IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v49y2000i2d10.1023_a1010525304244.html
   My bibliography  Save this article

Driving Factors of High Performance in Brazilian Management Sciences for the 1981–1995 Period

Author

Listed:
  • Júlio Cesar Rodrigues Pereira

    (Institute Dante Pazzanese of Cardiology)

  • André Luiz Fischer

    (University of São Paulo)

  • Maria Mercedes Loureiro Escuder

    (Institute of Health)

Abstract

As a corollary of former studies, high performance in Brazilian Management Sciences during the period of 1981 to 1995 is put to scrutiny. Information on the 66 papers registered to this field in the ISI databases for this time interval were retrieved, edited and processed as to elicit patterns. Occurrences of highly cited papers seemed haphazard but the presence of collaborative work consistently emerged as an important driving factor for good performance. International collaboration showed the most expressive impact over chances of citation but any form of collaboration seemed to have some effect, even those represented by single authors with double allegiance. Simple addition of authors, nonetheless, had no effect, and thus collaboration involving authors of common institutional affiliation showed the performance of single authored papers. Cluster analysis allowed the identification of patterns of performance, and groups of best performers showed higher levels of international collaboration. The institutional composition of the clusters is presented.

Suggested Citation

  • Júlio Cesar Rodrigues Pereira & André Luiz Fischer & Maria Mercedes Loureiro Escuder, 2000. "Driving Factors of High Performance in Brazilian Management Sciences for the 1981–1995 Period," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 307-319, October.
    • Handle: RePEc:spr:scient:v:49:y:2000:i:2:d:10.1023_a:1010525304244
    DOI: 10.1023/A:1010525304244
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1010525304244
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1010525304244?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. W. Glänzel & A. Schubert & U. Schoepflin & H. J. Czerwon, 1999. "An item-by-item subject classification of papers published in journals covered by the SSCI database using reference analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 431-441, November.
    2. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    3. Isabel Gómez & Rosa Sancho & Luz Moreno & María Teresa Fernández, 1999. "Influence of Latin American journals coverage by international databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 443-456, November.
    4. M. Luwel, 1999. "Is the science citation index US-biased?," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 549-562, November.
    5. W. Glänzel & A. Schubert & H. -J. Czerwon, 1999. "An item-by-item subject classification of papers published in multidisciplinary and general journals using reference analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 427-439, March.
    6. Lydia L. Lange & P. A. Frensch, 1999. "Gaining scientific recognition by position: Does editorship increase citation rates?," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 459-486, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guillermo Armando Ronda-Pupo & Carlos Díaz-Contreras & Guillermo Ronda-Velázquez & Jorge Carlos Ronda-Pupo, 2015. "The role of academic collaboration in the impact of Latin-American research on management," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1435-1454, February.
    2. Jonathan M. Levitt & Mike Thelwall, 2010. "Does the higher citation of collaborative research differ from region to region? A case study of Economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 171-183, October.
    3. Zhenyue Zhao & Xuelian Pan & Weina Hua, 2021. "Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 931-950, February.
    4. Hajime Eto, 2002. "Authorship and citation patterns in Management Science in comparison with operational research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 337-349, March.
    5. Jonathan M. Levitt, 2015. "What is the optimal number of researchers for social science research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 213-225, January.

    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. Diana Hicks, 2005. "The Four Literatures Of Social Sciences," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 1(1), pages 1-20.
    2. Diana Hicks, 2005. "The Four Literatures Of Social Sciences," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 1(1), pages 1-1.
    3. Dorothea Jansen & Regina Görtz & Richard Heidler, 2010. "Knowledge production and the structure of collaboration networks in two scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 219-241, April.
    4. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    5. Antonio J. Gómez-Núñez & Benjamín Vargas-Quesada & Félix Moya-Anegón & Wolfgang Glänzel, 2011. "Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 741-758, December.
    6. Staša Milojević, 2020. "Nature, Science, and PNAS: disciplinary profiles and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1301-1315, June.
    7. Xiaoyu Cai & Tao Han, 2020. "Analysis of the division of labor in China’s high-quality life sciences research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1077-1094, November.
    8. Bluma C. Peritz & Judit Bar-Ilan, 2002. "The sources used by bibliometrics-scientometrics as reflected in references," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 269-284, June.
    9. Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
    10. Yinian Gu, 2004. "Global knowledge management research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(2), pages 171-190, October.
    11. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
    12. Asna Ashari, Parsa & Blind, Knut & Koch, Claudia, 2023. "Knowledge and technology transfer via publications, patents, standards: Exploring the hydrogen technological innovation system," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    13. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    14. Bo Jarneving, 2010. "Regional research and foreign collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 295-320, April.
    15. Liming Liang & Ronald Rousseau, 2009. "Bibliometric characteristics of the journal Science: Pre-Koshland, Koshland and post-Koshland period," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 359-372, August.
    16. Colliander, Cristian & Ahlgren, Per, 2011. "The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments," Journal of Informetrics, Elsevier, vol. 5(1), pages 101-113.
    17. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
    18. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    19. Péter Vinkler, 2002. "Subfield problems in applying the Garfield (Impact) Factors in practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 267-279, February.
    20. Gersbach, Hans & Schneider, Maik & Schneller, Olivier, 2010. "Optimal Mix of Applied and Basic Research, Distance to Frontier, and Openness," CEPR Discussion Papers 7795, C.E.P.R. Discussion Papers.

    More about this item

    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:spr:scient:v:49:y:2000:i:2:d:10.1023_a:1010525304244. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.