The Journal of The Korea Institute of Intelligent Transport Systems
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v.6
no.3
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pp.153-164
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2007
Nowaday, in Korea, many u-City projects have been developed as a core business in the new town development project by national or local level of government. However, the new business projects have some problems, such as excessive number of u-services, increased project funds and period, and lower u-services due to lack of u-service evaluation methodologies. Therefore, this paper proposes a new u-service evaluation methodology to solve current problems. The methodology gives an ability to guard general u-service groups for reaching the main goal of the u-City project, and then select alternative u-service groups against being limited by the law and technology in the project year. Besides, as a key variable on performing u-City plans, the complexity between stakeholders is considered in the methodology. Finally, through the Optimal Sequential Method in the methodology, the maximum value of u-service group is obtained as a optimal service group of u-City.
Journal of Korean Society of Industrial and Systems Engineering
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v.39
no.3
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pp.156-169
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2016
The objective of this study is to investigate patent trends of Daegu city which tries to introduce environment friendly energy and to develop new technology or new industry sprung from technology convergence on smart decentralized energy technology and other technologies. After applying network analysis to corresponding groups of technology or industry convergence, strategy for future energy convergence industry is provided. Patent data applied in Daegu city area are used to obtain research goal. The technology which contains several IPC codes (IPC Co-occurrence) is considered as a convergence technology. Path finder network analysis is used for visualizing and grouping by using IPC codes. The analysis results categorized 13 groups in energy convergence industry and reclassified them into 3 cluster groups (Smart Energy Product Production Technology Group, Smart Energy Convergence Supply Technology Group, Smart Energy Indirect Application Technology Group) considering the technical characteristics and policy direction. Also, energy industry has evolved rapidly by technological convergence with other industries. Especially, it has been converged with IT industry, and there is a trend that energy industry will be converged with service industry and manufacturing industry such as textile, automobile parts, mechanics, and logistics by employing infrastructure as well as network. Based on the research results on core patent technology, convergence technology and inter-industry analysis, the direction of core technology research and development as well as evolution on decentralized energy industry is identified. By using research design and methodology in this study, the trend of convergence technology is investigated based on objective data (patent data). Above all, we can easily confirm the core technology in the local industry by analyzing the industrial competitiveness in the macro level. Based on this, we can identify convergence industry and technology by performing the technological convergence analysis in the micro level.
CRM is at the core of any customer-focused business strategy and includes the people, processes, and technology questions associated with marketing, sales, and service. In today's hyper-competitive world, organizations looking to implement successful CRM strategies need to focus on a common view of the customer using integrated information systems and contact center implementations that allow the customer to communicate via any desired communication channel. A CRM solution contains a number of sophisticated tools that enable to extract detailed information about customers. This information can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customers' needs and target new products to particular customer groups. This paper presents an approach for forming the product-customer groups using neural networks for customer relationship management. The Carpenter-Grossberg's neural network, which has been used for manufacturing cell formation in group technology, is modified and applied for product-customer group formation. As a result of numerical experiments, it is also useful for more complex problems in which customers have different preferences for each product.
Purpose - The objective of this research is to investigate whether national culture influences consumers' service evaluations. The services industry is receiving increasing attention from academia and practitioners as its position grows in global markets. Standardization or localization is a traditional managerial decision in global business. As the boundaries of services expand across national borders, firms are required to decide whether to standardize services or adjust to local needs. Though it is imperative to reflect global perspectives in marketing theories, these perspectives are mostly based on Western conceptualization of the world. Through a comparison of consumer groups from two culturally remote countries, service quality evaluation mechanisms are examined based on similar stimuli. The study tries to expand service marketing perspectives across national borders. Research design, data, and methodology - Eastern and Western countries are known to be culturally distinct. One Eastern and one Western country were chosen: an Anglo-Saxon country (the U.S., England, and Australia) and South Korea. In Hofstede's cultural dimensions, the differences between the two are pronounced. The Anglo-Saxon based countries share many similarities. Samples of the same sites are targeted. Questionnaires using a service quality scale (SERVQUAL) and a customer satisfaction scale were distributed. Utilizing Hofstede's typology of culture, the service evaluation mechanisms of the respondents from the two groups are evaluated. Three hypotheses are proposed from the review of the literature. These are service evaluation habits, importance of service quality dimensions for the individualistic/collectivistic countries, and strong/weak uncertainty avoidance cultures. Consumers from the individualistic countries are considered to care about themselves and demand a higher level of responsiveness and assurance. On the other hand, consumers from high uncertainty avoidance cultures are assumed to rely more on tangible questions of service quality, as these are the only predictable service quality indicators. A t-test and regression analysis are applied to validate the constructs. Results - The respondents from the Anglo-Saxon countries are more generous on service evaluations than Koreans. Researchers have indicated that Americans tend to give higher service evolution scores than European, Mexican, and Korean counterparts. The tendency is the same here. The sample from Anglo-Saxon countries demonstrated higher service evaluation scores on every dimension of SERVQUAL. For the second hypothesis, the respondents from the collectivistic culture rely less on core service dimensions (assurance and responsiveness) due to their tendency to place more value on group harmony than individual interest. However, the third hypothesis was not validated. Conclusions - The study attempted to expand the scope of service marketing to reflect cross-national perspectives. Service quality is known to have a strong influence on customer satisfaction and loyalty behavior. However, this research demonstrated that individuals from different cultural territories respond heterogeneously to the same stimuli. Scholars argue that national cultures are main factors in such deviated behavior. Scholars and global managers should be aware of differences in consumer value judgment mechanisms such as satisfaction, expectations, and perceptions.
Journal of the Korean Society of Environmental Restoration Technology
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v.18
no.6
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pp.111-133
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2015
This study was carried out to survey the vascular plants of Baekdudaegan Arboretum area. The results are as follows. The numbers of flora in this study area were summarized as 655 taxa including 95 families, 332 genera, 567 species, 5 subspecies, 72 varieties and 11 formas. The rare plants were 17 taxa including Parasenecio firmus, Rhododendron micranthum, Iris odaesanensis, Lysimachia coreana and so forth. The Korean endemic plants were 16 taxa including Weigela subsessilis, Heloniopsis koreana, Salix koriyanagi, Vicia chosenensis and so forth. Plants Adaptable to Climate Change were Northern plants 18 species, Southern plants 2 species, endemic plants 10 species. The naturalized plants were 44 taxa and ratios of naturalized index and urbanization index were estimated Core area 10.2% and 4.9%, Mt. Munsu 4.9% and 2.3% and Mt. Okseok 5.5% and 2.6%. The floristic regional indicator plants found in this area were 3taxa(2.5%) of grade V, 12taxa(11.0%) of grade IV, 22taxa(20.2%) of grade III, 35taxa(32.1%) of grade II. In life forms, hemicryptophytes were The most dominant. Next was a Therophytes. In addition, 492 taxa were categorized by usage into 8 groups, as follows: Edible 239taxa(36.5%), Fiber 10taxa(1.5%), Industrial 1taxon(0.2%), Miscellaneous 183taxa(27.9%), Ornamental 65taxa(9.9%), Pasturing 259taxa(39.5%), Siscellaneousg 14taxa(2.1%) and Timer 21taxa(3.2%).
Mathematical modeling has been a crucial topic in mathematics education as students' problem solving competency are regarded as a core skill for future society. Despite of the importance of mathematical modeling in school mathematics, there have been very limited studies relating pre-service teachers' knowledge and perceptions on mathematical modeling. In this vein, this study aimed to investigate pe-service mathematics teachers' perceptions on mathematical model, mathematical modeling and educational use of mathematical modeling, and their relationships. The current study utilized a survey consisted of 18 items. The responses of 210 pre-service mathematics teachers to the survey items were quantitatively analyzed using descriptive statistics, analysis of variance, exploratory and confirmatory factor analysis, the structural equation model, and multi group analysis. The results of analysis of variance revealed that pre-service teachers in difference groups (majors, grades, and experiences with mathematical modeling) showed statistically significant differences in mean values. Moreover, according to the results from the structural equation modeling analysis, pre-service mathematics teachers' perceptions on mathematical model and modeling affected their perceptions on educational use of mathematical modeling. In addition, depending on their pre-experiences with mathematical modeling, pre-service teachers represented a different relationship between perceptions on mathematical modeling and educational use of mathematical modeling. Implications for future studies and mathematics classrooms were discussed.
Journal of The Korean Association For Science Education
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v.35
no.4
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pp.691-707
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2015
This study aims to develop biology teachers' education program based on argumentation activity about core concepts of evolution and to analyze the characteristics of core concepts of evolution learned during the program. The eight core concepts of evolution in this study were variation, heritability of variation, competition, natural selection, adaptation, differential reproductive rate of individuals, changes in genetic pool within a population, and macroevolution. The performances of teachers participating in the program were compared before and after argumentation activities; consisting of seven sessions on the eight core concepts of evolution. The process of the program was specially designed by learning cycle model for teacher education, consisting of seven phases: identification of the task, production of a tentative argument, small group's written argument, share arguments with the other groups, reflective discussion, final written argument, and organization by an instructor. Participants in the study were two pre-service biology teachers and four in-service biology teachers. The results suggest that biology teachers reduced the teleological explanation for biological evolution and improve its adequacy after the intervention. Teachers lacked the opportunity to discuss variation, heritability of variation, competition, and macroevolution because science textbooks lack information on the concepts of biological evolution. The results of this study suggest that because the argumentation program developed for teachers helps to improve understanding the concepts of evolution and to reduce inadequate conceptions in biology, teacher education programs using argumentation activity and eight core concepts of evolution will play a role for efficient evolution education for biology teachers.
Global competition has resulted in companies' expectations to heighten competitiveness and enhance customer service through ownership companies' reduced investment on logistics costs, in turn focusing on the development of core competence, in addition to logistics companies' increased tendencies to satisfy customers' needs and requirements through logistics outsourcing. However, a partial perspective of the logistics contract exists due to its flexible characteristic in order to act accordingly in times of sudden changes and uncertainty. Therefore, this study is designed to test through a survey the standard of desired format of logistics contract in comparison to the currently existing format based on the results of researcher's previous study on the specific clauses in the logistics contract and its effect on the logistics outcome. A hypothesis has been designed to test the differences of perspective between two test groups, and a t-test &IPA (Importance-Performance Analysis) was performed. As a result, firstly, there was a significant difference of perspective between the ownership companies and logistics companies when dealing with the logistics contract; secondly, a significant difference of perspective was also expressed between the two groups on how to guide and re-direct the present standard of logistics contract. In addition, the two groups also showed a difference of expectations between the current and future service standard. Therefore, this study is designed to specify the difference of perspective and expectations between the ownership companies and the logistics companies in order to provide a gateway for the two groups in order to further develop and enhance the field of logistics.
VM (Virtual Machine) live migration is a server virtualization technique for deploying a running VM to another server node while minimizing downtime of a service the VM provides. Currently, in cloud data centers, VM live migration is widely used to apply load balancing on CPU workload and network traffic, to reduce electricity consumption by consolidating active VMs into specific location groups of servers, and to provide uninterrupted service during the maintenance of hardware and software update on servers. It is critical to use VMlive migration as a prevention or mitigation measure for possible failure when its indications are detected or predicted. In this paper, we propose two VNF live migration methods; one for predictive load balancing and the other for a proactive measure in failure. Both need machine learning models that learn periodic monitoring data of resource usage and logs from servers and VMs/VNFs. We apply the second method to a vEPC (Virtual Evolved Pakcet Core) failure scenario to provide a detailed case study.
Byeon, Jin Ok;Lee, Ju Hyang;Kim, Yu Ri;Lee, Hye Jae
Health Policy and Management
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v.26
no.4
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pp.333-342
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2016
Background: The use of therapeutic materials based on new health technology has increased in recent years in the field of medicine, raising concerns for medical practitioners regarding increased spending on the new therapeutic materials amid the rapid population ageing and increase of chronic diseases in Korea. While therapeutic materials have significant importance in the health care system, they have not been given appropriate attention in the academic world of Korea. The purpose of this study is to identify factors that affect the growth of expenditure on therapeutic materials and to derive implications for an effective management considering the diversity of therapeutic materials. Methods: Using the claims data of the National Health Insurance Services, specific utilization patterns of groups of therapeutic materials in the middle classification level of Health Insurance Review and Assessment Service from 2007 to 2014 were analyzed. Four categories (J5083: drug eluting coronary stent, D0302: nonmetallic anchor, K6014: gauze, K6023: gauze) that exhibit unique patterns with respect to price and volume were selected. Then, decomposition analysis was performed to identify the largest contributor to the spending growth by dividing the products into existing, new, and abandoned products for the period between 2010 and 2013. Results: The effect of new products had larger impact on spending growth than the effect of core items in drug eluting coronary stent (J5083) and nonmetallic anchor (D0302). In addition, existing products in general included items priced relatively lower when compared with another item manufactured by the same company. In the gauze category, however, existing products had the largest impact on expenditure and the effect of volume was greater than that in other categories. Conclusion: This study provides evidence that appropriate management measures classified by the characteristics of therapeutic materials are required for therapeutic materials pricing and reassessment in Korea.
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