• Journal of Digital Convergence
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• v.16 no.3
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• pp.181-187
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• 2018

With a view to deepening the research stream on the factors positively influencing the export growth and the employment increase of South Korean small and medium companies, this research has developed the research model about the impact of small and medium companies' external technology R&D collaboration network heterogeneity on their export growth and employment increase, and has empirically tested the research model with the 2,200 data collected from the small and medium companies in the South Korea. This study illuminates the two points from the empirical testing results. One point is that small and medium companies' external technology R&D collaboration network heterogeneity significantly and positively influences their employment increase from technology development. The other point is that small and medium companies' export growth from technology R&D partially mediates the impact of the external technology R&D collaboration network heterogeneity on their employment increase from technology R&D.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.141-163
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• 2008

Technology transfer from public research institutes is receiving an ever increasing importance in today's fast growing economy. Many factors have been cited as influencing the transfer performance. This study is focused on the strategy of institutes which is characterized by technology strategic factors and organizational/institutional factors. Methodologically, the technology strategy is represented by the information contained in applied patents, and the performance of technology transfer is indicated by the number of licensing contracts and royalty income. To further improve the contribution of public research institutes through technology transfer, I argue that individual institutes become more specialized in specific field and become more open to collaboration. It is also recommended that public research institutes gather together since it is easy to form the consortium of technology licensing office and it is not necessary to be located near the industrial field.

• Journal of Preventive Medicine and Public Health
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• v.51 no.3
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• pp.154-162
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• 2018

Objectives: Early retirement occurs when one's job satisfaction suffers due to employment mismatch resulting from factors such as inadequate compensation. Medical doctors report high levels of job stress and burnout relative to other professionals. These levels are highest among emergency physicians (EPs), and despite general improvements in their working conditions, early retirement continues to become more common in this population. The purpose of this study was to identify the factors influencing EPs intention to retire early and to develop a probability equation for its prediction. Methods: A secondary analysis of data from the 2015 Korean Society of Emergency Physicians Survey was performed. The variables potentially influencing early retirement were organized into personal characteristics, extrinsic factors, and intrinsic factors. Logistic regression analysis was performed to identify risk factors and to develop a probability equation; these findings were then arranged in a nomogram. Results: Of the 377 survey respondents included in the analysis, 48.0% intended to retire early. Risk factors for early retirement included level of satisfaction with the specialty and its outlook, slanderous reviews, emergency room safety, health status, workload intensity, age, and hospital type. Intrinsic factors (i.e., slanderous reviews and satisfaction with the specialty and its outlook) had a stronger influence on early retirement than did extrinsic factors. Conclusions: To promote career longevity among EPs, it is vital to improve emergency room safety and workload intensity, to enhance medical professionalism through a stronger vision of emergency medicine, and to strengthen the patient-doctor relationship.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.53-65
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• 2017

Objectives : The purpose of this study was to explore and describe the factors related to clinical nurses' organizational socialization, process and to find out the strategic information for successful organizational socialization. Methods : Data were collected with a structured questionnaires from 300 clinical nurses. The data were analyzed with SPSS/WIN 21.0. Results : First, the average score for the organizational socialization($2.95{\pm}0.37$), organization climate($3.28{\pm}0.43$), autonomy($3.23{\pm}0.43$), role stress($3.21{\pm}0.56$), professional self-concept($3.19{\pm}0.46$), organization value internalization($3.11{\pm}0.59$), and perceptional justice($2.91{\pm}0.50$). Second, influencing factor of organizational socialization of the participant were organizational climate, role stress, professional self-concept, Job esteem, Living arrangement type, collaboration between medical professionals in hospital, the other hospital work experience, role model or Mentor, total hospital career, perceived health status, spouse, perceptional justice, Adjusted $R^2=.702$. Conclusions : These results suggest that organizational socialization of clinical nurses could be enhanced by organizational climate. Thus creating a positive organizational climate are mandated for clinical nurses to have constructive organizational socialization.

• Asian Journal for Public Opinion Research
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• v.11 no.1
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• pp.54-74
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• 2023

This study examined the subcomponents of the local environment that have an important influence on the life satisfaction of people living in single-person households and analyzed how the causal relationship between these variables differs between generations. Specifically, the local environment was classified into the following subcomponents: convenience, comfort, safety, healthcare, and neighborhood relationships. This study analyzed the data of 3,260 respondents from single-person households in the 2020 Residents' Quality of Life Survey in Gyeonggi Province. As a result, it was found that the perception of all subcomponents of the local environment had a positive effect on the life satisfaction of people in single-person households. The effect of neighborhood relationships was relatively large compared to other subcomponents. Next, the influencing factors on life satisfaction of people in single-person households showed differences between generations, which were defined by this study as youth (under age 35), middle-aged (35-64), and elderly (65 and older). Convenience and safety for the youth group and neighborhood relationship for the middle-aged group were most important. The elderly group was most affected by healthcare. The proportion of single-person households worldwide, including in Korea, is gradually increasing, and considering this, this study provides important policy implications.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.305-315
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• 2021

This study aimed to investigate the influencing factors of stress response, immediacy, emotional intelligence on converged nursing performance in Nurses. The Participants were 180 nurses who had worked at general hospitals without COVID-19 patients in B city. The data were collected by structured questionnaires of stress response, lack of premeditation, emotional intelligence, nursing performance. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients and multiple regression with SPSS 21.0 program. The results showed that use of emotion(β=.31~.39) is the highest significant influencing factors on nursing process skills, leadership, education and collaboration of nursing performance explaining 48.2% of the regression model in this study. And then age(β=-.29~.30), other's emotion appraisal(β=.17~.23) and current position(β=.19) are significant in order. Therefore, it is necessary to develop and apply the intervention programs that improve nurses' emotional intelligence for improving nursing performance.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.211-221
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• 2016

The rapid trends toward outsourcing and collaboration have created complex multi-tier supply chains for construction and engineering industries. Working with suppliers and sub-suppliers requires continuous integration activities in order to maximize the performances of the entire supply chain. The purpose of this study is to identify the factors influencing the performances and long-term business relationship of second-tier suppliers in directed sourcing environment. This study proposes the asset specificity, trust, information-sharing and collaboration, as antecedents variables, and collected the survey responses from the second-tier suppliers in rebar manufacturing works. The statistical results indicate that the asset specificity, trust, information-sharing and collaboration have significant influences on the long-term business relationship of rebar manufacturing second-tier suppliers, but trust has no impact on the performances of second-tier suppliers at 5% significance level. Practical implications are also discussed.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.271-277
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• 2021

Companies are actively engaged in various innovation activities and intellectual property rights activities such as patents in order to survive in a fiercely competitive global environment. The purpose of this study is to understand the factors that influence corporate patent-related activities on business results. For this reason, we conducted a questionnaire survey of patent practitioners and R & D personnel of Chinese companies, and analyzed the causal relationship using PLS analysis tools. As a result of the analysis, it was found that compensation and obstacle factors have a significant effect on information sharing (collaboration)... It was found that information sharing (collaboration) has a significant impact on technology complementation (improvement) and corporate image. It was also found that technical complementation (improvement) and corporate image have an impact on management results. The results of this study will be able to find and strategically utilize the factors that promote and encourage companies to develop their patent activities.

• Industry Promotion Research
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• v.8 no.3
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• pp.37-50
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• 2023

The purpose of this study is to study the impact of knowledge sharing behavior, self-efficacy, team collaboration, and job autonomy on organizational innovation among the smart work characteristic factors for members of small and medium-sized venture companies, and to study the differences according to generation/digital literacy level. It is to provide implications so that it can be reflected in the organizational innovation of venture companies. As a result of the analysis, it was found that knowledge sharing behavior and team collaboration had an effect on organizational innovation, while self-efficacy and job autonomy did not affect organizational innovation. In addition, as a moderating effect, it was confirmed that there were differences in self-efficacy and team collaboration according to the level of digital literacy, and differences in knowledge sharing behavior, self-efficacy, and team collaboration by generation. Therefore, in this study, we identified important influencing factors for organizational innovation according to changes in the smart work environment of small and medium-sized venture companies, and suggested ways to secure corporate competitiveness. It suggests that organizational innovation can be strengthened only by confirming the relationship between organizational innovation and finding ways to develop and utilize differentiated capabilities.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.158-168
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• 2017

As the big data technologies advance, there is an increasing interest in systematic methodologies for data-based policy determination especially in the public health area. This study proposes a method to develop an issue detection model through the collaboration with domain experts in order to intelligently detect major socio-national issues on infectious diseases based on data. At first, the factors influencing the 'domestic inflow of foreign infectious diseases' are determined and variables representing the factors are set. Thereafter, by using system dynamics methods, the causal analysis is made to find causal map indicating main influential factors. In this process, an empirical modeling is conducted through collaboration between data analysts and experts in the infectious disease domain. The proposed issue detection approach based on domain knowledges will make it possible to make a decision on policies more efficiently if the detection system is capable of continuos monitoring of the related issues.