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Politechnika Morska w Szczecinie

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Author Twardochleb, Michał
Affiliation West Pomeranian University of Technology Faculty of Computer Science and Information Technology 49 Żołnierska St., 71-210 Szczecin, Poland
E-mail mtwardochleb@gmail.com
ISSN printed 1733-8670
URI https://repository.am.szczecin.pl/handle/123456789/2410
Abstract In the modern economy, effective teamwork is essential in the majority of industries. Teams of specialists such as crewmen and software developers need to be able to work together properly. The appropriate selection of team specialists according to their soft competencies results in synergies, and streamlines tasks. This paper presents the results of studies aimed at assessing the impact of team role configurations on overall team performance.
Pages 109–115
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords effectiveness
Keywords optimal team member selection
Keywords synergy
Keywords teamwork
Keywords Belbin’s theory
Keywords team roles
Title Optimal selection of team members according to Belbin’s theory
Type Original scientific article
References
  1. Batenburg, R., van Walbeek, W. & in der Maur, W. (2013) Belbin role diversity and team performance: is there a relationship? Journal of Management Development 32, 8, pp. 901–913. https://doi.org/10.1108/JMD-08- 2011-0098
  2. Belbin, M.R. (2004) Management Teams: Why they Succeed or Fail. 2nd edition. Butterworth Heinemann.
  3. Belbin, M.R. (2010) The changing shape of organisation. In: Team Roles at Work, pp. 133–147. https://doi.org/10.1016/ B978-1-85617-800-6.10012-8
  4. Markowski, K. (2016) The effectiveness of project team selection with use of Belbin’s team role survey based on IT students. Diploma thesis under the supervision of M. Twardochleb.
  5. Pietruszkiewicz, W., Twardochleb, M. & Roszkowski, M. (2011) Hybrid approach to supporting decision making processes in companies. Control and Cybernetics 40, 1, pp. 125–143.
  6. Rejer, I. (2015) Genetic algorithm with aggressive mutation for feature selection in BCI feature space. Pattern Analysis and Applications 18, 3, pp. 485–492. https://doi. org/10.1007/s10044-014-0425-3
  7. Rosenthal, R. & Jacobson, L. (1968) Pygmalion in the classroom. The Urban Review 3, 1, pp. 16–20. https://doi. org/10.1007/BF02322211
  8. Smith, M., Polglase, G. & Parry, C. (2012) Construction of Student Groups Using Belbin: Supporting Group Work in Environmental Management. Journal of Geography in Higher Education 36, 4, pp. 585–601. https://doi.org/ 10.1080/03098265.2012.692156
  9. Twardochleb, M. (2014) Dobór zespołów projektowych z wykorzystaniem metod stochastycznych. Informatyka Ekonomiczna = Business Informatics 1 (31), pp. 223–236. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.
  10. Twardochleb, M., Król, T., Włoch, P. & Kuka, B. (2013) Effectiveness of hybrid optimization methods in solving test problems and practical issues. Informatyka Ekonomiczna = Business Informatics 4, 30, pp. 279–289. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.
  11. Witkowski, S.A. & Ilski, S. (2000) Walidacja Kwestionariusza Ról Zespołowych. Przegląd Psychologiczny 43, 1, pp. 47–64.
ISSN on-line 2392-0378
Language English
Funding No data
Figures 0
Tables 4
DOI 10.17402/238
Published 2017-09-27
Accepted 2017-09-15
Recieved 2017-05-08


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