• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.115-123
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• 2015

As LTE service and smartphone are emerging as the mainstream of mobile communications market, the value and importance of mobile data service has been further increased. MNO(mobile network operator)s already recognized the data service as essential market needs, and have appealed to consumers based on various satisfaction elements of data service such as faster transmission speed, expended data volume provided as default, and introduction of unlimited plan. So, in the smartphone market where has been mature, investigating what service attributes affect users' selection of data service is very meaningful from the perspectives of both the industry and the academic. Under this background, this study explores determinants influencing consumer's choice for mobile data service and analyzes relative importance of the attributes among different type of users. The findings of this study makes us extend our understanding of consumer characteristics and their service needs in data service centric era, and it provides some implications for establishing telecommunications policies and business strategies.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.288-315
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• 2004

This paper has examined the leapfrogging thesis with the case of catch-up in digital TV by the Korean firms. Despite the disadvantages implied by the technological regime of digital TV and the risks facing early entrants in trajectory choice and initial market formation, the Korean firms had achieved a 'path-creating catch-up' in the sense they chose a different path from the Japanese forerunning firms. As they have been closely watching the technological trends and the standard setting process, there was less risk of choosing the right or wrong technological trajectory. Also, despite the lack of sufficient capability and core knowledge base, the Korean firms had some complementary asset, such as the experience of producing analogue TV, and were able to develop the prototype digital TV and the ASIC chips, given the accesses to the foreign knowledge via overseas R&D posts and acquisition of a foreign company. To secure the initial market size, the Korean targeted the US market from the beginning, and their sources for competitive advantages were the speedy setting up the production system for mass production of products at the initial stage. The initial failure of the Japanese firms and the success of the Korean firms do suggest that the period of paradigm shift, like this toward digital technology, can serve as a window of opportunity for late-comers while penalizing the forerunner.

• International Commerce and Information Review
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• v.15 no.2
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• pp.49-69
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• 2013

It is important for Korean corporations enter the market of Africa, a repository of varied mineral resources including petroleum gas, in terms of resource securement, preoccupancy of emerging market, and expansion of diplomatic influence. Taking account of strategic value of Africa, the African market has an infinite potential for Korea who has insufficient resources, so it is very important to set proper market penetration strategies and to accurately evaluate their performances. This study is to analyze the performance of Korean corporations' market entry to Africa through casual relationship analysis between characteristics of Korean corporations' export environments, market entry strategies to Africa, and their performances. According to the result of analysis, market entry period, corporate management, and marketing strategy among strategic factors for foreign market entry positively influence on corporations' performances. Therefore, Korean corporations need strategies of centralization, segmentation, and marketing to improve their business performances.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.7-15
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• 2022

Recently, due to the development of AI and big data technologies following the advent of the era of the 4th Industrial Revolution, the emerging metaverse industry is emerging as a new business, and in particular, from this point of view, this paper analyzes the history of metaverse and the pros and cons of "Geppetto", which is the most popular in the Korean metaverse market, and aims to give an appropriate direction for future development based on this. In order to carry out this study, we first used SWOT analysis techniques as an initial enterprise analysis method to examine the strengths and weaknesses, opportunities and threat requirements, and derive the status of each factor. Based on the factors in each of the subsequent derivatives, we wanted to explore the TOWS development strategy and present significant implications based on this.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.56-74
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• 2010

The overseas expansion of global logistics company (GLC) is increasing rapidly under the influence of international specialization of manufacturing, and the necessity of global logistics service is increasing, and then the logistics market is growing year to year. The purposes of this study are to investigate the growing factors and strategies making global logistics company and to suggest the best strategies for overseas expansion of domestic logistics company (DLC) by using imitation strategy. The major results are as follows ; Firstly, DLC has to imitate liner shipping company or terminal operator which has competitiveness rather than other part of logistics. Secondly, DLC has to build up competition through investigation the global logistics companies which have globalization, specialization, monopolization and public elements. Thirdly, DLC has to use 'coming from behind strategy' for the exiting market, the 'pioneer importer strategy' for the new emerging market or niche. Lastly, DLC has to make a road map or process for expanding the logistics service area without collision exiting business models.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.377-396
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• 2023

As the cryptocurrency market continues to grow, it has developed into a new financial market. The need for investment strategy research on the cryptocurrency market is also emerging. This study aims to conduct an empirical analysis on an investment methodology of cryptocurrency that combines short-term trading strategy and deep learning. Daily price data of the Ethereum was collected through the API of Upbit, the Korean cryptocurrency exchange. The investment performance of the experimental model was analyzed by finding the optimal parameters based on past data. The experimental model is a volatility breakout strategy(VBS), a Long Short Term Memory(LSTM) model, moving average cross strategy and a combined model. VBS is a short-term trading strategy that buys when volatility rises significantly on a daily basis and sells at the closing price of the day. LSTM is suitable for time series data among deep learning models, and the predicted closing price obtained through the prediction model was applied to the simple trading rule. The moving average cross strategy determines whether to buy or sell when the moving average crosses. The combined model is a trading rule made by using derived variables of the VBS and LSTM model using AND/OR for the buy conditions. The result shows that combined model is better investment performance than the single model. This study has academic significance in that it goes beyond simple deep learning-based cryptocurrency price prediction and improves investment performance by combining deep learning and short-term trading strategies, and has practical significance in that it shows the applicability in actual investment.

• International Journal of Costume and Fashion
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• v.18 no.2
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• pp.65-83
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• 2018

The purpose of this study was to explore the dynamics of the newly emerging designer fashion market and examine how startup designers reacted to the tension between creativity and business, and how they grew within such dynamics. In-depth interviews were conducted with 22 DFE entrepreneurs and 7 fashion industry experts. The grounded theory was used to analyze data and yield results. Korean new generation of DFEs, attracted by the growing online market opportunities are directly distributing through online channels, targeting the millennial consumers who are pursuing new values at new distribution channels. They show new growth pattern, start with a few key items in the middle and lower price segments, then upscale their design, quality, and price. This study further investigated designers' enterprise orientation shift, which was explored by Mills. Some creativity-oriented designers encountered difficulties in the orientation shift, while designers who demonstrated business characteristics from the startup stage restored the balance by trying to improve both creativity and business. This study discovered a new way for the designer to enter the growth stage. This growth approach is one of the success strategies applicable to designers launching a brand on online platforms in the global market.

• Safety and Health at Work
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• v.12 no.4
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• pp.452-461
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• 2021

Background: The prevailing global work scenario and deteriorating health facilities in economies indulge the risk perspective in the labor market model. This is the reason that the risk factor is cautiously attributed to wages and labor market efficiencies specifically in developing and emerging economies. In this respect, Occupational Injuries of Workers (OIW) is considered essential to demonstrate the risk and Occupational Health and Safety (OHS) setups given the constraints of the labor. Intuitively, the prime objective of this study is to make an assessment of the labor market considering the OIW through the indicators of industry division, employment status, occupational distribution, adopted treatment, gender and regionality. Methods: The assessment strategy of the study has been categorized into trend analysis and Index Value Calculation (IVC) segments employing the data from 2001 to 2018. Results: The pattern of the selected indicators of the OIW has been observed in the available data while the IVC estimations are considered through time and reference categories. The findings of both exercises revealed absolute and relative heterogeneities at both industry and occupational levels. Conclusion: The consistency for gender and regional distribution of both assessments points out the need for effective policy initiatives. The study suggests separate analyses of industry and occupations for a better understanding of the OHS setups and up-gradation in Pakistan.

• Journal of Korean Society for Quality Management
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• v.29 no.1
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• pp.160-172
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• 2001

The purpose of this study is to develop a successful strategy that can satisfy customer needs effectively based on the recognition of cognitive gaps toward the Internet shopping mall between managers and customers. Internet shopping mall becomes a main cyber space for future shopping, Despite some pessimistic view on the future of cyber shopping, the amount of purchase in Internet shopping has increased continuously and dramatically. In order to compare and analyze the cognitive difference between managers and customers, this study investigates the view of managers as Internet shopping mall operators as well as that of customers. Questionnaires and brief interviews were carried out to collect empirical data. Empirical results find the significant cognitive gap in the perception of importance of factors affecting shopping malls between managers and customers. After analysing the empirical data with statistical methods, this study finds that six of nine factors show significantly different views in perception of Internet shopping mall between managers and customers. The findings of this study can be employed to implement an Internet shopping mall strategy to better serve customer needs and requirements to gain competitive advantage in this emerging market with growing competition.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.1-10
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• 2021

This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, R_M, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.