scholarly journals Youth Underemployment in Sulawesi

2021 ◽  
Vol 4 (1) ◽  
pp. 37
Author(s):  
Ahmad Ayis ◽  
Lilik Sugiharti
Keyword(s):  
Labor Market ◽  
Multinomial Logistic Regression ◽  
Young Population ◽  
Micro Data ◽  
Labor Market Conditions ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Occupational Characteristics ◽  
The Individual

Underemployment provides a picture of the imperfection of the labor market which causes the capacity of the workforce to be unable to be optimally utilized. Many studies state that young workers are very vulnerable to being underemployed. Youth is the driving force of a country's economic development, so the labor problems inherent in youth must be resolved properly. This study aims to analyze the factors affecting underemployment among young people in Sulawesi Island. The data used in this research is SAKERNAS August 2019 data. The method of analysis used is multinomial logistic regression analysis, where the independent variables of this study are variables related to the individual and occupational characteristics of the young population. This research shows that there are differences in the factors that affect underemployment of young men and women, especially in education and business. The weakness of this research is the unavailability of micro data that can describe labor market conditions.

scholarly journals Factors Affecting Childhood Immunisation in Bangladesh

2001 ◽  
Vol 40 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Soma Chowdhury Biswas ◽  
Md. Abu Darda ◽  
Md. Fasiul Alam
Keyword(s):  
Contraceptive Use ◽  
Economic Condition ◽  
Multinomial Logistic Regression ◽  
Important Variable ◽  
Childhood Immunisation ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Mother’S Age ◽  
Age At Birth

This study has examined the coverage of childhood immunisation and tried to identify the factors affecting the acceptance of immunisation practice among children in Bangladesh using the data from Bangladesh Demographic and Health Survey (BDHS) 93-94. Results from multinomial logistic regression analysis indicate that education, occupation, household economic condition, mother’s age at birth, sex of child, mother’s TT immunisation acceptance, mother’s health facility visit, health worker’s visit to mothers, and contraceptive use are the independent variables that have statistically significant association with immunisation acceptance. The most important variable identified is the health worker’s visit to mothers.

scholarly journals PLANLI DAVRANIŞ TEORİSİ ÇERÇEVESİNDE GİRİŞİMCİLİK NİYETİNİ ETKİLEYEN FAKTÖRLER

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Özlem BAHADIR ◽  
Ahmet Ferda ÇAKMAK
Keyword(s):  
Self Efficacy ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Intentions ◽  
Factors Affecting ◽  
Independent Variables ◽  
Entrepreneurial Behaviour ◽  
Planned Behavior Theory ◽  
Regional Basis ◽  
The Individual ◽  
Research Show

In this research, the factors affecting an individual’s ‘entrepreneurial intention’, which is a significant indicator of whether the individual will start a new enterprise, are examined within the Planned Behavior Theory. The main purpose of the research is to state what the determinants of entrepreneurial intention are. The study aims to contribute to answering the question, ‘Who can be the potential entrepreneurs in Turkey’ by presenting the factors having an impact on entrepreneurial intention on a regional basis through Zonguldak example. The roles of the research's independent variables (attitude, subjective norm, perceived behavioural control, entrepreneurial self efficacy) on entrepreneurial intentions were tested on 229 trainees participating voluntarily in Applied Entrepreneurship Trainings organized by KOSGEB in Zonguldak and its towns. The results of the research show that attitudes towards entrepreneurial behaviour, perceived entrepreneurial control, entrepreneurial self-efficacy and subjective norms are influential on the entrepreneurial intention of the individual.

scholarly journals Investigating the Demographic Characteristics of Institutional Investors Affecting Representativeness, Conservatism and Overconfidence Biases in their Individual Investments

2021 ◽  
Vol 13 (1) ◽  
pp. 15
Author(s):  
Idil Ozlem Koc
Keyword(s):  
Regression Analysis ◽  
Marital Status ◽  
Institutional Investors ◽  
Linear Regression Analysis ◽  
Significant Variable ◽  
Factors Affecting ◽  
Independent Variables ◽  
Survey Questions ◽  
Education Levels ◽  
The Individual

This study aims to identify the factors affecting representativeness, conservatism, and overconfidence biases in a sample of Turkish institutional investors. In difference to other studies, especially the individual investments of institutional investors in capital markets are focused on. The respondents who are selected with the method of convenience sampling are asked survey questions. In the study, models are formed with the stepwise method using linear regression analysis, and survey questions that are assumed to represent the examined biases are selected as the dependent variable. The age, gender, marital status, education, whether or not having children, and experience of institutional investors are included in the analysis as the independent variables. This way, which of the independent variables that are found to be statistically significant and the subcategories of these independent variables are most influential on the biases is revealed. As a result of the analysis, in addition to determining the variables that affect a single bias, it is understood that the variable of education level affects all examined biases, and especially the effect of low education levels on the examined biases is higher. In the regression analysis, experience is identified as a significant variable affecting representativeness and conservatism biases. It is observed that especially the institutional investors who are inexperienced or less experienced interact with these two biases more in their decisions related to their individual investments. Gender is found to be significant variable on both conservatism and representativeness biases, especially it was understood that female institutional investors were more effective than men on the representativeness and conservatism bias. Furthermore, it is determined that the marital status variable and the divorced institutional investors as a subcategory of this variable are significantly influential on conservatism and overconfidence biases.

scholarly journals ANALYSIS OF BITCOIN'S IMPACT ON USERS AND THEIR IMPACT ON THE VALUE OF THE RUPIAH AND THE ROLE OF THE GOVERNMENT IN THE PRESENCE OF BITCOIN

2021 ◽  
Vol 2 (2) ◽  
pp. 337-345
Author(s):  
Cut Nova Rianda
Keyword(s):  
Multinomial Logistic Regression ◽  
Financial System ◽  
Secondary Data ◽  
Role Of Government ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
State Management ◽  
The World ◽  
The Government

Bitcoin has a peer to peer system that is in contrast to financial system by eliminating third parties in transactions. Countries in the world have different positions on Bitcoin, there are countries that are accept, reject or not both, so that understanding is needed more in depth to the factors that determine the position of the country above Bitcoin. This study aims to look for the influence of the development of Bitcoin, the performance of fiat money and the governance systems of countries in the world in determining its position on the legality of Bitcoin. Theories and concepts used inside this research is the international financial system and the state management system; with a quantitative approach as well as multinomial logistic regression analysis supported with secondary data. The results of the analysis in this study revealed that of the nine factors affecting the country's top position Bitcoin; it's just that the significance is different. Influencing Factors significant in determining the country's position on Bitcoin are factors political and economic factors have no significant effect. So it can be said that state acceptance of Bitcoin tends to be caused political reasons compared to the economy, even though Bitcoin itself is located on economic aspects. If Bitcoin acceptance is legalized, then the countries in the world still must accompany the role of government because Bitcoin is judged not to have clear rules and potentially detrimental to others.

An Evaluation of the Factors Affecting Failure of the Procedure in reoperated Thyroidectomies: A Retrospective Analysis

2022 ◽  
pp. 000313482110234
Author(s):  
Bülent Çomçalı ◽  
Buket A. Özdemir ◽  
Hakan Ataş ◽  
Egemen Özdemir ◽  
Deniz Tikici ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Lesion Size ◽  
Nerve Damage ◽  
Signal Loss ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Surgical Success ◽  
Negative Effect ◽  
Surgical Failure ◽  
Residual Tissue

Background The aim of this study was to determine the factors affecting procedure failure in revision thyroidectomy surgery. Methods A total of 148 patients applied with revision surgery were separated into 2 groups according to the surgical success status. Comparisons were made of the 2 groups of patients where residual tissue was totally excised (Group 1, n:132) and patients where residual tissue could not be completely excised (Group 2, n:16). The patients were examined in respect of factors affecting the success of the procedure. Results The patients comprised 133 (89.9%) females and 15 (10.1%) males with a mean age of 49.68±12.02 years. Surgical failure was observed in 7 patients as the lesion could not be determined despite the use of intraoperative USG, and in 9 patients because of weak signal or signal loss. The determination of residual tissue ≤25mm on preoperative USG examination was seen to have a significant negative effect on surgical success (r=-0.329, p0.001). The patient having undergone ≥3 previous operations was determined to have a negative effect on surgical success (r=-0.229, p=0.005), and nerve damage on the opposite side to the lesion in a previous surgical procedure was determined to be the most important factor with a negative effect on surgical success (r=-0.571, p<0.001). In multinomial logistic regression analysis of the factors affecting success, the preoperative presence of nerve damage in the contralateral lobe to the lesion (OR: 33.11, 95% CI: 4.22-192.28, p<0.001) and lesion size ≤25 mm (OR: 10.10, 95% CI: 3.54-75.01, p=0.001) were determined to contribute significantly to surgical failure. Conclusion The results of this study clearly showed that as residual tissue size ≤25mm and contralateral nerve damage in the preoperative ultrasonographic evaluation are associated with surgical failure, alternative treatment methods such as radioactive iodine ablation may be preferred in these patients.

Prediction and categorization of fabric drapability for 3D garment virtualization

2020 ◽  
Vol 32 (4) ◽  
pp. 523-535
Author(s):  
Jimin Kim ◽  
Yun Jeong Kim ◽  
Myounghee Shim ◽  
Youngmin Jun ◽  
Changsang Yun
Keyword(s):  
Mechanical Properties ◽  
Design Methodology ◽  
Multinomial Logistic Regression ◽  
Simulation System ◽  
Content Type ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Bending Property ◽  
Group A ◽  
Time Savings

PurposeThis study aims to create a classification system enabling users of 3D virtualization software to intuitively perceive the drapability of fabrics.Design/methodology/approach1,001 fabrics were used, and thickness, bending property, and tensile strength were identified as main mechanical properties influencing drapability; they have been set as independent variables in the model established to predict drape coefficient.FindingsA system to classify fabrics into eight groups by drapability was suggested by a cluster analysis, and a multinomial logistic regression analysis was used to set a model that allows users to predict which group a fabric belongs to from its mechanical properties.Originality/valueThis paper provided basic materials for the construction of a virtual clothing simulation system, which is believed to contribute to cost and time savings in decision-making by reducing the number of trials and errors required by the conventional approach.

scholarly journals ANALYSIS OF FACTORS AFFECTING INTERNATIONAL BANKING ACTIVITIES: A FOCUS ON THE TRANSACTIONS OF ISLAMIC INTERNATIONAL TRADE FINANCING Case Study in XYZ Islamic Bank

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Puspita Puspita
Keyword(s):  
International Trade ◽  
Multinomial Logistic Regression ◽  
Secondary Data ◽  
Primary Data ◽  
International Banking ◽  
Trade Finance ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Islamic Bank ◽  
Trade Financing

This research aims to analyze the factors affecting international banking activities,especially the transactions of Islamic International Trade Financing (case studyin XYZ Islamic Bank). Multinomial Logistic regression analysis was used in thisstudy. The independent variable consisted of capability of human resources, customers’ needs of Islamic International Trade Financing (IITF) facilities and product divercification of Islamic International Trade Finance. Meanwhile, the dependent variable was the Islamic International Trade Financing activities at XYZ Islamic Bank. This study used both primary and secondary data where primary data collected from questionnaire survey of 70 respondents and secondary data from various literatures. The result showed that the factor that significantly affected the Islamic International Trade Financing was the custumers’ needs of Islamic International Trade Financing. The other two factors did not significantly affect the Islamic International Trade Financing at XYZ Islamic Bank. The influence of customers in increasing Islamic International Trade Financing at XYZ Islamic Bank was the active customers which had opportunity 6.024 times higher than the passive customers in affecting Islamic International Trade Financing at XYZ Islamic bank. Recommendation from this study is encouraging the consumer to enhance international trade finance transaction to be more recognize the characteristics of XYZ Islamic Bank consumer. This way would be change passive consumer become active consumer.

Factors Affecting the Supply of Accounting Graduates

2004 ◽  
Vol 19 (4) ◽  
pp. 443-467 ◽  
Author(s):  
Mary Jo Billiot ◽  
Sid Glandon ◽  
Randy McFerrin
Keyword(s):  
Labor Market ◽  
Market Model ◽  
Master's Level ◽  
Academic Preparedness ◽  
Labor Market Conditions ◽  
Factors Affecting ◽  
Baccalaureate Degrees ◽  
Entry Level ◽  
Incoming Freshmen ◽  
Accounting Graduates

We use a cobweb model to construct a labor market model that can be used to analyze the impacts of changing labor market conditions on the market for new accounting graduates. These conditions are partitioned into macroeconomic and academic-specific changes. We find that 73.2 percent of the decline in the number of accounting baccalaureate degrees since 1990 can be explained by such factors as the decline in the relative salaries of entry-level accountants, the decline in academic preparedness of incoming freshmen, implementation of the 150-hour requirement, and increases in freshmen enrollments. Furthermore, we explain 60.1 percent of the observed increase in master's level accounting degrees. This increase can be attributed to a rise in the salary premium associated with earning a master ‘s degree and implementation of the 150-hour requirement.

Analysis of Latent Classes and Factors Affecting them According to the Implementation of a Protection System Against Customer Bullying in Korea

2021 ◽  
Author(s):  
Eun-Mi Beak ◽  
Eun-Hi Choi ◽  
Hye-Sun Jung
Keyword(s):  
Missing Values ◽  
Service Industry ◽  
Multinomial Logistic Regression ◽  
Protection System ◽  
Latent Classes ◽  
Negative Effects ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Number Of Customers ◽  
Worker Monitoring

Abstract Background: Instances of customers bullying employees at the workplace are increasing with the development of the service industry. Korea has established a worker protection system to prevent negative effects of customer bullying on workers’ health. This study identified the latent profile types of protection against customer bullying in workplaces, and determined their predictors.Methods: Data were collected over 28 days, from March 2 to 30, 2020. This study identified whether protection against customer bullying is implemented for workers in person-to-person services, the change effected by this protection, and worker monitoring scope. Data from 1,537 out of 1,550 participants were analyzed, excluding the missing values. Latent classes were identified using Mplus 8.5 for data analysis, and the multinomial logistic regression analysis was performed to review the predictors.Results: The results are as follows. There were four types of latent classes: the lagging type, the medium type, the preventive type, and the excellent type. Variables predicting these types included age, gender, service period, position, occupational category, worker monitoring scope, decrease in the number of customers causing problems, decrease in disputes with customers, and worker satisfaction. Conclusions: First, a system to prevent customer bullying must be adopted in the service industry. Second, there must be a way to improve trust between customers and workers when protective measures are being adopted. Third, managers must establish a system that can both protect workers against bullying and provide customer satisfaction.

scholarly journals The Impact of Rumors on the Individual and Society in Saudi Arabia

2020 ◽  
Vol 55 (3) ◽  
Author(s):  
Hamed Othman Fallatah ◽  
Mohd Al'ikhsan Bin Ghazali ◽  
Ahmed A.A. Shehab
Keyword(s):  
Saudi Arabia ◽  
Quantitative Research ◽  
Modern Society ◽  
Factors Affecting ◽  
Independent Variables ◽  
The Past ◽  
The Social ◽  
The Individual ◽  
The Impact ◽  
Survey Questionnaires

The purpose of this study is to investigate the impact of rumors on both individuals and the society at large in Saudi Arabia. Over the past several decades, the Internet has dramatically changed the manner in which modern society communicates. In particular, online media have altered how rumors are transmitted, from hearing those rumors - ranging from word of mouth among people to misleading online messages. Although the manner in which rumors are circulated has evolved over time, only a few studies have been conducted on the dynamics of how rumor spreads on the social media in Saudi Arabia. It is worthwhile to discuss the impact of rumors on individuals and the society in Saudi Arabia and determine the factors affecting the impact of rumors in Saudi Arabia. In this research study, two variables have been discussed, i.e. dependent and independent variables: the impact of rumors on both individuals and the society at Saudi Arabia, which shows dependency upon independent variables such as Uncertainty, Belief, Motivational Factors and Self-Enhancement. Quantitative research method has been used for this study that entails a total of 200 used survey questionnaires to collect vital information regarding the topic of investigation.

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