Saudi Cultural Missions Theses & Dissertations
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Item Embargo A Framework for Integrating Building Information Modelling with Operations and Maintenance for Buildings(The University of Manchester, 2024) Abideen, Dania; Yunusa-Kaltungo, Akilu; Cheung, Clara; Manu, PatrickThe revolutionising of Building information modelling (BIM) has altered and transformed the concept of building management. However, its application in the operation and maintenance (O&M) phase remains limited. This indicates a missing opportunity to achieve a good return of investment (ROI) in the O&M stage, especially as it almost account for 60% of life cycle costs. To achieve effectiveness in integrating BIM with O&M, facility managers and building owners require the right level of detail for the information requirements that would facilitate this integration. However, the literature indicates that a primary factor contributing to the gradual incorporation of BIM with the O&M stage is informed by the lack of precise information requirements (IRs) to guide this integration. Additionally, to successfully leverage BIM with O&M and address these IRs to support this integration, a rigour methodology for assessing the operational readiness and maturity for BIM with O&M is needed. This thesis investigates the key IRs that facilitate BIM and O&M integration, along with their respective priorities. Additionally, this research conceptualises capability maturity model integration (CMMI), for the development of the integrated BIM and O&M Maturity Assessment Tool. The methodology comprised a systematic review of literature, followed by expert verification. Then, a two-round Delphi process was conducted to determine the significance of the identified categories and their respective IRs. After that, the Voting Analytical Hierarchy Process (VAHP) was applied to ascertain their global weights. The findings of the study revealed twenty-one distinct IRs which are classified into five main categories, namely, general, strategic, operational, commercial, and continuous improvement IRs. Results show that the topmost important categories, in accordance with the global weights, are the general and the operational IRs, respectively. These IRs have been incorporated into the BIM and O&M maturity assessment tool. The proposed tool enables business owners and industry experts to assess their BIM and O&M maturity based on a five stages rating scheme across five main categories along with their respective twenty-one IRs. To ensure effectiveness and practicality of the tool, twenty-two experts participated in a validation exercise through an evaluation questionnaire. Results indicate that the assessment model serves as a valuable tool for industry practitioners in the construction sector, enabling them to assess their current operational readiness, highlight the areas of strength and deficiency and subsequently prioritise investments to optimise maintenance systems. The proposed model acts as a reference point for continuous improvement and enable policy makers and decision makers to optimise their maintenance regime.8 0Item Restricted Decoding the Impact of Leadership Multiplicity on Innovation Adoption: The Role of Dual Leadership in Data-Supported Decision-Making Adoption in the UK Local Government(University of Reading, 2024-06-28) Jad, Sumayya; Nakata, KeiichiData adoption in decision-making has been identified as a primary solution for the increasing challenges confronted by local government authorities in the United Kingdom, thus contributing to the improvement of public service provision. Consequently, numerous research is conducted to investigate data adoption in the UK local government. However, little is known about the impact of the dual leadership hierarchies on the adoption of data-supported decision-making (DSDM) within the specified context. Therefore, this thesis aims to investigate the role of dual leadership in the adoption DSDM in the UK local government. To achieve this, the thesis conducts an inductive qualitative comparative approach, where data is collected from 13 local authorities in the form of documentation and semi-structured interviews. As thematic analysis and constant comparative analysis methods are applied to analyse the data, it is found that there are three coexisting decision-making logics in the UK local government. Moreover, based on the Institutional Logics Perspective, it is found that the higher the instantiation of the profession institutional order in the decision-making logics, the higher the adoption of data-supported decision-making in local authorities. Furthermore, based on the Diffusion of Innovation in Organizations, it is found that the dual leadership schemes manifesting as a result of interactions occurring among the decision-making logics significantly impact the level of data-supported decision-making adoption within local authorities. In addition, five leadership-related factors are found to influence a local authority’s level of DSDM adoption: level of delegation, dual leadership relationship direction, political arrangement and stability of a local authority, and the political experience of local authorities’ leading councillors. These results contribute empirically to the research context by exploring the different dual leadership schemes and explaining each’s influence on the adoption of the phenomenon. Moreover, this thesis contributes theoretically to literature by extending the Diffusion of Innovation in Organizations theory to include organizations with multiple leadership hierarchies by adding the multiple leadership schemes as a construct under the leadership dimension. Practical implication of the research is presented by proposing an enhancement to a data maturity model for local government.21 0