• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.1-15
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• 2020

As the entrepreneurial ecosystem turns out to be a leading factor in improving nation's entrepreneurship, many studies are underway in the country to develop the start-up ecosystem. Although the entrepreneurial ecosystem is receiving attention as an essential factor for the nation's economic growth as well as entrepreneurship due to its inter-relationship with start-ups, government agencies and investors, criticism of measurement indicators has been increasing due to the different institutional and political contexts of each country, including the various definition of start-up ecosystem. In this study, we develop indicators that are suitable for domestic conditions in Korea and that can measure the level of start-up ecosystems in each regional level. FGI and Delphi surveys by scholarly experts in each field of start-ups & entrepreneurship were conducted to verify how well existing indicators fit the domestic situation and to develop indicators that can measure the local entrepreneurial ecosystem in Korea through close examination. As a result, the local entrepreneurial ecosystem consisted of three to four sub-components and 38 sub-components, each consisting of seven indicators, including Policy, Investment, Culture, Market, Human Capital, Support and Knowledge. It is expected that this research will be used to diagnose local start-up ecosystems and to propose discriminatory policies that can complement regional strengths and weaknesses.

• Health Policy and Management
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• v.16 no.2
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• pp.49-76
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• 2006

The aim of this study was to explore the effects of a computerized review program which was introduced in August 1, 2003, using claims data for acute respiratory infection related diseases. National Health Insurance (NHI) claims data on respiratory infection related diseases before and after the introduction, with six month intervals respectively, were used for the analysis. Clinic was the unit of observation, and clinics with only one physician whose specialty was internal medicine, pediatrics, otorhinolaryngology and family medicine and clinics with a general practitioner were selected. The final sample had 7,637 clinics in total. Indices used to measure practice pattern was prescription rates of antibiotics, prescription rates of injection drug per visit, treatment costs per claim, and total costs per claim. Changes in the number of claims for major disease categories and upcoding index for disease categories were used to measure claiming behavior. Data were analysed using descriptive analysis, t-test for indices changes before and after the introduction, analysis of variance (ANOVA) for practice pattern change for major disease categories, and multiple regression analysis to identify whether new system influenced on provider' practice patterns or not. Prescription of antibiotics, prescription rates of injection drug, treatment costs per claim, and total costs per claim decreased significantly. Results from multiple regression analysis showed that a computerized review system had effects on all the indices measuring behavior. Introduction of the new system had the spillover effects on the provider's behavior in the related disease categories in addition to the effects in the target diseases, but the magnitude of the effects were bigger among the target diseases. Rates of claims for computerized review over total claims for respiratory diseases significantly decreased after the introduction of a computerized review system and rates of claims for non target diseases increased, which was also statistically significant. Distribution of the number of claims by disease categories after the introduction of a computerized review system changed so as to increase the costs per claims. Analysis of upcoding index showed index for 'other acute lower respiratory infection (J20-22)', which was included in the review target, decreased and 'otitis media (H65, H66)', which was not included in the review target, increase. Factors affecting provider's practice patterns should be taken into consideration when policies on claims review method and behavior changes. It is critical to include strategies to decrease the variations among providers.

• Journal of Distribution Science
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• v.15 no.12
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• pp.61-72
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• 2017

Purpose - Despite that the importance of small enterprises' performance in the community has been magnified, no study has been conducted yet on the performance based on consumers directly faced by small enterprises. Accordingly, this study aims to investigate the relationship between the life styles of consumers who use small enterprises' stores by type and the word of mouth(WOM) effects, which are concrete behaviors of consumers. Research design, data, and methodology - The VALS classification system was utilized to classify the types of life styles of consumers who use small enterprises' stores. The consumers were divided into a total of four types. This study was intended to investigate the effects of the types of consumers on the word of mouth(WOM) effects of consumers who use small enterprises' stores along with the effects of consumers' perception of economic situations on their word of mouth(WOM) effects after using small enterprises' stores. Results - The results of the study indicated that among the types of consumers who use small enterprises' stores, the group that pursues faith and the group that pursues knowledge had positive (+) effects on favorable word of mouth(WOM) effects. However, the group that pursues trends and the group that pursues action were shown to have no effect and positive or negative perceptions of economic situations were shown to have no effects of the word of mouth(WOM) effects of users of small enterprises' stores. Conclusions - In this study, as a measure to create small enterprises' performance, word of mouth(WOM) effects on small enterprises' stores according to consumers' consumption behaviors were examined focusing on consumers. Through the study results, the groups of consumers who use small enterprises' stores by type that provide favorable word of mouth(WOM) effects were derived. And This Study aims to investigate the relationship between the four type life styles of consumer who use small enterprises' stores and the word of mouth(WOM) effect. Accordingly This study is significant in that it derived a measure to create small enterprises' performance centering on consumers and that it presented a cornerstone for the establishment of small enterprises at the government level.

• Health Policy and Management
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• v.13 no.1
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• pp.98-115
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• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.

• Informatization Policy
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• v.23 no.2
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• pp.73-97
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• 2016

Social changes due to ICT like Big Data, IoT, Cloud and Mobile is progressing rapidly. Now, we get out of the old-fashioned frame was measured at the level of the information society through the introduction of PC, Internet speed and Internet subscribers etc and there is a need for a new type of diagnostic information society framework. This study is the study for the framework established to diagnose and measure post-information society. The framework and indicators were chosen in accordance with the technological society coevolution theory and information society-related indicators presented from authoritative international organizations. Empirical results utilizing the indicators and framework developed in this study were as follows: First, the three sectors, six clusters (items), 25 nodes (indicators) that make up the information society showed that all strongly connected. Second, it was diagnosed as information society development (50.34%), technology-based expansion (25.03%) and ICT effect (24.63%) through a network analysis (ANP) for the measurement of importance of the information society. Third, the result of calculating the relative importance of the cluster and nodes showed us (1)social development potential (26.04%), (2)competitiveness (15.9%), (3)ICT literacy (15.5%) (4) (social)capital (24.3 %), (5)ICT acceptance(9.54%), (6)quality of life(8.7%). Consequently, We should take into account the effect of the economy and quality of life beyond ICT infrastructure-centric when we measure the post-information society. By applying the weighting we should performs a comparison between countries and we should diagnose the level of Korea and provide policy implications for the preparation of post-information society.

• Health Policy and Management
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• v.17 no.4
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• pp.113-133
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• 2007

The present study was conducted to measure health-related utility for post-menopausal symptoms among Korean woman. A survey questionnaire was developed to measure utility based on visual analogue scale(VAS) and time trade-off method (TTO). From January 29 to February 3, 2007, a face-to-face interview was conducted with 274 women aged 45 to 60 to ask about their subjective utility for hypothetical health status of mild or severe post-menopausal symptoms. Among the participants, 160 were recruited from outpatient departments of 3 hospitals and 114 from 2 sports centers located in Seoul. For mild symptom, the average utility score of the respondents was $0.63{\pm}0.14$ based on VAS and $0.61{\pm}0.26$ based on ITO. For severe symptoms, the average utility was $0.39{\pm}0.16$(VAS) and $0.44{\pm}0.27$ (TTO). For severe symptom, a higher utility score was observed for TTO than for VAS, which is consistent with earlier studies and thus supports the validity of the utility measurement in this study. Overall, the severity of post-menopausal symptoms of the respondents themselves was not significantly associated with the utility score that the respondents answered for hypothetical health status. Multiple regression analysis results showed that the utility score was significantly higher among respondents with older age, higher education, higher family income, and from hospitals. It is expected that the utility score measured in this study will enhance the understanding of the quality of life of women after menopause and will be used to conduct cost-utility analysis of health care interventions to treat post-menopausal symptoms.

• Health Policy and Management
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• v.18 no.3
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• pp.18-40
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• 2008

Measurements of health related quality of life can be used to compare patients with specific conditions to average individuals in the general population in a similar age and gender group. However there are few data available regarding health related quality of life for the general population of Korea. Therefore, this study was conducted to examine the validity of the Korean version of EQ-5D and to measure the health related quality of life of the general adult population in a metropolitan city. The survey was cross-sectional and employed a stratified and multistage sampling design through 100 examination sites in 5 districts of UIsan. A total of 12,644 individuals from 4,112 households participated in the survey. Of these, we analyzed data from 8,068 adults who were over 19 years old and completed the EQ-5D. To examine the validity of the questionnaire, the differences in 5 dimensions and the $EQ-5D_{index}$ were analyzed with regard to demographic and socioeconomic factors such as sex, age, income, and education. In addition, visual analogue scales (VAS) were used to evaluate the overall health related quality of life issues of the respondents. The level of health related quality of life of the general adult population was then compared with the results from the third Korean National Health and Nutrition Examination Survey and other countries. There were a small number of people with problems related tomobility, self-care, and usual activity. In addition, many people complained ofpain/discomfort and anxiety/depression. The complaint rate in each dimension, VAS, and $EQ-5D_{index}$ indicated relatively better states for males, the younger group, the higher income group, and the higher education group. In addition, the level of health related quality of life of the general population of Ulsan was relatively higher than that of Koreans nationwide as well as the populations of other countries. EQ-SD provided a valid measure of the health-related quality of life of the general adult population. In addition, the results of a survey of Ulsan revealed that the quality of life of its population is better than that of the overall population of Korea and of the populations of other countries.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.79-105
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• 2021

In the circumstance of standing out the climate change issue, the purpose of this study is to compare the efficiency of offshore and coastal fisheries according to whether or not greenhouse gas (GHG) emissions are considered, and then to present policy alternatives based on the analysis results. For analysis, the traditional data envelopment analysis (DEA), the slacks-based measure (SBM) and the SBM-undesirable models were used, and robust analysis of variance (ANOVA) and Wilcoxon Signed-rank tests were performed. As a result, the study showed that the average efficiency of fisheries decreased as the traditional DEA extended to the SBM model considering the slack and the SBM-undesirable model including the GHG emissions. Specifically, the average efficiency of the traditional DEA model, SBM model, and SBM-undesirable model was analyzed as 0.7350, 0.5820 and 0.4976 respectively. In addition, the results of the robust ANOVA and Wilcoxon Signed-rank tests all showed that there are statistically significant differences in efficiency between offshore and coastal fisheries as well as among traditional DEA, SBM and SBM-undesirable models. As a policy alternative to the analysis, it was suggested that to improve the efficiency of coastal and offshore fisheries, it is necessary to actively implement the new fishing vessel project and develop smart and electric hybrid fishing vessels.

• Quality Improvement in Health Care
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• v.1 no.1
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• pp.96-108
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• 1994

Background: An appropriate use of hospital beds can improve productivity of hospital significantly. The authors' previous study revealed that approximately one third of Korean hospital bed days and one sixth of admissions were inappropriately used, when it was measured by Appropriateness Evaluation Protocol(AEP) and Delay Tool modified into Korean situation by the authors. This study aims to evaluate applicability of the instruments in a new hospital. More specifically the study aims to measure appropriateness of the instruments used by newly trained nurse reviewers at a new hospital setting. Methods: In order to evaluate applicability of these instruments, agreement rates of the scores recorded by newly trained nurse reviewers with by skilled nurse reviewer and also compared with the scores recorded by physician's implicit decision were assessed. Agreement rates were derived from concurrent application of AEP and Delay Tool to 52 admissions and 104 patient days from internal medicine, pediatrics, and general surgery of one university hospital. Overall agreement rate, specific nonacute agreement rate, and kappa statistics were used to indicate level of agreement. Results: Overall agreement rates on appropriateness between newly trained nurse reviewers and skilled nurse reviewer were 100% in admission and 98% in bed days. Overall agreement rates on reason for inappropriateness between newly trained nurse reviewers and skilled nurse reviewer were 96% in admission and 91% in bed days. Overall agreement rates between newly trained nurse reviewers and physician reviewer were 86% in admission and 87% in bed days. Conclusion: Results indicated that AEP and Delay Tool were applicable to a new hospital in detecting inappropriate utilization of beds and reasoning of the inappropriateness. These instruments could contribute to enhance efficiency of hospital use, through continuous monitoring of level of inappropriate hospital use at national or individual hospital level.

• Journal of Distribution Science
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• v.13 no.11
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• pp.101-109
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• 2015

Purpose - A traditional retail market is a place that offers economic opportunity to employees and employers alike it also is a place where the community can meet. The Korean government has invested three trillion won to improve physical and non-physical aspects in traditional retail markets since 2004. However, little research on this has been conducted. We explore this research gap that could lead to theory extension. We analyze consumption behavior with respect to traditional retail markets through an empirical analysis, thus overcoming limits in previous research. We empirically analyze policy effects of traditional retail market projects supported by the Korean government. Research design, data, and methodology - We propose a traditional retail market improvement plan via the relation between cause and effect resulting from the analysis. More specifically, logit analysis was carried out with 1,754 consumers in 16 cities nationwide. In order to analyze consumer consumption behaviors nationwide, the probability was analyzed using a logit model. This research analyzes the link between support and non-support by the Korean government using binary values. The dependent variable is whether Korean government support is implemented; the binomial logistic regression is used as the statistical estimation technique. The object variables are:1 (support) or 0 (nonsupport), and the prediction value is between 1 and 0. As a result of the factor analysis of questions related to attributes of service quality, four factors were extracted: convenience, product, facilities, and service. Results - The results indicate that convenience, product, and facilities have a significant influence on consumer satisfaction in accordance with the government's traditional retail market support. Additionally, the results reveal that convenience, product, facilities, and service all have a significant influence on consumer satisfaction in a traditional retail market's service quality and consumer satisfaction. Finally, the analysis indicates that the highly satisfied traditional retail market customer has a significant influence on revisit intention. Moreover, the results reveal that the highly satisfied traditional retail market customer has a significant influence on recommendation intention. Conclusions - This research focused on consumers nationwide to measure policy effects of traditional retail markets compared to previous research that focused on one traditional retail market or a specific area. We verified the relationship of service quality and customer satisfaction and consumer behavior based on service quality theory. The results indicate that consumer satisfaction of traditional retail markets supported by service quality factors has a significant impact. In a concrete form, the results indicate that these effects are from facility modernization projects and marketing support projects of the Korean government. The results also imply that these facility and management support effects from the Korean government have been consistent. We realize that the Korean government has to selectively support traditional retail markets in major cities and small and medium-sized cities. To that end, the Korean government needs to select a concentration strategy for the revitalization of traditional retail markets.