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The purpose of this paper is to draw on the theory of servant leadership to examine the influence of chief executive officer (CEO) servant leadership on firm performance in the hospitality industry. It examined the mediating role of the service climate and the moderating role of competitive intensity in the relationship between CEO servant leadership and firm performance.

Multiple regression was used to analyze multi-wave, multi-source data from 92 hotels in China. A moderated path analysis was used to test the moderating effects.

CEO servant leadership positively influenced firm performance via the service climate in the hospitality industry. Competitive intensity strengthened the direct effect of the service climate on firm performance, and the indirect effect of CEO servant leadership on firm performance via service climate.

The findings offer managerial insights into CEO succession, service management and human resource management.

This is one of the first studies to investigate how and when CEO servant leadership might shape firm outcomes in the hospitality industry. Theoretically, the findings enrich our understanding of how CEO leadership might shape firm-level outcomes.

On the basis of social identity theory, this paper aims to predict and test the influence of abusive supervision on service employees’ proactive customer service performance (PCSP) in the hotel industry.

Data were collected from 198 service employee-coworker dyads from 12 hotels in China. Previously developed and validated measures of abusive supervision, organizational identification, collectivism and PCSP were used and found to be highly reliable in this study.

Time-lagged data from 12 hotels in China reveal that abusive supervision negatively influences service employees’ PCSP, through organizational identification. In addition, employees’ collectivistic value orientation also strengthens the negative relationship between abusive supervision and organizational identification. These findings have several theoretical and managerial implications, especially for hospitality context.

First, the study suggests that hotels should design supervisors’ selection, training and monitoring to reduce mistreatment, which could be highly costly to employees’ identification and hence proactive behaviors. In addition, hotel supervisors are encouraged to learn to regulate their emotions by developing emotional management skills and interpersonal skills. Second, because collectivists are more likely to be affected by abusive supervisors, organizations should pay special attention to them by allocating more supportive resources, providing psychological comfort and expert counseling. Finally, hotels and managers should seek to meet individuals’ basic needs by fostering positive relationships between supervisors and employees, offering favorable treatment and connecting an organization’s goals with employees’ individual values. By doing so, employees’ organizational identification will be enhanced and hence contribute to PCSP.

First, scarcely any study has focused on negative types of leadership styles and how they affect employees’ PCSP. The authors address the research gap by extending the antecedent scope of PCSP to dark side management and provide empirical evidence about the suppressing effects of abusive supervision on PCSP. Second, the focus on organizational identification provides a new extension for social identity theory in application for incurring employees’ proactive behaviors. Third, this study provides a novel contribution by suggesting that the level of collectivism an employee holds can exacerbate the salience of abusive supervision.

Microfoundations have become an effective approach for capability scholars to explore the heterogeneity of organizational results. Since the early pioneering work of scholars such as Felin and Foss, the microfoundations of strategic organization had not been extensively studied until 2010. The theoretical and empirical literature associated with the microfoundations of dynamic capabilities has developed rapidly. However, the diversity and fragmentation of micro-elements lead to a lack of a relatively consistent understanding of microfoundations, the study purpose is to aggregate the associated scattered terminology into a cohesive discussion.

A systematic literature review was conducted on research papers published between 2000 and 2022 using a hybrid methodology that included bibliometric and content analysis.

The authors suggest that this line of research can be divided into three stages. The study further develop a framework delineating the main components and mechanism involved in the microfoundations of dynamic capabilities, which in turn help us distill research gaps and opportunities for future work.

The authors construct a framework that can serve as a coherent research platform for further knowledge development. In the framework, the authors highlight that the research of group constructs, culture and leadership, data-driven topics are valuable for our understanding of the microfoundations of dynamics capabilities.

One hundred and seventy‐eight heroin addicts in reformatory school were sent to one of two rehabilitation treatments: reform through education and labour and therapeutic community (TC)‐based rehabilitation programme. After six months of being discharged, pre‐ and post‐treatment scores on the Addiction Severity Index were compared, and relapse related factors were investigated. Results indicated improvements in both treatments, with the TC‐based rehabilitation programme showing superior improvement overall. Results support the efficacy of the TC‐based rehabilitation programme proving it to be better than reform through labour and education. It is suggested that psychosocial intervention and relapse prevention should be emphasised in the treatment of drug dependence.

The purpose of this paper is to propose, by drawing on the resource-based view (RBV) and economic regulation theory, that companies with political connections are more likely to enter into industries with high entry barriers, as they are more likely to obtain entry permits from the government and can gain more benefits after entering these industries. Managers’ political connections are a crucial determinant of firm scope. Although the existing research on this topic has shown that firms tend to use political connections to increase their scope, it remains unclear which industries companies with political connections choose to enter. Drawing on the resource-based view and economic regulation theory, we propose that companies with political connections are more likely to enter into industries with high entry barriers, as they are more likely to obtain entry permits from the government and can gain more benefits after entering these industries.

Data on a sample of Chinese listed privately owned enterprises were used and the findings support the main predictions.

The findings support the main predictions.

The research findings of this study contribute to the existing research on political connections and strategic choices.

This study aims to address and observe the positive side of perceived overqualification (POQ) on employee knowledge sharing (KS) and career planning. Role identity theory highlights that an employee’s POQ is related to employee career identity in a positive way.

The hypotheses were supported by a time-lagged examination of 277 supervisor–subordinate dyads working in the corporate sector.

The findings state that a person’s career identity is associated with increased KS and career planning. Furthermore, the effect of overqualification on KS and career planning was predicted to be mediated by career identity. Using an interactionism mechanism, this study indicated that this mediation is moderated by leader humility. The career identities of overqualified employees are elevated when a humble leader supports them. The results suggest that, when handled appropriately, POQ may benefit both employees and organizations.

The implications of these results are examined theoretically and practically. Moreover, the findings of this study will open new avenues for scholars and practitioners in the field of organizational behavior and human resource management.

The study examined the positive side of POQ and its effect on employees’ career outcomes and KS attitudes. This study is among the first empirical studies to examine career outcomes and KS behavior due to POQ.

This paper aim to solve the problem of low assembly success rate for 3c assembly lines designed based on classical control algorithms due to inevitable random disturbances and other factors,by incorporating intelligent algorithms into the assembly line, the assembly process can be extended to uncertain assembly scenarios.

This work proposes a reinforcement learning framework based on digital twins. First, the authors used Unity3D to build a simulation environment that matches the real scene and achieved data synchronization between the real environment and the simulation environment through the robot operating system. Then, the authors trained the reinforcement learning model in the simulation environment. Finally, by creating a digital twin environment, the authors transferred the skill learned from the simulation to the real environment and achieved stable algorithm deployment in real-world scenarios.

In this work, the authors have completed the transfer of skill-learning algorithms from virtual to real environments by establishing a digital twin environment. On the one hand, the experiment proves the progressiveness of the algorithm and the feasibility of the application of digital twins in reinforcement learning transfer. On the other hand, the experimental results also provide reference for the application of digital twins in 3C assembly scenarios.

In this work, the authors designed a new encoder structure in the simulation environment to encode image information, which improved the model’s perception of the environment. At the same time, the authors used the fixed strategy combined with the reinforcement learning strategy to learn skills, which improved the rate of convergence and stability of skills learning. Finally, the authors transferred the learned skills to the physical platform through digital twin technology and realized the safe operation of the flexible printed circuit assembly task.

The purpose of this study is to explore the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports.

Based on the theoretical analysis of the mechanism of the digital economy’s influence on the binary margin of agricultural exports, this study empirically examines the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports based on China’s customs export data from 2011 to 2016.

The relevant findings are threefold. (1) The digital economy significantly improves the binary margin of agricultural exports, and its effect on the intensive margin is stronger than that on the expansive margin. After the expansive margin is subdivided, the effects on the three sub-variables of the expansive margin are in the following order: old products exported to new markets > new products exported to old markets > new products exported to new markets. (2) The heterogeneity analysis reveals that the digital economy has a stronger role in promoting the binary margin of exports for enterprises in the eastern region, high-income countries as the destination of exports and state-owned enterprises. (3) Mechanism analysis shows that the digital economy promotes the binary margin of agricultural exports by reducing trade costs and intensifying market competition.

First, in terms of research perspective, although there are some studies on the impact of the digital economy on export trade in existing literature, the research objects mainly focus on manufacturing enterprises. In fact, agricultural trade is susceptible to natural conditions and seasonal factors, and countries may impose more SPS measures and TBT measures on agricultural trade due to risk considerations. The relationship between the digital economy and agricultural trade also has its own characteristics, but there are few research studies in this area. At present, only Liu and Gao (2022), based on the data of total imports and exports of different agricultural products from 2004 to 2018, have established a vector auto-regressive model to empirically analyse the heterogeneous dynamic impact of the digital economy on the trade volume of agricultural products. In addition, Ma and Guo (2023) conducted an empirical test on the total effect, regional heterogeneity and threshold effect of the digital economy on agricultural export trade based on China’s provincial panel data from 2011 to 2020. Therefore, under the new circumstances of continuous integration of digital technology and agriculture, this study interprets the impact effect and mechanism of the digital economy on the binary margin of agricultural exports from the perspective of the digital economy, providing new research perspectives and approaches for promoting the growth of agricultural exports. Second, in terms of theoretical analysis, the above studies have not been fully analysed in terms of the specific mechanism of the impact of the digital economy on agricultural exports. Based on the positive and negative characteristics of agricultural trade, this study introduces two kinds of roles into the theoretical analysis framework to comprehensively determine the trade impact effect of the digital economy. Third, in terms of research design, this study empirically examines the impact of the digital economy on the binary margin of agricultural products, passing a series of robustness tests and investigating the mediating roles of trade cost and market competition effects, producing an empirical basis for China to leverage the digital economy to promote the binary margin of agricultural exports.

Based on the analysis of the data of the landscape live performances which have already been performed, this paper combs the development process of the live performances and other information of the performance types so that the public can have a clearer and clearer understanding of the live performances. Through time-frequency domain analysis method, the characteristic elements of waveform music are extracted and classified into sub-music segments in different rough emotional domains according to certain classification methods. And the application weights of the feature values of each music feature are defined in different emotion domains, which makes the input of the system more rational. For the output of the light action control data, this article has a certain interpretation of the DMX512 data, making the interpretation of the output more intuitive. The basic characteristics of music include speed, mode, beat, tone, volume, and the pitch, pitch, and length of notes. Therefore, in the future, the method of realizing music visualization in architectural lighting design and the method of realizing interaction with people will have more possibilities.

The purpose of this paper is to investigate the impact of three types of peer monitoring and punishment tools on the performance of a group contract for the control of agricultural non-point source pollution (ANPSP) in China.

Experimental economics.

All the three tools result in efficiency improvement and show little difference in performance. In addition, they break the theoretical Nash equilibrium of the team entry auction and help to better reveal bidders’ private cost information.

To the authors’ knowledge, this study can be the first laboratory experiment study in the area of ANPSP in China and might provide some beneficial lessons for China’s policy-makers.