University of Twente Student Theses
Identifying the impact of team composition on SWOT analysis : an fsQCA study at a Dutch purchasing firm
Lammers, Y. (2022) Identifying the impact of team composition on SWOT analysis : an fsQCA study at a Dutch purchasing firm.
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| Abstract: | Through a literature review it was concluded that team-level factors and their effects on SWOT are poorly understood in literature. Team-level factors are defined in this study as team size, hierarchy, structure, composition and leadership. These factors are expected to influence SWOT team performance and effectiveness and should therefore be studied to gain insight into the optimal SWOT approach. Six workshops were performed by 2 to 6 members of a Dutch purchasing consultancy firm. A fuzzy-set qualitative comparative analysis (fsQCA) is applied to survey data. Nine team-level input variables are studied as independent variables on three dependent variables. Of which two measures for SWOT team effectiveness and one measure for performance. This study has presented statistical proof of team-level factors influencing SWOT team effectiveness and performance. Although further research can be performed to include more variables and increase the size and diversity of the dataset, new insights into team formulation have already been generated. The practicing manager should be aware of team-level factor influence and form their strategic planning teams accordingly. Especially since this study’s findings sometimes contract common knowledge found in literature. To illustrate, diversity in teams is not necessarily beneficial and teams can benefit from being relatively small. |
| Item Type: | Essay (Master) |
| Clients: | AevesBenefit, Amsterdam, The Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | https://purl.utwente.nl/essays/92637 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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