• Journal of health informatics and statistics
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• v.43 no.4
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• pp.329-335
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• 2018

Objectives: In recent years, there has been an increased need for a way to extract desired information from multiple medical literatures at once. This study was conducted to confirm the usefulness of unstructured data analysis using previously published medical literatures to search for new indications. Methods: The new indications were searched through text mining, network analysis, and topic modeling analysis using 5,057 articles of atorvastatin, a treatment for hyperlipidemia, from 1990 to 2017. Results: The extracted keywords was 273. In the frequency of text mining and network analysis, the existing indications of atorvastatin were extracted in top level. The novel indications by Term Frequency-Inverse Document Frequency (TF-IDF) were atrial fibrillation, heart failure, breast cancer, rheumatoid arthritis, combined hyperlipidemia, arrhythmias, multiple sclerosis, non-alcoholic fatty liver disease, contrast-induced acute kidney injury and prostate cancer. Conclusions: Unstructured data analysis for discovering new indications from massive medical literature is expected to be used in drug repositioning industries.

• Journal of Korean Medical Science
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• v.33 no.53
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• pp.341.1-341.11
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• 2018

Background: The converging epidemics of tuberculosis (TB) and end-stage renal disease (ESRD) have generated a significant public health burden, however, previous studies have been limited to a small number of patients. This nationwide cohort study aimed to assess the rate of developing active TB among patients receiving dialysis for ESRD. Methods: The Korean national health insurance database was used to identify patients receiving dialysis for new-onset ESRD during 2004-2013, who were propensity score matched to an equivalent number of non-dialysis subjects from the general population. The incidences of active TB in the ESRD and control cohorts were calculated for 2004-2013, and multivariable Cox proportional hazards model was used to evaluate the ESRD-related risk of active TB. Results: During 2004-2013, 59,584 patients received dialysis for newly diagnosed ESRD. In the dialysis and control cohorts, 457 (0.8%) and 125 (0.2%) cases of active TB were detected, respectively. Patients with ESRD were associated with a significantly higher risk of active TB compared to the controls (incidence rate ratio, 4.80). The ESRD cohort had an independently elevated risk of active TB (adjusted hazard ratio, 4.39; 95% confidence interval, 3.60-5.37). Conclusion: We found that patients receiving dialysis for ESRD had an elevated risk of active TB. These results highlight the need for detailed and well-organised guidelines for active TB screening among patients with ESRD.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.163-170
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• 2019

A new revenue recognition standard was adopted in 2018. The purpose of this paper is to analyse how K-IFRS 1115 'Revenue from Contracts with Customers' affects the revenue recognition of the telecommunication firms and to suggest a regulatory policy for the telecommunications industry. It shows identifying performance obligations for bundles, determining the transaction price and allocating the transaction price to the performance obligation and how to account for it using case study. The most important change in the telecommunication companies's revenue is to allocate the transaction price to two performance obligations: telecom services and mobile handset sales. As a result, sales revenue are expected to drop en masse. This study provides important implications for the regulatory accounting policy of the telecommunications industry.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.127-136
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• 2019

In the social media, information that users share with service providers can be divided into personal identification information such as gender and age and privacy-related information such as photos and comments. However, previous works on IS and service management have shed relatively little light on the difference of information-sharing decisions depending on the type of information. This study examines information-sharing decisions by separating the two types of information. A structural equation modeling method is used to test the research model based on a sample of 350 Facebook in South Korea. Analysis results show that self-expression, trust, and perceived security had a significant positive effect on both user's intentions to give personal identification information and their intentions to give privacy-related information. However, privacy concerns negatively affected their intentions to give personal identification and intention to give privacy-related information. The analysis results confirm that there was no difference between decision-making processes about sharing personal identification information and ones about sharing privacy-related information.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.229-240
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• 2021

As the environment and rivalry of Regional Agricultural Cooperatives(RACs) becomes more unfavorable, the pressures to enhance organizational performance are strenghthened. Existing studies suggest efficiency improvement through resource sharing(RS) to fix the issue. In this context, I intend to find if RS still increases organizational performance in another form of organization on the basis of 132 business units(BUs) of 45 RACS. According to empirical results, resource similarity between BUs and resource level of BU increases RS respectively, and RS increases BU's performance. The RS also has mediating effects on similarity and resource level into performance. But the overall resource level of RAC has no influence on RS and there is no mediating effect. My contribution is to confirm the efficacy of RS in half-profit organization and to verify determinants and performance implications of RS.

• The Journal of Economics, Marketing and Management
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• v.9 no.5
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• pp.39-50
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• 2021

Purpose: This study is to analyze the changes of consumption patterns to diagnose the economic impacts on consumers' market during COVID-19, and to suggest implications to overcome the new social and economic crisis of Jeju Island. Research design, data, and methodology: We collected a set of credit card transaction records issued by BC Card Company from merchants in Jeju Special Self-Governing Province for past 4 years from 2017 to 2020 from the Jeju Data Hub run by Jeju Special Self-Governing Province. The big data contains details of approved credit card transactions including the approval numbers, amount, locations and types of merchants, time and age of users, etc. The researchers summed up amount in monthly basis, transforming big data to small data to analyze the changes of consumption before and after COVID-19. Results: Sales fell sharply in transportation industries including airlines, and overall consumption by age group decreased while the decrease in consumption among the seniors was relatively small. The sales of Yeon-dong and Yongdam-dong in Jeju City also fell significantly compared to other regions. As a result of the paired t-test of all 73 samples in Jeju City, the p-value of the mean consumption of the credit card in 2019 and 2020 is significant, statistically proven that the total consumption amount in the two years is different. Conclusions: We found there are sensitive spots that can be strategically approached based on the changes in consumption patterns by industry, region, and age although most of companies and small businesses have been hit by COVID-19. It is necessary for local companies and for the government to be focusing their support on upgrading services, in order to prevent declining sales and job instability for their employees, creating strategies to retain jobs and prevent customer churn in the face of the crisis. As Jeju Province is highly dependent on the tertiary industry, including tourism, it is suggested to create various strategies to overcome the crisis of the pandemic by constantly monitoring the sales trends of local companies.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.73-87
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• 2019

The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.191-204
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• 2019

This study empirically confirmed whether individual characteristics and social capital have distinctive influence on entrepreneurship and entrepreneurship, and whether entrepreneurship consulting has a moderating effect in the context of high interest in entrepreneurship with 223 data. All of the personal characteristics, network, trust, and consulting experience had a significant influence on the entrepreneurial intention, while the external control and reciprocity norms had a significant influence on the entrepreneurial anxiety. The experience of consulting revealed that it has a moderating effect of weakening influence of risk-taking tendency and network on the entrepreneurial will and strengthening the influence of external control on the entrepreneurial anxiety. This research has significance in terms of distinguishing effects of entrepreneurial intention and anxiety and the moderating effect of consulting. In future research, it is expected that verification of entrepreneurial anxiety should be done.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.47-57
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• 2019

This study analyze whether the organizational learning culture affects the firm's dynamic capacity and whether the dynamic capacity mediates the relationship between organizational learning culture and management performance. Respectively. First, "The more organizational structure is organic, the higher the integrated relocation capacity and learning capacity. Organizations with organic organizational structures were found to have the ability to successfully adapt to external changes because there is a practice that is not tied to formal processing or procedures. Second, it can be seen that there is a positive (+) influence on the relocation capacity among the dynamic competence of the learning culture of the corporate organization. Third, both sub-factors of dynamic competence have positive (+) influence on business performance. Also, there was no mediating effect of dynamic competence related to learning culture.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.153-160
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• 2019

This paper analyzes the impact of investment tendency of foreign investor on accounting conservatism. We use the sample of 1,527 firm-year Korea listed companies belonging to non-financial corporate sector during 2014-2016. The results of empirical analyses show that investment horizons of foreign investors has a positive relevance with accounting conservatism. This result indicates that the firm have a long-term foreign investors has a good quality of accounting earning than the firm have a short-term foreign investors. This study that verified the relevance between investment tendency of foreign investor and accounting conservatism is expected to provide useful information by suggesting the need for more incentive for the long-term foreign investors. And we expect a follow-up study focused on the discriminative effect of investment tendency of foreign investor on accounting policy.