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This study aims to draw on social exchange theory and reciprocity norm to examine the direct effects and mechanisms through which developmental human resources (HR) practices influence employee knowledge hiding behaviors. Additionally, the authors investigate the mediating role of psychological collectivism and the moderating role of affective organizational commitment.

To test the research model, the authors employed a three-stage time-lagged study design and surveyed a sample of 302 employees in China. The authors utilized confirmatory factor analysis, hierarchical regression analysis and the bootstrapping method using statistical product and service solutions (SPSS) and analysis of moment structures (AMOS) to test the hypotheses.

The findings indicate the following: (1) Developmental HR practices are negatively associated with playing dumb and evasive hiding, but positively linked with rationalized hiding; (2) Psychological collectivism serves as a mediating factor in the relationship between developmental HR practices and knowledge hiding; (3) Affective organizational commitment not only moderates the relationship between developmental HR practices and psychological collectivism, but also reinforces the indirect impact of developmental HR practices on knowledge hiding.

This study offers a fresh perspective on previous research regarding the impact of developmental HR practices on employee behavior. Furthermore, it provides practical recommendations for organizations to enhance knowledge management by fostering stronger emotional connections between employees and the organization.

Drawing on cognitive appraisal theory, this study aims to explore the indirect effect of work/family boundary violations on teleworkers’ counterproductive work behavior (CWB). In addition, it examines the moderating role of involuntary teleworking in this context.

Based on the diary study method, this study used 543 questionnaires collected from 122 teleworkers in China.

The findings indicate that working time demands mediate the relationship between work boundary violations and teleworker CWB, and threats to family roles mediate the relationship between family boundary violations and teleworker CWB. In addition, involuntary teleworking positively moderates the relationship between work boundary violations and working time demands, as well as the relationship between family boundary violations and threats to family roles.

The study makes several valuable contributions to the extant literature. First, it enhances research on the antecedents of teleworker CWB. Second, by introducing two mediating variables corresponding to two types of boundary violations, the paper provides new insights and a fresh understanding of the effects of boundary violations in teleworking situations. Third, by considering the moderating role of involuntary teleworking, this research adds to the current knowledge on the impact of discussing boundary violations solely on teleworking or traditional office days.

This study aims to propose an enhanced eco-driving strategy based on reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the connected environment.

In this paper, an enhanced eco-driving control strategy based on an advanced RL algorithm in hybrid action space (EEDC-HRL) is proposed for connected EVs. The EEDC-HRL simultaneously controls longitudinal velocity and lateral lane-changing maneuvers to achieve more potential eco-driving. Moreover, this study redesigns an all-purpose and efficient-training reward function with the aim to achieve energy-saving on the premise of ensuring other driving performance.

To illustrate the performance for the EEDC-HRL, the controlled EV was trained and tested in various traffic flow states. The experimental results demonstrate that the proposed technique can effectively improve energy efficiency, without sacrificing travel efficiency, comfort, safety and lane-changing performance in different traffic flow states.

In light of the aforementioned discussion, the contributions of this paper are two-fold. An enhanced eco-driving strategy based an advanced RL algorithm in hybrid action space (EEDC-HRL) is proposed to jointly optimize longitudinal velocity and lateral lane-changing for connected EVs. A full-scale reward function consisting of multiple sub-rewards with a safety control constraint is redesigned to achieve eco-driving while ensuring other driving performance.

The purpose of this study is to investigate the impact of non-founder CEO succession on firms’ research and development (R&D) decision, and further explore its mechanism and economic consequences.

Using founders’ personal-level information of entrepreneurial firms in the Chinese growth enterprise market from 2009 to 2015, the authors empirically investigate whether firms can be motivated to launch more R&D activities as the result of switching to non-founder CEOs. The author’s further test the impact of non-founder CEOs on R&D output to distinguish their motivation. Moreover, the authors use stepwise regression to explore the mechanism and possible channels.

The authors find that R&D investment significantly increases in firms with non-founder CEOs and the R&D output that comes in the form of patent exhibits an upward trending in numbers, too, ruling out non-founder CEOs’ incentive to chase private benefits. Specifically, the authors find that non-founder CEOs can promote R&D investment through their more professional human capital and better internal control. The authors also show mitigating effects under different circumstances on the relationship between non-founder CEOs and R&D investment.

This study helps the authors to understand the impact of non-founder CEO succession on R&D investment in emerging markets. It also indicates that human capital of non-founder CEOs is critical in driving firms’ innovation, proposing policy suggestions to improve formal intermediary labor market of professional CEOs.

This study provides elaborate theoretical analysis and empirical tests on the mechanism and economic consequences of (non-)founders’ impact on R&D activities.

This study aims to explore the role of trust and effect of age in the process of technology acceptance.

Using data collected from an online survey, this study conducts structural equation modeling to assess the relationship between technology adoption and users’ trust in that technology.

Findings of this study indicate that the formation of trust in technology is based on user experiences (i.e. the perception of usefulness and ease of use), while the perception of trust in technology is similar to human-like trust (i.e. competence and benevolence). This study clarifies that trust has a mediating effect on the relationship between perceived technology ease of use and behavioral intention to use. Trust belief of competence is found to be more effective on adoption behavior than trust belief of benevolence. In exploring the moderating effect of age, results find that easy use of an app is crucial for elderly people to create trust belief in technical competence and develop behavioral control over such technologies. Trust in technology is an essential factor that should be widely applied when analyzing technology adoption behaviors.

This study contributes in three ways. First, it reveals both how trust in technology is formed and the effect of that trust on technology adoption. Second, it extends the discussion of age as a variable in tourism app usage. Third, it shows how the experience of usage influences intentions towards the adoption of tourism apps.

重新认识旅游APP的技术信任：年龄的调节作用

本研究旨在探索技术信任和年龄对技术采用行为的作用。

本研究通过发放网络问卷收集数据，并构建结构方程模型验证并分析技术信任感知对技术采用行为的影响方式。

研究发现，技术信任是基于用户体验而形成的（如，对技术有用性和易用性的感知），用户对技术信任的感知与人际信任相似（如，对其能力信任和善意信任的感知）。研究结果表明，技术信任对感知技术易用性与使用意向之间的关系具有显著的中介作用，在这个过程中，用户更关注技术的能力信任而非其善意信任。此外，年龄对实现技术信任有一定调节作用，如，对于老年人用户而言，易用性更容易建立技术的能力信任，并有效帮助增强其对技术的控制感知。因此，技术信任应作为技术采用行为研究的重要考量因素。

首先，研究揭示了技术信任的实现路径，并解释了用户的技术信任感知对技术采用行为的影响方式。 其次，本文将年龄作为调节变量检验了其对用户技术采用行为的作用。 最后，本文讨论了旅游APP使用体验是如何影响用户采用意向的。

In healthcare, overuse and underuse of medical treatments represent equally dangerous deviations from an optimal use equilibrium and arouse concerns about possible implications for patients’ health, and for the healthcare system in terms of both costs and access to medical care. Medical liability plays a dominant role among the elements that can affect these deviations. Therefore, a remarkable economic literature studies how medical decisions are influenced by different levels of liability. In particular, identifying the relation between liability and treatments selection, as well as disentangling the effect of liability from other incentives that might be in place, is a task for sound empirical research. Several studies have already tried to tackle this issue, but much more needs to be done. In this chapter, we offer an overview of the state of the art in the study of the relation between liability and treatments selection. First, we reason on the theoretical mechanisms underpinning the relationship under investigation by presenting the main empirical predictions of the related literature. Second, we provide a comprehensive summary of the existing empirical evidence and its main weaknesses. Finally, we conclude by offering guidelines for further research.

The purpose of this paper is to develop an employee job performance (EJP) scale questionnaire that encompasses the job time, job quality and job quantity dimensions of employee performance.

In this study, the questionnaire questions were first validated using exploratory factor analysis (EFA) and then confirmatory factor analysis (CFA) along the three performance dimensions. The research samples were auto-parts assembly line workers. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by the composite reliability (CR) and the average variance extracted (AVE).

The questionnaire questions identified three factors of EJP, namely, job time, job quality and job quantity, with 13 items. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by a CR of 0.894 and AVE of 0.739, in addition to χ²=63.340, df=54, p=0.180, goodness of fit index=0.976, adjusted goodness of fit index=0.960, RMSEA=0.021 and root mean square residue=0.014.

The EJP scale questionnaire was examined using only EFA and CFA. These scales are expected to help academics, researchers and practitioners test theories. Because of the features of the sample, the final results should be considered carefully.

Importantly, the factor analysis results suggest that the proposed EJP scale questionnaire can be applied to various industries and settings either as is or with minimal modifications.

The EJP questionnaire is novel and can serve as an excellent EJP tool to measure employees’ behavioral output. The questionnaire can provide empirical data on employee performance output based on the employee’s perspective.

This study aims to investigate the synergistic friction reduction and antiwear effects of lyophilized graphene loading nano-copper (RGO/Cu) as lubricating oil additives, compared with graphene.

The friction performance of freeze-drying graphene (RGO) and RGO/Cu particles was investigated at different addition concentrations and under different conditions.

Graphene plays a synergistic friction reduction and antiwear effect because of its large specific surface area, surface folds and loading capacity on the nanoparticles. The results showed that the average friction coefficients of RGO and RGO/Cu particles were 22.9% and 6.1% lower than that of base oil and RGO oil, respectively. In addition, the widths of wear scars were 62.3% and 55.3% lower than those of RGO/Cu particles, respectively.

The RGO single agent is suitable for medium-load and high-speed conditions, while the RGO/Cu particles can perform better in the conditions of heavy load and high speed.

With the development and application of mobile internet access, social media represented by Weibo, WeChat, etc. has become the main channel for information release and sharing. High-impact users in social networks are key factors stimulating the large-scale propagation of information within social networks. User influence is usually related to the user’s attention rate, activity level, and message content. The paper aims to discuss these issues.

In this paper, the authors focused on Sina Weibo users, centered on users’ behavior and interactive information, and formulated a weighted interactive information network model, then present a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc., the model incorporated the time dimension, through the calculation of users’ attribute influence and interactive influence, to comprehensively measure the user influence of Sina Weibo users.

Compared with other models, the model reflected the dynamics and timeliness of the user influence in a more accurate way. Extensive experiments are conducted on the real-world data set, and the results validate the performance of the approach, and demonstrate the effectiveness of the dynamics and timeliness. Due to the similarity in platform architecture and user behavior between Sina Weibo and Twitter, the calculation model is also applicable to Twitter.

This paper presents a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc.

The purpose of this paper is to empirically analyze the motive of family‐controlled firms to pay cash dividends in China.

Using some econometrical models, the paper designs and conducts a series of empirical research on cash dividends behavior, thus acquiring credible empirical data.

Using a sample of 204 family firms, the motive of family‐controlled firms to pay cash dividends was investigated. Dividend ratio was found to decrease with the separation of ultimate ownership and control right; this may reflect the tunneling motive of the family owners. Different from others, it was also found that high‐growth firms pay more dividends and that the family doing so may want to build a high reputation for the friendly treatment of minority investors for future financing.

The paper discusses investor protection matters in China.

The paper' findings provide policy implications for corporate governance reform and capital market development in China.