The COVID-19 epidemic is associated with negative mood, which has the potential to be a powerful driver of creativity. However, the influence of negative mood on cognitive creativity and emotional creativity remains elusive. Previous research has indicated that self-focused attention is likely to be related to both negative mood and creativity. The current study introduced two self-focused attention variables to explore how negative mood might contribute to cognitive creativity and emotional creativity. Based on a sample of 351 participants, our study (...) found that negative mood during the outbreak of COVID-19 was associated with cognitive creativity and emotional creativity. Meanwhile, there were significant serial mediation effects of rumination and reflection in the relationship between negative mood and creativity and the psychological impact after exposure to the COVID-19 epidemic was positively correlated with emotional creativity but not with cognitive creativity. These results suggested that individuals, in real life and work, could achieve better creative performance through moderate self-focus. Moreover, individuals with different mood states can be induced to enhance their creativity in times of crisis through intervention training to promote reflection. (shrink)

The cement industry is one of the most energy-intensive industries and among the largest CO2 emitters. Cement industry emissions in China have attracted particular attention, due to the country’s rapid growth. Yet few local Chinese cement companies have corporate social responsibility programs, and even fewer have environmentally related CSR programs. This paper studies the environmentally related CSR practices in mainland China of two companies: Lafarge, a multinational cement company, and Shui On, a Hong Kong-based construction company and developer. We are (...) interested in examining if there are differences in their environmentally related CSR practices, especially those related to emissions, in industrialized countries and Hong Kong on the one hand andin mainland China on the other—given that environmental regulations on the mainland are lax and an awareness of global climate change is largely nonexistent. Our intention is to investigate the influence of the CSR practices of multinational enterprises on the local Chinese cement industry, because they could be regarded as an effective vehicle to improve CSR awareness and practice in the Chinese cement industry and to help alleviate the industry’s impact on global climate change. We found that beneficial knowledge transfer from MNEs to local companies has not gone beyond improving production technology and management methods to the point of influencing CO2 emissions. Lafarge China and Shui On Cement announced a joint venture partnership during the course of our case study, and we examine whether this venture may have an impact on emission-related CSR practices in the Chinese cement industry. (shrink)

The cement industry is one of the most energy-intensive industries and among the largest CO2 emitters. Cement industry emissions in China have attracted particular attention, due to the country’s rapid growth. Yet few local Chinese cement companies have corporate social responsibility (CSR) programs, and even fewer have environmentally related CSR programs. This paper studies the environmentally related CSR practices in mainland China of two companies: Lafarge, a multinational cement company, and Shui On, a Hong Kong-based construction company and developer. We (...) are interested in examining if there are differences in their environmentally related CSR practices, especially those related to emissions, in industrialized countries and Hong Kong on the one hand andin mainland China on the other—given that environmental regulations on the mainland are lax and an awareness of global climate change is largely nonexistent. Our intention is to investigate the influence of the CSR practices of multinational enterprises (MNEs) on the local Chinese cement industry, because they could be regarded as an effective vehicle to improve CSR awareness and practice in the Chinese cement industry and to help alleviate the industry’s impact on global climate change. We found that beneficial knowledge transfer from MNEs to local companies has not gone beyond improving production technology and management methods to the point of influencing CO2 emissions. Lafarge China and Shui On Cement announced a joint venture partnership during the course of our case study, and we examine whether this venture may have an impact on emission-related CSR practices in the Chinese cement industry. (shrink)

The hundreds of millions of floating people in China who leave their hometown for a new city to improve their standard of living constitute an important phenomenon, but as yet the ethical predicaments they face, such as low compensation equity and high social exclusion, have attracted little attention. With a national sample of 125,626 floating people in China, this study investigated how and when compensation equity influences prosocial behavior through the lens of justice theory. This study found that floating people’s (...) compensation equity positively influences prosocial behavior, and this relationship is mediated by subjective well-being. This study also supported that multilevel social exclusion, including the perception of social exclusion and provincial social exclusion strength, positively moderates the relationship between compensation equity and SWB. Moreover, the perception of social exclusion and provincial social exclusion strength moderate the mediating effect of SWB between compensation equity and prosocial behavior. Theoretical contributions and managerial implications are further discussed. (shrink)

In the field of natural language processing, the task of sensitive information detection refers to the procedure of identifying sensitive words for given documents. The majority of existing detection methods are based on the sensitive-word tree, which is usually constructed via the common prefixes of different sensitive words from the given corpus. Yet, these traditional methods suffer from a couple of drawbacks, such as poor generalization and low efficiency. For improvement purposes, this paper proposes a novel self-attention-based detection algorithm using (...) the implementation of graph convolutional network. The main contribution is twofold. Firstly, we consider a weighted GCN to better encode word pairs from the given documents and corpus. Secondly, a simple, yet effective, attention mechanism is introduced to further integrate the interaction among candidate words and corpus. Experimental results from the benchmarking dataset of THUC news demonstrate a promising detection performance, compared to existing work. (shrink)

Background Performance evaluation is vital for IRB operations. As the number of IRBs and their responsibilities in reviewing and supervising clinical research grow in China, there is a significant need to evaluate their performances. To date, little research has examined IRB performance within China. The aim of this study was to ascertain the perspectives and experiences of IRB employees and researchers to understand the current status of IRBs; compare collected results with those of other countries; and identify shortcomings to improve (...) IRB performance. Methods This study was conducted in China from October 2020 to September 2021, using an online survey with the IRB-researcher assessment tool-Chinese version. Results 757 respondents were included in the analysis and classified into IRB employees, researchers, or those who are both IRB employees and researchers. Overall, the score for an ideal IRB was significantly higher than that of an actual IRB. Compared to the US National Validation study, Chinese participants and American participants both agree and differ in their perspectives on the most and least important ideal items. Conclusion This investigation provides a benchmark of the perceived performance of actual IRBs in China. IRBs in China can be precisely adjusted by targeting identified areas of weakness to improve their performances. (shrink)

While unethical behaviors that are intended to benefit the self are often severely punished, unethical behaviors that are intended to benefit the organization (unethical pro-organizational behaviors, UPBs) are disciplined within organizations at different levels of severity. Building on the sensemaking theoretical framework, we study how employees make sense of what the organization is like through observing what the organization has done (i.e., different levels of punishment imposed for UPBs) and how employees subsequently react to the results of sensemaking (i.e., affective (...) commitment to the organization)—increased or decreased turnover and UPB engagement intention. By conducting a vignette-based experimental study and a time-lagged field study, we find that affective commitment to the organization of observers, especially those with a high moral disengagement propensity, increases at a low-to-moderate level of punishment severity for UPBs, and decreases at a moderate-to-high level of punishment severity for UPBs. Furthermore, the impacted affective commitment to the organization subsequently leads to increase in observers’ UPB engagement (intention) and decrease in observers’ turnover intention. We also highlight implications for theory and practice. (shrink)

The choice of coping style of recruits under psychological stress in the process of military task execution has been an important topic in the promotion of military operations and cohesion of military forces. Taking a positive coping style under psychological stress can help recruits overcome the negative effects of stress and improve military morale and group combat effectiveness. Although soldiers' psychological stress in the process of military mission execution having an impact on coping style has been studied by a large (...) body of literature, very little literature has focused on the mechanism of self-efficacy and social support between recruits' psychological stress and coping style from the person-environment fit perspective. Therefore, this study was conducted to analyze the impact of recruits' psychological stress on coping style through a chain mediation model and to discuss the role of self-efficacy and social support in this relationship. Two waves of survey data were utilized to test the research hypotheses on a sample of 1028 Chinese recruits performing military tasks. The results indicated that recruits' psychological stress negatively impacted positive coping styles and positively correlated with negative ones. In addition, self-efficacy and social support mediated the relationship between psychological stress and positive coping style, and self-efficacy mediated the relationship between psychological stress and negative coping style. More importantly, self-efficacy and social support play the chain mediating effect between psychological stress and positive coping style. (shrink)

Online education has advantages during COVID-19, but it also has problems related to hardware support and user experience. Focusing on teaching quality by discipline is an effective way to improve teaching quality in universities. To investigate the online education experience from the perspective of different academic disciplines, we evaluated 251,929 student questionnaires and 13,695 teacher questionnaires from 334 universities in China. The main finding was a difference in teaching preparation, experience, feedback, and improvement processes by disciplines. Teachers and students had (...) obvious disciplinary differences in preparation, school support, and teaching constraints. However, disciplinary differences were minor for pedagogical issues such as participation, assignments, and grading, as well as for evaluation of platform technical support and views on the continuation of online learning. The research results analyzed the teaching psychology of teachers and students in different disciplines during the pandemic. Therefore, it explained the impact and role of discipline differences on students’ learning psychology during COVID-19. This research will benefit educators, researchers, and policy makers to help them with the improvement of online education. (shrink)

本书按年代先后,以柏拉图、霍布斯、孟德斯鸠、卢梭、伯林、马克思等历史上具代表性的哲学家、思想家的政治伦理思想为源流展开分析,论述了从“个体伦理政治”思想向“制度伦理政治”思想发展的演变过程,从而就国家 政治制度的发展方向问题提出较有见地的建议。.

Computational social science, as an emerging interdisciplinary discipline, is a field ushered in by long-term development of traditional social science. It is committed to supplying data thinking, resources, and analytics to study human social behavior and social operation laws to accurately grasp and judge the developing path of the discipline, which is of great significance to promote the innovation and development of social sciences. This study is to conduct a systematic quantitative analysis from a bibliometric perspective, aiming to provide a (...) reference for scholars to explore the paths and changing rules in the field. We use the relevant literature in Web of Science as the dataset. After eliminating journal calls and irrelevant literature, R language and SciMAT tools are used to visualize and analyze the number of articles, keyword clustering, keyword cooccurrence network, and theme evolution, so as to summarize and sort out the paths of computational social science research. The study found that the annual volume of publications has been gradually increasing and will probably remain active in the next few years with high productivity. Subject themes in different periods are diversified, and the evolutionary relationship is found complex as well. Besides, as a cross discipline, scientific knowledge from different fields cross collides and couples with each other in the big data environment, changing the traditional concept of computational social science and forming a new development path. Recently, the emergence of “big data+” has promoted the rise of new subject areas, making the development of new disciplines a reality. (shrink)

Employee innovation is the cornerstone of the organization, and the motivation for employee innovative behavior largely depends on the leadership style of the leader. With the economic development of society, the traditional authoritative style of leadership can no longer adapt to the psychological characteristics of employees, who use new-era work concepts, techniques, and social rules (hereafter, new generation workers). Inclusive leadership is based on the concept of “fully inclusive and equitable” in traditional Chinese culture, and it can adapt to the (...) independent needs of new generation employees. At present, the research on the relationship between the traditional leadership style and employee innovative behavior is relatively extensive, but there is little research on the relationship between inclusive leadership style and employee innovative behavior, and this needs further exploration. This paper takes new generation employees as the sample and uses psychological capital as an intermediary variable to explore the influence of inclusive leadership style on the innovative behaviors of new generation employees. We found that inclusive leadership is significantly and positively related to new generation employees’ innovative behaviors. Theoretical and practical implications are discussed. (shrink)

This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human (...) resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems. (shrink)

This longitudinal study investigated how different mediums of word explanation affected the use of English vocabulary strategies among Chinese Grade-7 students. 170 students were tested on their English receptive vocabulary size and vocabulary strategy application before and after an 8.33-month intervention. Students were divided into three experimental groups and one control group. The three experimental groups were provided with learning materials that explained the target vocabulary in three mediums respectively: English-only, English-and-Chinese, and Chinese-only. Results showed that, after the intervention, receptive (...) vocabulary size did not have any direct significant impact on vocabulary strategy development, whereas mediums of word explanation materials impacted students' application of vocabulary learning strategies in different ways. Our findings showed that the English-only medium significantly enhanced students' use of metacognition, cognition, and memorization strategies, but decreased social strategy development. Chinese-only medium significantly facilitated cognition and memorization strategy development. Implications for L2 vocabulary education are discussed. (shrink)

This paper addresses the question how to analyze multimodal public discourse in such a way that the resulting reconstruction of the rhetor’s accountability either obliges the rhetor to acknowledge the argumentative reconstruction as valid or to refute its validity in a meta-discussion. This is a challenge for discourse theory as well as for argument theory because multimodal discourse seems far removed from the ‘standard’ propositional format of an argument. We argue that multimodal discourse should be analyzed as a coherent and (...) relevant discourse, assuming the possibility of instant interactions between all modes. We introduce a method that allows us to account for an argumentative reconstruction in a systematic way. We illustrate our method by analyzing the ABC news item titled Hu Jintao Visit: Economics and Panda Bears of January 20, 2011, holding ABC news as a rhetor accountable for several far reaching standpoints that are implied in the multimodal format. (shrink)

Science motivational beliefs are crucial for STEM (science, technology, engineering, and math) performance and persistence, but these beliefs typically decline during high school. We expanded the literature on adolescents’ science motivational beliefs by examining: 1) changes in motivational beliefs in three specific science subjects, 2) how gender, immigrant generation status, and perceived support from key social agents predicted differences in adolescents’ science motivational beliefs, and 3) these processes among Latino/as in the United States, whose underrepresentation in STEM is understudied. We (...) used hierarchical linear modeling to estimate the changes in 104 (40% female) Latino/a high school students’ physics, chemistry, and biology motivational beliefs from 9th to 11th grade. Subject-specific ability self-concept, interest, and utility were regressed on gender, immigrant generation status, and perceived science support while controlling for family income, parent education, and adolescents’ school. Adolescents’ utility declined from 9th to 11th grade whereas their interest remained stable for all three science subjects. Adolescents’ ability self-concept increased for biology, decreased for physics, but remained stable for chemistry. Gender differences in adolescents’ motivational beliefs at 9th grade only emerged for physics utility as well as physics and chemistry interest; yet, there were no gender differences in how adolescents’ science motivational beliefs changed over time. Contrary to expectations, immigrant generation status was not significantly associated with adolescents’ science motivational beliefs at 9th grade or in terms of how they changed over time. Adolescents who perceived higher science support generally had higher motivational beliefs in 9th grade, but did not differ on their rate of change. Our findings highlight the need to examine specific science subjects, and that typical gender differences in adolescents’ motivational beliefs discussed in the literature may not generalize to all racial and ethnic groups. (shrink)

Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can be handled (...) more or less independently by technical experts who specialize in XAI methods. Drawing on resources from feminist epistemology, we show why technical XAI is mistaken. Specifically, we demonstrate that the proper detection of algorithmic bias requires relevant interpretive resources, which can only be made available, in practice, by actively involving a diverse group of stakeholders. Finally, we suggest how feminist theories can help shape integrated XAI: an inclusive social-epistemic process that facilitates the amelioration of algorithmic bias. (shrink)

Chengbing WangShanxi University, Taiyuan, ChinaMichael A. PetersBeijing Normal University, Beijing, ChinaContemporary Chinese Marxism is not only an important theory in the humanities and social sc...

The European Union Commission’s whitepaper on Artificial Intelligence proposes shaping the emerging AI market so that it better reflects common European values. It is a master plan that builds upon the EU AI High-Level Expert Group guidelines. This article reviews the masterplan, from a culture cycle perspective, to reflect on its potential clashes with current societal, technical, and methodological constraints. We identify two main obstacles in the implementation of this plan: the lack of a coherent EU vision to drive future (...) decision-making processes at state and local levels and the lack of methods to support a sustainable diffusion of AI in our society. The lack of a coherent vision stems from not considering societal differences across the EU member states. We suggest that these differences may lead to a fractured market and an AI crisis in which different members of the EU will adopt nation-centric strategies to exploit AI, thus preventing the development of a frictionless market as envisaged by the EU. Moreover, the Commission aims at changing the AI development culture proposing a human-centred and safety-first perspective that is not supported by methodological advancements, thus taking the risks of unforeseen social and societal impacts of AI. We discuss potential societal, technical, and methodological gaps that should be filled to avoid the risks of developing AI systems at the expense of society. Our analysis results in the recommendation that the EU regulators and policymakers consider how to complement the EC programme with rules and compensatory mechanisms to avoid market fragmentation due to local and global ambitions. Moreover, regulators should go beyond the human-centred approach establishing a research agenda seeking answers to the technical and methodological open questions regarding the development and assessment of human-AI co-action aiming for a sustainable AI diffusion in the society. (shrink)

Design ethics has been offered as a course in undergraduate design programs in Taiwan for over a decade, but research on teaching design ethics and the results of teaching these courses is scant. We conducted two tests to examine the effect of an ethics course, and the differences among the effects of design department, gender, and study year on student opinions regarding ethical design standards at the National Yunlin University of Science and Technology in Taiwan. The participants comprised 934 undergraduates (...) from the five design departments at YunTech’s College of Design from Years 1–4. The results confirmed the effect of an ethics course on student EDS opinions. In addition, we observed significant variations among students according to design departments, suggesting that the characteristics of the design departments also affected students’ EDS opinions. The results indicated that gender did not significantly affect design students’ EDS opinions; however, students in their early years of study produced higher scores than those in their advanced years of study did, based on the six EDS opinions. The implications of these results for teaching design ethics and future research are discussed in this paper. (shrink)

Many industrial processes are operated in multiple modes due to different manufacturing strategies. Multimodality of process data is often accompanied with nonlinear and non-Gaussian characteristics, which makes data-driven monitoring more complicated. In this paper, statistics pattern analysis is introduced to extract low- and high-order statistics from raw process data. Support vector data description, which can deal with nonlinear and non-Gaussian problems, is applied to monitor multimode process in this paper. To improve detection performance of SVDD for training multimode data with (...) outliers, modified local reachability density ratio is proposed as a weight factor to be embedded in the weighted-SVDD model, in which the local neighbors in terms of both space and time are considered. Finally, the effectiveness and superiority of our proposed method are demonstrated by the Tennessee-Eastman process and wastewater treatment process. (shrink)

This study explored the relationship between social support and job satisfaction in kindergarten teachers, and the mediating role of coping styles in this relationship. A sample of 617 kindergarten teachers from kindergartens in mainland China completed questionnaires measuring social support, job satisfaction, and coping style. The results showed that social support was positively related to job satisfaction and positive coping style was positively associated with social support and job satisfaction. Furthermore, the results revealed that positive coping style, but not negative (...) coping style, had a mediating effect on the relationship between kindergarten teachers’ social support and job satisfaction. This study provides initial evidence that coping style mediates the link between social support and job satisfaction in kindergarten teachers, and suggests that increasing social support and encouraging positive coping style could improve kindergarten teachers’ job satisfaction. (shrink)

The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system -based data compression, transmission, and rendering for rich Internet applications in complicated visualization systems. In this article, a WebGIS-based technical solution for the efficient transmission and visualization of meteorological big data is proposed. Based on open-source technology such as HTML5 and Mapbox GL, the proposed scheme considers distributed data compression and transmission on (...) the server side as well as distributed requests and page rendering on the browser side. A high-low 8-bit compression method is developed for compressing a 100 megabyte file into a megabyte-scale file, with a compression ratio of approximately 90%, and the recovered data are accurate to two decimal places. Another part of the scheme combines pyramid tile cutting, concurrent domain name request processing, and texture rendering. Experimental results indicate that with this scheme, grid files of up to 100 MB can be transferred and displayed in milliseconds, and multiterminal service applications can be supported by building a grid data visualization mode for big data and technology centers, which may serve as a reference for other industries. (shrink)

Early childhood development intervention has gained considerable achievements in eliminating intergenerational transmission of poverty in rural areas. Paying further attention to rural children’s community inclusion can also promote the sustainable development of the village. However, there is a lack of systematic theoretical constructs on the village inclusion of rural children. In this study, an attempt was made to explore the problem mechanism and solution strategy of community inclusion of rural children using a grounded theory approach of in-depth interviews. Seventeen parents (...) of children in a national-level poverty-stricken county in Inner Mongolia of China were investigated, adopting the strategy of intensity sampling. The results revealed that the content of rural children’s activities demonstrates enhanced participation in the virtual environment and weakened participation in the real community environment. That is, the activities are characterized by more virtualization and individualization. Rural parents and community peers are two major channels for children’s community inclusion, while both the community peer environment and parental community participation show a weakening trend. This may be an important reason for the virtualization and individualization of the children’s psychological development environment. Developmental intervention programs for rural children in poverty-stricken areas should focus on the reconstruction of children’s community peer environment, encourage the community participation of parents, and fully mobilize local-based educational resources. (shrink)

This paper mainly studies the communication performance of visible light communication link in fire smoke environment. Compared with the previous studies, this study no longer only considers a single wavelength and considers the influence of smoke and background light noise. Firstly, the variation of background light noise caused by sunlight during a day was analyzed, then signal-to-noise ratio and bit error rate of the visible light communication link in fire smoke environment with different visibility were calculated, and finally, the variation (...) of received power with the angle β between the LED optical axis and the communication link was analyzed. The results show that, during a day from 07:00 to 18:30, background light noise first increases and then decreases, BER changes in the same trend and reaches the maximum at about 13:00, while SNR changes in the opposite trend and reaches the minimum at about 13:00. When visibility is 100 m, the maximum difference of SNR between 7:00 and 13:00 is about 19 dB, and the maximum difference of BER is about 5.3E-10. At 7:00, the maximum difference of SNR is about 13 dB between the visibility of 1 m and the visibility of 100 m, and the maximum difference of BER is about 1.44E − 11, and received power decreases with the increase of β. In addition, SNR increases with visibility of fire smoke environment, and BER changes in the opposite trend. Lastly, in order to enhance the performance of visible light communication in fire smoke environment, this paper gives the transmitting power scheme. (shrink)

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis -BCC model and (...) Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism. (shrink)

Ancient Chinese philosophical conceptions of intelligence differ markedly from those in the ancient Western tradition, and also from contemporary Western conceptions. Understanding these ancient Chinese conceptions of intelligence may help us better understand how a very important culture—Chinese culture—influences people's thinking and behavior, and may also help us broaden, deepen, as well as re-examine our own conceptions of intelligence. This article reviews two ancient Chinese conceptions of intelligence–the Confucian and Taoist– and discusses their ramifications for current thinking about intelligence and (...) its role in the world. 2012 APA, all rights reserved). (shrink)

This study recruited English monolinguals, Mandarin monolinguals, and Mandarin–English bilinguals to examine whether native English and native Mandarin speakers think about time differently and whether the acquisition of L2 English could reshape native Mandarin speakers’ mental representations of temporal sequence. Across two experiments, we used the temporal congruency categorization paradigm which involved two-alternative forced-choice reaction time tasks to contrast experimental conditions that were assumed to be either compatible or incompatible with the internal spatiotemporal associations. Results add to previous studies by (...) confirming that native English and native Mandarin speakers do think about time differently, and the significant crosslinguistic discrepancy primarily lies in the vertical representations of time flow. However, current findings also clarify the existing literature, demonstrating that the acquisition of L2 English does not appear to affect native Mandarin speakers’ temporal cognition. ME bilinguals, irrespective of whether they attained elementary or advanced level of English proficiency, exhibited temporal thinking patterns commensurate with those of Mandarin monolinguals. Some theoretical implications regarding the effect of bilingualism on cognition in general can be drawn from the present study, a crucial one being that it provides evidence against the view that L2 acquisition can reshape habitual modes of thinking established by L1. (shrink)

This study statistically analyzed survey data to examine the relationship between fulfillment of psychological needs of 223 Chinese sojourners in the United States and their online self-presentation strategies on Chinese and American social media. The results showed that the combined use of proactive and defensive self-presentation strategies on Chinese social media instead of American social media were more effective to fulfill the sojourners’ need for autonomy. Moreover, presentation strategies that helped to meet the sojourners’ need for relatedness were significantly different (...) between Chinese and American social media. Specifically, a proactive strategy was more effective to meet sojourners’ need for relatedness on Chinese social media, while a defensive strategy was more effective to fulfill their need for relatedness on American social media. (shrink)

In the Internet era, consumers prefer products with the attributes of social responsibility. Supply chain enterprises strengthen corporate social responsibility management for their own development. To improve CSR throughout the supply chain, it requires coordination and cooperation among the members of the supply chain. In this paper, we consider a three-tier supply chain system consisting of a supplier, a manufacturer, and a retailer and use stochastic differential game to study the CSR coordination of the supply chain. The following indicators are (...) investigated under four decision situations, such as the optimal level of CSR effort for the supply chain members, the optimal value of profit for the supply chain members and the supply chain system, and the expectation and variance of CSR goodwill. Some important results are obtained. Compared with decentralized decision-making, the optimal level of CSR effort increases for the supplier and the manufacturer under local alliance decision-making without cost sharing, whereas the optimal level of CSR effort remains unchanged for the retailer. Compared with local alliance decision-making without cost sharing, the optimal level of CSR effort remains unchanged for the supplier and the manufacturer under local alliance decision-making with cost sharing. When the sum of the marginal profit for the supplier and the manufacturer is greater than half of the marginal profit for the retailer, the optimal level of CSR effort increases for the retailer. Compared with local alliance decision-making with cost sharing, the optimal level of CSR effort increases for the supply chain members under overall alliance decision-making. From decentralized decision-making to local alliance decision-making without cost sharing, to local alliance decision-making with cost sharing, and then to overall alliance decision-making, the optimal value of profit increases for the supply chain members and the supply chain system. Also, the expectation and variance of CSR goodwill increase. (shrink)

The issue of left-behind children has become a key focus in China. In this study, we investigate the mediating role of social support between social anxiety and the subjective quality of life among left-behind children in China. A total of 710 junior high school students were recruited using clustering random sampling from five middle schools in China and investigated using the Social Anxiety Scale for Children, Social Support Rating Scale for Adolescents, and Inventory of Subjective Life Quality. The results show (...) that social anxiety is negatively associated with social support and subjective quality of life, and social support is positively correlated with subjective quality of life. In addition, social support partially mediates the relationship between social anxiety and subjective quality of life. In conclusion, these findings provide new insights to improve the subjective quality of life of left-behind children. The focus should be on alleviating social anxiety and increasing social support in order to help left-behind children improve their subjective quality of life. (shrink)