Consumers often intend to create a socially responsible identity by consuming ethically. Observers, however, do not limit their inferences to the specific identity consumers intend to project. To illustrate, we examine how observers make inferences about consumers on the basis of their ethical consumption. Across four studies we find that, in addition to being viewed as ethical, consumers are viewed as less masculine and more feminine when they consume ethical products. We also identify two boundary conditions to this effect, including (...) the use of self-benefit/other-benefit advertising appeals and the use of descriptive norms to establish gender appropriate behavior. We finally examine how consumers resolve the conflict of creating ethical and gender-congruent identities. We find that when male consumers are in the presence of observers of the opposite sex, they are more likely to prioritize ethical identity even when it threatens their gender orientation. (shrink)

di yi juan. Wen yi mei xue -- di er juan. Zhongguo gu dian wen yi xue -- di san juan. Bi jiao wen yi xue --di si juan. Wen hua mei xue -- di wu juan. Mei de zhui xun.

Rising negative emotions are like “time bombs” that impede productivity in the workplace. The present investigation provides an insight into the effects of defensive silence and defensive voice on counterproductive work behavior through knowledge hiding in the context of knowledge workers in Chinese academic institutions. Partial least square structural equation modeling was applied to the current samples. The study obtained conjecture the proposed mediating role of knowledge hiding between the negative working attitude and counterproductive work behavior, which is against the (...) organizational norms and performance. The result indicates that the positive relationships exist from defensive silence and defensive voice to counterproductive work behavior, mediated by knowledge hiding. This study links knowledge hiding literature and stimulus-organism-response to better explore the academic behavior in a knowledge setting. (shrink)

This study examines the associations of constructivist beliefs and classroom climate on teachers' self-efficacy in instruction, classroom management, and student engagement among Australian secondary mathematics teachers. To do this, it uses the integrated model of teachers' self-efficacy with the concept of analysis of teaching tasks. The study uses structural equation modeling to analyze data from 495 mathematics teachers in the Teaching and Learning International Survey 2013. The results reveal the integrated model is a valid theoretical framework to explain Australian secondary (...) mathematics teachers' self-efficacy. Teachers' constructivist beliefs and classroom climate are positively and statistically significantly related to teachers' self-efficacy in instruction, classroom management and student engagement. In contrast, constructivist beliefs have no significant correlation with classroom climate. (shrink)

In this essay I propose that what design principles in systems biology and systems neuroscience do is to present abstract characterizations of mechanisms, and thereby facilitate mechanistic explanation. To show this, one design principle in systems neuroscience, i.e., the multilayer perceptron, is examined. However, Braillard (2010) contends that design principles provide a sort of non-mechanistic explanation due to two related reasons: they are very general and describe non-causal dependence relationships. In response to this, I argue that, on the one hand, (...) all mechanisms are more or less general (or abstract), and on the other, many (if not all) design principles are causal systems. (shrink)

Human resource management (HRM) is underpinned by, and contributes to, the business ethics of the organization. Opportunities available to men and women as managers, and the role of managers more broadly, are critical in shaping business ethics in contemporary organizations. Research on women in management therefore provides an important lens through which to understand the institutional and cultural context of HR ethics as part of the business ethics of a country. To date, women in management in China remains an under-charted (...) topic of research in the HRM field. Extant research and recommendations on the improvement of the position of women in management in China focus primarily on women themselves from a traditional, gender norm angle, instead of challenging the political and patriarchal system or any institutionalized discriminatory practice. This is, in part, due to the absence in China of a critical feminism approach or feminist movement, as found in Western societies, and the continuing strong influence of the state and media in portraying women’s (stereotypical) image. There is significant room for research capacity building in scholarship on women in management research, for example, and through cross-fertilization of different disciplines and more rigorous research design and execution. This paper provides a critical analysis of extant literature on women in management and the ideologies underpinning it, and offers some suggestions for future research and conceptualization. (shrink)

本册内容为:“砍爷”的始祖、纵横家的教科书、鬼谷子纵横八术、鬼谷子门徒游说故事等。.

The Iowa Gambling Task (IGT) simulates uncertain gains and losses in real life situations and thus is a good measure of uncertain decision making. The role of working memory (WM) in IGT performance still remains unclear. The present study aimed to examine the effect of WM on IGT performance. Three groups of participants matched on gender ratio were randomly assigned to no WM load, low WM load, and high WM load conditions. Initially the three groups did not show significant difference (...) in WM capacity. They finished a modified version of IGT and then their implicit learning effect and explicit cognition on IGT were assessed. Results indicated a linear increasing trend of IGT performance among high WM load, low WM load and no WM load groups; participants in the no WM load and low WM load groups revealed implicit learning effect, while participants in the high WM load group did not; all participants showed explicit cognition on IGT to the same level. These results suggested that participants in the high WM load group showed good explicit cognition to IGT but showed poor performance. This pattern is similar to frontal patients. Further studies should be conducted to explore this issue. (shrink)

Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on the identification of performed gait. However, the bionic prosthesis needs to know the next movement at the beginning of a new gait, especially in complex operation environments. In this paper, an upcoming locomotion prediction scheme via multilevel classifier fusion was proposed for the complex operation. At first, two motion states, including steady state and transient state, were defined. Steady-state recognition was backtracking of a completed (...) gait, which would be used as prior knowledge of motion prediction. In steady-state recognition, surface electromyographic and inertial sensors were fused to improve recognition accuracy; five typical locomotion modes were recognized by random forest classifier with over 97.8% accuracy. The transient state was defined as an observation period at the initial stage of upcoming movement, in which only the sEMG signal was recorded due to the limitation of sliding window length. LightGBM classifier was validated to outperform other methods in the accuracy and prediction time of transient-state recognition. Finally, a simplified HMM model based on prior knowledge and observation result was constructed to predict upcoming locomotion. The results indicated that the locomotion prediction was over 91% accuracy. The proposed scheme implements the locomotion prediction at the initial stage of each gait and provides critical information for the gait control of lower limb prosthesis. (shrink)

According to the research on the influence of resources on mate selection, the amount of financial resources affects an individual’s choice of "luxuries" and "necessities" among mate selection cues, while the amount of time resources affects cue diversity. However, for a long time, researchers only paid attention to the impact of financial resources and ignored the role of time resources. Therefore, this paper draws lessons from the relevant research on the influence of time on decision-making and proposes to study mate (...) selection from the perspective of decision-making. Additionally, current research concerning the influence of resources on the choice of a spouse focuses more on results and neglects to examine the process. Therefore, based on the relevant theories, this paper makes several theoretical assumptions regarding the influence mechanism of resource availability on mate choice decisions, gender differences and the actor-partner effect. (shrink)

We investigate the role of social-media-triggered public pressure on corporate social responsibility that includes expectations of transparency and accountability on the firm’s part, and participative/evaluative inputs on the public’s part. Using the date when S&P 500 firms established corporate Twitter accounts, we investigate the impact of corporate social media exposure on CSR outcomes. Results from baseline regressions indicate that firms with Twitter accounts significantly outperform industry peers in CSR rating, after controlling for firm and industry characteristics. To test potential reverse (...) causality, we use a dynamic treatment effect model to explore within firm changes of CSR, and find that firms’ CSR rating improves in year one- and year two after establishing a Twitter account, while no difference emerged in similar comparisons with peers prior to the Twitter account establishment. Additionally, Granger causality tests results show that corporate Twitter presence improves CSR performance; it is also shown that CSR outcomes do not motivate corporations to establish a social media presence on Twitter. Finally, firms with more experience on Twitter, and those with more followers, tweets or Twitter accounts are associated with improved CSR outcomes. We draw on two theories and qualitative interviews with senior CSR executives to explain why social media influences CSR firm behaviors. (shrink)

Well-being has become extensively viewed as apprehension for administrations in the last decades and schools have been progressively realized as locations for encouraging well-being which is a considerable development in inquiries on mediations connected to learner well-being. In this way, the function of teachers has got specific consideration regarding students’ well-being, given the merits of teacher-student interactions. High-quality educator-learner relationships offer a support base for long-term learners’ education. Educator interpersonal behavior that makes learners feel supported and cared for is known (...) as emotional support. These behaviors can help learners’ emotional and social needs; meet learners’ families, and being available when learners need additional help. This review attempts to consider the eminence of teacher interpersonal behavior and learner-teacher relations in the classroom and indeed illustrate their relationship and influence on students’ well-being. As a final point, this review can provide suggestions and recommendations for teaching participants in the scholastic context. (shrink)

Probably nothing is more complicated, misunderstood, and thus damaged, in a way of speaking, than the viewpoint of "one divides into two" when criticism is being made of the various fallacies spread by Lin Biao and the "gang of four." Some people hold that Lin and the gang's activities to split the Party and their philosophy of making others suffer were related to this viewpoint and thus conclude that this viewpoint is one-sided. Others are of the opinion that this viewpoint (...) constitutes the philosophical base for the ultra-Left line. Such ideas circulate even among a part of the philosophy researchers. It is necessary to repudiate the gang's distorted and subjective explanation and application of the viewpoint "one divides into two"; so is the exposure of a certain simplistic tendency in our previous propaganda work. However, it is inappropriate to view the distortion and simplification as something inherent in the proposition that "one divides into two." After all, is such a proposition scientific or not? Should it be seen as a "mistake" or a "heresy" that ought to be taken out from Marxism-Leninism and Mao Zedong Thought? This, of course, is an issue of theoretical principle and must be clarified through discussion. (shrink)

The interference of the complex background and less information of the small targets are two major problems in vehicle attribute recognition. In this paper, two cascaded networks of vehicle attribute recognition are established to solve the two problems. For vehicle targets with normal size, the multitask cascaded convolution neural network MC-CNN-NT uses the improved Faster R-CNN as the location subnetwork. The vehicle targets in the complex background are extracted by the location subnetwork to the classification subnetwork CNN for the classification. (...) The implementation of this task decomposition strategy effectively eliminates the interference of the complex background in target detection. For vehicle targets with small size, the multitask cascaded convolution neural network MC-CNN-ST applies the network compression strategy and the multilayer feature fusion strategy to extract the feature maps. These strategies enrich the location information and semantic information of the feature maps. In order to optimize the nonlinear mapping ability and the hard-to-detect samples mining ability of the networks, the activation function and the loss function in the two cascaded networks are improved. The experimental results show that MC-CNN-NT for the normal targets and MC-CNN-ST for the small targets achieve the state-of-the-art performance compared with other attribute recognition networks. (shrink)

AgeTech involves the use of emerging technologies to support the health, well-being and independent living of older adults. In this paper we focus on how AgeTech based on artificial intelligence (AI) may better support older adults to remain in their own living environment for longer, provide social connectedness, support wellbeing and mental health, and enable social participation. In order to assess and better understand the positive as well as negative outcomes of AI-based AgeTech, a critical analysis of ethical design, digital (...) equity, and policy pathways is required. A crucial question is how AI-based AgeTech may drive practical, equitable, and inclusive multilevel solutions to support healthy, active ageing. In our paper, we aim to show that a focus on equity is key for AI-based AgeTech if it is to realize its full potential. We propose that equity should not just be an extra benefit or minimum requirement, but the explicit aim of designing AI-based health tech. This means that social determinants that affect the use of or access to these technologies have to be addressed. We will explore how complexity management as a crucial element of AI-based AgeTech may potentially create and exacerbate social inequities by marginalising or ignoring social determinants. We identify bias, standardization, and access as main ethical issues in this context and subsequently, make recommendations as to how inequities that stem form AI-based AgeTech can be addressed. (shrink)

Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...) models cannot be compared to econometric models fairly. To solve these two problems, we further introduce a likelihood-based loss function to train the deep learning models and test all the models by the likelihood of the test sample. The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function. (shrink)

Career sustainability is a well-researched issue in academics and other sectors. Technology advancements and COVID-19 have jeopardized career sustainability. Numerous studies have explored the influence of individual characteristics on career sustainability, but few have focused on leadership. In addition, cultural factors must be considered because leadership is rooted in culture. In particular, inclusive leadership reflects traditional Chinese culture. Therefore, based on self-determination social exchange theories, we analyzed the effects of inclusive leadership on career sustainability as well as the roles of (...) thriving at work and supervisor developmental feedback in career sustainability. In total, 363 samples were collected from China. The results revealed that inclusive leadership improves career sustainability through SDF and thriving at work. Theoretically, our study fills the research gap and establishes a mechanism and theoretical framework for inclusive leadership and career sustainability. Practically, we offer guidance for enterprises to cultivate inclusive leadership and improve career sustainability. (shrink)