scholarly journals Getting a Barista Job: Adjudicating the Impact of Human Capital, Social Capital, Age and Gender

2020 ◽  
Vol 4 (3) ◽  
pp. 139-152
Author(s):  
Ed Collom
Keyword(s):  
Higher Education ◽  
Social Capital ◽  
Human Capital ◽  
Educational Attainment ◽  
High Status ◽  
Capital Social ◽  
Age And Gender ◽  
Entry Level ◽  
And Gender ◽  
The Impact

This study concerns the role of human capital, social capital, age, and gender in acquiring a job as an entry-level barista. Employment records were coded and analyzed in order to identify the key factors differentiating this applicant pool. The results from multivariate models produce fewer positive associations between human capital and social capital indicators than the literature suggests. Those with greater educational attainment are more likely to have high-status references on their applications. As seen in previous literature, the social capital of applicants is not very relevant in acquiring this entry-level job. Overall, educational attainment was most salient in increasing the odds of being interviewed and hired. The managers responsible for these decisions appear to favor formal higher education over work experience or references. The findings are discussed vis-à-vis women’s gains in higher education, the growth of the service sector, and the aging of the U.S. population.

scholarly journals SOCIAL CAPITAL AMONG URBAN AGRICULTURE PROGRAM PARTICIPANTS IN KLANG PERDANA SELANGOR, MALAYSIA

2019 ◽  
Vol 2 (10) ◽  
pp. 47-56
Author(s):  
Nur Shuhamin Nazuri ◽  
Nobaya Ahmad
Keyword(s):  
Social Capital ◽  
Urban Agriculture ◽  
Quantitative Research ◽  
Survey Method ◽  
Capital Social ◽  
Age And Gender ◽  
Agriculture Programs ◽  
Preliminary Study ◽  
And Gender ◽  
High Level

The aim of the study is to measure the level of social capital among urban agriculture program participants in Klang Perdana, Selangor. The study employed quantitative research using a survey method. A total of 30 respondents were involved to answer the questionnaire in the preliminary study. The findings were based on the pilot test prior to the commencement of the actual data collection. The result indicated that the community in Klang Perdana who participated in the urban agriculture program have a high level of social. Analysis using t-test and ANOVA revealed that age and gender variables have a significant effect on their social capital. Social capital was found to be important in increasing the participation of the community in urban agriculture programs.

Predicting entrepreneurial opportunity recognition in higher education: a case from Iran

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hossein Mehdizadeh ◽  
Hesamedin Gholami ◽  
Nematollah Shiri ◽  
Mojgan Khoshmaram
Keyword(s):  
Higher Education ◽  
Social Capital ◽  
Human Capital ◽  
Opportunity Recognition ◽  
Equation Modeling ◽  
Capital Social ◽  
Entrepreneurial Opportunity ◽  
Statistical Population ◽  
Content Type ◽  
Environmental Support

PurposeAlthough extensive governmental efforts have taken place to promote entrepreneurship in Iran, based on global entrepreneurship monitor report, the rate of perceived opportunities among young people, especially those with university education, has dropped. Since the perceived entrepreneurial opportunities are the first and most important step in the entrepreneurship process, this study identified the factors affecting the entrepreneurial opportunity recognition in Iranian higher education.Design/methodology/approachThe statistical population included 127 senior undergraduate students in all majors of agriculture at Ilam University. The sample size was determined by using the Krejcie and Morgan’s (1970) sampling table to be 100 senior undergraduate agriculture students at Ilam University, Ilam province, Iran, selected through a stratified random sampling technique.FindingsThe results showed that the perceived entrepreneurial opportunity among students was moderately low. According to structural equation modeling, the alertness, human capital, social capital and environmental support variables had a positive and significant effect on the entrepreneurial opportunity recognition.Research limitations/implicationsRegarding the research implications, the present study, with providing and testing a model for developing the entrepreneurial opportunity recognition among students in a developing country (Iran) with diverse cultures and values, has improved the literature of entrepreneurship in higher education.Practical implicationsBased on results instructors in higher agricultural education can use active teaching and learning methods, such as creating ideas, experiential and service learning, teamwork and practical work, critical thinking and problem-solving in education. Also, financial, technical and consultative support of instructors and managers in agricultural colleges to implement, launch and commercialize agricultural students' entrepreneurial ideas and projects is needed.Originality/valueThe findings indicated the importance of alertness, human capital, social capital and environmental support on the entrepreneurial opportunity recognition among students. Findings showed that ecological approach could be used to develop students' entrepreneurial opportunity recognition.

scholarly journals The Influence of Human Capital, Social Capital, and Intrinsic Motivation on Work Commitment and their Impact on Employee Performance at PT. Pos Indonesia Central Jakarta Branch

2021 ◽  
Vol 4 (2) ◽  
pp. 103-116
Author(s):  
Suryono Efendi ◽  
Titi Haryati
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Employee Engagement ◽  
Structural Equation ◽  
Employee Performance ◽  
Descriptive Analysis ◽  
Equation Model ◽  
Capital Social ◽  
Business Goals ◽  
The Impact

The purpose of this study was to assess the impact of human capital, social capital and motivation on work engagement and their effect on employee performance. Overall 120 respondents from PT. Pos Indonesia Central Jakarta Branch filled out the survey. The analytical method used is descriptive analysis and structural equation model (SEM). The results show that employee performance, human capital, social capital and the motivation behind them all play a positive and significant role. Finally, work serves as a mediator for employee performance among human capital, social capital, and intrinsic incentives. This research can help managers and organizations identify and manage the quality of existing human resources, encourage employee engagement and thereby improve employee performance and achieve business goals.

SOCIAL CAPITAL, CREDIT CHOICES AND GROWTH IN VIETNAMESE HOUSEHOLD BUSINESSES

2019 ◽  
Vol 24 (03) ◽  
pp. 1950017
Author(s):  
PHUOC VU HA ◽  
MICHAEL FRÖMMEL
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Human Capital ◽  
Income Growth ◽  
Capital Social ◽  
Use Of Resources ◽  
Financing Choices ◽  
Micro Level ◽  
The Impact ◽  
Different Levels

The study provides the impact of social capital on credit choices and growth of household businesses in Vietnam by using a data sample of 3,813 observations. Social capital is considered at different levels: micro for human capital and macro for social networks. It concludes that although both levels of social capital influence credit choices of household businesses, the micro level of social capital plays an important role in improving the household business’s growth, including asset and income growth. The study develops a broader view about the use of resources and financing choices in household businesses in Vietnam. Accordingly, it highlights the importance of social capital from multiple aspects — the household business itself, human capital, social networks and government — on the development of Vietnamese household businesses.

scholarly journals Disease and Gender Gaps in Human Capital Investment: Evidence from Niger's 1986 Meningitis Epidemic

2017 ◽  
Vol 107 (5) ◽  
pp. 530-535 ◽  
Author(s):  
Belinda Archibong ◽  
Francis Annan
Keyword(s):  
Human Capital ◽  
Educational Attainment ◽  
Primary School ◽  
Social Inequality ◽  
Capital Investment ◽  
Human Capital Investment ◽  
Gender Gaps ◽  
And Gender ◽  
The Tropics ◽  
The Impact

This paper examines whether disease burdens, especially prevalent in the tropics, contribute significantly to widening gender gaps in educational attainment. We estimate the impact of sudden exposure to the 1986 meningitis epidemic in Niger on girls' education relative to boys. Our results suggest that increases in meningitis cases during epidemic years significantly reduce years of education disproportionately for primary school-aged going girls in areas with higher meningitis exposure. There is no significant effect for boys in the same cohort and no effects of meningitis exposure for non-epidemic years. Our findings have broader implications for climate-induced disease effects on social inequality.

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

scholarly journals Estimation of liver size for liver transplantation: The impact of age and gender

2004 ◽  
Vol 10 (5) ◽  
pp. 678-685 ◽  
Author(s):  
Alexander Choukèr ◽  
André Martignoni ◽  
Martin Dugas ◽  
Wolfgang Eisenmenger ◽  
Rolf Schauer ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Liver Size ◽  
Age And Gender ◽  
And Gender ◽  
The Impact
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