• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.37-48
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• 2016

This study explored how university entrepreneurial education service quality affects education satisfaction, entrepreneurial capability, and entrepreneurial intention. Although the various university entrepreneurial educations have been provided, current state of education support for entrepreneurial achievement is quite insufficient. In order to analyze factors for the entrepreneurial achievement enhancement, this study examines how university entrepreneurial education service quality affects education satisfaction, entrepreneurial capability, and entrepreneurial intention, as follows. First, in order to measure the entrepreneurial education service quality on the basis of theoretical background of the service quality, we set twenty one (21) questions for five (5) factors as follows: materiality, reliability, reactivity, certainty, consensuality. And then, impact of the entrepreneurial education service quality on education satisfaction and entrepreneurial capability was evaluated based on the survey results. Second, on the basis of previous studies of customer satisfaction, we gave the definition of education satisfaction for students in entrepreneurial education, and analyzed the causation that affects some elements of entrepreneurial capability (i.e. fulfillment capability, capacity of creativity, conceptualization capability, and social competence) by the aforementioned definition. Third, we analyzed the causation that affects entrepreneurial intention by education satisfaction and entrepreneurial capability. As a result, unlike the previous studies, there are only four (4) factors were confirmed for the entrepreneurial education service quality because the materiality and the reliability were founded as single element under the analysis. And it was identified that the entrepreneurial education service quality which is comprised of four (4) factors affects the education satisfaction and the entrepreneurial capability. In addition, as a result of the analysis under defining four (4) factors of entrepreneurial capability, the fulfillment capability and the capacity of creativity were founded as single element, and it was confirmed there is only three (3) factors, including the conceptualization capability and the social competence. With this result, it was confirmed that the entrepreneurial education service quality is influenced by the education satisfaction. Therefore, although the entrepreneurial intention is influenced by the entrepreneurial capability, it is not directly affected by the education satisfaction. These results showed that the education satisfaction affects indirectly to the entrepreneurial intention through the entrepreneurial capability that affected by the education satisfaction.

• The Journal of the Korean life insurance medical association
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• v.22
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• pp.139-169
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• 2003

국내 보험 산업은 경제발전에 따라 많은 성장을 이루어왔으나 단체보험은 보험 회사의 외부적 또는 내부적 환경으로 인해 활성화가 미흡한 상황이다. 개인보험시장의 포화, 해외시장에서 단체보험의 지속적인 성장, 사회보험 민영화 논의, 방카슈랑스와 보험시장의 개방 등 급격한 변화를 겪고 있는 보험영업환경을 고려한다면 향후 확대될 기업복지시장에서의 성공적 역할수행을 위해서는 단체보험 영업과 지원시스템의 보완이 시급한 과제라고 할 수 있다. 특히 언더라이팅 기법은 단체보험의 핵심역량이며 회사의 경쟁력 강화와 사차익 안정화를 위해서는 단체보험 인수기법의 선진화가 필수요건이다. 단체보험은 대수의 법칙, 수지상등의 원칙 등 보험의 기본원리라는 측면에서는 개인보험과 다른 점이 없지만 하나의 계약을 통해 집단의 피보험자에게 보장을 제공하기 때문에 가지게 되는 역선택 축소, 비용절감, 기업에 의한 1차선택 등 몇 가지 특성들은 인수기법에서의 차이를 필요로 한다. 하지만 국내의 단체보험 언더라이팅은 기본개념조차 제대로 정립되어 있지 못한 초기단계로 단체보험의 특성을 제대로 반영할 수 있는 위험평가를 위해서는 선진기법의 도입이 절실하다. 첫째, 자유보장한도(FREE COVER LIMIT)의 도입이다. 자유보장한도는 단체에 대한 위험과 피보험자 개인의 위험을 구분하는 기준으로 자유보장한도내의 피보험자에 대해서는 고지나 의적 검사를 요구하지 않고 개인별 언더라이팅을 하지 않으며 거절체나 표준하체이더라도 자유보장한도 금액까지는 나머지 정상 피보험자들과 동일한 보장을 제공하는 것을 말한다. 이는 피보험자별 위험을 중심으로 심사하고 있는 현재의 국내 단체보험 인수방법에서 발생되는 고객측 불만과 심사의 비효율성을 개선할 수 있는 방안이다. 둘째, 단체별 특성에 따른 보험요율 차등화이다 단체는 산업의 종류, 피보험자의 직무, 지역적 위치, 크기(피보험자수), 성별구성비 등 여러 가지 특성들을 가지고 있으며 이런 특성들은 보장급부에 따라 발생위험에 영향을 미칠 수 있다. 하지만 현재 나이와 성별에 따라서 피보험자별로 정해지는 요율체계만으로는 이런 위험들을 적절하게 반영하지 못하고 단체별 형평성에도 문제가 생긴다. 따라서 정확한 data 구축을 통해 단체 특성별로 어떤 보장에 어느 정도로 위험 발생에 영향을 미치는지를 분석하여 보험요율을 차등부과 할 수 있는 체계를 갖추어야 한다. 셋째, 경험을 활용한 보험료 산정기법이다. 이것은 개인보험과 구분되는 가장 큰 단체보험만의 특성이라 할 수 있는데 해당 단체의 과거 경험 data 즉 청구로 인한 지급금액을 토대로 당해 계약 보험료를 결정하는 방법이다. 이를 위해서는 과거 경험 data가 얼마나 신뢰할 수 있는 지의 정도(신뢰도)를 측정하는 것이 필요하다. 과학적이고 효율적인 단체보험 인수를 위해서 경험율의 활용은 반드시 이루어져야 할 선결과제이다. 넷째, 관련규정의 정비가 필요하다 단체보험의 특성을 갖기 위해서는 가입가능한 피보험자들의 자격규정(eligibility), 활동적근무 조건(actively at work)이 요구되어야 하며 참여비율(가입비율)과 보장수준의 구성방법에 대해서도 가이드라인 설정을 통해 역선택을 최소화 할 수 있는 제도적 보완이 마련되어야 한다. 이런 선진인수기법의 도입과 함께 단체보험 언더라이터의 필요역량을 개발하고 향상시키는 노력도 병행되어야만 종합금융화, 대형화가 진전되면서 대경쟁의 구도로 바뀌고 있는 국내 보험시장에서의 경쟁력 확보가 가능할 것이다.

• Journal of Environmental Policy
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• v.6 no.2
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• pp.97-122
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• 2007

In 2006, the Ministry of Environment of the Republic of Korea, completed the construction on national environmental geographic informations including National Environmental Assessment Map, Ecological Map, Land Cover Map and so on. At this point of time, it is necessary to establish the advance strategy on national environmental geographic information, considering the complicated characteristics. Therefore, this study suggests the advance strategy on national environmental geographic information, reflecting results of analyzing the given condition and the trend of informatization. National environmental geographic information has spacial quality to be managed dispersedly in a department unit or an operations unit. According to this quality, requirements for users who need the policy based on national environmental geographic information and complex information are not satisfactory. And, the information system centering the process of administrative affairs should be converted to one putting decision supporting first in importance. Therefore, this study sets up "the realization of the sustainable land management system by advancing national environmental geographic information" as the vision of the advancing strategy. In order to accomplish the vision, this study established the purpose as follow; constructing strategic and geographic information based on knowledge, arranging the foundation to open information to the public transparently, building expanded and integrated national environmental geographic information, embodying the environmental administration based on national environmental geographic information, enhancing the efficiency of national environmental geographic information, and supporting efficiently the process of administrative affairs. And this study suggests executive plans to achieve the vision and the purpose as next; developing the quality control program to verify the information confidence, building the system to integrate and to provide environmental information, collecting information, readjusting laws and regimes in parts of the construction, the application and the management of the system, and operating the task process, human power, organization and information technology. This study puts the emphasis on providing the turning opportunity politically which is possible to make sure of the information confidence in quality, advancing from the expansion of one in quantity. However, this improvement strategy doesn't reflect all national environmental geographic information and current status of environmental administrations. Therefore, for applying the result of this study to the actual environmental administration, it is necessary to discuss regularly the systematic categorization of national environmental geographic information, to interview with the contracting parties and so on hereafter.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.107-118
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• 2016

The advent of 5G mobile communications, which is expected in 2020, will provide many services such as Internet of Things (IoT) and vehicle-to-infra/vehicle/nomadic (V2X) communication. There are many requirements to realizing these services: reduced latency, high data rate and reliability, and real-time service. In particular, a high level of reliability and delay sensitivity with an increased data rate are very important for M2M, IoT, and Factory 4.0. Around the world, 5G standardization organizations have considered these services and grouped them to finally derive the technical requirements and service scenarios. The first scenario is broadcast services that use a high data rate for multiple cases of sporting events or emergencies. The second scenario is as support for e-Health, car reliability, etc.; the third scenario is related to VR games with delay sensitivity and real-time techniques. Recently, these groups have been forming agreements on the requirements for such scenarios and the target level. Various techniques are being studied to satisfy such requirements and are being discussed in the context of software-defined networking (SDN) as the next-generation network architecture. SDN is being used to standardize ONF and basically refers to a structure that separates signals for the control plane from the packets for the data plane. One of the best examples for low latency and high reliability is an intelligent traffic system (ITS) using V2X. Because a car passes a small cell of the 5G network very rapidly, the messages to be delivered in the event of an emergency have to be transported in a very short time. This is a typical example requiring high delay sensitivity. 5G has to support a high reliability and delay sensitivity requirements for V2X in the field of traffic control. For these reasons, V2X is a major application of critical delay. V2X (vehicle-to-infra/vehicle/nomadic) represents all types of communication methods applicable to road and vehicles. It refers to a connected or networked vehicle. V2X can be divided into three kinds of communications. First is the communication between a vehicle and infrastructure (vehicle-to-infrastructure; V2I). Second is the communication between a vehicle and another vehicle (vehicle-to-vehicle; V2V). Third is the communication between a vehicle and mobile equipment (vehicle-to-nomadic devices; V2N). This will be added in the future in various fields. Because the SDN structure is under consideration as the next-generation network architecture, the SDN architecture is significant. However, the centralized architecture of SDN can be considered as an unfavorable structure for delay-sensitive services because a centralized architecture is needed to communicate with many nodes and provide processing power. Therefore, in the case of emergency V2X communications, delay-related control functions require a tree supporting structure. For such a scenario, the architecture of the network processing the vehicle information is a major variable affecting delay. Because it is difficult to meet the desired level of delay sensitivity with a typical fully centralized SDN structure, research on the optimal size of an SDN for processing information is needed. This study examined the SDN architecture considering the V2X emergency delay requirements of a 5G network in the worst-case scenario and performed a system-level simulation on the speed of the car, radius, and cell tier to derive a range of cells for information transfer in SDN network. In the simulation, because 5G provides a sufficiently high data rate, the information for neighboring vehicle support to the car was assumed to be without errors. Furthermore, the 5G small cell was assumed to have a cell radius of 50-100 m, and the maximum speed of the vehicle was considered to be 30-200 km/h in order to examine the network architecture to minimize the delay.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.4
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• pp.593-601
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• 2016

This study was carried out to establish an effective marketing strategy based on Importance-Performance Analysis (IPA) of rice-convenience foods. IPA is one of the most efficient and simple methods to evaluate product quality. Data were collected from 652 people (320 males and 332 females) and analyzed by SPSS 19.0. Subjects consumed rice-convenience foods as a snack substitute (19.3%), breakfast (20.7%), lunch (37.4%), dinner (15.2%), and late-night meal (7.4%). The purpose for consumption of rice-convenience foods were as follows: light meal (34.8%), lack of time to prepare meal (42.2%), favorite restaurant is not nearby (2.3%), save money (3.4%), and outdoor activities (9.7%). All attributes about rice-convenience foods were categorized into intrinsic property and extrinsic property. As a result of factor analysis, health, sensibility, and diversity factors were extracted from intrinsic property. In addition, dependence and appearance factors were drawn from extrinsic property. In analyzing the differences between importance and performance, there were significant differences; 16 items in the intrinsic property (P<0.01), and 10 items in the extrinsic property (P<0.001). The IPA matrix is composed of four quadrants, and each represents different strategies; the first, 'keep up the good work', the second, 'possible overkill', the third, 'low priority for management', and the fourth, 'concentrate management'. As a result, factors of rice-convenience foods positioned in the fourth quadrant were 'safety (from food additives, etc.)' and 'price' in the intrinsic property and 'nutrition label' and 'safety of packaging material' in the extrinsic property. They need to be improved immediately. In this study, rice-convenience food factors for continuous maintenance and concentrative improvement were compared by IPA. Based upon the results of this study, it is necessary to develop methods to make efficient use of limited resources and practical marketing strategies.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1747-1758
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• 2006

Rapid development of the information technology has influenced on the changes in every sector of human environments. One prominent change in retail market is an increase of electronic stores, which has prompted practical and research interest in the product and store attributes that include consumer to purchase products from the electronic shopping. Therefore many marketers are paying much attention to the criteria of evaluating clothing and web service on internet shopping malls. The purpose of this study is to examine differences of clothing and web service criteria of consumer groups (High-Involvement & High-Ability, Low-Involvement & High-Ability, High-Involvement & Low-Ability, and Low-Involvement & Low-Ability) who are classified into consumer involvement and internet use ability. The subjects of this study were 305 people aged between 19 and 39s, living in Seoul and Gyeonggi-do area, and having experiences in buying products on the internet shopping. Statistical analyses used for this study were the frequency, percentage, factor analysis, ANOVA and Duncan test. The results of this study were as follows: Regarded on the criteria of evaluating clothing, the low different groups had significant differences in the esthetic, the quality performance and the extrinsic criterion. Both HIHA group and HILA group showed the similar results. They considered every criterion of evaluating clothing more important, compared with other groups. Regarded on the criteria of evaluating web service related to the low different groups, there were significant differences in the factors related to the shopping mall reliance, the product, the satisfaction after purchase, and the promotion and policy criterion. Both HIHA group and HILA group showed the similar results as well. They considered every criterion of evaluating web service more important, compared with other groups. In conclusion, HI groups perceive relatively more dangerous factors which can be occurred during internet shopping. Therefore, internet shopping malls need to provide clothing that can satisfy the HI groups as well as make efforts to remove the dangerous factors on the internet.

• Journal of Distribution Science
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• v.10 no.1
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• pp.33-42
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• 2012

This study is focused on traditional market's competitiveness in Korea. Ever since the Korean retail industry had been opened to the big conglomerates, the traditional markets have faced very serious competition from various types of distribution channels. In particular, this study has been conducted to find another way to help the Korean traditional market from the perspective of college students who are consumers of the future. This study examines the relationships among store choice attributions, consumption emotion, consumer's value, and relationship quality from the perspective of college students. In order to verify the relationship, and moderating and mediating effects, data were collected from 126 college students in Whasung, Gyeonggi Province to test the theoretical model and its hypotheses. The results of this study are as follows: First, service (= .263, p < .01) and advertising (= .188, p < .05) are significantly positively related to relationship quality. However, store atmosphere (= .176, p = .052) is not statistically significantly related to relationship quality. The result that students have stereotypes about the atmosphere of traditional markets and are therefore excluded from their store choice attributions can be expected. Second, college students selected service division (= .230, p < .05) as the most important factor among the traditional market's store choice attributions. This result reflected that enhancing service strategy would strengthen the traditional market against discount stores. The process of product selection by customers in discount stores is based on the concept of self-service. However, traditional market traders can make various contacts with their customers. If traditional market traders can enhance various service factors just like in the process of product selection, it will effect strong competitive advantages. Third, it is also revealed that consumer's value exhibit complete mediation effect in the relationships between service and advertising. These results showed that traditional markets must be considered for consumer value. Because previous studies showed that values refer to "enduring belief that … specific mode of conduct or end-stat of existence … personally or socially preferable to an opposite of converse mode of conduct or end-state of existence" (Rokeach, 1973; George and Jones, 1996). Furthermore, Schwartz (1994) defined values as desirable trans-situational goals, varying in importance, that serve as guiding principles in the life of a person or other social entity. As conceptions of desirable end-states of existence or modes of conduct, values help people choose, evaluate, and give meaning to their experiences (Rokeach, 1973). Efforts (e.g. promote the consumers value) of the traditional market traders will improve the preferences for the traditional market of consumers and college students. Implications and future research directions are also discussed.

• Journal of Navigation and Port Research
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• v.40 no.4
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• pp.197-205
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• 2016

Our country, which relies on maritime transport a majority of import and export trade volume and faced with unexpected accidents, it is difficult to operate the normal function of container terminal. It also caused by reliability issue raised is likely to be given a blow to the new volumes to attract and maintain existing volumes. Under this views, the container terminal is a situation that highlights the role of the harbor workers and cope with aggressive work to provide the best quality services to customers 365 days. On these grounds, the heavy work burden is passed on to the harbor workers and caused accidents every year. The study was analyzed the safety status of the container terminal under the real following the conditions as disaster status analysis, insufficient safety training circumstances and safety training from 2012 year to 2015 in the target current K.Y terminal. As a result of equipments safety training analysis, it shows that 2012 year happened 45 cases and 31 cases in 2013 year until not practicing the training over the Gantry Crane equipment. One hand 23 cases took place in 2014 while preparation training and the other intensive training period of 2015, 8 cases occurred. it shows that 2012 year happened 13 cases and 19 cases in 2013 year until not practicing the training over the Transfer Crane equipment. One hand 12 cases took place in 2014 while preparation training and the other intensive training period of 2015, 8 cases occurred. it shows that 2012 year happened 9 cases and 9 cases in 2013 year until not practicing the training over the Yard Tractor equipment. One hand 9 cases took place in 2014 while preparation training and the other intensive training period of 2015, 4 cases occurred. Because safety training of the container terminal was given to greatly impact on the mandatory safety training, self-educational enforcement and specified equipments safety training, hence the container terminal is to strengthen the safety education to prevent accidents in advance.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.8
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• pp.1069-1078
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• 2008

The purposes of this study were to identify the consumer behavior using in campus specialty coffee shop and to establish the marketing strategies through Importance-Performance Analysis (IPA) of service quality. Questionnaires were distributed to 725 students at K University located in Masan, from April 23 to May 3, 2007. Finally, 621 questionnaires were included in the final analysis (response rate: 85.7%). For statistical analysis, SPSS (12.0) was used to conduct the descriptive analysis, t-test, factor analysis and reliability test. The results of this study were as follows. The average cost of using specialty coffee shop in campus was \ 2,096, the average staying time was 25.92 min and the average number of visits per month was 2.17 times. The importance level of 'employee's attitude', 'physical environment', 'sensory quality of coffee', 'beverage features', 'representativeness' were 3.88, 3.79, 3.73, 3.67, 3.28 points, respectively. Also, the performance level of 'sensory quality of coffee', 'beverage features', 'employee's attitude', 'physical environment', 'representativeness' were 3.13, 3.06, 3.05, 2.77, 2.61, respectively. The importance and performance levels of service quality of specialty coffee shop in campus were significantly different (p<.001). Establishment of marketing strategies for in campus speciality coffee shop was possible through the IPA of service quality. Strategies for improving customer satisfaction were to secure enough chairs/ tables, to procure comfortable chairs for customer and to ensure the quality of coffee bean and service of employee.