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Matching with the timeline of major events in China, as well as major shifts in China’s human research management, the purpose of this paper is to present the comparisons of achieving styles among Chinese millennial employees, millennial university students and Generation X employees.

Drawing from the achieving styles literature as well as the life course theory, this study first proposes hypotheses on specific differences in nine achieving styles. The authors tested by using data from 889 millennial employees and 364 millennial students from five cities in China.

The results showed that the power direct achieving style stood out for the Chinese millennials, and the competitive direct achieving style ranked higher for Generation X. Moreover, millennial employees had higher scores for all nine achieving styles than millennial students.

This study advises that when motivating Chinese millennial employees, human resource managers can create a competitive environment and provide career planning guidance, and that to better assist millennial university students to socialize, human resource managers can develop matched internship programs.

The paper contributes to the life course literature and the achieving styles literature by comparing the differences among Chinese millennial employees, university students and Generation X.

The topic of employees’ taking charge behaviors has garnered increasing interest in both practical and academic fields. Leaders play a critical role in influencing followers’ taking charge behaviors, yet few studies have explored the predicting role of benevolent leadership. Drawing from proactive motivation literature, this paper aims to investigate a moderated mediation model that examines work engagement as the mediator and role-breadth self-efficacy as the moderator in the relationship between benevolent leadership and taking charge.

Matched data were collected from 297 followers and their group leaders in three subsidiaries of a large telecommunication company in China. The authors used hierarchical linear modeling to test the hypotheses.

The results revealed that benevolent leadership was positively related to followers’ work engagement and consequently their taking charge behaviors. Moreover, such moderated mediation relationship was stronger among followers who had low rather than high levels of role-breadth self-efficacy.

The primary contribution of this study is building a contingent model for the effect of benevolent leadership on follower taking charge and thereby extending the nomological networks of both benevolent leadership and taking charge literatures. Another contribution is that this research provides a new perspective to understand how leadership leads to followers’ taking charge behaviors.

This is the first study to investigate how and when benevolent leadership predicts follower taking charge.

The purpose of this paper is to test a mediated moderation model of the joint influence of abusive supervision, high-performance work systems (HPWSs) and organizational commitment and intention to leave on employee silence.

Data were collected from 456 employees and 78 human resource managers in 78 Chinese organizations.

The results revealed that abusive supervision led to subordinate silence, and HPWSs intensified this effect. In addition, such moderating effect of HPWSs was accounted for by employees’ organizational commitment and intention to leave.

To reduce the occurrence of employee silence, organizations should not only monitor and restrain abusive supervisory actions, but also be aware of subordinates’ work attitudes driven by organizational HPWSs.

This is the first study which demonstrates that HPWSs can foster employees’ organizational commitment and hinder their intention to leave and consequently strengthen the relation between abusive supervision and employee silence.

This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization.

Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies.

Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences.

As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts.

The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees.

This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice.

Based on previous research on millennial employee management in China, this study aims to extend the understanding of the underlining mechanisms and boundary conditions between job characteristics and millennial employee creative performance. Drawing on the self-determination theory and the theory of situation interaction, this study proposes hedonic and eudaimonic well-being as dual mediators, to explain the positive effect of job characteristics on millennial employees’ creative performance. Further, the study proposes that inclusive leadership and achieving styles could separately moderate these two mediation paths.

The data comprises information on 288 millennial employees in China.

The results show that both hedonic and eudaimonic well-being mediate the positive effect of job characteristics on millennial employees’ creative performance. The positive effect of job characteristics on millennial employees’ hedonic well-being is stronger when inclusive leadership is stronger; and the positive effect of millennial employees’ hedonic well-being on creative performance is stronger when direct achieving style and instrumental achieving style are stronger. There was no significant moderating effect of inclusive leadership on the relationship between job characteristics and millennial employees’ eudaimonic well-being, and no significant moderating effect of achieving style on the relationship between millennial employees’ eudaimonic well-being and creative performance. Job characteristics exerted a positive indirect effect on employees’ creative performance through employees’ hedonic well-being and that this cascading effect was moderated by inclusive leadership, direct achieving style and instrumental achieving style.

The findings have important implications for both job design practices and employee performance research. Organizations should pay more attention to improving the creative performance of millennials employees through innovative job design or other organizational level motivational drivers. At the same time, the findings in this study align with the findings in Sheldon et al. (2018) study where extrinsic values rather than toward intrinsic values will bring improved hedonic well-being to the individual in the short term. One further practical implication is that if organizations need a short-term boost of creative performance from their millennial employees, organizations can provide more extrinsic motivators. When organizations want to see more long-term creative performance results, intrinsic motivators should be established.

As part of a series of research on Chinese millennial employee management, this paper extends existing research results. First, the authors verify the main effect relationship between job characteristics and employee creative performance. Second, based on the self-determination theory, this study constructs a dual mediation model and tests the mediating effect of hedonic and eudaimonic well-being between job characteristics and employee creative performance. Third, considering the situational characteristics of the study, the authors propose the boundary conditions of the relationship between job characteristics and creative performance from two levels of individual characteristics and leadership types, namely, inclusive leadership and achieving style.

The purpose of this study is to explore the mechanism of digitalized transformation in organizations’ human resource management (HRM). This study summarizes three basic factors driving the digital transformation process in China: level of perception, level of application and speed of transformation.

This study analyzes the strategic transformation process of HRM in Haier, Hisense and Chambroad to explore the human resource digital transformation mechanism in Chinese enterprises.

The results of this study show that three HR value chain models can be constructed based on how well HRM deals with business: the efficiency-oriented HRM value chain, quasi-business-oriented HRM value chain and business-oriented HRM value chain. The basic factors – level of perception, level of application and speed of transformation – are observed in the entire HRM digital transformation process.

This study provides theoretical and empirical insights for enterprises to explore the value of digital technology in HRM and facilitate the digital transformation of HRM.

The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand.

In this model, the authors have described the demand function which is dependent on price as well time. The products that the deterioration is considered as non-instantaneous have a determinate shelf life, and their demand rate will decrease over time after the beginning of the selling period. This paper depicts that the total profit of non-instantaneous deterioration items using the dynamic pricing strategy is higher than that using fixed pricing strategy.

Finally, to illustrate and validate the model, the authors have used some numerical examples. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

This paper complements the lack of the existing theoretical research of pricing for non-instantaneous deterioration items under an e-commerce environment. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.

Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.

The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.

This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

The purpose of this study is to examine supplier–customer capabilities in solution co-creation and how they are matched from a relational process perspective.

Using a qualitative approach, the authors identified 20 sets of supplier–customer capability matches by conducting in-depth interviews with 34 matched informants and retrieving suppliers’ archival data (project documents and success stories).

The authors identified 20 capability matching sets (21 supplier and 23 customer capabilities) and developed a process-based model of bilateral capabilities that match at the organizational level in solution co-creation. The authors reveal their match forms (complementarity and compatibility) and offer suggestions for future research.

This paper is qualitative; quantitative studies are required for testing and extending the initial conclusions.

This study guides the supplier and customer to cultivate different capabilities at different stages of solution co-creation and alerts them to the importance of capability complementarity and compatibility.

To the best of the authors’ knowledge, this study is the first to introduce the bilateral perspective into dynamic capability research in the context of solution co-creation. The authors discuss the abilities the supplier and customer must possess at different stages and how they match dynamically. The analysis extends the research on solution-specific capabilities and dynamic matching, offering useful implications for solution co-creation in practice.

To improve the speed and accuracy of turbine blade film cooling design process, the most advanced deep learning models were introduced into this study to investigate the most suitable define for prediction work. This paper aims to create a generative surrogate model that can be applied on multi-objective optimization problems.

The latest backbone in the field of computer vision (Swin-Transformer, 2021) was introduced and improved as the surrogate function for prediction of the multi-physics field distribution (film cooling effectiveness, pressure, density and velocity). The basic samples were generated by Latin hypercube sampling method and the numerical method adopt for the calculation was validated experimentally at first. The training and testing samples were calculated at experimental conditions. At last, the surrogate model predicted results were verified by experiment in a linear cascade.

The results indicated that comparing with the Multi-Scale Pix2Pix Model, the Swin-Transformer U-Net model presented higher accuracy and computing speed on the prediction of contour results. The computation time for each step of the Swin-Transformer U-Net model is one-third of the original model, especially in the case of multi-physics field prediction. The correlation index reached more than 99.2% and the first-order error was lower than 0.3% for multi-physics field. The predictions of the data-driven surrogate model are consistent with the predictions of the computational fluid dynamics results, and both are very close to the experimental results. The application of the Swin-Transformer model on enlarging the different structure samples will reduce the cost of numerical calculations as well as experiments.

The number of U-Net layers and sample scales has a proper relationship according to equation (8). Too many layers of U-Net will lead to unnecessary nonlinear variation, whereas too few layers will lead to insufficient feature extraction. In the case of Swin-Transformer U-Net model, incorrect number of U-Net layer will reduce the prediction accuracy. The multi-scale Pix2Pix model owns higher accuracy in predicting a single physical field, but the calculation speed is too slow. The Swin-Transformer model is fast in prediction and training (nearly three times faster than multi Pix2Pix model), but the predicted contours have more noise. The neural network predicted results and numerical calculations are consistent with the experimental distribution.

This paper creates a generative surrogate model that can be applied on multi-objective optimization problems. The generative adversarial networks using new backbone is chosen to adjust the output from single contour to multi-physics fields, which will generate more results simultaneously than traditional surrogate models and reduce the time-cost. And it is more applicable to multi-objective spatial optimization algorithms. The Swin-Transformer surrogate model is three times faster to computation speed than the Multi Pix2Pix model. In the prediction results of multi-physics fields, the prediction results of the Swin-Transformer model are more accurate.