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A multidimensional approach to academic productivity

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  • Benedetto Torrisi

    (Catania University)

Abstract

This study represents one of the first attempts to use empirical analysis to estimate academic productivity complex and proves the thesis that academic productivity is a function of multidimensional combination of the work of academic researchers: the scientific work, education, and external relationships. Given the complexity of academic productivity, it is necessary to clarify that it is divided into scientific productivity of the first type (scientific publications); scientific productivity of the second type (awards and academic positions); productivity in terms of external relationships (or external advice); and educational productivity. This objective of this paper is achieved through a sample survey (2,738 academics responded) conducted by Italian researchers from the PIR research project. The results obtained, however (as a case of estimates obtained using the results of a sample survey), are the result of a working reality that Italian academics are flooded by a myriad of activities that are not always consistent with the primary aims of the work of a researcher with an organisational and environmental well-being at the limit of iper productivity (or hyper productivity). The overall productivity (academic productivity) is significantly correlated with the four dimensions: average annual scientific productivity of the first type, average annual scientific productivity of the second type, the productivity external advice and, lastly, teaching productivity. The estimate of the sizes for the four indicators of productivity are the result of a literature search of the primary techniques used to assess productivity in academia. By comparing the most significant indicators, we managed to select all of the technical aspects missing in the Italian system of evaluation. This process allowed for us to add additional variables characterising the various aspects of productivity and prove the validity of our theory about the multidimensionality of academic productivity.

Suggested Citation

  • Benedetto Torrisi, 2014. "A multidimensional approach to academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 755-783, June.
  • Handle: RePEc:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-013-1149-7
    DOI: 10.1007/s11192-013-1149-7
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    References listed on IDEAS

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    1. Elizabeth A. Corley, 2005. "How Do Career Strategies, Gender, and Work Environment Affect Faculty Productivity Levels in University‐Based Science Centers?1," Review of Policy Research, Policy Studies Organization, vol. 22(5), pages 637-655, September.
    2. repec:adr:anecst:y:1998:i:49-50:p:05 is not listed on IDEAS
    3. Mary Frank Fox & Sushanta Mohapatra, 2007. "Social-Organizational Characteristics of Work and Publication Productivity among Academic Scientists in Doctoral-Granting Departments," The Journal of Higher Education, Taylor & Francis Journals, vol. 78(5), pages 542-571, September.
    4. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    5. Mario Calderini & Chiara Franzoni, 2004. "Is academic patenting detrimental to high quality research? An empirical analysis of the relationship between scientific careers and patent applications," KITeS Working Papers 162, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2004.
    6. Stefano Breschi & Francesco Lissoni & Fabio Montobbio, 2006. "University patenting and scientific productivity. A quantitative study of Italian academic inventors," KITeS Working Papers 189, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2006.
    7. Gulbrandsen, Magnus & Smeby, Jens-Christian, 2005. "Industry funding and university professors' research performance," Research Policy, Elsevier, vol. 34(6), pages 932-950, August.
    8. Stefano Lucantoni & Giovanni Abramo, 2003. "Ricerca pubblica e trasferimento tecnologico: Il caso del Consiglio Nazionale delle Ricerche," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2003(119).
    9. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    10. Graves, Philip E & Marchand, James R & Thompson, Randal, 1982. "Economics Departmental Rankings: Research Incentives, Constraints, and Efficiency," American Economic Review, American Economic Association, vol. 72(5), pages 1131-1141, December.
    11. James D. Adams & Zvi Griliches, 1998. "Research Productivity in a System of Universities," Annals of Economics and Statistics, GENES, issue 49-50, pages 127-162.
    12. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
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    2. Harlley Lima & Thiago H. P. Silva & Mirella M. Moro & Rodrygo L. T. Santos & Wagner Meira & Alberto H. F. Laender, 2015. "Assessing the profile of top Brazilian computer science researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 879-896, June.
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    More about this item

    Keywords

    Academic productivity complex; Scientific productivity; Assignments and awards; Patents and service productivity; Didactics productivity;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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