Purpose: This paper highlights the current level of professional ethics standards in the construction industry in a developing economy and how ethics influences the quality of construction projects. Design/methodology/approach: A questionnaire survey and interviews were conducted on a selected sample from the construction industry in Malaysia, which has a fast-developing economy. Findings: The findings amongst others indicate that various forms of unethical conducts that could have a significant impact on the quality of construction were found in the construction industry. The findings also suggest that professional ethics is a pre-requisite to attaining a sustained and acceptable standard of quality in construction. Originality/value: apart from linking professional ethics to the quality of construction, this paper suggests ways to enhance professionalism among construction professionals to improve quality in construction including: imposing heavier penalties on those who are found to act unethically, attending ethics-training programmes and having regular ethics-awareness workshops. The construction industry needs to achieve internationally accepted quality levels to ensure that it is well positioned to support the nation's overall economic growth and to meet various challenges at the national and international levels.

The rise in the amount of construction and demolition waste and its negative impacts on the environment had made it become a hot issue globally. Therefore, efficient construction and demolition waste management are extremely important in the construction industry. The circular economy is introduced to shift the current linear economy practice of “take-make-consume-dispose” to “take-makeconsume-reuse and recycle” toward a more sustainable and efficient construction and demolition waste management by decrease the illegal dumping and construction and demolition waste issues. However, the concept of circular economy has still not been widely developed in current practices of waste management where many of the players in the construction industry still in the process of understanding how to adopt circular economy practices. Thus, this research aims to develop the strategy for the adoption of Circular Economy (CE) for Construction and Demolition Waste Management (CDWM). The quantitative method is applied in this research to collect data and the data is collected through a questionnaire survey. A strategy is proposed on the adoption of the circular economy principle in the construction and demolition waste sector as a reference to improve the performance of the current construction and demolition waste management system.

Design Management is a systematic method of managing design process through integration of multiple stakeholders in a construction project. Its role and activity are about bringing ideas together, connecting, integrating, communicating, innovating and collaborating design activities, people, processes and resources that are related to the project. Project success can be measured either by objectives or subjective measures where both have their own contribution towards project management success and product outcome success. For this study, project success takes into consideration both measures. This is due to design-caused defect was found as the highest contribution in project defect when measured by cost. The aim of this research is to determine the relationship between design management and project success. For this research, the components of this theoretical framework were developed based on the theories and empirical evidence relating to design management and project success measure. The outcome shows that 41processes had been classified into 7 project stages: project initiation, preparation of design outline, conceptual design, detail design development, procurement, construction and project operation and 6 components of success measure had been identified: Objective measure consists of time and cost and subjective measures look into quality, health and safety, functionality and end-user’s, client’s, design teams and construction team satisfaction.

The Green Building Index (GBI) is Malaysia’s industry-recognized green rating tool for building to promote sustainability in built environments among the developers, architects, engineers, contractors, and public on the environmental issue. The GBI-rated green building in Cyberjaya as a subject of this study is the factor that leads Cyberjaya towards the green township label in Malaysia. In achieving a green township, there are several classifications of the building that contributes to green and environmentally sustainable conditions. The aim of this research is to determine the influence of implementation of Green Building Index (GBI) rated buildings in Cyberjaya towards achieving green township. The objective of this research is to identify the user’s satisfaction level of green buildings in Cyberjaya, examine significant elements that benefit green building applications in Cyberjaya and to evaluate the implementation of GBI-rating certified buildings in Cyberjaya towards meeting a green township. Data findings for this study has been collected through method of questionnaire among 122 respondents from three (3) classification of green buildings in Cyberjaya which are commercial building: MCMC Tower 1, institutional building: Cyberjaya Hospital and assembly building: Raja Haji Fi Sabilillah Mosque. Therefore, through this study, the researchers would like to know how the implementation of Green Building Index (GBI) can lead to green township in Cyberjaya.

Artificial intelligence (AI) is increasingly being adopted for decision support in sustainable building risk management, yet the trustworthiness of AI-supported sustainability risk decisions depends as much on data quality as on analytical capability. Poor data conditions can amplify sustainability risks by producing unreliable decision support, yet existing studies provide limited insights into which data quality dimensions should be prioritized to enable trustworthy AI outcomes. This study identifies and prioritizes the critical data quality dimensions for trustworthy AI-supported decisions in sustainable building risk management. A questionnaire survey was conducted of accredited sustainable building professionals and their expert judgements were analyzed through an Analytic Hierarchy Process (AHP). The findings reveal that system-dependent dimensions, particularly traceability and interoperability, are prioritized over intrinsic dimensions like accuracy and consistency. The findings suggest that trustworthy AI-supported sustainability decisions depend strongly on a verifiable data provenance, cross-system integration and interpretable outputs rather than data correctness alone. This study reframes data quality from a general prerequisite to a prioritized, context-sensitive construct underpinning trustworthy AI applications, extending data-driven decision theory in the sustainable building domain. Ultimately, a phased data governance approach is recommended to prioritize traceability and interoperability as the foundational conditions for construction organizations implementing trustworthy AI in sustainable building risk management.