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The purpose of this study is to examine the potential process through which leadership exerts impacts on organizational innovation. A thorough analysis was conducted by highlighting the contribution of ambidextrous leadership to organizational innovation.

Data were collected from companies located in mainland China. A total of 200 cases were included in the final sample. Hierarchical regression analysis was adopted to test the hypotheses in this study.

The results showed that exploitation knowledge search and exploration knowledge search partly mediated the relationship between ambidextrous leadership and organizational innovation, respectively. Strategic flexibility could positively moderate the relationship between exploitation knowledge search and organizational innovation and had no significant impacts on moderating the relationship between exploration knowledge search and organizational innovation.

In this study, not only were managers provided with a sophisticated understanding of how and when ambidextrous leadership could influence organizational innovation but also concrete strategies were given for enhancing organizational innovation.

In this study, the interaction among ambidextrous leadership, knowledge search and organizational innovation were elucidated and the moderating impacts of strategic flexibility on the relationship between knowledge search and organizational innovation were explored. The findings of this study enriched the literature on leadership, knowledge management and innovation.

As coaching assumes an increasingly critical role in satisfying employees' demands for growth, the function of coaching has progressively shifted towards direct supervisors. This study seeks to investigate the distinct effects of managerial coaching behaviors on employee outcomes from an emotional perspective. Specifically, we aim to explore whether leaders' encourage-to-explore and guide-to-learn behaviors impact employees' creativity and performance through discrete emotional mechanisms upon appraisal theory of emotion.

We conducted two studies to test our proposition. In study 1, an experiment using coaching scenarios was performed with 128 students majoring in management. In study 2, data were collected from 311 supervisor-subordinate dyads.

The results indicate that encourage-to-explore behaviors are positively related to employee creativity by fostering feelings of inspiration, and guide-to-learn behaviors are positively related to employee performance by alleviating anxiety. These findings suggest that different leaders’ coaching behaviors influence employee outcomes through different emotional processes. The theoretical and practical implications of the findings are also discussed.

These findings suggest that different leaders’ coaching behaviors influence employee outcomes through different emotional processes. The theoretical and practical implications of the findings are also discussed.

This study aims to explore the conflicting issues of carbon accounting and trading practices in China through the lens of agonistic democracy.

Based on a framework of three interrelated levels, this study explores emitting entity carbon accounting debates and discussions in mitigating climate change. Interview data were collected from 20 emitting entity participants and external auditors.

This study identifies irreconcilable conflicts between emitting entities and the government in carbon accounting and trading activities. Under the strong influence of government power, emitting entities portray themselves as “responsible” and “legitimate” state-owned enterprises. This study further identifies possible democratic spaces and reveals the potential for agonistic discourse and a fallacy of “consensus” and monologues in institutional space. If the emitting entity and government can overcome their participation challenges, this would significantly facilitate vibrant and agonistic discourse in carbon activities and pave the way for democratic spaces.

This study demonstrates the potential and limitations of applying agonistic democracy and the significance of participation in institutional spaces in government-led carbon accounting and trading issues. It enriches prior research on promoting democratic participation in carbon accounting from the agonistic democracy perspective.

The purpose of this study is to examine the differential association of family supportive supervisor behavior on promotive voice under different gender. Further, while employees’ self-concept factors have received considerable attention in the research on the triggering mechanism of employee voice, the authors’ knowledge about how and when family factors affect employee voice remains underdeveloped.

According to the resource conservation theory and gender role theory, the authors constructed a research model to investigate the influence and boundary of family supportive supervisor behavior on employee promotive voice and tested their research model using a paired data of 332 married employees and their direct supervisors of enterprises in China.

The findings suggest that family supportive supervisor behavior has a positive effect on employee promotive voice. Family supportive supervisor behavior can strengthen employee promotive voice by improving work-to-family enrichment and reducing work–family conflict, yet no significant mediation effect was found regarding family-to-work enrichment and conflict. Furthermore, family supportive supervisor behavior is more likely to improve female employee work–family enrichment and assuage male employee work–family conflict and thus enhance employee promotive voice.

This study sheds light on the different influential paths of family supportive supervisor behavior on promotive voice of employees of different genders and provides references for enterprises to motivate employees’ promotive voice.

The purpose of this study is to explore how and when ethical leadership enhances bootlegging. To achieve this purpose, the authors proposed a moderated dual-path model in this study.

The model was tested on two related studies. Study 1 was based on three-wave, collected data from a sample of 511 employees of Chinese companies. Data used in Study 2 was collected by survey from employees and their direct leaders of multiple departments of companies in China.

In Study 1, the authors found that moral efficacy and moral identity mediate between ethical leadership and bootlegging. Findings from Study 2 provide convergent support of moral efficacy’s and moral identity’s impact on the mediation relationship between ethical leadership and bootlegging. Moreover, the results of Study 2 further reveal that the relationship between ethical leadership and moral efficacy (or moral identity) was more significant among leader–follower with different genders.

This study not only enriches the literature on ethical leadership and gender (dis)similarity, but also helps managers to better understand the function of bootlegging.

The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014.

Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis.

Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO₂ emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant.

China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed.

The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.

The purpose of this paper is to investigate the tribological effects of laser surface texturing (LST) and residual stress on functional surfaces.

Three different surface textures (circular dimple, elliptical dimple and groove) with two different textured area ratios (10 and 20 per cent) are designed and fabricated by a Picosecond Nd YAG Laser machine. The friction and wear performance of textured specimens is tested using a UMT-2 friction and wear testing machine in mixed lubrication.

Test results show that elliptical dimples exhibit the best performance in wear resistance, circular dimples in friction reduction and grooves in stabilization of friction. The surfaces with larger textured area density exhibit better performance in both friction reduction and wear resistance. The improved performance of LST is the coupled effect of surface texture and residual stress.

The findings of this study may provide guidance for optimal design of functional surface textures in reciprocating sliding contacts under mixed or hydrodynamic lubrication, which can be used in automotive and other industrial applications.

This paper aims to study the startup performance of thrust bearing. The effects of acceleration scenarios, roughness, the area ratio of texture and texture depth on the transient startup performance of the thrust bearing were analyzed.

The lubrication model is solved by the Reynolds equation with the mass-conservation boundary condition. The Greenwood and Tripp contact model is used to predict asperity contact load. The finite volume method is used to discretize the governing equations.

By studying the bearing performance with different acceleration functions, it was found that the higher the acceleration at the beginning of the startup, the faster the thrust bearing operates under the hydrodynamic lubrication regime in the start stage. It appears that the friction and contact time of asperity increase with the increasing roughness. The optimal area ratio of texture is within 30%–50%. The depth of texture ranging from 1 to 2 is the best.

This paper proposes a transient mixed lubrication analysis model of the thrust bearing. This model can be used to analyze the variations of tribological performance and lubrication regime of the thrust bearing under different acceleration scenarios.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2022-0268/

The safety performance of cooperative robots is particularly important. This paper aims to study collision detection and response of cooperative robots, which meet the lightweight requirements of cooperative robots and help to ensure the safety of humans and robots.

This paper proposes a collision detection, recognition and response method based on dynamic models. First, this paper identifies the dynamic model of the robot. Second, an external torque observer is established based on the model, and a dynamic threshold collision detection method is designed to reduce the interference of model uncertainty on collision detection. Finally, a collision position and direction estimation method is designed, and a robot collision response strategy is proposed to reduce the harm caused by collisions to humans.

Comparative experiments are conducted on static threshold and dynamic threshold collision detection, and the results showed that the static threshold only detected one collision while the dynamic threshold could detect all collisions. Conducting collision position and direction estimation and collision response experiments, and the results show that this method can determine the location and direction of collision occurrence, and enable the robot to achieve collision separation.

This paper designs a dynamic threshold collision detection method that does not require external sensors. Compared with static threshold collision detection methods, this method can significantly improve the sensitivity of collision detection. This paper also proposes a collision position direction estimation method and collision separation response strategy, which can enable robots to achieve post collision separation and improve the safety of cooperative robots.

This paper aims to examine the effects of CO₂ emissions, energy consumption, cultivated area and the labour force on the production of cereal crops in Pakistan from the period 1971-2014.

The study used the Johansen cointegration test, the autoregressive distributed lag (ARDL) approach and Granger causality test to estimate the long-run cointegration and direction of the relationship between the dependent and independent variables.

The outcomes of the Johansen cointegration test confirmed the existence of a long-term cointegrating relationship between the production of cereal crops, CO₂ emissions, energy consumption, cultivated area and the labour force. The results of the long-run coefficients of CO₂ emissions, energy consumption, cultivated area and labour force have a positive impact on cereal crops production. The long-run relationships reveal that a 1 per cent increase in CO₂ emissions, energy consumption, cultivated area and labour force will increase cereal crops production by 0.20, 0.11, 0.56 and 0.74 per cent, respectively. Moreover, the findings show that there is a bidirectional causality running from CO₂ emissions and cultivated area to cereal crops production. Moreover, there is a unidirectional causality running from energy consumption to cereal crops production.

The present study also fills the literature gap for applying the ARDL procedure to examine this relevant issue for Pakistan.