• Journal of Digital Convergence
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• v.16 no.6
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• pp.251-258
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• 2018

We study convergent factors to depression(CES-D: Center for Epidemiologic Studies Depression scale) among administrative staff in general hospital. The questionnaire was used using an unregistered self-administered questionnaire for 201 staff from 9 general hospitals located in J area from Jul. 3rd, 2017 to Jul. 29th, 2017. The hierarchical multiple regression analysis shows the following results. The depression of respondents turned out to be significantly higher in following groups: a group in which Rosenberg Self-Esteem Scale(RES) is lower, a group in which Multidimensional Fatigue Scale(MFS) is higher, a group in which Psychosocial Well-being Index Short Form(PWI-SF) are higher. The results show explanatory power of 32.5%. The results of the study indicate that the efforts, to increase RES, and to decrease MFS and PWI, are required to improve the depression among administrative staff in general hospital. These results could be used in organizing human resource management and industrial health education to lower the level of depression in general hospital administration staff. Following studies need to analyze the structural equation model that effects the depression levels of administrative staff in general hospital.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.7C
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• pp.421-427
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• 2011

The importance of the real-time object recognition and tracking field has been growing steadily due to rapid advancement in the computer vision applications industry. As is well known, the mean-shift algorithm is widely used in robust real-time object tracking systems. Since the mentioned algorithm is easy to implement and efficient in object tracking computation, many say it is suitable to be applied to real-time object tracking systems. However, one of the major drawbacks of this algorithm is that it always converges to a local mode, failing to perform well in a cluttered environment. In this paper, an Optical Flow-based algorithm which fits for real-time recognition of multiple moving objects is proposed. Also in the tests, the newly proposed method contributed to raising the similarity of multiple moving objects, the similarity was as high as 0.96, up 13.4% over that of the mean-shift algorithm. Meanwhile, the level of pixel errors from using the new method keenly decreased by more than 50% over that from applying the mean-shift algorithm. If the data processing speed in the video surveillance systems can be reduced further, owing to improved algorithms for faster moving object recognition and tracking functions, we will be able to expect much more efficient intelligent systems in this industrial arena.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.259-266
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• 2020

This paper attempted to find the convergence factors related to the organizational citizenship behavior of hospital administration staff(HAS). The survey was conducted on 274 administrative staff at 22 hospitals in J regions randomly selected using self-administered questionnaires. The survey period took about a month from July 1 to July 31, 2019. The hierarchical multiple regression analysis shows the following results. The organizational citizenship behavior of respondents turned out to be significantly higher in following groups: The higher the procedure justice, sub-areas of organization justice, the higher the intragroup trust, and the higher the organizational commitment. Their explanatory power was 41.9%. The results of the study indicate that the efforts, to increase organization justice, intragroup trust and organizational commitment, are required to improve organizational citizenship behavior among HAS. The above results are expected to be utilized in human resource management and industrial health education of medical institutions that enhance organizational citizenship behavior of HAS. Later research requires the establishment of a structural equation model that affects organizational citizenship behavior of HAS.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.313-320
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• 2019

This study ascertained convergent influence on state anxiety and its association with subjective happiness, job burnout and psychosocial stress among Hospital Women Administrative Staff(HWAS). The survey period was from July 4, 2018 to July 25, 2018. The subjects were 226 HWAS randomly extracted from 24 hospitals in J area. The data were collected using a structured self-administered questionaries. State anxiety was negatively correlated with subjective happiness, and it was positively correlated with job burnout and psychosocial stress. The covariance structure analysis showed that the lower subjective happiness, and the higher job burnout and psychosocial stress tend to increase state anxiety. In conclusion, in order to reduce the state anxiety of HWAS, it is necessary to increase subjective happiness, to reduce job burnout and psychosocial stress. These results are expected to be used for industrial health education and hospital internal customer management to reduce the state anxiety of HWAS. In the future study, it is necessary to investigate the convergent additional factors that affect the state anxiety of HWAS.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.159-166
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• 2019

This paper investigated convergent factors to turnover intention among some Administrative Staff in Medical Institutions(ASMI). The survey used self-administered questionnaires for 320 administrative staffs of 27 medical institutions in the J region, selected arbitrarily from July 2, 2018 to July 27, 2018. The hierarchical multiple regression analysis shows the following results. The turnover intention of respondents turned out to be significantly higher in following groups: a group in which organizational commitment is lower, a group in which organizational loyalty is higher, a group in which exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout are higher. The results show explanatory power of 50.9%. The results of the study indicate that the efforts, to increase organizational commitment and organizational loyalty, and to decrease exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout, are required to improve the turnover intention among ASMI. These results could be used in hospital organization personnel management and industrial health education to lower the level of turnover intention in ASMI, vocational aptitude education of health care college students. In following studies, it is necessary to present and analyze the structural model affecting the turnover intention of ASMI.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.303-309
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• 2019

This study investigated convergent influence on turnover intension and its association with organizational commitment, organizational loyalty and job burnout among some Administrative Staff in Medical Institutions(ASMI). The subjects were 320 randomly selected ASMI from 27 medical institutions in the J region, Data collection was carried out via a structured self-administered questionaries from July 2, 2018 to July 27, 2018. Turnover intension was positively correlated with job burnout, and it was negatively correlated with organizational commitment and organizational loyalty. The covariance structure analysis showed that the higher job burnout, and the lower organizational commitment and organizational loyalty tend to increase turnover intention. The results indicate that the efforts, to increase organizational commitment and organizational loyalty, and to decrease job burnout, are required to decrease the turnover intention of ASMI. The results are expected to be useful for health administration policy and industrial health education to decrease the turnover intention of ASMI. In the following study, the analysis about convergent additional factors of influence on the turnover intention of ASMI will be needed.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.263-269
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• 2021

It is necessary to investigate the relationship between ego-resiliency, organizational loyalty, organizational commitment, and emotional intelligence of hospital administrative staff and the effect of these factors on emotional intelligence. Therefore, this study investigated the relationship between these factors and emotional intelligence and identified the convergence effect on emotional intelligence in hospital administrative staff. The subjects of the survey were randomly selected 212 administration staffs at 19 hospitals selected from the J area. The data collection was conducted for about a month from May 1 to 31, 2019. The form of the questionnaire used structured anonymous self-administered responses. Emotional intelligence showed a positive correlation between ego-resiliency, organizational loyalty, and organizational commitment. According to the analysis, efforts to enhance ego-resiliency, organizational loyalty, and organizational commitment are needed to increase the emotional intelligence of hospital administration staffs. The findings may be used as basic materials for hospital job management and industrial health education that will raise the emotional intelligence of hospital administration staffs. Future research needs to investigate additional factors related to emotional intelligence and various emotional factors of hospital administrative staff.

• Korean small business review
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• v.42 no.3
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• pp.245-274
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• 2020

The 4th Industrial Revolution is rapidly changing the business environment and enterprises are required to accelerate various innovative activities for sustainable competitiveness. Recently corporate entrepreneurship is widely spread to organization for establishing innovative corporate culture and stimulating corporate ventures. However, many enterprises are not successful and productive due to lack of readiness of corporate entrepreneruship. Therefore, finding the factors influencing corporate entreprensurship, innovative activities and business performance is a very important research issues. A research model and hypothesis are developed by through literature review to analyze positive effects of corporate entrepreneurship to corporate performance and influential effects of factors such as innovation-based efforts at the organizational level, vision and organizational strategies and innovative operating system to corporate entrepreneurship and business performance. The result of Entrepreneurship Survey with Corporates conducted by Korea Entrepreneurship Foundation in 2017 is used for the research sample. Hypothesis test used 1,326 samples and the structural equation modeling is applied. The results show that corporate entrepreneurship improves innovative idea activity performance and business performance. And, establishing innovative vision and strategies and innovative organizational culture enhances corporate entrepreneurship. In addition, it was confirmed that the innovative operational system has a moderating effect that strengthens the positive influence relationship between corporate entrepreneurship and innovative idea performance. The results of this study have implications for previous research on corporate entrepreneurship in Korea by presenting the relationship between corporate entrepreneurship and business performance and the multilateral relationships between innovative organizational structure and corporate entrepreneurship.

• Information Systems Review
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• v.25 no.4
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• pp.131-159
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• 2023

Recently, amidst the backdrop of the COVID-19 pandemic shifting towards an endemic phase, there has been a rise in discussions and debates about the future of the metaverse. Simultaneously, major metaverse platforms like Roblox have been launching services integrated with generative AI, and Apple's mixed reality hardware, Vision Pro, has been announced, creating new expectations for the metaverse. In this situation where the outlook for the metaverse is divided, it is crucial to diagnose the metaverse from an ecosystem perspective, examine its key ecological features, driving forces for development, and future possibilities for advancement. This study utilized Wang's (2021) Information Ecology Theory (IET) framework, which is representative of ecosystem research in the field of Information Systems (IS), to derive the Metaverse Industrial Ecosystem (MIE). The analysis revealed that the MIE consists of four main domains: Tech Landscape, Category Ecosystem, Metaverse Platform, and Product/Service Ecosystem. It was found that the MIE exhibits characteristics such as digital connectivity, the integration of real and virtual worlds, value creation capabilities, and value sharing (Web 3.0). Furthermore, the interactions among the domains within the MIE and the four characteristics of the ecosystem were identified as driving forces for the development of the MIE at an ecosystem level. Additionally, the development of the MIE at an ecosystem level was categorized into three distinct stages: Narrow Ecosystem, Expanded Ecosystem, and Everywhere Ecosystem. It is anticipated that future advancements in related technologies and industries, such as robotics, AI, and 6G, will promote the transition from the current Expanded Ecosystem level of the MIE to an Everywhere Ecosystem level, where the connection between the real and virtual worlds is pervasive. This study provides several implications. Firstly, it offers a foundational theory and analytical framework for ecosystem research, addressing a gap in previous metaverse studies. It also presents various research topics within the metaverse domain. Additionally, it establishes an academic foundation that integrates concept definition research and impact studies, which are key areas in metaverse research. Lastly, referring to the developmental stages and conditions proposed in this study, businesses and governments can explore future metaverse markets and related technologies. They can also consider diverse metaverse business strategies. These implications are expected to guide the exploration of the emerging metaverse market and facilitate the evaluation of various metaverse business strategies.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.253-263
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• 2018

Textile fashion industry is a core foundation industry, having the majority of companies with 10 or more workers, in Northern Gyeonggi Province. however the industry is mostly comprised of small unit-stream enterprises, orders are greatly reduced due to lately accelerated overseas expansion of medium/large-sized vendors and the growth-inhibiting vicious circle has being set in, as this situation causes the reduction of investment. For resolving the problems, this study proposes required political factors and concrete policy proposals by designing AHP research model(4 layers and 36 elements), based on grasp of the transitional aspect of industrial scale and business environment through analysis of various industrial statistics, preceding research such as related literature search and (industrial/academic/R&D/government) specialist opinion investigation, and then calculating relative importance and priority of each factor(element) within each layer. And for raising usefulness and availability of the research result by concretely suggesting the vision, strategies, core tasks and detailed projects in which the research model and deduced result are reflected.