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Green building development practices reduce carbon footprint and promote sustainability in the built environment. To foster green building construction in Malaysia, several strategies and sustainability metrics like the Malaysian Carbon Reduction and Environmental Sustainability Tool (MyCREST) have been established. Yet, the implementation of green office building development in Sarawak still remains low. Therefore, the purpose of this paper is to develop MyCREST Embedded Framework (MEF) for enhancing the adoption of green office building construction in Sarawak.

To achieve the research aim, document analysis of the overarching MyCREST Reference Guide was conducted. Then, questionnaire was used to survey 120 green construction professionals in Kuching, the capital of Sarawak. Afterwards, data from the questionnaire was analyzed using Statistical Package for Social Science software version 22. As a result, the significant strategies for enhancing the adoption of green office building construction in Sarawak were identified, and ranked hierarchically using the Relative Importance Index.

The established significant strategies include: government policies and incentives, sustainable technological practices, defined process for executing green building projects and adequate information for the public. Moreover, this study recommends MyCREST as the suitable Green Building Assessment Tool for developing green office buildings in Sarawak due to its integration of carbon reduction strategies with sustainability indicators.

This study is limited to Kuching; hence future study should be extended to other cities in Sarawak.

Based on the findings, the MEF is developed to enlighten the industry practitioners on the approaches that will elevate green office building development in Sarawak.

The Internet of Things-based digital twin (IoT-DT) technologies offer a transformative approach to building retrofitting for reducing operational carbon (ROC) emissions. However, a notable gap exists between the potential and adoption of the two emerging technologies, further exacerbated by the nascent state of research in this domain. This research aims to establish the best practices that innovatively strengthen the identified enablers to decisively tackle challenges, ensuring the efficient implementation of IoT-DT for ROC emissions in buildings.

This study adopted a mixed-method approach. Questionnaire data from 220 multidiscipline professionals were analysed via structural equation modelling analysis, while interview data obtained from 18 stakeholders were analysed using thematic content analysis. The findings were triangulated for cohesive interpretation.

After the analysis of questionnaire data, a structural model was established, depicting the critical challenges (inadequate data security, limited technical expertise and scalability issues) and key enablers (robust data security measures, skill development and government incentives) of implementing IoT-DT for ROC. Sequentially, analysis of in-depth interview data revealed the IoT-based DT best practices (safeguarding data, upskilling and incentivization). Upon triangulating the questionnaire and interview findings, this study explicitly highlights the potential of the established best practices to strategically strengthen enablers, thereby mitigating challenges and ensuring the successful implementation of IoT-based DT for ROC emissions in buildings.

This study provides practical guidance for stakeholders to effectively implement IoT-DT in ROC in buildings and contributes significantly to climate change mitigation.

Examines the thirteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.