Journal of Public Policy and Administration

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Quality of Project Team in Traditional Project Management Using Fuzzy Numbers

Received: Oct. 28, 2019    Accepted: Nov. 19, 2019    Published: Nov. 27, 2019
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Abstract

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.

DOI 10.11648/j.jppa.20190304.13
Published in Journal of Public Policy and Administration ( Volume 3, Issue 4, December 2019 )
Page(s) 92-97
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Project Team, Model of Project Team Quality, Project Team Quality Measure, Fuzzy Numbers

References
[1] Betta J., Iwko J., Draft of Project Team Quality Model in Traditional Project Management, Proceedings of FEBM Conference, Atlantis Press, 2019.
[2] Wysocki R. K., Effective project Management, Edition HELION, 2017, in polish.
[3] https://standishgroup.com/about [access: 27.01.2019].
[4] Highsmith J., APM: Agile Project Management. How develop innovative products, Warsaw, Mikom, 2005, in polish.
[5] ICB - IPMA Competence Baseline –ver. 3.0, Red. Dałkowski B., Staśto L., Zalewski M., Gdańsk, Editor IPMA Poland, 2009, in polish.
[6] Spałek S., Critical factors of success in project management, Silesian University of Technology, Gliwice, 2004, in polish.
[7] Wong Z., Human factors in project management, San Francisco, Jossey-Bass, 2007.
[8] Frame J. D., Managing Projects in Organisations. How to Make the Best Use of Time, Techniques and People. Jossey-Bass Inc., Publishers, 1995.
[9] Darnall R. W., The World's Greatest Project. One Project Team on the Path to Quality. A Project Management Institute Book, 1996.
[10] Ortsman O., Quel travail pour demeain? Dunod, Paris, 1995.
[11] Janusz K., Wiśniewska J. (ed.), Project Management in Organisation, Difin, Warsaw, 2014, in polish.
[12] Pittenger D. J., Measuring the MBTI... And Coming Up Short http://www.myersbriggs.org/my–mbti–personality–type/mbti–basics.
[13] Kopczewski M., Szwarc E., Using MBTI technique in project team building, http://www.ptzp.org.pl/files/konferencje/kzz/artyk_pdf_2009/065_Kopczewski_Szwarc_a2.pdf, in polish.
[14] Belbin M., Team Roles at Work, Gdansk Psychological Editions, Gdańsk 2008, in polish.
[15] Pracownia Testów, https://www.blog.pracowniatestow.com/index.php/testy-psychologiczne/coaching-kariery/test-rol-zespolowych/, in polish.
[16] Hersey P., Blanchard K. H., Management of organizational behavior, Englewood Cliffs, New Jersey 1988.
[17] Wawak S., Wybrane cechy jakości w zarządzaniu projektami, Quality Journal 2018, no 1, in polish.
[18] Heisler S. I., Project quality and the project manager, International Journal of Project Management 1990, Volume 8, Issue 3.
[19] Anderson S. D., Project quality and project managers, International Journal of Project Management 1992, Volume 10, Issue 3.
[20] Chang Y. F., Ishii H., Fuzzy Multiple Criteria Decision Making Approach to assess the Project Quality Management in Project, Procedia Computer Science 2013, no 22.
[21] Basu R., Managing quality in projects: An empirical study, International Journal of Project Management 2014, no 32.
[22] Ling F. Y. Y., Ning Y., Ke Y., Kumaraswamy M. M., Modeling relational transaction and relationship quality among team members in public projects in Hong Kong, Automation in Construction 2013, no 36.
[23] Lindsjørn Y., Sjøberg D. I. K., Dingsøyr T., Bergersen G. R., Dybå T., Teamwork quality and project success in software development: A survey of agile development teams, The Journal of Systems and Software 2016, no 122.
[24] Feigenbaum A. V., Total Quality Control. McGraw-Hill, New York 1983.
[25] Deming W. E., Out of the Crisis. MIT Press 1986.
[26] Juran J. M., Juran on Leadership for Quality: an executive handbook. Free Press, New York 1989.
[27] Bank J., The essence of total quality management, Prentice Hall International, London 1992.
[28] Crosby Ph., Quality is free: the art of making quality certain. McGraw-Hill, New York 1992.
[29] ISO 9000: 2015 – Quality management systems – Fundamentals and vocabulary.
[30] Prince 2 – Projects in Controlled Environment, Office of Government Commerce, London 2009.
[31] Project Management Institute Inc., A Guide To The Project Management Body of Knowledge (PMBOK® Guide – Sixth Edition), 2017.
[32] Kuchta D., Soft mathematics in Management, Wroclaw University of Science and Technology ed. 2001, in polish.
[33] Zadeh L. A., Fuzzy Sets. Information and Control no 8, 1965.
[34] Schwaber K., Sutherland J., The Scrum Guide. The Definitive Guide to Scrum: The Rules of the Game, https://www.scrumguides.org/docs/scrumguide/v2017/2017-Scrum-Guide-US.pdf.
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  • APA Style

    Jan Betta, Joanna Iwko. (2019). Quality of Project Team in Traditional Project Management Using Fuzzy Numbers. Journal of Public Policy and Administration, 3(4), 92-97. https://doi.org/10.11648/j.jppa.20190304.13

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    ACS Style

    Jan Betta; Joanna Iwko. Quality of Project Team in Traditional Project Management Using Fuzzy Numbers. J. Public Policy Adm. 2019, 3(4), 92-97. doi: 10.11648/j.jppa.20190304.13

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    AMA Style

    Jan Betta, Joanna Iwko. Quality of Project Team in Traditional Project Management Using Fuzzy Numbers. J Public Policy Adm. 2019;3(4):92-97. doi: 10.11648/j.jppa.20190304.13

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  • @article{10.11648/j.jppa.20190304.13,
      author = {Jan Betta and Joanna Iwko},
      title = {Quality of Project Team in Traditional Project Management Using Fuzzy Numbers},
      journal = {Journal of Public Policy and Administration},
      volume = {3},
      number = {4},
      pages = {92-97},
      doi = {10.11648/j.jppa.20190304.13},
      url = {https://doi.org/10.11648/j.jppa.20190304.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jppa.20190304.13},
      abstract = {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.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Quality of Project Team in Traditional Project Management Using Fuzzy Numbers
    AU  - Jan Betta
    AU  - Joanna Iwko
    Y1  - 2019/11/27
    PY  - 2019
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    DO  - 10.11648/j.jppa.20190304.13
    T2  - Journal of Public Policy and Administration
    JF  - Journal of Public Policy and Administration
    JO  - Journal of Public Policy and Administration
    SP  - 92
    EP  - 97
    PB  - Science Publishing Group
    SN  - 2640-2696
    UR  - https://doi.org/10.11648/j.jppa.20190304.13
    AB  - 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.
    VL  - 3
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    ER  - 

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Author Information
  • Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

  • Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

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