O.L. Berengueres, 2020. "New hires' job satisfaction time trajectory," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 20(1), pages 61-74.
    8. Mario COCCIA, 2018. "Violent crime driven by income Inequality between countries," Turkish Economic Review, KSP Journals, vol. 5(1), pages 33-55, March.
    9. Mario Coccia, 2017. "Measurement of Economic Growth, Development and Under Development: New Model and Application," Papers 1704.05015, arXiv.org.
    10. Coccia, Mario, 2017. "Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 17-31.
    11. Mario Coccia, 2018. "Socioeconomic driving forces of scientific research," Papers 1806.05028, arXiv.org.
    12. Mario Coccia, 2017. "General purpose technologies in dynamic systems: visual representation and analyses of complex drivers," IRCrES Working Paper 201705, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    13. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    14. Mario Coccia, 2017. "The relation between typologies of executive and technological performances of nations," IRCrES Working Paper 201701, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    15. Mario Coccia, 2018. "Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations," The Journal of Technology Transfer, Springer, vol. 43(3), pages 792-814, June.

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    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • 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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