• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.741-750
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• 2021

The research aims to analyze the level of efficiency by grouping banks during the period 2017 - 2018 into category 1 and category 2 banks and then dividing them as Regional Development Banks (BPD) and Non-BPD Conventional Commercial Banks (BUK) within each category. The research objects are banks within the categories BPD and BUK comprised 18 BPDs and 35 BUKs. The research methodology uses 3 stages, first, using Data Envelopment Analysis (DEA) we measure the level of bank efficiency; second, using the Tobit regression model we evaluate the effect of financial performance on DEA efficiency, and third, using the Mann-Whitney test we determine whether there is a difference in the efficiency of category 1 and 2 banks. The results showed that there was a decrease in the efficiency of category 1 and 2 banks but on average, the efficiency of category 1 banks is higher than category 2 banks. The estimation results of the Tobit regression model show that only the ROA variable affects the efficiency level of category 1 banks, while category 2 banks are influenced by NPL and ROA variables. In the Mann-Whitney test, it was proven that there were differences in efficiency between BUK and BPD in category 1 and 2 banks.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.543-549
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• 2018

The importance of prediction is becoming more emphasized, due to the uncertain business environment. In order to implement the predictive model, a number of data engineers and scientists are involved in the project and various prediction ideas are suggested to enhance the model. it takes a long time to validate the model's accuracy. Also It's hard to redesign and develop the code. In this study, development method such as Lego is suggested to find the most efficient idea to integrate various prediction methodologies into one model. This development methodology is possible by setting the same data layout for the development code for each idea. Therefore, it can be validated by each idea and it is easy to add and delete ideas as it is developed in Lego form, which can shorten the entire development process time. Finally, result of test is shown to confirm whether the proposed method is easy to add and delete ideas.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.904-914
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• 1998

BPR(Business Process Reengineering), a radical improvement approach of business process, has been paying attention, and work-flow management and automation has been concentrated on progress velocity of business process and productivity of engineers. In software engineering, software process engineering which focus to process begin to be watched, and for the purpose of software productivity and quality progress and reduction of development term, study on SPR(Software Process Reengineering) is being progressed. In this paper, made workflow analysis and design method for construction of work-flow management system of software process to stand firm process reengineering methodology. In other words, we studied modeling process methods for SPR process, and software process structure and workflow analysis method which construct software process workflow model and specification definition method of workflow software.

• Journal of Distribution Science
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• v.15 no.10
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• pp.51-63
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• 2017

Purpose - The current study examines the shopping behavior of Chinese tourists who purchase Korean cosmetics when visiting Korea, based on expectancy-disconfirmation of shopping satisfaction and brand attitude toward Korean cosmetics. A moderating effect of consumer conformity on the relationships between cosmetics selection factors and two dimensions of disconfirmation - expectation and performance is also examined. Research design, data, and methodology - We conducted a survey with 250 Chinese tourists who visited Jeju, Korea and had purchased Korean cosmetics during their stay. Excluding 43 respondents' inputs because of incomplete answers and missing values, 207 responses were used in the final analysis. All hypotheses were tested using structural equation model (SEM). Results - We found that the Chinese tourist expectations had positive impact on their satisfaction, and the factors for cosmetic selection had a positive effect on shopping satisfaction and brand attitude. A moderating effect of consumer conformity was found to be significant. Conclusions - Given the significantly increased demand for Korean cosmetics from Chinese tourists, Korean cosmetics firms need to better understand cosmetics selection attributes and preference of Chinese tourists, which can provide a guideline to develop retail stores and distribution outlets for Chinese tourists.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.17-26
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• 2022

Purpose - In this paper, we aim to analyze to what extent entrepreneurial orientation (EO) can help overcome Korean SMEs' liabilities of foreignness in overseas markets. In this end, we examined three sub-dimensions of EO (proactiveness, innovativeness, risk-taking) and examine their individual effects on NPD performance of exporting SMEs. Research design, data, and methodology - We collected survey questionnaires from Korean exporting SMEs that are certified with Inno-biz by the Korean Ministry of SMEs and Startups. The collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result - As a result of the analysis, we found that proactiveness and innovativeness dimension of EO have positive effect on new product performance of exporting SMEs. Furthermore, technological uncertainty has negative moderating effect between innovativeness and new product performance of SMEs. Conclusion - While proactive attitude and innovativeness of EO positively affected the performance of new products of SMEs, the tendency to take risks and pursue opportunities with bold behaviors did not have a positive effect on NPD performance in foreign nations.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.109-118
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• 2023

Purpose - This research paper aims to examine the impact of entrepreneurial orientation (EO) and government support programs (GSP) on new product performance in Korean Small and Medium-sized Enterprises (SME). We specifically focus on the interaction between these two factors and their influence on the new product performance of Korean SMEs. Research design, data, and methodology - We collected survey questionnaires from SMEs that are certified with Inno-biz by the Korean Ministry of SMEs and Startups. The collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result - Based on the analysis, our findings indicate that the proactiveness and innovativeness dimensions of EO have a positive effect on new product performance. However, the risk-taking dimension of EO has a negative effect. Additionally, GSP exhibit both positive and negative moderating effects on different dimensions of EO. Conclusion - It is important to recognize that GSP are not a universal solution for all challenges faced by SMEs. Hence, it is crucial for policy-makers to have a clear understanding of SMEs' capabilities and the level of EO dimensions in order to identify types of GSP that could lead to positive outcomes, while minimizing the negative effects of GSP.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.8-16
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• 2021

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.829-837
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• 2021

The study investigates the impact of the Counter-Cyclical Buffer Policy (CCB) on regional development bank profitability in Sumatra, Indonesia. CCB requires banks to hold capital at times when credit is growing rapidly so that the buffer can be reduced if the financial cycle turns down or the economic and financial environment becomes substantially worse. This study employs time series data of regional development banks (RDBs) in Sumatra Island, Indonesia. The methodology applied in this study is a panel dynamic model with Generalized Methods of Moments (GMM). The results show that increasing capital through the implementation of CCB did not have a significant effect on RDBs' profitability. The findings of this study suggest that the activation and implementation of CCB lead to an increase in the amount and cost of loans to companies but do not affect the profitability of RDBs. The value of a Non-Performing Loan (NPL) proved to have a negative and significant effect on bank profitability. The CCB policy aims to overcome the pro-cyclicality of credit growth and improve bank resilience through increased capital which is expected to reduce excessive credit growth as a source of systemic risk. This causes a lack of lending to the community so that the profits obtained by the bank decrease.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.1-14
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• 2020

Purpose - The propose of this study is to examine the effect of human development index on mobile telephony diffusion. Design/methodology/approach - This study fits the modidensity of South Asian Association for Regional Cooperation (SAARC) member countries with an econometric Gompertz growth model. The diffusion factors, including the human development index (HDI), gross domestic product (nominal) per capita, fixed-line telephony subscription, and population data of each member country from 2005 to 2018 are considered for the empirical experiment. Furthermore, the mobidensity of randomly sampled countries with very high human development scores (the Republic of Korea, Switzerland and Norway) and high development scores (Brazil and Costa Rica) have been examined with the same process as SAARC members. Findings - We have found a positive but insignificant relationship between the HDI value and mobile telephony diffusion in Afghanistan, Bangladesh, Bhutan, India, and Pakistan; a positive and statistically significant relationship at a 99% confidence level in SriLanka; and a negative and insignificant relationship in the Maldives and Nepal. HDI has both positive and negative effects on mobile telephony diffusion, with the nature of effect depending on the profiles of each country. HDI is a diffusion determinant of mobile telephony only for the high human development country groups. Research implications or Originality - This study provides a reference for policymakers, telecommunication stakeholders, and future researchers to design the telecommunication policies and strategies.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.103-112
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• 2013

After 1990s, the influence of construction industry has been decreased on national economy and construction business condition has been changed on economic recession and boom repeatedly. Larger fluctuation of business condition makes a forecast of it to be more difficult. Uncertainty in business prediction results in damages on construction companies and stakeholders. Therefore, study on forecasting a construction business is very important. This study suggests the Construction Industry Production Index(CIPI) to predict a construction business in consider of temperature effects. The results show that construction business is much influenced by temperature effects certainly and GDP. With the CBFM, this study examines CIPI for 2013 with two scenarios: 1)with GDP growth rate of 3.5% 2)with GDP growth rate of 2.4%. Thus, CIPI would be used as the economic state index to display the construction business conditions. Also, CIPI will be utilized as basic methodology in the impact of climate change in the construction industry.