Guilt appeals have been found effective in stimulating ethical consumption behaviors in western cultures. However, studies performed in Confucian cultural contexts have found contradictory results. We aim to investigate the inconclusive results of research on guilt and ethical consumption and to explain the inconsistencies. We aim to better understand the influence of guilt on ethical consumption in a Chinese Confucian context and to explore the culturally relevant individual-level concept of interdependent self-construal as a moderator. We build our argument on the (...) Confucian ethics of ren-yi-li where the virtue of propriety specifies role-based obligations depending on the proximity of one’s relationship to others and may thus limit ethical behaviors that are directed to those who are relationally distant. We hypothesize a positive relationship between guilt and ethical consumption that is, however, negatively moderated by interdependent self-construal. Put another way, consumers who define themselves strongly through their relationships with close others are less likely to compensate for guilt through ethical consumption. We find the hypothesized model supported in a survey of 314 Chinese consumers. The results suggest that guilt appeals can stimulate ethical consumption in Confucian cultures. However, guilt appeals may not be enough, as the moderating effect suggests that they will be most effective when combined with an ethical consumption initiative that conforms to the Confucian li principle. As this principle implies prioritizing close over distant relationships, it follows that consumers may be more likely to respond to guilt appeals which are linked to ethical consumption initiatives whose beneficiaries they feel connected to. (shrink)

Business students appear predisposed to select disciplines consistent with pre-existing worldviews. These disciplines then further reinforce the worldviews which may not always be adaptive. For example, high levels of Social Dominance Orientation is a trait often found in business school students :691–721, 1991). SDO is a competitive and hierarchical worldview and belief-system that ascribes people to higher or lower social rankings. While research suggests that high levels of SDO may be linked to lower levels of empathy, research has not established (...) the potential relationship between another related adaptive trait in the workplace, compassion. Compassion facilitates workplace performance by lowering levels of litigation, easing stress, and facilitating cooperation. Accordingly, the following study aimed to examine the relationship between SDO and compassion while hypothesizing Economic Systems Justification would mediate this relationship. Because of the importance of compassion in the workplace, the prevalence of SDO in the business academic community and the topicality of ESJ, we conducted our study with business school students. Results confirmed all but one hypothesis. (shrink)

The diversities in the natural, social, and human environment of various regions often lead to the differences in their regional economic development level and industrial structure and layout; moderate regional differences can mobilize economic vitality and improve development efficiency, but excessive differences may lead to social instability or even turbulence. Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. Therefore, this paper's main point is on (...) the analysis of regional economic development differences based on intelligent hybrid algorithms. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of regional economic development differences analysis, elaborated the development background, current status, and future challenges of intelligent hybrid algorithms, introduced the methods and principles of principal component distance weighting algorithm and sequential quadratic programming algorithm, constructed a basic model for regional economic development differences based on intelligent hybrid algorithm, conducted the construction of analysis index system and the hybrid of intelligence algorithm, analyzed the regional economic development differences based on intelligent hybrid algorithm, performed the principal component analysis and time-space change analysis of regional economic development, and finally carried out a simulation experiment and its result analysis. The study results show that the intelligent hybrid algorithm can simulate the intelligent behavior of certain groups in nature when analyzing the differences in regional economic development, so that it has essentially parallelism, high accuracy, and convergence speed. The study results of this paper provide a reference for further researches on the regional economic development differences analysis based on intelligent hybrid algorithm. (shrink)

The belongingness literature has largely examined the antecedents of non-teleworkers’ sense of belongingness, but little attention has been paid to what job-related factors could affect teleworkers’ sense of belongingness. Grounded in organizational support theory, our research focuses on why feedback quality from the direct leader brings sense of belongingness and considers how conscientiousness of teleworkers shapes this effect. Based on data from 329 participants obtained at three different time points from one technology service organization in China, our results indicated that (...) teleworkers’ perceived organizational support serves as an essential mediator of the positive relationship between feedback quality from the direct leader and sense of belongingness. Additionally, the teleworkers’ conscientiousness strengthened the positive direct effect of feedback quality on perceived organizational support and the indirect effect on sense of belongingness. The moderating role of conscientiousness in strengthening the link between feedback quality and perceived organizational support was significant for high levels of conscientiousness and not significant for low levels. Finally, we discussed theoretical and practical implications. (shrink)

The term "political philosophy" refers to the abstract, fundamental, and guiding principles and basic theorems for observing, handling, and dealing with political problems and political struggles. Its meaning is analogous to, say, "military philosophy." Naturally, these theorems are connected to and integrated with specific political viewpoints, just as "military philosophy" is connected to and integrated with specific military strategies and military tactics. This kind of integration does not hinder in any way our study of political philosophies in history, just as (...) it does not hinder our study of any particular "military philosophy.". (shrink)

Included with this letter, please find a list of corrections to the chapter "Lao Zi's Political Philosophy." The Jilin People's Publishing House did not show us the page proofs of the book Lao Zi Tong prior to publication, and as a consequence it contains a large number of typos. In the chapter "Lao Zi's Political Philosophy" alone there are 63 errors and deletions, some of which are serious and may make an accurate English translation difficult. For instance, "si hu" has (...) been typeset as "xiong [vicious beast] hu" throughout. "Si" means rhinoceros, and "si hu" thus means rhinoceros and tiger. Compare the passage "the rhinoceros finds no place to cast its horn; the tiger finds no place to put its claws." We hope that the translation can be checked against the list of corrections. (shrink)

With the development of our society, the diversity of the university environment has been increased. The complexity of the diversified university environment also greatly increases the frequency of campus crisis incidents. Therefore, how to evaluate the emergency response ability of college students and how to take effective response measures have become problems that need urgent attentions. In this study, the evaluation of college students’ emergency response capability based on the questionnaire-TOPSIS innovative algorithm is conducted. Firstly, the questionnaire method is used (...) to analyze the current situation of college students’ ability of emergency response, and then a comprehensive evaluation is made using the TOPSIS innovative algorithm. The results of the ranking of emergency response ability are as follows: excellent > good > undergraduate > graduate > inferior. Secondly, the reasons for the lack of ability of emergency response to students based on the evaluation results are studied intensively. Finally, the development countermeasures for college students’ emergency response ability training are put forward. (shrink)

To make a business case for corporate sustainability, firms must be able to sell their sustainable products. The influence that firm engagement with non-governmental organizations (NGOs) may have on consumer adoption of sustainable products has been neglected in previous research. We address this by embedding corporate sustainability in a cosmopolitan framework that connects firms, consumers, and civil society organizations based on the understanding of responsibility for global humanity that underlies both the sustainability and cosmopolitanism concepts. We hypothesize that firms’ sustainability (...) engagement and their NGO engagement influence consumer adoption of sustainable products. Empirically, we investigate the adoption of sustainable Eco-circle products made from recycled fibers marketed by Li Ning, a China-based global sportswear brand. We apply a stepwise regression approach to test our hypotheses with paper-and-pencil survey data from 217 Chinese consumers. We find adoption to be positively associated with consumers’ sustainability attitude but not with firms’ sustainability engagement. For firm–NGO engagement, these relationships are reversed: Adoption is positively associated with firm–NGO engagement, but not with consumers’ related attitude. Our results present a picture of the Chinese context in which there is a business case for corporate sustainability if firms’ words about sustainable product strategies are supported by signals from civil society about firm deeds. The results imply that in a Chinese context, firms need to be particularly aware of the role of NGOs when hoping to be rewarded for sustainability. (shrink)

To make a business case for corporate sustainability, firms must be able to sell their sustainable products. The influence that firm engagement with non-governmental organizations may have on consumer adoption of sustainable products has been neglected in previous research. We address this by embedding corporate sustainability in a cosmopolitan framework that connects firms, consumers, and civil society organizations based on the understanding of responsibility for global humanity that underlies both the sustainability and cosmopolitanism concepts. We hypothesize that firms’ sustainability engagement (...) and their NGO engagement influence consumer adoption of sustainable products. Empirically, we investigate the adoption of sustainable Eco-circle products made from recycled fibers marketed by Li Ning, a China-based global sportswear brand. We apply a stepwise regression approach to test our hypotheses with paper-and-pencil survey data from 217 Chinese consumers. We find adoption to be positively associated with consumers’ sustainability attitude but not with firms’ sustainability engagement. For firm–NGO engagement, these relationships are reversed: Adoption is positively associated with firm–NGO engagement, but not with consumers’ related attitude. Our results present a picture of the Chinese context in which there is a business case for corporate sustainability if firms’ words about sustainable product strategies are supported by signals from civil society about firm deeds. The results imply that in a Chinese context, firms need to be particularly aware of the role of NGOs when hoping to be rewarded for sustainability. (shrink)

This paper first conducts knowledge point association analysis on a large amount of data collected in practical applications. Data mining includes data collection, data preprocessing, actual mining, and result analysis, establishes knowledge point association rules table, and develops college English diagnostic practice system. Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential (...) influence relationship between different knowledge points that affect the improvement of learning quality. Finally, the data collected when the system is used is preprocessed, and the three dimensions of learning status evaluation, question-type association analysis, and college English score prediction are, respectively, modeled. Finally, after combining these submodels, a relatively complete and reliable diagnosis is obtained by evaluation model and related verification. (shrink)

Internet-enabled technologies have provided a way for people to communicate and collaborate with each other. The collaboration and communication made crowdsourcing an efficient and effective activity. Crowdsourcing is a modern paradigm that employs cheap labors for accomplishing different types of tasks. The task is usually posted online as an open call, and members of the crowd self-select a task to be carried out. Crowdsourcing involves initiators or crowdsourcers, the crowd, crowdsourcing task, the process, and the crowdsourcing platform where requesters offer (...) various tasks and crowd workers complete these tasks. As the crowdsourcing is carried out in the online environment, it gives rise to certain challenges. The major problem is the selection of crowd that is becoming a challenging issue with the growth in crowdsourcing popularity. Crowd selection has been significantly investigated in crowdsourcing processes. Nonetheless, it has observed that the selection is based only on a single feature of the crowd worker which was not sufficient for appropriate crowd selection. For addressing the problem of crowd selection, a novel “ant colony optimization-based crowd selection method” is presented in this paper that selects a crowd worker based on multicriteria features. By utilizing the proposed model, the efficiency and effectiveness of crowdsourcing activity will be increased. (shrink)

Social desirability bias (SDB) is one of the main concerns in self-reported studies that measures explicit attitudes such as ethics research. Although SDB was introduced since the early 1950s, little effort has been made to understand the necessity of including an SDB scale in studies of sensitive topics such as ethics. The purpose of this paper was to (1) identify whether current ethics-related studies considered SDB when conducting their research and (2) ascertain whether SDB was a significant variable in such (...) studies. This investigation takes the form of a systematic review of articles published within the last 20 years in well-known business ethics journals (2000–2019). We found that (a) only 13.67% of ethics research measured SDB; (b) although the majority of the reviewed articles were from the West, researchers in Asia have also made significant progress in recent years in measuring SDB in their studies; (c) SDB was used mainly as a control variable and as such researchers preferred scales with fewer items; and (d) SDB was unavoidable even when using online surveys. Based on our findings, we attempt to provide an overview of SDB in ethics research and encourage ethics researchers who adopt self-reported surveys to include an SDB measurement in their studies to control SDB. (shrink)

This article reviews What it Takes to Talk: Exploring Developmental Cognitive Linguistics 978-3-11-064441-8.

This study aims to better promote the innovation and entrepreneurship of teachers and students in finance and economics colleges and universities in terms of food security. Based on the relevant theories such as food security, innovation and entrepreneurship, the questionnaire was used to investigate the issues related to food security of teachers and students in colleges and universities. Next, the Technique for Order Preference by Similarity to an Ideal Solution analysis method was introduced to evaluate the safety metrics of the (...) response subsystem. Finally, Internet of Things monitoring technology was applied to grain growth and sales. The research results show that college teachers and students have a disjointed cognition of food security as important talents in innovation and entrepreneurship. After the TOPSIS analysis method is used to study, when college teachers and students choose to start a business in food security, they must pay attention to the changes in economic factors. The IoT monitoring technology is applied to grain growth and sales, and the monitoring technology of the IoT could reduce the mortality rate of corn seedlings to 3.59%. The mortality rate of seedlings is much higher than that of farmers relying on their own experience to grow corn. Therefore, this has great reference significance for the innovation and entrepreneurship development of college teachers and students in food security at this stage. (shrink)

Improving the resilience of urban road networks suffering from various disruptions has been a central focus for urban emergence management. However, to date the effective methods which may mitigate the negative impacts caused by the disruptions, such as road accidents and natural disasters, on urban road networks is highly insufficient. This study proposes a novel adaptive signal control strategy based on a doubly dynamic learning framework, which consists of deep reinforcement learning and day-to-day traffic dynamic learning, to improve the network (...) performance by adjusting red/green time split. In this study, red time split is regarded as extra traffic flow to discourage drivers to use affected roads, so as to reduce congestion and improve the resilience when urban road networks are subject to different levels of disruptions. In addition, we utilize the convolution neural network as Q-network to approximate Q values, link flow distribution and link capacity are regarded as the state space, and actions are denoted as red/green time split. A small network is utilized as a numerical example, and a fixed time signal control and other two adaptive signal controls are employed for the comparisons with the proposed one. The results show that the proposed adaptive signal control based on deep reinforcement learning can achieve better resilience in most of the cases, particularly in the scenarios of moderate and severe disruptions. This study may shed light on the advantages of the proposed adaptive signal control dealing with major emergencies compared to others. (shrink)

The effects of psycholinguistic variables on reading development are critical to the evaluation of theories about the reading system. Although we know that the development of reading depends on both individual differences (endogenous) and item-level effects (exogenous), developmental research has focused mostly on average-level performance, ignoring individual differences. We investigated how the development of word recognition in Chinese children in both Chinese and English is affected by (a) item-level, exogenous effects (word frequency, radical consistency, and curricular grade level); (b) subject-level, (...) endogenous individual differences (orthographic awareness and phonological awareness); and (c) their interactive effect. We tested native Chinese (Putonghua)-speaking children (n = 763) in grades 1 to 6 with both Chinese character and English word identification (lexical) decision tasks. Our findings show that (a) there were effects of both word frequency and age of acquisition in both Chinese and English, but these item-level effects generally weakened with increasing age; (b) individual differences in phonological and orthographic awareness each contributed to successful performance; and (c) in Chinese, item-level effects were weaker for more proficient readers. We contend that our findings can be explained by theoretical models that incorporate cumulative learning as the basis for development of item-level effects in the reading system. (shrink)

John Swales’ 1986 article ‘Citation analysis and discourse analysis’ was the first to apply citation analysis to describe in-text citations in the field of discourse analysis. Howard White’s 2004 article ‘Citation analysis and discourse analysis revisited’ was written by an information scientist and primarily focused on citation analysis and discourse analysis. Here, we cast a wider net by conducting a bibliometric analysis of discourse analysis to sketch its scientific landscape between 1978 and 2018. Our findings show that discourse analysis has (...) emerged as a major, and increasingly distinctively sociological, contribution to the analysis of language in social life. It is evident that discourse analysts are increasingly interested in such topics as corpus linguistics, digital conversation analysis, discursive news values approach, membership categorization analysis, multimodal analysis and social media. It is a general trend that the United States is no longer the only dominating publication powerhouse in the field. Countries such as the United Kingdom, Australia and China are wielding a growing share of research output. (shrink)

In a digital era that neglects handwriting, the current study is significant because it examines the mechanisms underlying this process. We recruited 9- to 10-year-old Chinese children, who were at an important period of handwriting development, and adult college students, for both behavioral and electroencephalogram experiments. We designed four learning conditions: handwriting Chinese, viewing Chinese, drawing shapes followed by Chinese recognition, and drawing shapes followed by English recognition. Both behavioral and EEG results showed that HC facilitated visual word recognition compared (...) to VC, and behavioral results showed that HC facilitated visual word recognition compared to drawing shapes. HC and VC resulted in a lateralization of the N170 in adults, but not in children. Taken together, the results of the study suggest benefits of handwriting on the neural processing and behavioral performance in response to Chinese characters. The study results argue for maintaining handwriting practices to promote the perception of visual word forms in the digital age. (shrink)

Photovoice, a community-based participatory research method, employs images and words to convey participants' needs, concerns, and desires. It proves particularly valuable in researching marginalized communities who face elevated health risks, disease transmission, and social and health disparities. This paper seeks to investigate the ethical considerations inherent in photovoice research projects. We conducted an extensive literature review spanning four databases to identify pertinent photovoice studies. Ethical issues from the selected articles were identified, categorized, and summarized. Our analysis of twenty-five photovoice studies (...) uncovered various ethical concerns, which had been grouped into informed consent, participant safety and disclosure, privacy and confidentiality, misrepresentation, power dynamics, and compensation. In essence, our findings underscore the importance of addressing these ethical concerns to uphold the rights and autonomy of participants, even as photovoice research strives for authenticity, inclusivity, and empowerment. (shrink)

In this paper, a fresh shear-displacement model is developed for the plastic deformation of the bulk metallic glasses. The multiscale behavior in the shear banding process and the dynamics transition with the parameters are investigated in analytical form. We present a theoretical support for the transition from unstable states to stable states in the experiment by multiscale analysis and the stability analysis. With the small parameter increasing from negative to positive, the stability of the shear slipping displacement system changes, and (...) there is a limit cycle at the transition stage. Meanwhile, the phase diagram and the power spectrum also suggest that there is dynamics transition with the parameter changing. Moreover, the complexity is analyzed for different disturbance parameters, and it is coincident with the fact that the solution is more irregular for larger disturbance. In addition, we find that the amplitude of solution decreases with the temperature decreasing, which is consistent with the experimental results that the amplitude of the serration is smaller and smaller as the temperature decreases. (shrink)

The feedback concealed information test (fCIT) is a new variant of the CIT that added feedback about participants’ concealing performances in the classical CIT. The advantage of the fCIT is that the resulting feedback related event-related potentials (ERPs) can be used to detect concealed information. However, the detection efficiency of feedback-based ERPs varies across studies. The present experiment examined whether the extent participants believed the feedback influenced their detection efficiency. Specifically, participants did a mock crime and were then tested in (...) a fCIT. Following the fCIT, participants were asked to report how much they believed the feedback was accurate. Results showed that there were no significant correlations between the amplitude of the feedback related negativity (FRN), feedback P300, and participants’ self-report at the group level. However, individual analyses showed that the detection efficiency of both the FRN and feedback P300 were influenced by participants’ belief about the presented feedback. The detection efficiency of the FRN and the feedback P300 was higher among participants who believed the feedback. These findings suggest that the fCIT is dependent to some extent on the participants’ level of belief in the feedback. (shrink)

Previous studies revealed that the susceptibility, contacting preference, and recovery probability markedly alter the epidemic outbreak size and threshold. The recovery probability of an infected node is closely related to its obtained resources. How to allocate limited resources to infected neighbors is extremely important for containing the epidemic spreading on complex networks. In this paper, we proposed an epidemic spreading model on complex networks, in which we assume that the node has heterogeneous susceptibility and contacting preference, and susceptible nodes are (...) willing to share their resources to neighbors. Through a developed heterogeneous mean-field theory and a large number of numerical simulations, we find that the recovered nodes provide resources uniformly to their infected neighbor nodes, and the epidemic spreading can be suppressed optimally on homogeneous and heterogeneous networks. Besides, altering the susceptibility and contacting preference does not qualitatively change the results. The susceptibility of the node decreases, which makes the outbreak threshold of epidemic spreading increase, and the outbreak size decreases. Our theory agrees well with the numerical simulations. (shrink)