This study aims to investigate the impact of Industry 4.0 technology adoption on organizational performance in the healthcare sector, with a specific focus on the mediating roles of perceived usefulness, perceived ease of use, emotional trust and actual use. Grounded in the technology acceptance model (TAM), the research further explores how these mediators influence the relationship between technology adoption and performance outcomes. A mixed-method research approach was adopted, integrating structural equation modeling (SEM) and necessary condition analysis (NCA). SEM was employed to assess the direct and indirect (mediated) effects between variables, while NCA identified the necessary conditions required to achieve improved organizational performance. Data were collected from key stakeholders in the healthcare industry through a structured questionnaire. The results highlight the pivotal mediating roles of perceived usefulness and emotional trust in enhancing the relationship between Industry 4.0 adoption and organizational performance. Emotional trust and actual usage emerged as critical factors, indicating that both cognitive and affective dimensions significantly influence successful technology integration. The study also reveals that certain conditions, particularly related to trust and usability, are necessary (though not sufficient on their own) for achieving optimal performance outcomes. The findings provide actionable insights for healthcare managers and policymakers on how to improve technology implementation strategies. Emphasis should be placed on fostering emotional trust and user engagement alongside ensuring technological effectiveness. By addressing these mediators, healthcare institutions can more effectively leverage Industry 4.0 technologies to enhance organizational performance. This study offers a novel contribution by combining TAM with a mixed-method SEM-NCA approach to examine Industry 4.0 adoption in the healthcare supply chain. Unlike prior research, it underscores the necessity of emotional trust and actual use as core drivers of performance, providing both theoretical enrichment and practical guidance for successful technology assimilation in complex organizational settings.

Purpose The study aims to develop an integrated framework to enhance the value engineering (VE) approach in construction by leveraging building information modeling (BIM) and artificial intelligence (AI). The framework focuses on material optimization and sustainable resource management while ensuring quality and cost-effectiveness to attain the circular economy (CE). Design/methodology/approach A systematic literature review, guided by Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) method, is conducted to examine the applications of VE in construction. A mixed-method approach combines quantitative analysis, including keyword co-occurrence and clustering, with qualitative content analysis. The Delft Ladder approach is employed to structure the integration of VE with BIM and AI technologies, forming the foundation of the novel industrial practice-based framework. Findings The study reveals significant potential for enhancing VE through digital transformation. Integrating BIM and AI with VE principles demonstrates improved efficiency in material optimization and reduction of environmental impacts. The proposed Framework promotes closed-loop systems in construction by enabling data-driven decision-making, improving resource efficiency and allowing stakeholders to adopt CE principles throughout the construction lifecycle. Practical implications The framework offers construction professionals pragmatic solutions to mitigate embodied carbon, encourage material reuse and fulfill sustainability objectives. It tackles issues in conventional VE implementation by integrating digital technologies with CE procedures for efficient material management. Originality/value This research introduces an innovative framework that uniquely integrates VE principles with BIM and AI functionalities, employing the reduce, reuse and recycle methodology. The framework can enhance value and minimize expenses through optimization and material efficiency to achieve both functionality and cost-effectiveness.

Purpose This study aims to extend the Unified Theory of Acceptance and Use of Technology (UTAUT) model by integrating connective action theory (CAT) to examine the factors that influence social media adoption in contexts where these platforms facilitate perceived crowd support and collective agency, potentially leading to the bypassing of official channels. Design/methodology/approach A semi-structured questionnaire was distributed to 642 university students in Malaysia. In designing the questionnaire, a systematic literature review, focus group discussions and a pilot test were conducted. The cross-tabulation technique and the partial least squares structural equation model were applied. Findings Despite general awareness, youth exhibit low engagement with e-government systems and prefer reporting issues via social media, revealing a gap in the UTAUT model. For digital natives, traditional UTAUT factors are insignificant; instead, transparency, technological trust and crowd support predict the behavioural intention to use e-government systems. This indicates a mismatch between institutional platforms, which are seen as opaque and cumbersome, and youth expectations for immediacy and visibility. Research limitations/implications The study’s sample is limited to university students, which restricts its generalisability to the broader youth population with diverse backgrounds and digital literacies. Furthermore, reliance on cross-sectional, self-reported survey data provides statistical relationships but lacks depth. Future research should include non-student youth, use longitudinal designs to track evolving attitudes, and adopt a mixed-methods approach to gain richer qualitative context and better understand user perceptions and behaviours. Practical implications Governance must transition to a “glass-box” model, featuring trackable complaint dashboards, automated feedback and amended data protection laws to include government bodies. To rebuild trust, conduct independent security audits and invest in reliable infrastructure. Platforms should integrate moderated social features – like public forums and issue upvoting – to foster communal engagement and meet the demand for visibility. Redefine success metrics from process to outcome-oriented (e.g. resolution time). Proactively engage youth by leveraging platforms like TikTok and Instagram for awareness, and enable official reporting through social media channels to integrate public discourse into structured systems. Originality/value This study uses CAT to reframe the non-adoption of e-government as a potential rational shift towards viral connective action on social media. This integrated framework provides a novel explanatory lens for understanding why institutional platforms struggle to compete with the logic of socially-mediated engagement. It further contributes practical design insights for developing more transparent, trusted and socially responsive e-government systems.

Malaria poses considerable risk to pregnant women and their unborn babies. Despite the known effectiveness of intermittent preventive treatment in pregnancy using sulfadoxine pyrimethamine(IPTp-SP) and long-lasting insecticide nets (LLINs), their use is hindered by several challenges. This study, therefore, assessed factors associated with utilisation of malaria preventive services (MPS) among pregnant women attending primary healthcare centres in Ile-Ife, Nigeria, using a mixed-method approach. This was a mixed-method cross-sectional study design conducted among 200 pregnant women in ten selected healthcare facilities across two Local Government Areas (LGAs) of Ile Ife, Nigeria. While the quantitative data was collected from pregnant women using a semi-structured adapted questionnaire, qualitative data was collected from health workers and pregnant women using key informant interviews (KIIs) and focused group discussions (FGDs), respectively. Quantitative data was analysed using SPSS version 25.0, with logistic regression used to determine the factors influencing utilisation of LLINs and IPTp-SP. Thematic analysis of qualitative data was conducted using ATLAS.ti. Less than half (34%) of the respondents had good knowledge of malaria preventive services (MPS). While 62.5% of the respondents owned LLINs, only 47.5% reported current utilisation. Utilisation of at least one dose of IPTp-SP was at 50.8% and 7% for three or more doses. The multivariable analysis showed a statistically significant association between IPTp-SP uptake and occupation, good knowledge of malaria preventive services and gravidity. Factors that influenced utilisation of MPS include out-of-stock commodities, lack of money, late and irregular ANC attendance due to insufficient funds for transportation, the distance to healthcare facilities, and pregnant women's preference for visiting mission houses (faith-based homes where spiritual and maternity services are provided) over attending antenatal care (ANC), and insufficient training of healthcare providers. Modalities to maintain constant availability of malaria preventive commodities at ANC clinics should be put in place. In addition to the conventional awareness programmes, optimal utilisation of MPS can be achieved through the integration of unconventional healthcare providers such as faith-based and traditional birth attendants into malaria in pregnancy preventive initiatives. Also, educational interventions and continuous health workers training are crucial.

Despite numerous efforts to implement inclusive policies in Kerala, transgender and gender-diverse (TGD) individuals continue to face institutional discrimination, resulting in significant challenges in accessing health care. Existing literature highlights the need for actions to expand the availability and utilisation of health care services for these individuals to prevent institutional erasure. This study aimed to identify the barriers health care faced by transgender people in Kerala. A mixed-methods approach was employed, combining a cross-sectional survey among 120 TGD individuals for quantitative data and in-depth interviews among 13 TGD individuals for qualitative insights. This study examined barriers to healthcare access among transgender people in Kerala, using Levesque et al.'s framework. Participants (mean age 33 years) included transwomen, transmen, and gender-fluid individuals. Key barriers included the limited functionality of the specialised TGD clinics, a perceived lack of awareness and responsiveness among health care workers, and experiences of discrimination. Financial constraints further restricted access to hormone therapy and gender-affirming surgeries. Structural barriers, such as the absence of gender-neutral facilities and inadequate admission protocols compounded these challenges. Participants emphasised the need for health care worker training and the expansion of public provision for gender-affirming care to address these barriers. The identified barriers are deeply rooted in the social position of the TGD community, necessitating an approach that acknowledges the social determinants of their health to achieve meaningful improvements in health care access.

This study investigates the complex interrelationships between financial behaviour, risk attitudes, and the demand for life and health insurance within Vietnam's emerging market context. Employing a sophisticated mixed-methods analytical approach combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA), this research examines data collected from 487 Vietnamese individuals across diverse socioeconomic strata. The theoretical framework integrates Prospect Theory and the Theory of Planned Behaviour to elucidate the psychological and behavioural mechanisms underlying insurance demand. The empirical findings reveal that financial literacy, financial planning behaviour, and risk aversion collectively exert statistically significant positive influences on insurance uptake, whilst risk perception demonstrates a moderating effect on these relationships. The fsQCA results uncover asymmetric configurational pathways, demonstrating that multiple combinations of financial behaviour and risk attitude dimensions lead to high insurance demand. This research contributes to the insurance economics literature by providing robust empirical evidence from an emerging Asian market, whilst offering practical implications for policymakers and insurance providers seeking to enhance financial protection coverage in developing economies.

This study investigates the relationship between Grade R teachers’ science content knowledge and their classroom practices within early childhood education contexts. This research explores how science content knowledge (CK) informs teaching practices among Grade R educators. Framed within the Scholarship of Teaching and Learning (SoTL) perspective, it responds to the gap in the literature on the influence of teachers’ science content knowledge in early childhood science education. Shulman’s Teacher Knowledge Framework and Ball et al.’s Content Knowledge for Teaching (CTK) form the theoretical framework of this study. The study adopted a mixed-methods sequential explanatory approach. The quantitative phase involved administering a structured CK survey to 100 Grade R teachers, followed by a qualitative phase with four purposively chosen participants. Qualitative data were collected through lesson plan reviews, classroom observations, and semi-structured interviews. In relation to science content knowledge, the findings revealed that teachers possessed expected levels of common content knowledge and sufficient horizon content knowledge, but showed limited specialised content knowledge. Although their CK levels were moderate, the study found little to no significant impact of science CK on classroom practices. This suggests that mediating factors, such as the quality of teacher training, curriculum demands, and contextual constraints, shape pedagogical decisions more strongly than content knowledge alone. The study recommends professional development programmes that strengthen specialised content knowledge while addressing contextual challenges. By linking CK, classroom practice, and SoTL inquiry, the study advances the discourse on early childhood teacher education and highlights the need for context-sensitive, evidence-based professional development.

Tanzania launched the nationwide Star Rating Assessment in 2015 and has implemented it as a cornerstone of its national quality improvement program. We use variation in assessment results to explore mechanisms through which facilities improve quality. A mixed-methods positive deviance approach was applied by ranking all primary care facilities included in the Star Rating Assessment (n = 5,595) by their change in score between 2015/16 and 2017/18. The least- and most-improved facilities (n = 27) were selected for qualitative interviews with the highest-ranking provider at the facility on the day of data collection. The dataset was thematically analyzed first as a full-set and then divided by most and least improved to develop a local theory of improvement. Interviews were conducted with 27 facility leaders in 27 primary care facilities. Analysis showed that the SRA helped providers and staff find meaning in their clinical work which served as a core mechanism for improvement. This meaning-making was supported by stronger relationships and connections between health system actors. Connection to leaders came through the creation of a shared national mission to improve quality and an accountability system that allowed respondents to advocate for change. Connections to colleagues came through greater collaboration within facilities and competition between facilities. Connection to patients came through improved knowledge about clinical and interpersonal quality and self-checking against this new knowledge. Inputs to care were important, but not sufficient to drive improvement. Distilling SRA into a replicable improvement model carries with it the risk of losing contextual and programmatic factors which appear to be key to the success of the program in Tanzania. Implementation and ownership by the government of Tanzania was one of these critical elements.

Cultural groups play a key role in shaping and maintaining cultivated diversity, yet their influence is rarely considered in conservation or agricultural development initiatives. However, cultural groups sharing the same territory may hold distinct preferences, knowledge, and practices, which must be acknowledged. Despite recent advances, the processes linking ethnolinguistic identities and cultivated diversity and diversification process remain poorly understood. We applied a mixed-methods approach combining a quantitative description of cultivated species frequency and number with a qualitative analysis of 27 semi-structured interviews on farmers motivations to cultivate the different species as well as diversified species assemblage. We compared two ethnolinguistic groups coexisting in the same semi-arid region of Madagascar but with distinct settlement histories, one considered migrant (Antandroy) and the other long-term settled (Masikoro). We found notable differences in socio-economic conditions and crop portfolio between groups. For some crops, motivations were similar, while others revealed contrasts in cultural and symbolic importance, culinary preferences, and economic traits (e.g., seed access, treatment requirements). Although both groups cultivate a comparable number of species on average, their incentives to diversify differ: Antandroy farmers emphasized spreading food availability through time and the risk-reducing effect of diversity, whereas these motivations were not consistently reported by Masikoro farmers. These patterns reflect intertwined cultural and socio-economic specificities. Our findings underline the importance of accounting for cultural group differences in crop choices and crop diversity management, even when these groups coexist in the same landscape. Integrating these perspectives is essential for designing more effective conservation and agricultural development initiatives, particularly those supporting crop diversification in risk-prone regions.

Health services research faces the challenge of providing sound recommendations for action for the further development of health systems and care. The application of causal inference methods offers health services researchers an excellent opportunity to identify causal relationships under everyday conditions. The role of clinical trials with a classic randomised controlled trial (RCT) design is recognised as suitable for gaining insights that help establish causal inference, but other methodological approaches to generating evidence also play an important role in health services research.The discussion paper presents key concepts and assumptions of causal inference and highlights their relevance for health services research. The paper makes it clear that in order to fulfil the assumptions, it is necessary to integrate theory, contextual knowledge, understanding of mechanisms and formal concepts, such as directed acyclic graphs (DAGs), into a suitable empirical study design. To this end, RCTs, quasi-experimental methods, causal machine learning, target trial emulation, in silico trials and the mixed-methods approach of integrated inference are presented and discussed in terms of their applicability in health services research and their internal and external validity.All of the approaches presented here can contribute to the estimation of causal effects when used in a targeted manner and in accordance with the central assumptions. Their suitability depends largely on the research question, data quality, theoretical modelling and contextual knowledge. The combination of complementary designs and high quality data sources can increase the robustness of causal conclusions.Causal inference in health services research is not only a methodological procedure, but an integrative process that systematically combines theory, methodology and contextual knowledge. By consistently linking these aspects, health services research can generate differentiated and actionable insights that go beyond correlative analyses and enable an understanding of the mechanisms of causal processes. This can lead, for example, to evidence-supported recommendations that critically examine the often non-evidence-based status quo and reliably evaluate the benefits of new models.

This study examined the dynamics of conflict between artisanal small-scale miners and local communities in Matobo District, Matabeleland South Province, Zimbabwe. It used a convergent mixed-methods approach. Data were collected through interviews, questionnaires, and observations. The findings revealed significant conflict between largely unregulated artisanal miners and residents in Matobo. Communities believe the miners are damaging the environment and creating security issues, and they are accused of theft, robbery, sexual assault, and other crimes. The miners contend they earn a decent living and support local livelihoods. This is supported by income data showing that small-scale miners earn substantially from mining activities. Another major source of conflict is the encroachment of miners into the Matobo Hills, a UNESCO World Heritage site of cultural and spiritual importance to the communities. The conflict is intensified by weak policy enforcement and corruption within law enforcement, particularly involving artisanal miners. The study concludes that the ongoing conflict reflects a struggle for survival among groups with competing interests. There is a need to improve policies on shared land use and promote peaceful coexistence among communities.

Abstract Coastal towns are becoming increasingly vulnerable to climate-induced hazards such as storm surges and coastal floods. These hazards lead to the destruction of critical infrastructure, social stability, and livelihoods. In response, researchers, practitioners, and policy makers have emphasised the need for sustainable financing to address the impact of climate-induced hazards in at-risk communities. Yet little scholarly attention has been given to the mechanisms deployed at both household and institutional levels to cope with and recover from the impact of climate-induced hazards. This study examines the impact of storm surges in coastal communities in Ghana and explores various mechanisms deployed to finance household coping mechanisms. The paper employs a mixed-methods approach, combining qualitative data with quantitative data from household surveys, to assess the socioeconomic impact of storm surges. Results reveal that 78% of respondents experienced significant income losses, with 57% reporting school dropout among dependents and 26% expressing concerns about food insecurity. Property damage, especially to housing and fishing gear, has severely affected livelihoods. Despite available climate finance mechanisms, only 16% identified government support during crises, while 54% sought assistance from informal networks like friends and family. Systemic challenges, including inefficient bureaucratic processes and inadequate institutional capacity, hinder effective climate financial assistance and other support mechanisms. The study suggests prioritising sustainable recovery initiatives, strengthening local institutional capacity, and integrating climate funding into community-based strategies to enhance resilience, ultimately contributing to a better understanding of climate resilience and offering actionable recommendations for foreign donors, NGOs, and policymakers to support Ghana's coastal communities.

Although studies on character education and the formation of students’ social attitudes have been widely discussed in previous research, studies that specifically examine the effect of Sejarah Kebudayaan Islam learning on students’ tolerance attitudes within the madrasah environment remain relatively limited. This study aims to analyze the effect of Sejarah Kebudayaan Islam learning on the tolerance attitudes of tenth-grade students at MAN 3 Solok. This study employed a mixed-methods approach with a quantitative survey design enriched by qualitative data, involving 31 students as respondents selected through the total sampling technique. Data were collected using questionnaires, interviews, and documentation, and were then analyzed using simple linear regression for the quantitative data and descriptive analysis for the qualitative data. The results showed that Sejarah Kebudayaan Islam learning had a significant effect on students’ tolerance attitudes, with a significance value of 0.049 (p < 0.05). Descriptively, most students were in the high tolerance category at 54.84%, while 32.26% were in the moderate category and 12.90% were in the very high category. These findings affirm that Sejarah Kebudayaan Islam learning plays a role in shaping students’ tolerance attitudes within the madrasah environment and strengthens the understanding of the function of history learning as a means of internalizing the values of tolerance. The implications of this study indicate the importance of optimizing Sejarah Kebudayaan Islam learning as part of strengthening character education in madrasahs.

Knowledge, economic, and WASH challenges affecting menstrual health and hygiene among nursing students in Bangladesh using a mixed-methods approach.

Purpose The rapid evolution of immersive technologies (IMTs) underscores the need for food enterprises to adopt a flexible mindset, foster engagement, and embrace technological change to embark on a successful journey. This research employs an organizational change approach to empirically investigate the role of individual unlearning (IUNL) in enabling food sector organizations to navigate this transformation effectively. For this purpose, we utilized the AIDUA framework by interpreting the fundamental factors of employees' perceived autonomy, competence, and relatedness as catalysts for IUNL during the initial appraisal phase. In the ensuing secondary appraisal phase, the perceived performance expectation and effort expectancy of the IUNL approach were investigated, with the ultimate objective of influencing willingness to adopt or reject these IMTs in the final stage. Design/methodology/approach A mixed-methods approach, utilizing Partial Least Squares Structural Equation Modeling and Artificial Neural Networks, was employed to analyze data from 223 participants in China. Findings The results showed that fulfilling autonomy, competence, and relatedness has a positive impact on IUNL, which subsequently leads to a notable improvement in performance expectancy and effort expectancy. Furthermore, performance expectancy and effort expectancy have a positive and significant influence on the willingness to adopt IMTs in organizations, while demonstrating no considerable impact on the rejection of IMTs. Originality/value These findings highlight the crucial role of unlearning in facilitating IMT adoption and have far-reaching implications for shaping organizational strategy, fostering innovation, and facilitating a smooth transition to an increasingly dynamic technology environment.

Purpose This study aims to enhance the interpretability and actionability of learning analytics (LA) dashboards for teachers by integrating generative artificial intelligence (GenAI) to produce tailored narratives. Design/methodology/approach The research employs a mixed-methods approach, involving the design and implementation of GenAI-driven narrative features within existing dashboards. Prompt engineering techniques were used to generate narratives based on real course data. The approach was evaluated using questionnaires, interviews and structural content analysis of generated narratives. Findings The integration of GenAI-generated narratives improved teachers’ understanding and interpretation of dashboard data, supported decision-making and increased willing of adoption of the enhanced dashboards. Teachers highlighted the value of contextualized explanations and reported clarity and ease in interpreting student LA. However, the study also identified challenges related to data quality, transparency of GenAI outputs and the need for human oversight. Originality/value This work offers an innovative application of GenAI in educational technology by moving beyond data visualization to provide context-rich, automatically generated narratives. It advances the field by proposing and empirically evaluating specific prompt engineering strategies, including the segmentation of prompts into explanation, interpretation and recommendation segments, as well as mitigation of Large Language Model hallucinations through data injection. It addresses a critical gap in making LA dashboards more accessible and actionable for educators and contributes empirical insights into both the practical benefits and limitations of GenAI integration providing actionable guidelines for narrative generation in real educational settings.

Multitasking and interruptions in control rooms of complex systems such as nuclear power plants (NPPs) are often identified as contributing to human errors. This paper aims to provide a nuanced understanding of how and why multitasking/interruptions occur in such environments and how NPP operators respond to them. Through a mixed-method approach combining field observation, simulator observation, and in-depth interviews, we found that the average frequency of multitasking/interruption was 3.19 times/h and 17.5 times/h in routine and emergent scenarios. Sixteen reasons for engaging in multitasking/interruptions were identified and classified according to whether they are internally-driven or externally-driven, and whether they occur purposefully in service of specific system goals or not. To handle them, NPP operators developed a range of organisational, procedural, training, and technological measures that operate across different stages of multitasking/interruptions. These findings suggest that multitasking/interruptions in complex systems should be systemically managed rather than simply eliminated.

Genomic medicine enables early detection of treatable conditions and supports personalized care across all populations; however, evidence guiding its implementation in resource-constrained healthcare settings remains limited. Using a mixed-methods approach, this study evaluated the readiness of an Alabama Federally Qualified Health Center (FQHC) to implement genomic medicine as part of routine clinical care. Staff members (e.g., physicians, nurses, medical assistants, and administrators) completed surveys, individual interviews, a concept-mapping session, and a nominal group technique exercise. Study participants included 13 clinic members. Interviews and mapping revealed three dominant barriers: staffing shortages, financial constraints, and language obstacles. Facilitators included strong commitment to quality care, alignment with the clinic mission, and supportive leadership. Survey results (N = 12) revealed mean scores in the positive range for culture, learning climate, and leadership engagement, whereas scores for stress, available resources, and readiness for change were nearer to the neutral midpoint, suggesting potential practical constraints on genomic implementation. The use of the CFIR-ERIC Implementation Strategy Matching Tool allowed the team and participants to evaluate nine candidate strategies, prioritizing those with high feasibility and impact. The evaluation was visually developed into an impact matrix which placed patient and family involvement, tailored educational materials, educational meetings, and designated genomic-medicine leadership in the high-feasibility / high-impact quadrant. These strategies directly address identified barriers and fit existing clinic strengths, which is important for equitable precision-medicine adoption. Findings indicate that FQHCs can advance genomic services through culturally attuned patient engagement, structured provider training, and clear leadership roles.

Body perceptions and satisfaction among adults with excess weight in India: a mixed methods approach.

Private housing project failures in Malaysia have emerged as a significant concern with profound implications for industrial project management efficiency and economic stability. This study develops a comprehensive strategic framework aimed at enhancing industrial project management practices and strengthening policy resilience, drawing critical lessons from the systemic failures observed in Malaysia’s private housing sector. Using a mixed-methods approach that integrates quantitative insights from 195 industry stakeholders and qualitative findings from 13 expert interviews, the framework synthesizes principles from project management theory, stakeholder theory, and institutional governance. It addresses five interrelated dimensions: strategic planning, resource optimization, proactive risk governance, multi-stakeholder engagement, and regulatory modernization. The findings reveal that failures in private housing projects are underpinned by fragmented planning, financial vulnerabilities, weak regulatory enforcement, and inadequate stakeholder coordination, equally relevant to broader industrial and infrastructure contexts. By proposing integrative strategies such as the adoption of digital project monitoring systems, standardized compliance protocols, and collaborative stakeholder platforms, this study contributes to enhancing operational efficiencies and fostering a more resilient policy environment. Ultimately, the framework offers actionable pathways not only to mitigate project abandonment risks but also to advance sustainable industrial practices, safeguard economic interests, and support Malaysia’s transition towards a more robust and circular construction economy.