• 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.

• 토지주택연구
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• 제6권2호
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• pp.67-77
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• 2015

개성공단 2단계 사업착공 및 안정적 발전을 위해서 원활한 근로자 수급이 필요적인 상황으로, 본 연구에서는 2007년 남북 합의문을 바탕으로 개성공단내 근로자 숙소 건립을 위한 계획기준과 모델을 제안하고자 한다. 계획안은 근로자 복지, 경제적 효율성, 기술적 타당성, 합의가능성, 장기적인 발전성을 고려하여 계획기준 수립과 대안별 검토가 이루어졌다. 1인당 점유면적 산정을 위해 한국 근로기준법과 중국과 북한 접경지역에 공급되고 있는 근로자 숙소 현황 조사를 통해 1인당 전용면적을 산출하였으며, 6인 1실 공동화장실을 기본으로 하는 경제적 대안과 4인1실에 실안에 실내화장실을 설치하는 발전형의 두가지 대안을 비교 검토하였다. 후보지와 관련하여 기 합의되었던 동창리 일원중 경사도, 접근성, 개발용이성을 고려하여 최적입지의 구역을 설정하였으며, 기존 대지형상을 유지하면서 공급할 수 있는 후보지의 우선순위도 제안하였다. 건설공법은 북측 인력 숙련도, 자재 수급 여건을 고려하여 RC라멘조 공법이 최적화된 대안으로 설정하였으며, 15,000명 동시 수용에 따른 부대복리 및 편의시설 공급의 효율성을 고려하여 4~6개 단위를 기준으로 한 클러스터형 단지배치안을 제시하였다. 사업방식은 남북협력기금을 대출받아 개발사업자가 개발하고 수익자부담 원칙에 따라 임대료를 회수하는 유상임대 방식으로 총 사업비는 대안별로 차이가 있지만 약 800억~1,000억원 내외이며, 건설기간은 약 36개월 정도 소요될 것으로 예상된다. 근로자 숙소 입주 이후 운영관리를 위해 건설사업자가 운영관리 총괄, 요금징수, 기반시설 관리를 담당하고, 인적관리는 북측에 위임하는 이원화된 거버넌스인 가칭 개성공단 근로자숙소 운영위원회 설립을 제안하였다.

• 한국엔터테인먼트산업학회논문지
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• 제15권4호
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• pp.55-72
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• 2021

본 연구는 인터넷 미디어 및 1인 미디어 환경, 특히 어디서든 접속, 시청 가능한 모바일 미디어를 선도하는 1인 미디어 크리에이터들의 변별이 사용자 태도와 지속적인 구독의도에 미치는 영향을 연구하는 데 있다. 특히, 유튜브로 대변되는 1인 미디어 시장의 상황을 파악하고 미디어 시장을 구성하는 각 주체들 및 구성요소들 간의 관계성 그리고 생태를 탐색하고자 하였으며, 유튜브 크리에이터의 특성이 콘텐츠관여도와 사용자태도 간의 관계, 사용자태도와 구독의도 간의 관계, 그리고 콘텐츠관여도가 크리에이터특성과 사용자태도 간의 관계에서 매개효과를 갖는지를 파악하고자 연구를 진행하였다. 연구방법은, 먼저 이론적 정립을 위해 기 발표된 국내·외 학위 및 학술지 논문 등을 수집 고찰하여 정리하였고, 수립된 연구모형의 객관적 타당성 및 검증을 위해 현재 유튜브를 시청하는 성인남녀에게 설문을 진행한 후 최종 유효 표본을 통해 실증분석을 실시하였으며, 결과는 다음과 같다. 첫째 크리에이터의 특성과 콘텐츠관여도 간의 관계에서 유희성과 신뢰성은 유의하지 않은 것으로 나타났으나 전문성은 유의하게 나타났다. 둘째, 크리에이터의 특성과 사용자태도 간의 관계는 전문성은 유의하지 않은 것으로 나타났으나 유희성과 신뢰성은 유의한 것으로 나타났다. 셋째, 콘텐츠관여도와 사용자태도 간의 관계는 유의한 영향을, 넷째, 사용자태도와 구독의도 간의 관계도 유의한 것으로 나타났다. 또한 콘텐츠관여도의 매개효과를 검증한 결과, 콘텐츠관여도는 크리에이터의 특성(유희성, 신뢰성, 전문성)과 사용자태도 간의 관계를 완전매개하는 것으로 나타났다. 그리고 결론 부분에 이를 토대로 유추할 수 있는 시사점과 향후 추가 연구를 위한 제언 등을 제시하였다.

• 마케팅과학연구
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• 제18권3호
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• pp.59-88
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• 2008

Digital Convergence means integration between industry, technology, and contents, and in marketing, it usually comes with creation of new types of product and service under the base of digital technology as digitalization progress in electro-communication industries including telecommunication, home appliance, and computer industries. One can see digital convergence not only in instruments such as PC, AV appliances, cellular phone, but also in contents, network, service that are required in production, modification, distribution, re-production of information. Convergence in contents started around 1990. Convergence in network and service begins as broadcasting and telecommunication integrates and DMB(digital multimedia broadcasting), born in May, 2005 is the symbolic icon in this trend. There are some positive and negative expectations about DMB. The reason why two opposite expectations exist is that DMB does not come out from customer's need but from technology development. Therefore, customers might have hard time to interpret the real meaning of DMB. Time is quite critical to a high tech product, like DMB because another product with same function from different technology can replace the existing product within short period of time. If DMB does not positioning well to customer's mind quickly, another products like Wibro, IPTV, or HSPDA could replace it before it even spreads out. Therefore, positioning strategy is critical for success of DMB product. To make correct positioning strategy, one needs to understand how consumer interprets DMB and how consumer's interpretation can be changed via communication strategy. In this study, we try to investigate how consumer perceives a new product, like DMB and how AD strategy change consumer's perception. More specifically, the paper segment consumers into sub-groups based on their DMB perceptions and compare their characteristics in order to understand how they perceive DMB. And, expose them different printed ADs that have messages guiding consumer think DMB in specific ways, either cellular phone or personal TV. Research Question 1: Segment consumers according to perceptions about DMB and compare characteristics of segmentations. Research Question 2: Compare perceptions about DMB after AD that induces categorization of DMB in direction for each segment. If one understand and predict a direction in which consumer perceive a new product, firm can select target customers easily. We segment consumers according to their perception and analyze characteristics in order to find some variables that can influence perceptions, like prior experience, usage, or habit. And then, marketing people can use this variables to identify target customers and predict their perceptions. If one knows how customer's perception is changed via AD message, communication strategy could be constructed properly. Specially, information from segmented customers helps to develop efficient AD strategy for segment who has prior perception. Research framework consists of two measurements and one treatment, O1 X O2. First observation is for collecting information about consumer's perception and their characteristics. Based on first observation, the paper segment consumers into two groups, one group perceives DMB similar to Cellular phone and the other group perceives DMB similar to TV. And compare characteristics of two segments in order to find reason why they perceive DMB differently. Next, we expose two kinds of AD to subjects. One AD describes DMB as Cellular phone and the other Ad describes DMB as personal TV. When two ADs are exposed to subjects, consumers don't know their prior perception of DMB, in other words, which subject belongs 'similar-to-Cellular phone' segment or 'similar-to-TV' segment? However, we analyze the AD's effect differently for each segment. In research design, final observation is for investigating AD effect. Perception before AD is compared with perception after AD. Comparisons are made for each segment and for each AD. For the segment who perceives DMB similar to TV, AD that describes DMB as cellular phone could change the prior perception. And AD that describes DMB as personal TV, could enforce the prior perception. For data collection, subjects are selected from undergraduate students because they have basic knowledge about most digital equipments and have open attitude about a new product and media. Total number of subjects is 240. In order to measure perception about DMB, we use indirect measurement, comparison with other similar digital products. To select similar digital products, we pre-survey students and then finally select PDA, Car-TV, Cellular Phone, MP3 player, TV, and PSP. Quasi experiment is done at several classes under instructor's allowance. After brief introduction, prior knowledge, awareness, and usage about DMB as well as other digital instruments is asked and their similarities and perceived characteristics are measured. And then, two kinds of manipulated color-printed AD are distributed and similarities and perceived characteristics for DMB are re-measured. Finally purchase intension, AD attitude, manipulation check, and demographic variables are asked. Subjects are given small gift for participation. Stimuli are color-printed advertising. Their actual size is A4 and made after several pre-test from AD professionals and students. As results, consumers are segmented into two subgroups based on their perceptions of DMB. Similarity measure between DMB and cellular phone and similarity measure between DMB and TV are used to classify consumers. If subject whose first measure is less than the second measure, she is classified into segment A and segment A is characterized as they perceive DMB like TV. Otherwise, they are classified as segment B, who perceives DMB like cellular phone. Discriminant analysis on these groups with their characteristics of usage and attitude shows that Segment A knows much about DMB and uses a lot of digital instrument. Segment B, who thinks DMB as cellular phone doesn't know well about DMB and not familiar with other digital instruments. So, consumers with higher knowledge perceive DMB similar to TV because launching DMB advertising lead consumer think DMB as TV. Consumers with less interest on digital products don't know well about DMB AD and then think DMB as cellular phone. In order to investigate perceptions of DMB as well as other digital instruments, we apply Proxscal analysis, Multidimensional Scaling technique at SPSS statistical package. At first step, subjects are presented 21 pairs of 7 digital instruments and evaluate similarity judgments on 7 point scale. And for each segment, their similarity judgments are averaged and similarity matrix is made. Secondly, Proxscal analysis of segment A and B are done. At third stage, get similarity judgment between DMB and other digital instruments after AD exposure. Lastly, similarity judgments of group A-1, A-2, B-1, and B-2 are named as 'after DMB' and put them into matrix made at the first stage. Then apply Proxscal analysis on these matrixes and check the positional difference of DMB and after DMB. The results show that map of segment A, who perceives DMB similar as TV, shows that DMB position closer to TV than to Cellular phone as expected. Map of segment B, who perceive DMB similar as cellular phone shows that DMB position closer to Cellular phone than to TV as expected. Stress value and R-square is acceptable. And, change results after stimuli, manipulated Advertising show that AD makes DMB perception bent toward Cellular phone when Cellular phone-like AD is exposed, and that DMB positioning move towards Car-TV which is more personalized one when TV-like AD is exposed. It is true for both segment, A and B, consistently. Furthermore, the paper apply correspondence analysis to the same data and find almost the same results. The paper answers two main research questions. The first one is that perception about a new product is made mainly from prior experience. And the second one is that AD is effective in changing and enforcing perception. In addition to above, we extend perception change to purchase intention. Purchase intention is high when AD enforces original perception. AD that shows DMB like TV makes worst intention. This paper has limitations and issues to be pursed in near future. Methodologically, current methodology can't provide statistical test on the perceptual change, since classical MDS models, like Proxscal and correspondence analysis are not probability models. So, a new probability MDS model for testing hypothesis about configuration needs to be developed. Next, advertising message needs to be developed more rigorously from theoretical and managerial perspective. Also experimental procedure could be improved for more realistic data collection. For example, web-based experiment and real product stimuli and multimedia presentation could be employed. Or, one can display products together in simulated shop. In addition, demand and social desirability threats of internal validity could influence on the results. In order to handle the threats, results of the model-intended advertising and other "pseudo" advertising could be compared. Furthermore, one can try various level of innovativeness in order to check whether it make any different results (cf. Moon 2006). In addition, if one can create hypothetical product that is really innovative and new for research, it helps to make a vacant impression status and then to study how to form impression in more rigorous way.

• Asia Marketing Journal
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• 제14권2호
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• pp.209-237
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• 2012

오늘날의 소비자들은 가격, 제품의 품질 등 실용적 가치 보다 쇼핑의 즐거움, 라이프스타일의 구현, 매력적인 점포쇼핑환경, 브랜드 애착심 등의 정서적 가치를 더 중요하게 생각하고 있다. 이처럼 소비자들은 단순히 상품만을 구매하기보다는 다양한 가치를 얻기 위해 쇼핑을 한다는 사실은 여러 연구에서 제안되었다(안광호와 이하늘 2011; Mathwick 등 2001). 이렇듯 소매점포 선택과 관련한 소비자행동차원의 쇼핑경험가치와 브랜드자산에 대한 중요성과 관심이 높아지고 있지만 관련 연구는 미미한 실정이며 이와 관련한 비교문화적 연구는 매우 미비한 실정이다(황순호 2010). 본 연구는 한국과 중국의 소비자들의 소매점포 선택과 관련한 소비자행동연구의 필요에 의해 시작되었다. 또한 소비자행동분야에서 소비자 경험이 중시되면서 소매점내 쇼핑경험가치에 초점을 맞추었다. 본 연구는 정치, 경제, 사회, 문화적으로 서로 다른 한국과 중국의 소비자들을 대상으로 대형할인점 소매점포에서 고객들이 지각하는 쇼핑 경험가치와 브랜드자산과의 관계를 밝혀내고 이를 통해 점포 충성도와의 관계를 찾아내어 소매점의 쇼핑 경험가치와 관련된 시사점을 찾아내기 위한 국가 간 비교 연구를 시도하였다. 본 연구는 이론적 배경으로 쇼핑가치와 유통브랜드 자산, 그리고 점포 충성도에 대한 이론적 배경을 소개하였으며, 가설 검증을 위한 자료 수집을 위하여 한국과 중국의 대형할인점 고객들을 대상으로 한국과 중국의 대도시 (서울 과 북경) 소비자들을 표본프레임으로 설정하고, 대면 설문조사를 실시하였다. 연구의 결과 한중간 소비성향 차이 비교에 대한 결과를 요약하면 다음과 같다. 첫째, 한국소비자와 중국 소비자 간의 소비성향차이를 검정한 결과 중국 소비자들은 심미적 소비성향과 상징적 소비성향의 평균값이 한국 소비자들에 비해 높게 나타났으며 한국 소비자들은 쾌락적 소비성향이 중국소비자들에 비해 상대적으로 높은 것으로 나타났다. 둘째, 대형할인점에 대한 한국과 중국의 브랜드 자산 지각에 대한 연구결과 중국에 비해 한국 소비자들이 브랜드 인지와 브랜드 이미지를 모두 높게 지각하는 것으로 나타났다. 셋째, 한국과 중국에서 편의점과 할인점 이용 고객들이 지각하는 소매점에서의 쇼핑경험에 대한 탐색적 요인분석결과 각각의 국가에 따라 각기 다른 쇼핑경험가치가 나타났다. 한국의 할인점에서는 소비자이익 가치, 심미성가치, 유희성 가치가 중요한 쇼핑가치로 도출되었다. 또한 중국의 할인점에서는 유희성 가치, 심미성 가치, 소비자이익 가치, 서비스우수 가치가 중요한 쇼핑경험가치로 도출되었다. 이러한 연구의 목적에 대한 실증적 분석을 바탕으로 한국과 중국의 대형할인점 소비자들의 쇼핑경험가치과 브랜드자산을 바탕으로 한국의 대형할인점에 있어서 경험가치의 이론적 중요성에 관한 새로운 통찰력을 제공하여 주며 충성도 제고에 있어서 브랜드관리의 중요성에 대한 이론적 시사점을 제공하여 준다. 이와 더불어 유통의 국제화 시대에 있어서 대형할인점의 국제화에 요구되는 한국과 중국 간의 고객 가치의 차이점에 대한 비교문화적 관점에서 중요한 실무적 시사점을 제시한다. 즉, 해외유통전략을 실행하는데 있어서 쇼핑가치에 기반한 현지화 전략의 중요성에 대한 시사점을 제시하여 주며 국가차원에서의 차별적 유통전략의 개발 필요성을 제안하여 준다.

• 마케팅과학연구
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• 제18권4호
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• pp.119-155
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• 2008

최근 많은 기업들이 치열한 경쟁에서 생존하기 위해 개별 고객들에게 초점을 맞춘 전사적이고 체계적인 고객관계관리에 전력을 기울이고 있다. 수익성 높은 대부분 기업들의 성공비결은 복합적이겠지만, 고객지향적 사고에의 신속한 적응이 중요한 부분을 차지하고 있다. 고객관계관리 기법 및 운용철학은 고객을 올바르게 이해하는데서 그치지 않고 고객행동을 사전적으로 예측하여 고객요구에 부응한 제품과 서비스를 제공하는 것만이 치열한 경쟁환경에서 생존함과 동시에 거듭된 성장을 이루는 유일한 해결책임을 강조한다. 고객관계관리는 데이터베이스마케팅과 같은 조직내 실무자 중심의 관점과 접근이 아니라 최고경영자의 마케팅 관점의 경영철학 구현을 통한 전사적이고 조직적인 참여가 이루어져야 한다. 그럼에도 불구하고 많은 기업들이 고객관계관리 기법을 도입하고 구축하는 과정에서 이러한 점을 간과해 왔으며 그 결과, 고객관계관리를 통해 수익성을 높인 기업이 있는 반면에 고객관계관리에 엄청난 비용만을 투입하고 별다른 성과를 거두지 못한 기업들도 다수이다. 본 연구는 CRM구축 및 실행과정에서의 성공요인을 기존 연구와 달리 마케팅적 관점에서 발견해 내고 있다. 시장지향성과 고객지향성이라는 마케팅 철학에서부터 고객정 보지향성과 핵심고객지향이라는 실무적 개념까지 포함해서 마케팅적인 관점에서의 성공적 CRM구축을 위한 선행요인을 발견하고, 이러한 요인들이 마케팅관점의 관계품질과 실무적인 CRM성과에 어떤 영향을 미치는지를 분석함과 동시에 관계품질과 CRM성과 간의 관계의 강도까지 실증적으로 분석해 보았다. 경험적 분석 결과 본 연구에서 구축한 마케팅관점의 CRM선행요인들 중에서 일부 요인을 제외하고는 대체적으로 관계품질 및 CRM성과를 높이는데 상당한 기여를 하고 있음이 확인되었으며, 영향관계의 정도에는 어느 정도 차이가 있음이 확인되었다. 또한 관계품질과 CRM성과 및 세부적 개념구성요인들 간에 매우 높은 정(+)의 관계가 존재함을 확인했다. 이는 CRM의 최종 성과를 달성하기 위해서 CRM구축 및 실행이후에 고객만족과 고객신뢰라는 개념적 연결고리를 강화함과 동시에 이러한 관계품질이 고객유지와 고객점유 정도의 향상으로 이어지도록 하는 창조적 전술개발이 요구됨을 의미한다. CRM을 구축 및 실행하는 대부분의 기업들이 조급하게 재무적인 성과를 기대하는 경향이 있는데, CRM은 마케팅철학을 포함하는 장기적인 경영활동임을 주지해야 한다. 기존의 많은 연구들이 취하고 있는 연구맥락에 근거해서 기술적인 시스템만을 갖추었다고 하여 단기적인 성과를 바라는 것은 오히려 비용의 낭비만을 초래 할 수 있음에 주목해야 한다. 본 연구결과를 바탕으로 CRM의 성공적 구축을 통해 관계품질을 강화하는 것에 대한 전략적 통찰을 제공함과 동시에 실질적인 CRM성과를 달성하기 위한 마케팅 관점의 연결구조를 어떻게 효율적으로 강화할 수 있을 것인가에 대한 학술적이고 실무적인 시사점을 도출했다.

• 한국유통학회지:유통연구
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• 제15권3호
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• pp.71-110
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• 2010

본 연구에서는 항공권 예약 발권 웹사이트의 서비스 품질을 측정 뿐만 아니라 서비스 회복도 측정하고자 하였다. 또한 서비스 품질과 서비스 회복이 고객만족 및 충성의도에 미치는 영향관계를 실증하고자 하였다. 온라인 서비스 품질과 온라인 서비스 회복의 측정을 위해 Parasuraman, Zeithaml, & Malhotra(2005)가 개발한 E-S-QUAL과 E-RecS-QUAL을 사용했으며, 했다. E-S-QUAL은 온라인 서비스 품질을 측정하는 도구로써, 효율성, 시스템 이용가능성, 이행성, 프라이버시의 4개 차원 22개 항목으로 구성된다. E-RecS-QUAL은 온라인 서비스 회복을 측정하는 도구로써, 반응, 보상, 접촉의 3개 차원 11개 항목으로 구성된다. 실증분석을 위한 설문조사는 항공사나 여행사의 웹사이트를 통해 국내 외 항공권을 구입해 본 경험이 있는 소비자를 대상으로 실시하였는데, 총 400부가 회수되었고, 이 중 342부를 최종분석에 사용하였다. 실증분석을 위해 AMOS 7.0과 SPSS 15.0을 사용하였다. 먼저, SPSS 15.0을 사용하여, 요인점수를 이용한 회귀분석으로 가설검증을 한 결과, <가설 I-1, 2, 3, 4, II-1, 2, 3, III-1, IV-1>이 전부 채택되었다. 온라인 서비스 품질과 온라인 서비스 회복의 각 차원은 모두 전반적인 서비스 품질에 유의한 영향을 보였고, 전반적인 서비스 품질은 고객만족에 유의한 영향을 미쳤다. 마지막으로 고객만족 역시 충성의도에 유의한 영향을 미치는 것으로 확인되었다. 한편 AMOS 7.0을 사용하여 모형 분석을 하였는데, 모형의 적합도는 가설검증을 하기에 합당한 수치가 나왔다. 이를 토대로 가설검증을 한 결과, <가설 I-1, 3, II-1, 3, III-1, IV-1>은 채택되었고, <가설 I-2, 4, II-2>는 기각되었다. 이 결과는 Parasuraman et al.(2005)이 주장한 것처럼 E-S-QUAL을 나타내는 데는 요인점수를 이용한 회귀분석이 더 적합하다는 것을 보여주는 것이라고 판단된다. 이를 토대로 본 연구의 시사점을 정리하였다.