S.E.M.A. Elmohr
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Exploring the acceptance of innovation based on standardization in a construction programme
The role of uniqueness bias in the acceptance of innovation
This thesis investigates the role of uniqueness bias in the acceptance of innovation based on standardization within construction programs, using the Programma Bruggen en Kademuren (PBK) as a case study. The research aims to bridge the gap in the literature regarding uniqueness bias and the acceptance of standardized innovation in the construction industry. Initially, a literature review was conducted, leading to the formulation of two hypotheses. These hypotheses were tested through semi-structured interviews, after gaining insights into the innovation acceptance process within the programme. This involved both document reviews and exploratory interviews with individuals involved in the development of innovation in PBK. The findings reveal that PBK fosters innovation through internal development and external innovation partnerships. This information guided the creation of criteria and questions for the semi-structured interviews. The interviews were analysed using thematic analysis, revealing factors that influence the acceptance of standardized innovation, categorized into preconditions, barriers, and enablers. Specifically, three preconditions, eight barriers, and two enablers were identified. Upon comparing the interview results with the initial hypotheses, no supporting evidence was found for either hypothesis. The identified factors were then used to develop three intervention plans aimed at enhancing innovation acceptance within a programme. These interventions include establishing a clear baseline direction, creating an Innovation section within the programme forum, and implementing contractual flexibility for innovation integration. Each intervention plan is designed to address identified barriers and enhance enablers, thereby fostering an optimal environment for innovation acceptance in public construction programmes
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This thesis investigates the role of uniqueness bias in the acceptance of innovation based on standardization within construction programs, using the Programma Bruggen en Kademuren (PBK) as a case study. The research aims to bridge the gap in the literature regarding uniqueness bias and the acceptance of standardized innovation in the construction industry. Initially, a literature review was conducted, leading to the formulation of two hypotheses. These hypotheses were tested through semi-structured interviews, after gaining insights into the innovation acceptance process within the programme. This involved both document reviews and exploratory interviews with individuals involved in the development of innovation in PBK. The findings reveal that PBK fosters innovation through internal development and external innovation partnerships. This information guided the creation of criteria and questions for the semi-structured interviews. The interviews were analysed using thematic analysis, revealing factors that influence the acceptance of standardized innovation, categorized into preconditions, barriers, and enablers. Specifically, three preconditions, eight barriers, and two enablers were identified. Upon comparing the interview results with the initial hypotheses, no supporting evidence was found for either hypothesis. The identified factors were then used to develop three intervention plans aimed at enhancing innovation acceptance within a programme. These interventions include establishing a clear baseline direction, creating an Innovation section within the programme forum, and implementing contractual flexibility for innovation integration. Each intervention plan is designed to address identified barriers and enhance enablers, thereby fostering an optimal environment for innovation acceptance in public construction programmes
Complexity and Risk Assessment in Dutch infrastructure projects
A multiple case study on the Complexity Based Risk Assessment Method (CBRAM)
Master thesis
(2023)
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M.W.R. Rockx, M. Leijten, M.G.C. Bosch-Rekveldt, S.E.M.A. Elmohr, S. van der Veen
The Netherlands has encountered significant cost overruns and failures in complex infrastructure projects. To address these challenges, Rijkswaterstaat, the primary authority for soil, road, and waterway management, is shifting from large DBFM (Design, Build, Finance, and Maintain) contracts to simpler, risk-sharing models. This strategic move aims to make projects more predictable and manageable.
Andringa et al. (2022) examined this approach using the Complexity Based Risk Assessment Method (CBRAM), which ties project complexity elements to objectives through risk breakdown structures and registers, establishing causal paths among these components. Their study highlighted the need for broader application of CBRAM to validate its effectiveness.
This research explores how project complexity assessments can improve risk assessment in Dutch infrastructure projects using CBRAM. Through a literature review, case studies, and thematic analysis of semi-structured interviews, the study applied CBRAM to four project phases: Renovatie Krammersluizen (tender), Selectieve Onttrekking IJmuiden (construction), IJboulevard (evaluation), and Zeetoegang IJmuiden (maintenance). These applications revealed critical complexity-risk relationships and identified key project milestones and risk factors. The findings demonstrated that even with data not initially structured for CBRAM, the method could uncover significant insights into complexity-risk dynamics, enhancing project teams' communication and decision-making capabilities.
Interviewees provided further insights into the practical application and theoretical underpinnings of CBRAM. They appreciated the formalization of risk relationships, which supports strategic planning and resource allocation. The value of multiple complexity assessments, particularly during dynamic phases like tendering, was emphasized. Additionally, the potential for incorporating different perspectives on project complexity, including those of clients, was recognized.
The study recommends integrating the improved CBRAM+ model into the Dutch infrastructure sector's risk management toolkit, as it offers a valuable perspective on risk assessment. CBRAM+ emphasizes recording risk ownership, allocation, mitigating measures, and residual risks, and enhances communication about complexity-risk influences. It is also suggested that CBRAM+ be tested in projects to evaluate its performance and in contexts where clients and contractors collaborate to explore and share risks, such as in new contracting forms like two-phase or Bouwteam. ...
Andringa et al. (2022) examined this approach using the Complexity Based Risk Assessment Method (CBRAM), which ties project complexity elements to objectives through risk breakdown structures and registers, establishing causal paths among these components. Their study highlighted the need for broader application of CBRAM to validate its effectiveness.
This research explores how project complexity assessments can improve risk assessment in Dutch infrastructure projects using CBRAM. Through a literature review, case studies, and thematic analysis of semi-structured interviews, the study applied CBRAM to four project phases: Renovatie Krammersluizen (tender), Selectieve Onttrekking IJmuiden (construction), IJboulevard (evaluation), and Zeetoegang IJmuiden (maintenance). These applications revealed critical complexity-risk relationships and identified key project milestones and risk factors. The findings demonstrated that even with data not initially structured for CBRAM, the method could uncover significant insights into complexity-risk dynamics, enhancing project teams' communication and decision-making capabilities.
Interviewees provided further insights into the practical application and theoretical underpinnings of CBRAM. They appreciated the formalization of risk relationships, which supports strategic planning and resource allocation. The value of multiple complexity assessments, particularly during dynamic phases like tendering, was emphasized. Additionally, the potential for incorporating different perspectives on project complexity, including those of clients, was recognized.
The study recommends integrating the improved CBRAM+ model into the Dutch infrastructure sector's risk management toolkit, as it offers a valuable perspective on risk assessment. CBRAM+ emphasizes recording risk ownership, allocation, mitigating measures, and residual risks, and enhances communication about complexity-risk influences. It is also suggested that CBRAM+ be tested in projects to evaluate its performance and in contexts where clients and contractors collaborate to explore and share risks, such as in new contracting forms like two-phase or Bouwteam. ...
The Netherlands has encountered significant cost overruns and failures in complex infrastructure projects. To address these challenges, Rijkswaterstaat, the primary authority for soil, road, and waterway management, is shifting from large DBFM (Design, Build, Finance, and Maintain) contracts to simpler, risk-sharing models. This strategic move aims to make projects more predictable and manageable.
Andringa et al. (2022) examined this approach using the Complexity Based Risk Assessment Method (CBRAM), which ties project complexity elements to objectives through risk breakdown structures and registers, establishing causal paths among these components. Their study highlighted the need for broader application of CBRAM to validate its effectiveness.
This research explores how project complexity assessments can improve risk assessment in Dutch infrastructure projects using CBRAM. Through a literature review, case studies, and thematic analysis of semi-structured interviews, the study applied CBRAM to four project phases: Renovatie Krammersluizen (tender), Selectieve Onttrekking IJmuiden (construction), IJboulevard (evaluation), and Zeetoegang IJmuiden (maintenance). These applications revealed critical complexity-risk relationships and identified key project milestones and risk factors. The findings demonstrated that even with data not initially structured for CBRAM, the method could uncover significant insights into complexity-risk dynamics, enhancing project teams' communication and decision-making capabilities.
Interviewees provided further insights into the practical application and theoretical underpinnings of CBRAM. They appreciated the formalization of risk relationships, which supports strategic planning and resource allocation. The value of multiple complexity assessments, particularly during dynamic phases like tendering, was emphasized. Additionally, the potential for incorporating different perspectives on project complexity, including those of clients, was recognized.
The study recommends integrating the improved CBRAM+ model into the Dutch infrastructure sector's risk management toolkit, as it offers a valuable perspective on risk assessment. CBRAM+ emphasizes recording risk ownership, allocation, mitigating measures, and residual risks, and enhances communication about complexity-risk influences. It is also suggested that CBRAM+ be tested in projects to evaluate its performance and in contexts where clients and contractors collaborate to explore and share risks, such as in new contracting forms like two-phase or Bouwteam.
Andringa et al. (2022) examined this approach using the Complexity Based Risk Assessment Method (CBRAM), which ties project complexity elements to objectives through risk breakdown structures and registers, establishing causal paths among these components. Their study highlighted the need for broader application of CBRAM to validate its effectiveness.
This research explores how project complexity assessments can improve risk assessment in Dutch infrastructure projects using CBRAM. Through a literature review, case studies, and thematic analysis of semi-structured interviews, the study applied CBRAM to four project phases: Renovatie Krammersluizen (tender), Selectieve Onttrekking IJmuiden (construction), IJboulevard (evaluation), and Zeetoegang IJmuiden (maintenance). These applications revealed critical complexity-risk relationships and identified key project milestones and risk factors. The findings demonstrated that even with data not initially structured for CBRAM, the method could uncover significant insights into complexity-risk dynamics, enhancing project teams' communication and decision-making capabilities.
Interviewees provided further insights into the practical application and theoretical underpinnings of CBRAM. They appreciated the formalization of risk relationships, which supports strategic planning and resource allocation. The value of multiple complexity assessments, particularly during dynamic phases like tendering, was emphasized. Additionally, the potential for incorporating different perspectives on project complexity, including those of clients, was recognized.
The study recommends integrating the improved CBRAM+ model into the Dutch infrastructure sector's risk management toolkit, as it offers a valuable perspective on risk assessment. CBRAM+ emphasizes recording risk ownership, allocation, mitigating measures, and residual risks, and enhances communication about complexity-risk influences. It is also suggested that CBRAM+ be tested in projects to evaluate its performance and in contexts where clients and contractors collaborate to explore and share risks, such as in new contracting forms like two-phase or Bouwteam.