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This study, respectively, explored the mediating and moderating influences of psychological availability and ethical leadership on the relationship between occupational stress and project performance among construction workers in Ghana.

Employing partial least squares structural equation modelling (PLS-SEM) with SmartPLS 4, this quantitative cross-sectional study analysed survey data from 677 construction project workers who were recruited through simple random sampling technique.

The results demonstrate that occupational stress negatively predicts both project performance and psychological availability of construction project workers. Psychological availability and ethical leadership mediate and moderate the stress-project performance relationship, respectively.

The findings suggest that ethical leadership and attention to psychological well-being are key to managing occupational stress and enhancing project performance in high-stress environments like construction.

This study contributes to the understanding of occupational stress in project management by integrating psychological and leadership factors through conservation of resource theory, social exchange theory and the job demands-resources model.

In developing countries, rapid industrial growth frequently results in companies with high pollution levels, which in turn exhibit characteristics such as elevated emissions, increased energy consumption and overcapacity. In order to promote sustainable development among these heavily polluting firms, it is essential to implement a system of incentives and penalties that encourages environmentally responsible behaviour. China's environmental protection tax has replaced the previous pollution discharge fee (PDF) system. This tax aims to guide enterprises towards continuous adjustments and improvements in their production methods, increased investments in green technology, adoption of environmentally friendly production methods, reduced pollutant emissions and promotion of high-quality development. This chapter analyses how China's Environmental Protection Tax Law, enforced in 2018, affects the sustainable development capabilities of A-share listed companies in China. We utilise a difference-in-differences (DiD) model and measure total factor productivity (TFP) to quantify the impact of the tax law on these enterprises. TFP is a key indicator used to measure the effectiveness of resources utilised by enterprises in the production process. Our empirical analysis provides compelling evidence that the implementation of environmental protection taxes has significantly enhanced the TFP of heavily polluting enterprises. Importantly, the impact of these taxes is more pronounced for state-owned enterprises (SOEs) in comparison to their private counterparts in this sector. These findings offer valuable insights for policymakers in developing countries as they consider the design of environmental protection tax systems and supportive measures to promote sustainable development of companies with significant environmental impacts.

Today, the transition of retailers from multi-channel and cross-channel to omni-channel has become a necessity. Customers’ perceived shopping value is also one of the most important factors for retailers’ success. Therefore, the purpose of this paper is to develop and validate the omni-channel shopping value scale.

Based on 40 interviews (X = 18, Y = 22) and a literature review, items were generated for shopping value dimensions (utilitarian, hedonic and social) at four touchpoints. Then exploratory factor analysis was performed for scale purification (n = 562). Confirmatory factor analysis (CFA) was performed (n = 528) for initial scale validation. A second CFA was conducted to validate the final scale (n = 302). To check the nomological validity of the scale, the effect of omni-channel shopping value on customer engagement (n = 455) was investigated in both generations.

According to the results of the qualitative study, 73 items were identified. Based on the results of exploratory and CFA, nine components (50 items) were extracted and confirmed: utilitarian, hedonic and social shopping values for offline touchpoint and utilitarian and hedonic shopping values for online, application and social networks touchpoints. The results of nomological validity of the scale confirmed the effect of omni-channel shopping value on customer engagement in both generations.

To the best of the authors’ knowledge, this study is the first attempt to develop and validate an omni-channel shopping value scale based on customers’ shopping experiences with omni-channel brands. Therefore, this study provides a useful tool for researchers and marketing managers to measure omni-channel shopping value.

This paper introduces a novel method to improve building safety management by leveraging building information modeling (BIM) and adaptive information retrieval techniques. The integration aims to overcome the limitations of traditional safety management methods in connecting construction processes with risk management efficiently.

The proposed method involves developing industry foundation classes (IFC) ontologies and integrating them with a safety document ontology to form a comprehensive BIM-based safety context framework. Custom reasoning rules and an inference engine are constructed to enable automatic context-aware safety information retrieval. The methodology is demonstrated through an adaptive information retrieval system using job hazard analysis (JHA) documents.

The implementation of the BIM-based adaptive information retrieval system shows significant improvements in identifying and managing construction risks. By mapping job-specific risks to corresponding safety measures, the system enhances risk detection and management tailored to particular construction tasks. The results indicate a marked improvement in the precision and accuracy of safety assessments and recommendations, aligning them closely with planned construction activities and conditions.

This paper offers an innovative approach to construction safety management through the development of a BIM-facilitated context-aware information retrieval system. This approach provides a more intelligent and automated framework for identifying and managing risks in construction projects. By focusing on specific job steps and related risks, the system enhances the effectiveness and accuracy of safety measures, contributing to better overall building safety management.

In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and theory of planned behaviour (TPB), the authors offer that the green purchase intention (GPI) is impressed by environmental and personality components. Provide statements about the determinants and key implications of such market identification.

In smart cities striving for innovation, development, and prosperity, hydrogen offers a promising path for decarbonization. However, its effective integration into the evolving energy landscape requires understanding regional intricacies and identifying areas for improvement. This chapter examines hydrogen transport from production to utilization, evaluating technologies’ pros, cons, and process equations and using Analytic Hierarchy Process (AHP) as a Multi-Criteria Decision-Making (MCDM) tool to assess these technologies based on multiple criteria. It also explores barriers and opportunities in hydrogen transport within the 21st-century energy transition, providing insights for overcoming challenges. Evaluation criteria for hydrogen transport technologies were ranked by relative importance, with energy efficiency topping the list, followed by energy density, infrastructure requirements, cost, range, and flexibility. Safety, technological maturity, scalability, and compatibility with existing infrastructure received lower weights. Hydrogen transport technologies were categorized into three performance levels: low, medium, and high. Hydrogen tube trailers ranked lowest, while chemical hydrides, hydrail, liquid organic hydrogen carriers, hydrogen pipelines, and hydrogen blending exhibited moderate performance. Compressed hydrogen gas, liquid hydrogen, ammonia carriers, and hydrogen fueling stations demonstrated the highest performance. The proposed framework is crucial for next-gen smart cities, cutting emissions, boosting growth, and speeding up development with a strong hydrogen infrastructure. This makes the region a sustainable tech leader, improving air quality and well-being. Aligned with Gulf Region goals, it is key for smart cities. Policymakers, industries, and researchers can use these insights to overcome barriers and seize hydrogen transport tech opportunities.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture, requiring diversified economies for enhanced livelihoods and poverty reduction. However, this growth necessitates increased energy consumption, potentially escalating carbon emissions. Green innovation (GI) emerges as a beacon of hope, offering products and services designed for a minimal carbon footprint. Beyond socio-economic advancement, GI aligns with sustainable development goals. This study aims to  examine the influence of knowledge management (KM) and digitalization (DG) on GI, particularly in sustainable competitive advantage.

Using structural equation modeling and drawing upon a survey administered to 301 Vietnamese enterprises.

The findings illuminate diverse underpinnings between green product and process innovation, unravel the intricate relationship between KM, DG and GI, and provide crucial insights for firms seeking sustainable competitive edges.

This multidimensional approach significantly enriches the understanding of these pivotal elements in contemporary business landscapes.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. However, the construction community has paid little attention to PC innovation, especially networked innovation. This study aims to gain deep insights into what impacts the formation and dynamics of a prefabricated construction innovation network (PCIN). With the uptake of PC facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. It first conceptualizes the PCIN based on the quadruple helix model and formulates a corresponding system dynamics model based on causality analysis. After validating the PCIN model using empirical data, simulations are carried out using Vensim PLE software. Finally, this study identifies key factors that promote the formation of PCIN in China through sensitivity analysis.

The results show that PC predicts a continuous increase in practice as of 2030. The tested drivers all positively influence the formation of the PCIN, with market demand and risk sharing having the greatest influence, followed by competitive pressure, profit government support, scientific and technological advancement and collaborative innovation strategy.

The study makes three major contributions. First, it provides a novel angle for a deeper understanding of the PC innovation. Second, it proposes a new approach for probing the formation and dynamics of the PCIN. Finally, it offers a theoretical reference for promoting the formation of innovation networks and the development of PC.