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Yenchun Jim Wu (Ph.D, University of Michigan) is Distinguished Professor of Graduate Institute of Global Business and Strategy, College of Management at National Taiwan Normal University, Taiwan. He has authored over 130 peer-reviewed articles in international journals including, but not limited to, Academy of Management Learning and Education, MIT Sloan Management Review, IEEE Transactions on Engineering Management, Information & Management, Computers in Human Behaviour, Computers & Education, International Journal of Operations & Production Management, Supply Chain Management, Management Decision, Journal of the American Society for Information Science and Technology, International Journal of Physical Distribution & Logistics Management, International Journal of Logistics Management, European Journal of Operational Research, International Journal of Production Economics, Transportation Research Part A,D & E, and Technological Forecasting and Social Change.. He has served on the editorial review board for many international journals. His research interests include supply chain management, technology management, and innovation and entrepreneurship. He can be reached at [email protected]
Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.
Yunmei Liu; Shuai Zhang; Min Chen; Yenchun Wu; Zhengxian Chen. The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining. Sustainability 2021, 13, 7585 .
AMA StyleYunmei Liu, Shuai Zhang, Min Chen, Yenchun Wu, Zhengxian Chen. The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining. Sustainability. 2021; 13 (14):7585.
Chicago/Turabian StyleYunmei Liu; Shuai Zhang; Min Chen; Yenchun Wu; Zhengxian Chen. 2021. "The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining." Sustainability 13, no. 14: 7585.
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.
Wenhai Wan; Longjun Liu; Jing Long; Qing Fan; Yenchun Jim Wu. The Bottom-Line Mentality of Leaders in Education and Training Institutions: Where to Go for Innovation? Frontiers in Psychology 2021, 12, 689840 .
AMA StyleWenhai Wan, Longjun Liu, Jing Long, Qing Fan, Yenchun Jim Wu. The Bottom-Line Mentality of Leaders in Education and Training Institutions: Where to Go for Innovation? Frontiers in Psychology. 2021; 12 ():689840.
Chicago/Turabian StyleWenhai Wan; Longjun Liu; Jing Long; Qing Fan; Yenchun Jim Wu. 2021. "The Bottom-Line Mentality of Leaders in Education and Training Institutions: Where to Go for Innovation?" Frontiers in Psychology 12, no. : 689840.
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.
Xiaoji Wan; Hailin Li; Liping Zhang; Yenchun Jim Wu. Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation. Wireless Communications and Mobile Computing 2021, 2021, 1 -8.
AMA StyleXiaoji Wan, Hailin Li, Liping Zhang, Yenchun Jim Wu. Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation. Wireless Communications and Mobile Computing. 2021; 2021 ():1-8.
Chicago/Turabian StyleXiaoji Wan; Hailin Li; Liping Zhang; Yenchun Jim Wu. 2021. "Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation." Wireless Communications and Mobile Computing 2021, no. : 1-8.
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.
Yingping Mai; Yenchun Jim Wu; Yanni Huang. What Type of Social Support Is Important for Student Resilience During COVID-19? A Latent Profile Analysis. Frontiers in Psychology 2021, 12, 646145 .
AMA StyleYingping Mai, Yenchun Jim Wu, Yanni Huang. What Type of Social Support Is Important for Student Resilience During COVID-19? A Latent Profile Analysis. Frontiers in Psychology. 2021; 12 ():646145.
Chicago/Turabian StyleYingping Mai; Yenchun Jim Wu; Yanni Huang. 2021. "What Type of Social Support Is Important for Student Resilience During COVID-19? A Latent Profile Analysis." Frontiers in Psychology 12, no. : 646145.
With the acceleration of urbanization, effective smart city programs need to consider both daily management and crisis management. In this process, to enable health information technology to better contribute to the construction of smart cities, the government and firms need to pay attention to the public's intention to adopt technology. Based on the context of China's response to the COVID-19 pandemic in smart cities, we analyze the influencing factors of the behavioral intention to use health information technology using an extended unified theory of acceptance and use of technology model. Data for this study were collected from 721 inhabitants of 290 smart cities in China. The empirical results showed that performance expectations, effort expectations, social influence, and facilitating conditions positively affected their behavioral intention to use health information technology, whereas perceived risk had the opposite effect. This study found that the positive effects of social influence and effort expectations on the behavioral intention to use health information technology increased with improvement in the perceived level of city smartness and technical information transparency. Finally, we discuss theoretical and practical implications.
Wenqing Wu; Yenchun Jim Wu; Hongxin Wang. Perceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown. Computers in Human Behavior 2021, 122, 106840 .
AMA StyleWenqing Wu, Yenchun Jim Wu, Hongxin Wang. Perceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown. Computers in Human Behavior. 2021; 122 ():106840.
Chicago/Turabian StyleWenqing Wu; Yenchun Jim Wu; Hongxin Wang. 2021. "Perceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown." Computers in Human Behavior 122, no. : 106840.
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.
Hongtao Yang; Lei Zhang; Yenchun Jim Wu; Hangyu Shi; Shuting Xie. Influence of Entrepreneurial Orientation on Venture Capitalists' Initial Trust. Frontiers in Psychology 2021, 12, 1 .
AMA StyleHongtao Yang, Lei Zhang, Yenchun Jim Wu, Hangyu Shi, Shuting Xie. Influence of Entrepreneurial Orientation on Venture Capitalists' Initial Trust. Frontiers in Psychology. 2021; 12 ():1.
Chicago/Turabian StyleHongtao Yang; Lei Zhang; Yenchun Jim Wu; Hangyu Shi; Shuting Xie. 2021. "Influence of Entrepreneurial Orientation on Venture Capitalists' Initial Trust." Frontiers in Psychology 12, no. : 1.
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.
Wenzhi Zheng; Fang Yu; Yenchun Jim Wu. Social media on blended learning: the effect of rapport and motivation. Behaviour & Information Technology 2021, 1 -11.
AMA StyleWenzhi Zheng, Fang Yu, Yenchun Jim Wu. Social media on blended learning: the effect of rapport and motivation. Behaviour & Information Technology. 2021; ():1-11.
Chicago/Turabian StyleWenzhi Zheng; Fang Yu; Yenchun Jim Wu. 2021. "Social media on blended learning: the effect of rapport and motivation." Behaviour & Information Technology , no. : 1-11.
Editorial on the Research Topic From Thinker to Doer: Creativity, Innovation, Entrepreneurship, Maker, and Venture Capital Entrepreneurship is a process that can be undertaken by individuals or groups of individuals. In their pursuit of entrepreneurial success, entrepreneurs are often under a relatively significant amount of psychological influence. Hence, the Research Topic not only explores the interaction between psychology and entrepreneurial ecosystem including entrepreneurship, maker, innovation, creativity, and venture capital, but also summarizes the latest developments and methodological contributions. This Research Topic spans a body of work that represents the effort of 53 academic papers from 198 authors. The following section will elaborate on entrepreneurship, maker, innovation, creativity, and venture capital, respectively. Considering the advance law-based governance implemented in China, Miao examined the relationship between psychological understanding and the behavioral choices of entrepreneurs in the legal and artificial intelligence industries. The results found that the behavior choice of entrepreneurs in the legal industry are highly correlated with psychological understanding. The entrepreneurs' psychological understanding and behavior choice in the field of artificial intelligence do not show a direct correlation but indirect correlation through indirect factor innovation opportunities. After studying the impact of various psychological leadership styles of entrepreneurs on organizational learning abilities and performance, Tong found that the transformational psychological leadership style was positively correlated with organizational learning abilities, financial performance, and growth performance. Xu and Zhang conducted a questionnaire survey with 305 multinational entrepreneurs to understand the psychological effects of trade frictions. The results show that economic pressure was positively correlated with diminished thoughts and self-efficacy, and that diminished entrepreneurial thoughts caused by economic pressure could be reversed through social support. Baluku et al. studied the impacts of positive psychological attributes on entrepreneurial intention and action. The results demonstrated that having firm implementation intentions is crucial to translating intentions into actions. Based on the personality development theory, Chen and Yu constructed a recommendation algorithm system for entrepreneurial projects under an optimized deep neural network. The research revealed that the optimized deep neural network could effectively enhance college students' entrepreneurial intentions and mental resilience. Chien-Chi et al. explored the relationship between emotional competence, entrepreneurial self-efficacy, and entrepreneurial intentions, discovering that entrepreneurial self-efficacy mediates the relationship between emotional competence, and entrepreneurial intentions. Li H. et al. approached entrepreneurship education from the perspectives of psychology and literary ethics. The results show significant correlations among entrepreneurship education, entrepreneurial intentions, and entrepreneurial efficacy. Sun et al. investigated the interrelationships among four specific entrepreneurial characteristics (i.e., the need for achievement, locus of control, risk-taking propensity, and creativity) and their systematic influence on engineering students' entrepreneurial intentions. The study found that, while creativity and risk-taking propensity directly affect entrepreneurial intentions, the need for achievement and locus of control do so indirectly. Wu W. H. et al. explored the cognitive processes underlying entrepreneurial intentions through entrepreneurial awareness, revealing that Taiwan's medical universities' entrepreneurship education did not align with the best-recommended practices. This was mainly because most teachers had little or no opportunity to practice or experience entrepreneurship. Yin et al. analyzed the relationships among college students' entrepreneurial psychological quality, psychological education, and entrepreneurial intentions. They identified inadequate entrepreneurial ability and the lack of professional knowledge as the leading causes of the students' negative attitudes toward entrepreneurship. While past studies on social entrepreneurial intentions mostly concentrated on the impacts of bright personalities, Wu W. et al. discussed the relationship between the dark triad and social entrepreneurial intentions by highlighting the mediating role of moral disengagement and the moderating role of empathic concern and perspective-taking. The dark triad negatively correlated with social entrepreneurial intentions mediated by moral disengagement. The results also indicated that education efforts might help mitigate the dark triad's negative impacts on social entrepreneurial intentions. Du J. et al. delved into the impacts of different types of cultivation models in social entrepreneurship education on students' social entrepreneurship and concluded that the teacher-student co-entrepreneurship model is more effective and conducive to practical learning, compared to the traditional cultivation model. Qin et al. examined the effects of lean entrepreneurship education under the flipped classroom mode, indicating that incorporating the flipped classroom in the context of lean entrepreneurship effectively achieves the goal of deep learning ideally. Wang and Chiou shed light on the key factors influencing the willingness to implement online entrepreneurship programs (OEPs) among universities' Business Management departments, and the effectiveness of such OEPs. The results show that although innovative factors influence the departments' willingness to implement OEPs significantly, organizational, and environmental factors exert a greater influence on OEP implementation effectiveness. Li Y. et al. probed the determinants influencing the...
Yenchun Jim Wu; Chih-Hung Yuan; Mu-Yen Chen. Editorial: From Thinker to Doer: Creativity, Innovation, Entrepreneurship, Maker, and Venture Capital. Frontiers in Psychology 2021, 12, 1 .
AMA StyleYenchun Jim Wu, Chih-Hung Yuan, Mu-Yen Chen. Editorial: From Thinker to Doer: Creativity, Innovation, Entrepreneurship, Maker, and Venture Capital. Frontiers in Psychology. 2021; 12 ():1.
Chicago/Turabian StyleYenchun Jim Wu; Chih-Hung Yuan; Mu-Yen Chen. 2021. "Editorial: From Thinker to Doer: Creativity, Innovation, Entrepreneurship, Maker, and Venture Capital." Frontiers in Psychology 12, no. : 1.
This study aims to examine the effect of perceived environmental dynamism on entrepreneurial team member’s innovation. Based on the uncertainty reduction theory, this study constructs a multilevel moderated mediation model of the relationship between perceived environmental dynamism and entrepreneurial team member’s innovation. By collecting questionnaires from 117 entrepreneurial team leaders and 479 team members in China, this research found that perceived environmental dynamism could stimulate entrepreneurial team members’ innovation via triggering their information exchange behavior. In addition, entrepreneurial team members’ intolerance for uncertainty and team cooperative climate can moderate the indirect positive relationship between perceived environmental dynamism and individual innovation. Our findings contribute to a better understanding of entrepreneurial team members’ responses to dynamic environment and their innovation behavior.
Xiao Deng; Xi Guo; Yenchun Wu; Min Chen. Perceived Environmental Dynamism Promotes Entrepreneurial Team Member’s Innovation: Explanations Based on the Uncertainty Reduction Theory. International Journal of Environmental Research and Public Health 2021, 18, 2033 .
AMA StyleXiao Deng, Xi Guo, Yenchun Wu, Min Chen. Perceived Environmental Dynamism Promotes Entrepreneurial Team Member’s Innovation: Explanations Based on the Uncertainty Reduction Theory. International Journal of Environmental Research and Public Health. 2021; 18 (4):2033.
Chicago/Turabian StyleXiao Deng; Xi Guo; Yenchun Wu; Min Chen. 2021. "Perceived Environmental Dynamism Promotes Entrepreneurial Team Member’s Innovation: Explanations Based on the Uncertainty Reduction Theory." International Journal of Environmental Research and Public Health 18, no. 4: 2033.
An entrepreneurship movement is sweeping the world; new product development (NPD) is the core activity of an organization’s competitive strategy, which includes concept design and the successful development of new products that can be launched in the market. However, a surprising dearth of research has been conducted on what the components and knowledge should be embedded in the process of new product development. To orchestrate a timely curriculum, this study aims to analyze the published papers on new product development to shed light on comprehensive developments and trends within the field. Thus, the Latent Semantic Analysis (LSA) was applied to extract research tropics based on scientific articles published between 2015 and 2019 and interpreted the results using Bloom’s Revised Taxonomy. The study identified ten educational objectives of NPD curriculum from the initial results. Furthermore, the domain knowledge and key components were derived from the corresponding educational objective. Consistent with previous findings and others’ assumptions, the study found that the scope of NPD curriculum is still expanding continuously; and the results herein can guide educators to design a more appropriate curriculum and to enhance students’ learning performance.
Yenchun Jim Wu; Jeng-Chung Chen; Kune-Muh Tsai. A Curriculum Design Method for New Product Development. Designing Networks for Innovation and Improvisation 2021, 259 -272.
AMA StyleYenchun Jim Wu, Jeng-Chung Chen, Kune-Muh Tsai. A Curriculum Design Method for New Product Development. Designing Networks for Innovation and Improvisation. 2021; ():259-272.
Chicago/Turabian StyleYenchun Jim Wu; Jeng-Chung Chen; Kune-Muh Tsai. 2021. "A Curriculum Design Method for New Product Development." Designing Networks for Innovation and Improvisation , no. : 259-272.
Smart manufacturing is an important part in sustainable development of smart cities. The industrial revolution under smart manufacturing evolves the traditional automatic modes with mass production into the efficiency of small, diverse and rapidly customized manufacturing and collaborative manufacturing, and can solve increasingly serious shortage of work force resulting from decline in working-age populations. IoT and Internet services can be used to develop smart factories, so as to enable all mechanical units to have the ability to communicate with each other, through smart integration of sensing and control systems and other technologies. In this paper, the development of Taiwan’s smart cities is discussed from the perspective of smart manufacturing development, the concept and the current international situation are introduced, and then smart factories’ intellectual technologies, IoT, cloud computing, mass data analysis, artificial intelligence, cyber-Physical systems and Cyber security are introduced in order, and execution status of the smart manufacturing in Taiwan and its integrated manufacturing capacities are finally discussed. Under the vision of smart machine industrialization and industrial wisdom mechanization, readers are more easily to understand Taiwan’s role in the competition of sustainable development of smart cities and are expect to cultivate outstanding competitive talents.
Yung Chang Wu; Yenchun Jim Wu; Shiann Ming Wu. Development Opportunities of Taiwan’s Smart Cities from the Viewpoint of Smart Manufacturing. Designing Networks for Innovation and Improvisation 2021, 71 -90.
AMA StyleYung Chang Wu, Yenchun Jim Wu, Shiann Ming Wu. Development Opportunities of Taiwan’s Smart Cities from the Viewpoint of Smart Manufacturing. Designing Networks for Innovation and Improvisation. 2021; ():71-90.
Chicago/Turabian StyleYung Chang Wu; Yenchun Jim Wu; Shiann Ming Wu. 2021. "Development Opportunities of Taiwan’s Smart Cities from the Viewpoint of Smart Manufacturing." Designing Networks for Innovation and Improvisation , no. : 71-90.
Online financing projects allow users to post comments on projects including various topics in different stages. As a typical user generated content, due to the dynamic generation of comments on online financing projects, user will produce different text topics among various stages. Based on the comment text of online financing projects, this study analyzes the dynamic topics evolution in the online comments, considering both the time and topic factors. Using 5,405,498 comments from Kickstarter as corpus, dynamic topic model is employed, and the online comments are divided into two stages: antecedent stage and posterior stage. The experimental results show that, in the antecedent stage, the topics such as social promotion and content of the project are the mainstream. In the online comments after the financing, namely, posterior stage, there are huge differences in topics. The topics are distributed among the progress inquiry, fund usage, product discussion, etc. This phenomenon may be due to the differences between project schedules and reality. This study shows the dynamic changes of online investor’s concerns, which provides a channel for the analysis of online investment opinions.
Wei Wang; Yenchun Jim Wu. Online Financing Campaigns’ Comments: Insights from Crowdfunding Pitches. Designing Networks for Innovation and Improvisation 2021, 485 -493.
AMA StyleWei Wang, Yenchun Jim Wu. Online Financing Campaigns’ Comments: Insights from Crowdfunding Pitches. Designing Networks for Innovation and Improvisation. 2021; ():485-493.
Chicago/Turabian StyleWei Wang; Yenchun Jim Wu. 2021. "Online Financing Campaigns’ Comments: Insights from Crowdfunding Pitches." Designing Networks for Innovation and Improvisation , no. : 485-493.
Individuals have a large amount of personal information on social media (SM), which provides companies with new opportunities for talent selection. However, researchers’ understanding of the effectiveness of assessments based on SM is relatively ambiguous, and the conclusions of empirical studies remain controversial. The Realistic Accuracy Model provides theoretical and methodological support for the application of SM information in zero-acquaintance contexts. Accordingly, we collected and matched 160 sets of Chinese SM assessment (other-assessment) and employee self-assessment data. Through a two-step data analysis, we conducted a consistency check and verification of behavioural predictions. The results suggested that in terms of general suitability, as well as knowledge, skills, abilities, and other characteristics (KSAOs), the other-assessments and self-assessments were consistent. Furthermore, the general suitability and KSAOs of the other-assessments were predictive of behavioural intention (i.e., openness to change). This study empirically tested the accuracy of SM talent assessments, and finally, the research limitations and future trends were discussed.
Zheng Wenzhi; Wu Yenchun; Shen Chuangang; Wen Hao. Social media for talent selection? a validity test of inter-judge agreement and behavioral prediction. Information Technology and Management 2021, 22, 1 -12.
AMA StyleZheng Wenzhi, Wu Yenchun, Shen Chuangang, Wen Hao. Social media for talent selection? a validity test of inter-judge agreement and behavioral prediction. Information Technology and Management. 2021; 22 (1):1-12.
Chicago/Turabian StyleZheng Wenzhi; Wu Yenchun; Shen Chuangang; Wen Hao. 2021. "Social media for talent selection? a validity test of inter-judge agreement and behavioral prediction." Information Technology and Management 22, no. 1: 1-12.
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.
Linhai Zhao; Yingjie Li; Yenchun Jim Wu. An Identification Algorithm of Systemically Important Financial Institutions Based on Adjacency Information Entropy. Computational Economics 2021, 1 -19.
AMA StyleLinhai Zhao, Yingjie Li, Yenchun Jim Wu. An Identification Algorithm of Systemically Important Financial Institutions Based on Adjacency Information Entropy. Computational Economics. 2021; ():1-19.
Chicago/Turabian StyleLinhai Zhao; Yingjie Li; Yenchun Jim Wu. 2021. "An Identification Algorithm of Systemically Important Financial Institutions Based on Adjacency Information Entropy." Computational Economics , no. : 1-19.
Correlation analysis in the retail industry mainly involves market basket analysis. This kind of correlation analysis of retail product sales does not reflect the information regarding the time or quantity of the sales. Product sales datasets contain rich information about the correlations between different products at different times. The co-occurrence of similar sales subsequences reveal that product sales are correlated in a specific time period. Therefore, searching for similar co-occurrence patterns can help analyze the temporary correlations between products. The search for similar subsequences can be viewed as motif discovery in time-series datasets. In the field of motif discovery, the matrix profile (MP) provides an overwhelming advantage in detecting motifs. In this study, our aim is to discover motifs using MP, and hence, analyze the temporary sales correlations between products. The results of our numerical experiments indicate what products customers will purchase at what time. As opposed to strong association rules, we name the correlation rules in this work as temporary rules (TRs). Our results also show that customers’ preferences are not stable and change with time. In the retail industry, TRs can help business owners make suitable product promotions at appropriate times. Moreover, our analysis demonstrates that TRs can extract more interesting information and patterns than mining with association rules.
Hailin Li; Yenchun Jim Wu; Shijie Zhang; Jinchuan Zou. Temporary rules of retail product sales time series based on the matrix profile. Journal of Retailing and Consumer Services 2021, 60, 102431 .
AMA StyleHailin Li, Yenchun Jim Wu, Shijie Zhang, Jinchuan Zou. Temporary rules of retail product sales time series based on the matrix profile. Journal of Retailing and Consumer Services. 2021; 60 ():102431.
Chicago/Turabian StyleHailin Li; Yenchun Jim Wu; Shijie Zhang; Jinchuan Zou. 2021. "Temporary rules of retail product sales time series based on the matrix profile." Journal of Retailing and Consumer Services 60, no. : 102431.
A central-local dual governance system is the basic system of environmental governance in China. Co-governance between the central environmental protection department (CEPD) and local environmental protection departments (LEPDs) is an important means to effectively promote China’s carbon emission reduction strategy. Accordingly, this paper discusses their interactive decision-making and investigates how to optimize the strategic relationships between the CEPD, LEPDs, and carbon emission enterprises (CEEs) under the dual governance system by constructing a trilateral evolutionary game model and analyzing evolutionary stability strategies, achieving a numerical experiment simulation of evolution processes and determining the impacts of various factors using MATLAB, leading to several countermeasures and suggestions. The results indicate that the CEPD should rationally use the incentive mechanism for LEPDs, improve the carbon tax system, and further penalize the nepotistic relationship of LEPDs and CEEs. Furthermore, it is essential to reform the current LEPD performance evaluation system and reduce the cost of LEPD positive regulation through subsidies and financial transfer payments. Additionally, the CEE strategy is affected by carbon reduction tax rates, penalties, subsides, and emission reduction costs and revenues. This study reveals the consequences of interactions between CEPD, LEPDs, and CEEs and presents options for the redesign of incentive and regulatory mechanisms to improve carbon emission reduction performance in China.
Wenke Wang; Xiaoqiong You; Kebei Liu; Yenchun Jim Wu; Daming You. Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach. International Journal of Environmental Research and Public Health 2020, 17, 8463 .
AMA StyleWenke Wang, Xiaoqiong You, Kebei Liu, Yenchun Jim Wu, Daming You. Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach. International Journal of Environmental Research and Public Health. 2020; 17 (22):8463.
Chicago/Turabian StyleWenke Wang; Xiaoqiong You; Kebei Liu; Yenchun Jim Wu; Daming You. 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach." International Journal of Environmental Research and Public Health 17, no. 22: 8463.
Nonlocal entrepreneurship plays an important role in promoting regional economic development. The purpose of this paper is to discuss the influence of the subjective and objective factors (organizational legitimacy and regional entrepreneurial ecosystem) of nonlocal entrepreneurship on its sustainable performance and boundary conditions. Through the analysis of 608 questionnaires of 237 teams at different times, the following conclusions are drawn: First, we find that entrepreneurial ecosystems and organizational legitimacy effectively promote nonlocal entrepreneurial teams’ sustainable performance, and strategic flexibility has positive moderating effects on this relationship. Secondly, through polynomial regression and response surface analysis, we find that the interaction between entrepreneurial ecosystems and organizational legitimacy has a positive impact on sustainable performance. Specifically, compared with the inconsistent status of entrepreneurial ecosystems and organizational legitimacy, the sustainable performance is higher under a consistent status. Compared with the low consistency status of entrepreneurial ecosystems and organizational legitimacy, the sustainable performance in the high consistency status is higher. Therefore, we suggest that the government, universities, and enterprises should build entrepreneurial ecosystems to promote the sustainability of nonlocal entrepreneurial teams. For nonlocal entrepreneurial teams, organizational legitimacy and strategic flexibility should be enhanced. The presented research adds to the literature by integrating subject and object factors (organizational legitimacy and regional entrepreneurial ecosystem), which has important theoretical significance.
Longjun Liu; Wenhai Wan; Yenchun Wu. How Nonlocal Entrepreneurial Teams Achieve Sustainable Performance: The Interaction between Regional Entrepreneurial Ecosystems and Organizational Legitimacy. Sustainability 2020, 12, 9237 .
AMA StyleLongjun Liu, Wenhai Wan, Yenchun Wu. How Nonlocal Entrepreneurial Teams Achieve Sustainable Performance: The Interaction between Regional Entrepreneurial Ecosystems and Organizational Legitimacy. Sustainability. 2020; 12 (21):9237.
Chicago/Turabian StyleLongjun Liu; Wenhai Wan; Yenchun Wu. 2020. "How Nonlocal Entrepreneurial Teams Achieve Sustainable Performance: The Interaction between Regional Entrepreneurial Ecosystems and Organizational Legitimacy." Sustainability 12, no. 21: 9237.
Car-hailing safety supervision is of great significance to ease the pressure on urban public transportation and facilitate people to travel safely and conveniently. In this paper, a novel tripartite evolutionary game theory is proposed to describe the interaction mechanism of the government supervision department, online vehicle platform security monitoring department, and car sharing owner in the process of China’s Internet ride-hailing operation. The replication dynamics equations are used to elaborate the evolutionary stable strategies of stakeholders and system dynamics are presented to explore the dynamic simulation process of the evolutionary game model, analyze the stability of stakeholder interactions and determines an equilibrium solution. The meaningful simulation results are as follows: there is no stable strategy for the evolution of the three-party selection strategy; the optimized dynamic penalty incentive control scenario can not only effectively suppress fluctuations, but also achieve the effect of obtaining an ideal evolutionary stable strategy. It shows that the cost of government supervision, the platform monitoring and the online hailed car owner can influence the strategy choice of the stakeholders; the government should impose appropriate fines and penalty on the platform and reward car owners, which will help all parties to the game reach a stable state; appropriate punishment-reward factors help the system to reach steady state more easily. These results can provide a theoretical guidance for the government to promote the development of online car-hailing service and establishment of the supervision and management system.
Wenke Wang; Yan Zhang; Lingyun Feng; Yenchun Jim Wu; Tseping Dong. A System Dynamics Model for Safety Supervision of Online Car-Hailing From an Evolutionary Game Theory Perspective. IEEE Access 2020, 8, 185045 -185058.
AMA StyleWenke Wang, Yan Zhang, Lingyun Feng, Yenchun Jim Wu, Tseping Dong. A System Dynamics Model for Safety Supervision of Online Car-Hailing From an Evolutionary Game Theory Perspective. IEEE Access. 2020; 8 (99):185045-185058.
Chicago/Turabian StyleWenke Wang; Yan Zhang; Lingyun Feng; Yenchun Jim Wu; Tseping Dong. 2020. "A System Dynamics Model for Safety Supervision of Online Car-Hailing From an Evolutionary Game Theory Perspective." IEEE Access 8, no. 99: 185045-185058.
It is crucial to actively encourage the development of agriculture green technology, which has been regarded as one of the most effective solutions to the environmental degradation caused by agricultural activities. However, agriculture green technology diffusion is indeed a challenging task and still faces numerous barriers. The stakeholders who can potentially deal with these barriers, however, have been overlooked by previous studies. To address these issues, social network analysis was performed to identify critical stakeholders and barriers. Their interactions in agriculture green technology diffusion were analyzed based on the literature, a questionnaire survey and expert judgments. A two-mode network and two one-mode networks were used to analyze the relationships among the identified 12 barriers and 14 stakeholders who can influence these 12 barriers identified. The results show that agricultural research institutes, universities, agribusiness, agencies of township promotion, the government and farmers’ relatives are key stakeholders and that the limited market demand for green technology and the high cost of its diffusion are two main barriers. However, poor green technology operability and farmer families in distress are factors that are not as important as previously perceived. Finally, some recommendations and suggestions are provided to promote agriculture green technology diffusion in China.
Wenke Wang; Jue Wang; Kebei Liu; Yenchun Jim Wu. Overcoming Barriers to Agriculture Green Technology Diffusion through Stakeholders in China: A Social Network Analysis. International Journal of Environmental Research and Public Health 2020, 17, 6976 .
AMA StyleWenke Wang, Jue Wang, Kebei Liu, Yenchun Jim Wu. Overcoming Barriers to Agriculture Green Technology Diffusion through Stakeholders in China: A Social Network Analysis. International Journal of Environmental Research and Public Health. 2020; 17 (19):6976.
Chicago/Turabian StyleWenke Wang; Jue Wang; Kebei Liu; Yenchun Jim Wu. 2020. "Overcoming Barriers to Agriculture Green Technology Diffusion through Stakeholders in China: A Social Network Analysis." International Journal of Environmental Research and Public Health 17, no. 19: 6976.
A crowdfunding narrative often has a title, abstract, detailed description, reward statements, and the creators' biographies, which carry elements of subjectivity and objectivity in their wordings. The subjectivity and objectivity facets of an entrepreneurial narrative influence the signal's observability, thus affecting the fundraising outcomes. This study contributes to the understanding of the subjectivity versus objectivity debate in economic exchange in online crowdfunding, by examining how and if the crowdfunding outcomes can be better achieved through the deliberate positioning of the subjectivity versus objectivity claims in the various text sections and through carefully determining the prioritization of the subjective and objective contents. This study employs text mining and Bayesian inference to identify and differentiate the subjective and objective attributes in an entrepreneurial narrative. Taking 328,974 campaigns from Kickstarter, from April 2009 to April 2019, we observe a statistical difference between the text sections in a narrative. Some level of objective appeal should reside in the abstract and the reward statement. To court investors, the title, detailed textual description, and biography should be phrased subjectively. For the detailed textual description, the objective contents should be positioned at the start of the narrative, followed by the subjective statements, to enhance the success of online fundraising. Further, the overall prediction accuracy of funding support in the presence of subjective versus objective factors improves by 1.76%, from 76.37%, as shown through machine learning prediction analytics.
Wei Wang; Ling He; Yenchun Jim Wu; Mark Goh. Signaling persuasion in crowdfunding entrepreneurial narratives: The subjectivity vs objectivity debate. Computers in Human Behavior 2020, 114, 106576 .
AMA StyleWei Wang, Ling He, Yenchun Jim Wu, Mark Goh. Signaling persuasion in crowdfunding entrepreneurial narratives: The subjectivity vs objectivity debate. Computers in Human Behavior. 2020; 114 ():106576.
Chicago/Turabian StyleWei Wang; Ling He; Yenchun Jim Wu; Mark Goh. 2020. "Signaling persuasion in crowdfunding entrepreneurial narratives: The subjectivity vs objectivity debate." Computers in Human Behavior 114, no. : 106576.