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Labour relations management, business management, HRM, focusing on the labour relations of Chinese enterprises.

This case is designed for students in schools of business or management, undergraduate MBA or executive MBA classes. Students should already have a basic knowledge about Chinese labour relations, HRM, and organizational development.

In 2004, a deal transformed Anhui Xuanjiu Group from a state-owned enterprise (SOE) to a private company. Li Jian, the Chairman of Xuanjiu Group, focused on creating happiness for employees. Thanks to Li Jian's efforts, Xuanjiu emrged from its crisis which was formed in the planned economy system. After several years of development, the labour relations management of Anhui Xuanjiu Group became a model among private enterprises in China.

Students can gain new insights into labour relations in China. The case provides an example of building friendly labour relations to avoid labour disputes. It provides a set of measures for retaining and motivating workers.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this research is to achieve a novel magnetic nutation drive for an industry robotic wrist reducer.

A novel magnetic nutation drive is proposed, and the structure and principle of the designed magnetic nutation drive are described in this study. Three-dimensional finite element analysis is used to compute the magnetic and torque of the magnetic nutation drive. Furthermore, a prototype of this novel magnetic nutation drive device is developed with 3D printing technology and tested to verify the feasibility of the proposed structure and principle.

The simulation and experimental results indicated that the proposed magnetic nutation drive device could meet the desired specifications, and that this novel magnetic nutation drive device successfully realized the non-contact transmission ratio of 105:1 required for a robotic wrist reducer.

This novel magnetic nutation drive is low-cost and easy to make and use, and which provides the non-contact transmission ratio of 105:1 required for a robotic wrist reducer.

For the first time, this research applies the permanent magnet drive technology to nutation drive and puts forward a new non-contact nutation drive mode. The novel drive mode can solve some problems of the traditional mechanical contact nutation drive, such as vibration, friction loss, mechanical fatigue and necessity of lubrication. The proposed non-contact nutation drive device can achieve a high reduction ratio with compact structure and can be suitable for industry application.

This paper aims to shed some new light on the mixed findings of previous empirical studies on the effect of knowledge search breadth (SB) on firms’ 2019 innovation performance (IP).

The paper adopts a contingent approach that examines the two organizational factors in determining the shape of the SB-IP curve. The empirical study is based on survey data gathered from 414 Chinese firms. In dealing with concerns on simultaneity and reverse causality, perceived time-lag between outcome variable and explanatory variables was introduced.

This study reveals that knowledge novelty and absorptive capacity are two functions underlying the SB-IP relationship. The results also indicate that innovation orientation and firm age moderate the SB-IP relationship in different ways: the more innovation-oriented the firm, the steeper the inverted U-shaped SB-IP relationship will be, while the older the firm, the flatter the SB-IP relationship will be. Interestingly, there is strong evidence for the shape-flip phenomenon of the SB-IP curve: SB has an inverted U-shaped effect on IP when a firm is young; however, SB has a U-shaped effect when the firm is older than 37 years.

By revealing two underlying functions and two moderators of the association between SB and IP at the firm level, this paper contributes to shed some new light to the mixed results reported by previous empirical studies that have examined the effect of knowledge search on firm innovation.

The research explores how these volunteering experiences in Chinese art museums influence students’ future teaching careers and employability.

Our study delves into the educational value of art museum volunteering for higher education students, focussing particularly on those majoring in elementary education. Utilising a triangulation methodology that includes questionnaires, in-depth interviews, and observations, we collected data from 30 art museums across 17 provinces in China. Our research aims to understand how these volunteering experiences influence students’ future teaching careers and employability.

The study examines the types of educational activities offered, the art education experiences gained and the impact on students’ skills. The findings suggest that volunteering enhances students’ practical skills in art education, creativity, critical thinking, cultural understanding and employability, contributing positively to their future educator roles. The findings highlight the importance of partnerships between museums and higher education institutions to improve the quality of art education and the professional preparation of future educators.

We identified some limitations. Because the period of investigation for this study was limited to a recent year, the unique strategies and techniques for conducting educational practices varied from museum to museum, resulting in different barriers and opportunities for improvement for volunteers. This study did not conduct a detailed analysis of gender- and region-specific differences, nor did it include interviews with museum educators and educational program spokespersons or an analysis of their opinions.

Our research fills a notable gap in the existing literature by focussing on the Asian context and underscores the importance of collaborative efforts between museums and higher education institutions.

This paper aims to present the first empirical liquidity measurement of China’s agricultural futures markets and study time-varying liquidity dependence across markets.

Based on both high- and low-frequency trading data of soybean and corn, this paper evaluates short-term liquidity adjustment in Chinese agricultural futures market measured by liquidity benchmark and long-term liquidity development measured by liquidity proxies.

By constructing comparisons, the authors identify the seminal paper of Fong, Holden and Trzcinka (2017) as the best low-frequency liquidity proxy in China’s agricultural futures market and capture similar historical patterns of the liquidity in soybean and corn markets. The authors further employ Copula-generalized autoregressive conditional heteroskedasticity models to investigate liquidity dependence between soybean and corn futures markets. Results show that cross-market liquidity dependence tends to be dynamic and asymmetric (in upper versus lower tails). The liquidity dependence becomes stronger when these markets experience negative shocks than positive shocks, indicating a concern on the contagion effect of liquidity risk under negative financial situations.

The findings of this study provide useful information on the dynamic evolution of liquidity pattern and cross-market dependence of fastest-growing agricultural futures in the largest emerging economy.

This study aims to provide a series of drivers that prompt the blockchain technology (BT) adoption decisions in circular supply chain finance (SCF) and also assesses their degrees of influence and interrelationships, which leads to the construction of a theoretical model depicting the influence mechanism of BT adoption decisions in circular SCF.

This study mainly uses the technology-organization-environment (TOE) framework, which focuses on the aspects based on the nature of innovation, intra-organizational characteristics and extra environmental consideration, to identify the drivers of blockchain adoption in circular SCF context, while the significance and causality of the drivers are explained using interpreting structural models (ISMs) and the decision-making trial and evaluation laboratory (DEMATEL) method.

The findings of this study indicate that government policy and technological comparative advantage are the underlying reasons for BT adoption decisions, management commitment and financial expectations are the critical drivers of BT adoption decisions while other factors are the receivers of the mechanism.

This study provides theoretical references and empirical insights that influence the technology adoption decisions of both BT and circular SCF by practitioners.

The theoretical research contributes significantly to current research and knowledge in both BT and circular SCF fields, especially by extending the existing TOE model by combining relevant enablers from technological, organizational and external environmental aspects with the financial performance objectives of circular SCF services, which refer to the optimization of the financial resources flows and financing efficiency.

The purpose of this paper is to examine the relationship between leader-member exchange (LMX) differentiation and team members’ job performance. The conceptual model developed in this paper also investigates the moderating role of the perception of organisational politics (POP) in affecting the association between LMX differentiation and team members’ job performance.

The authors collected data using a survey from 32 Chinese firms. The questionnaire included scales measuring LMX, POP, job performance, and demographic variables. The final sample consisted of 122 teams with 561 employees. The hypothesised relationships among variables were assessed using hierarchical linear modelling.

The results show that the higher the LMX differentiation, the lower the level of team members’ contextual performance. The authors also found that POP has a significant effect in positively moderating the relationships between LMX differentiation and team members’ contextual and task performances.

The conceptual model developed and verified in this paper provides essential insights for the research on LMX and job performance. Future studies are suggested to collect cross-national data to examine the conclusions of this study.

The association between LMX differentiation and team members’ job performance is moderated by the degree of POP.

The relationship between cooperative R&D network embeddedness and firm innovation resilience is understudied. This paper seeks to answer the questions of whether and how embedding in cooperative R&D networks improve digital firms’ innovation resilience.

Based upon social capital theory, this paper proposes a conceptual model with several hypotheses. The empirical analysis is based on a sample of 2,908 observations from 2005 to 2022. We measure firm innovation resilience by drawing on economic resilience and use LSM tests to assess the effect of cooperative R&D network position on innovation resilience.

The results indicate that cooperative R&D network centrality has a positive impact on firm innovation resilience and that the structural holes of the cooperative R&D network have an inverted U-shaped relationship with firm innovation resilience. Moreover, technological turbulence negatively moderates the relationship between centrality and firm innovation resilience while also steepening the inverted U-shaped relationship between structural holes and firm innovation resilience. Market turbulence positively moderates the relationship between centrality and firm innovation resilience. However, the moderating effect of market turbulence on the inverted U-shaped relationship between structural holes and firm innovation resilience is not significant.

Innovators' knowledge needs, bounded rationality, interests, and even organizational environments change over time, thus prompting them to constantly seek new opportunities to exchange and integrate knowledge, meet new beneficial partners, maintain beneficial cooperation, or terminate unhelpful cooperation. The utility of the network structure has dynamic characteristics. Only by considering the dynamics of the network can research on the mechanism of network structure be more complete, accurate and convincing. Therefore, future research can pay more attention to the relationship between dynamic networks and firm innovation resilience.

Firms should actively embed themselves in the cooperative R&D network and occupy a beneficial network position. By joining the cooperative R&D network, firms can gain resource advantages and enhance their ability to resist external shocks and improve innovation resilience.

This research advances our understanding of the antecedents of firm innovation resilience through the lens of organizational cooperation and uncovers the boundary conditions under which network embeddedness influences innovation resilience, thereby further enriching the theoretical framework of innovation resilience.

The purpose of this study is to employ a user-centered approach to identify subgroups of people with similar profiles based on their perceptions of multiple dimensions of digital products' coolness and to test the differences across subgroups in the intention to use these products.

In Study 1, 1,161 adults rated a virtual digital product on four dimensions of coolness. In Study 2, 660 college students made similar ratings and also reported their intention to use a real digital product. Participants' ratings were analyzed using a user-centered approach, namely latent profile analysis.

Study 1 identified groups of participants who had similar profiles of product ratings on the four dimensions of coolness: niche cool, mass cool, uncertain cool and uncool. Study 2 replicated the findings of Study 1 and in addition showed that these groups varied in their intention to use the product and in whether a specific dimension increased or decreased this intention.

The cross-sectional data preclude inferences about causality, calling for experimental or longitudinal research. Additionally, future research should explore whether the results generalize to other product categories and other age groups.

Managers should design digital products, segment the market and develop flexible strategies based on combined responses to dimensions of coolness perception.

The present research employed a user-centered approach to identify groups of people who share similar patterns of coolness perception. This study provides new insight that was not available in variable-centered research.

The purpose of this study is to optimize the operational efficiency of the entire system by developing a reasonable maintenance strategy for wind turbines that improves component reliability and safety while reducing maintenance costs.

A hybrid incomplete preventive maintenance (PM) model based on boundary intensity process is established to give dynamic PM intervals for wind turbines using an iterative method with reliability as a constraint; the selection method of PM and replacement is given based on the cost-effectiveness ratio, which in turn determines the optimal number of PM for wind turbines.

The reliability is used to obtain the components’ maintenance cycle, and the cost-effectiveness ratio is used to select the number of maintenance times, thus, getting the optimal maintenance strategy. The validity of this paper’s method is verified by arithmetic cases, which provides a new method for formulating a reasonable PM strategy for wind turbines.

The wind turbine preventive maintenance strategy for Boundary intensity process proposed in this paper can scientifically formulate the maintenance strategy, optimize the cost-effectiveness per unit of time of the wind power generation system, and solve the problems of difficulty in formulating a reasonable maintenance strategy for the wind turbine components and high operation and maintenance costs.

In this paper, the authors describe the failure pattern by a Boundary intensity process, establish a hybrid incomplete PM model by introducing a failure intensity increment factor and an age reduction factor and establish a maintenance strategy optimization model with comprehensive consideration of reliability and cost-effectiveness ratio. Finally, the validity of the model in this paper is verified by arithmetic case analysis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0153/