• Knowledge Management Research
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• v.20 no.4
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• pp.23-38
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• 2019

The Korean government has been trying to create new economic value-added and jobs by the openness and utilization of open government data. However, most of open government data has poor utilization rate. Although open government data standardization is a major cause of those inactivation, it is not sufficient to conduct empirical research on open government data itself. Based on this trend, this paper aims to find the priority area for opening data and suggests a realistic directions of standardization of open government data. Text mining and social network analysis approaches are used to analyze open government data and standardization. This research suggests the guides to open government data managers in practical view from selection of data to standardization direction. In addition, this research has academic implications to the knowledge management systems in terms of suggesting standardization direction by using various techniques.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.105-113
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• 2022

Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

• Journal of Korean society of Dental Hygiene
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• v.20 no.2
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• pp.129-137
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• 2020

Objectives: Using the annual data from the 2016 Korean Health Panel, this study aims to identify the factors that affect the dental utilization and expenditure of patients with chronic diseases, and to provide basic data to explain the inequality gap in dental utilization. Methods: The dental utilization and expenditure of 3,557 patients with chronic diseases were analyzedfor frequency using the SPSS Windows version 23.0 (SPSS Inc. IL, USA). Analysis of the factors that affect dental utilization and expenditure were performed using a multiple regression analysis. The level of statistical significance was 0.05. Results: The frequency of dental utilization in patients with chronic diseases was high for subjects who were younger than 65 years and those whose education level was below high school. The frequency of dental utilization was relatively lower for subjects who did not have disabilities and those with healthier subjective health status. The dental expenditure of patients with chronic diseases was higher in subjects who were younger than 65 years and those with greater household income. Conclusions: The above findings suggest that a plan is needed to control dental utilization by efficiently managing chronic diseases, and that a policy-based plan is needed to devise ways to supplement the uninsured medical expenses of dental care.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.237-253
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• 2018

In a rapidly changing environment, dynamic resources have become important factors for companies, the use of Big Data come into focus new core value of business but researches on the major resources and capabilities of companies are insufficient. In this study, the effect of dynamic capability and entrepreneurial orientation in the SMEs on the intention of Big Data utilization are explored. For the purpose of empirical analysis, the survey condusted of 364 domestic SMEs to analyze the effect of dynamic capability on the intention of Big Data utilization through entrepreneurial orientation, performed a parallel multi-parameter analysis of using SPSS Win Ver.22.0 and PROCESS macro v3.0. The results of hypothesis testing showing that dynamic resources and entrepreneurial orientation had positive influence intention of big data utilization. For the determinants of Big Data utilization related to AI it provide suggestions thereby improving the understanding of dynamic capabilities and entrepreneurial orientation and helping to improve the management of SMEs.

• Korea Journal of Hospital Management
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• v.14 no.1
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• pp.36-61
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• 2009

This study focused on finding the variation of medical service utilization, paths of medical service utilization and medical payments of the patients died by cerebrovascular diseases. For this study, data of the one-year episodes of the health insurance subscribers died in 2004 were selected. The frequency of medical visits, the lengths of stays, the days of outpatient visits, the total period of medical services and the total medical payments were compared by the characteristics of the suppliers and utilizers. This study is useful in reviewing the equity of medical service utilization because it analyzed variance in utilization by episodes. In oder to collect accurate data of the patients died by cerebrovascular diseases in 2004 the 2004 reimbursement data of all medical institutions were matched to the data of funeral fee payment by the National Health Insurance Corporation from January 2004 to May 2005. The major results of the study are as follows. The variation of medical service utilization of cerebrovascular diseases was influenced by supplier factors suppliers, such as types and locations of medical institutions and user factors such as sex and age. It was suspected that the reimbursement by fee-for-service contributed to the variation quite a lot, but we could not compare the variation between the different reimbursement systems in Korea. On the basis of analyzing results this study suggests that the factors of suppliers and utilizers should be reviewed to reduce the under use and over use expressed by variations of medical service. The processes of care, effective communication and management system should be investigated for the equity of medical service utilization and also. alternative medical services would be recommended to reduce the high medical payment. Additionally to find other causes of variation further in depth study controling the severity of diseases, socio-economic status of the users and the system factors is required.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.4
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• pp.7-23
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• 2022

Media utilization in colleges of education in Nigeria is compulsory to train pre-service teachers. Psychological variables (emotional intelligence, and self-efficacy) and media improvisation were investigated on media resources utilization among lecturers in colleges of education in the South-West, Nigeria. The descriptive design was adopted and multi-staged procedure was used to select 812 (493 males; 319 females). Emotional intelligence (r = 0.79), media improvisation (r = 0.71), self-efficacy (r = 0.85 and media resources utilization r = 0.96) scales were used for data collection. The data were analyzed using descriptive statistics and Pearson product moment at 0.05 level of significance. The level of emotional intelligence, self-efficacy and media improvisation were high. Significant relationship existed among: emotional intelligence (r = 0.42), Media improvisation (r = 0.46) and Teaching self-efficacy (r = 0.31) to media resources utilization. It recommended that lecturers' emotional intelligence, self-efficacy and media improvisation are to be promoted in colleges of education.

• Journal of Preventive Medicine and Public Health
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• v.28 no.1 s.49
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• pp.207-223
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• 1995

A new medical delivery system which regulated outpatient department(OPD) use from tertiary care hospitals was adopted in 1989. Under the new system, patients using tertiary care hospital OPD without referral slip from clinics or hospitals could not get any insurance benefit for the services received from the tertiary care hospital. This study was conducted to evaluate the Patient Referral System(PRS) with respect to health care expenditures and utilization. Two data sets were used in this study. One was monthly data set(from January 1986 to December 1992) from the Annual Report of Korea Medical Insurance Corporation(KMIC). The other was monthly joint data set composed of personal data of which 10% were selected randomly with their utilization data of KMIC from January 1988 to December 1992. The data were analyzed by time-series intervention model of SAS-ETS. The results of this study were as follows: 1. There was no statistically significant changes in per capita expenditures following PRS. 2. Utilization episodes per capita was increased statistically significantly after implementation of PRS. The use of clinics and hospitals increased significantly, whereas in tertiary care hospitals the use decreased significantly immediately after implementation of PRS and increased afterwards. 3. Follow-up visits per episode were decreased statistically significantly after implementation of PRS. The decrease of follow-up visits per episode were remarkable in clinics and hospitals, whereas in tertiary care hospitals it was increased significantly after implementation of PRS. 4. There was no statistically significant changes in prescribing days per episode following PRS. Futhermore, clinics and hospitals showed a statistically significant decrease in prescribing days per episode, whereas in tertiary care hospital it showed statistically significant increase after implementation of PRS. 5. Except high income class, the use of tertiary care hospitals showed statistically significant decrease after implementation of PRS. The degree of decrease in the use of tertiary care hospitals was inversely proportional to income. These results suggest that the PRS policy was not efficient because per capita expenditures did not decrease, and was not effective because utilization episodes per capita, follow-up visits per episode. and prescribing days per episode were not predictable and failed to show proper utilization. It was somewhat positive that utilization episodes per capita were decreased temporarily in tertiary care hospitals. And PRS policy was not appropriate because utilization episodes per capita was different among income groups. In conclusion, the PRS should be revised for initial goal attainment of cost containment and proper health care utilization.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.119-132
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• 2015

It is a problem that the poor quality of data hinder the efficient operation and rapid decision-making in enterprises. Thus, we examined if the management class support and business environment could influence the data utilization management in this research. We also verified that relevant activity promotes data utilization for the handling of work or decision-making, thereby affecting customer orientation. The study showed that data utilization quality control is a positive factor for utilizing data for better business decision-making process. It was also confirmed that utilizing the data has indirect effect on customer orientation. Finally we suggested the practical implications to the corporate executives. Future research will be needed to find relationships between data quality management and other factors including management performance.

• Journal of Korean Academy of Nursing
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• v.42 no.7
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• pp.928-935
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• 2012

Purpose: The current study was done to identify individual- and group-level factors associated with health care service utilization among Korean medical aid beneficiaries by applying multilevel modeling. Methods: Secondary data analysis was performed using data on health care service reimbursement and medical aid case management progress from 15,948 beneficiaries, and data from 229 regions were included in the analysis. Results: Results of multilevel analysis showed an estimated intraclass correlation coefficient (ICC) of 18.1%, indicating that the group level accounted for 18.1% of the total variance in health care service utilization, and that beneficiaries within the region are more likely to share common features with regard to health care service utilization. At the individual level, existence of disability and types of medical aid beneficiaries showed a significant association, while, at the group level, social deprivation index, and the number of beneficiaries and case managers within the region showed a significant association with health care service utilization. Conclusion: The significant influence of group level variables in health care service utilization found in this study indicate a need for group level approaches, such as policy change and/or promotion of community awareness.