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Circular economy (CE) is increasingly used as a system solution framework for tackling climate change. Existing CE solutions have been found effective in other sectors but ineffective in the construction sector (CS) due to the inability to account for unique CS dynamics that are essential for its success. With CS being one of the worst polluters, this research aimed to investigate critical success factors (CSFs) and a practical CE implementation framework for the sector.

Mixed methods research involving descriptive surveys of construction professionals in Kazakhstan, Malaysia and Turkey was used to explore priority dimensions of McKinsey’s ReSOLVE (“regenerate, share, optimize, loop, virtualize and exchange”) circulatory framework, and the associated CSFs that underpin successful implementation of CE in the sector. Empirical data were analyzed using the fuzzy analytical hierarchy process (F-AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm.

Results showed that “Optimize” and “Loop” were the most critical of the six dimensions of CE implementation framework for successful circularity transition of the CS in each case study country. Twenty-seven CSFs identified in the study were clustered into seven key action areas for successful rollout of the ReSOLVE framework, namely, legislative and documentation, financial, design, external/stakeholder, technological, internal and construction/production/waste management.

The study makes a unique contribution to existing knowledge by exploring ReSOLVE-based CSFs for successful CE implementation in the CS through the lenses of experienced construction practitioners and experts in developing countries. The findings are expected to provide a deeper insight into the most significant CSFs to be focused on with the limited resources available to decision-makers in the CS. The findings would also inform regulatory policy reformations aimed at facilitating greater rate of implementation of CE in the construction value chain.

The study – the first of its kind – established and validated a wholistic and construction-specific CE implementation framework to guide built environment professionals and policymakers in formulating a roadmap for successful CS’s transition to circularity and hopefully paving the way for improved economic, social and environmental performance of the sector.

The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.

Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.

As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.

When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.

Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.

This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.