University of Twente Student Theses
Contract Attribute Analysis for Optimal Contract Type Selection in Asset Management : An fsQCA Study
Welles, Jens (2025) Contract Attribute Analysis for Optimal Contract Type Selection in Asset Management : An fsQCA Study.
PDF
2MB |
Abstract: | Purpose: This research addresses IJssel Technology Services' challenge in selecting optimal contract types following their 2023 strategic shift toward service-oriented operations. The study aims to identify which combinations of contract attributes lead to successful outcomes and develop a data-driven model for contract type selection to maximize profitability. Design/Methodology: The study employs a mixed-methods approach combining Fuzzy-set Qualitative Comparative Analysis (fsQCA) of 33 contracts, analysis of historical contract data, expert interviews with key stakeholders, and literature review on contract theory and risk management. The collected results and findings are used in a recommendation tool to select the most suitable contract type for IJssels’ future projects. Findings: The fsQCA analysis revealed three pathways to successful contract outcomes. First, complex projects succeed with well-defined scope and mature client characteristics. Second, high-risk projects achieve success through well-defined scope and mature clients. Third, non-complex projects succeed with less mature clients when scope is well-defined and risks are low. A practical contract recommendation tool was developed based on five key attributes: total risk, client characteristics, improvement potential, project complexity, and risk-taking willingness. Practical Implications: The study provides IJssel with a systematic, data-driven approach to contract selection through a decision-support tool for contract type recommendations. It offers guidelines for transitioning from Cost-Plus to Performance-Based contracts as client maturity increases, along with a framework for evaluating project contexts and risk factors. The research establishes a structured approach for scope definition and client assessment. Originality/Value: This research fills a gap in asset management literature by providing empirical evidence for successful contract attribute combinations and developing a practical framework for contract selection. The study's unique contribution lies in its integration of fsQCA analysis with operational decision-making tools, offering both theoretical insights and practical applications for service-oriented asset management organizations. |
Item Type: | Essay (Master) |
Clients: | IJssel Technology Servives, Zwolle, 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/105222 |
Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page