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The literature on job crafting has paid scant attention to the role of skill variety, one dimension of job characteristics, as a predictor of employee job crafting. By integrating regulatory focus and social exchange perspectives with job crafting literature, the authors investigate how skill variety promotes employee job crafting and the moderating roles of employee's promotion focus and procedural justice climate.

The authors conducted two questionnaire surveys, one with a sample of 205 employees from a variety of organizations in China, and the other one with a sample of 265 employees within 44 work groups at a state-owned enterprise in China, to examine the hypotheses.

Results suggest that a high level of skill variety within a job promotes employee job crafting, that such an effect is stronger when the employee's promotion focus is high rather than low, and that procedural justice climate mitigates the negative influence of a low level of promotion focus.

The authors' findings suggest that both self-regulatory and social exchange mechanisms play a critical role in promoting employee job crafting when individuals are engaged in jobs that entail a high level of skill variety.

This study investigates whether the visualization of agricultural products influences consumers’ purchase intentions in the context of farmer-assisted livestreaming in China. Moreover, it explores the moderating effect of packaging functionality and the mediating effect of consumer trust.

Consumers in China from multiple social media platforms participated in this survey, which yielded 333 valid responses for analysis.

The results revealed a positive relationship between the video presentation about the agricultural production process and consumers’ purchase intention, which is mediated by consumers’ trust. Meanwhile, packaging functionality moderates the relationship between agricultural product visualization and consumers’ purchase intentions as well as the indirect effect of consumers’ trust.

This study extends the application of the stimulus-organism-response (SOR) model to the field of farmer-assisted livestreaming. By building a more detailed model, this study adds to knowledge on the influencing mechanisms of consumers’ purchase intentions in farmer-assisted livestreaming.

Social networking sites (SNSs) are an indispensable part of people’s daily lives. However, scant literature describes how SNSs affect users’ behaviors, especially consumer behavior in emerging markets. This research aims to fill this literature gap.

Two empirical studies were conducted using different methods. Study 1, a survey, provided correlational evidence. Study 2, a lab experiment, further verified the causal relationship.

From Chinese consumer data, SNS consumption exposure enhances luxury brand consumption, mediated by social comparison motivation and moderated by legitimacy perceptions of SNSs as information outlets.

This research bridges SNSs and luxury brand consumption, two islands among different streams of literature. In addition, the paper illuminates the psychological mechanism through which SNSs affect luxury brand consumption and the boundary condition in which this effect diminishes. Practically, this paper is also instructive for SNSs and luxury brands.

The final effectiveness of employee voice largely depends on voice endorsement. This study aims to review, assess, analyze and synthesize the emerging literature on voice endorsement by focusing on its antecedents to promote future research from a comprehensive perspective.

Based on an integrative review of the literature, the authors conducted a content analysis of 53 peer-reviewed journal articles.

Building on the Shannon–Weaver communication model, this paper summarizes that factors influencing voice endorsement can be classified into five prominent aspects: voicer, voiced idea, contextual factors and noises, voice channel (medium) and voice receiver.

This research holds important implications for practice, providing practical guidelines for employees to speak up, for leaders to endorse voice and for organizations to maintain sustainable development by making full use of employee voice.

This review enriches voice endorsement research by introducing a communication framework to synthesize its antecedents and extends the application of the communication model in organization research. Additionally, the authors offer directions for future research.

The purpose of this paper is to find how leader humility affects employees’ constructive voice behavior toward supervisor (speaking up) and coworkers (speaking out) from an identification-based perspective, and seeks to verify the effectiveness of leader humility in the Chinese context.

Data were collected from 325 employees in four Chinese companies with two phases. In the first phase, the participants were asked to report the leader humility, their identification of their relations with the supervisor, and their identification with their organization. In the second phase, they were asked to report their voice behaviors toward their supervisors and coworkers.

The results indicate that leader humility strongly predicts both employees’ voice behaviors of speaking up and speaking out. Results further suggest that relational identification with the supervisor explains why leader humility promotes employees speaking up, while organizational identification explains why leader humility promotes employees speaking up and speaking out.

Managers with humility can successfully shape employees’ relational and organizational identifications, which in turn encourage their voice behaviors toward supervisors and coworkers. Hence, behaving humbly in working places could be an effective way for managers to promote organizational cohesion and creativity.

Although leader humility attracts much attention in both academia and practice, researchers have been primarily focusing on conceptual development and measurement issues, and empirical studies are rare. This is the first research connecting leader humility and employee proactive behaviors. Moreover, it takes an in-depth analysis of the constructive voice behaviors by differentiating them based on their targets.

This paper examined the relationship between firm innovativeness and consumer trust in the sharing economy. In addition, the authors examine the mediating effect of organizational legitimacy and the moderating effect of social worth.

To examine the hypotheses, the authors collected data from 276 users of a sharing platform (Didi) in China to conduct empirical research. The “lavaan” packages in R and SPSS were used to analyze the data and test the proposed hypotheses.

The results reveal that sharing platforms' innovativeness is positively related to consumer trust, and this relationship is mediated by organizational legitimacy. Furthermore, sharing platforms' social worth moderates the relationship between firm innovativeness and organizational legitimacy as well as the indirect effect of firm innovativeness on consumer trust via organizational legitimacy.

This article proposes strategies that enable sharing platforms to increase consumer trust, which can also better promote the development of the sharing economy.

This paper contributes to the literature by focusing on the social attributes of the sharing economy. By building a more detailed model of consumer trust, this paper adds to the knowledge on the influencing mechanism of consumer trust in the sharing economy.

The purpose of this paper is to investigate the effect of conspicuous consumption on brand attitudes in the context of luxury brands market in China.

Two studies are conducted to test three hypotheses. In Study 1, the authors examine the mediating effect of self-brand association (SBA) on the relationship between social class and conspicuous consumption (H1 and H2); In Study 2, the authors examine the effect of observing others’ conspicuous consumption on the observer’s SBA (H3).

Results show that SBA negatively mediates the relationship between social class and conspicuous consumption. Moreover, the negative effect on SBA of observing conspicuous brand usage varies by social class.

The current study focused on the principal linkage between social class, SBA and conspicuousness, and future research could examine the influence of different personality traits on luxury consumption or the existence of sub-types or variants of conspicuous brand users.

The present study has important implications for luxury brand management, and provides rich insights to consumers’ motivations that lead to distinctive luxury consumption behaviors.

In spite of the vehicle, magnetic field interference can be reduced by some measures and techniques in ammunition design and manufacturing stage, the corruption of the vehicle magnetic field can still reach hundreds to thousands of nanoteslas. Besides, the magnetic field that the ferromagnetic materials generate in response to the strong magnetic field in the vicinity of the body. So, a real-time and accurate vehicle magnetic field calibration method is needed to improve the real-time measurement accuracy of the geomagnetic field for spinning projectiles.

Unlike the past two-step calibration method, the algorithm uses a linear model to calibrate the magnetic measurement error in real-time. In the method, the elliptical model of magnetometer measurement is established to convert the coefficients of hard and soft iron errors into the parameters of the elliptic equation. Then, the parameters are estimated by recursive least square estimator in real-time. Finally, the initial conditions for the estimator are established using prior knowledge method or static calibration method.

Studies show the proposed algorithm has remarkable estimation accuracy and robustness and it realizes calibration the magnetic measurement error in real-time. A turntable experiments indicate that the post-calibration residuals approximate the measurement noise of the magnetometer and the roll accuracy is better than 1°. The algorithm is restricted to biaxial magnetometers’ calibration in real-time as expressed in this paper. It, however, should be possible to broaden this method’s applicability to triaxial magnetometers' calibration in real-time.

Unlike the past two-step calibration method, the algorithm uses a linear model to calibrate the magnetic measurement error in real-time and the calculation is small. Besides, it does not take up storage space. The proposed algorithm has remarkable estimation accuracy and robustness and it realizes calibration the magnetic measurement error in real time. The algorithm is restricted to biaxial magnetometers’ calibration in real-time as expressed in this paper. It, however, should be possible to broaden this method’s applicability to triaxial magnetometers’ calibration in real-time.

Vehicle lightweight design has positive implications for reducing energy consumption and abating greenhouse gas emissions. The traditional trailer axle design mainly focuses on the overall performance of the trailer axle. Only when the local performance does not meet the requirements will local performance optimization be done, such as local heat treatment to improve local strength. Such a design results in an uneven distribution of axle performance and excess performance in some local structures. The purpose of this study is to investigate the weight reduction on the premise of ensuring the structural dimensions of the outer surface of the axle remain unchanged and the reliability of the axle.

The axle is parameterized by computer aided design, and the optimized axle finite element model based on computer aided engineering is established and verified by taking the eight dimensions of the axle cavity structure which affect the performance as parameters. A genetic algorithm is used to optimize the axle cavity structure size and axle weight based on multiobjective optimization, and eight optimized size parameters of axle cavity structure are obtained.

The total weight of the optimized axle of TM1314 is reduced by 10.2 kg, and the weight reduction ratio reaches 10.7%. According to the optimized structural size of the axle, the specimen was trial-manufactured, and the bench tests of stiffness, strength and fatigue life were carried out according to the test requirements of the trailer axle standard (JT/T 475-2002). The test results show that the maximum deformation of the specimen is 2.46 mm, the strength safety factor of the specimen body and the steel plate spring seat are 6.71 and 6.86 and bear the alternating load more than 1.05 × 106 times, which meets the standard of the trailer axle and is better than the original design requirements of the trailer axle.

In this study, the multiobjective optimization model of the axle is established, the response surface is constructed by the Latin hypercube sampling design method and the optimal solution set is obtained by the multiobjective genetic algorithm. It has been verified by bench tests that it can achieve a weight reduction of 10.7% under the premise of the same structure and size of the outer surface of the axle. The lightweight method based on multiobjective optimization proposed in this paper can provide a reference for the lightweight design of other key vehicle components.

This study presented the experience of improving the nucleic acid sample collection and transportation service in response to the epidemic. The main purpose is that through intelligent path planning, combined with the time scheduling of sample points, the process of obtaining results to determine the state of COVID-19 patients could be speeding up.

The research optimized the process, including finding an optimal path to traverse all sample points in the hospital area via intelligent path planning method and standardizing the operation through the time sequence scheduling of each round of support staff to collect and send samples in the hospital area, so as to ensure the shortest time in each round. And the study examines these real-time experiments through retrospective examination.

The real-time experiments' data showed that the proposed path planning and scheduling model could provide a reliable reference for improving the efficiency of hospital logistics. Testing is a very important part of diagnosis and prompt results are essential. It shows the possibility of applying the shortest-path algorithms to optimize sample collection processes in the hospital and presents the case study that gives the expected outcomes of such a process.

The value of the study lies in the abstraction of a very practical and urgent problem into a TSP. Combining the ant colony algorithm with the genetic algorithm (ACAGA), the performance of path planning is improved. Under the intervention and guidance, the efficiency of hospital regional logistics planning was greatly improved, which may be of greater benefit to critical patients who must go through fever clinic during the epidemic. By detailing how to more rapidly obtain results through engineering method, the paper contributes ideas and plans for practitioners to use. The experience and lessons learned from Tongji Hospital are expected to provide guidance for supporting service measures in national public health infrastructure management and valuable reference for the development of hospitals in other countries or regions.