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Quality of scrum team management using fuzzy numbers

Betta Jan, Iwko Joanna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2022

z. 157

63--81

Purpose: This paper is a continuation and development of the same authors two papers which 10 have been published recently, and have been devoted to the Quality of Project Team in classical – in the project management methodology sense – approach. The presented paper pertains to the notion of quality of project team in Scrum project management framework. 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 16 of the project, quality of the project management processes, and so on. On the other hand, a huge majority of bibliographical sources consider the project team functioning, as a sine qua non condition of the project success. The notion “Scrum Team Quality” appears seldom in the literature. In this paper an approach is proposed to fill in this gap. Design/methodology/approach: In this paper an approach is proposed, by the proposal of the model, based on fuzzy numbers, which defines the Scrum Team Quality, its measure, and the processes of such quality management. The process of Scrum Team Quality Management building consists of: Scrum Team Quality definition, methods of such quality measurement, and three phases of Scrum Team members selection: processes of MBTI – first pre-selection, Belbin – second pre-selection, and Scrum Team Quality standards complying as a final selection of the Scrum Team, insuring its optimal content. Findings: The appropriate model of Scrum Team quality management using fuzzy numbers is developed. Originality/value: The originality of the paper consists in: defining the Scrum Team management quality, the manner of its measurement using fuzzy numbers, and exemplary simulations of Scrum Team members selection using Belbin method, equipped with fuzzy numbers apparatus.