• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.15-20
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• 2020

Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

• Human Ecology Research
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• v.51 no.4
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• pp.455-472
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• 2013

This paper's aim is to explore how China's country image affects the product evaluations and purchase intentions through three major hypothesize. Four hundred eighty-nine Korean adult consumers, who have the purchase experiences of goods made in China before, were invited to take part in this investigation. Data analyses were conducted by reliability test, confirmatory factor analysis and structural equation modeling with SPSS ver. 19.0 and AMOS ver. 18.0. This study focused on multi-dimensional country image and found that China's country image contains 5 elements (people, evolution, politic, economic and culture). Empirical verification through structural equation modeling indicates that the data offer substantial supports, such that China's country image represents the predominant influence on product evaluations and people, evolution, and politic image showed positive effects. Also, China's country image has a positive influence on the product purchase intentions directly (culture image) and indirectly (people, politics, and evolution image) through the product evaluations. Practical implications of findings will be discussed and suggested as follows. First, this study complements the lack of researches on China among the studies regarding country image. Secondly, research results would help us to understand the perception on China's country image of Korean consumers' and to seek the criteria by which consumers evaluate goods made in China. Finally, this research can help Chinese companies to make market strategies effectively when they entering Korean market by exploring the factors which have strong influences on Korean consumers' purchase behaviors.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.91-99
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• 2022

The shipping industry is a service industry that operates its business by transporting cargo on ships and receiving freight. Therefore, large-scale capital investment is required for ship operation, and if the value of the ship is uncertain, the risk of shipping management increases. This study aims to identify the factors affecting changes in ship value and to analyze the importance of each variable. To achieve the goal, the factors affecting changes in ship value were identified and structured using the techniques of text mining and topic modeling, and classified into three main factors and 12 sub-factors. This study used AHP analysis to examine the relative importance of each factor. Results indicated that the main factor influencing the change in the vessel value was the shipping factor, followed by the investment factor and the environment factor. Other auxiliary factors that substantially affect the ship value include the volatility of the shipping market and of shipping freight.

• Journal of Fashion Business
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• v.27 no.5
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• pp.60-77
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• 2023

The scale of the industry utilizing the Metaverse platform is gradually growing around the world. Fashion brands are also starting to utilize the Metaverse platform as a new market to replace the next e-commerce platform by targeting new consumers, MZ generation, and even Alpha generation. In this study, a real K-fashion designer's outfit was made into a 3D outfit using CLO 3D program to express it in a new market, the Metaverse 3D platform. It was then compared with a real outfit. An avatar prototype was completed using Max program to simulate the 3D digital fashion outfit and produce an avatar through an optimization process. The 3D outfits showed the same level of results as the actual outfits in terms of fabric surface, material texture, drapability, overall outfit, details, and trimmings. In addition, we proposed a 2D work on total styling suggestion and modeling to secure data sets for future AI-based styling services. In conclusion, this study revealed that actual outfits and 3D outfits had the same results. It is significant that it can be a sample work to build a styling data set through styling suggestion and content production as a significant amount of styling DB construction will be required before AI styling automation services.

• Korean Business Review
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• v.19 no.2
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• pp.183-206
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• 2006

Recently, the notion of "increasing returns" has been popular not only in academia but also in industries. This notion has been drawn from prior research on network effects, which showed that the market evolution would lock in to a dominant technology. However, the long history of technological change has rarely shown the possibility of lock-in to an inferior technology. How could the market with network effects make transition between incompatible technologies regimes by escaping the lock-in? This paper analyzes the effectiveness of R&D and technological choice to investigate the sources of the dynamic capabilities in the presence of network effects and uncertain technological progress. Why does the market sometimes work against a radical technology, and why, at other times, does the market operate in favor of it? This study is to address this question by modeling the situation of two competing technologies in the presence of network effects. The numerical analysis indicates that the evolution strategy of compatibility is more likely to increase the chance of firm growth when a majority of customers are not power users or when demand for an old technology has been escalated. But when there are a substantial number of power users or when a new technology emerges before such an escalation of demand, the revolution strategy of compelling performance is more likely to be effective. The result suggests a potential mechanism for overcoming the lock-in problem. When the market exhibits some inertia to an obsolete technology, which is reinforced by the increasing customer value with respect to backward compatibility, the survival of a new technology depends on power users. When many power users are cultivated by firms' technological efforts regarding the new technology, the market is less likely to lock into an obsolete technology. Indeed, in the workstation market, where power users characterize much of the demand, innovators like Sun successfully switched to the RISC architecture.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.169-184
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• 2016

Smartphone use is rapidly spreading due to the advantage of being able to connect to the Internet anytime, anywhere--and mobile app development is developing accordingly. The characteristic of the mobile app market is the ability to launch one's app into foreign markets with ease as long as the platform is the same. However, a large amount of prior research asserts that consumers behave differently depending on their culture and, from this perspective, various studies comparing the differences between consumer behaviors in different countries exist. Accordingly, this research, which uses online product reviews (OPRs) in order to analyze the cultural differences in consumer behavior comparatively by nationality, proposes to compare the U.S. and South Korea by selecting ten apps which were released in both countries in order to perform a sentimental analysis on the basis of star ratings and, based on those ratings, to interpret the sentiments in reviews. This research was carried out to determine whether, on the basis of ratings analysis, analysis of review contents for sentiment differences, analysis of LDA topic modeling, and co-occurrence analysis, actual differences in online reviews in South Korea and the U.S. exist due to cultural differences. The results confirm that the sentiments of reviews for both countries appear to be more negative than those of star ratings. Furthermore, while no great differences in high-raking review topics between the U.S. and South Korea were revealed through topic modeling and co-occurrence analyses, numerous differences in sentiment appeared-confirming that Koreans evaluated the mobile apps' specialized functions, while Americans evaluated the mobile apps in their entirety. This research reveals that differences in sentiments regarding mobile app reviews due to cultural differences between Koreans and Americans can be seen through sentiment analysis and topic modeling, and, through co-occurrence analysis, that they were able to examine trends in review-writing for each country.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.761-770
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• 2001

As software industry is rapidly evolving, IT business enterprises have been meeting with cutthroat competition in developing software. As software reusability, time to market, and maintainability are considered as a competitive edge, software component techniques have lately attracted considerable attention. Currently, although there are some supporting tools for developing software components, they do not have tight connections among component developing processes such as component identification, component modeling, detailed design, code generation, deployment, and testing. And it is restrictive for users to construct various scales of components on component platform architecture. In this paper, we provide an implementation and a design of a supporting tool for constructing platform-independent software components, which covers all development lifecycles of components. In the phase of component modeling, platform independent, conceptual components are identified from domain model information in the view of system partitioning. Detailed design and implementation of a component are performed on the J2EE platform architecture. And the changes on the design model and source codes are consistently managed by using round-trip techniques.

• Smart Media Journal
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• v.12 no.6
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• pp.27-34
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• 2023

As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.11
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• pp.1064-1076
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• 2012

This study is an attempt to identify factors determining the success of international standardization and understand the relationship between the factors, such as government-driven standardization activities. Six factors were identified through factor analysis; namely, 'Direct government support', 'Indirect government support', 'Utilization of standardization bodies', 'Standardization strategy', 'Attainment of a dominant market power', and 'Adoption as an international standard.' The results showed that firstly, support from the government, whether direct or indirect, had no direct effect on the outcome of international standardization efforts, but produced an indirect influence on it through mediating factors such as the attainment of a dominant market power. Secondly, the attainment of a dominant market power proved to be the most important success factor of international standardization, suggesting that the government must direct its efforts to help boost the market power of target standards through measures like promoting a timely market entry and the development of high-quality standards, in a manner to induce market satisfaction, increasing lock-in effects and building a quasi-vertical integration system. Thirdly, direct support from the government holds the key to the success of international standardization with de jure standardization bodies, while the strategic use of standardization bodies appears the most important for the positive outcome of standardization concerning de facto standardization bodies.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.351-367
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• 2011

Few previous researches have been studied in terms of franchisees' perceptions of franchisors' entrepreneurial activities within the boundary of restaurant franchising industry settings. The sampling frame for this study included 605 restaurant franchisees in the business-format franchising system in Korea and data were collected from 1 October 2009 to 28 February 2010. This study, from franchisees' views, investigated the relationship among franchisors' entrepreneurship, external environment, organizational structure(mechanistic-organic) and managerial performance, with structural equation modeling(SEM). The research findings were, firstly, external environment positively affected entrepreneurship which positively affected market orientation and managerial performance, and secondly, market orientation made franchisors select organic structure and heighten managerial performance. Also, external environment led franchisors to adopt organic structure and aggravated their managerial performance. The implications of these findings were as follows. Firstly, the more franchiors had initiatives, innovatedness and risk-taking attitudes, the higher they had managerial performances and market orientation. Secondly, franchisors should keep and heighten market share with keeping in mind with customer orientation, competition orientation, harmony between departments, long-term orientation and profitability. Thirdly, continuous and cautious environmental scanning was necessary because external restaurant environment made organizational structure being changed and managerial performance being aggravated.