• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.4
• /
• pp.197-212
• /
• 2019

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

• The Journal of the Korea Contents Association
• /
• v.14 no.9
• /
• pp.153-163
• /
• 2014

This study examines how online community activity influences social capital and the moderating effect of personal characteristic between them. Hierarchical regression and two-way ANOVA analysis were conducted with 9,479 samples. The results show that online community activity positively associated with off-line social capital, and it is observed that the effect in older people is stronger than younger people. This study extends previous perspective on the online community activity toward social capital and empirically proves that the activity have also an impact on off-line social capital. The moderating effect of age implies that activation plans of community for older people are required in order to increase social capital.

• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.643-651
• /
• 2018

The purpose of this study is to explore which factor influences on the happiness of full-time contingent worker at workplace. The study used the data of 12th Korean Education Employment Panel(KEEP), and occupied hierarchical multiple regression analysis to examine which factor affected their happiness in particular focused on job satisfaction and work characteristics of them. The results of the study showed firstly, work satisfaction and communication in workplace impacted on employees' happiness. Secondly non-regular worker's own education and skill affected on happiness, and also clearly communication and work satisfaction impact on their happiness as well as regular workers. Finally the research recommended that organization should analyze job related knowledge and skill their contingent employees hold before allocating them and help their happiness in order to organization's productivity and value creation.

• The Journal of the Korea Contents Association
• /
• v.19 no.12
• /
• pp.502-516
• /
• 2019

The objectives of this study were to understand the relationship between the self-leadership of clinical nurses, nursing organizational culture and nursing performance and identify factors influencing nursing performance. Data were collected from 242 nurses working at H hospital in A Metropolitan City. Data were gatherd collected from Oct 17 to Oct 23, 2016, and analyzed using SPSS 21.0 program. The analysis results showed that several demographic characteristics (i.e., age, marital status, educational level, position, clinical experience and clinical experience in the current department) significantly affected nursing performance. The results of hierarchical multiple regression analysis revealed that clinical experience in the current department and self-expectation are influencing factors in nursing performance and they explained 35.7% of the variance. In order to improve nursing performance, it is necessary to maintain the clinical experience in the current department and develop education programs for enhancing self-expectation of nurses.

• The Journal of the Korea Contents Association
• /
• v.16 no.12
• /
• pp.761-771
• /
• 2016

This study is significant for its proposed health care quality improvement methods to study the relationship between the medical service quality and customer loyalty in the regional hub public hospital. The subjects were selected 604 people who visited the regional hub public hospital to customers from June 9 to June 30, 2014 as the final survey. The analysis was conducted hierarchical regression analysis to identify factors affecting the reliability factor analysis and customer loyalty. In conclusion showed that accessibility factors affecting customer loyalty, awareness hospital, the perceived value of cost-effectiveness, human services on a significant impact. The regional hub public hospitals by focusing efforts I have a continuity of customer care through constant management in order to provide quality health care, increase the frequency of use and loyalty are needed.

• Journal of Convergence for Information Technology
• /
• v.10 no.2
• /
• pp.126-137
• /
• 2020

The purpose of this study is to analyze the impact factors on the happiness of teenagers using local children centers. To this end, 424 people were sampled and hierarchical regression methods were used using data from the 10th year of the Korea Children's Center Panel Study. The results are as follows. First, self-esteem and peer relation and service help in adolescents are found to have a static effect on happiness, of which self-esteem has the highest impact. Second, adolescent depression and negative parenting attitude have been shown to have a negative effect on happiness, and depression has a stronger negative impact than parents' negative parenting attitude. Accordingly, this study aims to highlight positive factors of influence and suggest alternatives for applying them to local children centers by developing various programs that can reduce negative factors in order to enhance the happiness of adolescents.

• Journal of Convergence for Information Technology
• /
• v.10 no.7
• /
• pp.207-214
• /
• 2020

This study conducted a questionnaire survey on 155 dental hygienists in Busan, Gyeongnam to understand the effect of dental hygienists' job identity on job retention. The study was conducted after being reviewed by the Research Ethics Review Committee (1041449-201912-HR-003). For data analysis, hierarchical regression analysis was carried out to check the effect of three details of job identity on job retention step by step. As a result, among the details of job identity, there was an influence on job retention in the order of empathy for the job (β=.358, p<.001), relationship between job and individual (β=.562, p<.001), and work and unity (β=.562, p<.001). Therefore, it is judged that it would be helpful to maintain a job if the educational institution with the Department of Dental Hygiene conducts classes on occupational identity in a more comprehensive sense.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.6
• /
• pp.51-59
• /
• 2015

The advanced T-DMB is the digital broadcasting technique upgrading the T-DMB which has low effective data rate compared with other things. Since it applies the hierarchical modulation, it has maximally twice as much the effective data rate of a T-DMB, so it can provides the video service of high quality and many stations more than a T-DMB. Therefore, the study for DAB service on the AT-DMB environment will be advantageous better than the previous studies for it on the T-DMB environment. So, this paper proposes the method of the channel allocation for DAB service on the Advance T-DMB system environment and presents the results of the interference analysis in order to verify that.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.243-252
• /
• 2020

This study was a descriptive study to determine whether proactivity in problem solving and system thinking are variables affecting the resilience of nursing students. The subjects of this study were 236 students and the data was collected from November 11 to 29, 2019. For data analysis, descriptive statistics, t-test, correlation and hierarchical regression analysis were used. As a result of the study, Proactivity in Problem Solving and system thinking were significantly correlated with resilience. Adaptation of nursing, proactivity in Problem Solving, and system thinking of nursing students were found to be factors affecting their resilience, and they explained resilience at 71.4%. Therefore, in order to strengthen the resilience of nursing students, it is necessary to run a curriculum that includes proactivity in problem solving and system thinking as core nursing competencies.

• Journal of Digital Convergence
• /
• v.18 no.9
• /
• pp.211-219
• /
• 2020

This study was conducted to investigate the effects of communication competence and interpersonal understanding on empathy of nursing students who have experienced fundamental nursing skills course. The subjects of this study were 122 second-year nursing students in a university. Data were collected using a questionnaire from September to December 2018. The data were analyzed by descriptive statistics, correlations and hierarchical regression using the SPSS 22.0 program. Factors affecting empathy were active participation in the practice, communication skills, and understanding of interpersonal. Therefore, In order to improve the empathy of nursing students, it is necessary to introduce a step-by-step empathy education program into the curriculum that can contribute to establishing a device that can induce active participation in practice and contribute to communication and interpersonal relationships.