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Relationship clusters and performance of conflict management strategies in cross-organisational projects teams

Titus Ebenezer Kwofie (Department of Architecture, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana) (Faculty of Engineering and the Built Environment, Construction Industry Development Board (CIDB) Center of Excellence, University of Johannesburg, Johannesburg, South Africa)
Florence Akyaa Ellis (Department of Human Resource and Organisational Development, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)
Michael Nii Addy (Department of Construction Technology and Management, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana) (Faculty of Engineering and the Built Environment, Construction Industry Development Board (CIDB) Center of Excellence, University of Johannesburg, Johannesburg, South Africa)
Samuel Amos-Abanyie (Department of Architecture, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)
Clinton Aigbavboa (Department of Construction Management, University of Johannesburg, Auckland Park, South Africa)
Samuel Owusu Afram (Department of Architecture, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)

International Journal of Productivity and Performance Management

ISSN: 1741-0401

Article publication date: 14 March 2023

Issue publication date: 6 March 2024

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Abstract

Purpose

The link between relationship typologies and effectiveness of conflict resolution approaches remains to be tested despite its significance in conflict management in construction project delivery. By using the four relationships attributes based on the group attachment theory, the purpose of the study was to explore the cluster of relationships among project teams and organisations and the performance of conflict management strategies across these clusters in the Ghanaian construction industry.

Design/methodology/approach

Using a deductive questionnaire survey in the Ghanaian construction industry, a total of 137 responses were gathered and analyzed using cluster analysis, mean scores and ANOVA to reveal the relationship clusters and performance of conflict management strategies across these clusters.

Findings

The results revealed eight relationship clusters that exist among project teams and organisations with distinct influence of roles & tasks function, cognition, emotions and behavior attributes across the relationship clusters. In the aspect of the effectiveness of conflict management strategies, it was noted that the performance of these strategies were significantly different across the groups. For instance, integrating as a conflict management strategy was deemed to be effective in resolving conflict in unitary, adversarial, pluralist, mutuality, collaborative and partnering relationship clusters. In the case of coopetitive and coercive relationships, the performance of integrating as a conflict management strategy was less effective. This study thus has empirically proved that, different relationship clusters of teams and organizations exist within the Ghanaian construction industry, and that they perform different roles & tasks functions, cognition, emotions and behavioural attributes in their formation. Additionally, the performance effectiveness of conflict management strategies differed across the relationship clusters.

Originality/value

By aligning the relationship attributes to the dynamics of relationship clusters experienced in project teams and organisations, relationship quality, suitability and effectiveness of conflict management strategies can be optimized. The findings can inform project teams and stakeholders to develop fit-for-purpose relationship attributes among teams and organisations to enhance team effectiveness, relationship quality and conflict management in the industry.

Keywords

Citation

Kwofie, T.E., Ellis, F.A., Addy, M.N., Amos-Abanyie, S., Aigbavboa, C. and Afram, S.O. (2024), "Relationship clusters and performance of conflict management strategies in cross-organisational projects teams", International Journal of Productivity and Performance Management, Vol. 73 No. 3, pp. 676-699. https://doi.org/10.1108/IJPPM-09-2021-0504

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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