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Drivers of academic performance in a Brazilian university under a government-restructuring program

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  • Diniz-Filho, José Alexandre F.
  • Fioravanti, Maria Clorinda S.
  • Bini, Luis Mauricio
  • Rangel, Thiago Fernando

Abstract

The search for correlates of scientific production is an important step toward the formulation of decision-making guidelines on academic and funding policy under a competitive system with continuously reduced budgets. Our goal here is to identify drivers of the scientific production of researchers working at the “Universidade Federal de Goiás” (UFG), a medium-to-large public Brazilian University, focusing on the effects of teaching load and supervision of graduate and undergraduate students on scientific production of faculty members. We analyzed data for 1487 faculty members of UFG, including the total number of papers published between 2011–2013, a weighted-index of scientific production and the number of publications in high-ranked journals (according to a Brazilian system of journal ranking in different areas). These variables were regressed on gender, teaching load at undergraduate and graduate levels, number of supervised undergraduate, Master and Doctoral students, self-declared amount of time dedicated to research and outreach, year of doctoral graduation, year of hiring and the scientific production before doctoral graduation. Several regression models were used to model scientific production, including ordinary least-square regression and Hurdle negative binomial models. Although there are some differences among research areas, the most important explanatory variable was the publication record of the researcher before doctoral graduation, reinforcing the role of a solid academic formation in terms of research experience. Undergraduate and graduate teaching loads were negatively and positively correlated with scientific production, respectively. However, the strength of the relationship was much higher for the second than for the first relationship. These correlates of scientific production provide guidelines for policy and management in universities, including criteria for balancing research and teaching loads, awarding fellowships and research grants, designing new policy for future hiring and creation of new graduate programs.

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  • Diniz-Filho, José Alexandre F. & Fioravanti, Maria Clorinda S. & Bini, Luis Mauricio & Rangel, Thiago Fernando, 2016. "Drivers of academic performance in a Brazilian university under a government-restructuring program," Journal of Informetrics, Elsevier, vol. 10(1), pages 151-161.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:1:p:151-161
    DOI: 10.1016/j.joi.2015.12.004
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    as
    1. Benedetto Torrisi, 2013. "Academic productivity correlated with well-being at work," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 801-815, February.
    2. Rice, Patricia & Venables, Anthony J. & Patacchini, Eleonora, 2006. "Spatial determinants of productivity: Analysis for the regions of Great Britain," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 727-752, November.
    3. Cruz-Castro, Laura & Sanz-Menéndez, Luis, 2010. "Mobility versus job stability: Assessing tenure and productivity outcomes," Research Policy, Elsevier, vol. 39(1), pages 27-38, February.
    4. Carayol, Nicolas & Matt, Mireille, 2006. "Individual and collective determinants of academic scientists' productivity," Information Economics and Policy, Elsevier, vol. 18(1), pages 55-72, March.
    5. Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
    6. Kristof Witte & Nicky Rogge, 2010. "To publish or not to publish? On the aggregation and drivers of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 657-680, December.
    7. Gonzalez-Brambila, Claudia & Veloso, Francisco M., 2007. "The determinants of research output and impact: A study of Mexican researchers," Research Policy, Elsevier, vol. 36(7), pages 1035-1051, September.
    8. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "The impact of unproductive and top researchers on overall university research performance," Journal of Informetrics, Elsevier, vol. 7(1), pages 166-175.
    9. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    10. Vieira, E.S. & Gomes, J.A.N.F., 2010. "A research impact indicator for institutions," Journal of Informetrics, Elsevier, vol. 4(4), pages 581-590.
    11. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2015. "Should the research performance of scientists be distinguished by gender?," Journal of Informetrics, Elsevier, vol. 9(1), pages 25-38.
    12. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.
    13. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    14. Radu Silaghi-Dumitrescu & Augusta Sabau, 2014. "Scientometric analysis of relative performance in a key university in Romania," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 463-474, May.
    15. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    16. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    17. J. Corey Miller & Keith H. Coble & Jayson L. Lusk, 2013. "Evaluating top faculty researchers and the incentives that motivate them," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 519-533, December.
    18. Franceschet, Massimo & Costantini, Antonio, 2011. "The first Italian research assessment exercise: A bibliometric perspective," Journal of Informetrics, Elsevier, vol. 5(2), pages 275-291.
    19. A. Baccini & L. Barabesi & M. Cioni & C. Pisani, 2014. "Crossing the hurdle: the determinants of individual scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2035-2062, December.
    20. Clarice Gameiro Fonseca Pachi & Jorge Futoshi Yamamoto & Anna Paula Amadeu Costa & Luis Fernandez Lopez, 2012. "Relationship between connectivity and academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 265-278, November.
    21. Hans P. W. Bauer & Gabriel Schui & Alexander Eye & Günter Krampen, 2013. "How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 523-539, February.
    22. Akhmat, Ghulam & Zaman, Khalid & Shukui, Tan & Javed, Yasir & Khan, Muhammad Mushtaq, 2014. "Relationship between educational indicators and research outcomes in a panel of top twenty nations: Windows of opportunity," Journal of Informetrics, Elsevier, vol. 8(2), pages 349-361.
    23. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "Assessing the varying level of impact measurement accuracy as a function of the citation window length," Journal of Informetrics, Elsevier, vol. 5(4), pages 659-667.
    24. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "Individual research performance: A proposal for comparing apples to oranges," Journal of Informetrics, Elsevier, vol. 7(2), pages 528-539.
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