• 제목/요약/키워드: Private data

검색결과 2,533건 처리시간 0.032초

저관여 생필품 소매업체상표 구매자의 특성: 스캐너 데이터 분석 (Characteristics of Private Label Users of Low Involvement Products: Scanner Data Analysis)

  • 조재운
    • 유통과학연구
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    • 제17권5호
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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.

PC에서 중요개인정보의 패턴 검색과 완전삭제방법 연구 (The Pattern Search and Complete Elimination Method of Important Private Data in PC)

  • 서미숙;박대우
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 춘계학술대회
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    • pp.213-216
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    • 2013
  • 인터넷의 발달과 유무선 네트워크 인프라 기술의 발전으로 빅테이터 및 개인정보보의 활용이 많아지고 있다. 하지만 개인정보보호법의 시행에도 불구하고, 개인정보 유출로 인한 침해사고가 발생하고 있다. 개인정보 유출은 개인의 사생활피해와 금융피해로 연관된다. 따라서 개인정보의 탐색 및 검출과정에서 개인정보의 패턴을 분석하여 추출하는 연구와 불필요한 개인정보의 완전삭제에 관한 연구가 필요하다. 본 연구에서는 개인정보보호에 대한 패턴추출 연구와 완전삭제 방법을 연구하여 개인정보의 패턴추출 및 완전삭제 실험을 하였다.

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빅데이터 개인정보 취급에 따른 문제점 분석 (Analysis of problems caused by Big Data's private information handling)

  • 최희식;조양현
    • 디지털산업정보학회논문지
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    • 제10권1호
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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.

Analysis on the Production Efficiency of Private Industrial Enterprises in 31 Provinces of China

  • GAO, Xin;KIM, Hyung-Ho;YANG, Jun-Won
    • 융합경영연구
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    • 제9권3호
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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.

Foreign Remittances, Banking Sector Development and Private Sector Investment

  • GITHAIGA, Peter Nderitu
    • Asian Journal of Business Environment
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    • 제10권1호
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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.

공공데이터 활용성 제고를 위한 권리처리 플랫폼 구축 전략 (Strategy for Establishing a Rights Processing Platform to Enhance the Utilization of Open Data)

  • 심준보;권헌영
    • 한국IT서비스학회지
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    • 제21권3호
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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.

Private Cloud 환경 내에서 모바일 에이전트를 이용한 IoT 데이터 처리 프레임워크 설계 (IoT Data Processing Framework Design using Mobile Agent in Private Cloud Environment)

  • 최강임;최영근
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.329-330
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    • 2016
  • Private Cloud 환경 내에서는 다양한 IoT 디바이스들의 데이터들이 수집되고 클라우드 서비스 사용자들은 다양한 수집된 데이터를 제공받는다. 이에 편리한 데이터 활용을 위해 모바일 에이전트를 이용한 IoT 데이터 처리 프레임워크를 제안한다.

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Private Brand 제품구매에 미치는 영향 연구 (A Study on the Consumer Factors Affecting Private Brand Proneness)

  • 윤차영;권영상
    • 산업융합연구
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    • 제2권1호
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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.

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개인정보 보호를 위한 데이터의 자가 초기화에 대한 고찰 (A Study on the Self-destructing Data for Information Privacy)

  • 김종욱;강석인;홍만표
    • 정보보호학회논문지
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    • 제23권4호
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    • pp.629-638
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    • 2013
  • 최근 개인정보 보호에 대한 관심이 높다. 디지털로 변환된 정보는 인터넷을 통해 쉽게 전달되고 개인별 맞춤 서비스를 위해 서비스 제공자가 사용자의 개인정보를 요구하는 경우가 많아졌다. 사용자들은 서비스 제공자들에게 정보를 제공할 때 암호화를 통해 안전하게 전달하면 공유된 개인 정보가 안전하게 보호된다고 판단하고 있으나 서비스 제공자가 활용한 개인 정보를 정확한 시점에 파기하지 않고 필요 이상으로 오랫동안 보관함으로써 정보 유출의 가능성을 높이는 경우가 많다. 개인정보를 필요한 기간만큼만 보관하고 필요가 없을 경우 삭제하거나 초기화 한다면 개인정보의 유출 가능성을 훨씬 낮출 수 있다. 본 논문에서는 개인정보 보호를 위한 데이터 자가 초기화 기법에 대해 고찰하고 문제 해결을 위해 유리 상자 모델을 제안한다.

Financial Development and Economic Growth in Korea

  • HWANG, SUNJOO
    • KDI Journal of Economic Policy
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    • 제42권1호
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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.