Browsing by Author "Rotimi, James"

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A framework for enhanced decision making in construction organisations based on quality of pipeline information : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy, School of Built Environment, Massey University, New Zealand
(Massey University, 2025-08-25) Moshood, Taofeeq Durojaye
The New Zealand government actively pursues the development of a sustainable construction sector that ensures high performance, productivity, innovation, and community well-being through diverse project initiatives spanning residential, non-residential, and infrastructure development. Despite these aspirations, construction projects in New Zealand are frequently delayed and not effectively completed, thus leading to underperformance. Two critical factors contributing to project delays and suboptimal outcomes are inadequate quality of information and ineffective strategic decision-making processes. Formulating effective strategic decisions is a fundamental challenge for construction organisations, significantly impacting their overall strategic goals and operational success. While information management and decision execution are widely recognised as crucial elements in organisational strategy, there remains a notable gap in understanding the intricate relationship between the quality of information and strategic decision-making, particularly within the context of construction business performance. This research addresses this critical knowledge gap by identifying the determinants for successful construction business performance. It investigates the mediating role of quality of information in the relationship between strategic decision-making and the performance of construction businesses in New Zealand. The study employs a comprehensive methodological approach combining systematic literature review, quantitative analysis, and stakeholder validation to develop a robust understanding of these complex relationships. The systematic literature review focused specifically on identifying critical determinants for successful construction business performance in New Zealand, utilising the ATLAS.ti 9 tool for analysis. This comprehensive review highlighted the fundamental role of the quality of information in strategic decision-making processes and its subsequent impact on organisational performance. This systematic analysis led to the development of a conceptual framework and associated hypotheses establishing the relationships between these factors and their impact on strategic decision-making, information quality, and construction business performance. A quantitative survey was conducted with 102 respondents, and the sample size was determined using G*Power analysis to ensure statistical validity. The study examined how strategic decision-making and information quality influence construction business performance in New Zealand. The research method that was employed integrated established theoretical models and employed Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS4 software. This analytical approach allowed for robust testing of both direct relationships between variables and the mediating effect of information quality on the relationship between strategic management practices and business performance outcomes. The findings revealed a strong positive correlation between strategic decision-making management and construction business performance, with quality of information serving as a crucial mediating factor. A key research component involved validating the proposed strategic decision-making process framework for its sufficiency, clarity, coherence, relevance, and applicability in New Zealand construction organisations. This validation process included in-depth interviews with six industry experts representing various organisational approaches to strategic decision-making. Their responses revealed a spectrum of techniques ranging from highly structured to more informal methodologies, providing valuable insights into the practical application of strategic decision-making frameworks in different organisational contexts. The research outcomes significantly contribute to theoretical understanding and practical application in the construction industry. Establishing clear criteria for successful quality of information and identifying critical factors affecting project implementation success, this study offers valuable guidance for improving practices within the construction sector. The findings emphasise the crucial importance of prioritising both the quality of information and strategic decision-making to effectively lessen project delays and optimise overall performance in the construction sector. Furthermore, the research contributes to developing more effective strategic decision-making processes by highlighting the interconnected nature of the quality of information and strategic planning. The validated framework provides construction organisations with a practical tool for enhancing their strategic decision-making capabilities while considering the critical role of quality of information in achieving successful outcomes. This study's findings have significant implications for construction industry stakeholders, such as project managers, organisational leaders, and policymakers. The research demonstrates that improving the quality of information and strategic decision-making processes can enhance project outcomes and overall organisational performance. The validated framework offers a structured approach for organisations to assess and improve their current practices while considering their unique operational contexts and requirements.
Development of a decision support tool for automation adoption and optimisation in precast concrete plants : a New Zealand case study : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Construction Project Management at Massey University, Albany, New Zealand
(Massey University, 2022) Ansari, Reza
In response to the growing demand in the New Zealand construction market, this study aims to develop a decision-support framework for adopting and optimising automation in precast concrete plants, which are increasingly recognised for their numerous benefits. The primary resources required by these plants include labour, equipment, and materials, and their efficient use is essential for maintaining competitiveness. Automation has been identified as a potential solution for improving productivity and profitability in precast concrete manufacturing; however, an appropriate decision-support tool is currently lacking. The current study commences with a comprehensive literature review, followed by historical data collection, face-to-face interviews, and site observations of precast concrete plants to address this research gap. These methods help identify attributes that affect profitability, leading to developing and validating of a theoretical framework named the Precast Plant Automation System Tool (PPAST) through a case study. The PPAST framework comprises two sequential phases: the strategic phase, which uses the direct rating method for preliminary feasibility evaluation of automation adoption, and the tactical phase, where the AHP method assesses the appropriate automation sequence for the plant. The study’s main findings indicate that the developed decision support system enables decision-makers to articulate their objectives and attitudes towards risk as they explore the feasibility of automation and formulate an optimal automation strategy. Specifically, the system aids in evaluating the impact of automation on cost and quality and identifying necessary process changes before implementing new technologies. The primary contribution of this research is its novel approach to systematically evaluating alternative automation scenarios in precast concrete production plants. The results demonstrate that the proposed model is a valuable and effective decision-making tool for adopting and optimising automation in precast concrete plants. This research fills a critical knowledge gap concerning the crucial measurements of precast concrete plant profitability and the absence of an automation adoption tool. The developed framework can be extended to investigate automation adoption and optimisation in other precast concrete plants across New Zealand. This study's practical implications include empowering precast plants to meet their organisation's profitability measures, thus satisfying stakeholder value propositions. A thriving precast concrete industry will lead to more satisfied clients, attract additional investment, and improve the overall construction industry's quality, productivity, and profitability at the national level. Theoretically, this research contributes a reliable benchmark for future studies by developing decision support tools that facilitate selecting optimised automation methods for precast concrete plants and contributing to theoretical knowledge by establishing an optimised automation decision support method that guides researchers in exploring other avenues for maximising profitability.
Risk identification and allocation in public-private partnerships : a New Zealand perspective : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Construction Management, Massey University, Auckland, New Zealand
(Massey University, 2024-06-13) Rasheed, Nasir
Public-Private Partnerships (PPPs) have become a prevalent solution for funding infrastructure projects amid declining public reserves. Despite their widespread adoption, not all PPP projects prove successful, often due to inadequate risk management. Recognizing the expertise of the private sector, including the New Zealand government, PPPs are increasingly utilized. However, there is a scarcity of specific research on PPPs in the local context, particularly in social infrastructure using the Design-Build-Finance-Maintain-Operate (DBFMO) delivery method. This thesis aims to address this gap by establishing a framework for improving risk management outcomes in New Zealand's PPP infrastructure projects, focusing on critical success factors, empirical investigations into risk identification, and the development and validation of a Fuzzy based risk allocation model to inform stakeholders' decisions. This research employed two distinct questionnaire surveys targeting industry experts from both public and private sectors, all possessing relevant experience in the local industry and PPP procurement. Given the absence of a precise population, a combination of convenience and judgment sampling, was utilized. A total of 43 and 58 PPP experts provided valid responses to two questionnaires. The sample size was considered appropriate, especially considering the relatively recent adoption of PPP in New Zealand. Additionally, comparisons were made with similar studies that employed questionnaire surveys to ensure validity. The collected data underwent various statistical analyses, including mean score analysis, Cronbach's alpha reliability analysis, independent sample t-test, and factor analysis. Subsequently, the fuzzy synthetic evaluation (FSE) method was applied to model risk allocation. In addition, the study included a set of semi-structured interviews to provide a practical and policy-making context for the research. Critical success factor rankings established through mean scores revealed approval and negotiation process, innovation and project complexity, client’s brief, project’s technical feasibility and strong private consortium to be five top ranked factors out of the 27 identified. Similarly, the top three risk allocation criteria (RAC) having very high importance (mean score greater than 4 on a scale of 5) were risk foresight, response to risk and minimise risk loss. Furthermore, factor analysis showed that the 9 identified RAC can be classified into three component groups namely risk management expertise, core risk management capability and risk management strategy. Recognizing the importance of principle of risk allocation, the proposed fuzzy based risk allocation model took into account the risk management capability of public and private sector. FSE was chosen for its adeptness in handling intricate multi-faceted challenges, particularly in the context of risk distribution decisions that involve the inherent vagueness within human cognitive processes. Due to their contentious nature in literature and different PPP projects, 16 risk were carefully chosen to be allocated via the model from a list of 35 risks initially identified. The findings indicate that for 12 of the risks, the distribution proportions between the government and the private sector are comparable. Risks associated with land acquisition and public opposition are predominantly assigned to the public sector, while risks linked to unforeseen geotechnical conditions and financing are predominantly allotted to the private sector. The results were validated using six interviews with highly experienced professionals within the New Zealand PPP scene. The outcomes of this study are anticipated to guide policymakers in formulating effective strategies for assigning risks and devising well-balanced risk sharing arrangements within PPP contracts, to achieve outcomes mutually agreeable to both the public and private sectors, ultimately enhancing the uptake of PPP projects.
Value optimisation of public infrastructure assets : a grounded theory study : from theory to practice in the application of asset management standards for New Zealand public infrastructure : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy, School of Built Environment, Massey University
(Massey University, 2024) Tan, Raymond
Many organisations accountable for public Infrastructure assets face significant challenges due to aging infrastructure, natural disasters caused by climate change, unexpected pandemic occurrences and population growth. Previous studies have shown current asset management capabilities are inadequate for these challenges. Asset management is not a new discipline and has a long history as a research topic mainly from a technical perspective promoted by financial, technical and engineering professional organisations. In contrast, the asset management philosophy within a socio-technical systems view of an organisation has rarely been studied. This thesis was undertaken to close the gap between theory and practice as it provided evidence-based insights of how complex asset management challenges are addressed to optimise value of public infrastructure assets. The study adopted the Straussian Grounded Theory method that involved comprehensive literature reviews and semi-structured interviews of twenty-four senior leaders from twenty organisations responsible for complex asset management systems of large asset portfolios. The method chosen enabled discovery of the unwritten rules that govern asset management behaviour as it provides a broader understanding of social context that explains the interactions that influence actions of individuals and organisations that led to rich, empirical descriptions for development of a new conceptual framework of value optimisation. The findings from the research revealed shortcomings of current asset management standards for the complex asset management challenges in New Zealand that are heavily impacted by social, environmental and political systems external to the organisations studied. In addition to the difficulty of defining what is organisation value, the multi-dimensional factors and interfaces between the asset management system, the wider organisation and the eco-system, asset management are further complicated by different layers of power and influence under a broader theme of political-social dimension. Asset management technologies and tools on their own cannot be used as proxies for effective decision-making. In fact, they may be sources of silos when not implemented properly. The proposed Balanced Optimised Value framework that evolved from the research findings extends beyond the current asset management standards presumption that value is realised from the triangulated balance of cost, risk and performance of assets. The framework provides a new practicable approach of defining and optimising value by not only focusing on technical outputs internally (e.g. cost-funding matching) sometimes misconstrued as customer outcomes but instead, focus on outward looking outcomes for society. By adopting whole-of-systems thinking approach, the framework minimises the unfavourable trade-offs between economic, social/cultural and environmental outcomes by decision makers. This research offers a more holistic asset management approach for optimising value of public infrastructure by establishing the appropriate authorising-enabling environment that enhances the capacity and capability through effective use of the enablers of new technologies, organisation culture and climate.