Ng, C W (2024) Enhancing the performance of the adoption of building information modelling (BIM) and common data environment (CDE) using risk management and performance contract techniques. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.
Abstract
The construction industry is undergoing a digital transformation in the coming decades in which Building Information Modelling (BIM) is one of the primary technologies driving this transformation. A number of governments, including those in Britain, Finland, and Singapore, etc. mandate the use of BIM for public infrastructure projects [1,73], and in Hong Kong, the government mandates the use of BIM for capital works projects since 2018 [22]. There are also KPIsset at 100% adoption for both BIM and Common Data Environment (CDE) for all projects in both public and private sectors by 2026 [44], which leads to transforming more traditional practice projects to be projects using BIM and CDE in the future. Since projects will be more reliance on BIM and CDE in future, however, previous studies indicate that practitioners are reluctant to adopt BIM and CDE due to hurdles and barriers, and there lacks identifications of risks when using BIM and CDE, and lack of mitigation strategies that generalize poor performance and low quality of adoption. In addition, it is difficult to quantitatively measure the performance of BIM and CDE adoption in projects, as well as inadequate financial incentives hinder the adoption, growth and development of BIM and CDE adoption. Therefore, this research aims to apply systematic risk management techniques and performance contract techniques, to develop risk management strategies and frameworks of performance-based payment mechanism including sets of KPIs for incentivizing the adoption and improving the performance of BIM and CDE adoption in construction projects. Surveys have been conducting for collecting views from experienced industry practitioners in supporting the developments in this research.This thesis consists of three parts. The first part is the background study and literature review on risk identification of BIM and CDE adoption and existing approaches. The second part (Chapter 2 and Chapter 3) focuses on BIM risks management and performance contract for BIM adoption, including four works: (1) identification of BIM risks and mitigation strategies, (2) identification and prioritization of BIM KPIs, (3) framework development of performance-based payment mechanism for BIM adoption, and (4) correlations between BIM KPIs and BIM risks. The third part (Chapter 4 and Chapter 5) focuses on CDE risks management and performance contract for CDE adoption, including five works: (1) identification of CDE risks and mitigation strategies, (2) identification and prioritization of CDE KPIs, (3) framework development of performance-based payment mechanism for CDE adoption, (4) correlations between CDE KPIs and CDE risks, and (5) correlations between CDE KPIs and BIM KPIs. More specific elaboration of each research work is as follows.Work 2.1: BIM risk identification & mitigation management strategies. Existing studies of BIM risk management in using BIM are not comprehensive and limited, which lead to limitation and bad performance of BIM adoption. Therefore, robust risk mitigation strategies are proposed to effectively mitigate BIM risks, which are categorized into 1) contractual, 2) management, 3) personnel, and 4) technical aspects.Work 2.2: Performance-based Payment Mechanism for BIM Adoption. Existing methods for quantitatively measuring the performance of BIM adoption are limited and lack of payment mechanisms for BIM adoption, which lead to difficulties in measuring the performance of BIM adoption and hinder the development of BIM adoption in the industry.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Cheng, J |
| Uncontrolled Keywords: | Finland; Hong Kong; Singapore; building information modelling; common data environment; government; payment; personnel; public infrastructure; risk identification; risk management |
| Index terms: | construction industry, payment mechanism, risk management, framework development, private sector, Finland, transformation, management strategy, Singapore, Hong Kong, building information modelling, public infrastructure, risk mitigation, performance-based, construction project, practitioner, mitigation, common data environment, strategy, literature review, risk identification, survey, financial incentive, mandate, personnel |
| Subjects: | practitioner, economic analysis, contractual arrangements, financial risk, Geography, production management, computing systems, business, risk assessment, data collection methods, data analysis and analytics, performance measurement, management, political science, information systems, industry analysis, infrastructure and transport systems |
| Topics: | Quality Management, Engineering Principles, Project Management, Geographical Context, Risk Management, Procurement, Digital Applications, Human Resources, Cost Management, Business Strategy, Research Practice, Roles and Professions, Governance |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here