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This chapter presents a theoretical framework of the industrial relations (IR) system in China’s coal mining industry, combining the roles of management organizations, workers, and trade unions, as well as government agencies. It is one of the first empirical attempts to investigate the relationship between human resource (HR) practices, labor relations, and occupational safety in China’s coal mining industry over the past 60 years, based on the secondary data on coal mining accidents and case studies of two state-owned coal mines in a northern city in Anhui Province, China. The fluctuating occupational safety has been affected by government regulations over different time spans, marked by key political agendas, and by coal mining firms taking concrete measures to respond to these regulations, while exhibiting differing safety performance in state-owned versus township-and-village-owned mines. The field studies compared a safety-oriented to a cost-control-oriented HR and labor relations system, and their influences on safety performance. Coal mining firms and practitioners are advised to shift the traditional personnel management paradigm to a modern HR management system. In addition, although workers are often blamed directly for accidents, it is suggested that workers’ participation and voice in various processes of decision-making and policy implementation, and trade unions’ active involvement in protecting workers from occupational hazards, be encouraged.

While much of the debate and discourse on sustainability and environmentally friendly practices have focused on privately owned and operated organizations, enterprises owned by the state have escaped scrutiny. This study focuses specifically on the oil and gas sector to explore the drivers that propel state-owned oil and gas producers, the national oil companies, to embrace sustainability practices. We find that the proportion of independent directors, international exposure, and international involvement influence sustainability practices.

Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remaining useful life (RUL) of aircraft engines.

First, a referential database is created by applying multiple linear regressions on historical samples. Then similarity matching is conducted between the monitored engine and historical samples. After that, an information fusion grey model is applied to predict the future degradation trajectory of the monitored engine considering the latest trend of monitored sensory data and long-term trends of several similar referential samples, and the real-time RUL is obtained correspondingly.

The results of comparative analysis reveal that the proposed model, which is called similarity-based information fusion grey model (SIFGM), could provide better RUL prediction from the early degradation stage. Furthermore, SIFGM is still able to predict system failures relatively accurately when only partial information of the referential samples is available, making the method a viable choice when the historical whole life cycle data are scarce.

The prediction of SIFGM method is based on a single monotonically changing health indicator (HI) synthesized from monitoring sensory signals, which is assumed to be highly relevant to the degradation processes of the engine.

The SIFGM can be used to predict the degradation trajectories and RULs of those online condition monitoring systems with similar irreversible degradation behaviors before failure occurs, such as aircraft engines and centrifugal pumps.

This paper introduces the similarity information into traditional GM(1,1) model to make it more suitable for long-term RUL prediction and also provide a solution of similarity-based RUL prediction with limited historical whole life cycle data.

Aero-engine components endure combined high and low cycle fatigue (CCF) loading during service, which has attracted more research attention in recent years. This study aims to construct a new framework for the prediction of probabilistic fatigue life and reliability evaluation of an aero-engine turbine shaft under CCF loading if considering the material uncertainty.

To study the CCF failure of the aero-engine turbine shaft, a CCF test is carried out. An improved damage accumulation model is first introduced to predict the CCF life and present high prediction accuracy in the CCF loading situation based on the test. Then, the probabilistic fatigue life of the turbine shaft is predicted based on the finite element analysis and Monte Carlo analysis, where the material uncertainty is taken into account. At last, the reliability evaluation of the turbine shaft is conducted by stress-strength interference models based on an improved damage accumulation model.

The results indicate that predictions agree well with the tested data. The improved damage accumulation model can accurately predict the CCF life because of interaction damage between low cycle fatigue loading and high cycle fatigue loading. As a result, a framework is available for accurate probabilistic fatigue life prediction and reliability evaluation.

The proposed framework and the presented testing in this study show high efficiency on probabilistic CCF fatigue life prediction and can provide technical support for fatigue optimization of the turbine shaft.

The novelty of this work is that CCF loading and material uncertainty are considered in probabilistic fatigue life prediction.

The sudden outbreak of COVID-19 has become a major public health emergency of global concern. Studying the Internet public opinion dissemination mechanism of public health emergencies is of great significance for creating a legalized network environment, and it is also helpful for managers to make scientific decisions when encountering Internet public opinion crisis.

Based on the analysis of the process of spreading the Internet public opinion in major epidemics, a dynamic model of the Internet public opinion spread system was constructed to study the interactive relationship among the public opinion events, network media, netizens and government and the spread of epidemic public opinion. The Shuanghuanglian event in COVID-19 in China was taken as a typical example to make simulation analysis.

Research results show three points: (1) the government credibility plays a decisive role in the spread of Internet public opinion; (2) it is the best time to intervene when Internet public opinion occurred at first time; (3) the management and control of social media are the key to public opinion governance. Besides, specific countermeasures are proposed to assist control of Internet public opinion dissemination.

The epidemic Internet public opinion risk evolution system is a complex nonlinear social system. The system dynamics model is used to carry out research to facilitate the analysis of the Internet public opinion propagation mechanism and explore the interrelationship of various factors.

Previous studies have mainly focused on public opinions regarding genetically modified (GM) technology and GM food. The purpose of this paper is to assess scientists’ attitudes on whether China needs to develop its national agricultural GM technology and their willingness to buy GM food.

A stratified sampling method was used to select and interview 806 scientists from six major agricultural universities and 20 research institutes under two national academies in China in 2013. Based on these data, the authors use both descriptive statistics and multivariate regression analysis to examine scientists’ attitudes toward agricultural GM technology and food, using GM soybean oil as an example of GM foods.

The survey results show that nearly three-quarters of scientists agree that China needs to develop its agricultural GM technology, but their attitudes differ largely. Only 29 percent of scientists are willing to buy GM soybean oil, similar to urban consumers (25 percent) in China. The knowledge of biology is extensive for some scientists but varies significant among scientists and correlates positively with their attitudes toward agricultural GM technology and GM soybean oil. Younger and male scientists with higher professional titles, and those involved in GM research are more in favor of China’s GM technology compared to other scientists. Female scientists, scientists with lower professional titles, those that have never engaged in GM research or are from non-agricultural scientific disciplines are less willing to buy GM soybean oil. Interestingly, their low willingness to buy GM soybean oil is inconsistent with the fact that it is the most common edible oil in China.

This study is the first to examine scientists’ attitudes toward GM technology and food in China. The results of this study contribute to understanding the current debates on GM technology and the relevance of research, based on the willingness to buy GM food, for decision making regarding the commercialization of GM technology.

The purpose of this paper is to systematically review knowledge hiding (KH) behavior in higher education institutions (HEIs). KH is regarded as an unethical and antisocial behavior by many scholars, which should not be prevalent in HEIs.

A two-phase analysis through quantitative scientometric analysis and qualitative systematic literature review method through the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model was applied. In phase 1,174 articles were analyzed using the VOSviewer through co-word and co-citation analyses. In Phase 2, 20 related studies on KH in HEIs were qualitatively analyzed on the fundamental concept of KH. The main themes were determined based on current research findings, through the identification of relevant gaps in the context of higher education.

In Phase 1, co-word and co-citation analyses resulted in six and three clusters, respectively. Subsequently, in Phase 2, five themes were discovered: terminology of KH, scale of KH, cultural and geographical context, KH among academics and students and relevant theories. Further, discussion on the institutional factors of individuals, organizations, technology and culture is presented.

This review lays out a practical guide to facilitate HEIs in managing KH behavior among academics, employees, and students. Strategies can be planned and implemented to foster and inculcate knowledge sharing behavior to circulate knowledge while at the same time diminishing KH behavior in HEIs.

To the best of the author’s knowledge, this study is the first to review KH behavior in the context of HEIs through quantitative and qualitative analysis.

Investments.

The case is suitable for students with diverse backgrounds – from different countries with different cultures, and from different programs (undergraduate or graduate). The case will be used for an all-English course “The research of Chinese stock markets” and has been used for the course “Portfolio theory and management” (junior student level) at Nankai University.

The case introduces Chinese stock markets' uniqueness that there exists a huge number of previously nontradable shares. The release of the shares radically changes the markets' balance and causes the absolute dominance of stock supply over stock demand. Based on the analysis for ICBC, the case demonstrates that the dominance can explain the drop of ICBC's stock price by supply-demand law but fundamental analysis cannot.

The case will help students to understand the uniqueness of Chinese stock markets and the applicability of supply-demand law in the markets and then be able to make investment decisions.

The case can help to educate not only students but also Chinese and foreign investors about the uniqueness of Chinese stock markets and arm the students and investors with the supply-demand methodology to analyse the markets and the reasoning of when and how to invest.

Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes.

The purpose of this paper is to explore the means for enhancing the image and business legitimacy of a socially discredited industry – pawnbroking in pre-1949 China – are explored. Previous studies suggest companies operating within such industries cannot solely rely on hard marketing strategies “to maximize sales and profits as they do with soaps and shoes” (Davidson, 2003, p. 7). Instead, they must find soft strategies for improving company and industry image and legitimacy.

This research relies on qualitative analysis of historical data and documents.

Soft strategies deployed by Chinese pawnbrokers – such as interpretations, moral value advocacies and institutionalized arrangements – contributed substantially to improving pawnbroking’s image and business legitimacy.

Interconnections among ethical values, image, business legitimacy and select marketing strategies are clarified. The efficacy of historically analyzing previously implemented business strategies and their embedding contexts is discussed.

Strategies Chinese pawnbrokers used to mitigate their previously negative image and boost their business legitimacy suggest strategies current socially disapproved companies can use to improve their image and business legitimacy.

A historical analysis of pre-1949 Chinese pawnbroking can suggest soft marketing strategies for overcoming consumers’ negative company and industry impressions.

This study aims to investigate the effect of microalloyed Ca and Ce on microstructure and corrosion behavior of Mg-1.5Zn alloy. Mg-1.5Zn-xCa-xCe alloys were prepared by melting, extrusion and rolling processes.

The effects of adding Ca and Ce elements alone or adding Ca and Ce elements simultaneously on the microstructure and corrosion resistance of Mg-1.5Zn-xCa-xCe (x = 0 or 0.2 Wt.%) alloys were studied by scanning electron microscopy, hydrogen evolution tests and electrochemical experiments.

The addition of Ca and Ce elements alone or the addition of Ca and Ce elements had little impact on the grain size of the rolled and annealed Mg-1.5Zn-xCa-xCe alloy, but had a greater effect on the type and quantity of the second phase.

The order of the corrosion rates for the three alloys was Mg-1.5Zn-0.2Ca < Mg-1.5Zn-0.2Ca-0.2Ce < Mg-1.5Zn-0.2Ce. Mg-1.5Zn-0.2Ca showed the best corrosion resistance, which was related to the second phase and corrosion products.