As companies are transforming their branding, marketing, operations, and research and development by running online communities to build their core competitive advantages in the digital era, the silent majority is still the norm in the online community and has become the focus of online community operations. Thus, it has become the core issue that why silent behavior of online community members occurs and its impact on operation performance of the online community. According to the traditional theory of organizational behavior, this (...) study focuses on the theoretical model of the relationship between proactive personality, silent behavior of online community members, and operation performance of the online community, and further analyzes the impact of community identification on these relationships. Eight hundred online community members in China participated in this study. The results indicate that: proactive personality has a significant negative impact on acquiescent silent and defensive silent behavior of the online community members, and a significant positive impact on prosocial silent behavior of the online community members; The acquiescent silence and defensive silence have a significant negative impact on online community operation performance, whereas prosocial silence has a significant positive impact on community operation performance; The acquiescent silence and defensive silence have a significant mediating effect on the relationship between proactive personality and community operation performance; Online community identification has a moderating effect on the relationship between silent behavior and online community operation performance. The study proposes the mechanisms and double-edged sword effects of the silent behavior of online community members from the perspective of personality traits. On the one hand, it generalizes the research of traditional organizational silent behavior theory to the context of the online community. On the other hand, it provides reference and inspiration for the theoretical research and practical management of silent behavior of online community members. (shrink)

In its three decades of development, many constructs of cause-related marketing have been tested from different perspectives and in varied contexts. However, there has not yet been an integrated empirical study. Reviewing 162 studies from 117 articles, we constructed a framework of meta-analysis and identified 20 constructs. Among these, 13 are antecedents that can be grouped into three components: consumer-related traits, execution-related factors, and product-related traits, while three mediators and four consequences are used to measure the effectiveness of cause-related marketing. (...) Moreover, we examined 857 relationships among the constructs. The results showed that consumer-related traits, execution-related factors, and product-related traits all influence the effectiveness of cause-related marketing to varying degrees. Furthermore, we analyzed the effects of six moderators and found that cause-related marketing would be more effective when the brand is familiar, the product is utilitarian, the donation magnitude is large, and the cause is less familiar. However, neither cultural orientation nor cause type significantly influences the effectiveness of cause-related marketing. Finally, the interactions between these moderators and execution-related antecedents provide contributions and implications for cause-related marketing. (shrink)

Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user search (...) records. The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. Through the calculation rules proposed in this paper, the target user’s preference score for a specific type of spoken English is obtained, and this score is assigned to the unrated item of the original user’s feature matrix as the initial starting score. At the same time, in order to solve the problem of insufficient user similarity calculation accuracy, a user similarity calculation algorithm based on “Synonyms Cilin Extended Edition” and search records is proposed. The algorithm introduces “Synonyms Cilin” to calculate the correlation between the semantic items, vocabulary, and query vector in the user query record to obtain the similarity between users and finally gives a user similarity calculation that integrates user ratings and query vectors method. For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. On the basis of word vectors, the advantages and disadvantages of CNN, LSTM, and SVM models in this shared task are analyzed through experimental data. The comparative experiment shows that the method in this paper has achieved relatively good results. (shrink)

The unwillingness of college students to use recycled water has become a key barrier to sewage recycling on campus, and it is critical to strengthen their inclination to do so. This paper used college students in Xi’an as a case study and adopted event-related potential technology to explore the effect of social norms on the willingness to use recycled water and the neural mechanism of cognitive processing. The results suggested the following: The existence of social norms might influence college students’ (...) willingness to use recycled water. When individuals’ willingness to use recycled water is lower than the social norm, there is a bigger feedback-related negative amplitude. College students pay more attention to social norms in groups with closer social distance. These findings can be used to provide a scientific basis for persuading the public to use recycled water from the perspective of the social norm to drive public acceptability. (shrink)

With the popularity of computer-based testing, it is easier to collect item response times in psychological and educational assessments. RTs can provide an important source of information for respondents and tests. To make full use of RTs, the researchers have invested substantial effort in developing statistical models of RTs. Most of the proposed models posit a unidimensional latent speed to account for RTs in tests. In psychological and educational tests, many tests are multidimensional, either deliberately or inadvertently. There may be (...) general effects in between-item multidimensional tests. However, currently there exists no RT model that considers the general effects to analyze between-item multidimensional test RT data. Also, there is no joint hierarchical model that integrates RT and response accuracy for evaluating the general effects of between-item multidimensional tests. Therefore, a bi-factor joint hierarchical model using between-item multidimensional test is proposed in this study. The simulation indicated that the Hamiltonian Monte Carlo algorithm works well in parameter recovery. Meanwhile, the information criteria showed that the bi-factor hierarchical model is the best fit model. This means that it is necessary to take into consideration the general effects and the multidimensionality of the RT in between-item multidimensional tests. (shrink)

Although work engagement as a positive organizational behavior has gained considerable achievements in recent years, there is still a lack of content research based on certain culture, job, and group characteristics. This study conducts a grounded theory research on work engagement by coding and analyzing the interview files from public servants working in the government located in Eastern China. The result shows a five-dimension construct of work engagement, which includes loyalty to the work, commitment to the working relationships, positive emotion, (...) initiative action, and priority for mixed roles. Additionally, the current study also constructs a theoretical model which discovers the dynamic variables motivating the process of work engagement and the influence of Confucianism. (shrink)

With the advent of the Big Data era, information and data are growing in spurts, fueling the deep application of information technology in all levels of society. It is especially important to use data mining technology to study the industry trends behind the data and to explore the information value contained in the massive data. As teaching and learning in higher education continue to advance, student academic and administrative data are growing at a rapid pace. In this paper, we make (...) full use of student academic data and campus behavior data to analyze the data inherent patterns and correlations and use these patterns rationally to provide guidance for teaching activities and teaching management, thus further improving the quality of teaching management. The establishment of a data-mining-technology-based college repetition warning system can help student management departments to strengthen supervision, provide timely warning information for college teaching management as well as leaders and counselors’ decision-making, and thus provide early help to students with repetition warnings. In this paper, we use the global search advantage of genetic algorithm to build a GABP hybrid prediction model to solve the local minimum problem of BP neural network algorithm. The data validation results show that Recall reaches 95% and F1 result is about 86%, and the accuracy of the algorithm prediction results is improved significantly. It can provide a solid data support basis for college administrators to predict retention. Finally, the problems in the application of the retention prediction model are analyzed and corresponding suggestions are given. (shrink)

Ben shu tong guo dui Kang Youwei zhi "qun" yu"du" guan nian de kao cha, lai ba wo Kang Youwei dui ge ren, guo jia nai zhi tian xia zhi xu de shen ke si kao. Zhu yao nei rong you: yi, Jin dai"qun-du" guan nian de chu xian ji qi zou xiang, er, Kang Youwei "qun-du" guan nian chan sheng de si xiang bei jing, san, "Du ren" yu Kang Youwei dui xian dai xing ge ti sheng cun zhi (...) ling hui, si, "Qun" yu guo jia wei xin, wu, "qun-du" guan lian yu chong tu: min quan yu guo jia guan nian zhi jian de zhang li, liu, Shi jie fan wei zhi "du" yu "qun" : guo jia yu "da tong"deng. (shrink)

As studies continue to accumulate on leader humility, it has become clear that humility in a leader is largely beneficial to his or her followers. While the majority of the empirical research on this topic has demonstrated the positive effects of leader humility, this study challenges that consensus by arguing that a leader’s humble behavior can have contradictory outcomes in followers’ voice behavior. Drawing on attachment theory, we develop a model which takes into account the ways in which leader humility (...) influences the seemingly contradictory voice behavior of followers, i.e., inducing challenging voice, and defensive voice depending on the followers’ sense of security as reflected by feeling trusted and self-efficacy for voice. The results of this empirical study confirm that leader humility influences followers’ voice in a contradictory way through their sense of security. (shrink)

The relationship between professional ethical reflection and corresponding moral behavior is an important theme of moral psychology in recent years. Following Schönegger and Wagner’s research in German-speaking countries, through a replication-extension of the original US-based research carried out by Schwitzgebel and Rust, we aim at examining their results in the Chinese context. The previous researchers have shown that ethical reflection generally has no positive effect on moral behavior. A cross validation of this result was conducted in Chinese mainland, and three (...) issues concerning Confucian virtues were added. Through reaching out to 4482 professors and collecting 368 responses altogether, we attempted to explore whether professional ethical reflection can influence normative attitude and the moral attitude-behavior consistency. Unfortunately, the results failed to show a statistically significant difference between ethicists and other professors on most of the moral issues, with the exception of paying academic membership fees and vegetarianism, wherein ethicists do express more stringent normative attitudes, and their moral attitude and self-reported behavior are statistically consistent. Notably, Chinese professors mainly expressed morally neutral attitudes toward the issue of eating meat, and they tended to believe that ethical reflection contributes to more and better moral behaviors. (shrink)

Life satisfaction is the general evaluation of the individual’s life, which is of great significance to achieving a better life. The purpose of the present study was to investigate the mediating effect of core self-evaluation, positive affect, and negative affect in the relationship between trait mindfulness and life satisfaction based on the Mindfulness-to-Meaning theory. 991 Chinese undergraduates completed the Mindful Attention Awareness Scale, the Core Self-Evaluations Scale, the Positive Affect and Negative Affect Scale, and the Satisfaction with Life Scale. The (...) results indicated that core self-evaluation and negative affect mediated the effect of trait mindfulness on life satisfaction, consistent with the Mindfulness-to-Meaning theory. Furthermore, trait mindfulness affected life satisfaction by the mediation paths of “core self-evaluation→positive affect” and “core self-evaluation→negative affect,” which uncovered the underlying mechanism of promoting life satisfaction by combining the point of view of cognition and emotion. The present study not only contributes to a better theoretical understanding of how trait mindfulness links to life satisfaction but also provides valuable guidance for enhancing life satisfaction. (shrink)

Student well-being and its relationships with academic achievement in China have not been well-investigated. This study aimed at investigating student well-being and the trade-off of the well-being and academic achievement with a sample of 1,353 Chinese high-school students from four cities in China during coronavirus disease 2019 pandemic period. The six dimensions of well-being were utilised to test the relationships with three subjects including Mathematics, English, and Chinese using a quantitative analysis. In this study, the relationships between six dimensions of (...) well-being and three academic subject achievements were tested in one statistical model. Results showed that spiritual well-being was ranked the highest, followed by psychological, physical, self, and social well-being. Students gave the lowest ranking to academic well-being. The two significant paths identified were between spiritual well-being and two subjects, namely, Chinese and Mathematics. It is interesting to note that the other five dimensions of well-being were significantly associated with any subjects and English was not significantly related to any dimensions of well-being in this study. Our findings suggested that policymakers and other stakeholders should avoid an “all or nothing” mindset on practice when considering well-being as a multidimensional construct. (shrink)

The ideas of face consciousness, group conformity, extended family concept, and crisis consciousness in Confucian culture have a subtle and far-reaching impact on housing consumption decision among the Chinese public, forming a housing consumption model of “preferring to own a house rather than rent one.” The poor interaction between the housing rental market and the sales market caused by the shortage of rental demand and irrational purchasing behaviors has led to soaring house prices and imbalance between supply and demand that (...) prevail in major cities in China. To gain a deeper understanding of public cognitive attitude toward decisions on owning and renting a house, this study divided the subjects into high and low impact groups based on the overall Confucian culture and four subdimensions. It attempts to take a cognitive neuroscience approach for assessing public stereotypes of housing consumption decision with different types based on the analysis of event-related potentials. The results are as follows. First, overall, there is an obvious implicit stereotype of renting a house and explicit stereotype of owning a house among the public. Second, ERPs data show that descriptions of renting a house with positive adjectives could evoke more significant N400 responses. In other words, in the heuristic system, the public perceive that renting a house is restrictive, stressful, unhappy, and crisis. Data from subjective reports show that, after processing information in the analytic system, the public tend to think that owning a house is self-contained, restful, warm, and comfortable. Third, a more negative stereotype of renting a house exists in the high Confucian culture influence group Group than in the low Confucian culture influence group Group, and is more inclined to own a home. Fourth, under the Confucian culture sub-dimension, there are differences in housing consumption stereotypes between high and low groups in terms of extended family concept, group conformity, and crisis consciousness. Fifth, the moderating effect analysis found that perceived usefulness, trust in the rental market, and policy perception can be important factors in guiding public housing consumption stereotypes. (shrink)

Achieving food system sustainability is one of the more pressing challenges of this century. Over the last decades, experts from diverse disciplines and intellectual traditions have worked to document the critical threats to food system sustainability and to define an appropriate agenda for action. Nevertheless, these efforts have tended to focus selectively on only a few components of the food system or have tended to be framed in particular discourses. Depending on the point of departure, what aspects of the food (...) system are considered threatened, and what must be sustained, can differ greatly between perspectives. In this article, we draw from systems-thinking and social-ecological systems concepts to focus on the underlying process-related attributes that could support a more sustainable food system. We then examine the support for specific system attributes in six different knowledge domains addressing sustainable agriculture and food. From this review, we identify five system attributes—diversity, modularity, transparency, innovation and congruence—that are repeatedly featured in the different knowledge domains as critical aspects of food system sustainability. We argue that in the face of considerable complexity and high uncertainty, these attributes can serve as a guide to conceptualizing food system choices adaptively and iteratively. (shrink)

The recent COVID-19 crisis caught many by surprise. Yet some firms were better prepared to weather the downturn than others. Using a comprehensive data set that observes over 15,000 firms in 27 countries, including several developing countries, shortly before and after the pandemic, we document that pre-crisis innovation affected firm’s survival odds and performance thereafter. The results show that innovative firms are less likely to close and perform better than non-innovators during the pandemic crisis. Innovative firms are also more optimistic (...) about the future than non-innovators. Our results further indicate that firm’s adaptability mediates the relationship between innovation and survival outcomes. The study finding shows that innovative firms are more likely to introduce new products, remote work arrangements, increase delivery, pivoting, and online activities than non-innovators during the pandemic crisis. (shrink)

Achieving food system sustainability is one of the more pressing challenges of this century. Over the last decades, experts from diverse disciplines and intellectual traditions have worked to document the critical threats to food system sustainability and to define an appropriate agenda for action. Nevertheless, these efforts have tended to focus selectively on only a few components of the food system or have tended to be framed in particular discourses. Depending on the point of departure, what aspects of the food (...) system are considered threatened, and what must be sustained, can differ greatly between perspectives. In this article, we draw from systems-thinking and social-ecological systems concepts to focus on the underlying process-related attributes that could support a more sustainable food system. We then examine the support for specific system attributes in six different knowledge domains addressing sustainable agriculture and food. From this review, we identify five system attributes—diversity, modularity, transparency, innovation and congruence—that are repeatedly featured in the different knowledge domains as critical aspects of food system sustainability. We argue that in the face of considerable complexity and high uncertainty, these attributes can serve as a guide to conceptualizing food system choices adaptively and iteratively. (shrink)

Companies in the world today understand that keeping users in touch is essential to enhancing their trust. The primary objective of this study was to determine the intention-based critical determinants of E-commerce utilization in China from the end users’ perspective. We developed a framework that identifies the factors that influence E-commerce utilization in China. Besides, we introduced observational research conducted in a real-world E-commerce sense. Results are based on a sample of 400 respondents by employing a comprehensive questionnaire survey. The (...) structural equation modeling and the partial least squares regression approach was used to analyze the data. Study results show that perceived usefulness, perceived ease of use, reputation, trust in vendors, and purchase frequency significantly influence consumers’ intention to use E-commerce systems. Research outcomes emphasize transforming social norms, raising consumers’ awareness, redesigning policy frameworks, and highlighting the paybacks that E-commerce offers through integrative and consistent efforts. (shrink)

As two different art categories, literature and painting use temporal words and spatial images respectively to convey information and narrative. In addition to the pursuit of visual decoration, the paintings in books and periodicals in the period of the Republic of China were widely and profoundly influenced by the literature of the same period from the aspects of the style of expression, the theme of content and the creative techniques, thus breaking through the limitations of their own media and achieving (...) narrative effects like literary. The reflection of literary thoughts and trends in theme, the translation of classical novels in content and the use of literary techniques such as metaphor, synaesthesia and “Bixing” in the expression techniques that further highlighted the functional value, aesthetic value, and historical value of the images. In the visual information age, only by maintaining the characteristics of their own media and absorbing the narrative advantages of other artistic media, can images break through the limitation of plane static space and achieve a narrative effect with more artistic appeal and ideological and cultural depth. (shrink)

The risk priority number calculation method is one of the critical subjects of failure mode and effects analysis research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic. Accordingly, increasing studies have ignored the important impact of the random sampling uncertainty in the FMEA assessment. In this study, a fuzzy beta-binomial RPN evaluation method is proposed by integrating fuzzy theory, Bayesian statistical inference, and the beta-binomial distribution. This model can effectively realize real-time, dynamic, and long-term evaluation (...) of RPN under the condition of continuous knowledge accumulation. The major contribution of the proposed model is to use the random uncertainty and fuzzy uncertainty in an integrated model and provide a Markov Chain Monte Carlo method to solve the complex integrated model. The study presented a case study, which presented how to apply this model in practice and indicated the significant influence on the measurement error caused by ignoring the random uncertainty caused by expert evaluation in RPN calculations. (shrink)

DNA extraction, playing an irreplaceable role in molecular biology as it is an essential step prior to various downstream biological analyses. Thus, the accuracy and reliability of downstream research outcomes depend largely on upstream DNA extraction methodology. However, with the advancement of downstream DNA detection techniques, the development of corresponding DNA extraction methods is lagging behind. The most innovative DNA extraction techniques are silica‐ or magnetic‐based. Recent studies have demonstrated that plant fiber‐based adsorbents (PF‐BAs) have stronger DNA capturing ability than (...) classic materials. Moreover, magnetic ionic liquid (MIL)‐based DNA extraction has gathered attention lately, and extrachromosomal circular DNA (eccDNA), cell‐free DNA (cfDNA), and microbial community DNA are current research hotspots. These require specific extraction methods, along with constant improvements in the way they are used. This review discusses the significance as well as the direction of innovation of DNA extraction methods to try to provide valuable references including current status and trends for DNA extraction. (shrink)

How to reduce pupils’ burden and improve learning efficiency? Research shows that non-intelligence factors and learning strategies are the key factors in the effective learning process, and external intervention can play a greater role in these two aspects. The purpose of this study is to explore the effects of different learning strategies on learning motivation under the presentation of augmented reality multimedia or traditional text learning. Sixty third-grade pupils in Hebei Province were selected, and 2 × 3 between-subjects design was (...) adopted. The dependent variable is learning motivation, which includes three dimensions: surface motivation, deep motivation and achievement motivation. The results showed that Learning strategies had a significant impact on deep motivation. The deep motivation aroused by retrieval practicing strategies was significantly higher than that aroused by restudying strategies and self-generated drawing strategies. The interaction between learning materials and learning strategies was marginally significant. When learning with AR materials, the achievement motivation of pupils in the restudying strategy group was higher than that in the retrieval practicing strategy group. Retrieval practicing strategies have positive significance in cultivating deep motivation. The combination of different learning modes and learning strategies will impact achievement motivation. (shrink)

With the idea of analyzing awareness as potential for knowledge, we propose a novel semantics for awareness logic. Expressivities of languages with different combinations of modalities for this semantics are investigated. We explore the properties of our semantics and compare our model with Fagin & Halpern model and the model by Heifetz et al. in partitional settings. A series of equivalence results are established from the comparison. Finally, we provide two axiomatizations for implicit knowledge and explicit knowledge, respectively, and prove (...) soundness and completeness for them. (shrink)

The article mainly tries to discuss the dialogue between China and Western countries from the aspect of logic. There were three sources of logic, including formal logic in ancient Greek, logic in Early Qin of China as well as logic in ancient India. While, among all the schools in ancient China, Mohist and Virtuoso valued logic most. But as the rulers of Han Dynasty only paid their homage to Confucianism, the two schools gradually sank, logic in Early Qin of China (...) discontinued, without entering the main headstream of logic development worldwide. Later, logic in China had little influence on Chinese society although Indian logic was introduced in Tang Dynasty, a scholar-bureaucrat named Zhizao Li in Ming Dynasty, translated logic textbook Discussion of Name and Science, and German philosopher G.W. Leibniz explained Chinese changing theory with binary system. In the early 1900s, during the process of introducing western science, logic, regarded as the basis of science and a tool of scientific research, was highly valued by Chinese scholars, in fact, western logic entered China through two channels. After Chinese scholars learnt from western logic, they made their contribution to the development of logic. (shrink)

ObjectiveThe objective of this study was to examine the structure of sibling relationships among preschool children in China and develop a questionnaire.MethodsThe concept of sibling relationships among preschool children in China was established through literature review, open interviews, and expert review, and the initial project was designed. Using the questionnaire survey method, with 651 mothers of preschool children as the research objects, we performed item analysis, exploratory factor analysis, confirmatory factor analysis, and reliability and validity tests on the initial questionnaire.ResultsThe (...) questionnaire for the sibling relationships among preschool children in China had 18 questions covering dimensions of sibling interaction, sibling acceptance, sibling warmth, and sibling rivalry. The questionnaire fitting indexes were better. The internal consistency coefficient between the total questionnaire and each dimension was 0.759–0.8548, and the total questionnaire significantly correlated with each dimension and the total score of parental self-efficacy.ConclusionThe Sibling Relationship Questionnaire for Chinese Preschool Children exhibited good reliability and validity, making it an effective tool for the evaluation of sibling relationships among preschool children. (shrink)

With the development of the globalization of science and technology, innovation has become an important driving force for regional economic development. As a core element of regional innovation, financial R&D resources have also become a key element to enhance national innovation capabilities and national economic competitiveness. National and regional innovation capabilities have a direct impact. There are also many deep-seated problems behind the world-renowned achievements, such as irrational industrial structure, insufficient independent innovation capabilities, low resource utilization efficiency, and the service (...) quality and efficiency of financial institutions for the transformation of total factor productivity. These problems extremely restrict the efficiency upgrade and further development of our country’s total factor productivity. This study uses the DEA-Malmquist index model to measure the efficiency of fiscal R&D resource allocation in 28 provinces and regions in China in the past 10 years and uses Mapinfo12.0 software to analyze regional differences in the efficiency of fiscal R&D resource allocation in China from a spatial perspective. During the year, the overall R&D resource allocation efficiency of 28 provinces and autonomous regions in China has shown an upward trend. The efficiency of fiscal R&D resource allocation and the concentration of financial factors have had a positive impact on total factor productivity, transform and upgrade factors, increase total factor productivity, and provide empirical evidence for building a strong country. (shrink)

This study adapted the Physical Disability Resilience Scale to Chinese conditions and evaluated the psychometric characteristics of the Chinese version in individuals with physical disability. A total of 438 individuals with physical disability were included in this study. The PDRS was translated to Chinese using a backward translation method. Construct validity, internal consistency reliability, and convergent validity were examined. Confirmatory factor analysis failed to replicate the original five-factor structure of the PDRS. After removing the Spirituality factor and an underperformed item, (...) exploratory factor analysis yielded four trait factors and a method-effect factor. A correlated trait–correlated method model that included the four trait factors and a method-effect factor reported better model fit than the four-factor model, which did not consider method effects. The four subscales of the revised PDRS showed adequate internal consistency. The convergent validity of the revised PDRS was established by the moderate-to-strong associations between its four subscales and theoretically related constructs. We conclude that the revised PDRS is a reliable and valid measure in assessing resilience among Chinese people with physical disability. (shrink)

Extant literature suggested that executive cognitive ability is a critical perspective to answering why and how enterprises perform business model innovation. However, the effect of executive cognitive ability on business model innovation is still insufficiently explored. Drawing on entrepreneurial bricolage theory, we developed a moderated mediation model which takes entrepreneurial bricolage as the mediating mechanism and environmental dynamics as the moderating mechanism to explain how executive cognitive ability influences business model innovation. We collected the data of 316 executives of Chinese (...) start-ups through questionnaires for the model test. Results showed that new venture executives' cognitive ability significantly positively affects business model innovation by mediating with entrepreneurial bricolage. Environmental dynamism positively moderates the effect of executives' cognitive ability on business model innovation. Moreover, environmental dynamism positively moderates the mediating role of entrepreneurial bricolage in executive cognitive ability and business model innovation. This study broadens the research scope of entrepreneurial bricolage theory from the perspective of cognitive ability and provides ideas for new ventures' business model innovation. (shrink)