• Journal of Fashion Business
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• v.18 no.5
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• pp.1-14
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• 2014

The purpose of this study was to analyze body mass index of women in their twenties and investigate the relationships of body attitude and clothing attitude. To achieve the purposes of this study, a questionnaire was conducted with 398 people from May 2 to May 30, 2013. The final data was analyzed with spss 18.0 program. The results were as follows: First, I found that body attitude had this order: Feeling fat, Lower body fatness, Salience of weight and shape, Attractiveness, Strength and fitness, and Body disparagement Secondly, there were significant differences of body attitude based on demographic characteristics and body mass index. Thirdly, I found that clothing attitude was classified into four factors of Personality pursuit, Body complement, Appearance ostentation, and Social approval. Fourthly, there were significant differences of clothing attitude based on demographic characteristics and body mass index. Fifthly, there were significant relations of body mass index, body attitude, and clothing attitude of women in their twenties. Thus, I found that body mass index and body attitude were related to clothing attitude.

• The Journal of Economics, Marketing and Management
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• v.10 no.3
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• pp.21-36
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• 2022

Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.93-103
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• 2022

The main purpose of this study was to gauge the patient satisfaction index and subsequently discuss the Importance-Performance (IP) matrix analysis of the inpatient services in the context of the private hospital setting. The Malaysian Customer Satisfaction Index Model was employed as the theoretical framework for the above purposes. This study involving 242 patients in Malaysian's private healthcare sector used a Web-based survey as the main method of data collection. Partial least square structural equation modeling (PLS-SEM) was utilized for data analysis. Using Fornell et al. (1996)'s formula, the resulting patient satisfaction index was slightly lower than the "very satisfied" category, the target level required for positioning as one of the world's premier medical tourism players. The IP matrix showed that medical quality is the main competitive advantage of the private hospitals that can propel their growth in the global healthcare marketplace. The results also indicate that outcome quality, patient rights, and privacy, and service quality are the three quality domains that need to be prioritized for further improvement. On the other hand, the servicescape quality domain needs to be strategized as the unique selling proposition as the performance of the private hospitals in this regard is already extremely good.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.317-328
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• 2021

This study examines the impact of bank competition and efficiency in the financial stability of the banking sector in Bangladesh. The study used the Lerner index and the Boone indicator to represent the bank competition, while the non-performing loan (NPL) and Z-score are used to represent financial stability. The secondary data were collected from the annual reports of 28 DSE listed commercial banks of Bangladesh over the period from 2011 to 2018. Using a dynamic panel GMM model, the study found the Lerner index is significantly negatively related with Z-score, which means that higher bank competition results in higher bank stability. It is also seen that higher cost efficiency results in higher bank stability. The Lerner index has negative, but insignificant impact on NPL. Similarly, using the Boone indicator, this study found that lower competition increases NPL. In terms of the Z-score, the Boone indicator found that 1 unit of increment results in decrease of the Z-score by 6.15 units. The study suggests that, as more competition results in more financial soundness, the banking industry competition should be ensured by policymakers or regulators. Banks could enhance financial stability by cost control to achieve cost efficiency as well as by improving loan-to-asset ratio.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.600-608
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• 2017

This study analyzed the management index, debt ratio, and business performance of livestock agricultural farming corporations since the Korea international financial reporting standards (K-IFRS) was introduced in 2011. In addition, this study was based on credible accounting reports by the financial supervisory service's DART (data analysis, retrieval and transfer) system. First, after analyzing the key management index, the results showed that the current ratio, debt ratio, and current liabilities ratio decreased and the ratio of the owners increased on the safety index. Regarding the profitability index, the ROA (return on total assets), ROE (return on equity), and ROS (return on sales) increased slightly in 2014 compared to 2013. The overall growth and external growth on the growth index have not increased. Second, an analysis of the debt ratio and business performance, the debt ratio has a negative effect on the ROA and ROS. These results show that the use of debt of livestock agricultural farming corporations contributes to the external growth but it has a negative effect on business performance. These results show that management should consider solutions for the increase in sales to achieve cost reductions. In addition, the debt ratio should be reduced and solutions for an increase in revenue are needed to reduce management expenses, such as propagation of technical development.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.5
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• pp.81-91
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• 2016

The study shows solutions of long-term unexecuted urban park and activation plans to facilitate the business promotion of Private Park Developers. This study conducted a feasibility analysis to determine if the business of a special case is applicable. The result of this study is as follows about three long-term unexecuted urban parks in Gwangju Metropolitan City's City Park. First, the three long-term unexecuted urban parks in Gwangju Metropolitan City's City Park are the forest type Neighborhood Parks. Businesses of a special case's park developing cost(average 0.4%) have a relatively low percentage. It is most affected by Land Compensation(average 33.8%) and building construction expenses(average 59.1%). Second, long-term unexecuted urban parks' Land Compensation and building construction expenses seed capital are excessive. The Bongsan Park balance floor space index is 179 percent; a reasonable profit floor space index is 220 percent. The Mareuk Park balance floor space index is 351 percent; a reasonable profit floor space index is 420 percent. The Jungoe Park balance floor space index is 327 percent; a reasonable profit floor space index is 400 percent. Third, to facilitate the business of special cases in deliberating, Bongsan Park should change its second class general residential area. Jungoe Park must change the quasi-residential area and semi-residential area. Mareuk Park must change the general commercial area. In this way, the feasibility of promoting private park projects will be improved.

• The Journal of Industrial Distribution & Business
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• v.10 no.4
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• pp.7-12
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• 2019

Purpose - The purpose of this study is to analyze the current status of various fusion research journals and its operational strategies, comparing them to those of IJIDB. Research design, data, and methodology - This study focused on the content analysis and strategies of operations for other convergence journals, comparing them to IJIDB in terms of the number of publication journals, publications, academic scope, and the impact factor. Results - IJIDB is relatively new and in its developmental stages compared to other convergence journals. But, IJIDB also shows much promise in that it came second in the field of economic publications of 54 journals in 2017. In order to To elevate IJIDB journal to the top in Korea Citation Index Journals, KODISA should host more international conferences to increase its international recognition levels, develop its managerial functions for increased stability, and open more opportunities for Candidates of Ph.D and Masters degree students to publish for fostering and building potential leaders and innovators. Conclusions - IJIDB is a newly born academic journal. In the future, IJIDB will be able to develop exponentially and be one of the leading journals in the Korea Citation Index by continually learning and developing its operational strategies.

• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.81-95
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• 2023

As the DT of micro businesses emerges as an important task, the government is also promoting support projects such as policy establishment and micro business education. This study aims to develop a new index (checklist) that can objectively measure the level of digital literacy required for DT in the tertiary industry, which accounts for the largest share of micro business owners. In this study, indicators were derived through review of existing studies and FGI, and the validity and reliability of Likert 5 were measured for decision makers in the tertiary industry. In the field of digital literacy for micro business owners, a total of 22 indicators were developed, largely composed of basic technology environment competency, information utilization competency, information dissemination and production capability, and mind recognition capability. This study has academic significance in that it can contribute to accurately understanding the digital capabilities of micro business owners by developing a digital literacy index for micro business owners, a specific group lacking in research.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.159-168
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• 2013

This study analyze the business efficiency of securities company based on the 2011 performance of 29 securities firms which engage in domestic investment brokerage by applying a combination model of BSC and DEA. And we evaluate business state focused on efficiency which is based on logical system of BSC as business innovation method. The analysis of result is that companies with high customer efficiency index appeared that business efficiency composite index tended to be higher and we identified that customer perspective have an important factor to calculate business efficiency composite index of korea security company. In addition, based on the results of the efficiency analysis we analyze correlation analysis between traditional financial ratio and business efficiency composite index. We confirmed that company of high business efficiency level in terms of BSC have a good record in terms of profitability. BSC-DEA combination model expect to be utilized in security industry sector as well as other industrial sectors as good business indicator to determine the business efficiency and to be used a model can be evaluated the integrated firm valuation of tangible and intangible assets.

• Journal of Distribution Science
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• v.12 no.6
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• pp.49-57
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• 2014

Purpose - The world now recognizes environmental disruption as a serious issue when regarding growth-oriented strategies; therefore, environmental preservation issues become pertinent. Consequently, green distribution is continuously emphasized. However, studying the prediction and association of distribution and the environment is insufficient. Most existing studies about green distribution are about its necessity, detailed operation methods, and political suggestions; it is necessary to study the distribution service industry and environmental service industry together, for green distribution. Research design, data, and methodology - ARIMA (auto-regressive moving average model) was used to predict the environmental service and distribution service industries, and the Granger Causality Test based on VAR (vector auto regressive) was used to analyze the causal relationship. This study used 48 quarters of time-series data, from the 4th quarter in 2001 to the 3rd quarter in 2013, about each business type's production index, and used an unchangeable index. The production index about the business type is classified into the current index and the unchangeable index. The unchangeable index divides the current index into deflators to remove fluctuation. Therefore, it is easy to analyze the actual production index. This study used the unchangeable index. Results - The production index of the distribution service industry and the production index of the environmental service industry consider the autocorrelation coefficient and partial autocorrelation coefficient; therefore, ARIMA(0,0,2)(0,1,1)4 and ARIMA(3,1,0)(0,1,1)4 were established as final prediction models, resulting in the gradual improvement in every production index of both types of business. Regarding the distribution service industry's production index, it is predicted that the 4th quarter in 2014 is 114.35, and the 4th quarter in 2015 is 123.48. Moreover, regarding the environmental service industry's production index, it is predicted that the 4th quarter in 2014 is 110.95, and the 4th quarter in 2015 is 111.67. In a causal relationship analysis, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. Conclusions - This study predicted the distribution service industry and environmental service industry with the ARIMA model, and examined the causal relationship between them through the Granger causality test based on the VAR Model. Prediction reveals the seasonality and gradual increase in the two industries. Moreover, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. This study contributed academically by offering base line data needed in the establishment of a future style of management and policy directions for the two industries through the prediction of the distribution service industry and the environmental service industry, and tested a causal relationship between them, which is insufficient in existing studies. The limitations of this study are that deeper considerations of advanced studies are deficient, and the effect of causality between the two types of industries on the actual industry was not established.