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Co-Authorship Recognition Antecedents: the Brazilian research community case

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  • Charles Kirschbaum
  • André Mascarenhas
  • Felipe Zambaldi
  • Suzane Strehlau

Abstract

The present paper explores the antecedents of co-authorship recognition in the Brazilian community of business administration research. Confronted with schematic vignettes encompassing varying levels of ambiguous and power-asymmetric situations, respondents exposed their positioning vis-à-vis co-authorship. Respondents identified the Brazilian community as favoring extrinsic exchanges (i.e., recognition is granted independently from effort invested in the research itself) even at situations where there was neither ambiguity that low effort was invested by the benefitting parties, nor power-asymmetric relationships. In contrast, individuals’ beliefs leaned towards intrinsic exchanges, with mixed results at low-ambiguity and high power asymmetric relations.

Suggested Citation

  • Charles Kirschbaum & André Mascarenhas & Felipe Zambaldi & Suzane Strehlau, 2012. "Co-Authorship Recognition Antecedents: the Brazilian research community case," Business and Economics Working Papers 149, Unidade de Negocios e Economia, Insper.
  • Handle: RePEc:aap:wpaper:149
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    File URL: https://repositorio.insper.edu.br/handle/11224/5934
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    1. Michel Tenenhaus & Forrest Young, 1985. "An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 91-119, March.
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