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The purpose of this study is to investigate the factors that influence the development of human capital by examining the interplay between different organizational mechanisms, including leadership, organizational culture and human resources management (HRM) practices. This study aims to enhance our understanding of how knowledge exchange influences human capital, with a specific focus on the unique context of Dubai, an area and context that have been underexplored in this research domain.

This study used a survey-based approach, involving 611 participants working across different sectors based in Dubai. This study used partial least squares structural equation modeling as the statistical analysis method.

The results of the study indicate that leadership behaviors have a predictive influence on organizational culture. In turn, organizational culture significantly affects knowledge exchange. Additionally, the study reveals that commitment-based HRM practices play a significant moderating role in the relationship between organizational culture and knowledge exchange.

This study contributes to the existing literature by providing valuable insights into the interplay between leadership, organizational culture and commitment-based HRM practices. By exploring these factors and their influence on knowledge exchange and human capital, the study enhances both the theoretical understanding and practical application in this field.

This study aims to investigate the relationship between trust in leader, organizational commitment (OC) and different dimensions of employee silence, namely, acquiescent silence (AS), quiescent silence (QS), prosocial silence (PSS) and opportunistic silence (OPS). Furthermore, this study examines the mediating role of OC in the relationship between trust in leader and the dimensions of employee silence. Moreover, this study also explores the moderating role of ethical leadership (EL) in the relationship between trust in leader and the dimensions of employee silence.

Based on an employee sample (n = 265) from the private banks in Southern India, a descriptive, nonexperimental analysis was conducted to study the relationship between trust in leader, OC and employee silence dimensions. A quantitative approach was adopted to the survey by distributing questionnaires to private-sector bank employees. A well-established measurement scale was used to collect data and the study results were analyzed using structural equation modellng to investigate the nature of the relationship considered in the study.

The results indicate that OC significantly influences various dimensions of employee silence, such as, QS and opportunistic and PSS behavior. However, the relationship between trust in a leader and all four dimensions of employee silence has produced insignificant results. Interestingly, the results indicate that OC mediates the relationship between trust in the leader and all the dimensions of employee silence (acquiescent, quiescent, prosocial and OPS). Moreover, EL significantly and negatively moderates the relationship between trust in a leader and AS. Also, EL significantly and negatively moderates the relationship between trust in a leader and OPS. The findings imply that when EL is high, trust in the leader helps reduce the employees’ AS and OPS behavior.

The results of this study have some important practical implications. First, it is understood from this study that the organization can address the issue of employee silent behavior when they focus on trust in the leader and the employees’ commitment. Second, as EL significantly moderates the relationship between trust in the leader and employee silence, organizations must groom immediate supervisors’ EL qualities to enhance the relationship of trust in the leader with employees’ acquiescence and OPS.

By building trust in leaders and prioritizing ethical practices, the organizations can create a positive work environment that benefits all stakeholders and society. The findings of this research can be effectively leveraged to promote good governance and enhance public confidence in the banking sector. Ultimately, establishing trust in leadership boosts banks’ visibility and allows them to engage with wider audiences through online platforms, promoting their services effectively.

The originality of this study lies in its exploration of the critical role of trust in leader and OC shaping various dimensions of employee silence within the context of private banks. This study contributes to a better understanding of the relationship between trust in a leader and OC and its consequences. This study provides valuable implications for the private banking sector in predicting the motives behind employee silence and finding ways to mitigate this silent behavior. Also, the study has encapsulated the moderating role of EL in the relation between trust in leader and employee silence.

Implementing a green strategy to enhance the competitiveness of enterprises is a hot topic in current research. Although most enterprises have formed a green strategy orientation (GSO), it has not been transformed into green competitiveness (GC). Prior studies have not thoroughly studied the effect and mechanism of GSO on GC. To fill this research gap, based on optimal distinctiveness theory, this paper discusses the mediating role of two kinds of green innovation (GI) in the GSO–GC relationship and the moderating role of big data capability (BDC).

This study adopts the quantitative research methods of multiple linear regression, Bootstrap and structural equation modeling (SEM). Data were collected through a questionnaire and a random sampling method was used to survey middle and senior managers and professionals in manufacturing enterprises. About 400 questionnaires were distributed, and 342 valid questionnaires were collected.

The conclusions show that GSO significantly positively affects GI and GC. Still, it turns out that only strategic green innovation (SGI) mediates the GSO–GC relationship. BDC can positively moderate the mediation effect of SGI between GSO and GC, thus supporting the moderated mediation model.

This study used a survey questionnaire from Chinese manufacturing enterprises to collect data, but the sample size was limited. Furthermore, the mediating mechanism by which GSO affects GC requires further exploration. This study directly establishes the GSO–GC relationship based on the optimal distinctiveness theory, making an essential contribution to the literature on GSO and GC. At the same time, this paper uses GI as a bridge to connect the relationship between GSO and GC, enriching the literature on GI. In addition, we consider BDC to be a moderator, expanding the boundaries of the GSO–GC relationship.

This study provides new knowledge and insights for manufacturing enterprises to construct and implement green strategies to achieve GC. More importantly, managers should attach great importance to the critical role of SGI and BDC.

This study understands the importance of GSO, SGI and BDC to GC in theory and practice.

The purpose of this paper is to study the relationship between high temperature oxidation and temperature rise rate of engine oil attempted to explore a new indicator to evaluate oil degradation.

Accelerated oxidation test combined with molecular simulation and road test is carried out in this paper. The temperature rise characteristics of mineral oil and synthetic oil under different oxidation temperatures (140°C, 155°C and 170°C) and time (50 h, 100 h, 150 h and 200 h) were determined by accelerated oxidation. The mechanism of temperature change characteristics of used oils was analyzed with molecular simulation. Two experimental vehicles carried six road tests with synthetic and mineral oil.

The results of this study show that the temperature rise rate of oxidized mineral and synthetic oil is higher than the new oil. The temperature rise rate is proportional to the oxidation time and oxidation temperature. The synthetic engine oil temperature rise rate is lower than that of the mineral engine oil. The same result was obtained in road tests. Molecular simulation verifies that small molecules were generated after oil oxidation which results in intermolecular friction and increased heat generation.

This paper indicates that temperature rise rate has potential to be taken as an indicator to evaluate oil oxidation which provides a new way for engine oil analysis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0177/

Can state-owned equity participation inhibit private enterprises’ greenwashing behavior? If so, what are the mechanisms involved? Is there any difference in the impact of state-owned equity participation on private enterprises’ greenwashing behavior in different contexts? The answers to the above questions not only fill the existing research gaps but also provide new research ideas for greenwashing governance in developing countries.

Using a sample of Chinese A-share listed private enterprises from 2011 to 2022, we examine the impact of state-owned equity participation on private enterprises’ greenwashing behavior.

The results suggest that state-owned equity participation can significantly inhibit private enterprises’ greenwashing behavior. Mechanism analysis shows that state-owned equity participation suppresses private enterprises’ greenwashing behavior by alleviating financing constraints through the resource effect and reducing managerial myopia through the governance effect. Moderating effect analysis indicates that media attention can strengthen the inhibitory effect of state-owned equity participation on private enterprises’ greenwashing behavior. Heterogeneity analysis shows that the inhibitory effect of state-owned equity participation on private enterprises’ greenwashing behavior is more significant in areas with a low degree of marketization and non-heavy-polluting industries.

The findings enrich the governance factors of private enterprises’ greenwashing conduct from the standpoint of diverse shareholders, assist developing countries in formulating more specific policy goals and provide important insights into global environmental governance practices.

Green innovation in human-centric smart manufacturing (HSM-GI) has emerged as a new paradigm in innovation management for Industry 5.0. The evaluation analysis method is crucial for measuring the development progress and guiding continual improvements of HSM-GI. Since this process of HSM-GI can be regarded as complex and interactive, a holistic picture is often required to describe the interrelations of its antecedents and consequences. In this respect, this study aims to construct a causality network indicator system and proposes a synergy evaluation method for HSM-GI.

Firstly, based on the Driver force-State-Response (DSR) causal-effect framework, this study constructs a holistic indicator system to analyze the interactions between environmental and human concerns of HSM-GI. Secondly, owing to the imprecision of human cognition and synergy interaction in the evaluation process, a flexible hesitant fuzzy (HF) superiority-inferiority synergetic evaluation method is presented. This method quantifies the strengths of causal relationships and expresses the incentives and constraints attitudes of humans. Finally, the proposed framework is applied to six HSMs in the electronic technology industry.

The driving force and state of the HSM-GI system exhibit an upward trend, while the response continues to decline due to changing market demands. The order and synergy degree have shown an increasing trend during 2021–2023, particularly significant for BOE and Haier Smart Home. HSM-GI systems with higher scores mostly have functional coordination and a coherent synergy structure.

This study demonstrates the proposed approach’s applicability and assists policymakers in formulating targeted strategies for green innovation systems.

In the context of constructing an integrated national strategic system, collaborative innovation among enterprises is the current social focus. Therefore, in order to find the interest relationship between multiple game subjects, to explore the influencing factors of collaborative innovation of civil-military integration enterprises. This paper constructs a collaborative innovation mechanism for military–civilian integration involving four game subjects (military enterprises, private enterprises, local governments, and science and technology intermediaries). It aims to solve and reveal the evolutionary game relationship among the four parties.

To explore the mechanism of military–civilian collaborative innovation involving four players, this study employs game theory and constructs an evolutionary game model for collaborative innovation with the participation of military enterprises, civilian enterprises, local governments, and technology intermediaries. The model reveals the evolutionary game patterns among these four entities, analyzes the impact of various parameters on the evolutionary process of the game system, and numerical simulation is used to show these changes more specifically.

The research findings demonstrate that active government subsidies promote cooperation throughout the system. Moreover, increasing the input-output ratio of research and development (R&D), the rate of technological spillovers, and the R&D investment of civilian enterprises all facilitate the tendency toward cooperation within the system. However, when the government chooses to actively provide subsidies, increasing R&D investment in military enterprises may hinder the tendency toward cooperation. Furthermore, central transfer payments, government punishment from the central government, and an increase in the information conversion rate of technology intermediaries may suppress the rate of cooperation within the system.

Most of the previous studies on the collaborative innovation of military–civilian integration have been tripartite game models between military enterprises, private enterprises, and local governments. In contrast, this study adds science and technology intermediaries on this basis, reveals the evolution mechanism of collaborative innovation of civil-military integration enterprises from the perspective of four-party participation, and analyzes the factors influencing the cooperation of the whole system. The conclusion of this study not only enriches the collaborative innovation evolution mechanism of military–civilian integration enterprises from the perspective of multiple agents but also provides practical guidance for the innovation-driven development of military–civilian integration enterprises.

The purpose of this study is to solve the problem that existing researches ignore the long-term and staged nature of digital transformation, failing to conduct specific discussions for different stages. It responded the call by constructing a three-stage evolutionary model to analyze the impact of digital transformation at different stages on the sustainable performance of manufacturing enterprises. The moderating effect of core technology capabilities is also explored, guided by the theory of assimilation innovation.

Based on the panel data of Chinese listed manufacturing companies from 2012 to 2020, this study empirically investigate the impact of digital transformation (digital process, digital operation and digital ecology) on sustainability performance (economic performance and environmental performance).

The findings indicate that digital operations and digital ecology significantly improve economic performance and environmental performance. Furthermore, the core technological capacity of the enterprise serves to modify the positive correlation between digital transformation at each stage and sustainable performance to some extent. In other words, when an enterprise is equipped with the requisite technological capacity, the digital transformation at each stage accelerates both economic performance and environmental performance, which in turn is conducive to an improvement in the enterprise’s sustainable development performance.

The findings contribute to the theoretical framework of digital transformation and sustainable development in all stages of enterprises. Furthermore, they provide guidance for achieving sustainable development through the implementation of digital transformation and the enhancement of core technological capacity.

COVID-19 has aggregated the need for a non-contact medical logistic system. A non-contact robot with self-navigation ability has greatly enhanced the efficiency of the medical logistic system. This paper aims to design a new medical logistics robot system for the complex environment of hospitals with dynamic obstacles.

Targeting a medical logistics robot system for a large-scale hospital environment, this study proposed a dynamic obstacle avoidance system to reduce the robot’s delay time as well as frequent route switching. In the algorithm, this study proposed a new loop closure detection with an artificial correction factor. Moreover, this study presented enhanced 3D object detection, improving detection accuracy in hospital environments.

Experimental results confirm that the robot can move along its global path and reach its destination without colliding with stationary or moving obstacles.

The medical logistics robot system has safe and stable performance in real hospital scenarios. The implementation verifies that the robot has effectiveness and reliability in both hardware and software design.

Under the rural revitalization, the effect of China's implementation of rural prefabricated housing is not obvious. Cost has become the biggest obstacle to its development. Therefore, it is necessary to study the factors influencing the cost of prefabricated buildings in villages and clarify the focus of cost control.

This paper focuses on the whole process of prefabricated housing construction in villages in China and uses grounded theory to identify and screen out 27 related factors that affect the construction cost of prefabricated buildings. A system dynamics model is used to dynamically analyze the influencing factors. The engineering examples in rural areas of southern Shaanxi are simulated. Finally, five key factors that influence cost are obtained. Based on this, cost control countermeasures are proposed for rural prefabricated housing in southern Shaanxi.

The results show that: the key factors affecting the cost of prefabricated buildings in villages include the selection of production methods, the degree of design standardization, the quality of construction personnel, the level of construction technology and the circulation cycle of molds. The cost of prefabricated housing in villages can be controlled through five aspects: mass production of components, design exchange and feasibility analysis, improvement of employee professionalism, strict selection of construction schemes and technologies and improvement of mold turnover rate.

The system dynamics model applied in this paper is based on the idealized state. The system boundary is narrow and has a certain subjectivity. It needs further detailed research to make it closer to the engineering practice. In addition, this paper applies the rural engineering example in southern Shaanxi to carry out a single case study, and the universality of the research results needs to be further tested. There are many village construction projects and building types, so the research results can be further enriched through large sample research.

Rural construction is an important step in the implementation of rural revitalization. Exploring the factors that affect the key costs of prefabricated buildings in villages and towns in view of the particularity of rural areas will help provide a reference for their cost control and help the rural development of prefabricated houses.

The research results of this paper can provide a reference for the development of prefabricated buildings in other rural revitalization areas.

Different from the traditional research on urban prefabricated buildings, this paper focuses on rural areas and explores the core factors affecting the cost of prefabricated buildings from the micro level. This study establishes a system dynamics model suitable for the cost control of prefabricated housing at the village level and provides methods for its cost control. Based on the identified key factors affecting costs, cost control measures were proposed for prefabricated housing tailored to the unique characteristics of villages.