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Public health practitioners face citizenship pressure when requested to engage in more extra-roles behaviors during the pandemic. The purpose of the study is to reveal the potential influence mechanism of citizenship pressure on the health and work outcomes of practitioners.

The authors completed a three-wave survey from a public healthcare organization during the coronavirus disease 2019 (COVID-19) delta-variant epidemic.

Results of polynomial regression and response surface showed that increased (versus decreased) and consistently high (versus low) level of citizenship pressure induced citizenship fatigue, which in turn increases negative affect/turnover intention. These negative effects of citizenship pressure are weaker among practitioners with a higher level of future focus.

Providing counseling service to health care practitioners in adopting a future time perspective of citizenship behaviors is important for public health organizations.

This study is among the earliest attempts to reveal the potential dark side of excessive request of conducting organization citizenship behavior which is more commonly seen within public health organizations in the context of pandemic.

Drawing upon social comparison theory, this paper explores the (in)congruence effect of leader and follower overqualification on leader's downward envy, which in turn leads to leader undermining behavior.

Using two-wave, multi-sourced data gathered in China, a polynomial regression was conducted on 301 leader-follower dyads.

Results show asymmetrical incongruence effects, indicating greater leader's downward envy when leader overqualification was lower than follower overqualification. In addition, by increasing downward envy, leader-follower (in)congruence in overqualification has an indirect positive effect on leader undermining behavior.

This study highlights the importance of being conscious of both parties’ overqualification levels to avoid unfavorable outcomes. Meanwhile, training for both parties is crucial, offering a holistic understanding of leader-follower overqualification differences and downward envy, as well as skills to manage “triggers” of leader undermining.

Our study is among the first to examine the effects of overqualification from a leader-follower dyadic congruence perspective. It suggests that leader's downward envy and undermining behaviors toward followers are influenced by both follower and leader overqualification.

Drawing on the conservation of resource theory and emotional contagion perspective, this study aims to propose that customer mistreatment has an indirect effect on subsequent customer mistreatment by triggering high levels of surface acting. In other words, there is a vicious circle formed as a result of customer mistreatment and surface acting. This paper further argues that emotional regulation and conscientiousness are effective in breaking this vicious circle.

An experience sampling study was conducted on 97 frontline service employees in a hotel chain’s restaurants in China, with two daily surveys for ten consecutive days. Multilevel path analyses were used to test the hypotheses.

The results indicate that employees experiencing customer mistreatment in the morning would adopt the surface acting strategy more frequently in the afternoon, which in turn induces more customer mistreatment in the afternoon. Further, this indirect effect can be mitigated by high (versus low) levels of emotional regulation and conscientiousness.

Recently, there has been growing recognition of the vital links between customer mistreatment and negative employee outcomes. However, these studies have failed to consider the carryover effect of customer mistreatment. To the best of the authors’ knowledge, this is the first pioneer study on whether and how customer mistreatment can affect subsequent instances of customer mistreatment, thereby offering a more comprehensive understanding of the consequences of customer mistreatment.

In this paper, a new flexible piezoresistive pressure sensor which uses non-woven fabric as the flexible substrate and sliver nanowires (AgNWs) as the conductive materials was reported.

The compression test of the pressure sensors was carried out at different compression frequencies and found that the sensors had more than 5,000 times reusability at high frequency.

When pressure sensors were applied to different parts of the human body, such as fingers, elbows, knees and throat, the sensors respond differently to different degrees of movement.

The proposed pressure sensor has broad application prospects in the human motion detection.

Greenhouse gas (GHG) emission has a detrimental impact on climate change. There is an increasing trend for firms to use disclosure to signal stakeholders about its environmental responsibilities and performance in dealing with climate change. China is one of the countries producing the most carbon emissions. Over the last decade, Chinese state-owned enterprises (SOEs) are becoming important players in international trade. However, the existing literature provides limited evidence on how Chinese SOEs influence GHG disclosure. Through the lens of stakeholder–agency theory, this chapter studies the top 300 listed firms to examine the relationship between Chinese SOEs and the likelihood of GHG disclosure. The result suggests a negative relationship between Chinese SOEs and the likelihood of GHG disclosure. This could be explained as a consequence of the managers' political self-interests, economic and policy-oriented decision-making process and the power differentials between the government and SOE managers. This research extends the GHG literature to Chinese SOEs context, providing direct evidence on how state ownership impacts on GHG disclosure.

Drawing on the person–supervisor fit theory, this study aims to adopts a dyadic and relational approach to investigate the congruence between the leader’s and the follower’s learning goal orientation (LGO) on their leader–member exchange (LMX) quality and the follower’s innovation.

The participants were 213 frontline employees and their 69 immediate supervisors from a large five-star hotel in China. The authors analyze the multiple-wave data using the cross-level polynomial regression approach.

The results show that when the levels of LGO between the leader and the follower are congruent, follower innovation and LMX are higher; when the levels of LGO between the leader and the follower are incongruent, it hinders LMX but benefits follower’s innovation.

This study implies that personality congruence and incongruence can be equally important in creating positive work outcomes, enriching the theoretical understanding and practical implications for promoting LMX and follower innovation in hospitality industry.

Prior research has identified the importance of employees’ LGO in promoting innovation. However, the fit between employees’ and their leaders’ LGO has not been investigated.

Proactive personality is believed to relate to greater interpersonal helping and lower turnover intentions. Accrued social capital should play a mediating role in this relationship. This paper seeks to address these issues.

The authors used structural equation modeling to analyze the longitudinal data collected from 174 individuals at three points in time. Two dimensions of social capital, i.e. the resource dimension as indicated by information exchange and the relational dimension as indicated by trust relationships were specified.

After controlling for the Big Five personality dispositions, information exchange and then trust relationships sequentially mediated the relationship of proactive personality with helping and turnover intentions.

The research highlights the importance of understanding proactive personality through the social capital perspective. Multiple source data collection method is recommended for further validation of the results.

The research highlights the importance of recruiting individuals high on proactivity, and the importance of further developing and motivating these individuals by cultivating meaningful interactions and nurturing trustful relationships at work. Then, proactive employees would be more likely to engage in helping behavior and to stay with the company.

The paper takes the social capital approach in examining the outcomes of proactive personality. It reveals that resource‐ and relation‐related social capital constructs mediate, in sequence, the relationships of proactive personality with outcomes.

The purpose of this paper is to derive the relationship between color schemes and emotion to serve for designers and consumers.

The three attributes of hue, brightness and saturation of the selected sample color are analyzed, and the Semantic Differential (SD) method is used for the emotional evaluation of color schemes, and data obtained from the emotional evaluation of color schemes is analyzed by using Excel software for mean statistics and SPSS software for factor analysis and cluster analysis.

From the results of the factor analysis, three main factors that affect the feeling of the color scheme can be extracted: “personality”, “gender” and “fashion”. Color emotions can be achieved by changing the level of color saturation and brightness, the cold and warmth of the hue and the way of color combination.

Since it takes a long time to fill out the questionnaire, the number of valid questionnaires collected is a little less and the research data is limited. In addition, some problems are not taken into account such as geography and so on, so the results of the statistical analysis are not very precise and further research is needed.

It can provide information of emotional color schemes for designers and consumers, and based on the SD method, an emotional color matching questionnaire is designed and statistical analysis is conducted to establish the relationship between emotion and color schemes.

Based on the fashion color sample and color harmony theory, the color matching rules and color matching schemes are designed independently.

This paper aims to improve the generalization capability of feature extraction scheme by introducing a micro-cracks detection method based on self-learning features. Micro-cracks detection of multicrystalline solar cell surface based on machine vision is fast, economical, intelligent and easier for on-line detection. However, the generalization capability of feature extraction scheme adopted by existed methods is limited, which has become an obstacle for further improving the detection accuracy.

A novel micro-cracks detection method based on self-learning features and low-rank matrix recovery is proposed in this paper. First, the input image is preprocessed to suppress the noises and remove the busbars and fingers. Second, a self-learning feature extraction scheme in which the feature extraction templates are changed along with the input image is introduced. Third, the low-rank matrix recovery is applied to the decomposition of self-learning feature matrix for obtaining the preliminary detection result. Fourth, the preliminary detection result is optimized by incorporating the superpixel segmentation. Finally, the optimized result is further fine-tuned by morphological postprocessing.

Comprehensive evaluations are implemented on a data set which includes 120 testing images and corresponding human-annotated ground truth. Specifically, subjective evaluations show that the shape of detected micro-cracks is similar to the ground truth, and objective evaluations demonstrate that the proposed method has a high detection accuracy.

First, a self-learning feature extraction method which has good generalization capability is proposed. Second, the low-rank matrix recovery is combined with superpixel segmentation for locating the defective regions.

Service employees engage in Emotional Labor (EL), either through surface acting (SA) or deep acting (DA), when they interact with aggressive customers, so that they are able to abide to the organizational rules. Current studies have shown that employees engage only in SA when they interact with aggressive customers due to a number of reasons. Based on this, the authors undertake an exhaustive review and analysis of existing literature on EL, in order to enhance our understanding of the DA concept. Consequent to this analysis, tha authors interrelate and present the various research findings into a unified comprehensive framework for engaging in DA during a service encounter. Conclusively, the authors discuss the implications of the developed framework for the scholar community and management practice in the hospitality industry, and the authors propose various avenues for further research.