• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.22-29
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• 2015

The purpose of this study is to investigate the details of the overall interior design of the department store supermarket retail space, interior design and development, seeks to help change. In this study, a range of research the department store supermarket located in the major department store. Since 2012, new construction or renewal has been done in a department store, was investigated by selecting a total of five locations of two places in the premium supermarket. Conclusions are as followings ; First, In-store merchandising strategies, store configuration strategy, product mix strategies, and the layout plan considering the advanced strategies. Secondly, the interior guidelines are, (1)VP should be planned as an expression of a company or brand management strategies to visualize a concept image of product planning stages of merchandising to entering the store to induce curiosity to customers. (2)PP is by planning purposes, the use of lighting, directing structure, color harmony, by utilizing such as props and small parts must be able to attract attention. (3)IP is the customer to organize display, depending on the type of the display items to facilitate fraud, and the fixture plan in association with it, the customer selects a product must induced to purchase.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.25-31
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• 2017

Purpose - This study examines car accidents that occurred in South Korea territory, and analyzes criminal liability of the offender and certain issues of driver's insurance, but a civil liability to the injured is excluded as civil liability belongs to auto insurance. Research design, data, and methodology - With carrying out this research, case study of driver's liability and literature review were adopted throughout. For this, car accidents that occurred in South Korean territory were examined and then criminal liability of the offender and certain issues of driver's insurance were analyzed. Results - From this case study on driver's liability it was found that the offender cannot receive insurance money from the insurer irrespective of the valid drive insurance, if there is no 'bill of agreement of criminal consensus'. This study suggests some ideas, offers suggestions of convenience and assistance of qualified claim staff to overcome a hurdle of drive insurance. Conclusions - As long as the accident is not a fraud and scam by the parties concerned, advance payment of agreement of criminal consensus is required to the insured, the policy holder within the limit of liability of driver insurance, on condition that the drive insurance is valid.

• Journal of Research and Publication Ethics
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• v.1 no.2
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• pp.1-5
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• 2020

Purpose: The purpose of this paper is to identify the most common misconducts in publication ethics, to demonstrate KODISA journals' management of the misconducts, and to share the findings with future and potential authors of Journal of Research and Publication Ethics (JRPE). Research design, data and methodology: This is an analytical study that explores and examines research and publication ethics and misconducts. Results: Based on literature review, major publication misconducts that many academic journals had to contend with over the years encompass unethical authorship, including ghost, guest, and gift authorships, data falsification and fabrication, plagiarism, including self-plagiarism, submission and publication fraud (multiple submission and publication), and potential conflicts of interest. Conclusions: KODISA and its journals have strived and done great work in making the journals transparent and in combatting the issues associated with plagiarism, including self-plagiarism. However, it seems there is no mechanism to detect or deter unethical authorship, conflicts of interest, and fabrication and falsification misconducts. The inception of JRPE signifies how KODISA and its journals continuously view research and publication ethics as their foremost important factor in maintaining and improving the academic journals. The future research and scholastic manuscripts of JRPE could provide necessary and updated information about research and publication ethics, practices, and misconducts.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.213-224
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• 2020

The study assesses the impact of trade liberalization factors on changes in customs revenues in Vietnam. Research data was conducted between 2002 and 2017 on the official website of the Government's Web Portal and The World Bank. This paper uses the vector error correction model to estimate the short-term and long term relationship between data series. The results have proven that tariff reductions have a positive effect on short-term and long-term customs revenues in Vietnam. However, the implementation of other international commitments on trade liberalization has positive short-term and long-term negative impacts on customs revenues in Vietnam. The study's results also show that exchange rate has no effect on changes in customs revenues in the short term but it has a strong impact on increasing customs revenues in the long run. Based on these findings, the article also suggests a number of policies to ensure customs revenues in Vietnam in future. In order to ensure customs revenues, the government of Vietnam should: (1) having some policy to improve the efficiency of customs management in Vietnam; (2) Building appropriate VND exchange rate policy; (3) Establishing reasonable non - tariff barriers to prevent fraud and ovations cause losses in customs revenues.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.835-846
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• 2020

BEC (Business Email Compromise) attacks are frequently occurring by impersonating accounts or management through e-mail and stealing money or sensitive information. This type of attack accounts for the largest portion of the recent trade fraud, and the FBI estimates that the estimated amount of damage in 2019 is about $17 billion. However, if you look at the response status of the companies compared to this, it relies on the traditional SPAM blocking system, so it is virtually defenseless against the BEC attacks that social engineering predominates. To this end, we will analyze the types and methods of BEC accidents and propose ways to effectively counter BEC attacks by companies through AI(Artificial Intelligence).

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.475-487
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• 2020

The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.1-7
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• 2019

The Kakao bank can be conveniently used if there are only smartphones, identity cards, and bank accounts. However, a few days before the inauguration of Kakao Bank, the company opened an account for receiving loans from other people. In order to avoid such cases, the financial transactions will be detected if the SDS is withdrawn at a short interval of time. The detection system of FDS has four functions which are monitoring and auditing, collection, analysis, and response. There are security problems of the cocoa banks in various directions. The Kakao bank has a way to respond to the problem using FDS.: Keywords : Cocoa bank, security issues, information protection, FDS

• Journal of Distribution Science
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• v.19 no.9
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• pp.19-27
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• 2021

Purpose: Purchasing food via online shopping channels is booming during Covid-19 Pandemic in Vietnam. However, the perceived risks of food bought via online shopping channels may discourage consumers. Hence, this study assesses the effects of perceived risks on food purchase intention via online shopping channels in Vietnam. Research design, data and methodology: This study applied the multiple regression analysis with 253 samples collected from consumers who frequently purchase food via online shopping channels in Vietnam. The questionnaire is provided to respondents via Google Form. The sample collection method is convenience sampling. Three hundred samples were collected, but 253 samples are used after filtering the responses with missing data. The Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The results show that product risk, security risk, time risk, and fraud risk of the seller negatively affect the intention to buy food via online shopping channels in Vietnam. Conclusions: The study provides several implications and recommendations for food companies and online food sellers. Reducing customers' perceived risks online food makes customers more willing to buy food online during Covid-19 Pandemic. Limitations and suggestions for further research are also discussed.

• Journal of Distribution Science
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• v.21 no.3
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• pp.113-121
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• 2023

Purpose: Online distribution channel alludes to the many different digital channels utilized in marketing and distributing goods and services to end users. The present research aims to explore and provide various retail strategy for the success of the art market within online distribution channel. Research design, data and methodology: The current author has conducted and investigate the qualitative textual methodology to take a look at carefully the current and prior literature dataset to achieve the purpose of the present research so that the present author could obtain total 27 relevant prior studies. Results: According to the comprehensive literature investigation, this research has found that there are six kinds of retail strategy for the prosperity of the art market within online distribution channel as follows: (1) Blockchain Technology, (2) Artificial Intelligence (AI), (3) Virtual Reality (VR), (4) Online Market Places, (5) Social Media, and (6) Regulations. Conclusions: The results of this analysis of the relevant literature show that the art market industry needs to adjust to keep up with the quickly shifting landscape of the digital world. In addition, although these technologies can be helpful in addressing difficulties linked to authenticity and transparency, they cannot eliminate the hazards of fraud and misrepresentation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.303-304
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• 2021

In the 21st century, as we enter the Fourth Industrial Revolution, research in various fields utilizing big data is being conducted, and innovative and useful technologies are constantly emerging in the world. Among several technologies recently in the big data era, among various fields utilizing some algorithms of artificial intelligence, it shines in the field of finance and is used for pin tech, financial fraud detection and risk management, etc., and recently Even in the booming stock market, it is used for investment prediction and investment factor analysis using artificial intelligence algorithm models. In this paper, we plan to investigate various research cases and investigate trends in how they are used in the stock market through artificial intelligence that utilizes big data.