Search

Purpose: This paper explores the mechanism of organizational Pao culture in an Oriental cultural context and its impact on CSR implementation and outcomes. Design/methodology/approach: Three short cases are presented to reveal how the traditional Chinese Pao culture influences CSR implementation and outcomes in Chinese firms. Findings: The findings suggest that the traditional Chinese Pao culture is the driver behind the value orientation of the norms of passing on favors and doing good deeds will be rewarded. Knowing this can help leaders in such organizations to incentivize member participation in building organizational Pao culture. Practical implications: Through the collaborative construction of the core of Pao culture and external evaluation standards of corporate social responsibility, enterprises can thus achieve the dual goals of self-development and social benefits. Social implications: Enterprises and managers can be encouraged to draw management wisdom from the essence of cultural norms, so as to achieve the goal of realizing the interests of all CSR participants. Originality/value: This paper emphasizes the dynamics and outcomes of CSR implementation in the context of the traditional Chinese Pao culture and expands the boundary of CSR research beyond a Western cultural setting. [ABSTRACT FROM AUTHOR]

Past studies have provided important insights into the relationship between science education and information and communication technologies (ICTs). However, few studies have sought to promote learning by integrating science education with indigenous culture via ICTs. Indigenous culture is a treasure of human civilization, but there is a crisis of rapid disappearance. Integrating indigenous culture into students' science education may help them understand the scientific implications of their culture, and preserve and participate in their cultural activities. This study explores the relationships between science education and indigenous culture through the use of ICTs in the context of Taiwan's Rukai tribe. A research process was proposed with three steps: planning, execution, and evaluation. There were 15 indigenous pre-service teachers from six tribes participating in the study. The results show that ICTs help them understand the scientific principles of their own culture, and develop practical materials and lesson plans that can be used for future teaching. It also makes them aware of the meaning and importance of their own culture. [ABSTRACT FROM AUTHOR]

Information technology has brought about significant changes in enterprises, and new work situations have led to new problems. Employee resistance to new technologies, their ability to learn, and their ability to utilize personal resources to improve work engagement in the face of technological pressure are important factors that companies need to consider when undergoing digital transformation. The influence mechanism of configuration effects on factors around employee work engagement has not been explored, and technostress creators have rarely been included in the configuration as influencing factors in previous studies. On the basis of the job demands-resources (JD-R) model and trait activation theory, this study explored the factors that affect employees' work engagement at the level of job demands and personal resources. The fuzzy-set qualitative comparative analysis (fsQCA) method was used to investigate the influence of technical stressors, self-efficacy, and the Big Five personality traits on employees' work engagement. Through a survey of 225 employees in the context of enterprise digital transformation, the results show three driving paths that promote employees' work engagement: openness to experience conscientiousness, self-efficacy driven, and inhibition to technical stressors. The study also analyzed employees' low work engagement state, which is driven by an inhibition of agreeableness and extraversion. This research enriches the study of factors influencing work engagement in the digital transformation of enterprises. [ABSTRACT FROM AUTHOR]

In Massive Open Online Courses (MOOCs), learners can post both text comments and overall ratings regarding the courses. There is growing interest in assessing the consistency of online reviews and the determinants of learner satisfaction. This study analyses the disconfirmation effect between textual review topics and the determinants of learner satisfaction in MOOCs. The MOOCs are categorised under three disciplines - Social Science, Technical Science, and Humanities & Natural Science. A crawler was employed to collect the corpus, extracting 93,679 reviews of 5,214 online courses from a Chinese university MOOC platform (icourse163.org). Textual analytics was used in the topic extraction. The empirical results suggest a strong disconfirmation effect between textual reviews and the determinants of learner satisfaction, i.e., not all textual review topics affect the overall learner satisfaction. Compared with positive reviews, negative (and neutral) reviews have a stronger disconfirmation effect. Further, the antecedents of learner attention are course-discipline specific. The disconfirmation effect is course-discipline dependent, with the most prominent for Technical Science courses, and the least for Humanities & Natural Science courses. This study provides a framework to guide platform managers and course instructors in better course delivery and enhancing overall learner satisfaction. [ABSTRACT FROM AUTHOR]

In recent years, the tourism industry has expanded rapidly and China will enter the mass tourism era comprehensively, with tourism becoming an important leisure lifestyle for people. However, natural disasters have the characteristics of high frequency, multiple types, wide distribution and large post-disaster losses, which often cause huge impact on tourism industry development. It is of great practical significance to explore the key factors for successful rescue of tourists after disasters. Taking the Wenchuan earthquake as an example, the article selects the Fuzzy Delphi Method and the Analytical Hierarchy Process as the data analysis method, and also randomly selects the local residents of 20 affected scenic spots as the research subjects. The results show that among the assessment dimensions, the most important dimension is prevention, followed by preparedness, response and recovery respectively. Meanwhile, among the 16 assessment indicators, the top five most valued indicators were regional emergency planning, management systems, prompt notification, publicity and education, training and emergency drill in order. Plain Language Summary: In recent years, the tourism industry has expanded rapidly and China will enter the mass tourism era comprehensively, with tourism becoming an important leisure lifestyle for people. This article selects the Fuzzy Delphi Method and the Analytical Hierarchy Process as the data analysis method, and also randomly selects the local resi-dents of 20 affected scenic spots as the research subjects. The results show that among the assessment dimensions, the most important dimension is prevention, followed by preparedness, response and re-covery respectively. Meanwhile, among the 16 assessment indicators, the top five most valued indi-cators were regional emergency planning, management systems, prompt notification, publicity and education, training and emergency drill in order. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to systematically map the state of work on human–machine collaboration in organizations using bibliometric analysis. Design/methodology/approach: The authors used a systematic literature review to survey 111 articles on human–machine collaboration published in leading journals to categorize the theories used and to construct a framework of human–machine collaboration in organizations. A bibliometric analysis is applied to statistically evaluate the published materials and measure the influence of the publications using co-citation, coupling and keyword analyses. Findings: The results inform that the research on human–machine collaboration in the organizational field is targeted at four aspects: performance, innovation, human resource management and information technology (IT). Originality/value: This work is the first exploratory piece to assess the extent and depth of research on human–machine collaboration. [ABSTRACT FROM AUTHOR]

Scholarly attention to social innovation has increased rapidly in recent years, but a broad picture to illustrate the structure of the field, tracing its evolution and identifying new research areas has been lacking. Thus, we conduct a three-step method to explore the trajectory of academic research on social innovation and identify potential research opportunities. In the first step, the bibliometric mapping software VOSviewer is used to visualize the network of authors and keyword co-occurrences. Next, SciMAT is applied to illustrate the evolution and importance of the themes. Then, content analysis is used to identify how specific research topics in social innovation in higher education have evolved. The author-keyword occurrence analysis and evolution map results reveal that innovation and design thinking were the most prominent keywords, and the citation analysis indicates that the works of Swyngedouw, Moulaert, and Westley as the leading research works in this field. The most influential countries during the study period from 1996 to July 2021 were the UK, the US, and Italy. Furthermore, the research collaboration network is more active among developed countries than among developing countries. Three research streams in social innovation in higher education have been identified: curriculum transformation, community-university partnership, and helix partnerships. This study supports understanding how higher education is shaped through social innovation. The results from this study can serve as a research reference on the state of the art and point to new research opportunities, notably on the need to engage developing countries in collaborating on social innovation in higher education through design, engagement, and partnership. [ABSTRACT FROM AUTHOR]

This study analyzed the influence of rhetoric in the endorsement text on the willingness of the crowd to participate in citizen science projects. Four categories of endorsers were studied: professors, students, industrial researchers, and amateur researchers. Using 1243 endorsement texts from 543 citizen science projects as the corpus, the effects of the standalone techniques (ethos, pathos, and logos) and mixed-rhetoric techniques of persuasion were examined empirically. The results informed that pathos and logos had significant advantages over ethos. Taking a mixed-rhetoric approach to the endorsement text with a mix of pathos (55%) and logos (45%) maximized the appeal of citizen science projects, and the influence of this approach had an inverted U-shaped effect. On the identity of the endorsers, the professors, students, and amateur researchers shared a similar rhetorical approach, while the industrial researchers shared another. However, from the influence of endorsement rhetorical strategies, the impact of amateur researchers was consistent with that of the industrial researchers (both pathos and logos were positive); and professors (only logos was positive) and students (only pathos was positive) reveal some differences. Finally, endorsement rhetoric strategies exerted a greater influence on the humanities and social science projects than on the natural science projects. [ABSTRACT FROM AUTHOR]

With the prevalence of the Internet in society, social media has considerably altered the ways in which consumers conduct their daily lives and has gradually become an important channel for online communication and sharing activities. At the same time, whoever can rapidly and accurately disseminate online data among different companies affects their sales and competitiveness; therefore, it is urgent to obtain consumer public opinions online via an online platform. However, problems, such as sparse features and semantic losses in short-text online reviews, exist in the industry; therefore, this article uses several deep learning techniques and related neural network models to analyze Weibo online-review short texts to perform a sentiment analysis. The results show that, compared with the vector representation generated by Word2Vec's CBOW model, BERT's word vectors can obtain better sentiment analysis results. Compared with CNN, BiLSTM, and BiGRU models, the improved BiGRU-Att model can effectively improve the accuracy of the sentiment analysis. Therefore, deep learning neural network systems can improve the quality of the sentiment analysis of short-text online reviews, overcome the problems of the presence of too many unfamiliar words and low feature density in short texts, and provide an efficient and convenient computational method for improving the ability to perform sentiment analysis of short-text online reviews. Enterprises can use online data to analyze and immediately grasp the intentions of existing or potential consumers towards the company or product through deep learning methods and develop new services or sales plans that are more closely related to consumers to increase competitiveness. When consumers experience the use of new services or products again, they may provide feedback online. In this situation, companies can use deep learning sentiment analysis models to perform additional analyses, forming a dynamic cycle to ensure the sustainable operation of their enterprises. [ABSTRACT FROM AUTHOR]

Purpose: Although MOOCs have become a pervasive online learning model, the problem of high dropout rates still persists. Gathering the reasons for the high dropout rate can help to improve the platform design and management of the MOOCs. Design/methodology/approach: A total of 74 studies was extracted from the Web of Science and Scopus. Following the PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) guidelines, the open-source program CiteSpace is employed to review and induce the studies on the antecedents of MOOC dropout. Findings: The antecedents of the MOOC dropout rate are the psychological, social, personal, course-related, and time factors, and the unexpected hidden cost. Motivation and interaction, which have a decisive impact on the dropout rate of MOOCs, interact with each other. Interaction helps to strengthen the motivation, and appropriate course design enhances the degree of interaction. Originality/value: From the perspective of a learner, the more knowledge and skills the learners acquire, the more likely they will complete the course. Possessing adequate foundational knowledge is one way to arrest the dropout rate. On the part of the MOOC platform, better course design eases the dropout rate. Further, the course duration and hidden cost in MOOCs contribute to the dropout rate. [ABSTRACT FROM AUTHOR]

Entrepreneurial teams are seen as pilots with which to steer growth in new ventures. However, there is currently a lack of studies exploring how they work under conditions of uncertainty. Based on the upper echelons theory and institutional theory, this study aims to reveal the role of entrepreneurial teams in new venture resilience through a questionnaire survey. Based on the data of 549 valid respondents, we find that resource bricolage is the key factor in new venture resilience, for which entrepreneurial team autonomy management governance is the most effective means. Specifically, (1) Entrepreneurial team profit-sharing governance and management autonomy governance significantly improve new venture resilience, whereas equity governance does not. (2) All the assessed means of entrepreneurial team contractual governance positively stimulate resource bricolage, with management autonomy governance playing the greatest role. (3) Resource bricolage significantly promotes new venture resilience and plays a complete mediating role in the relationship between equity governance and organizational resilience, and also plays a partial mediating role in the relationships of profit-sharing governance and management autonomy governance in regard to organizational resilience. These results suggest that entrepreneurial teams should prioritize authorizing further management rights to encourage team members to take on additional responsibilities, which could improve the resource bricolage capacities of new ventures and thus strengthen their resilience in tackling struggles. [ABSTRACT FROM AUTHOR]

Learners engaged in large-scale online learning often pose questions in which their peers or instructors can answer using various means of textual interaction topics. This paper assesses the effects of the text interaction strategies in online learning through the lens of the language expectancy theory at three levels: whether to respond to the questions, the identity of the respondents, and the textual interaction topics. Using 112,680 learning records of 610 courses from 71,948 learners crawled from the online learning programming platform iMOOC as the corpus, text mining is used to identify the interaction strategies. Using grounded theory, the textual interaction topics are divided into 2 groups (providing solutions, and encouragement & evaluation for the learners), and sub-divided into 6 topic clusters (code writing, operation guidance, providing references, encouragement, normative interpretation, and opinion exchange). The responses are classified by text mining. The results of the econometric model suggest that responding to the questions online fosters learning and reduces the dropout rate. The online learner benefits more from peer learning than from the instructors. On the text interaction topics, the topic "providing solutions" is more effective in reducing the learner's dropout rate than the topic "encouragement & evaluation". Further, code writing is more effective over providing references, encouragement, and normative interpretation. This study enriches our understanding of the interaction strategies between learners and instructors in iMOOC, and provides a reference for improving the online learning journey and retain learners. [ABSTRACT FROM AUTHOR]

Entrepreneurial risk is an important factor that individuals must consider when starting their own business. The COVID-19 continues to rage, bringing great challenges to China's economy and entrepreneurial activities. In this study, college students encounter greater entrepreneurial risks. There are two opposing views on the role of entrepreneurial risk in shaping individual entrepreneurial motivation: one view that risk is a threat, and the other view that entrepreneurial risk contains opportunity. Existing studies have discussed the issues from individual factors and environment factors, respectively, ignoring the combined effects of individual and environment factors. Person–situation transactions theory points out that individuals usually make their final behavior choices based on their comprehensive evaluation of environmental factors and themselves. Therefore, individual and environment factors should be integrated to investigate the effect of entrepreneurial risk on entrepreneurial motivation. Based on the person–situation transactions theory, this study establishes a theoretical model that entrepreneurial risk perception influences necessity and opportunity entrepreneurial motivation through entrepreneurial self-efficacy and discusses the moderating effect of entrepreneurship policy. A questionnaire survey was conducted on 595 fresh graduates from eight universities in China to obtain relevant data and the Structural Equation modelling was established to test the hypothesis. The results confirm that without the influence of external factors, college students regard entrepreneurial risk as a great threat, which not only weakens their entrepreneurial self-efficacy, but also reduces their necessity and opportunity entrepreneurial motivation. However, with the support of good entrepreneurial policies, entrepreneurial risk can be transformed into an opportunity to improve the entrepreneurs motivation driven by necessity of college students, but the impact on the opportunity motivation is not significant. This study deeply analyzes the dual characteristics of entrepreneurial risk perception in the process of shaping individual entrepreneurial motivation, expands the related research on entrepreneurial risk perception and entrepreneurial motivation, and has important implications for the government and universities to formulate entrepreneurial policies for college students. [ABSTRACT FROM AUTHOR]

Blended learning (BL) combines online and face-to-face teaching and learning and is thought to be an effective means to cultivate learners' sustainability literacy. The success of BL relies on learners who take the initiative to participate in the learning process. Therefore, this study aims to examine learners' acceptance of the BL system. The technology acceptance model (TAM) and the self-efficacy theory are combined to construct a systematic model to determine the learners' continuous intention to adopt BL. Seven constructs are identified, i.e., course quality (CQ), technical support (TS), perceived usefulness (PU), perceived ease of use (PEOU), satisfaction (SE), self-efficacy (SE), and behavioral intentions (BI). A survey was conducted using a close-ended questionnaire, and 461 valid responses were collected from Huaqiao University's undergraduate students. Covariance-based structural equation modelling was performed. The empirical findings show that except for the hypothesis regarding the connection between PU and PEOU, all the other hypotheses are verified. CQ stands out as having the greatest positive effect on PEOU, which highlights the importance of CQ for BL. The study also confirms that PU significantly impacts SA, SE, and BI, and both SA and SE significantly influence BI. Based on these results, some suggestions are provided for educators and administrators as to how to better design BL systems to strengthen sustainability education. [ABSTRACT FROM AUTHOR]

The support of entrepreneurial partners is key to social entrepreneurship and the continuous creation of social value. However, social entrepreneurship in China does not receive sufficient support from venture partners, contrary to the moral spirit of benevolence advocated by traditional Chinese Confucianism. From the perspective of the legitimacy judgement of entrepreneurial partners and using information processing theory, we construct a theoretical model of the interaction between uncertainty and entrepreneurial passion in entrepreneurial engagement and test hypotheses with data from 325 questionnaires completed in China. The results show that uncertainty negatively affects social entrepreneurial engagement, entrepreneurial passion positively affects social entrepreneurial engagement, and legitimacy judgement plays a mediating role in the relationship among uncertainty, entrepreneurial passion, and entrepreneurial engagement. The interaction between uncertainty and entrepreneurial passion affects entrepreneurial engagement through pragmatic legitimacy judgements and moral legitimacy judgements but not through relational legitimacy judgements. We examine why it is difficult for meritorious Chinese social entrepreneurial activities to obtain sufficient support from the perspective of entrepreneurial partners' judgements, extending the legitimacy judgement theory of social entrepreneurship from the perspective of interaction between individuals and the context. [ABSTRACT FROM AUTHOR]

Purpose: Previous studies overemphasize the negative effects of social media usage (SMU) within organizations and underestimate its positive influences on employees' behavior. This study attempts to link employees' social media use at work to their creativity performance. Design/methodology/approach: Based on the bounded generalized reciprocity theory and unbounded indirect reciprocity (UIR) theory, the authors developed a research model. To test the model, the authors collected a set of 172 paired data of organizations and employees from 31 knowledge-intensive enterprises in China to test the hypothesis. Findings: This research found that the social, cognitive and hedonic uses of social media all directly affect employee creativity. Relational energy fully mediates the effects of the cognitive and hedonic usages on creativity. Moreover, job autonomy moderates the effects of the relationships among the social, cognitive and hedonic uses on employee creativity. Originality/value: The conclusions not only enriched authors' understanding of the effectiveness of interpersonal interaction but also extended the research boundary of the relationship between SMU and employee creativity. [ABSTRACT FROM AUTHOR]

In recent years, interruption or failure events have occurred due to frequent natural disasters, the outbreak of COVID-19, policy environment turbulence, an increasingly complex business environment, and the increasingly fragile global supply chain. This has reduced the efficiency of supply chains and customer service quality and increased operating costs, creating new requirements for supply chain flexibility and sustainability. When investigating 21 companies based on 200 questionnaires and a structural equation model analysis, the results showed that the elasticity of the supply chain for supply chain sustainability, economic sustainability, social sustainability, and environment sustainability has an obvious positive effect: supply chain sustainability has an obvious positive effect on supply chain performance. Supply chain resilience has no direct positive effect on supply chain performance, but it has a strong indirect effect on supply chain performance under the mediating effect of supply chain sustainability. In view of this, in order to create sustainable supply chain development and improve the performances of supply chains, it is necessary to establish the awareness of risk prevention, root the risk culture in supply chain network organization, and improve supply chain resilience in multiple dimensions. Enterprises in the supply chain should continue to build their resilience and establish effective strategies to integrate supply chains. The intermediary role of sustainability in supply chains and of supply chain flexibility in supply chain performance shows the influence of economically, socially, and environmentally sustainable angles, such as the implementation of supply chain management, the maximization of the interests of the whole supply chain, improving the ability of supply chain enterprises to innovate and develop, establishing customer awareness, and enhancing humanistic ideas. Dynamic selection of supply chain partners while focusing on their green performance promotes the green development of supply chain enterprises. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to explore the relationship between job insecurity and unsafe behaviour in human–machine collaboration, as well as investigating the mediating roles of emotional exhaustion and moderating roles of psychological detachment. Design/methodology/approach: The authors followed the stressor-detachment model to build our research model. The authors selected manufacturing and service industry employees as samples, and designed three independent studies using the time-lagged method for SPSS and AMOS to test the hypotheses. Findings: The results indicated that emotional exhaustion mediated the relationship between the two types of job insecurity and unsafe behaviours among service industry employees, while psychological detachment moderated the effect of qualitative job insecurity on emotional exhaustion. In manufacturing, psychological detachment moderated the effect of quantitative job insecurity on emotional exhaustion, while emotional exhaustion mediated the relationship between quantitative job insecurity and unsafe behaviours. Research limitations/implications: The authors enhance understandings of how individual employee characteristics and the work environment jointly influence employees' levels of emotional exhaustion and likelihood of engaging in unsafe behaviours under the stressor-detachment model. Practical implications: The authors suggest an important role of psychological detachment in human–machine collaboration. The authors also that organisations and managers could encourage employees not to check work-related emails on weekends to achieve full detachment. Originality/value: This study contributes to both the stressor-detachment model and job insecurity literature. In addition, it investigates the role of detachment and emotional exhaustion by employees in human–machine collaboration. [ABSTRACT FROM AUTHOR]

New media technology can effectively support teacher–student rapport. In this study, Chinese students befriended their teachers on social media, and we compared their blended learning (N=455) based on this social media interaction with face-to-face learning (N=450). The results indicate that affective learning and cognitive learning in blended learning were superior to face-to-face learning. However, no significant differences in social presence, academic self-concept, or grade point average were observed between blended learning and face-to-face learning. According to a multi-group structural equation modelling analysis, the mediating effect of affective learning in blended learning was superior to that in face-to-face learning; in addition, academic self-concept significantly influenced cognitive learning. No significant difference was found for grade point average. Finally, we propose blended learning related suggestions regarding how to trigger students' connection need and inspire their wisdom and potential. [ABSTRACT FROM AUTHOR]

Innovation is believed to be a key driver of societal and economic well-being. In many cases, it has also led to more sustainable lifestyles and a more efficient use of natural resources. But despite the relevance of innovation as a tool to support sustainable development, there is a need for research that analyses current trends in order to guide future efforts. The present paper addresses this research need. It examines existing methods and tools for fostering social innovation in matters related to sustainable development, within the framework of the SDGs. By means of an online survey undertaken among sustainability and innovation experts in a sample of industrialised and developing nations, this study has identified some of the means via which social innovation is being pursued, along with its applications and limitations. A number of case studies showing examples of sustainable innovation have been mapped to demonstrate its usefulness. A causal loop diagram, which links the factors associated with social innovation within the context of the UN Sustainable Development Goals, is also presented, offering a greater understanding of their interconnections. The paper concludes by outlining some measures that may help to take better advantage of the many opportunities offered by social innovation that put the principles of sustainable development into practice. [ABSTRACT FROM AUTHOR]

A multivariate time series is one of the most important objects of research in data mining. Time and variables are two of its distinctive characteristics that add the complication of the algorithms applied to data mining. Reduction in the dimensionality is often regarded as an effective way to address these issues. In this paper, we propose a method based on principal component analysis (PCA) to effectively reduce the dimensionality. We call it "piecewise representation based on PCA" (PPCA), which segments multivariate time series into several sequences, calculates the covariance matrix for each of them in terms of the variables, and employs PCA to obtain the principal components in an average covariance matrix. The results of the experiments, including retained information analysis, classification, and a comparison of the central processing unit time consumption, demonstrate that the PPCA method used to reduce the dimensionality in multivariate time series is superior to the prior methods. [ABSTRACT FROM AUTHOR]

Entrepreneurship has flourished in recent years; however, since education on how to raise funds has received little attention from scholars, obtaining funds remains a difficult task. The development of crowdfunding has provided new opportunities to entrepreneurs, thus solving the funding, marketing, and distribution problems they previously faced. The main purpose of this study is to organize crowdfunding literature and to develop a crowdfunding curriculum grounded on output-based education. Students are asked to develop a product and a crowdfunding plan within the span of one semester. This study explains the teaching content separately from the crowdfunding plan competition, course elements, and timetable. [ABSTRACT FROM AUTHOR]

The identification and supervision of systemically important financial institutions (SIFIs) are crucial for regulators to address systemic risks to the financial system. Prevalent identification methods are biased because less attention is paid to the indirect connections among financial institutions. This study proposes a novel method for measuring the systemic importance of financial institutions. The proposed method is an identification algorithm based on adjacency information entropy that integrates the direct and the indirect connections among financial institutions. The sizes of financial institutions will not be investigated, and each financial institution is regarded as a node in the financial system network. The adjacency degree of every node is calculated. Subsequently, the information entropy of each node can be determined. The magnitude of the information entropy is taken as the importance measure of these financial institutions in the financial network. We conduct empirical analysis by employing the data of stock prices of 16 listed banks in the Chinese securities market with a sample period from October 2007 to December 2019 and adopt the method presented in this study to rank the systemic importance of these banks. Analysis shows that the ranking is in accordance with the reality, and the algorithm will promote the accuracy of identifying SIFIs. [ABSTRACT FROM AUTHOR]

The original innovation talents and their achievements promote the development of natural science and are regarded as a symbol of the national comprehensive power. This study explores the process that causes original innovation talents' personality, uses fuzzy-set qualitative comparative analysis, and explores the linkage between configurations made up of early growth experiences and personality. We took Nobel Prize winners as samples and discovered that high responsibility was inspired by high family democracy driving, high family size driving, high family function driving, and high teaching democracy driving; high extroversion was inspired by high family size driving, high family democracy driving, and high family status driving; high openness was inspired by high family status driving, high family democracy driving, high family size driving, both high open teaching and educational level driving, as well as high peer support driving; high or non-high family status brought high extroversion or openness; non-high teacher accomplishments and teacher-student relationships produced high openness; non-high extroversion came with non-high teacher-student relationship. We proposed strategies for strengthening the positive effects or avoiding the negative effects of early growing-up experiences on personality. [ABSTRACT FROM AUTHOR]

Purpose: Information distortion affects the perception of quality, which, in turn, influences investment decisions and determines the pledge results of fundraising. This study combines signalling theory with persuasion theory to empirically study the effects of linguistic information distortion from fraudulent cues on a crowdfunding campaign's fundraising outcomes using text analytics, with implications for entrepreneurs, platforms and investors. Design/methodology/approach: This study empirically analyzes 328,974 crowdfunding projects from the Kickstarter platform. Information distortion is detected using four indicators, based on text mining analytics. An econometric model is built to estimate the impact of information distortion, while the predictive power of the information distortion is detected through machine learning. Findings: The results inform that distortion in the blurb, detailed description and reward statement dampen a campaign's success, but embellishing the entrepreneur's biography enhances the success of financing. Furthermore, information distortion exhibits a significant inverted U-shaped influence. The effect of the interaction terms suggests that campaigns with high pledge goals are more sensitive to information distortion, and that native-speaking entrepreneurs are adept at applying linguistic skills to promote the campaign. Originality/value: This study provides a linguistic method to detect the influence of information distortion on crowdfunding campaigns. Further, the study offers some practical suggestions for entrepreneurs on how to generate attractive narratives, and contributes to the investor's decision-making and informs the platform's promotion strategy. [ABSTRACT FROM AUTHOR]

Entrepreneurship education plays a mediating moderating role in independent entrepreneurship, especially for the fresh graduates where entrepreneurial knowledge charms. Based on the mediating effect model, this study explores the correlation between three factors and independent entrepreneurship. A set of hypotheses was established by investigating the theoretical background within the field of interest. Such hypotheses were later assessed by an online-offline mix study conducted among graduates. The result found that entrepreneurship theory-based courses can promote independent entrepreneurship, but entrepreneurship practice training surprisingly failed to promote. Entrepreneurial opportunity identification mediated only between theory-based courses and independent entrepreneurship. The findings found could be highly beneficial in organizing entrepreneurship syllabus, scientifically arranging a theory-based course, and practicing a training course. Moreover, it could be further developed into a pedagogical model. [ABSTRACT FROM AUTHOR]

Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises (SMEs) on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found that articles with enterprise-related information optimized for content related to users' psychological needs (heart-based content optimization, mind-based content optimization, and knowledge-based content optimization) achieved higher visibility than that of sheer enterprise-related information, whereas the enterprise-related information embedded with material incentive (benefits-based content optimization) brings lower visibility. The results confirm the positive effect of psychological needs on the diffusion of enterprise-related information, and provide guidance for SMEs to apply artificial intelligence technology to social media practice. [ABSTRACT FROM AUTHOR]

Business incubators (BIs) have gradually evolved to focus increasingly on the development of networks and network functions. However, existing literature indicates that much ambiguity remains regarding the importance and role of cooperation within the incubator networks. In particular, few studies divide incubator networks into internal and external networks to explore how these networks influence the enterprise growth performance (EGP). Based on the social network and organizational learning theories, we analyze the role of entrepreneurial learning (exploratory and exploitative) in the relationship between internal and external networks and EGP in dynamic environments. Through a multiple regression analysis of survey data from 205 incubatees in 14 Chinese business incubators, we find that the BIs' internal and external networks positively impact EGP and exploratory and exploitative learning mediate the relationship between them. Moreover, when incubatees are in a highly dynamic environment, internal networks more positively affect exploitative learning, while external networks inhibit exploratory learning. Finally, we discuss the study's implications. [ABSTRACT FROM AUTHOR]

Venture capital investment has serious conflicts of interest and information asymmetry. Venture capitalists often make investment decisions on the basis of the passion of entrepreneurs, including enthusiasm and preparedness, in the process of interacting with them. Most of the previous research on relational capital have focused on the cooperative relationship between suppliers and buyers. However, the role of relational capital in the process of partnership between venture capitalists and entrepreneurs has not been revealed. On the basis of signaling theory, we explore the relationship between entrepreneurial passion and venture capitalists' willingness to invest. We also examine the mediating and moderating roles of relational capital. This study takes 79 projects between venture capitalists and entrepreneurs as samples for empirical analysis to verify our hypothesis. Results show that entrepreneurs' enthusiasm and preparedness have a significant positive impact on venture capitalists' willingness to invest. Relational capital plays a mediating role between entrepreneurial passion and venture capitalists' willingness to invest. Relational capital positively moderates the relationship between preparedness and venture capitalists' willingness to invest but has no moderating effect between enthusiasm and venture capitalists' willingness to invest. Results deepen the understanding of the relationship between entrepreneurs' passion and venture capitalists' willingness to invest, which has guiding significance for venture capital practice in China. [ABSTRACT FROM AUTHOR]

Entrepreneurship research generally focuses more on the entrepreneurial outcomes of entrepreneurs and less on their entrepreneurial process. To a certain extent, well-being reflects how tired entrepreneurs are during entrepreneurship. Based on conservation of resources theory, this study proposes a double-edged sword model of the effect of entrepreneurial identity on subjective well-being, using the two-dimensional structure of work rumination as a mediator. This study also concentrates on the moderating role of entrepreneurial mindfulness. Multiple hierarchical regression methods are used to analyze and test 882 valid samples. Results suggest that the effect of entrepreneurial identity produces distinctly different outcomes. On the one hand, entrepreneurial identity induces entrepreneurs' work-related affective rumination to reduce their subjective well-being through the path of resource depletion. On the other hand, entrepreneurial identity stimulates entrepreneurs' contemplation on work-related problem-solving pondering to enhance their subjective well-being through the path of resource acquisition. In the path of resource depletion, work-related affective rumination produces a "suppressing effect" between an entrepreneur's identity and entrepreneurial subjective well-being. In addition, entrepreneurial mindfulness weakens the resource depletion path. Entrepreneurial mindfulness negatively moderates the relationship between entrepreneurial identity and work-related affective rumination. Entrepreneurial mindfulness also does not strengthen the resource acquisition path. Mindfulness does not positively moderate the relationship between entrepreneurial identity and work-related problem-solving pondering. The findings further extend the research on the influence of entrepreneurial identity on subjective well-being. They also reveal the mechanisms and boundary conditions of the effect of entrepreneurial identity on subjective well-being. [ABSTRACT FROM AUTHOR]

This study examines the role of social connections and network centrality in attracting funders to crowdfunding campaigns. We classify social connections as either external (e.g., Facebook) or internal (e.g., investing in online platforms through resource exchange). Drawing from the 108,463 crowdfunding campaigns on the online platform Kickstarter from April 21, 2009, to July 24, 2019, we apply external linkages and online followers to estimate the effect of external social connections. We construct a digraph network for the internal social connections and use PageRank, HITS, and centrality to obtain the weights of the nodes. Next, we compare the performance change of several prediction algorithms by feeding social connection-related variables. This study has several findings. First, for external social connections, having more online followers improves the funding success rate of a campaign. Second, for internal social connections, only authority and degree in centrality positively affect the number of funders and the campaign's financing progress among the weights of the nodes. Third, using social connection variables improves the prediction algorithms for funding outcomes. Fourth, external social connections exert greater funding outcomes than internal social connections. Fourth, entrepreneurs should extend their external social connections to their internal social connections, and network centrality expedites project financing. Fifth, the effect of social connections on fundraising outcomes varies among the campaign categories. Fundraisers who are online influencers should leverage their online social connections, notably for the project categories that matter. [ABSTRACT FROM AUTHOR]

This study examines the role of social connections and network centrality in attracting funders to crowdfunding campaigns. We classify social connections as either external (e.g., Facebook) or internal (e.g., investing in online platforms through resource exchange). Drawing from the 108,463 crowdfunding campaigns on the online platform Kickstarter from April 21, 2009, to July 24, 2019, we apply external linkages and online followers to estimate the effect of external social connections. We construct a digraph network for the internal social connections and use PageRank, HITS, and centrality to obtain the weights of the nodes. Next, we compare the performance change of several prediction algorithms by feeding social connection-related variables. This study has several findings. First, for external social connections, having more online followers improves the funding success rate of a campaign. Second, for internal social connections, only authority and degree in centrality positively affect the number of funders and the campaign's financing progress among the weights of the nodes. Third, using social connection variables improves the prediction algorithms for funding outcomes. Fourth, external social connections exert greater funding outcomes than internal social connections. Fourth, entrepreneurs should extend their external social connections to their internal social connections, and network centrality expedites project financing. Fifth, the effect of social connections on fundraising outcomes varies among the campaign categories. Fundraisers who are online influencers should leverage their online social connections, notably for the project categories that matter. [ABSTRACT FROM AUTHOR]

The question of why entrepreneurs undertake business planning activities differently, ranging from planning "in the head" to generating formal written documents, is still impenetrable. Aggregating data on 11,064 observations from 32 independent data set, this study meta-analyzed how business experience and gender influence entrepreneurs' disposition to business planning behaviors. Surprisingly, contradictory to some extant views that entrepreneurs without prior experience are more likely to make business plans, we found that both managerial experience and entrepreneurial experience positively influence entrepreneurs' subsequent business planning behaviors. Drawing insight from the effectuation and institutional perspectives, this study showed that, rather than entrepreneurial experience, managerial experience motivates entrepreneurs to generate formal business plans. For entrepreneurs who create formal business plans, both entrepreneurial experience and managerial experience enhance their business planning sophistication. In addition, we examined the moderating effects of gender on the relationship between business experience and business planning. The results suggested that female entrepreneurs with entrepreneurial experience are more likely to undertake business planning behaviors and create formal business plans than their male counterparts. [ABSTRACT FROM AUTHOR]

According to the social exchange theory, this study analyzed how a bottom-line mentality (BLM) among leaders affects teachers' innovative behavior and how this relationship is mediated by relative deprivation and psychological safety and moderated by person-organization values fit. Using two stages of data collection, 491 responses from teachers were obtained and analyzed. The results revealed that leader BLM significantly negatively affected teachers' innovative behavior, and relative deprivation and psychological safety both partially mediated this influence of leader BLM. Person-organization values fit negatively moderated the positive effect of leader BLM on teachers' relative deprivation and the negative effect of leader BLM on teachers' psychological safety. This study enriches the current literature about BLM and tests the influence of leader BLM on teacher's innovation in the Chinese education and training institutions, and provides insights into favorable educational management practices. [ABSTRACT FROM AUTHOR]

In view of the importance of various components and asynchronous shapes of multivariate time series, a clustering method based on dynamic time warping and affinity propagation is proposed. From the two perspectives of the global and local properties information of multivariate time series, the relationship between the data objects is described. It uses dynamic time warping to measure the similarity between original time series data and obtain the similarity between the corresponding components. Moreover, it also uses the affinity propagation to cluster based on the similarity matrices and, respectively, establishes the correlation matrices for various components and the whole information of multivariate time series. In addition, we further put forward the synthetical correlation matrix to better reflect the relationship between multivariate time series data. Again the affinity propagation algorithm is applied to clustering the synthetical correlation matrix, which realizes the clustering analysis of the original multivariate time series data. Numerical experimental results demonstrate that the efficiency of the proposed method is superior to the traditional ones. [ABSTRACT FROM AUTHOR]

In the face of the sudden outbreak of coronavirus 2019 (COVID-19), some students showed resilience in coping with difficulties while some did not. While different types of students showed different levels of resilience, are there significant characteristics among students with similar levels of resilience? In this study, 3,454 students (aged 15–25 years) were surveyed to understand students' perceived social support-coping modes while investigating the demographic characteristics and mental health status of subclasses of different modes. We found that (1) in the two subgroups of students with extremely low and low levels of perceived social support, the source of students' perceived social support did not have a clear orientation; in the two subgroups with moderate and high levels of perceived social support, the most perceived emotional support was from family and friends, while the least perceived support was companionship from teachers, classmates, and relatives, and problems related to the dependability of friends and communication with family. (2) The degree of social support perceived by students is directly proportional to the coping tendency, i.e., as the degree of perceived social support increases, the proportion of students adopting active coping strategies increases while that of students adopting negative coping strategies decreases; thus, we concluded that high levels of emotional support from family and friends can increase students' tendency of adopting positive strategies to cope with difficulties, while problems related to the dependability of friends and communication with family decrease students' tendency of adopting positive coping strategies. (3) Gender had a significant impact on the extremely low and low levels of perceived social support-negative coping tendencies; these subgroups accounted for 34.6% of the total students. Gender showed no significant influence on other subgroups, a school type had no impact on the distribution of the subgroups. (4) The higher the degree of perceived social support, the lower is the degree of students' general anxiety, and the lower is the degree of impact by the COVID-19 pandemic. The subdivision of student groups allows us to design more targeted support programmes for students with different psychological characteristics to help them alleviate stress during the COVID-19 epidemic. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper was to explore the voicer's own psychological or behavioral reactions to voice. A framework was proposed to predict how and when employee voice is related to innovative behavior in the workplace based on conservation of resources theory. Design/methodology/approach: Data was collected from a three-wave survey including 232 employees and their supervisors. Hierarchical multiple regression and PROCESS, a SPSS macro, were used to test the hypotheses. Findings: Employee voice was positively associated with innovative behavior. Perceived organizational status mediated the link between voice and innovative behavior. Meanwhile, performance-goal orientation strengthened the positive voice–perceived organizational status and voice–innovative behavior associations. Originality/value: This paper extended the authors' understanding of the outcomes of voice by elucidating that voice could motivate the psychological or behavioral reactions of not only team members but also the voicer himself/herself. In addition, it highlighted the value of performance-goal orientation in strengthening the potentially positive relationship between voice and perceived organizational status. In doing so, the authors identified the unexplored individual-level psychological and behavioral reactions of the voicer himself/herself after speaking up. The present study also provided practical implications by shedding light on measures to promote innovative behavior in the workplace. [ABSTRACT FROM AUTHOR]

The effectiveness of trust has been extensively investigated in entrepreneurship studies. However, compared to the outcomes of trust, we still lack knowledge about the mechanisms underlying venture capitalists' initial trust in entrepreneurs. Drawing from signal theory and impression management theory, this study explores an impression management motivational explanation for the influencing factors of venture capitalists' initial trust. An empirical test is based on 202 valid questionnaires from venture capitalists, and the results indicate that the signal of five dimensions of entrepreneurial orientation has a significant impact on the initial trust of venture capitalists and that a signal of entrepreneurial orientation of perseverance or passion positively influences venture capitalists' initial trust through acquired impression management strategies, while a signal of entrepreneurial orientation of risk-taking, innovation, or proactivity positively affects the initial trust of venture capitalists through defensive impression management strategies. The perceptions of entrepreneurs' hypocrisy by venture capitalists negatively moderate the relationship between acquired impression management strategies and the initial trust of venture capitalists and negatively moderate the relationship between defensive impression management strategies and the initial trust of venture capitalists. [ABSTRACT FROM AUTHOR]

The role of venture capital (VC) in the process of transforming the innovation capabilities of enterprises into benefits was explored by Jin et al. Shu et al. examined creativity and innovation from the perspective of education and proposed a sustainability-oriented framework for creativity, innovation, and entrepreneurial education. Keywords: innovation; entrepreneurship; maker; venture capital; creativity EN innovation entrepreneurship maker venture capital creativity N.PAG N.PAG 4 03/10/21 20210308 NES 210308 Entrepreneurship is a process that can be undertaken by individuals or groups of individuals. The following section will elaborate on entrepreneurship, maker, innovation, creativity, and venture capital, respectively. [Extracted from the article]

Purpose: This study aims to reach academic consensus on key factors and boundaries used in defining the concepts of "social entrepreneurship" (SEsh), "social entrepreneur" (SE), and "social enterprise" (SEV). This study also explores the complex relationships among social/business enterprises, definitional categories and factors, missions, and impacts on effectiveness of practices and organizing for venture success. Design/methodology/approach: Content analysis is conducted on articles published from 1998 to 2016 in peer-reviewed academic journals in the fields of management and organization. Furthermore, 80 articles are obtained and analyzed in terms of factors and frequently used terms for unified definitions and their intertwined linkages. Findings: The unifying factors for the definitions of SEsh, SE, and SEV include primary mission and processes and resources. Strong linkages are observed between SEsh and actors, SE and characteristics, and SEV and organizational form. Results indicate that definitional categories and factors share numerous joint terms that can be used to propose unified definitions. This study identifies the effective interactions of variables among social mission, capabilities to manage resources and processes, entrepreneurial characteristics of actors, and forms of ventures in a process that provides potential for organizational sustainability and impact maximization. Research limitations/implications: This paper contributes to research by identifying clear and agreed-upon factors and traits as boundaries to propose definitions that can advance the legitimacy of social entrepreneurship as an academic field worthy of future exploration. Practical implications: The findings emphasize social mission that achieves public benefits while preventing mission drift. Economic value and choice of organizational form can advance the fulfillment of objectives and governance practices. This study also presents the key influencing factors at various stages of an entrepreneurial process to determine how these concepts interact to increase the likelihood of organizational emergence and survival. Originality/value: This work is the first to systematically review management and organizational literature on the key factors and terms that constitute the distinct definitions of SEsh, SE, and SEV and help clarify their complex relations in an entrepreneurial process. [ABSTRACT FROM AUTHOR]

Social networks can provide massive amounts of information for communication among users and communities. The trust relationships in social networks can be utilized to reveal user preferences for improving the quality of social recommendation, which aims to mitigate information overload and provide users with the most attractive and relevant items or services. However, the data sparsity and cold-start issue degrade recommendation performance significantly. To address these issues, a novel trust-embedded collaborative deep generative model (TCDG) is proposed for exploiting multisource information (content, rating and trust) to predict ratings. TCDG employs deep generative model to unsupervisedly learn deep latent representations for item content through an inference network in latent space instead of observation space. Meanwhile, TCDG adopts probabilistic matrix factorization to map users into low-dimensional latent feature spaces by trust relationships, which can reflect users' mutual influence on the formation of users' opinions more accurately and learn better implicit relationships between items and users from content, rating and trust. In addition, an approach with an annealing parameter to calculate the maximum a posteriori estimates is proposed to learn model parameters. Experiments using four real-world datasets are conducted to evaluate the prediction and top-ranking performance of our model. The results indicate that TDCG has better accuracy and robustness than other methods for making recommendations. [ABSTRACT FROM AUTHOR]