scholarly journals Predicting Entrepreneurial Intentions among the Youth in Serbia with a Classification Decision Tree Model with the QUEST Algorithm

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1487
Author(s):  
Dejan Djordjevic ◽  
Dragan Cockalo ◽  
Srdjan Bogetic ◽  
Mihalj Bakator
Keyword(s):  
Moving Average ◽  
Classification Tree ◽  
Binary Logistic Regression ◽  
Youth Unemployment ◽  
Developed Countries ◽  
Entrepreneurial Intentions ◽  
Future Research ◽  
Tree Model ◽  
Chi Square ◽  
Entrepreneurial Activities

Youth unemployment rates present an issue both in developing and developed countries. The importance of analyzing entrepreneurial activities comes from their significant role in economic development and economic growth. In this study, a 10-year research was conducted. The dataset included 5670 participants—students from Serbia. The main goal of the study is to attempt to predict entrepreneurial intentions among the Serbian youth by analyzing demographics characteristics, close social environment, attitudes, awareness of incentive means, and environment assessment as potential influencing factors. The data analysis included Chi-square, Welch’s t-test, z-test, linear regression, binary logistic regression, ARIMA (Autoregressive Integrated Moving Average) regression, and a QUEST (Quick, Unbiased, Efficient, Statistical Tree) classification tree algorithm. The results are interesting and indicate that entrepreneurial intentions can be partially predicted using the dataset in this current study. Further, most likely due to the robust dataset, the results are not complementary with similar studies in this domain; therefore, these findings expand the current literature and invite future research.

scholarly journals Youth entrepreneurship development: A review of literature and ten-year research results

2020 ◽  
Vol 10 (2) ◽  
pp. 151-161
Author(s):  
Dragan Ćoćkalo ◽  
Dejan Đorđević ◽  
Srđan Bogetić ◽  
Mihalj Bakator
Keyword(s):  
High School Students ◽  
Youth Unemployment ◽  
Developed Countries ◽  
Future Research ◽  
Solid Base ◽  
School Students ◽  
Youth Entrepreneurship ◽  
Students Attitudes ◽  
The Republic ◽  
Entrepreneurial Activities

Entrepreneurship plays an important role in economic development. Further, the concept of entrepreneurship has been argued as the important factor in overall economic growth. As youth unemployment rates are high both in developing and developed countries, improving the environment for entrepreneurial activities is a necessity as to increase youth entrepreneurship potential. In this paper, the results of ten-year research on youth entrepreneurship are reviewed. In this study 5670 participants-high school students, and university students from the Republic of Serbia, took part. Also, other literature sources were analyzed. The main goal of this paper was identify and determine the potential influence of students' attitudes regarding entrepreneurship and their intention to start a business. The paper analyzes the existing body of literature in order to provide a thoroughly investigated and concisely presented "image" in the domain of youth entrepreneurship. Hence, effectively provide a solid base for future research.

scholarly journals Smartphone-Based Wheel Imbalance Detection

2015 ◽  
Author(s):  
Joshua E. Siegel ◽  
Rahul Bhattacharyya ◽  
Sanjay Sarma ◽  
Ajay Deshpande
Keyword(s):  
Test Data ◽  
Classification Tree ◽  
Excitation Frequency ◽  
Principal Component ◽  
Supervised Machine Learning ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Accelerometer Data ◽  
Tree Model ◽  
Classification Tree Model

Onboard sensors in smartphones present new opportunities for vehicular sensing. In this paper, we explore a novel application of fault detection in wheels, tires and related suspension components in vehicles. We present a technique for in-situ wheel imbalance detection using accelerometer data obtained from a smartphone mounted on the dashboard of a vehicle having balanced and imbalanced wheel conditions. The lack of observable distinguishing features in a Fourier Transform (FT) of the accelerometer data necessitates the use of supervised machine learning techniques for imbalance detection. We demonstrate that a classification tree model built using Fourier feature data achieves 79% classification accuracy on test data. We further demonstrate that a Principal Component Analysis (PCA) transformation of the Fourier features helps uncover a unique observable excitation frequency for imbalance detection. We show that a classification tree model trained on randomized PCA features achieves greater than 90% accuracy on test data. Results demonstrate that the presence or absence of wheel imbalance can be accurately detected on at least two vehicles of different make and model. Sensitivity of the technique to different road and traffic conditions is examined. Future research directions are also discussed.

scholarly journals Recognition of Diabetes in a Multi-ethnic Population: Results from a Nationally Representative Population-Based Study

2021 ◽  
Author(s):  
Kumarasan Roystonn ◽  
Jue Hua Lau ◽  
PV AshaRani ◽  
Fiona Devi Siva Kumar ◽  
Peizhi Wang ◽  
...  
Keyword(s):  
Binary Logistic Regression ◽  
Developed Countries ◽  
Population Based ◽  
Study Data ◽  
Chi Square ◽  
Cross Sectional ◽  
Demographic Groups ◽  
Nationally Representative ◽  
Diagnosed Diabetes ◽  
The Unemployed

ABSTRACTBackgroundThe prevalence of diabetes is on the rise in developed countries. Yet discrepancies exist in reports regarding the level of knowledge of diabetes. This study evaluates the recognition of diabetes among residents in the Singapore population. Sociodemographic characteristics associated with the ability to correctly recognise diabetes were also examined.MethodsThis was a nationwide cross-sectional vignette-based study. Data were collected from 2895 residents aged 18 years and above through face-to-face interviews, of which 436 are persons with diabetes. Descriptive statistics, chi-square tests, and binary logistic regression were used in the analyses.ResultsIn total, 82.7% (2418/2895) of respondents recognised diabetes correctly. In adjusted models, correct recognition was significantly higher among respondents aged 35-49 years (OR, 1.85; 95% CI, 1.15 to 2.98; P= 0.01), 50-64 years (odds ratio [OR], 2.06; 95% confidence interval [CI], 1.19 to 3.56; P= 0.01), ethnic Malays (OR, 1.39; 95% CI, 1.02 to 1.89; P= 0.04) (vs. Chinese) and persons with diagnosed diabetes (OR, 2.64; 95% CI, 1.38 to 5.08; P < 0.01). Being male (OR, 0.64; 95% CI, 0.46 to 0.90; P < 0.01), ethnic Others (OR, 0.59; 95% CI, 0.37 to 0.93; P < 0.01), and being unemployed (OR, 0.48; 95% CI, 0.25 to 0.92; P= 0.03), were significantly associated with poor recognition of diabetes.ConclusionOverall public recognition of diabetes is high, but the significant gaps in knowledge in certain demographic groups are of concern. Public health interventions aimed at preventing and controlling diabetes should continue to target all members of the population with accurate and appropriate information. Ongoing efforts of diabetes awareness and educational programs need to be improved, particularly for young adults, males, and the unemployed.

scholarly journals Female International Entrepreneurship: Financing Factors of Business Venturing

2021 ◽  
Author(s):  
Sepideh Khavarinezhad ◽  
Paolo Pietro Biancone ◽  
Vahid Jafari-Sadeghi
Keyword(s):  
International Entrepreneurship ◽  
Financial Institution ◽  
Developed Countries ◽  
The United States ◽  
Entrepreneurial Activity ◽  
Future Research ◽  
Strong Impact ◽  
Access To Finance ◽  
Entrepreneurial Activities ◽  
The Impact

Abstract The study explores the influence of financing drivers on female entrepreneurial activity. We study the interaction of financing elements on domestic entrepreneurial activities and the role of financing on female-oriented international entrepreneurship in the United States, Italy and France. We analyse entrepreneurship at the two levels of total entrepreneurial activities (TEA) and export function by applying a logistic regression model and, we hypothesise that financing factors are affected by the motivation of starting business and export activities. The findings reveal that there is a significant and positive relationship between women entrepreneurship and financial institution-fund supporting at the domestic level. They confirm a positive and strong impact of access to finance on women’s entrepreneurial activities in three selected countries. In addition, the positive effect of the perception of entrepreneurship capability (as an indicator for human capital) on access to finance is identified. The research highlights how the different effects of economic freedom led to differences in the management of a company and the associated decision-making of female entrepreneurs. Future research could contribute by comparing financing for women’s entrepreneurship in developing countries compared to developed countries. The study mitigates the large research gap in the female entrepreneurial literature by examining the impact of the relationship between access to finance and women's performance in the international arena. It sheds new light on the concept of female entrepreneurship and the foresight needed for starting an activity.

Entrepreneurial and network knowledge in emerging economies

2016 ◽  
Vol 26 (3) ◽  
pp. 392-409 ◽  
Author(s):  
Vanessa Ratten ◽  
Joao Ferreira ◽  
Cristina Fernandes
Keyword(s):  
Economic Development ◽  
Emerging Economies ◽  
Developed Countries ◽  
Entrepreneurial Intentions ◽  
Future Research ◽  
Content Type ◽  
Knowledge Based ◽  
Business Creation ◽  
New Business ◽  
Entrepreneurial Knowledge

Purpose The purpose of this paper is to examine how entrepreneurs in emerging economies use their knowledge to help create new businesses and increase their profitability in the international marketplace. Emerging economies are playing an increasingly important part in the global marketplace, particularly in terms of how they use knowledge-based resources and entrepreneurial networks. Design/methodology/approach The methodological approach of this paper is to analyse the entrepreneurial processes in emerging economies by using the Global Entrepreneurship Monitor (GEM) to evaluate whether the stage of economic development affects intention rates of individuals to start new businesses. Utilising a panel approach to evaluating entrepreneurial intention from 2009 to 2013, a number of hypotheses are tested to see how entrepreneurial knowledge and network knowledge affect the likelihood to engage in new business activity. Findings These hypotheses are analysed based on the economic development stage of a country. The findings of the hypotheses suggest that entrepreneurial and network knowledge can help determine an individual’s intention to start a business, but although network knowledge is related to economic development, entrepreneurial knowledge is not significant. Research limitations/implications The GEM report is helpful in seeing longitudinal changes in entrepreneurship from emerging economies. This helps increase research interest in emerging economies by encouraging more appropriate policy aimed at increasing new business creation. Practical implications Implications for entrepreneurs and public policymakers in emerging economies are stated, which suggest that it is important to foster entrepreneurship education. Suggestions for future research linking knowledge-based resources and entrepreneurial intentions in emerging economies are also highlighted. Originality/value The findings demonstrate that the propensity of individuals to engage in new business creation in emerging economies is different to those in developed countries because of funding constraints and lack of access to the appropriate skills.

scholarly journals Assessing the likelihood of contracting COVID-19 disease based on a predictive tree model: A retrospective cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247995
Author(s):  
Francesc X. Marin-Gomez ◽  
Mireia Fàbregas-Escurriola ◽  
Francesc López Seguí ◽  
Eduardo Hermosilla Pérez ◽  
Mència Benítez Camps ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Tree ◽  
Care Service ◽  
Classification Tree ◽  
Predictor Variable ◽  
Developed Countries ◽  
Contact Tracing ◽  
Tree Model ◽  
Clinical Variables ◽  
The Impact

Background Primary care is the major point of access in most health systems in developed countries and therefore for the detection of coronavirus disease 2019 (COVID-19) cases. The quality of its IT systems, together with access to the results of mass screening with Polymerase chain reaction (PCR) tests, makes it possible to analyse the impact of various concurrent factors on the likelihood of contracting the disease. Methods and findings Through data mining techniques with the sociodemographic and clinical variables recorded in patient’s medical histories, a decision tree-based logistic regression model has been proposed which analyses the significance of demographic and clinical variables in the probability of having a positive PCR in a sample of 7,314 individuals treated in the Primary Care service of the public health system of Catalonia. The statistical approach to decision tree modelling allows 66.2% of diagnoses of infection by COVID-19 to be classified with a sensitivity of 64.3% and a specificity of 62.5%, with prior contact with a positive case being the primary predictor variable. Conclusions The use of a classification tree model may be useful in screening for COVID-19 infection. Contact detection is the most reliable variable for detecting Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases. The model would support that, beyond a symptomatic diagnosis, the best way to detect cases would be to engage in contact tracing.

Perceptions of Final Year Medical Students about Family Medicine as A Career Choice in Pakistan

2020 ◽  
Author(s):  
Dur-e- Nishat
Keyword(s):  
Medical Students ◽  
Family Medicine ◽  
Medical Profession ◽  
Healthcare Services ◽  
Developed Countries ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Medical College ◽  
Chi Square Test

Background: Family medicine is a field in which complete and detailed set of healthcare services are provided to the patients and their families. In developed countries, freshly graduated students choose family medicine as a priority for their career. However, in Pakistan it is not the case. The present study is undertaken to determine the perceptions of final year medical students’ about Family Medicine as a viable career. Methods: A total number of 504 students participated in the study. This was a cross-sectional study. The study participants were in their final year of medical college. Data was collected using a preapproved questionnaire. Data was entered and analyzed via SPSS version 17 and Chi-Square test was used post-stratification. Results: Only 14.3% (n=72) medical students had heard about Family Medicine. Only 18% (n=92) would select family medicine as a profession. The most frequent rationale for choosing the field of Family Medicine was the variety of patients seen in general practice (55.4% n=51). Conclusion: There is a dire need to focus on increasing awareness about the field of family medicine among medical students. The students should be counseled on the advantages along with the disadvantages of choosing this field as a medical profession.

Prevalence of facemask use among general public when visiting wet market during Covid-19 pandemic: An observational study. (Preprint)

2020 ◽  
Author(s):  
Gobi Hariyanayagam ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Nur Syafina Insyirah Zaimi ◽  
Nor Amirah Abdul Halim
Keyword(s):  
High Risk ◽  
General Population ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Hygiene Measures ◽  
Wet Market ◽  
Medical Grade

BACKGROUND In late December 2019, an outbreak of a novel coronavirus disease (COVID-19; previously known as 2019-nCoV) was epidemiologically linked to seafood and wet animal market in Wuhan, Hubei, China. This event has instigated negative stigma among the general population to view the wet market as a high-risk location for potential transmission of coronavirus. OBJECTIVE This study investigated the prevalence of facemask use among general population visiting the wet market as well as factors contributing to unacceptable facemask practice. Setting The visitors to a district wet market selling range of live or freshly slaughtered animals during COVID-19 pandemic outbreak was observed for facemask practice. METHODS All Individuals visiting the market were observed for the type, category and practice of wearing facemas. Subjects were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main outcome measure Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. RESULTS Among 1697 individuals included in the final analysis, 1687 (99.7%) was observed wearing facemask with 1338 (78.8%) using medical-grade facemask. Among them, 1615 (95.7%) individuals facemask practice was acceptable while the reaming 72 (4.3%) individuals were observed with unacceptable facemask practice. Individuals using medical-grade facemask and high-risk age group are 6.4 times (OR=6.40; 95% CI, 2.00-20.43; p=.002) and 2.06 times practice (OR=2.06; 95% CI, 1.08-3.94; p=.028) more likely to have unacceptable facemask practice respectively. CONCLUSIONS High saturation of facemask among the general population is an adequate indicator of public hygiene measures strategy which can help to mitigate the COVID-19 epidemic impact. Alarmingly, the unacceptable facemask practice among high-risk population raises the need for a targeted approach by healthcare authorities to ensure satisfactory facemask use.

Hubungan Budaya Organisasi dengan Intensi Turnover di Rumah Sakit Awal Bros Batam

2019 ◽  
Vol 4 (3) ◽  
pp. 464
Author(s):  
Endang Sulastri ◽  
Yulastri Arif ◽  
Utari Christhya Wardhani
Keyword(s):  
Organizational Culture ◽  
Interpersonal Relationships ◽  
Turnover Intention ◽  
Random Sampling ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Good Communication

<p>Intensi turnover pada institusi pelayanan kesehatan merupakan masalah serius dan harus segera ditindaklanjuti, karena akan berdampak terhadap kualitas sumber daya manusia yang dapat mempengaruhi dalam pemberian pelayanan kesehatan kepada pasien. Intensi turnover di Rumah Sakit  Awal Bros Batam sejak lima tahun terakhir diatas standar rata-rata turnover dan Rumah Sakit belum mempunyai stategi yang efektif untuk mencegahnya. Tujuan penelitian ini untuk menganalisis hubungan budaya organisasi dengan risiko intensi turnover di Rumah Sakit Awal Bros Batam. Metode penelitian menggunakan desain kuantitatif dengan cross sectional study. Pengambilan sampel kuantitatif menggunakan kuesioner berdasarkan proposional random sampling, Chi Square dan Uji Regresi Logistic Berganda (Binary Logistic). Hasil penelitian menunjukkan bahwa budaya organisasi di Rumah Sakit Awal Bros Batam  mempunyai hubungan yang bermakna dengan intensi turnover dengan nilai pValue 0.005. Saran yang dapat diberikan peneliti adalah  menciptakan suasana kerja yang kondusif dengan menjaga hubungan interpersonal dan komunikasi yang baik antar karyawan maupun atasan.</p><p> </p><p>The intention of turnover in health care institutions is a serious problem and must be followed up immediately, because it will have an impact on the quality of human resources that can affect the delivery of health services to patients. The intention of the turnover in Batam Awal Bros Hospital since the last five years is above the average turnover standard and the Hospital does not yet have an effective strategy to prevent it. The purpose of this study was to analyze the relationship between organizational culture and risk of turnover intention at Awal Bros Batam Hospital. The research method uses quantitative design with cross sectional study. Quantitative sampling using a questionnaire based on proportional random sampling, data processing using the mean, Chi Square and Binary Logistic Regression Test. The results showed that the organizational culture in Batam Awal Bros Hospital had a significant relationship with turnover intention with a pValue 0.005. Suggestions that can be given by researchers is establish a conducive work atmosphere by maintaining interpersonal relationships and good communication between employees and superiors</p>

scholarly journals How Does the Appeal of Environmental Values Influence Sustainable Entrepreneurial Intention?

2021 ◽  
Vol 18 (3) ◽  
pp. 1070
Author(s):  
Huatao Peng ◽  
Bingbing Li ◽  
Chen Zhou ◽  
Bert M. Sadowski
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Meta Analysis ◽  
Environmental Values ◽  
Entrepreneurial Intention ◽  
Equation Model ◽  
Entrepreneurial Intentions ◽  
Personal Attitude ◽  
Entrepreneurial Behaviour ◽  
Entrepreneurial Activities

Global challenges posed by climate change and environmental deterioration are increasingly driving entrepreneurship with sustainable entrepreneurial intention as a key driver in predicting entrepreneurial activities. Together with experience, the environmental values of an entrepreneur are vital for sustainable entrepreneurial intention. However, the extent to which experience is a key factor to start up a sustainable enterprise is still rather unclear. To study the role of experience, we derive from the theory of planned behaviour three factors (personal attitude, social norm and self-efficacy) to examine their impact on environmental values and sustainable entrepreneurial intention. Based on a meta-analysis, the overall directions and effect intensity of the different factors in this relationship can be investigated. We develop a structural equation model to explore the mechanism behind the interaction between the different variables. We utilize information from 37 scientific articles using 40 empirical samples, 117 effect sizes and 192,015 observations. We found that environmental values are indeed positively related to a sustainable entrepreneurial intention. Furthermore, the relationship between environmental values and sustainable entrepreneurial intention is moderated by experience, as well as personal attitude, social norms and self-efficacy. In addition, environmental values are more positively related to the intention to set up a sustainable venture for entrepreneurs with low-experience compared to those entrepreneurs with high-experience. For policy makers and managers, it becomes important to stimulate environmental values to promote sustainable entrepreneurial intentions in order to stimulate the growth of sustainable enterprises. By enhancing these three factors, sustainable entrepreneurial behaviour can be facilitated by increasing entrepreneurs’ sustainable intention.

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