• 통상정보연구
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• 제13권4호
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• pp.485-516
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• 2011

한국은 세계에서 0.7%의 인구와 0.07%의 국토면적을 차지하는 체형이 작은 나라이다. 그럼에도 불구하고 2010년 한국의 수출은 세계 순위 7위를 달성하여 무역강소국의 지위를 다시 한 번 입증하게 되었다. 그러나 한국은 2008년 하반기부터 시작된 미국발 금융위기와 2010년부터 시작된 유럽 재정위기로 인한 글로별 경기침체에 복합적으로 종속되어 있는 고민을 떨쳐버리지 못하고 있는 실정이다. 결국 성장과 고용창출의 한계에 직면하면서 서비스산업의 발전과 동시에 서비스수출의 중요성이 재차 강조되고 있는 상황이다. 본 연구는 이와 같은 국내외적 경제무역 환경에서 서비스수출에 직간접적으로 기여할 수 있는 MICE 산업 관련 중소기업의 사례를 통하여 서비스 부문의 수출원가에 대한 분석을 시도한 것이다. 이를 통해 해외 수출경험이 많지 않은 한국의 중소기업들에게 서비스수출을 증대시킬 수 있도록 동기를 부여하고 제반 정책적 지원책을 강구할 수 있도록 대안을 모색하는 데에 연구의 목적을 두고 있다. 본 연구는 기본적으로 MICE 산업에 관련된 문헌연구와 이 분야 중소기업의 베트남 수출사례를 분석하는 방법론으로 설계하였다. 연구의 결과 MICE 산업 분야를 포함한 서비스수출 중소기업은 해외시장 진출경험과 정보의 취약점으로 말미암아 수출시도를 망설이거나 불안해하고 있는 실정임을 알 수 있었다. 또한 서비스수출로 인한 사업의 타당성 여부를 판단하기 곤란한 접도 중소기업 서비스수출 활성화를 저해하는 요인으로 나타났다. 따라서 MICE 관련 산업을 포함한 중소기업의 서비스수출을 돕기 위해서는 글로별 시장에 대한 마케팅, 법률정보, 세제 및 금융 부문 등을 망라하는 one-stop 형식의 중소기업 서비스수출 지원정책을 체계적으로 준비해야 할 것이다.

• 한국전통조경학회지
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• 제36권4호
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• pp.113-123
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• 2018

본 연구는 치료적 목적의 달성을 위해 훈련받은 치료사(Horticultural Therapist)가 실시하는 원예활동에 대상자가 참여하는 치료(Therapy)의 공간으로서 '원예치료정원의 성능개선을 위한 평가지표 개발'에 관한 연구로서 원예치료는 대상자의 치료를 위한 '의학모형'이며 원예치료정원은 대상자와 원예치료사의 활동을 기능적이고 효율적으로 지원하는 특성화된 공간임을 기본 전제로 설정하였다. 연구의 수행을 위해 의도적 표집에 의해 모집된 전문가 패널을 대상으로 3차례의 델파이(Delphi)기법과 AHP기법을 수행하였으며, 이를 통해 원예치료정원의 성능개선을 위한 평가지표를 도출하였고, 각 평가지표들을 유형화, 계층화하여 평가항목의 우선순위를 파악하였다. 본 연구를 통한 결과는 다음과 같다. 첫째, 원예치료 관련 업무를 수행하는 공무원과 원예치료사를 대상으로 본 연구의 타당성을 확보하기 위한 전문가 설문을 실시하였으며, 분석결과 관련 공무원 75.2%, 원예치료사 87.8%로 두 직군 모두 원예치료정원에 대한 인식이 높았으며 원예치료를 실시함에 있어서 치료정원의 활용이 필요하다는 의견에 동의하는 것으로 나타났다. 둘째, 원예치료정원 성능평가를 위한 가중치가 적용된 평가지표 개발을 위해 총 3회에 걸쳐 델파이 조사를 실시하였다. 이후 두차례에 걸친 델파이 조사를 통해 타당도 및 신뢰도 분석 결과, 총 34개의 원예치료정원 성능개선을 위한 평가요소가 도출되었다. 셋째, 가중치가 적용된 원예치료정원의 성능개선을 위한 평가지표 개발을 위해 계층분석기법을 적용, 각 지표별 상대적 중요도 및 가중치를 분석한 결과 상위요인에서는 '자연과 인간의 상호작용'이 가장 중요한 요인으로 나타났으며, 다음으로는 '프로그램의 계획과 활용', '사회적 상호작용', '지속가능한 환경', '보편적 디자인'의 순으로 나타났다. 넷째, 전문가를 대상으로 원예치료정원 성능평가를 위한 가중치가 적용된 평가지표 개발을 위하여 종합가중치를 활용하였다. 평가지표의 가중치 적용은 평가점수에 AHP를 이용한 종합가중치를 곱하여 산출하는 것이 일반적이며 이러한 과정을 통해 평가지표들 간의 상대적인 우선순위를 토대로 가중치와 변환점수를 분석하여, '원예치료정원의 성능개선을 위한 평가지표 및 평가점수표'를 최종 작성하였다. 가중치가 적용된 평가표를 활용하여 기존에 조성된 원예치료정원의 효율성 증대를 위한 개선점을 도출할 경우, 전문가의 의견에 따른 항목별 중요도가 반영되어 있으므로 사항별 중요도를 판단하여 우선순위를 선정하여 개선할 수 있으며, 원예치료정원의 신규 조성 시에도 계획단계에서 원예치료 활동의 효율성 증대를 위한 방안으로 주요 지표를 미리 파악함으로서 가이드라인이 설정이나 기타 효율성 증대를 위한 방안을 제안하는데 도움이 될 것으로 판단된다.

• 동양고전연구
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• 제34호
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• pp.63-88
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• 2009

본고는 "대학"의 재해석이자 학문적 심화인 율곡 이이의 "성학집요"의 특성을 고찰하여 조선시대 "대학"의 수용 양상을 탐구한 것이다. 조선의 경우, "대학"은 성학(聖學)을 지향하는 지성 사회에서 핵심 경전의 위상을 점하고 있었다. "대학"은 조선 시대 전반에 걸쳐 제왕학(帝王學)이자 성학의 기본 교재로 탐구의 대상이 되었고, 율곡의 "성학집요"는 그것의 총집결체라고 볼 수 있다. 율곡은 "성학집요"를 편찬하면서 "대학"을 기본으로 조선 성학의 모델을 제시했다. 율곡은 "성학집요"의 체제를 크게 다섯 편으로 구성하고, "대학"의 삼강령팔조목을 적절하게 배치한다. 특히 2편의 "수기"는 삼강령 중 명명덕(明明德)을 핵심으로 하되, 팔조목 가운데 격물-치지-성의-정심-수신의 지어지선(止於至善)을 다루었다. 수기의 이치는 명명덕, 격물-치지-성의-정심의 수신의 총론을 다룬 부분과 이를 입지, 수렴, 궁리 등 열두 가지의 구체적인 학문 양식으로 확장한다. 이는 수기치인(修己治人)을 핵심으로 하는 유교의 기본 체제를 잘 보존하면서도 각 영역별로 구체적 실천 지침을 제시하여 학문의 타당성을 논리적으로 뒷받침 한다. 그것은 중국 유교와 다른 조선 유교의 특징을 검토하는 장이다. 나아가 조선 민족이 지닌 인간과 학문의 특성을 이해하는 하나의 기준으로 작용할 수 있다.

• 벤처창업연구
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• 제18권3호
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• pp.17-32
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• 2023

최근 정부와 공공의 역할만으로 사회문제를 모두 해결하기에는 한계가 있어서, 시장에서 영리 조직의 효율성이나 효과성을 통해 사회문제를 해결하면서 성장하는 것을 목표로 하는 소셜벤처의 필요성이 증대되었다. 이러한 배경하에 국내 스타트업 생태계에서도 소셜벤처 창업이 증가하면서 소셜벤처 투자자인 임팩트 투자자에 대한 관심도 증가하고 있다. 따라서, 본 연구는 임팩트 투자자의 투자 결정에 있어서 인지과정과 의사결정 환경에 따른 판단 정보의 타당도와 가중치를 객관적으로 분석하고자 판단분석기법을 활용하였다. 연구 진행을 위한 세 가지 분류로 첫째, 투자자로서 재무적 이익과 회수 가능성 판단을 위한 초기투자단계에서의 투자 우선 순위, 둘째, 사회에 미치는 영향과 파급력, 그리고 소셜벤처의 상생과 연대를 위한 창업가(팀)의 정치적 기술, 셋째, 임팩트투자펀드 조성 목적에 부합하는 소셜벤처기업의 소셜미션으로 구성하였다. 연구 결과 첫째, 임팩트투자자의 투자결정의 우선 순위는 창업가(팀)의 전문성, 창업가(팀)의 성공시의 잠재적 수익률, 창업가(팀)의 소셜미션인 것으로 나타났다. 둘째, 임팩트투자자가 투자결정요인에 대하여 판단하는 인식이 획일적이기보다는 투자 결정 요소가 제각각 다르며, 비중을 두는 정도에 있어서도 생각의 차이가 있다는 것이다. 셋째, 임팩트투자의 다양한 투자결정 요인에서 '창업자(팀)의 네트워킹 능력', '창업자(팀)의 사회적 통찰력', '창업자(팀)의 대인관계 영향력은 다른 4개의 요인보다 상대적으로 낮게 나타났다. 본 연구를 통해 실무적 기여점은 소셜벤처기업들이 투자 유치과정에서 임팩트투자자의 투자결정요인이 무엇인지 이해를 돕고, 소셜벤처 투자자에게는 임팩트투자자의 판단사례와 분석을 참고하여 투자결정의 질적 제고를 기대할 수 있다. 학술적 기여점은 임팩트 투자자의 투자 우선 순위와 비중 차이를 실증적으로 규명하였다는 것이다.

• 벤처창업연구
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• 제10권2호
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• pp.17-25
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• 2015

본 연구는 벤처중소기업의 조직여유와 기업성과간의 관계에서 기업명성의 매개효과를 분석하기 위한 실증분석 연구이다. 즉 기업규모, 기업연령, 사회적 자본, 환경불확실성을 통제한 뒤, 다음의 세 가지 가설을 검증하였다. 첫 번째 가설은 벤처중소기업의 조직여유(흡수된 여유, 흡수되지 않은 여유)가 기업명성에 유의한 긍정적인 영향을 미치는 지 여부이다. 두 번째 가설은 벤처중소기업의 기업명성이 기업성과에 유의한 긍정적인 영향을 미치는 지 여부이다. 세 번째 가설은 앞에서 분석한 두 가설을 바탕으로 벤처중소기업의 조직여유(흡수된 여유, 흡수되지 않은 여유)와 기업성과간의 관계에서 기업명성이 유의한 긍정적인 매개역할을 수행하는 지 여부이다. 이와 같은 가설을 검증하기 위해 설문지 조사법을 사용하여 유효한 250개의 기업수준 데이터를 확보하여 실증분석에 활용하였다. 실증분석은 SPSS 18.0을 통해 빈도분석, 타당도분석, 신뢰도분석, 상관관계분석, 다중회귀분석을 사용하였다. 이러한 실증분석 결과, 세 가지 의미 있는 결과를 도출하였다. 첫째, 벤처중소기업의 조직여유 유형 중 현금, 유가증권 등과 같은 흡수되지 않은 여유는 기업명성에 유의한 영향을 미쳤으나, 초과인력, 초과설비 등과 같은 흡수된 여유는 기업명성에 유의한 영향을 미치지 않았다. 이는 벤처기업의 특성상 급변하는 환경변화에 유연하게 대응하는 것이 매우 중요하므로, 현금, 유가증권과 같은 흡수되지 않은 여유가 유연하게 전략적으로 활용될 수 있음을 의미한다. 둘째, 벤처중소기업에서의 기업명성은 기업성과에 유의한 영향을 미친다, 이는 벤처중소기업에서도 제품품질, 윤리경영, 사회적 책임(CSR) 등과 같은 기업명성 관리가 기업성과와 기업생존에 영향을 미칠 수 있음을 시사한다. 셋째, 벤처중소기업에서의 기업명성은 조직여유의 유형 중 유연하게 활용가능한 흡수되지 않은 여유와 기업성과간의 관계를 긍정적으로 매개하는 반면, 이미 조직에 흡수되어 버린 흡수된 여유와 기업성과간의 관계는 매개하지 못함이 나타났다. 이는 벤처중소기업에서 흡수되지 않은 여유가 기업명성 관리를 통해 기업의 성과에 영향을 미칠 수 있는 선순환 비즈니스 모델을 제시하고 있다. 마지막으로 본 연구는 제한된 표본의 통계량 분석을 통한 실증분석 연구인만큼 일반화의 한계를 가지고 있지만, 벤처중소기업의 조직여유, 기업명성, 기업성과와 관련된 학문적이며 실무적인 본 연구결과는 후속 연구의 토대를 제공해 줄 수 있기를 기대한다.

• 보건행정학회지
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• 제14권1호
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• pp.65-88
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• 2004

In general, empowerment is defined as the motivational concept of autonomy and self-efficacy. Recently, the concept of empowerment is applied to improve organizational staff's job satisfaction and organizational commitment in many organizations. Empower-ment in service organizations, i.e., hospitals, has certainly generated more publicity than any other organizations. The objectives of this study are, first, to measure the degree of hospital employees' empowerment using Spreitzer(1995)'s empowerment theory, second, to analyze the causal relationship of organizational and job characteristics, a degree of empowerment, and organizational performance(job satisfaction and organizational commitment), and third, to offer the strategy for the improvement of job satisfaction and organizational commitment. Spreitzer insists that the empowerment is composed of 4 dimensions(meaning, competence, self-determination, and impact). And he argues that various work-related characteristics is a direct cause of empowerment and the indirect cause of job satisfaction and organizational commitment, mediated by the empowerment latent variable. In order to perform this study, data were collected by self-administered questionnaires from hospital employees working in administrative department of 3 university hospitals in Inchon and Kyunggi-Do region. The number of cases is 181(response rate; 86%). The Collected data were analyzed with SPSS Ver. 10.0 and AMOSV Ver. 4.0. First, to test validity of variables, the factor analysis was used. Second, to test reliability, Cronbach's alpha coefficients was calculated. Cronbach's alpha of empowerment variable is 0.8323 showing that there's no problem in regard to the internal consistency. Also the Cronbach's alpha of other variables are 0.8301 of the degree of perceived control, 0.6705 of job characteristics, O.8787 of compensation, 0.9254 of job satisfaction, and 0.8389 of organizational commitment, respectively. Among the questions of job characteristics, two survey questions are deleted due to lowering the reliability. Third, to test multicollinearity and correlation of variables, the correlation analysis was performed. There was no problem of multicollinearity. Finally structural equation modelling (SEM) analysis was conducted to find the causal relationship of organizational and job Characteristics, empowerment, job satisfaction and organizational commitment. The 16 variables are included for the SEM analysis. The major results of this study are as follows: First, in the case of model fitness, the condition of x$^2$ statistic(92.187) is not fully satisfied, but the indices of GFI(0.912), AGFI(0.863), NFI(0.917) and CFI(0.928) are partially satisfied, which needs to upper 0.90. Second, in the result of hypotheses testing, all hypotheses are accepted and have a positive effect in 95% or 99% confidence interval(P<0.05 or P<0.001) except the effect of compensation variable on empowerment(P=0.082). Third, in regard to the direct, indirect, and total effect of variables, the direct effect of perceived control, task characteristics, and compensation on job satisfaction are 0.728, 2.264, 0.328 and on organizational commitment are 0.094, 1.411, 0.418, respectively. Also the indirect effect of perceived control, task characteristics, and compensation on job satisfaction are 0.311, 0.196, 0.028 and on organizational commitment are 0.210, 0.132, 0.019, respectively. Thus, these findings imply that various work-related factors are direct effect of empowerment and indirect effect of result variables, job satisfaction and organizational commitment. Also These results showed that the workplace empowerment is significant mediating factor of employee's job satisfaction and organizational commitment.

• Toxicological Research
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• 제33권2호
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• pp.107-118
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• 2017

Although alternative test methods based on the 3Rs (Replacement, Reduction, Refinement) are being developed to replace animal testing in reproductive and developmental toxicology, they are still in an early stage. Consequently, we aimed to develop alternative test methods in male animals using mouse spermatogonial stem cells (mSSCs). Here, we modified the OECD TG 489 and optimized the in vitro comet assay in our previous study. This study aimed to verify the validity of in vitro tests involving mSSCs by comparing their results with those of in vivo tests using C57BL/6 mice by gavage. We selected hydroxyurea (HU), which is known to chemically induce male reproductive toxicity. The 50% inhibitory concentration ($IC_{50}$) value of HU was 0.9 mM, as determined by the MTT assay. In the in vitro comet assay, % tail DNA and Olive tail moment (OTM) after HU administration increased significantly, compared to the control. Annexin V, PI staining and TUNEL assays showed that HU caused apoptosis in mSSCs. In order to compare in vitro tests with in vivo tests, the same substances were administered to male C57BL/6 mice. Reproductive toxicity was observed at 25, 50, 100, and 200 mg/kg/day as measured by clinical measures of reduction in sperm motility and testicular weight. The comet assay, DCFH-DA assay, H&E staining, and TUNEL assay were also performed. The results of the test with C57BL/6 mice were similar to those with mSSCs for HU treatment. Finally, linear regression analysis showed a strong positive correlation between results of in vitro tests and those of in vivo. In conclusion, the present study is the first to demonstrate the effect of HU-induced DNA damage, ROS formation, and apoptosis in mSSCs. Further, the results of the current study suggest that mSSCs could be a useful model to predict male reproductive toxicity.

• Asia pacific journal of information systems
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• 제17권4호
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• pp.31-59
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• 2007

We frequently use search engines to find relevant information in the Web but still end up with too much information. In order to solve this problem of information overload, ranking algorithms have been applied to various domains. As more information will be available in the future, effectively and efficiently ranking search results will become more critical. In this paper, we propose a ranking algorithm for the Semantic Web resources, specifically RDF resources. Traditionally, the importance of a particular Web page is estimated based on the number of key words found in the page, which is subject to manipulation. In contrast, link analysis methods such as Google's PageRank capitalize on the information which is inherent in the link structure of the Web graph. PageRank considers a certain page highly important if it is referred to by many other pages. The degree of the importance also increases if the importance of the referring pages is high. Kleinberg's algorithm is another link-structure based ranking algorithm for Web pages. Unlike PageRank, Kleinberg's algorithm utilizes two kinds of scores: the authority score and the hub score. If a page has a high authority score, it is an authority on a given topic and many pages refer to it. A page with a high hub score links to many authoritative pages. As mentioned above, the link-structure based ranking method has been playing an essential role in World Wide Web(WWW), and nowadays, many people recognize the effectiveness and efficiency of it. On the other hand, as Resource Description Framework(RDF) data model forms the foundation of the Semantic Web, any information in the Semantic Web can be expressed with RDF graph, making the ranking algorithm for RDF knowledge bases greatly important. The RDF graph consists of nodes and directional links similar to the Web graph. As a result, the link-structure based ranking method seems to be highly applicable to ranking the Semantic Web resources. However, the information space of the Semantic Web is more complex than that of WWW. For instance, WWW can be considered as one huge class, i.e., a collection of Web pages, which has only a recursive property, i.e., a 'refers to' property corresponding to the hyperlinks. However, the Semantic Web encompasses various kinds of classes and properties, and consequently, ranking methods used in WWW should be modified to reflect the complexity of the information space in the Semantic Web. Previous research addressed the ranking problem of query results retrieved from RDF knowledge bases. Mukherjea and Bamba modified Kleinberg's algorithm in order to apply their algorithm to rank the Semantic Web resources. They defined the objectivity score and the subjectivity score of a resource, which correspond to the authority score and the hub score of Kleinberg's, respectively. They concentrated on the diversity of properties and introduced property weights to control the influence of a resource on another resource depending on the characteristic of the property linking the two resources. A node with a high objectivity score becomes the object of many RDF triples, and a node with a high subjectivity score becomes the subject of many RDF triples. They developed several kinds of Semantic Web systems in order to validate their technique and showed some experimental results verifying the applicability of their method to the Semantic Web. Despite their efforts, however, there remained some limitations which they reported in their paper. First, their algorithm is useful only when a Semantic Web system represents most of the knowledge pertaining to a certain domain. In other words, the ratio of links to nodes should be high, or overall resources should be described in detail, to a certain degree for their algorithm to properly work. Second, a Tightly-Knit Community(TKC) effect, the phenomenon that pages which are less important but yet densely connected have higher scores than the ones that are more important but sparsely connected, remains as problematic. Third, a resource may have a high score, not because it is actually important, but simply because it is very common and as a consequence it has many links pointing to it. In this paper, we examine such ranking problems from a novel perspective and propose a new algorithm which can solve the problems under the previous studies. Our proposed method is based on a class-oriented approach. In contrast to the predicate-oriented approach entertained by the previous research, a user, under our approach, determines the weights of a property by comparing its relative significance to the other properties when evaluating the importance of resources in a specific class. This approach stems from the idea that most queries are supposed to find resources belonging to the same class in the Semantic Web, which consists of many heterogeneous classes in RDF Schema. This approach closely reflects the way that people, in the real world, evaluate something, and will turn out to be superior to the predicate-oriented approach for the Semantic Web. Our proposed algorithm can resolve the TKC(Tightly Knit Community) effect, and further can shed lights on other limitations posed by the previous research. In addition, we propose two ways to incorporate data-type properties which have not been employed even in the case when they have some significance on the resource importance. We designed an experiment to show the effectiveness of our proposed algorithm and the validity of ranking results, which was not tried ever in previous research. We also conducted a comprehensive mathematical analysis, which was overlooked in previous research. The mathematical analysis enabled us to simplify the calculation procedure. Finally, we summarize our experimental results and discuss further research issues.

• 보건의료산업학회지
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• 제2권1호
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• pp.137-154
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• 2008

The increase of the supply of medical service and the increase of hospitals have intensified the competition of hospitals, and the advancement towards internationalization in the opening of medical industry has triggered the infinite competition of medical profession. In addition, the high expectation of customers and quality improvement in the medical care in accordance with the improvement of overall income, and the change of active role of medical consumers according to the popularization and the improvement of rights awareness reflect the customer needs and choice in the medical service. Customers wanted to receive the kind and pleasant service under the up-to-date medical service. Therefore, as a solution, hospital coordinators were emerged for the purpose of smooth treatment and customer satisfaction by generalizing all service of hospital. Accordingly, this thesis attempted to investigate the effect of hospital coordinator education curriculum on the education satisfaction and the quality of medical service. In order to solve the purpose of this study, I, author reviewed the existing literatures, established hypothesis, and verified hypothesis by using the variety of statistics techniques such as reliability, validity, frequency analysis, and regression analysis. The verification of hypothesis is as followings: First, among education training factors of hospital coordinators, the quality of instructor significantly affects the satisfaction of hospital coordinator education training. Second, among training factors of hospital coordinator, the attitude of trainee significantly affects the training satisfaction of hospital coordinator. Third, among education training factors of hospital coordinator, education course significantly affects the training satisfaction of hospital coordinator education. As the qualities of instructor are better equipped, the satisfaction of education becomes higher. It indicates that the education method of instructors is important as an index to represent the qualities of instructor such as the appropriateness of education method, preparation, passion, visual materials, the adequacy of education procession, and specialized knowledge, and it has important effect on the satisfaction of education. In order to enhance the satisfaction of hospital coordinator education, the creation of education environment, making trainee concentrate on the education, is required by appropriately allocating programs, arousing interest in education, based on the attitude of trainee, discussion, and preliminary programs, preparation, ahead of enforcement of education. Fourth, the satisfaction of hospital coordinator education training significantly affects the reliability among the qualities of medical service. Fifth, satisfaction of hospital coordinator education training significantly affects hospitality I kindness among the qualities of medical service. If the education satisfaction of trainee is high, it is effective in the practical application such as dealing with complaints, the duty performance for the patients, and so on in offering the medical service, related to reliability and furthermore, we can find the positive change in the attitude change of medical professions related to the reliability of hospital coordinator. In addition, in the process of offering medical services such as the kind explanation on the duty, rapid response to the customers inquiry, and tidy uniform, practical effect was verified. Sixth, the education training factor of hospital coordinator significantly affects the reliability among the quality of medical service. Seventh, the education training factors of hospital coordinator significantly affect hospitality/kindness. In the education of hospital coordinator, the methods to attract the interest of trainee by emphasizing reliability should be sought and for gaining the practical effect of hospital coordinator education, the sufficient preparation and investigation on the education curriculum should be prerequisite and under this condition, intensified discussion on the instructor and education course is needed. In the design of education course, more education hours and subjects should be allocated in the part of hospitality in order to improve the practical application of hospitality. Therefore, it is meaningful in a sense that this study newly approached the components of hospital coordinator education and the need to modify the quality components of medical service in accordance with the study subjects was raised. This study also finds its meaning in that it provides basic materials for the study of future hospital coordinator education by suggesting the system development model of hospital coordinator education through preliminary study of education training. In addition, this study is meaningful in the aspect that it suggested the direction of education training by showing how the hospital coordinator education training would applied to the hospital coordinator course of the Continuing Education Center at Pusan and Kyungnam National University to some extent. Since all investigation of this study was approached from the side of hospital coordinator, the thoughts of patients who are beneficiaries of medical service, and care givers cannot be identified. Therefore, the satisfaction of patients and care givers through the experience of medical service, which is the essential prerequisite of medical service, should be importantly considered and investigated. Accordingly, The study of comparing and analyzing the views of both patients and care givers should be carried out in the future.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.