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This study aims to provide a new perspective and path to reduce the unsafe behavior of new generation of construction workers (NGCWs) in China. The purpose of this study is to explore the influencing mechanism of work-family balance on the unsafe behavior of NGCWs and test the mediating effect of job satisfaction and the moderating effect of group safety climate.

A theoretical model on the influencing mechanism of work-family balance on unsafe behavior of NGCWs was constructed through theoretical analysis. Research data were collected from 502 NGCWs via a questionnaire survey, and research hypotheses were testified with regression analysis.

The results show that work-family balance not only directly reduces NGCWs’ unsafe behavior but also indirectly reduces it through job satisfaction, which plays a partial mediating role. In addition to positively moderating the relationship between work-family balance and NGCWs’ unsafe behavior, group safety climate can also moderate the relationship between work-family balance and job satisfaction in a positive way.

This study provides practical implications for construction companies to reduce the unsafe behaviors of NGCWs from the perspective of work-family balance. Specifically, construction companies should adopt more flexible work rules, such as flexible organization and rotation systems, to increase their work autonomy. Meanwhile, construction companies need to improve the work environment and basic conditions for NGCWs, establish a reasonable salary system and provide attractive promotion opportunities to increase their job satisfaction. In addition, construction companies should provide active safety lectures and training, and supervisors should improve safety communication and interaction levels. Co-workers should remind workers about their safety attitudes and behaviors promptly. A good group safety climate will be created through the efforts of construction companies, supervisors and co-workers.

This study clarifies the influencing mechanism of work-family balance on the NGCWs’ unsafe behavior and further tests the partial mediating role of job satisfaction and the positively moderating effect of group safety climate on the influence relationship of work-family balance on job satisfaction and NGCWs’ unsafe behavior, which defines the boundary conditions of the relationship between work-family balance and NGCWs’ unsafe behavior, and promotes the effective integration of social exchange theory and theoretical system of influencing mechanism of construction workers’ unsafe behavior.

Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.

A decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.

Various factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.

Despite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.

New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave differently when dealing with knowledge-related activities due to divergent characteristics caused by generational discrepancy. To provide a theoretical foundation for construction companies and safety managers to improve safety management, this research explores the factors and paths impacting the NGCWs' ability to share their safety knowledge.

Based on literature review, main factors that influence the safety knowledge sharing of the NGCWs were identified. Decision-Making Trial and Evaluation Laboratory and Interpretive Structural Modeling were applied to identify the hierarchical and contextual relations among the factors influencing the safety knowledge sharing of the NGCWs.

The results showed that sharing atmosphere ranked first in centrality and had a high degree of influence and being influenced, indicating itself an extremely important influencing factor of safety knowledge sharing of NGCWs. Six root influencing factors were identified, including individual characteristics, work pressure, sharing platform, incentive mechanism, leadership support and safety management system.

The number of influencing factors of safety knowledge sharing of the NGCWs identified in this study is limited, and the data obtained by the expert scoring method is subjective. In future studies, the model should be further developed and validated by incorporating experts from different fields to improve its integrity and applicability.

The influencing factors identified in this paper can provide a basis for construction companies and safety managers to improve productivity and safety management by taking relevant measures to promote safety knowledge sharing. The research contributes to the understanding knowledge management in the context of the emerging market. It helps to answer the question of how the market can maintain the economic growth success through effective knowledge management.

This paper investigates the influencing factors of NGCWs' safety knowledge sharing from the perspective of intergenerational differences, and the 13 influencing factor index system established expands the scope of research on factors influencing safety knowledge sharing among construction workers and fills the gap in safety knowledge sharing research on young construction workers. Furthermore, this paper establishes a multi-layer recursive structure model to clarify the influence path of the influencing factors and contributes to the understanding of safety knowledge sharing mechanism.

The purpose of this study is to explore the influence mechanism of new-generation construction workers (NGCWs)’ job satisfaction on the professionalization behavior in China, through theory of planned behavior (TPB), and find the key path to promote the professionalization behavior of China’s construction workers.

A theoretical model of influence mechanism was established through literature research and theoretical deduction based on TPB and structural equation model. The scale of variables was developed, and an empirical study was employed with a sample of 823 NGCWs in China.

The results indicate that job satisfaction can positively affect NGCWs' professionalization behavior. Subjective norm, attitude and perceived behavior control play mediating roles in the influence process. Job satisfaction is more likely to act on professionalization behavior through subjective norm and behavioral intention.

Research results sorely suggest a short-term law about the influence mechanism of NGCWs' job satisfaction on professionalization behavior through a questionnaire study from China’s construction industry. Future research ought to continue to use a longitudinal study to examine it over a considerable amount of time. The results also need to be verified using data from young construction workers in other nations.

This study provides a theoretical basis and feasible management reference for government and construction enterprises in China to promote NGCWs' professionalization behavior from the perspective of job satisfaction. Furthermore, the promotion of NGCWs' job satisfaction and professionalization behavior can do good to building industrialization, sustainable development and high-quality transformation of labor force in the construction industry.

This paper demonstrates the positive influence of job satisfaction on professionalization behavior of NGCWs and finds the most effective affecting path. It fills the research gap about the influence mechanism of job satisfaction on young construction workers' professionalization behavior and enriches the theoretical system of planned behavior of construction workers.

This study aims to explore how brands’ degree of internationalization influences consumers’ attitudes toward brands’ engagement in cross-border philanthropy by taking legitimacy as a mediating mechanism. The authors further investigate the moderating role of cause acuteness in this effect to identify practical strategies for managers.

The hypotheses are tested via laboratory experiments. In brief, Study 1 investigates the relationship between a brand’s degree of internationalization and perceived legitimacy for corporate cross-border philanthropy and the impact of internationalization on consumers’ brand evaluations of such philanthropy. Study 2 addresses the moderating role of cause acuteness.

The authors discover that companies with a high (vs low) degree of internationalization gained more legitimacy, and thus better brand evaluations, upon engaging in corporate cross-border philanthropy. This effect reverses when the causes are related to sudden disasters rather than ongoing tragedies.

This study provides valuable guidance for marketers seeking to leverage cross-border philanthropy to enhance consumers’ brand attitudes. Specifically, brands’ degree of internationalization should be consistent when performing cross-border philanthropy. Otherwise, brands will struggle to gain legitimacy and will earn less favorable consumer evaluations.

This work enriches the literature on corporate social responsibility in the domain of cross-border philanthropy and elucidates consumers’ attitudes toward this type of philanthropy in a corporate context. This study also meaningfully contributes to research on brands’ internationalization and legitimacy.

In the textile dyeing industry, the foam dyeing has been recognized as a significantly sustainable alternative for the cotton fabrics. However, this efficient technology undergoes the many issues related to the foam generation, foam optimization and the required performance of the resultant fabrics. The purpose of this paper is to address these issues through the development and optimization of the novel reactive foam dyeing recipes for the cotton fabrics.

The foam dyeing recipes were generated and optimized using the different stabilizers, foaming agents and three primary colors of reactive dyes. The different recipes were applied onto the cotton fabric using laboratory scale foam coating machine. The performance of the foam coated and padded fabrics was evaluated using different criteria including the shade depth, rubbing fastness, air permeability, washing fastness, perspiration fastness, light fastness and tear strength. Then, a complex decision-making approach, namely, analytic hierarchy process (AHP), was applied for the ranking of the key recipes based on the main criteria.

The newly optimized foam dyeing recipes were found very competitive with the conventional pad dyeing process with respect to the shade-depth and the other performance properties. The optimization of foaming parameters and addition of stabilizers have advanced the foam dyeing process, which would accelerate the implementation of foam dyeing methods in the textile industry. Furthermore, significant water and energy savings would be achieved as compared to the conventional foam dyeing. AHP model offered a comprehensive and rational way to identify the most important recipes amongst the selected recipes.

In this research, novel foam dyeing recipes have been developed for the cotton fabrics through the optimization of the different stabilizers, foaming agents and the three primary colors of reactive dyes. Until now, the exiting literature has not reported the combination of these stabilizers with the different foaming agents and three primary reactive dyes for the improvement of sustainable foam cotton dyeing process.

As the new frontier in online healthcare innovation, mobile health consultation (MHC) is transforming how traditional healthcare is delivered. Despite being known on a large scale for its benefits, MHC still faces consumer resistance. MHC is a technology-enabled service, so an in-depth analysis of consumer resistance from the perspective of technology is crucial to enhance service adoption. This study sought to determine the mechanism by which two information technology (IT)-specific traits – IT affordance and IT identity – influence consumer resistance to MHC during consumer–platform interactions.

We used the Credamo platform to gather data from 786 users with medical consulting experience to validate the resulting relationships.

Based on partial least squares structural equation modeling, three of the six IT affordances (visibility, searching and guidance shopping) exerted a significant positive influence on IT identity, while trigger attending and association affordance had no significant effect on IT identity. Persistence affordance was negatively associated with IT identity, and IT identity negatively influenced consumer resistance to MHC.

Academically, this empirical paper primarily contributes to the MHC literature and the theory of IT affordance and IT identity. Practically, several valuable guidance for MHC platforms is provided.

This study identifies three main CSR motivations (i.e. strategic benefits, altruism and greenwashing) and explores the relationship between CSR motivations and environmental collaboration by considering the mediating role of environmental commitment and the moderating role of team autonomy.

The data collected from 336 respondents in the construction industry, structural equation modeling and bootstrapping were used to test hypotheses.

The findings show that altruistic CSR enhances environmental collaboration through enhancing environmental commitment, whereas greenwashing CSR damages environmental collaboration through reducing environmental commitment. Although there is no direct association between strategic CSR and environmental collaboration, environmental commitment mediates the effects of strategic CSR on environmental collaboration. Moreover, the positive effect of strategic CSR and altruistic CSR on environment commitment is stronger when team autonomy is stronger, whereas the negative effect of greenwashing CSR on environment commitment is weaker when team autonomy is stronger.

The findings contribute to the understanding of how CSR motivations can act as catalysts for collaborative efforts in addressing environmental issues within construction projects and offer theoretical understanding of team autonomy by illustrating its role in shaping organizational responses to CSR motivations. The findings can provide insights into why and how participating teams can collaborate better on environmental management, enriching the knowledge of environmental management practices in construction projects.

This article explores brand positioning and authenticity within the global-local continuum, utilizing the evolution of the Italian rock band, Måneskin, as a case study.

Employing Greimas’s (1987) semiotic framework, I analyze social media and media articles on Måneskin’s success, unveiling consumer perceptions of global, local and intermediate brand positionings and related authenticity dimensions. I particularly uncover a narrative centered on “global” versus “local” brand positioning and their counterparts (i.e. “not global” and “not local”), forming a semiotic square.

In the “global” perception, the band is evaluated in terms of conforming to global standards, while, in the “local” understanding, the emphasis shifts to connections to local roots. In the “glocalization” perspective (global and local), the band’s activities are assessed concerning an integration between global conformity and local connections. The “glalienation” viewpoint (neither global nor local) is related to consistency, in the sense of being unique and avoiding a commitment to either global or local values. The data also highlight issues of inconsistency regarding brand positioning’s contradictions, such as the band’s incoherently merging local and non-local elements.

The proposed structural semiotics approach enriches previous theories by examining authenticity within global-local dynamics, offering insights into various authenticity dimensions and their interplay. It underlines shifts in authenticity perceptions and challenges binary brand positioning, advocating for strategic placement across the global-local continuum. Moreover, it emphasizes leveraging cultural elements and semiotics to effectively communicate authenticity.

This paper proposes a solution for recognizing human faces under mask-wearing. The lower part of human face is occluded and could not be used in the learning process of face recognition. So, the proposed solution is developed to recognize human faces on any available facial components which could be varied depending on wearing or not wearing a mask.

The proposed solution is developed based on the FaceNet framework, aiming to modify the existing facial recognition model to improve the performance of both scenarios of mask-wearing and without mask-wearing. Then, simulated masked-face images are computed on top of the original face images, to be used in the learning process of face recognition. In addition, feature heatmaps are also drawn out to visualize majority of parts of facial images that are significant in recognizing faces under mask-wearing.

The proposed method is validated using several scenarios of experiments. The result shows an outstanding accuracy of 99.2% on a scenario of mask-wearing faces. The feature heatmaps also show that non-occluded components including eyes and nose become more significant for recognizing human faces, when compared with the lower part of human faces which could be occluded under masks.

The convolutional neural network based solution is tuned up for recognizing human faces under a scenario of mask-wearing. The simulated masks on original face images are augmented for training the face recognition model. The heatmaps are then computed to prove that features generated from the top half of face images are correctly chosen for the face recognition.