Limmonahan2552

Based on the normative conflict model, this study proposes a dual-pathway model that is constituted of organizational identification and normative conflict, and examines the double-edged sword effect of ethical leadership on subordinates' constructive deviance. According to the analysis of 449 questionnaires collected from Chinese employees, the results show that ethical leadership can promote employees' constructive deviance by improving their constructive intention (Organizational identification), and it can weaken employees' deviance motivation (normative conflict) to prevent their constructive deviance. Moreover, ethical leadership has different effects on different types of constructive deviance. This research further enriches the formation mechanism of constructive deviance and provides practical guidance to exert the effectiveness of constructive deviance in organizational management.Accepting the idea that the mental representations of concepts, diagrams, relations, plans, etc., are thought-shapers, I suggest going a bit further. Any kind of representation, be it mental or public, i.e., accessible to others, bears thought-shaping potential, albeit not in the same manner. Just as the idea of embodied cognition takes into consideration environmental facilities and obstacles, I suggest investigating thought processes in a broader context, i.e., placing thought-shapers in the context of their formation. I propose that the elements of the above mentioned definition of thought-shapers are built upon a structure that consists of representational skills, means, and institutions. In accordance with the idea of embeddedness and enactment, the need for communication and the given cognitive and physical aptitudes result in different kinds of expression, i.e., different kinds of representations available to others. When an expressional mode solidifies, it opens up new possibilities and limitations. Ig centuries, until recently even. In conclusion, as a case study, I will illuminate how the term "mental representation" as a highly abstract term facilitates and at the same time hinders philosophical and scientific inquiry.Green technology innovation is an effective way through which to achieve carbon neutrality and sustainable development. Based on provincial panel data of 30 provinces in China from 2005 to 2018, this work examines the tripartite relationship among green technology innovation, resource misallocation, and carbon emission performance by constructing panel regression models and a dynamic threshold panel model. The research results show that green technology innovation significantly improves carbon emission performance. Further analysis shows that both capital and labour misallocation have a negative impact on carbon emission performance and hinder the contribution of green technology innovation to the improvement of carbon emission performance. The regression results show that there is a threshold effect of green technology innovation on carbon emission performance as the degree of resource misallocation increases, the positive impact of green technology innovation on carbon emission performance gradually decreases. This study provides an important reference for policy-makers in implementing policies to improve carbon emission performance. Policy-makers should continue to promote the level of green technology innovation and improve the efficiency of labour and capital allocation.To better understand the positive impact of sports events on host cities, this study uses social capital and social identity theories combined with structural equation modeling (SEM) to explain the psychic income that sports events may bring to residents. The investigation and analysis of the Qingdao Marathon in 2021 show that (1) sports events can generate social capital; (2) social capital can positively influence social identity; and (3) social identity can significantly impact event excitement, city attachment, and city pride in psychic income.The application of artificial intelligence science popularization kits in maker courses has promoted the rapid development of maker education. However, there exist few theoretical and empirical studies on the application of artificial intelligence science popularization kits in maker education. The theory of learner satisfaction can be used to explain learner motivation and outcomes with regard to participation in maker education using the artificial intelligence suite. Therefore, taking advantage of the opportunity the Zhejiang Action Plan for Promoting the Development of New Generation Artificial Intelligence (2019-2022) has provided, this study first conducted semi-structured interviews based on the results of a literature review and a questionnaire survey and then performed Pearson correlation analysis and regression analysis using SPSS 24.0 to explore the influencing factors of students' satisfaction with the use of artificial intelligence science popularization kits in education. The following results were obtained. (1) The correlation between grades and learners' satisfaction is not significant. (2) The use of a high-quality artificial intelligence science suite in the classroom will positively impact learners' satisfaction. (3) The degree of interaction with the artificial intelligence suite is negatively correlated with learners' satisfaction. (4) Teaching adaptability is significantly positively correlated with learner satisfaction. (5) Learners' individual characteristics have no significant positive correlation with learner satisfaction. Therefore, this study recommends focusing on suite quality, improving human-computer interaction, adopting a student-centered strategy, and aiming at improving the suitability of the curriculum.During the COVID-19 pandemic, questions have been raised about the impact of face masks on communication in classroom settings. However, it is unclear to what extent visual obstruction of the speaker's mouth or changes to the acoustic signal lead to speech processing difficulties, and whether these effects can be mitigated by semantic predictability, i.e., the availability of contextual information. The present study investigated the acoustic and visual effects of face masks on speech intelligibility and processing speed under varying semantic predictability. Twenty-six children (aged 8-12) and twenty-six adults performed an internet-based cued shadowing task, in which they had to repeat aloud the last word of sentences presented in audio-visual format. The results showed that children and adults made more mistakes and responded more slowly when listening to face mask speech compared to speech produced without a face mask. Adults were only significantly affected by face mask speech when both the acoustic and the visual signal were degraded. While acoustic mask effects were similar for children, removal of visual speech cues through the face mask affected children to a lesser degree. However, high semantic predictability reduced audio-visual mask effects, leading to full compensation of the acoustically degraded mask speech in the adult group. Even though children did not fully compensate for face mask speech with high semantic predictability, overall, they still profited from semantic cues in all conditions. Therefore, in classroom settings, strategies that increase contextual information such as building on students' prior knowledge, using keywords, and providing visual aids, are likely to help overcome any adverse face mask effects.Unprecedentedly impacted by COVID-19, tourism enterprises are pushed to adopt new strategic management to cope with the changes in tourists' consumer perception for sustainable development, such as corporate and compete simultaneously with their competitors. Our study aims to investigate the intermediate role of coopetition, including the three dimensions of resource similarity, market commonality, and willingness to cooperate in the marketing and performance relationships. Primary data on 360 observers were collected via questionnaire distribution to theme park managers in China with 85.3% accuracy in response rate. Structural equation modeling (SEM) was used to verify the intermediate effect of coopetition on marketing performance in tourism enterprises. The results of SEM indicate (1) the intermediate role of tourism coopetition, including the three dimensions existing in the relationship between tourism marketing and performance, (2) more significant positive impact on non-financial performance than that on financial performance, and (3) the mechanism of implementing coopetition. This study gives supportive evidence for tourism enterprises to implement coopetition and highlights the implications for appropriately developing coopetition strategies and tactics to achieve the synergy effect for the individual enterprises and the spillover effect for the destination regarding policy-making, mindset, and partner selection.The purpose is to improve the teaching and learning efficiency of college Innovation and Entrepreneurship Education (IEE). Firstly, from the perspective of aesthetic education, this work designs the teacher and student sides of the Computer-aided Instruction (CAI) system. Secondly, the CAI model is implemented based on the weight sharing and local perception of the Convolutional Neural Network (CNN). Finally, the performance of the CNN-based CAI model is tested. Meanwhile, it analyses students' IEE experience under the proposed CAI model through a case study of Music Majors from Xi'an Conservatory of Music. The experimental data show that the CNN-based CAI model can respond quickly and stably when users access different functional modules, such as webpage browsing. The proposed CAI model increases students' entrepreneurial interest, skills, and knowledge by 55.62, 57.32, and 72.12%, respectively. Students' entrepreneurial practice ability has been improved by over 50.00%; such an increase in entrepreneurial practice ability has also shown individual differences. Thus, the proposed Music Majors-oriented IEE-infiltrated CAI model based on CNN improves students' entrepreneurial practice ability and reflects the positive experience of Music Majors on IEE. Apocynin nmr The finding provides references for the step-by-step identification of the CNN-based CAI model and has certain guiding significance for analyzing the effect of college IEE.

This study focuses on positive effects of the COVID-19 pandemic and aims to identify associations between gender, individual quarantine and duration of the COVID-19 (short- medium- and long-term pandemic), and posttraumatic growth (PTG).

The data was collected via an online survey in Israel, and included 1,301 participants, 543 participants experienced short-term pandemics, 428 participants experienced medium-term pandemics and 330 participants experienced long-term pandemics. Most of the participants were female (73.6%), ranging from 18 to 89 years-old. The participants answered questions about their demographic background, individual quarantine experiences and ranked their PTG level.

The results indicate a significant main effect of gender and pandemic duration (short-, medium- and long-term pandemic). Women reported higher PTG levels than men, and participants experiencing short-term pandemic reported significantly lower PTG levels than participants experiencing medium- or long-term pandemic. There was also a significant interaction between gender and pandemic duration regarding PTG and a significant interaction in PTG by gender, pandemic duration and individual quarantine.