• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.115-130
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• 1999

The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

• Korean System Dynamics Review
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• v.11 no.1
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• pp.5-26
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• 2010

To revitalize the trucking market, many studies are being done but it still has a lot of problems such as imbalance between supply and demand, poor profit structure of truck owners, ect. Therefore, it aims to study what kinds of prerequisite are needed to solve these problems through analyzing system structure and mechanism of the market. To achieve it, System Dynamics methodology, appropriate to make a simulation model and analyze dynamics of the system, is utilized. To obtain an empirical research point of view, time series data related on trucking market-provided by The Korea Transport Institute-are used. In addition, interview with a local representative logistics company and a ICD(Inland Container Depot) operation company is performed to find out technical and functional supporting factors to solve the existing problems in the market.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10B
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• pp.929-935
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• 2006

When the Internet phone service, generally PC-to-Phone, first entered into the telecommunications service market, no regulatory issues were arisen to manage the service within the regulatory framework because of it's low quality, no phone number assignment and etc. However, almost the same quality, more applications and cheaper price compared with the fixed telecommunications service, have changed the regulator's policy allowing Internet phone service within market mechanism. While incumbent fixed telecommunications service enterprises had given with tremendous duties to continue the job categorized 'facilities-based telecommunication service provider', and which can be unreasonable and unfair if Internet phone service enterprises are allowed to enter into the fixed telecommunications market without any regulation. Thus, new regulatory framework has worked for the Internet phone service named the VoIP service generally in the fixed telecommunications market. Recently, VoIP is provided not only in the fixed telecommunications market but also in the mobile market as Wi-Fi phone is feasible in the wireless LAN environment. Furthermore, bundled service of Wi-Fi and cellular phone service will be launched soon, and the next version will be the mobile VoIP service operating like a cellular phone service. Hence, we will meet similar situation when the VoIP sewice enters into the fixed telecommunications service market. And, in this paper, we prospect the regulatory issues arising when the wireless or mobile VoIP service enterprises enter the mobile market, by analyzing possible scenarios.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.155-166
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• 2018

These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.4
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• pp.428-433
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• 2003

In this study. we empirically compared and investigated the impacts and effects of M&A between the merging firms and the merged firms during the period from 1990 to 1997 which the developed countries' market principles were adopted and more autonomous and competitive M&A market were activated. For this purpose, this paper has set hypothesis and tested by analyzing those AAR, and CARs employing both market model and market adjusted model. The empirical results revealed in this research show that the CAR is more positive for merged firms than merging firms which are contrast with results of previous studies researched in 1980s.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.9
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• pp.542-549
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• 2003

In this paper, a novel approach to generator maintenance scheduling strategy in competitive electricity markets based on non-cooperative dynamic game theory is presented. The main contribution of this study can be considered to develop a game-theoretic framework for analyzing strategic behaviors of generating companies (Gencos) from the standpoints of the generator maintenance-scheduling problem (GMP) game. To obtain the equilibrium solution for the GMP game, the GMP problem is formulated as a dynamic non-cooperative game with complete information. In the proposed game, the players correspond to the profit-maximizing individual Gencos, and the payoff of each player is defined as the profits from the energy market. The optimal maintenance schedule is defined by subgame perfect equilibrium of the game. Numerical results for two-Genco system by both proposed method and conventional one are used to demonstrate that 1) the proposed framework can be successfully applied in analyzing the strategic behaviors of each Genco in changed markets and 2) both methods show considerably different results in terms of market stability or system reliability. The result indicates that generator maintenance scheduling strategy is one of the crucial strategic decision-makings whereby Gencos can maximize their profits in a competitive market environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.109-123
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• 2024

The purpose of this study is to identify strategic insights for cyber universities to secure a competitive advantage based on market analysis grounded in customer needs and motivations. As a research method, we surveyed and analyzed college students using conjoint analysis, identified the importance of cyber university components, estimated the utility of each detailed level, and identified the configuration of cyber universities most preferred by potential customers. In the study results, the importance of attributes that appeared by analyzing all respondents was in the order of 'expected ourcoms after graduation', 'department characteristic', 'cyber university name', and 'learning management style'. Cluster analysis was performed, divided into two groups, and conjoint analysis was performed. For Cluster 1, the importance values of the components were 'expected outcomes after graduation,' 'learning management style,' 'cyber university name,' and 'department characteristics,' in that order. For Cluster 2, the importance values were 'expected outcomes after graduation,' 'department characteristics,' 'cyber university name,' and 'learning management style,' in that order. As an application of the research, As an application of the study, it is suggested that analyzing the preferences of potential customers in the entire group is not accurate; therefore, segmenting the groups for analysis and strategy formulation can be useful.

• Fashion & Textile Research Journal
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• v.12 no.6
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• pp.736-744
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• 2010

Alliances, collaborations and partnerships are essential practices in today's business. The purpose of this study was to understand the trends in retail alliances by analyzing the patterns of alliances in the Korean retail market. Retail alliance cases were collected from the published news article database in a major internet portal. A total of 1,061 retail alliance cases for the first decade of the 2000s were categorized into the alliances: 1) within the same retail format and 2) across different formats within the retail industry; and 3) with service industries and 4) with manufacturing industries outside the retail industry. The study described the patterns on the characteristics of participating retailers and partners, industries involved, and alliance types for each of the four categories.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.272-284
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• 2009

In this paper, we proposed the methodology for analyzing online customer reviews by using text mining technologies. We introduced marketing segmentation into the methodology because it would be efficient and effective to analyze the online customers by grouping them into similar online customers that might include similar opinions and experiences of the customers. That is, the methodology uses categorization and information extraction functions among text mining technologies, matched up with the concept of market segmentation. In particular, the methodology also uses cross-tabulations analysis function which is a kind of traditional statistics analysis functions to derive rigorous results of the analysis. In order to confirm the validity of the methodology, we actually analyzed online customer reviews related with tourism by using the methodology.

• Korean Journal of Community Nutrition
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• v.27 no.6
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• pp.480-491
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• 2022

Objectives: This study examined the problems encountered when analyzing the market size, purchase, and consumption of HMR (home meal replacements) in the Republic of Korea. Methods: The macro data relevant to the market size and purchase status of HMR were critically summarized. The micro data retrieved from the 2019 & 2020 Korea National Health and Nutrition Examination Survey (KNHANES) were analyzed to understand the consumption of HMR. Results: The Korea Agro-Fisheries & Food Trade Corporation and the Ministry of Food and Drug Administration reported the market size of HMR, whereas the Korean Rural Economic Institute and the Rural Development Administration reported the purchase expense and frequencies of HMR. Since the values on the market size and purchase status were calculated or surveyed using different scopes of HMR, there have been reliability issues for the data presented. Additionally, lack of consensus on the use of Korean terms corresponding to HMR was found to be a problem. To examine the consumption of HMR, analysis of the food intake data from KNHANES presented results with very low validity due to the inappropriate survey and coding scheme not reflecting the inclusion of new food types. Conclusions: Several problematic discrepancies were encountered in the statistics on HMR. The fundamental cause of these problems was the absence of agreement on the scope of HMR and the Korean terms corresponding to it. Considering the increasing importance of HMR in Korean diets, urgent cooperative efforts are required between the government and academia to derive an agreed Korean term and establish the scope of HMR.