Impact of collaborative, entrepreneurship education on the financial risk taken by university students

2022 ◽  
pp. 095042222110682
Author(s):  
Mehmet Tas ◽  
Hayot Berk Saydaliev ◽  
Shirali Kadyrov
Keyword(s):  
Risk Taking ◽  
Financial Risk ◽  
Online Survey ◽  
Statistical Tests ◽  
Entrepreneurship Education ◽  
Entrepreneurship Training ◽  
Collaborative Environment ◽  
Risk Takers ◽  
Definition Of ◽  
Significant Factors

Based on the definition of entrepreneurship, entrepreneurs can be considered as risk-takers. The literature contains conflicting theories as to whether risk-taking can be influenced by external factors. The current paper investigates the effect of entrepreneurship education and collaborative environment on financial risk-taking behavior among university-age young people. To this end, an online survey was conducted involving 510 participants and various statistical tests were utilized to test the research hypothesis. To measure financial risk-taking propensity, the Choice Dilemma Questionnaire methodology was implemented. The results of the analysis reveal that both the level of entrepreneurship education and a collaborative environment increase financial risk-taking. Moreover, multiple linear regression methodology was used to capture the significant factors that influence financial risk-taking when investing alone and investing in a collaborative environment. As a policy recommendation, the authors suggest that an entrepreneurship training curriculum should be developed that incorporates the various activities and elements of a collaborative environment.

scholarly journals International entrepreneurship education for pre-service teachers: a longitudinal study

2020 ◽  
Vol 62 (7/8) ◽  
pp. 825-841
Author(s):  
Arantza Arruti ◽  
Jessica Paños-Castro
Keyword(s):  
Personal Development ◽  
Entrepreneurship Education ◽  
Education Programme ◽  
Short Term ◽  
Language Competence ◽  
Content Type ◽  
Risk Takers ◽  
Current Characteristics ◽  
Definition Of ◽  
The University

PurposeThe purpose of this paper is to explore whether participating in an entrepreneurship education programme with short-term international placements can help pre-service teachers to identifying the characteristics of entrepreneurial competence from a wide definition of entrepreneurship (Lackéus, 2015) rather than from a business centred definition, to be developed by entrepreneur teachers.Design/methodology/approachA three-year longitudinal qualitative study was carried out. In-depth interviews were conducted using open-ended questions with 17 pre-service teachers from the University of Deusto (Spain). They were participating in a European project with short-term international placements at five different European higher education institutions.FindingsThere is no consensual definition of the term entrepreneurship, which varies depending on the context. Entrepreneurship could be considered to be both a mindset and a lifestyle. The characteristics of entrepreneurs that were mentioned the most included: being creative, team players, open-minded, innovative, passionate, motivated, hard-working and risk-takers; being able to overcome challenges; having initiative; being proactive, organised and persevering; having leadership skills, communication skills, the ability to adapt; having a positive attitude and, being decision-makers. Short-term placements contribute to personal development, improved foreign language competence, increased awareness and understanding of other cultures, and acquiring entrepreneurship competence.Originality/valueResearch on the characteristics of teacherpreneurs is still in its early stages. The vast majority of studies focus on entrepreneurs and teachers of entrepreneurship education programmes aimed at those who wish to start up new businesses. This study contributes to a better understanding of the term entrepreneurship, to identifying the current characteristics of teacherpreneurs, and to outline certain variables that could be considered during pre-service teachers training plans. It also proposes further research into in-service teacherpreneur education.

Financial risk-taking and trait emotional intelligence

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Bucciol ◽  
Federico Guerrero ◽  
Dimitra Papadovasilaki
Keyword(s):  
Emotional Intelligence ◽  
Risk Taking ◽  
Financial Risk ◽  
Online Survey ◽  
Well Being ◽  
Gender Effects ◽  
Trait Emotional Intelligence ◽  
Content Type ◽  
Positive Effects ◽  
The Relationship

PurposeThe purpose of this paper is to study the relationship between financial risk-taking and trait emotional intelligence (EI).Design/methodology/approachAn incentivized online survey was conducted to collect the data, including measurements for cognitive ability and socio-demographic characteristics.FindingsThere is a positive correlation between trait EI and financial risk-taking that is at least as large as that between risk-taking and measures of cognitive control (CRT). Trait EI is a key determinant of risk-taking. However, not all components of trait EI play an identical role. In fact, we observe positive effects of well-being, mainly driven by males and sociability. Self-control seems to matter only for males.Research implications/limitationsThis study suffers from the bias of self-reported answers, a common limitation of all survey studies.Practical implicationsThis evidence provides a noncognitive explanation for the typically observed heterogeneity of financial risk-taking, in addition to more established explanations linked to cognitive skills. Investor profiles should be also determined on their trait EI.Social implicationsGovernments should start programs meant to improve the level of trait EI to ameliorate individual wealth outcomes. Female investors participation in the financial markets might increase by fostering their sociability.Originality/valueThe relationship between trait EI and each of its components with financial risk-taking is vastly unexplored, while it is the first time that gender effects are discussed in that set up.

Effects of Social Exclusion on Financial Risk Taking

2013 ◽  
Author(s):  
Rod Duclos ◽  
Echo Wen Wan ◽  
Yuwei Jiang
Keyword(s):  
Social Exclusion ◽  
Risk Taking ◽  
Financial Risk

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

scholarly journals Demographic and psychological predictors of alcohol use and misuse in autistic adults

Autism ◽  
2021 ◽  
Vol 25 (5) ◽  
pp. 1469-1480
Author(s):  
Maya Bowri ◽  
Laura Hull ◽  
Carrie Allison ◽  
Paula Smith ◽  
Simon Baron-Cohen ◽  
...  
Keyword(s):  
Social Anxiety ◽  
Alcohol Use ◽  
Online Survey ◽  
Autistic Traits ◽  
Well Being ◽  
Psychological Predictors ◽  
Autistic Adults ◽  
Mental Well Being ◽  
Shaped Pattern ◽  
Significant Factors

This study explored demographic and psychological predictors of alcohol use and misuse in a high-functioning, community sample of 237 autistic adults aged 18–75 (mean = 41.92 and standard deviation = 13.3) recruited in the United Kingdom. An online survey measured demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use with the Alcohol Use Disorders Identification Test. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) and multinomial logistic regression models were used to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring significantly higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. In multivariate analysis, autistic non-drinkers were less likely to be male (odds ratio = 0.44; 95% confidence interval = 0.22–0.87) and had more autistic traits (odds ratio = 2.50; 95% confidence interval = 1.19–5.28). Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community. Lay abstract Alcohol use and misuse are associated with a variety of negative physical, psychological and social consequences. The limited existing research on substance use including alcohol use in autistic adults has yielded mixed findings, with some studies concluding that autism reduces the likelihood of substance use and others suggesting that autism may increase an individual’s risk for substance misuse. This study investigated demographic and psychological predictors of alcohol use and misuse in a sample of 237 autistic adults. An online survey was used to obtain data on demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) in order to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. Autistic non-drinkers were less likely to be male and had more autistic traits. Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community.

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