Quality of Project Team in Traditional Project Management Using Fuzzy Numbers
Journal of Public Policy and Administration
Volume 3, Issue 4, December 2019, Pages: 92-97
Received: Oct. 28, 2019; Accepted: Nov. 19, 2019; Published: Nov. 27, 2019
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Jan Betta, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland
Joanna Iwko, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland
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This paper is a continuation and development of the same authors paper which has been published recently. The presented paper pertains to the notion of quality of project team in traditional project management. A paradox is observed in the state of art of the project team quality in project management. All specialists recognize the exceptional importance of the parameter “quality” for the final result of the project. On the one hand, one can easily find definitions of project quality, quality of product of the project, quality of the project management processes, and so on. On the other hand, a huge number of bibliographical sources considers the project team functioning, as a sine qua non condition of the project success. The notion “project team quality” is quasi absent in the literature. In this paper an approach is proposed to fill in this gap, in the form of a proposal of the model, which defines the project team quality and allows to measure it. The main results of the previous paper of the authors, particularly guidelines for the quality model of the project team, are briefly presented. The paper presented here has a conceptual character. The main part of the paper are guidelines for the quality model of the project team: general assumptions, measure of the quality of team – classical and with use of fuzzy numbers, based on Myers-Briggs method and Belbin test, and finally, an impact of the quality of the project team on the team management is discussed. The objective of this paper is to show the possibility to define the project team quality process, which ensures not only the optimal level of the team quality, but also allows undertake valuable managerial decisions during the project life cycle.
Project Team, Model of Project Team Quality, Project Team Quality Measure, Fuzzy Numbers
To cite this article
Jan Betta, Joanna Iwko, Quality of Project Team in Traditional Project Management Using Fuzzy Numbers, Journal of Public Policy and Administration. Vol. 3, No. 4, 2019, pp. 92-97. doi: 10.11648/j.jppa.20190304.13
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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