• Asia pacific journal of information systems
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• 제19권2호
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• pp.157-178
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• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.

• Asia pacific journal of information systems
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• 제19권2호
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• pp.195-221
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• 2009

According to an industry report, a large number of organizations have invested in Organizational Information System(OIS) in the past few years. Several research results indicate that successful investments in OIS lead to productivity enhancement, while failed ones result in undesirable consequences such as financial losses and dissatisfaction among employees. In spite of huge investments, however, many organizations have failed in achieving the hoped-for returns from OIS. Thus, understanding user acceptance, adoption, and usage of new IS(Information Systems) is an important issue for IS practitioners. Indeed, study of the user acceptance of new information system has been one of the most important research topics in the contemporary IS literature. Several theoretical models are tested to examine 'user acceptance' and 'usage behavior' in IS context. While many research models incorporate 'ease of use' or 'usefulness' as important factors in explaining user acceptance, Technology Acceptance Model(TAM) has been one of the most widely applied models in user acceptance and usage behavior. Even in recent IS studies that employ theories of innovation diffusion in the area of IS implementation, a major focus has been on the user's perception of information technologies. In this research, we study 'voluntariness' as an important factor in IS acceptance by users. Voluntariness is defined as "the degree to which the use of the innovation is perceived as being voluntary, or of free will" When examining the diffusion of accepting OIS, a thoughtful consideration should be given to 'perceived voluntariness.' Current article has following research questions: 1) What models are appropriate to explain the success of OIS? and 2) How does the 'voluntariness' affect the success of OIS? In order to answer these questions, a research model is proposed to describe the detailed nature of association among three independent variables (IT usage level, task interdependency, and organizational support), a mediating variable (IS usage), a dependent variable (perceived performance), and a moderating variable(perceived voluntariness). The central claim of this article is that organizations hardly realize expected returns from OIS investments unless perceived voluntariness is effectively managed after operating OIS. As an example of OIS in this study we have selected the Intranet of Republic of Korea Air Force (ROKAF). ROKAF has implemented the Intranet in an attempt to improve communication and coordination within the organization. To test our research model and hypotheses, survey questionnaires were first sent out to 400 Intranet users. With the assistance of ROKAF, Intranet users were initially identified among its members, and subjects were randomly drawn from the pool. 377 survey responses were finally returned. The unit of measurement and analysis in this research is a personal level. Path analysis based on structural equation modeling was used to test research hypotheses. Construct validity represents accordance between the theoretical base concept of constructs and its measurement items. Tests for the reliability and discriminant validity are accepted, thus verifying our survey instrument. In this research, we have proposed a conceptual framework to highlight the importance of perceived voluntariness after organization deploys OIS. The results of our analysis present several key finding. First, all three independent variables (IT usage level, task interdependency, and organizational support) have significant effects on IS usage, which will eventually improve performance. Thus, IS usage plays a mediating role between antecedent variables (IT usage level. task interdependency, and organizational support) and performance improvement. Second, the effect of the task dependency was the highest for IS usage among the three antecedent variables. This is highly plausible since one of the Intranet's major capabilities is to facilitate communication among members within an organization. Accordingly, we conclude that the higher the task dependency, the higher Intranet usage. The effect of user's IT usage level was the second, while the effect of the organizational support was the third. Finally, the perceived voluntariness plays a pivotal role in enhancing perceived performance in personal level after launching the Intranet. Relationships among investigated variables were significantly different between groups with a high level and a low level of voluntariness. The impact of the Intranet usage on the performance was greater in the higher level voluntariness group than in the lower one. For the lower level voluntariness group, the user's IT usage had the highest effect on the Intranet usage among the three antecedent variables. In short, our study suggests that the higher the perceived voluntariness is the more IS usage will be. Perceived voluntariness was found to have a moderating effect on the relationships among user IT usage level, task interdependency, IS usage, and perceived performance, supporting all the hypotheses on the moderating effect. Most of all, user IT usage level has the strongest influence on IS usage, indicating that users with superior IT usage are more likely to enjoy a high level of perceived performance.

• 마케팅과학연구
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• 제18권4호
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• pp.217-244
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• 2008

전자정보기술의 발달로 인해 도서관 서비스제공은 정보화시스템에 대한 의존 비중이 커져가고 있다. 이러한 상황의 변화에 따라 본 연구는 이용자의 도서관 정보화에 대한 성과지각과 정보화를 통한 이용 만족은 전반적 만족에 중요한 선행요인이 될 것으로 추론하였다. 뿐만 아니라 기존 연구는 대체로 도서관의 서비스제공측면에서 이용자의 인식이나 만족을 조사하였으나 본 연구는 시각을 달리하여 이용자측면에서 단순 열람목적의 일반적 이용과, 전문정보구득 목적의 전문적 이용패턴이 정보화 성과지각에 어떻게 다르게 영향을 미치는지에 대해서 조사하였다. 또한 서비스품질차원이 정보화성과지각과 이용만족에 미치는 영향을 조사하였다. 마지막으로 서비스품질차원이 정보화성과지각과 이용만족에 미치는 영향을 확인하였다. 본 연구의 실증분석 결과는 첫째, 도서관 이용자의 열람 등 일반적 목적 이용이 정보화성과지각에 영향을 미치는지 검증하고자 하였으나 유의한 수준에 미치지 못했다. 둘째, 도서관 이용자의 특정 정보구득 등 전문적 목적의 이용이 정보화성과지각에 유의한 정의 영향을 미쳤다. 셋째, 일반적 서비스품질인 상호작용품질, 결과품질, 물리적환경품질 차원은 정보화성과지각에 유의한 영향을 미쳤으나 정보화이용만족에는 유의하지 않았다. 마지막으로, 도서관 이용자의 정보화성과지각과 정보화이용만족이 전반적인 만족을 선행하고 있음을 밝혔다. 이를 통해 도서관의 정보화시스템을 어떻게 이용자중심으로 체계화하여 발전시킬 것인지에 대해 심층적인 고찰이 필요함을 확인하였다.

• 마케팅과학연구
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• 제18권4호
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• pp.33-59
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• 2008

This paper aims to analyse the preference for German farm tourism among the German population. For this reason, we conducted an empirical study in Germany during summer 2007 and we applieda structural equation model based on partial leasts quares(PLS) to analyse the data. In the following chapters we will introduce the literature review and our conceptual frame work. We will then outline the procedures we adopted and the results of the empirical analysis. In the final part so me conclusions will be presented and a discussion will follow in order to draw the future directions of our research. According to our hypotheses, the possibility that agri-tourism enters in the evoked set of an individual is higher: H1: The higher the information degree about it. H2: The lower the influence of the social stimuli. H3: The higher the physical exposure to it (experience). H4: The higher the wellness image of agri-tourism. H5: The higher the traditional image of agri-tourism. H6: The higher the exciting image of agri-tourism. H7: The higher the perceived value for money. Our further hypotheses affirm that the possibility that agri-tourism enters in the evoked set of an individual is higher: H8: The lower the perceived risk. H9: The higher the motive to enjoy a holiday in the nature. H10: The higher the motive to enjoy a sport holiday. H11: The lower the motive to have an organized holiday. H12: The lower the motive to have a holiday abroad. H13: The lower the motive of action and night life. H14: The higher the motive to spend a holiday with the family. H15: The lower the motive to spend a city holiday. Finally, our model has some socio-demographics data. As we mentioned before, German agri-tourism has traditionally been the travel destination of large-size families, with low-to-middle income. For that reason, our final hypothesises are the following: the possibility that agri-tourism enters in the evoked-set of an individual is higher: H16: The higher the number of family members. H17: The lower the family income. Since in this study we use a path model with a PLS approach, we are able to state some interrelations among the exogenous latent variables: H18: The motive of sport holiday has a positive influence towards nature motives. H19: The physical exposition to agri-tourism has a positive influence toward information. H20: The motive of family holiday has a negative influence toward the motive of action and night life. H21: Social stimuli have a positive influence towards individuals risk perceptions. H22: Social stimuli have negative influence towards experience. Data for this study were gathered via administrated questionnaires during the summer 2007 within the frame of an academic "marketing research" course. The corresponding t-values are assessed using the bootstrapping method with 500 re-samples. In our model 61% of the degree of appreciation of German agri-tourism (evoked set) is explained by five independent variables: value for money ($0.335^{{\ast}{\ast}{\ast}}$) (H7) experience ($0.267^{{\ast}{\ast}}$) (H3), exciting image ($0.204^{\ast}$) (H6) organisation ($-0.162^{\ast}$) (H11) and holiday abroad ($-0.156^{\ast}$) (H12). The variance explained ($R^2$) for the other endogenous variables are the following: nature 24.3%, information 14.1%, action holiday 13.8%, risk perception 5.8% and experience 2.4%. An overview can be inferred from table 5. The results also allow us to test each of the proposed hypotheses. With exception of organization and abroad, none of the others travel style factors (H9 to H15) seem to have any significant impact towards evoked set which leads to the rejection of the respective hypotheses. As expected, social stimuli have a significant influence on individuals' risk perception (H21 accepted), however neither the former nor the latter have a valuable impact on evoked set (rejection of H2 and H8). Besides, since the influence of social stimuli towards experience is not significant, also H22 has to be rejected. Experience influences information (H19 accepted) but the latter does not affect significantly the evoked set (H1 rejected). Both H4 as well as H5, referring respectively to the perceived images of German agri-tourism as a wellness destination and the traditional image of the German farm tourism have to be rejected. Finally, none of the demographic data included in the model explains significantly the variance of the factor evoked set. Therefore neither H16 nor H17 has been accepted. As far as the interrelation between sport and nature (H18) and family and action (H20) are concerned, the stated relationship among these variables has been statistically confirmed. Our path model based on partial least squares shows the factors influencing the preference for farm tourism in Germany. Among others value for money and experience are the most significant ones. Practical implications are discussed.

• 한국산학기술학회논문지
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• 제17권8호
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• pp.273-279
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• 2016

본 연구는 대학생의 성역할 고정관념 및 성폭력 피해경험과의 관계에서 성폭력 허용도의 매개효과를 검증하고자 하였다. 연구대상은 제주에 위치한 대학교에 재학중인 남녀 대학생 600명 중 408명((남, 127명, 여, 281명)이었으며, 성역할 고정관념, 성폭력 허용도, 성폭력 피해경험 척도를 사용하여 설문을 실시하였다. 본 연구의 결과를 요약하면 다음과 같다. 첫째 상관분석 결과 성역할 고정관념과 성폭력 피해경험은 성폭력 허용도와 유의한 정적 상관을 보였다. 둘째 성역할 고정관념과 성폭력 피해경험의 관계에서 성폭력 허용도의 매개효과가 어떠한지 알아본 결과, 성폭력 허용도가 성역할 고정관념과 성폭력 피해경험의 관계를 완전 매개하는 것으로 나타났다. 데이트 성폭력 피해경험에 가장 큰 영향을 준 요인은 성폭력 허용도였다. 구조방정식 경로계수와 매개효과를 살펴보면, 본연구의 표준화 경로계수는 성역할 고정관념에서 성폭력 허용도(29, p=.000)로, 성폭력 허용도에서 성폭력 피해경험(42, p=.000)으로 가는 영향력을 보여줬다. 매개의 효과성에서 간접효과는 성역할 고정관념과 성폭력 피해경험(11, p=.01)에서 나타났고, 직접효과는 성역할 고정관념에서 성폭력 허용도(28, p=.000)로, 성폭력 허용도에서 성폭력 피해경험(40, p=.000)으로 나타났다. 결과적으로 성역할 고정관념이 성폭력 피해경험에 직접적으로 영향을 미치기보다는 성폭력 허용도를 통해 간접적으로 영향을 미친다는 것을 의미한다. 따라서 본 연구의 시사점은 성역할 고정관념과 성폭력 허용도를 낮추어 성폭력 피해를 감소하게 해야 된다는 것이다. 따라서 양성평등적 인식이 높을수록 성폭력 허용도가 낮아져 성폭력 피해가 예방될 것이다.

• 한국유통학회지:유통연구
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• 제17권3호
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• pp.59-92
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• 2012

본 연구는 최근 인사조직 분야에서 집중적인 조명을 받고 있는 윤리적 리더십을 유통경로 연구에 적용함으로써, 그 동안 그 중요성에 비해 덜 조명되었던 유통경로 내 조직 간 리더십에 대한 이해를 증진시키고자 한다. 특히, 본 연구는 비교적 최근 밝혀지기 시작한 윤리적 리더십의 선행변수에 초점을 맞춤으로 유통경로의 구성원 간 관계에서 윤리적 리더십이 형성되기 위해서는 어떻게 해야 하는 지를 규명하고자 한다. 이를 위해 본 연구는 조직의 성격특성과 관계유지전략이라는 두 가지 이론적 차원의 변수들과 실무자들과의 심층면접을 통해 중요하게 언급된 공급업체 관리활동 변수들을 실증하였다. 국내 6대 할인점에 상품을 공급하는 공급업체 295개 사의 납품 담당자를 대상으로 설문조사를 실시하였고, PLS(Partial Least Square) 구조모형 분석을 통해 분석한 결과, 대형 할인점의 조직특성 중 양심이, 관계유지 전략 중 개방전략, 갈등관리전략, 사회망전략이, 공급업체 관리활동 중 교육훈련과 공정한 보상이 대형 할인점의 윤리적 리더십을 강화하는 것으로 나타났다. 반면, 대형 할인점의 정서적 불안정은 윤리적 리더십을 약화시켰고, 친절성과 보장전략, 조직간 커뮤니케이션은 윤리적 리더십에 유의적인 영향을 미치지 않았다.

• Asia pacific journal of information systems
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• 제21권4호
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• pp.1-25
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• 2011

Internet-based commerce has undergone an explosive growth over the past decade as consumers today find it more economical as well as more convenient to shop online. Nevertheless, the shift in the common mode of shopping from offline to online commerce has caused consumers to have worries over such issues as private information leakage, online fraud, discrepancy in product quality and grade, unsuccessful delivery, and so forth, Numerous studies have been undertaken to examine the role of perceived risk as a chief barrier to online purchases and to understand the theoretical relationships among perceived risk, trust and purchase intentions, However, most studies focus on empirically investigating the effects of trust on perceived risk, with little attention devoted to the effects of perceived risk on trust, While the influence trust has on perceived risk is worth studying, the influence in the opposite direction is equally important, enabling insights into the potential of perceived risk as a prohibitor of trust, According to Pavlou (2003), the primary source of the perceived risk is either the technological uncertainty of the Internet environment or the behavioral uncertainty of the transaction partner. Due to such types of uncertainty, an increase in the worries over the perceived risk may negatively affect trust, For example, if a consumer who sends sensitive transaction data over Internet is concerned that his or her private information may leak out because of the lack of security, trust may decrease (Olivero and Lunt, 2004), By the same token, if the consumer feels that the online merchant has the potential to profit by behaving in an opportunistic manner taking advantage of the remote, impersonal nature of online commerce, then it is unlikely that the merchant will be trusted, That is, the more the probable danger is likely to occur, the less trust and the greater need to control the transaction (Olivero and Lunt, 2004), In summary, a review of the related studies indicates that while some researchers looked at the influence of overall perceived risk on trust level, not much attention has been given to the effects of different types of perceived risk, In this context the present research aims at addressing the need to study how trust is affected by different types of perceived risk, We classified perceived risk into six different types based on the literature, and empirically analyzed the impact of each type of perceived risk upon consumer trust in an online merchant and further its impact upon purchase intentions. To meet our research objectives, we developed a conceptual model depicting the nomological structure of the relationships among our research variables, and also formulated a total of seven hypotheses. The model and hypotheses were tested using an empirical analysis based on a questionnaire survey of 206 college students. The reliability was evaluated via Cronbach's alphas, the minimum of which was found to be 0.73, and therefore the questionnaire items are all deemed reliable. In addition, the results of confirmatory factor analysis (CFA) designed to check the validity of the measurement model indicate that the convergent, discriminate, and nomological validities of the model are all acceptable. The structural equation modeling analysis to test the hypotheses yielded the following results. Of the first six hypotheses (H1-1 through H1-6) designed to examine the relationships between each risk type and trust, three hypotheses including H1-1 (performance risk ${\rightarrow}$ trust), H1-2 (psychological risk ${\rightarrow}$ trust) and H1-5 (online payment risk ${\rightarrow}$ trust) were supported with path coefficients of -0.30, -0.27 and -0.16 respectively. Finally, H2 (trust ${\rightarrow}$ purchase intentions) was supported with relatively high path coefficients of 0.73. Results of the empirical study offer the following findings and implications. First. it was found that it was performance risk, psychological risk and online payment risk that have a statistically significant influence upon consumer trust in an online merchant. It implies that a consumer may find an online merchant untrustworthy if either the product quality or the product grade does not match his or her expectations. For that reason, online merchants including digital storefronts and e-marketplaces are suggested to pursue a strategy focusing on identifying the target customers and offering products that they feel best meet performance and psychological needs of those customers. Thus, they should do their best to make it widely known that their products are of as good quality and grade as those purchased from offline department stores. In addition, it may be inferred that today's online consumers remain concerned about the security of the online commerce environment due to the repeated occurrences of hacking or private information leakage. Online merchants should take steps to remove potential vulnerabilities and provide online notices to emphasize that their website is secure. Second, consumer's overall trust was found to have a statistically significant influence on purchase intentions. This finding, which is consistent with the results of numerous prior studies, suggests that increased sales will become a reality only with enhanced consumer trust.

• 한국도로학회논문집
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• 제8권4호
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• pp.49-62
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• 2006

우리나라는 그동안 사회기반시설로서 도로역할을 중시하여 도로부문에 매년 대규모 예산을 투입했다. 그 결과 개발이 용이한 평탄지를 중심으로 한 국가 기간 도로망 체계 확보에 결실이 있었다. 그러나 앞으로 지속적인 도로망 체계를 건설하기 위해서는 산악지형과 같은 고비용이 들어가는 지형에 대해서 효율적으로 개발해야 하는 과제를 안고 있다. 이러한 지형은 도로 설계속도 결정단계에서 고려되어야 할 중요한 입력변수이다. 그럼에도 불구하고 현재 도로설계기준상에는 지형구분을 위한 명확하고 객관적인 판단기준이 제시되어 있지 않기 때문에 설계속도가 부정확하게 결정될 수도 있다. 본 연구는 지형구분의 필요성에 대해 인지하고 고도 및 경사 그리고 주행속도 자료를 바탕으로 합리적으로 지형구분을 하였으며, 연구결과는 다음과 같다. 첫째, 본 연구에서는 GIS data를 이용하여 고도와 경사도에 따라 지형을 9가지 AREA로 분류하였으며, 지형분류 data(AREA)와 주행속도 자료를 matching하여 분석한 결과, AREA의 분류에 따른 특성이 주행속도에 영향을 미치는 것으로 나타났다. 둘째, 본 연구에서는 고도와 경사도에 따른 지형분류와 지형분류에 따른 그룹 간 주행속도의 유의성 분석 결과를 근거로 해서 평지, 구릉지, 산지로 우리나라 지형을 구분하였다. 본 연구는 일반국도를 대상으로 한 주행 속도자료를 이용하였기 때문에 지방도나 군도등 기능이 다른 도로에 대해서는 적용상의 한계가 있으나, 향후 도로건설시 도로가 통과하는 지역의 지형적 특성을 반영 할 수 있는 하나의 기준이 될 것으로 기대된다.트 탄성계수나 슬래브 두께가 증가하던지 또는 지반 탄성계수가 감소하면 최대 응력이 생기는 종방향 상 위치가 양쪽 바깥축에서 중간축의 위치로 바뀌게 된다. 문합군(52%)에 비해 통계적으로 유의한 차이를 보였다(p<0.01). 결론: 식도-위 문합 시 경부 문합은 흉부 문합에 비해 문합부 협착의 빈도는 차이가 없고, 역류성 식도염의 빈도는 현저히 적으며, 식도암의 경우 더 여유 있는 절제면을 제공할 수 있는 장점이 있으리라 판단된다. 따라서 식도절제술 및 위-식도 문합 시 특별한 금기증에 해당하지 않는다면 경부 문합을 선호할 수 있을 것으로 생각된다. 문합 방법에 따른 역류성 식도염과 협착의 빈도에서는 유의한 차이를 발견할 수 없었으나, 수술 시간의 단축 등의 몇몇 장점으로 인해 기계 문합을 선호할 수 있을 것으로 생각된다. 향후 식도암의 수술 기법과 술 후 관리의 향상으로 인하여 문합 부위의 역류로 인한 증상과 환자의 일상 생활의 질에 대한 중요성이 지속적으로 강조될 것으로 생각되며, 이에 따른 적극적인 anti-reflux 수술에 대한 고려도 필요할 것으로 생각된다.$14.7{\pm}2.7$ mL로 각 군 간에 통계적인 유의성이 있었다(p<0.05). 혈청내 칼륨 농도는 I군에서 II군에 비해 소생술 후 의의 있게 높았으며(p<0.05), 포도당 농도는 II단계의 I군에서 타군과 비교하여 현저히 낮았다(p<0.05). IL-8은 I 군 $1,834{\pm}437$ pg/mL, II 군 $1,006{\pm}532$ pg/mL,

• 기술혁신연구
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• 제20권2호
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• pp.75-107
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• 2012

본 연구에서는 기술혁신의 결정요인 도출 또는 기술혁신의 투입과 산출 간 관계에만 집중한 기존 연구의 한계, 기술혁신의 연결 메커니즘 연구의 필요성 제기 및 관련 연구들이 실태조사 수준에 머물러 있는 현실, 대기업과 중소기업의 기술혁신 추진과정 차이 등에 따라 중소기업의 기술혁신 관리요소에 관한 실증연구를 실시하였다. 이를 위해 자원기반 및 시스템 관점에서 주요 기술혁신 관리요소를 도출 분류하여 연구모형을 제시하였고, 중소기업을 대상으로 실증적으로 규명하였다. 세부적으로 살펴보면, 투입(R&D리더십, 혁신전략, R&D투자, R&D인적자원관리 및 외부네트워크), 과정(포트폴리오관리, 프로젝트관리 및 사업화) 및 산출(기술혁신) 간 관계를 실증 분석하였다. 대구지역 223개의 중소기업을 대상으로 한 구조방정식모형 분석 결과, 투입요소 간 관계, 투입요소와 과정요소 간 관계, 과정요소 간 관계, 그리고 과정요소와 산출요소 간 관계가 전반적으로 긍정적으로 유의하였다. 그러나 투입요소와 과정요소 간 관계에서 R&D투자가 포트폴리오관리와 프로젝트관리에 유의한 영향을 미치지 못하는 것으로 나타났는데, 이는 R&D투자가 독립적으로 과정요소에 영향을 미치기보다 우수한 인적자원, 유용한 정보와 기술이 뒷받침될 때 과정요소에 유의한 영향을 미칠 것으로 예상한다. 본 연구의 결과는 중소기업들이 연구모형을 활용하여 기술경영 상의 제약을 효율적으로 극복하고, 보다 높은 기술혁신 성과를 달성하는데 도움이 될 것이다. 아울러 정책기관들이 중소기업의 기술혁신 관리요소에 관심을 갖고, 애로요인을 보완해 줌으로써 보다 효과적인 정책지원이 가능할 것이다.

• 자원환경지질
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• 제47권1호
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• pp.1-15
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• 2014

보보나로 멜란지는 인도-호주판과 유라시아판의 경계부에 위치한 세계적으로 가장 젊은 충돌 동시성 멜란지 중 하나이다. 이 멜란지는 신제3기에 시작된 호주 대륙의 연변부와 반다 호와의 충돌로 인해 형성되었으며, 티모르섬의 전역에 걸쳐 분포한다. 티모르섬 남부 수아이 지역은 호주 대륙 기원 암체, 반다 호 기원 암체, 충돌 동시성 보보나로 멜란지, 그리고 충돌 동시성 퇴적층까지 다양한 지층들이 분포하고 있어, 멜란지와 다른 지구조 단위의 기원적 상관관계를 파악하는데 적합한 지역이다. 본 연구에서는 수아이 지역에서 수행한 1:25,000 규모의 정밀 지질조사 결과를 토대로 보보나로 멜란지의 내부 구조적 특성 및 공간적 분포 양상을 제시하고 그 기원에 대해 토의한다. 수아이 지역에 분포하는 보보나로 멜란지는 주로 적갈색 및 녹회색을 띠며 변성작용을 받지 않은 비늘모양 점토 기질과 대부분 인접한 지역의 지층들에서 유래한 다양한 종류의 암편들로 구성된다. 주변암과의 관계가 비교적 명확한 멜란지 노두에서 인지되는 내부 구조적 특징은 보보나로 멜란지가 '다이아피릭 멜란지', '지구조 멜란지' 그리고 혼합 과정 없이 지층교란에 의해 형성된 '깨진 지층'으로 구성됨을 지시한다. 또한 공간적 분포 특성은 보보나로 멜란지가 호주 대륙기원 암체 하부의 곤드와나 대지층군과 더불어 이를 충상하는 반다 호 기원 지층들까지 모두 절단하며 관입하고 있음을 나타낸다. 연구지역에서 파악되는 노두 규모의 내부 구조적 특징 및 광역적 분포 특성을 기존에 제시된 멜란지 형성 모델들과 결부하여 고려하였을 때, 보보나로 멜란지는 대부분 곤드와나 대지층군으로부터 점토물질이 유래한 다이아피릭 멜란지로 형성되었으며 멜란지의 형성 및 진화에 단층활동이 지속적으로 영향을 미친 것으로 판단된다. 본 연구 결과는 현생 부가체-충돌대에서 다이아피릭 멜란지가 주요한 구성 요소임을 잘 보여준다. 이는 오래된 부가체-충돌대에 발달하는 멜란지의 기원을 해석함에 있어서도 다이아피릭 프로세스를 주요한 인자로 고려해야함을 지시한다.