• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.117-157
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• 2021

This research reviewed the HIPAA/HITECH, 21st Century Cures Act, Common Law, and private Guidances from the perspectives in protecting and utilitizing the medical data, while implications were followed. First, the standards for protection and utilization are relatively clearly regulated through single law on personal medical information in the United States. The HIPAA has been introduced in 1996 as fundamental act on protection of medical data. Medical data was divided into personally identifiable information, non-identifying information, and limited dataset under HIPAA. Regulations on de-identification measures for medical information, objects for deletion of limited data sets, and agreement on prohibition of data re-identification were stipulated. Moreover, in the 21st Century Cures Act regulated mutual compatibility for data sharing, prohibition of data blocking, and strengthening of accessibility of data subjects. Common Law introduced comprehensive consent system and clearly stipulates procedures. Second, the regulatory system is relatively simplified and clearly stipulated in the United States. To be specific, the expert consensus and the safe harbor system were introduced as an anonymity measure for identifiable medical information, which clearly defines the process while increasing trust. Third, the protection of the rights of the data subject is specified, the duty of explanation is specified in detail, while the information right of the consumer (opt-out procedure) for identification information is specified. For instance, the HHS rule and FDA regulations recognize the comprehensive consent system for human research, but the consent procedure, method, and requirements are stipulated through the common rule. Fourth, in the case of the United States, a trust-based system is being used throughout the health and medical data legislation. To be specific, Limited Data Sets are allowed to use in condition to the researcher's agreement to prohibit re-identification, and de-identification or consent process is simplified under the system.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.177-193
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• 2013

The study investigated how did Credu pioneer Korean e-Learning market and reinforce their core competencies and how did they promote business diversification analyzing type of learning motives and examining Credu real cases. Under the fierce competition in the current e-Learning market, Credu has maintained their core competencies and strengthened an active communication channels with customers with focusing on investment to core businesses. Credu has introduced more adventurous and challenging products and services with creating a new model for the types of learning motives. This study could introduce the new perspective about the type of learning motives in e-Learning area. Also, the case study of successful e-Learning company, Credu, could contribute to make more spread e-Learning market techniques in this field in practice.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.53-66
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• 2012

The purpose of the study was to examine the relationships among gender, shopping motivations, flow experience, and purchases using structural equation modeling. Shopping motives were included in the study: self-refreshment, idea seeking, social interaction, product acquisition, and value seeking. Data from 452 male and female respondents were employed to test the model. Empirical findings supported that the proposed model was a good fit to data. Gender played an influential role in shopping motives. All motives except for product acquisition motive significantly influenced flow experience. Flow experiences enhance the purchasing. This study contributed the literature by providing a conceptual foundation of how gender and shopping motivation influence flow experience.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.445-454
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• 2018

The purpose of this paper is to present the direction of emotional lighting design of a new concept suitable for the user's living environment based on the experiment and the result of the recognition of the cognitive effect of the color of the lighting on the user's sensibility. As a research method, we collected meaningful results of color temperature and emotion of light through literature research and experimented with users in their twenties. Based on this, we presented the design direction of emotional lighting. As a result, we designed emotional lighting that can transform the shape of the four joints freely to realize the user's demand. We also derive the color temperature of light that can be optimized for the user's work and environment, Concentration, mood, and relaxation. The result of this paper is meaningful and worthy of suggesting emotional lighting design with user - oriented new perspective, deviating from previous method of planning lighting.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.531-537
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• 2014

As Fashion becomes more important in the field of fashion styling and fashion stylists' roles, there has been a strong demand for more unique and stylish fashion. Under these circumstances, the fashion stylist has upgraded the fashion industry as an expert in various fields. The fashion stylist's roles include creation of a fashion image depending on circumstances, improvement of contributionsto product awareness and advertisements by inspiring curiosity and interest from customers and promotion of purchase behaviors. In addition, the fashion stylist should be able to create appropriate attire and hairdos for models in fashion magazines depending on the theme and concept of the fashion and have keen insight, fashion sense and appropriate analyzing and planning skills to follow current trends. This study has investigatedthe field of fashion styling, which has emerged recently and fashion stylists' roles. It appears that fashion styling could develop into a high-growth, high value-added industry as a professional occupation that helps customers have an appropriate fashion sense.

• Human Ecology Research
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• v.55 no.5
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• pp.507-526
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• 2017

To infer the true state of a regional product's attributes, consumers use the image they have of the product's region of origin; however, products may have multiple countries of origin in their design, branding, sourcing and manufacturing becuase more products are increasingly a result of multi-firm and multi-country efforts. We examined how the country-of-origin image (country image and product image) affect international consumers' perceived value (function value and symbolic value) and purchase intentions of made-in China goods by extending and deepening the flexible model. Second, to investigate the differences of COO effects according to different types of country-of-origin we divided the traditional country-of-origin into two components: country-of-manufacture (COM) and country-of-brand (COB). We then explore how the impact of China's country image on consumers' perceived value and purchase intentions varies when China is the COM or COB of the same product. Six hypotheses were proposed to test our anticipations. We recruited 800 Korean adult consumers who previously purchased made-in China products to participate in the online investigation. Data analyses were conducted with confirmatory factor analysis and structural equation modeling using SPSS and AMOS. The main results are discussed as follows. First, the effects of China's COO image on Korean consumers' perceived value and purchase intentions vary when China is the COM or COB of a product. Second, a positive effect of the function value and symbolic value on the purchase intentions was found. Literature and practical implications of findings are discussed and suggested in the conclusion.

• 대한예방의학회:학술대회논문집
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• 2001.04a
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• pp.1-26
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• 2001

국가 보건의료체계(health care system)가 올바르게 기능하기 위해서는 의료체계를 구성하는 각 요소들간의 유기적인 상호 작용이 대단히 중요하다. 정보체계는 이러한 유기적인 상호 작용을 위해 보건의료체계의 각 영역에서 꼭 필요한 시스템이다. 보건의료 서비스를 효율적으로 생산하기 위해서 투입하는 자원의 개발과 배치 체계는 물론 생산된 보건의료 서비스를 소비자가 효과적으로 이용할 수 있도록 하는 서비스 전달체계(delivery system)의 전과정에서 보건의료정보체계는 중요한 인프라가 되고 있다. 정보체계는 궁극적으로 보건의료체계가 지향하는 목적을 달성할 수 있도록 짜여져야 한다. 다시 말해, 의료체계의 각 하부영역에서 의료이용의 접근성(accessibility), 형평성(equity), 서비스의 의과학적 질(scientific technical quality), 포괄성(comprehensiveness) 등 보건의료체계가 추구하는 가치를 정보체계에서도 그대로 담아 낼 수 있어야 한다. 또한 정보체계를 구축하기 위한 요건으로 각 사업 영역별 표준화, 사업 영역간의 상호관계, 공공과 민간의 역할 분담, 정보 관련 시선과 인력, 정보기술 등의 인프라, 각 사업 영역별 정보화에서 담아야 할 정보 내용(contents, DB) 등에 대한 사전 기획이 수립되어야 한다. 그 동안 보건의료분야의 정보화사업은 1996년부터 보건소기관의 행정, 진료, 보건 업무지원을 위한 보건소정보화사업과, 1995년부터 초고속공공응용서비스 사업의 일환으로 추진해 온 전염병, 혈액유통, 장기이식, 외래진료예약, 원격진료, 응급의료, 원격치매진료 시스템 구축사업 등이 있으며, 응급의료, 혈액관리, 장기이식, 전염병정보, 외래진료예약시스템을 통합한 보건의료정보통합서비스시스템(1998년) 구축사업 등이 있었다. 이러한 사업들에 대해 현재 평가되고 있는 문제점들로는 정보화 사업에 대한 전략과 비젼이 부재한 상태에서 지나치게 정보기술 중심으로 추진되다 보니 보건의료 정보의 공유나 활용이 전혀 이루어지지 않거나 매우 제한적이었고, 시범사업의 경우는 초기 사업을 추진하기 위한 주체가 명확하지 않았고, 관련 인력의 훈련과 양성이 안 되었으며, 사업 확대를 위한 법적 기반의 취약, 정보화 사업이 부실한 데 대한 평가 기준과 대안 제시 등이 매우 취약한 것이 문제점으로 나타났다. 특히, 정보 내용과 DB 구축을 위한 표준화 등에 대한 사전 설계 부재는 개발된 정보시스템의 운영을 결정적으로 어렵게 만든 요인이 되고 있다. 전반적으로 기존의 정보화사업은 사업 추진을 위해서 꼭 필요한 비젼 수립, 비젼에 따른 목표 설정, 전략 개발, 관리체계 구축, 운영방안 수립 등 단계적인 정보화 계획이 부재한 것으로 평가되고 있어 보건의료정보체계 구축을 위한 종합 비젼 기획(ISP)이 시급한 실정이다.

• The Korean Journal of Applied Statistics
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• v.1 no.2
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• pp.82-90
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• 1987

모든 과학기술지식은 객관성을 지닌 관찰과 실험과 측정에 의해서 이루어진다. 이렇게함으로써 과학기술지식은 재현성과 영구성을 가져오게 되며, 올바른 전승과 누적적 발전을 가져오는데 이 과학기술지식의 질서체계를 유지하는데 근본적인 역할을 하는 것이 표준이다. 시간, 길이, 온도, 무게 등의 기본 측정단위와 광속, 중력 등의 물리화학적 상수, 법정계량단위, 각종 공업 규격, 안정 규정 등 수 없이 많은 표준은 효과적인 공동 인식과 객관적 판단의 기준으로 활용되고 있다. 현대의 과학기술이 다양하게 발전하고 이에 따라 우리의 생활도 더욱 복잡한 구조를 이루면서 표준에 대한 필요성도 더욱 높아가고 있다. 표준에 대한 깊은 생각없이도 우리는 자동차에 주유할때 표준단위를 통해 원하는 분량을 말하며, 카메라의 필름 종류를 선택할 때도 국제표준기구(ISO: International Standards Organization)의 규격을 사용하는데 익숙해져 있다. 이렇게 표준은 우리 일상생활과 밀접한 관계에 있으나 소비자 입장에서는 그 가치를 절실히 느끼지 못한 것이 사실이며 표준이 없음으로 해서 일어나는 불편과 혼란에 대해서는 무관심한 것이 사실이다. 일상생활에서 일어나는 표준의 역할을 우리가 잘 이해한다면 표준이 왜 필요한가를 쉽게 인식하게 될 것이다. 최근 정보산업이 새로운 물결로 사회전반에 영향을 미치고 있으며 이에 따라 정보의 수집, 가공, 저장 및 배포의 처리 과정에서도 제반 표준화의 필요성이 크게 대두되었다. 그 결과로 최근 10여년간에 수백종의 기술기준, 지침서 및 기본/기능 표준규격이 제정되어 왔다. 이와 같이 어떤 특별한 영역에서의 표준에 대한 요구가 있을 때 관련 규격이 제정되게 된다. 표준의 제정을 위한 다음 단계는 그 주제에 관한 표준(또는 규격)개발에 관심을 가진 사람들이 모이는 일일 것이다. 통계분야에서도 몇가지 표준화 활동이 ISO 를 중심으로 진행되고 있다. 예를 들면 실험과 검증 결과의 표현과 해석, 표본추출 방법 등에 관한 것으로 이들은 통계의 응용분야에서 꼭 필요한 표준이다. 구체적인 예로서 우리나라 국민의 표준체위값을 설정하기 위하여 측정조사할 때 측정방법 뿐 아니라 표본추출 방법과 통계자료 처리과정의 표준화가 이루어 지지 않는다면 각 기관에서 조사 발표하는 체위관계 자료가 상이하여 국가기관의 통계자료에 대한 신뢰성이 저하되고 통계값을 이용하여 의류, 신발 등의 제품을 제조하는 산업계에 혼란을 야기시킬 수 있다. 본 고에서는 ISO의 활동을 정보처리 분야에 초점을 맞춰 간략하게 설명하고 통계분야의 국제 활동을 비전문가인 필자들이 아는대로 소개하는 한편 국내활동의 필요성을 강조하여 관련 기관, 학계 및 산업계 관련전문가들의 ISO 국내활동 참여를 제의하고자 한다.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.11-22
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• 2012

As the consuming pattern is changing with the expansion of Internet use and the development of communication technology, Internet shopping market is getting bigger and bigger. By product group, clothing and fashion related products occupy the biggest share. Accordingly, in this study it was tried to identify the effects of Internet utilization capability that enables consumers to search for the information that they need in this information flood, variety pursuit trend and product review accommodation status on shopping value, and to analyze the effects of the shopping value on the purchase behavior in online shopping malls. When factor analysis is nude on Internet use level, it was found that Factor 1 was 'Flow Experience,' Factor 2 'Internet Use Capability,' and Factor 3 'Internet Challenge Desire.' When factor analysis is made on Diversity Pursuit Propensity, it was found that Factor 1 was 'Site Diversity Pursuit Propensity,' Factor 2 'Brand Diversity Pursuit Propensity,' and Factor 3 'Brand Value Pursuit Propensity.' When factor analysis is nude on Product Review Accommodation Propensity, it was found that Factor 1 was 'Product Information Provision Propensity,' and Factor 2 'Product Information Receiving Propensity.' Except Internet Use Capability and Product Information Provision Propensity, all other factors showed high correlation. The factor influencing the entertainment value most was Internet challenge desire, while that influencing the practical value most was flow experience. When the effects of the entertainment value and the practical value on product purchase were analyzed, it was found that both of entertainment value and the practical value influenced product purchase and the practical value influenced the product purchase more than the entertainment value.