• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.337-342
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• 2021

The purpose of this study is to analyze the environment and strategic behaviors of cultural contents companies with a focus on Iconix, and to derive strategic recommendations for Iconix to pursue in order to create a sustainable competitive advantage. As a result of the analysis, Iconix is a vertically integrated development-business system from content planning to business in line with their mission to develop into an all-weather entertainment content provider that can confidently compete with the major players in the US and Europe that are already leading the global market. It is building a strong global business network covering both domestic and overseas markets in stages, taking a high-level global strategy. However, depending on Pororo's success or due to various problems within the organizational structure, it is facing limitations. Therefore, if the various strategic suggestions presented in this study are implemented based on the One Source Multi Channel/Multi Use strategy that can maximize the added value of contents through the participation and business linkage of leading companies in each sector of the entertainment industry, the total entertainment will be stabilized. It will establish itself as a leader in the contents industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.370-379
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• 2018

The Korean government announced plans for the International Science Business Belt as a spatial area for promoting the linkage between scientific knowledge and commercialization in 2009. R&D and entrepreneurial activities are essential for the success of the International Science Business Belt. In particular, prioritizing the types of businesses is critical at the cluster establishment stage in that this largely affects the features and development of clusters comprising the International Science Business Belt. This research aims to predict the entry and growth of firms that specialize in four industrial clusters, including Big Science Cluster, Frontier Cluster, ICT Cluster, and Bio-Healthcare Cluster. For this purpose, we employ the Swann & Prevezer's industrial clustering model to identify sectors that affect the establishment and growth of industrial clusters in the International Science Business Belt, focusing on ICT, Bio-Healthcare and Frontier clusters. Data was collected from the 2014 Korean Innovation Survey (KIS) and University Alimi for the ICT cluster, 2014 National Bio Industry Survey and University Alimi for the Bio-Healthcare Cluster, and the 2015 National Nano Convergent Industry Survey and Annual Report of Nano Technology for the Frontier cluster. Empirical results show that the ICT service sector, bio process/equipment sector, and Nano electronic sector promote clustering in other sectors. Based on the analysis results, we discuss several policy implications and strategies that can attract relevant firms for the development of industrial clusters.

• The Journal of Fisheries Business Administration
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• v.43 no.3
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• pp.75-87
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• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.95-116
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• 2009

Ontologies have provided supports in integrating heterogeneous and distributed information. More and more ontologies and tools have been developed in various domains. However, building ontologies requires much time and effort. Therefore, ontologies need to be shared and reused among users. Specifically, finding the desired ontology from an ontology repository will benefit users. In the past, most of the studies on retrieving and ranking ontologies have mainly focused on lexical level supports. In those cases, it is impossible to find an ontology that includes concepts that users want to use at the semantic level. Most ontology libraries and ontology search engines have not provided semantic matching capability. Retrieving an ontology that users want to use requires a new ontology selection and ranking mechanism based on semantic similarity matching. We propose an ontology selection and ranking model consisting of selection criteria and metrics which are enhanced in semantic matching capabilities. The model we propose presents two novel features different from the previous research models. First, it enhances the ontology selection and ranking method practically and effectively by enabling semantic matching of taxonomy or relational linkage between concepts. Second, it identifies what measures should be used to rank ontologies in the given context and what weight should be assigned to each selection measure.

• The Journal of Industrial Distribution & Business
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• v.8 no.5
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• pp.77-85
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• 2017

Purpose - The purpose of this study is to investigate the variables that lead consumers to visit traditional markets and buy market goods. Thus, the current research examined the relationship between satisfaction and return intention as among the factors influencing loyalty. Research design, data, and methodology - This study was conducted to examine the effects of the perceived level of factors on loyalty and how it influenced consumers' visits to traditional markets in 125 adult adolescents and women living in Mok-po area. The results of the questionnaire were obtained. The statistical data of the questionnaire were verified by SPSS. Results - In this study, consumers' perception level of eight loyalty factors can be perceived by the traditional Korean market. The empirical analysis is summarized as follows. First, by selecting five representative variables influencing intention to return to traditional markets, Mok-po area consumers were affected by the intention to revisit according to the intensity of recognition level among these variables. Second, the higher the perceived level of product price, quality of access (accessibility) among the factors that consumers perceive as important factors in visiting traditional markets were heightened. Third, Mokpo residents are aware of the main important factors of visiting the market such as receiving a friendly atmosphere (image) about traditional market, market environment (hygiene and cleanliness), connection with the local economy, and customer service such as kindness, refund and return. These loyalty factors did not affect consumers' intention to revisit. In other words, image, environment, regional economic linkage, and these factors did not have a positive effect on revisit intention. Conclusions - The empirical analysis of this study suggests that factors that directly affect loyalty among the key factors that play a major role in visiting traditional markets should be identified and developed as loyalty factors. It is necessary to identify the key factors influencing the satisfaction and loyalty of traditional market users, and operate a system that systematically and comprehensively manages and evaluates them. In order to do this, the government, the local governments, and related organizations should regularly conduct loyalty and satisfaction surveys on visa recognition levels and establish strategies for dramatic improvement measures.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.367-376
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• 2020

According to recent statistics on new consumer market trends, 'alone consumption' is at the center. This study focuses on the social big data that attracts the public's opinions in that it is important for a certain social trend to comprehensively understand the various fields such as society, locality, culture, marketing, economics, and psychology that form the background for it. Therefore, we set up the linkage of 'solo consumption' and conducted research on new consumer market trends using Opinion Analisys. As a result of this trend analysis, representative keywords such as 'honbab', 'honsul' and 'honyoeng' were derived and analyzed the trend of new consumer market using this data. Alone consumption is an inevitable new consumption trend caused by demographic change after the global economic crisis. The importance as a trend reflecting this will be further strengthened. Trend analysis by social big data will help scientific and systematic business distribution strategies and planning to help make new and valuable decisions and decisions about new consumer markets.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.95-103
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• 2008

Spatial information is essential for administrative affairs. So many Administrative Information System(AIS)s and Geographic Information System(GIS)s have been implemented at local government to support administrative affairs. AIS deals with document based information, and is not designed to use map information. Also, various information is not matched, because address systems for AIS and coordinate system for GIS are different. Therefore, existing AIS and GIS are not suitable for linking administrative affairs and spatial information. This paper deals with the enterprise architecture for local government to support the linkage of administrative affairs and spatial information. Enterprise architecture in this paper is composed of business architecture, data architecture, application architecture, and technical architecture. Each architecture is designed up to planner's and owner's level. Detail structures of each architecture follow the practical guidance for applying e-government enterprise architecture in Korea. Business and data architecture are applied to transportation administrative affairs.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.83-105
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• 2015

Taxi, one of the passenger services, is an essential transportation system in our society. In spite of the importance of taxi service, deterioration of the service quality is continuously reported. In particular, taxi service failures due to traffic accidents have emerged as the most serious social problem which may incur a considerable amount of social costs. In this study, we focus on analyzing the causes of service quality deterioration-traffic accidents of both corporately owned and privately owned taxies in Seoul. The research objective is to find out the determinants of service quality deterioration of Taxi industry and to suggest policies for improving the taxi service in Seoul. We collected the archival data from KTSA (Korea Transportation Safety Authority) and ODP (Open Data Portal), which span from 2005 to 2014. Hierarchical regression analyses and a set of mediation tests are conducted. The root factors inducing traffic accidents of taxies are divided into competitive, and profitability factors. The statistical results indicate that the accident ratio per taxi is not only affected by competitive/profitability factors such as number of active taxi drivers, number of bus passengers, and taxi fare, but also mediated by the traffic violation ratio. To alleviate the current problems with taxi service in Seoul, we conclude that the number of taxies be reduced and the taxi fare be increased. Finally, we suggest several policies to improve the endemic taxi industry problems, over-supply and the low profitability by enhancing the linkage between service quality and profitability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2609-2614
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• 2015

National research and development projects institutions have implemented various measures in order to prevent R&D expenses abuse and negate enforcement. but it reveals a limit to prevent abuse of R&D expenses[1,2]. In this paper, to prevent abuses resulting from the R & D for the unusual trading post caught collecting information from the R & D phase implementation plan to detect unusual transactions. The results are subjective and research institutions, and specialized agencies to take advantage of shared, real-time cross-linkage between the credit card companies. Studies of data quality diagnostic techniques developed for this purpose related regulations and manuals, Q & A, FAQ, Outside-in business rules that derive from a variety of information, such as personnel interviews (Outside-In) was used for analysis.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.159-166
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• 2010

It is noteworthy that EIS Consulting Method by ISP based on ERP Linkage Type for Large Scale Enterprise Associate Company. In this thesis, IT Strategy plan and methodology are suggested in order to solve the several problems including standardization on implementation of EIS Introduction and operation between large-small enterprise. Integration of business and information technical is made by Business management group's continuous IT concern and future information strategy. Also this paper proposes ISP Planning method (environment analysis, present analysis, IT analysis, target IT plan etc..), EIS Construction (based ERP Real data/time). In addition to, we suggest to use electron industry model and LCD/LED field in this system.