Search Results (54)

Construction firms in emerging markets operate in highly volatile environments that threaten business continuity and sector-wide resilience. This study provides a novel, integrated framework that links multiple strategic survival models to construction business resilience and development in Ghana’s construction industry, with particular emphasis on the evolving role of digitalisation. Four survival models are conceptualised as strategic portfolios: Innovation and Digital Transformation, Diversification and Growth, Lean and Resilience, and Strategic Risk and Partnerships. A quantitative research design was employed, using structured questionnaires administered to 128 construction industry stakeholders. Data were analysed using Partial Least Squares Structural Equation Modelling to assess direct, indirect, and mediating effects among survival models, construction business resilience, and construction business development. All four survival models have significant positive effects on construction business resilience, with Diversification and Growth (β = 0.404) and Innovation and Digital Transformation (β = 0.377) exerting the strongest influence, followed by Strategic Risk and Partnerships (β = 0.265) and Lean and Resilience (β = 0.207). The structural model explains 55.7% of the variance in construction business resilience, while construction business resilience is positively and strongly related to construction business development (β = 0.439), accounting for 19.3% of its variance. The findings show, for the first time in this context, that construction business resilience systematically mediates the relationship between distinct strategic survival portfolios and business growth in an emerging-market construction sector. This study advances the resilience and construction management literature by empirically demonstrating the hierarchical effectiveness of different survival models and by positioning construction business resilience as both a defensive capability and a strategic engine of sustainable development for construction firms in volatile markets. This paper recommends that firms develop composite resilience portfolios that integrate these strategies, while policymakers foster enabling regulations, digitalisation incentives, and joint risk-sharing arrangements that amplify sector-wide resilience. It offers a portfolio-based perspective on how to combine diversification, digital transformation, lean management, and strategic partnerships to build resilient, growth-oriented construction businesses. Convenience sampling and a cross-sectional design in a single national context highlight the need for longitudinal and cross-country research to validate and extend the proposed framework. Full article

Cryptocurrency trading platforms operate in highly volatile, technology-intensive, and risk-sensitive environments, yet empirical evaluations of their performance from an information systems perspective remain limited. Prior studies applying the DeLone and McLean Information Systems Success Model (ISSM) have largely focused on traditional e-commerce and e-learning contexts, leaving its applicability to cryptocurrency exchanges underexplored. This study addresses this gap by examining how system quality, information quality, and service quality influence system use, user satisfaction, and net benefits in cryptocurrency trading platforms. This study employs a quantitative research design using survey data collected from 389 active Binance users in Indonesia through purposive sampling. The proposed ISSM-based research model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi Group Analysis (MGA) to assess the relationships among system quality, information quality, service quality, system use, user satisfaction, and perceived net benefits. The findings indicate that four of the nine hypothesized relationships are statistically supported. System quality emerges as the most influential determinant of both system use and user satisfaction, highlighting the importance of platform reliability, performance, and usability. Information quality also demonstrates a significant effect, whereas service quality exhibits a limited direct influence on user outcomes. Overall, system use and performance-related factors play a more critical role in driving perceived net benefits than service-related attributes. This study extends the DeLone and McLean ISSM to the context of cryptocurrency trading platforms and demonstrates its relevance in high-risk, blockchain-based financial environments. The results offer theoretical insights by refining the relative importance of ISSM constructs in fintech settings and provide practical guidance for developers and platform architects to prioritize system robustness, efficiency, and usability to enhance user satisfaction and engagement. Full article

This study addresses a critical gap in understanding how Lean Manufacturing (LM) practices, particularly people-centered approaches, can enhance operational performance within the unique industrial context of Saudi Arabia’s Vision 2030 economic transformation. The concept of Lean Manufacturing involves a systematic approach and principles aimed at enhancing efficiency, minimizing inefficiencies, and boosting output in manufacturing operations. While LM principles are well-established globally, their application in Gulf Cooperation Council (GCC) economies remains understudied, particularly regarding the central role of workforce engagement in successful implementation. The main objective of the study is to investigate the implications of LM on the productivity of the industry sector. Specifically, this research examines how the integration of people-centered practices with traditional LM constructs (Just-in-Time, Jidoka, Stability and Standardization) influences operational outcomes in Saudi manufacturing firms. A survey was conducted among specific private and public enterprises to collect data, yielding a 55.8% response rate and 67 valuable responses from a pool of 120 contacted companies. The sample encompassed small, medium, and large enterprises across seven manufacturing sectors. SmartPLS 3 and SPSS were used to assess the structural and measurement models. Common method bias was evaluated using Harman’s single-factor test. The findings demonstrate that implementing the recommended LM structural model significantly enhances operational performance. Notably, people integration exhibited the strongest influence on operational performance (β = 0.361), suggesting that human-centered approaches may be particularly salient in the Saudi context. These findings offer practical guidance for manufacturing firms seeking to align lean initiatives with Vision 2030 objectives. Full article

Background: Physical literacy is a multidimensional construct that may be relevant for promoting active lifestyles and healthy development during adolescence. However, the association between perceived physical literacy (PPL) and body composition assessed by dual-energy X-ray absorptiometry (DXA) remains underexplored. Objective: To examine the association between PPL and DXA-derived body composition parameters in Spanish adolescents. Methods: This cross-sectional study included 56 adolescents (13.2 ± 1.27 years, 28.6% girls). PPL was assessed using the validated Spanish version of the Perceived Physical Literacy Instrument (S-PPLI). Body composition was measured by DXA. Associations between PPL and body composition outcomes were examined using general linear models, adjusting for sex, age, and device-measured moderate-to-vigorous physical activity (MVPA) and sedentary time. Results: Higher PPL was significantly associated with greater lean body mass (β = 0.81; p = 0.02), lean mass index (β = 0.22; p = 0.01), and fat-free mass (β = 0.85; p = 0.01), as well as with higher body mass index (BMI) (β = 0.24; p = 0.03). Conclusions: Higher PPL is associated with more favorable lean-related body composition outcomes in Spanish adolescents, whereas no associations were found with adiposity or bone parameters. These findings highlight PPL as a relevant correlation of lean body composition during adolescence. Given the cross-sectional design, causal inferences cannot be drawn, and future longitudinal and interventional studies are warranted. Full article

Effective training is essential for addressing the continuous requirement for enhancing productivity and safety in construction. Virtual reality (VR) has emerged as a powerful tool for simulating site environments with high fidelity. While previous studies have explored the potential of VR in construction training, there is potential to incorporate advanced construction theories, such as lean principles, which are critical for optimizing work processes and safety. Thus, this study aims to develop an integrated VR-lean training system that integrates lean principles into traditional VR training, focusing on improving productivity and ergonomic safety—two interrelated challenges in construction. This study developed a virtual training environment for scaffolding installation, employing value stream mapping—a key lean tool—to guide trainees in eliminating waste and streamlining workflows. A before-and-after experimental design was implemented, involving 64 participants randomly assigned to non-lean VR or integrated VR-lean training groups. Training performance was assessed using productivity and ergonomic safety indicators, while a post-training questionnaire evaluated training outcomes. The results demonstrated significant productivity improvements in integrated VR-lean training compared to non-lean VR training, including a 12.3% reduction in processing time, a 21.6% reduction in waste time, a 20.8% increase in productivity index, and an 18.4% decrease in number of errors. These gains were driven by identifying and eliminating waste categories, including rework, unnecessary traveling, communication delays, and idling. Additionally, reducing rework contributed to a 7.2% improvement in the safety risk index by minimizing hazardous postures. A post-training questionnaire revealed that training satisfaction was strongly influenced by platform reliability and stability, and user-friendly, easy-to-navigate interfaces, while training effects of the integrated training were enhanced by before-session on waste knowledge and after-training feedback on optimized workflows. This study provides valuable insights into the synergy of lean principles and VR-based training, demonstrating the significant impact of lean within VR scenarios on productivity and ergonomic safety. The study also provides practical recommendations for designing immersive training systems that optimize construction performance and safety outcomes. Full article

Background/Objectives: Body surface area (BSA) is an important metric that represents human dimensionality and could provide a more accurate representation of body composition. The objectives were (a) to verify the validity of a set of equations based on BSA to estimate lean body mass (LBM), using dual X-ray absorptiometry (DXA) as a reference method and (b) to propose reference values of BSA by anthropometry and LBM by DXA in a regional sample of Chile aged 4 to 85 years. Methods: A descriptive cross-sectional study was performed. The sample size was 5493 participants. Weight and height were measured. BSA was calculated using seven equations. LBM was assessed by DXA. Results: Only three BSA equations (Dubois–Dubois, 1916, Fujimoto, Watanabe, 1969, and Mattar, 1981) best explained LBM. The explanatory power for males was R² = 83 to 84%, and that for females was R² = 69%. The standard error of estimation (SEE) of the three equations showed acceptable values in both sexes. These values ranged from 0.049 to 0.080 in males and from 0.035 to 0.088 in females. The Bland–Altman concordance analysis showed adequate limits of agreement. In men, they ranged from −0.092 to 0.069 m². In females, they ranged from −0.064 to 0.084 m². Reference values for BSA and LBM were constructed using percentiles. Conclusions: This study demonstrated the validity of three equations for estimating LBM in a Chilean sample aged between 4 and 85 years. These results show consistent behavior and acceptable accuracy, especially in the Mattar equation for all ages. However, the Dubois & Dubois and Fujimoto equations could also be an alternative in females. Reference values were generated for BSA and LBM according to age and sex. The results suggest their applicability and usefulness in clinical and public health contexts. Full article

The emergence of generative AI, particularly the widespread accessibility of ChatGPT, has led to challenges for higher education. The extent and manner of use are under debate. Local empirical investigations about the use and acceptance of ChatGPT contribute to effective policymaking. The study employs a specialized approach, utilizing an information system view based on the DeLone and McLean Information Systems Success Model as its theoretical framework. A survey was conducted to assess students’ opinions about ChatGPT regarding its usefulness in their studies. The model was tested using PLS-SEM with 466 Hungarian and Romanian higher education students. The model examined six constructs as information quality, system quality, service quality, use, user satisfaction, and net benefits. The results confirmed the effects of information quality and system quality on use and satisfaction, whereas service quality did not make a significant contribution. Satisfaction was found to be the key driver to use. The study contributes to a deeper understanding of AI acceptance in higher education and provides valuable considerations for policymaking. A data-oriented, task-focused policymaking is recommended over system-based regulation. Additionally, a comprehensive framework model is required for international comparisons, which combines information systems success and technology acceptance models. Full article

Lean construction is considered a new methodology for minimizing the causes of waste that hinder the achievement of green building (GB) goals. The main aim of this study is to develop a lean model using fuzzy logic technique to mitigate causes of waste effect in GB projects and to determine the most appropriate lean tools affecting these causes. The inputs of this model include GB waste and four lean tools, comprising Quality Function Deployment (QFD), Last Planner System (LPS), Value Stream Mapping (VSM), and 5S, while the outputs include four improvement level indices based on the lean tools. The model uses various logical rules to achieve several relations among the inputs and outputs, and it is applied and verified using data related to several causes of waste categorized under five groups. The strongest correlation is found between VSM and 5S indices, while an adverse relationship is observed between QFD and 5S indices. The results indicate that a cause of waste that refers to poor assessment of site conditions is considered the most substantial one due to its high improvement level indices across all lean tools. The most significant waste group is related to GB stakeholders, which contains 38% of key causes of waste. The improvement using QFD increases by 10% compared to VSM and 28.20% compared to 5S. QFD and LPS are measured as the most suitable lean tools to mitigate the causes of waste effects due to their high impact and high improvement level indices. Full article

Background/Objectives: This secondary analysis aimed to compare the effects of time-restricted eating (TRE) versus calorie restriction (CR) and controls on mood and quality of life in adults with type 2 diabetes (T2D). Methods: Adults with T2D (n = 69) were randomly assigned to one of three interventions for 6 months: 8 h TRE (eating only between 12 and 8 pm daily); CR (25% energy restriction daily); or a no-intervention control group. At baseline and 6 months, mood was assessed using the Beck Depression Inventory-II (BDI-II) and the Profile of Mood States (POMS) questionnaires, while quality of life was assessed using the Rand 36-Item Short Form (SF-36). Results: Body weight significantly decreased in the TRE group (−3.38%; 95% CI, −6.04 to −0.71%, p = 0.008), but not in the CR group (−1.80%, 95% CI, −4.50 to 0.91%, p = 0.32) versus controls by month 6. Fat mass, lean mass, and visceral fat mass remained unchanged in TRE and CR groups, versus controls, from baseline to month 6. No changes were observed in depression scores (BDI-II), total mood disturbance, or any POMS subscales (tension, depression, anger, fatigue, confusion, or vigor) in either the TRE or CR groups compared to controls. Similarly, there were no significant changes in the quality-of-life SF-36 constructs of vitality, bodily pain, mental health, and general physical health in the TRE or CR group versus controls. By month 6, there were no associations between changes in body weight, quality of life, and mood outcomes in any group. Conclusions: In conclusion, our findings suggest that TRE and CR do not have any effect on mood or quality of life in adults with T2D, relative to controls. However, the participants’ baseline mood and quality of life were generally within healthy ranges, and only minimal weight loss was achieved (3.5%, TRE only), which may explain the lack of observed effects. Full article

This study presents the partial real-world validation of a previously developed framework that integrates Lean Construction principles, Building Information Modeling (BIM), and Emerging Technologies to optimize construction management. While the original framework was validated through expert consensus using the Delphi Method, this research applies it in the context of Saudi Arabia to test its feasibility during the design phase. A case-based approach was adopted involving a confidential mega-scale project. Key Performance Indicators (KPIs) were used to assess impact, including cost and time efficiency, productivity, waste reduction, quality, safety, stakeholder satisfaction, and process automation. Our results revealed a 25% improvement in cost efficiency, a 40% acceleration in design delivery, a 25% increase in productivity, 70% process optimization and automation, 100% elimination of non-value-adding activities, and a 20% enhancement in design quality. Stakeholders reported high levels of satisfaction, citing transparency, real-time collaboration, and enhanced decision-making as major benefits. These findings confirm the framework’s potential for transforming project delivery through integrated digital and Lean strategies. Full article

This study assesses the performance impact of lean construction practices in Engineering, Procurement, and Construction (EPC) projects in China. While lean methods have demonstrated substantial benefits in conventional construction, their implementation in the EPC context—characterized by higher complexity and integration—remains underexplored, particularly within the Chinese infrastructure sector. This research develops a structured framework that classifies lean practices into five functional categories: planning and scheduling (PS), process and workflow optimization (PWO), quality and safety enhancement (QSE), resource and maintenance (RM), and visualization and communication (VC). This study evaluates the influence of these practices on four key performance indicators: efficiency and resource management, quality and safety, stakeholder satisfaction, and organizational and market impact. Data were collected from 456 EPC stakeholders via a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that PS, PWO, and QSE exert the strongest positive effects on performance, while RM and VC contribute in more context-specific ways. The results highlight the value of lean practices for improving operational performance, stakeholder engagement, and sustainability in complex project delivery systems and underscore the need for policy support and digital integration to enhance lean adoption in Chinese EPC sector. Full article

The transition toward sustainability in the construction industry requires integrated tools that align with circular economy principles. This study introduces the Interactive Stakeholder Journey Map in Construction (ISJMC), an innovative visual and systemic tool that supports waste management and circularity throughout the life cycle of construction assets. Although the sector is economically significant, it remains one of the main contributors to environmental degradation due to high resource consumption and low waste recovery rates. Developed according to EN 15643-3:2012, a European standard that provides a framework for assessing the social sustainability of construction works, focusing on aspects such as accessibility, health, and comfort and grounded in the Design Thinking methodology, ISJMC enables mapping stakeholder interactions, touchpoints, and responsibilities across all life cycle stages, including initiative, design, procurement, construction, use, and end of life. A systematic literature review and collaborative workshops guided the tool’s development and validation. The application in a real case involving a medium-sized Brazilian construction company helped identify significant pain points and opportunities for implementing circular practices. The results demonstrate that ISJMC (i) facilitates a systemic and visual understanding of material and information flows, (ii) promotes transparent mapping of resource value to support better decision-making, and (iii) encourages the identification of circularity opportunities while fostering collaboration among stakeholders. The tool revealed critical challenges related to waste generation and management. It supported co-creating sustainable strategies, including improved material selection, lean construction practices, and stronger supplier engagement. By translating complex standards into accessible visual formats, ISJMC contributes to the academic field, supports practical applications, and offers a foundation for expanding circular approaches in construction projects. Full article

Background: Body image (BI) concerns in men—spanning thinness, muscularity, and other related constructs—are increasingly being recognized for their links to depression, anxiety, and self-esteem, yet measurement approaches remain unevenly aligned. Objectives: Our objective was to map the landscape of BI instruments deployed with cisgender men and women and to examine whether thinness-, muscularity-, and non-specific self-image satisfaction measures differentially relate to key mental health outcomes. Eligibility Criteria: Our eligibility criteria were peer-reviewed, quantitative studies published in English between January 2011 and December 2021. We only included studies with samples ≥30 cisgender men, psychometrically validated BI scales, results reported separately by gender, and U.S.-based investigations. Sources of Evidence: The source of evidence was a systematic search of PsycINFO. Charting Methods: Two reviewers double-screened titles/abstracts and full texts in EPPI-Reviewer. Data on measure orientation; validation sample characteristics; and effect sizes relating BI scores to depression, anxiety, and self-esteem were extracted. The effect sizes were transformed to r and averaged across the studies. Results: Of the 1178 records identified, 191 U.S. studies met the inclusion criteria. Fifty-five distinct BI instruments were used; twelve appeared in six or more studies and were classified as thinness-oriented, muscularity-oriented, or non-specific. The unweighted average correlations with depression ranged from r = 0.23 (muscularity) to 0.34 (non-specific), with anxiety at r = 0.16–0.25 and self-esteem at r = 0.20–0.57. The male samples showed greater heterogeneity of effect sizes, likely reflecting the sampling variability and the multifaceted nature of men’s BI concerns. Conclusions: This review confirms critical gaps in male BI measurement and interpretation. Although thinness- and muscularity-oriented scales each capture facets of men’s BI, exclusive reliance on thinness measures risks overlooking leanness- and musculature-focused pathology. The greater variability of BI–mental health associations in men than women underscore the need for a diverse measurement toolkit that, at minimum, assesses thinness, muscularity, and other appearance-related constructs. Full article

The construction industry continues to face significant challenges related to waste on construction sites, significantly impacting cost, timelines, and the quality of project outcomes. This study aims to identify contemporary sources of construction waste, assess their variability over time using data from 2016, 2021, and 2024, and evaluate strategies for their reduction. A mixed-methods approach was adopted, combining a literature review with a survey among Polish construction contractors. A total of 34 waste factors were assessed in terms of frequency and significance. Building Information Modelling (BIM) is recommended—based on both survey results and studies in the literature—as an effective strategy to optimise construction efficiency by reducing waste and supporting sustainability objectives. The analysis also shows increasing awareness and application of Lean Principles and BIM among contractors. By 2024, BIM use increased from 8% in 2016 to 63%, indicating broader recognition, although this recognition was still insufficient given the severity of reported waste. The findings revealed design errors as the most critical source of waste, alongside execution delays, quality defects, damages to completed works, and excessive workloads. Respondents also identified additional factors, including erroneous bid assumptions, unclear investor expectations, unrealistic deadlines, equipment failures, and overdesign. These underscore the need for strategic, technology-driven waste mitigation. Full article

The adoption of remanufacturing technology is gaining traction, considering sustainability principles and the goal of fostering a resource-efficient society. However, given the unique environment of construction sites and the context of incorporating lean production into remanufacturing, implementing remanufacturing concepts in the construction industry presents significant obstacles. The goal of this article is to provide guidance and recommendations for construction professionals when developing remanufacturing plans, including circumstances, insights, and methodology for implementation. Initially, this study distinguishes the widely used ‘3R’ terminology (reduce, reuse, and recycle) from the concept of remanufacturing applicable to the construction industry. It then investigates the characteristics of the ‘core’ (items to be remanufactured) of construction components, as well as evaluates and restructures key influencing aspects associated with remanufacturing techniques. A careful assessment of the literature and detailed descriptions help to clarify these factors. The findings show that these criteria have a double impact on remanufacturing and that successful remanufacturing techniques necessitate a mix of flexibility, safety, and stability. Finally, a ‘tumbler’ approach was offered for experts in construction component professionals, allowing key influencing factors to play a more inclusive and dependable role in the development of remanufacturing strategies. Full article