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Abstract 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 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.

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.

To analyze the directions for future research suggested and to project future research plans, we extract relevant text from these publications with respect to COVID-19-related research based on 54,136 relevant academic journals published from the initial outbreak of COVID-19 in January 2020 until December 2020. First, we extract and preprocess the corpus and then determine that, according to the Elbow method, the optimal number of clusters is 7. Then, we construct a text clustering model based on an autoencoder, with the support of an artificial neural network. Distance measurements, such as correlation, cosine, Braycurtis, and Jaccard are compared, and the clustering results are evaluated with normal mutual information. The results show that cosine similarity has the best effect on clustering of COVID-19-related documents. A topic model analysis shows that the directions of future research can mainly be grouped into the following seven categories: infectivity testing, genome analysis, vaccine testing, diagnosis and infection characteristics, pandemic management, nursing care, and clinical testing. Among them, the topics of pandemic management, diagnosis and infection characteristics, and clinical testing trended upward in proportion to future directions. The topic of vaccine testing remains steady over the observation window, whereas other topics (infectivity testing, genome analysis, and nursing care) slowly trended downward. Among all the topics, medical research comprises 80%, and about 20% of the topics are related to public management, government functions, and economic development. This study enriches our scientific understanding of COVID-19 and helps us to effectively predict future scientific research output on COVID-19.

Abstract 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.

Based on the service encounter perspective, this study combines theoretical foundations for such factors as service quality and the characteristics of the hospital service industry to develop a research model scale to investigate whether the quality of hospital services affects patients' perceptions of health service encounters, trust, and loyalty. Nowadays, with the advancement of medical technology, patients pay more attention to the quality of medical services and good service encounters provided by healthcare professionals in order to establish positive patient relationships; hospitals need to improve their own service quality and establish good patient trust relationships so that doctor-patient satisfaction and loyalty can be improved. In a review of related literature, this study found that most past studies focused on issues related of quality of medical services and patient satisfaction, but ignored those related to the relationship between medical service encounters and patient trust and loyalty, as well as the lack of scientific measurement markers for service encounters in the Chinese medical service industry. Therefore, this study uses the Service Encounter Perspective and Service Quality Theory Development Research Scale to collect and analyze data for a typical case of a Chinese tertiary hospital. Finally, this study explores the relationship between the four variables of service quality, service encounter, trust, and loyalty by means of a questionnaire and statistical analysis of the data. Finally, it is concluded that the higher the service quality of the hospital, the higher the customer trust, the higher the service encounter, and in the greater the doctor-patient loyalty.

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.

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.

The rapid development of smart cities has raised concerns about residents' emotional well-being (EWB). To enhance EWB when developing smart cities, policy-makers should take residents' perceptions and attitudes into account. How can residents' perceptions about smart city development help promote their EWB? In this paper, we constructed a comprehensive model to explore the effect mechanism of perceived smart city developments on residents' EWB by considering the factors of stress, convenience, and life satisfaction (LS). Using a sample of 428 urban residents in a Chinese smart city, the paper verified the conceptual model by using a structural equation model (SEM) analysis. The results showed that: (1) perceived smart public service (PSPS) can increase EWB by reducing stress; it can also increase EWB by the mechanism of improved LS, brought about by this reduced stress. Perceived smart infrastructure (PSI) will reduce EWB by increasing stress; it can also decrease EWB by the mechanism of reduced LS, brought about by increased stress. (2) Perceived smart public administration (PSPA), PSPS, PSI, and perceived smart environmental protection (PSEP) can enhance EWB via the mechanism of increasing convenience and thereby improving LS. (3) Finally, the statistically insignificant relationship between convenience and LS may be due to the interaction effect of stress and convenience, because the interaction term between convenience and stress has a significant effect on LS, resulting in four insignificant indirect effects involving PSPA, PSPS, PSI, PSEP and EWB vis-à-vis convenience. Overall, this paper contributes to cross-disciplinary research on residents' perceptions with respect to smart city development, and provides guidelines for governmental policy-making in the planning of smart cities.

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 article, 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.

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.

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.

The emergent of medical science and technology has risen the minimally invasive surgery. Da Vinci Robotic Surgical Systems (RSS) is the trend at present. Compared with the past surgical methods, many studies related to RSS tend to explore postoperative outcomes and quality of life or compare the advantages and disadvantages than the other surgery. Few studies to understand the patients' willing who use RSS. This study mainly explores the patients' willingness and adopts the Technology Acceptance Model (TAM) as the theoretical foundation, and appended the trust concept to discuss. The study was a retrospective study and used a structured questionnaire to conduct a survey. The subjects included the patients with single-disease who had used RSS in a Medical Center of Southern Taiwan but excluded the patients with multiple disorder. This study conducted SPSS 22.0 and Smart PLS 2.0 software for statistical analysis, which included descriptive statistical analysis and applied Partial Least Squares (PLS) analysis to test the research model and to examine the established hypotheses. A total of 136 cases were collected in this study. Study validation was tested. Trust positively affects Perceived Usefulness (β = 0.550) and Perceived Ease of Use (β = 0.300). Perceived Ease of Use positively affects Perceived Usefulness (β = 0.188). Perceived Usefulness positively affects Attitude Toward Using (β = 0.589. Attitude Toward Using positively affects Behavioral Intention (β = 0.446. The relationship between perceived Ease of Use and Attitude toward Using was insignificant. Additionally, the relationship between Perceived Usefulness and Behavioral Intention was insignificant. In the research results, we found that patients are mostly in the middle and high age groups, and if the patient himself feels that RSS is extremely helpful to his illness, the intensity of his choice of intention will be high. In comparison, the information related to RSS has been clearly known, it does not directly affect the selection intention. According to age, most of the choices of RSS is based on safety and risk considerations, and it is beneficial to the patient himself, but RSS is also more expensive. We recommended that the government consider ββ reimbursing the RSS process in health insurance programs to meet the needs and expectations of patients.

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.

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.

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.

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.

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.

With a steady increase in the number of vehicles predicted, traffic congestion has become a significant logistical challenge. The increase in traffic not only results in pollution and traffic congestion, but also leads to increased travel time and productivity loss. Thus, traffic prediction has become an important research topic in the academia. In fact, logistics managers are more concerned about predicting short-term traffic conditions than the accuracy of prediction. Therefore, this study used a discrete-time Markov chain and online traffic monitoring data to predict the probability of traffic congestion and identify the freeway bottlenecks. The findings of the study revealed the high probability of National Freeway 3's northern section being non-congested during the morning and afternoon rush hours. However, several bottlenecks were found in the links to nearby urban areas. The results of this study can not only facilitate logistics managers to optimize vehicle routes but can also support transportation control centers with regulating traffic flow in freeways during peak periods.

With the rapid development of computer and communication technology, anticipatory computing has been identified as one of the most important factors affecting human behavioral change. The future of anticipatory computing will not be bright if it fails to provide useful help to human life and work. Anticipatory computing applied to behavioral change intervention (BCI) is full of challenges and is a research topic of increasing interest and importance. This paper provides an overview of the concept of anticipatory computing, BCI, as well as anticipatory computing for the BCI and offers a multistage literature analysis. Also, a systematic analytical framework articulated from the existing literature is presented to reveal the progress and details of anticipatory computing for the BCI. This framework is divided into four dimensions: 1) sensing and context inferring; 2) context prediction; 3) behavioral guidance and intervention, and; 4) application. Based on our literature analysis, 11 elements of anticipatory computing for BCI are identified and discussed in terms of principles, enablers, and activities. Afterward, contributions and possible future directions for research are summarized at the end of this paper.

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.

Workplace stressors were identified to have critical impacts on employee creativity. However, little is known about how and when involuntary citizenship behavior [i.e., compulsory citizenship behavior (CCB)]-induced stress might exert an influence on employee creativity. To fill this knowledge gap, the present study firstly develops a moderated mediation model to investigate the CCB–employee creativity association as well as the underlying mechanism and contextual condition of this relationship. By integrating social cognitive theory such as self-efficacy theory and conservation of resources (COR) theory, we propose that CCB predicts employee creativity through the mediating role of creative self-efficacy (CSE), with the individual characteristics (i.e., personality traits) of negative affect acting as a boundary condition. Using two-wave time-lagged survey data collected from a sample of 251 frontline employees in 10 manufacturing firms in Southern China, the results show that: (a) CSE mediates the negative relationship between CCB and employee creativity; (b) negative affect moderates the relationship between CCB and CSE; (c) negative affect moderates the indirect influence of CCB on employee creativity through CSE. As the level of negative affect rises, this indirect relationship is stronger. Finally, important theoretical and managerial implications and promising avenues for future research are addressed.

Few studies have examined the relationship between personality traits and social networking sites (SNSs) with a dominant concentration on the personality alterations under SNSs influence. The relationship between personality and privacy control was less focused and discussed. In order to figure out the internal mechanism of such link among youth SNSs users, the Theory of Planned Behavior (TPB) was extended by including Five-Factor Model of Personality to explore how personality traits interact with privacy control behavior on SNSs. The investigation using the theoretical method mentioned led to several hypotheses which were later assessed by an online study conducted within randomly chosen college students (N = 201) from two randomly chosen universities in China. This sampling strategy was designed to mimic the situation of targeted research population in the most reasonable way. The results suggested neuroticism and openness predicted SNSs privacy. Neuroticism and openness predicted “networked privacy” was also found. Theoretical implications of these findings were addressed.

The driving factors behind the exploration and search for entrepreneurial intention (EI) are critical to entrepreneurship education and entrepreneurial practice. To reveal in depth the influence of personality traits on EI, our study introduces the opposite of proactive personality—the dark triad that consists of narcissism, psychopathy and Machiavellianism. Our study used the MBA students of Tianjin University as a sample to analyze the relationship between the dark triad, entrepreneurial self-efficacy (ESE) and EI. A total of 334 MBA students aged 24–47 years participated and the participation rate is 95.71%. The data collection was largely concentrated in the period from May 15 to June 5, 2018. From the overall perspective of the dark triad, the results show that the dark triad positively predicts EI, and ESE has a partial mediating effect on the dark triad and EI. From the perspective of the three members of the dark triad, the study found that narcissism/psychopathy has a negative effect on ESE and EI; narcissism/psychopathy has a non-linear effect on EI; Machiavellianism has a positive effect on ESE and EI; and ESE has a mediating effect on the three members of the dark triad and EI. In short, our research reveals that the three members of the dark triad have different effects on EI in different cultural contexts, and the research findings have certain reference value for further improvement of entrepreneurship education and entrepreneurial practice.

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.