• Journal of Distribution Science
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• v.17 no.5
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• pp.95-102
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• 2019

Purpose - The purpose of the research is to identify the demographic characteristics of the customers with high private label purchase intention. According to the previous research demographics such as gender, age, income, and residence type affect private label purchase intention indirectly through psychographics rather than directly. For instance, higher income group is time pressured, price-insensitive, quality-sensitive, less likely to enjoy shopping utilitarian products, and less likely to be variety-seeking. The main contribution of this research is to verify the results found in the previous empirical foreign research using scanner data and to investigate the differences of the characteristics of private label users between Korea and the foreign countries. Research design, data, and methodology - In order to empirically test the proposed hypotheses, scanner data of a Korean major super center was analyzed. Results - Empirical results show that private labels are more favored by old people over 50s, dwellers in individual house, lower income group, and frequent store visitors. Age of 30s, dwellers in the apartment of 30 pyung, higher income group, and consumers who purchased a large amount are less likely to purchase private labels. Gender turned out not to affect private label purchase. It should be noted that there is a significant multicollinearity among independent variables. Conclusions - The research findings provide managerial implication for retailers' private label strategy. In general, retailers heavily send private label coupons to the customers with high purchase volume. According to the research, however, store visit frequency is much more positively associated with private label purchase than purchase amount. The study has some limitations. The samples are only consumers with private label purchase experience. The data were drawn from one store and only 8 commodity products were used for the analysis. Also, if more demographics were available, a more complete description on the private brand users' profile could have been derived. We propose the following future research. Research using the data including consumers without private label experience, research investigating direction of causality between private label loyalty and store loyalty, and research using hedonic private label products such as TV and PC could be promising.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.213-216
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• 2013

Big data, the use of privacy has been increasing to the development of wireless network infrastructure or technology development and wired Internet. By the way, Enforcement of private data preservation law the infringement accident which is still caused by despite with private data outflow occurs. The private data outflow avoids finance and to become the fire tube. Analyzes the pattern of private data from search of private data and detection process and the research which it extracts and the research is necessary in about perfection elimination of the private data which is unnecessary. From the research which it sees it researched a pattern extraction research and a complete elimination method in about private data protection and it did the pattern extraction and a complete elimination experiment of private data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.89-97
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• 2014

Recently, spread of Smartphones caused activation of mobile services, because of that Big Data such as clouding service able to proceed with large amount of data which are hard to collect, save, search and analyze. Many companies collected variety of private and personal information without users' agreement for their business strategy and marketing. This situation raised social issues. As companies use Big Data, numbers of damage cases are growing. In this Thesis, when Big Data process, methods of analyze and research of data are very important. This thesis will suggest that choices of security levels and algorithms are important for security of private informations. To use Big Data, it has to encrypt the personal data to emphasize the importance of security level and selection of algorithm. Thesis will also suggest that research of utilization of Big Data and protection of private informations and making guidelines for users are require for security of private information and activation of Big Data industries.

• The Journal of Economics, Marketing and Management
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• v.9 no.3
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• pp.11-21
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• 2021

Purpose: The purpose of this study is to understand the status quo of production efficiency in private industrial enterprises above designated scale in China's 31 provinces (including municipalities directly under the central government, autonomous regions) (hereinafter referred to as China's 31 provinces). Research design, data and methodology: Find out the factors affecting the development of production efficiency in private industrial enterprises, using DEA, Data Envelopment Analysis and Malmquist index analysis, build the evaluation model of production efficiency in private industrial enterprises, and analyze the data of China's 31 provinces private industrial enterprises in 2015-2019. Results: The research results show that the production efficiency of private industrial enterprises in China is improving on the whole. Although the total factor productivity has decreased slightly, the overall efficiency and pure technical efficiency have increased significantly. Conclusions: The conclusion of this study can provide reference for Chinese private industrial enterprises to improve production efficiency and make development plan. The limitation of this paper lies in the fact that the private industrial enterprises in inefficient provinces have not been given specific improvement plans.

• Asian Journal of Business Environment
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• v.10 no.1
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• pp.7-18
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• 2020

Purpose- This study seeks to investigate the impact of foreign remittances on private sector investment and the moderating role of banking sector development in Sub-Saharan African Countries. Research design, data, and methodology-The study has used a sample of 15 Sub-Saharan African countries and data for the years 1986 - 2017. Data was obtained from the World Bank Development Indicator (WDI) Database. Panel data diagnostic tests were conducted to ascertain the suitability of the data for regression analysis. The data was analyzed through descriptive and inferential statistics, while the hypothesis was tested through hierarchical regression analysis. Results- The finding of this study indicates that foreign remittances and banking sector development had a significant and positive effect on private investment in Sub-Saharan Africa. Besides, the banking sector development significantly moderated the foreign remittances and private sector investment relationship. Conclusions- Based on the results, the study concludes that banking sector development has an important influence on foreign remittances and private sector investment nexus. Due to the antagonistic interaction between foreign remittance and banking sector development, the study recommends the use of alternative ways of channeling remittances to private investment such as; issuance of diaspora bonds and appeal for direct investment by citizens living abroad.

• Journal of Information Technology Services
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• v.21 no.3
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• pp.27-42
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• 2022

Open Data is an essential resource for the data industry. 'Act On Promotion Of The Provision And Use Of Public Data', enacted on July 30, 2013, mandates public institutions to manage the quality of Open Data and provide it to the public. Via such a legislation, the legal basis for the public to Open Data is prepared. Furthermore, public institutions are prohibited from developing and providing open data services that are duplicated or similar to those of the private sector, and private start-ups using open data are supported. However, as the demand for Open Data gradually increases, the cases of refusal to provide or interruption of Open Data held by public institutions are also increasing. Accordingly, the 'Open Data Mediation Committee' is established and operated so that the right to use data can be rescued through a simple dispute mediation procedure rather than complicated administrative litigation. The main issues dealt with in dispute settlement so far are usually the rights of third parties, such as open data including personal information, private information such as trade secrets, and copyrights. Plus, non-open data cannot be provided without the consent of the information subject. Rather than processing non-open data into open data through de-identification processing, positive results can be expected if consent is provided through active rights processing of the personal information subject. Not only can the Public Mydata Service be used by the information subject, but Open Data applicants will also be able to secure higher quality Open Data, which will have a positive impact on fostering the private data industry. This study derives a plan to establish a rights processing platform to enhance the usability of Open Data, including private information such as personal information, trade secrets, and copyright, which have become an issue when providing Open Data since 2014. With that, the proposals in this study are expected to serve as a stepping stone to revitalize private start-ups through the use of wide Open Data and improve public convenience through Public MyData services of information subjects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.329-330
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• 2016

In the Private Cloud Environment, the data are collected by a variety of IoT devices and Cloud service users be provided with a variety of data collected. To take advantage of this convenient data, we propose the IoT data Processing framework using mobile agent.

• Journal of Industrial Convergence
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• v.2 no.1
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• pp.159-186
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• 2004

One of the biggest change in the distributive market recently is that the development of private brand is progress actively since consumers purchasing behavior is tend to shift to resonable and practical planned purchase from brand image or brand name. Once the development of private brands is done successfully, the independent merchandising distinguished from other distribution companies is established, store image through customer satisfaction is strengthen and volume of sales and profit are increased. However, the existing studies in this field have not dealt with this matter systematically. Therefore, the purpose of this study is to propose an integrated framework within which to view private brand proneness. Factors found to influence private brand proneness included perceived cost, with private brand, perceived value for money, store fame, perceived risk, perceived quality variation between national and private brand products. Foe empirical analysis, the data were collected from 211 consumers who purchased the private brands in discount store and department store. With the collected survey data, reliability test, factor analysis for validity test and regression analysis for hypotheses test were conducted. Most hypotheses were accepted but on hypotheses were rejected negative relation of perceived cost and private brand proneness. Research results indicate that private brand proneness is affected by perceived value, perceived fame and there are negative relation between private brand proneness and perceived quality variation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.629-638
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• 2013

Recently the interest in the information privacy has been growing. Digital data can be easily transferred via Internet. Service providers ask users for private data to give customized services. Users believe that their shared data are protected as they deliver their private data securely. However, their private data may be leaked if service providers do not delete or initialize them when they expire. The possibility of information leak may lower if the service providers deal with users' private data properly. In this paper, we study the self-destruction of private data for information privacy and propose the glass-box model.

• KDI Journal of Economic Policy
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• v.42 no.1
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• pp.31-56
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• 2020

Does financial development contribute to economic growth? The literature finds that an expansion in financial resources is useful for economic growth if the degree of financial development is under a certain threshold; otherwise, the expansion is detrimental to growth. Almost every published study, however, considers country-panel data. Accordingly, the results are not directly applicable to the Korean economy. By examining Korean time-series data, this paper finds that there is an inverse U-shaped relationship between the per capita real GDP growth rate and private credit (as a percentage of nominal GDP)-a well-known measure of quantitative financial development, where the threshold is 171.5%. This paper also finds that private credit is positively associated with economic growth if the share of household credit out of private credit is less than 46.9%; otherwise, private credit is negatively associated with economic growth. As of 2016, the ratio of private credit to GDP and the ratio of household credit to private credit are both higher than the corresponding thresholds, which implies that policymakers should place more emphasis on qualitative financial development than on a quantitative expansion of financial resources.