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Despite mounting evidence that job insecurity triggers counterproductive work behavior (CWB), the underlying mechanism within the association in hybrid employment remains unknown. This study aims to investigate turnover intention as a mediator in the association between job insecurity and CWB, as well as the differences between permanent and contract workers concerning the effect of job insecurity on employees’ CWB.

Dyadic data were collected from 213 workers (103 contract and 110 permanent workers) and their supervisors, who were employed in one of the three branches of a Chinese state-owned enterprise, respectively, located in Hunan, Shenyang and Xinjiang.

This study found that job insecurity was positively related to CWB, in which turnover intention acted as a partial mediator. Employment status acted as a moderator between job insecurity and CWB.

First, this study extends the theoretical knowledge concerning how job insecurity activates CWB by identifying turnover intention as a mediating mechanism. To the best of the authors’ knowledge, this is the first study to explore the mediating role of turnover intention in terms of job insecurity and CWB. Second, this research expands the understanding of the relation between job insecurity and CWB by investigating this link in the case of contract workers versus permanent workers. Finally, this paper aims to provide an understanding of why contract workers and permanent workers may differ in their reactions to job insecurity.

Based on the stressor-detachment theory, this study aims to investigate the effect of daily customer mistreatment on proactive service performance and ego depletion, mediated by psychological detachment inhibition during the evening. Additionally, this study endeavors to investigate the dual moderating role of prosocial motivation.

A time-lagged, diary daily survey involving 74 participants over 8 consecutive workdays was conducted to test the hypotheses.

The findings indicate that the psychological detachment inhibition during the evening of Day t mediates the impact of Day t’s customer mistreatment on Day t + 1’s proactive service performance and ego depletion. Furthermore, although prosocial motivation was found to intensify the impact of customer mistreatment on psychological detachment inhibition, it alleviated the negative association between psychological detachment inhibition and proactive service performance.

When employees experience customer mistreatment, hospitality managers should not only provide emotional reassurance and resolve any related issues promptly but also encourage employees to engage in activities that distract them and help them to relax and recharge, especially for those who exhibit high prosocial motivation. Moreover, hiring employees with high prosocial motivation is recommended for hospitality organizations to enable them to maintain high service performance.

This study focuses on psychological detachment inhibition during the evening linking within-person design and daily spill-over impact, enriching the mechanisms through which the repercussions of daily customer mistreatment extend beyond the immediate workday and affect individuals’ outcomes. This study also expands upon the existing literature by clarifying the dual aspects – both detrimental and beneficial – of prosocial motivation.

Based on the person-environment (P-E) fit theory, this study aims to explore the effect of customer mistreatment on the reduced service performance of hospitality employees mediated by person-job (P-J) fit perceptions and moderated by job crafting.

The authors tested this study’s hypotheses with a nine-day diary study involving 83 service employees located in Lanzhou, China; a total of 548 daily surveys were completed. The authors used multilevel structural equation modeling to analyze the data.

Employees who experienced daily customer mistreatment suffered diminished P-J fit perceptions, leading to lower levels of service performance the next day. In addition, job crafting significantly buffered the impact of customer mistreatment on P-J fit perceptions and the indirect impact of customer mistreatment on service performance through P-J fit perceptions.

Given the damaging effect that customer mistreatment has on service performance, where employees’ P-J fit perceptions are impaired, hotel managers should implement service competence improvement training programs and managerial preventions to reduce the possibility of customer mistreatment behavior. The moderating role of job crafting behavior suggests that managers should offer supportive practices (i.e. job autonomy) to encourage job crafting behaviors among employees.

This study reveals that individuals’ P-J fit perceptions can explain the damaging impacts of customer mistreatment on service performance, a finding that contributes valuable information to the literature on customer mistreatment and P-E fit. Second, this study also tests the impact of individuals’ job crafting behaviors in terms of mitigating the negative effect of customer mistreatment. Finally, this study’s findings broaden the scope of predictors of P-J fit perceptions by revealing that customer mistreatment can pose a threat to hospitality employees’ P-J fit perceptions.

Drawing on the social information processing theory, this study aims to adopt a moderated mediation model to investigate the mediation role of cognitive crafting and the moderation role of regulatory focus in the relationship between perceived deviance tolerance and employee innovative behavior.

A questionnaire study with 181 employees from a state-owned communications technology company in China was conducted through a two-wave survey, with a one-month lagged design. The model is tested through confirmatory factor analysis, correlation analysis and PROCESS bootstrapping program in SPSS24.0 and AMOS22.0 software.

This study confirms that perceived deviance tolerance is positively related to innovative behavior, while cognitive crafting mediates the relationship between perceived deviance tolerance and innovative behavior. Furthermore, the promotion focus positively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher promotion focus enhances the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior. The prevention focus negatively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher prevention focus weakens the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior.

Organizations need to establish a tolerant and inclusive management system and create a harmonious working atmosphere to provide a platform basis to inspire the innovative behavior of employees. Also, regulatory focus variables are suggested to be considered in organizational human resource management processes (e.g. recruitment and training) to improve organizational person–job fit.

The primary contribution of this study is to confirm that perceived deviance tolerance has a positive impact on innovation behavior and thereby providing a new perspective to understand the impact effect of perceived deviance tolerance. Another contribution the study explores the mechanisms and boundary conditions of perceived deviance tolerance on innovative behavior fills the theoretical gap of perceived deviance tolerance.

This research examined how customer mistreatment activates individual customer-directed counterproductive work behavior (CWBC) by investigating the mediating roles of negative work reflection and negative affect. It also explored whether job autonomy buffers the negative impact of customer mistreatment on CWBC.

The authors tested their predictions using an experience-sample method with a sample of data from 79 service workers across eight days. A multilevel structural equation model was used to test the hypotheses.

The authors found that negative work reflection and negative affect mediated the association between customer mistreatment and CWBC. In addition, job autonomy moderated the indirect impact of daily customer mistreatment on employees' CWBC through negative work reflection and negative affect.

There are some concerns about a common method because all of the study variables were self-reported. Moreover, the study sample consisted of participants recruited exclusively from China, thus limiting this research's generality.

To eliminate the detrimental impact of customer mistreatment, supervisors can strive to improve the autonomy of those who interact with customers frequently to reduce their CWBC.

This study offers an integrative view to explain why service workers engage in CWBC when suffering customer mistreatment by testing the mediating mechanisms of negative reflection and negative affect in the association between daily customer mistreatment and CWBC. Second, the authors have broadened the study of customer mistreatment by introducing job autonomy as a critical condition, eliminating the indirect association between customer mistreatment and CWBC.

The purpose of this paper was to study the relationship between safe storage life and storage mode of hot-rolled sheet (Q235, X70) in humid environment, and a prediction model of safe storage life under different storage modes was established.

The corrosion behavior of hot-rolled sheets under different storage conditions was studied with immersion experiment and morphology observation.

The results show that pitting occurs on the hot-rolled sheets in humid environment, and the corrosion behavior is strongly related with the storage mode. When they are stored separately, the number and depth of pits first increase and then decrease as the Cl⁻ concentration rises, while for the stack storage, pit depth increases with increasing Cl⁻ concentration. The safe storage time of separate storage is longer than that of stack storage. Based on this, a model of chloride ion concentration and storage life was established.

A storage safe life model of hot-rolled sheet in humid environment is proposed.

The purpose of this paper is to compare the two (arguably) most successful innovation‐based Asian economies with Mainland China (later referred to simply as China) in order to examine where China stands in terms of country‐level indicators of proactive innovation.

The paper utilizes a historical case‐based analysis of the education systems of each of the economies of interest to explore the different paths towards higher education for each economy. Data were gathered from existing databases to obtain measures on a number of country‐level indicators of proactive innovation. These indicators measure the innovation, education and economic situations of the three economies.

It was found that the Taiwanese experience towards proactive innovation lies in between China and Japan in terms of progress on the innovation indicators. While the numbers for China's growth in education and areas of science and technology are staggering there is some evidence that the quality of the output needs improvement. Further research on Taiwanese‐based innovation efforts would help in this regard.

Given the push towards indigenous innovation in China today, benchmarking against competitive innovation‐based economies is important. The two economies chosen are not only Asian‐based but also well‐known for high‐quality innovation outcomes. As such, they represent excellent benchmark examples from which China may learn much about developing a proactive national innovation system. China would benefit from using Taiwan as an example of successful innovation at a regional level, given the cultural proximity and trajectory of the innovation‐based indicators.

The after-sale service industry is estimated to contribute over 8 percent to the US GDP. For use in this considerably large service management industry, this article provides verification in the application of decision tree-based machine learning algorithms for optimal maintenance decision-making. The motivation for this research arose from discussions held with a large agricultural equipment manufacturing company interested in increasing the uptime of their expensive machinery and in helping their dealer network.

We propose a general strategy for the design of predictive maintenance systems using machine learning techniques. Then, we present a case study where multiple machine learning algorithms are applied to a particular example situation for an illustration of the proposed strategy and evaluation of its performance.

We found progressive improvements using such machine learning techniques in terms of accuracy in predictions of failure, demonstrating that the proposed strategy is successful.

This approach is scalable to a wide variety of applications to aid in failure prediction. These approaches are generalizable to many systems irrespective of the underlying physics. Even though we focus on decision tree-based machine learning techniques in this study, the general design strategy proposed can be used with all other supervised learning techniques like neural networks, boosting algorithms, support vector machines, and statistical methods.

This approach is applicable to many different types of systems that require maintenance and repair decision-making. A case is provided for a cloud data storage provider. The methods described in the case can be used in any number of systems and industrial applications, making this a very scalable case for industry practitioners. This scalability is possible as the machine learning techniques learn the correspondence between machine conditions and outcome state irrespective of the underlying physics governing the systems.

Sustainable systems and operations require allocating and utilizing resources efficiently and effectively. This approach can help asset managers decide how to sustainably allocate resources by increasing uptime and utilization for expensive equipment.

This is a novel application and case study for decision tree-based machine learning that will aid researchers in developing tools and techniques in this area as well as those working in the artificial intelligence and service management space.

The aim of the article was to focus on various peptides identified in the egg and their probable application as novel ingredients in the development of functional food products. Bioactive peptides of egg origin have attracted increasing interest as one of the prominent candidates for development of various health-promoting functional and designer foods.

Traditionally known as a source of highly valuable proteins in human nutrition, eggs are nowadays also considered as an important source of many bioactive peptides which may find wide application in medicine and food production. These specific protein fragments from egg proteins which, above and beyond their nutritional capabilities, have a positive impact on the body’s function or condition by affecting the digestive, endocrine, cardiovascular, immune and nervous systems, and may ultimately influence health.

Several peptides that are released in vitro or in vivo from egg proteins have been attributed to different health effects, including antihypertensive effects, antimicrobial properties, antioxidant activities, anticancer activity, immunomodulating activity, antiadhesive properties and enhancement of nutrient absorption and/or bioavailability. Extensive research has been undertaken to identify and characterize these biologically active peptides of egg origin which has changed the image of egg as a new source of biologically active ingredients for the development of functional foods with specific benefits for human health and treatment and prevention of diseases.

The paper mainly describes the above-stated properties of bioactive peptides derived from egg proteins.