• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.19-32
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• 2020

The purpose of this study was to investigate the influence factors of the university level centering on the entrepreneurial performance of the university students and full-time faculties in the situation of increasing interest in entrepreneurial university. In order to achieve the purpose of the study, a panel data was established from 2015 to 2018 on the basis of the university notification data. The panel data included universities with data on the number of university students and full-time faculty founders for at least two years. Through this, four year data from 154 universities were used for analysis. As an analysis method, frequency analysis and descriptive statistics were conducted to understand the characteristics of the university. Since then, panel negative binomial regression analysis has been conducted in consideration of the longitudinal features and distribution of the data. Also, based on the Hausman test results, the results were interpreted based on random effect model. The results of this study are as follows. First, as a result of the analysis of the entrepreneurial performance and the change trend of the domestic university from 2015 to 2018, the entrepreneurial performance of the university has been steadily increasing in the last four years, and the increase in the number of university student entrepreneurs was relatively higher than the full-time faculties. Second, economic and educational approaches need to be combined to promote university students' start-ups. The university factors that promote the start-up of university students were found to be scholarships, start-up grants, startup lectures, and startup clubs. Third, the openness and regional characteristics of the univeristy can promote the establishment of university students. Fourth, the establishment of a research environment and support for start-ups for full-time faculty members can enhance their start-up performance. The university factors that promote the start-up of full-time faculty were research funds and staffes who support start-up. The conclusions drawn from these findings are as follows. First, overall efforts are needed to develop into an entrepreneurial university. Second, in order to change into an entrepreneurial university, direct support for entrepreneurship is needed. Third, as an entrepreneurial university, it is necessary to find a way to bridge the gap by university according to region and size. Fourth, it is necessary to reinforce the support for linking the research results of universities to start-ups. Fifth, it is necessary to improve the atmosphere for full-time faculty members to be entrepreneur.

• Horticultural Science & Technology
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• v.32 no.6
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• pp.887-900
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• 2014

This study was conducted to provide a job analysis for, and assess the job performance of horticultural therapists, as well as examine future educational needs. To this end, a chart developed using the DACUM method was chosen as the appropriate tool for the job analysis of horticultural therapists (Study 1). Based on the chart, a survey using an evaluation form was produced to investigate the current level of job performance and future required level of horticultural therapists (Study 2). A total of 8 duties and 45 tasks were classified to examine job performance, based on analysis of the DACUM Council (Study 1). These duties include A. Decide execution organization for horticultural therapy (HT) program, B. Diagnose and assess clients before starting the HT program, C. Plan HT program, D. Develop HT program, E. Prepare to implement HT program for each session, F. Implement HT program for each session, G. Implement overall assessment for HT program, and H. Develop oneself as a horticultural therapist. Their duties were broken down further into five to eight tasks per duty, totaling 45 tasks. Based on the horticultural therapist job performance sheet developed through this process, an assessment of the current job level of horticultural therapists was performed and future required level were examined (Study 2). The evaluation forms were sent to 779 horticultural therapists with level 1 or 2 certification via email or mail delivery. The analysis of 242 questionnaires (31.1%) revealed that horticultural therapists with level 1 certificates have a significantly higher job performance level for 34 of the 45 tasks. Regarding future required level, 20 out of 45 tasks were assessed as higher for level 1 horticultural therapists than level 2. In addition, a Borich formula was utilized to identify the priority of educational needs for the 45 horticultural therapist tasks. The results revealed the following top three tasks: H1. Receive feedback from the supervisor for the horticultural therapy program; A1. Distribute promotional materials about the horticultural therapy program; and H2. Submit a grant proposal for horticultural therapy program to organizations such as welfare foundations. The results of this study are anticipated to facilitate understanding and improve work conditions for current horticultural therapists or horticultural therapists-in-training. In addition, institutions that train horticultural therapists will be able to use this as basic research to develop a practical training curriculum.

• Journal of dental hygiene science
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• v.17 no.2
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• pp.142-149
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• 2017

This study targeted 123 dental hygienists working at the university and dental hospital as well as the dental clinic in Busan. The study ran for 5 months beginning July 23, 2016. The purpose of the study was to understand the relationship between core competencies and job performance for dental hygienists. The major core competencies of dental hygienists were interpersonal relation competency (3.61) was the highest, followed by management and educational competency (3.59), organizational relation competency (3.57), and basic dental hygiene management competency (3.56). Regarding the subjects' job performance, 'the task requested by a boss could be finished by the deadline' (3.93) was the highest, followed by 'there has been no case where others were harmed owing to carelessness' (3.76). 'The performance exceeding the targets set by the boss' (3.11) was relatively low. The group working for dental hospitals showed higher job performance than the group working for dental clinics (p=0.009) while there were high correlations between core competencies and job performance (p=0.733). Also, analysis for understanding relevant variables of core competencies that affected job performance revealed that the interpersonal relation competency (p=0.25), self-control competency (p=0.32), and basic dental hygiene competency (p=0.15) were significant. In summary, reinforcement of the dental hygienists' core competencies has a positive effect on job performance. Improved job performance in turn should improve patient care as well as the performance of the healthcare organization overall which will be eventually helpful to the provision of high-quality medical service to patients, and helpful for the hospital organization Helpful in making their performance better. Therefore, it would be necessary to establish administrative/educational support to facilitate dental hygiene education to develop major competencies and vocational basic abilities, as well as reinforce diverse competency educational programs for the current dental hygienists.

• 한국사회복지학회:학술대회논문집
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• 2003.10a
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• pp.185-216
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• 2003

This study was aimed at investigating important factors influencing career success among regular workers. The current researcher scrutinized the degree to which variables and factors affect the career success and occupational turnover rates of the research participants. At the same tune, two hypothetical path models established by the researcher were examined using linear multiple regression methods and the LISREL. After examining the differences among the factors of career success, a comparison was made between the disabled worker group and the non-disabled worker group. A questionnaire using the 5-point Likert scale was distributed to a group of 374 workers with disabilities and 463 workers without disabilities. For the data analysis purpose, the structural equation model, factor analysis, correlation analysis, and multiple regression analysis were carried out. The results of this study ran be summarized as follows. First, the results of factor analysis showed important categories of conceptual themes of career success. The initial conceptual factor model did not accord with the empirical one. A three-factorial model revealed categories of personal, family, and organizational factor respectively. The personal factor was composed of the self-esteem and self-efficiency. The family factor was consisted of the multi-roles stress and the number of children. Finally, the organizational factor was composed of the capacity for utilizing resources, networking, and the frequency of mentoring. In addition, the total 10 sub areas of career success were divided by two important aspects; the subjective career success and the objective career success. Second, both research participant groups seemed to be influenced by their occupational types. However, all predictive variables excluding the wage rate and the average length of work years had significant impact on job success for the disabled work group, while all the variables excluding the frequency of advice and length of working years had significant impact on job success for the non-disabled worker group. Third, the turnover rate was significantly influenced by the age and the experience of turnover of the research participants. However, the number of co-workers was the strongest predictive variable for the worker group with disabilities, but the occupation choice variable for the worker group without disabilities. For the disabled worker group, the turnover rate was differently influenced by the type of occupation, the length of working years, while multi-role stress and the average working years at the time of turnover for the worker group without disabilities. Fifth, as a result of verifying the hypothetical path model, it showed that the first model was somewhat proper and could predict the career success on both research participant groups. In the second model, the Chi-square, the degree of freedom (($x^2=64.950$, df=61, P=0.341), and the adjusted Goodness of Fit Index (AGFI) were .964, and the Comparative Fit Index (CFI) were .997, and the Root Mean Squared Residual (RMR) was respectively. .038. The model was best fitted and could predict the career success more highly because the goodness of fit index in the whole models was within the allowed range. In conclusion, the following research implications can be suggested. First, the occupational type of research participants was one of the most important variables to predict the career success for both research participant groups. It means that people with disabilities require human development services including education. They need to improve themselves in this knowledge-based society. Furthermore, for maintaining the career success, people with disabilities should be approached by considering the subjective career success aspects including wages and the promotion opportunities than the objective career success aspects.