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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.

The practice of cronyism is a pervasive problem for most businesses and a great hindrance for employees, but empirical literature on its outcomes is scant. In light of such gaps, the objective of this study is to examine the relationship between organizational cronyism and employees' silence behavior through the mediating role of felt violation and the moderating role of continuance commitment.

A time-lagged cross-sectional survey comprising 226 respondents is carried out in a metropolitan city of a developing country (Lahore, Pakistan). The respondents were selected using the convenience sampling technique.

The findings reveal that organizational cronyism influences employees' silence (acquiescent and quiescent) both directly and indirectly (via felt violation). However, continuance commitment was noted to work as a boundary condition only between felt violation and quiescent silence.

Although the study deals with common method bias by collecting data in two waves, it may restrict causality. The findings not only have implications for the academicians, but also contribute to the conservation of resources theory. This study suggests organizations develop and implement a comprehensive intervention strategy that focuses on both prevention and damage control as a result of organizational cronyism.

Drawing upon the conservation of resources theory, this study adds value to the literature by empirically investigating the outcomes of cronyism at work. Moreover, the outcomes and mechanisms under consideration have largely been ignored in the literature.

The numerous spoil grounds brought about by mega transportation infrastructure projects which can be influenced by the ecological environment. To achieve better management of spoil grounds, this paper aims to assess their comprehensive risk levels and categorize them into different categories based on ecological environmental risks.

Based on analysis of the environmental characteristics of spoil grounds, this paper first comprehensively identified the ecological environmental risk factors and developed a risk assessment index system to quantitatively describe the comprehensive risk levels. Second, this paper proposed a comprehensive model to determine the risk assessment and categorization of spoil ground group in mega projects integrating improved projection pursuit clustering (PPC) method and K-means clustering algorithm. Finally, a case study of a spoil ground group (includes 50 spoil grounds) in a mega infrastructure project in western China is presented to demonstrate and validate the proposed method.

The results show that our proposed comprehensive model can efficiently assess and categorize the spoil grounds in the group based on their comprehensive ecological environmental risk. In addition, during the process of risk assessment and categorization of spoil grounds, it is necessary to distinguish between sensitive factors and nonsensitive factors. The differences between different categories of spoil grounds can be recognized based on nonsensitive factors, and high-risk spoil grounds which need to be focused more on can be identified according to sensitive factors.

This paper develops a comprehensive model of risk assessment and categorization of a group of spoil grounds based on their ecological environmental risks, which can provide a reference for the management of spoil grounds in mega projects.

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.

In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

This study aims to identify the attitudes of Chinese residents towards tourists and tourism development. Based on periods of observation, temporary residency and several visits for more than a decade, and supplemented by data collected from 478 residents, the study examines to what extent the rural villagers identify the tourism induced changes as being an outcome of official Chinese policies. The villages, Xidi, Hongcun and Nanping, are three heritage villages in Anhui Province and represent appropriate case studies for such an examination due to their differing histories of tourism administrative procedures. Findings contribute to scholarly knowledge by putting pro-poor tourism and community participation under scrutiny in Chinese context. A change of residents’ perceptions towards tourism could potentially be consequential for tourists’ experience and the sustainability of tourism development, particularly in emerging rural destinations.

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.

Lead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC.

This work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer.

Results revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness.

This work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.