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The construction industry (CI) has been identified as one of the most challenging sectors for stakeholders to achieve organizational success. Although previous studies had examined both organizational leadership (OL) and employee well-being (EWB) in the CI, a bibliometric and systematic analysis of published articles is hitherto lacking. Therefore, this paper aims to conduct a bibliometric and scientometric review of published articles related to OL and EWB in the CI between 2008 and 2022.

A three-step method consisting of a bibliometric analysis, a scientometric analysis and an in-depth discussion were used. A total of 1,114 articles met the inclusion criteria. All articles were retrieved from the Scopus database.

The results present an in-depth discussion of the research publication trends, keywords co-occurrence analysis, document analysis and countries/regions analysis. This review paper identified three main research gaps in OL and EWB in the CI, namely, project management, technology innovation and people orientation. It also proposes “OL-EWB in the CI”' mechanisms and a theoretical framework to guide future research directions.

This review paper theoretically fills the gap in the lack of research summarizing OL and EWB in the CI and provides research gaps and trends for achieving a win-win situation for both companies and employees.

The purpose of this study is to investigate the influencing mechanism of consumers' continuous purchase intention toward the subscriber-based knowledge payment platforms (SBKPPs).

This study obtained 226 valid samples through questionnaire surveys and used partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methods to elucidate the complex causal patterns of consumers' continuous purchase intention toward the SBKPPs.

The findings revealed that perceived utilitarian value, perceived hedonic value and perceived social value directly affected consumers' continuous purchase intention, while content quality and service quality indirectly affected consumers' continuous purchase intention. In addition, this study also demonstrated that all factors must be combined to play a role, and there exist four configurations resulting in consumers' continuous purchase intention toward the SBKPPs.

The results can help researchers and practitioners better understand the causal patterns of consumers' continuous purchase intention toward the SBKPPs.

This study contributes to the knowledge payment literature by investigating consumers' continuous purchase intention toward the SBKPPs. This study also provides practical enlightenment for the SBKPPs' marketing.

Live streaming commerce, a new form of social commerce where firms integrate with broadcasters, community members and customers in live chat rooms for real-time interaction to help sell products, has become increasingly popular. However, factors that impact the success of live streaming commerce are not fully explored. The purpose of this study is to examine these factors by exploring the relationships among customer trust (i.e., trust in broadcasters, community members, and products) and customer engagement, and the mediating role of swift guanxi.

The authors surveyed 422 customers who have watched Taobao Live, one of the largest live streaming commerce sites in China, and used their questionnaires to test the research model employing partial least squares modeling.

The authors’ results indicate that trust in broadcasters has a positive effect on trust in products and community members, which positively influences trust in products. Additionally, swift guanxi has a fully mediating effect on the relationship between customers' trust in broadcasters and customer engagement.

First, from the theoretical perspective, this study comprehensively identifies three types of trust, explores the transfer relationships among trust in broadcasters, community members, and products based on Trust Transfer Theory. In addition, this study examines the mediating influence of swift guanxi on the relationship between customer trust and engagement. Second, from the managerial perspective, the study provides insights to help broadcasters and practitioners use live streaming to facilitate shopping.

Emotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of events, and causality analysis. Public–private partnership (PPP) projects represent a confluence of “economic–environmental–social” dimensions, wherein stakeholder behavior follows the sequential progression of “cognition–emotion–action.” Consequently, comprehending the effects of emotional shifts on stakeholder's decision-making processes is vital to fostering the sustainability of PPP projects.

The paper utilizes rank-dependent expected utility and evolutionary game theory to systematically examine the influence of emotional factors on stakeholders' behavior and decision-making processes within PPP projects. The paper integrates three emotional state functions—optimism, pessimism and rationality—into the PPP framework, highlighting the intricate interactions among the government, private sector, surrounding public and the media. Furthermore, the paper amalgamates the evolutionary pathways of environmental rights incidents with the media's role. Through equilibrium analysis and numerical simulation, the paper delves into the diverse interplay of emotions across different phases of the environmental rights incident, assessing the impact of these emotions on the evolutionary game's equilibrium results.

Emotions significantly influence the microlevel decisions of PPP stakeholders, adapting continually based on event dynamics and media influences. When the private sector demonstrates optimism and the surrounding public leans toward rationality or pessimism, the likelihood of the private sector engaging in speculative behavior escalates, while the surrounding public refrains from adopting a supervisory strategy. Conversely, when the private sector is pessimistic and the public is optimistic, the system fails to evolve a stable strategy. However, when government regulation intensifies, the private sector opts for a nonspeculative strategy, and the surrounding public adopts a supervisory strategy. Under these conditions, the system attains a relatively optimal state of equilibrium.

The paper develops a game model to examine the evolutionary dynamics between the surrounding public and private sectors concerning environmental rights protection in waste incineration PPP projects. It illuminates the nature of the conflicting interests among project participants, delves into the impact of emotional factors on their decision-making processes and offers crucial perspectives for the governance of such partnerships. Furthermore, this paper provides substantive recommendations for emotional oversight to enhance governance efficacy.

This paper aims to find the best method to predict the friction coefficient of textured 45# steel by comparing different machine learning algorithms and analytical calculations.

Five machine learning algorithms, including K-nearest neighbor, random forest, support vector machine (SVM), gradient boosting decision tree (GBDT) and artificial neural network (ANN), are applied to predict friction coefficient of textured 45# steel surface under oil lubrication. The superiority of machine learning is verified by comparing it with analytical calculations and experimental results.

The results show that machine learning methods can accurately predict friction coefficient between interfaces compared to analytical calculations, in which SVM, GBDT and ANN methods show close prediction performance. When texture and working parameters both change, sliding speed plays the most important role, indicating that working parameters have more significant influence on friction coefficient than texture parameters.

This study can reduce the experimental cost and time of textured 45# steel, and provide a reference for the widespread application of machine learning in the friction field in the future.

This paper models the deterioration process of a multi-component system. Each deterioration process is modelled by the Wiener process. The purposes of this paper are to address these issues and consider the cost process based on the multi-component system.

Condition-based Maintenance is a method for reducing the probability of system failures as well as the operating cost. Nowadays, a system is composed of multiple components. If the deteriorating process of each component can be monitored and then modelled by a stochastic process, the deteriorating process of the system is a stochastic process. The cost of repairing failures of the components in the system forms a stochastic process as well and is known as a cost process.

When a linear combination of the processes, which can be the deterioration processes and the cost processes, exceeds a pre-specified threshold, a replacement policy will be carried out to preventively maintain the system.

Under this setting, this paper investigates maintenance policies based on the deterioration process and the cost process. Numerical examples are given to illustrate the optimisation process.

This study aims to investigate the role of network in affecting private firms’ internationalization decision. Specifically, it investigates the way that business ties, political ties and status influence an internationalization decision.

On the basis of the survey data collected from Chinese private firms, this study distinguishes business ties from political ties and introduces network status. Binary logistic regression is used to test the hypotheses.

Results show that private firms that have business ties are more likely to internationalize, whereas private firms that have political ties are less likely to internationalize. High-status private firms are more likely to internationalize. Political ties negatively moderate the relationship between business ties and internationalization. High-status firms with political ties are more likely to internationalize.

This study provides theoretical and practical contributions. Results complement previous research on social networks in the context of Chinese private firms and have implications for managers who exert effort to internationalize their firms.

The purpose of this paper is to explore the mechanisms by which high-commitment organization is associated with employees’ job performance through the perspective of taking charge and the perceived strength of the human resource management (HRM) system.

Based on conservation of resources (COR) theory, the authors used two-wave survey data from 200 supervisor-subordinates pairs in China. This study uses hierarchical linear regression and bootstrapping method to analyze the mediated moderation effect.

The authors found that perceived high-commitment organization and perceived strength of the HRM system interact in predicting employees’ taking charge behavior, such that perceived high-commitment organization is more positively associated with taking charge when the perceived strength of the HRM system is high rather than low. In addition, taking charge mediates the relationship between interactive effects of perceived high-commitment organization and the perceived strength of the HRM system on employees’ job performance.

This study extended the high-commitment organization from the perspective of individual perception based on the COR theory and regard perceived high-commitment organization as an organizational resource.

Green product development is a pivotal way to achieve environmental sustainability. The purpose of this paper is to theorize and empirically test how environmentally specific leadership enhances the green product development performance from the perspective of the HRM system. In this regard, the authors investigate the mediating role of the strength of the HRM system to change with regard to the relationship between environmentally specific leadership and green product development performance. For a substantial explanation of the boundary condition, the authors investigate the moderating role of the green HRM on the relationship between environmentally specific transformational leadership and the strength of the HRM system.

Based on climate strength theory, the authors use the three-wave survey data from 362 top or middle managers in the new energy industry of China. This study uses hierarchical linear regression and bootstrapping method to analyze the mediated moderation effect.

Results confirm a positive effect of environmentally specific leadership and the strength of the HRM system on green product development performance. The authors also found the mediation effect of the strength of the HRM system and the moderation effect of green HRM are all significant.

This study integrates the perspectives of both content-focused HRM and process-focused HRM and demonstrates why leadership and the HRM system could jointly enhance green product development performance in Asia.

This study aims to understand how different levels of streamer channels influence luxury brand sales in live streaming commerce. This study also seeks to understand the conditions under which luxury brands may benefit more from different level streamer channels.

Panel data were collected from 17 international luxury brands on the Douyin live streaming platform in an 18 week period from August to December 2020 and analyzed by using a two-way fixed effects model.

The authors compared different mega-, macro- and micro-streamer channels within live streaming commerce and found that the densities of mega- and macro-streamer channels had significant positive impacts on luxury brand sales in live streaming commerce. Moreover, the effects of the density of streamer channel on luxury brand sales were moderated by such variables as product line breadth, product line depth, product type (star/non-star) and product price (high/low). The authors found that product line breadth and depth could reduce the positive impact of the densities of mega- and macro-streamer channels on luxury brand sales. For star products and high-priced products, the relationship between the density of mega-streamer channel and luxury brand sales was more likely to be observed than for non-star products and low-priced products. The relationship between the density of macro-streamer channel and luxury brand sales was more likely to be observed in low-priced products than in high-priced products.

The findings make important contributions to the literature in that the authors expand the influencer-brand fit theory by proposing a new model of effects of the densities of mega-, macro- and micro-streamer channels on sales performance across different luxury products to improve our understanding of the fit among influencers, brands and products. This helps luxury brands make basic decisions of “who sells” and “sells what” when engaging in live streaming commerce.