Impact of knowledge growth and team composition on the co-located software project performance

Supriya Kumar Ghatak and Biswajit Mahanty

Knowledge Management Research & Practice, 2023, vol. 21, issue 2, 397-411

Abstract: This paper presents a conceptual model that measures the knowledge growth and team-composition impact on the performance of a co-located software project. Inspiration for the development of the conceptual model is obtained from previous literature and focus-group-discussions. The model is validated with the help of the data obtained from two co-located software modules. A set of team-composition scenarios for different team knowledge-processing-abilities and team-seniority ratios are used to evaluate and compare the effect of the proposed model on a co-located team performance. The performance is measured in terms of total costs, extent of faulty-work and rework cost. It has been found that teams comprising of medium level of experience and medium-to-high knowledge-processing-ability provide good compromising solutions with lower total costs, less faulty-work and less cost of rework. The proposed model may act as a decision-support tool to the co-located software project managers during team composition in order to improve performance.

Date: 2023
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DOI: 10.1080/14778238.2021.1939173

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