• Journal of the Korea Convergence Society
• /
• v.13 no.4
• /
• pp.63-70
• /
• 2022

Due to the recent changes in the education market and Corona, Consumers have moved to the tutoring and online learning markets, and the large-scale education service franchise business is reorganized into a small-scale franchise, a business model that maximizes the profit structure from a position where sales are important. Recently, a new learning balance model that can provide individualized services from teacher-centered to student-centered, motivate students is required. In this paper, we propose a new mathematical franchise model (K-MODEL) that can improve a company's profit structure while satisfying the recent education trends and consumer needs from the point of view of the franchise. K-MODEL expects franchisor and franchisees to have a stable profit structure by developing differentiated content and services, learning and operating processes, and various programs to improve learning achievement.

• Journal of Convergence for Information Technology
• /
• v.12 no.3
• /
• pp.116-125
• /
• 2022

The purpose of this study is to analyze whether investor anxiety caused by COVID-19 affects cryptocurrency prices in the COVID-19 pandemic, and to experiment with cryptocurrency price prediction based on a deep learning model. Investor anxiety is calculated by combining Naver's Corona search index and Corona confirmed information, analyzing Granger causality with cryptocurrency prices, and predicting cryptocurrency prices using deep learning models. The experimental results are as follows. First, CCI indicators showed significant Granger causality in the returns of Bitcoin, Ethereum, and Lightcoin. Second, LSTM with CCI as an input variable showed high predictive performance. Third, Bitcoin's price prediction performance was the highest in comparison between cryptocurrencies. This study is of academic significance in that it is the first attempt to analyze the relationship between Naver's Corona search information and cryptocurrency prices in the Corona phase. In future studies, extended studies into various deep learning models are needed to increase price prediction accuracy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.17 no.1
• /
• pp.53-58
• /
• 2024

This study is about the technology convergence analysis of e-commerce related patents containing Artificial Intelligence applied for in Korea. The relationships between core technologies were analyzed and visualized using social network analysis. As a result of social network analysis, the core IPC codes that make up the mutual technology network in e-commerce related patents containing Artificial Intelligence were found to be G06Q, G06F, G06N, G16H, G10L, H04N, G06T, and A61B. In particular, it can be confirmed that there is an important convergence of data processing-related technologies such as [G06Q-G06F], [G06Q-G06N], and voice and image signals such as [G06Q-G10L], [G06Q-H04N], and [G06Q-G06T]. Using this research method, it is possible to identify future technology trends in e-commerce related patents and create new Business Models.

• Smart Media Journal
• /
• v.13 no.2
• /
• pp.95-107
• /
• 2024

The development of environmentally friendly products and services has become a trend, and the development and utilization of eco-friendly textiles with economic value is gaining attention as a new business model. Analyzing and identifying trends and developments in eco-friendly textiles can provide important information and insights for various stakeholders such as companies, governments, and consumers to help them achieve sustainable growth. For this study, we collected and analyzed data from newspaper articles mainly covering the textile and fashion sector from 2000 to June 2023. A total of 12,331 articles containing the keyword 'eco-friendly textiles' were collected, and after performing morphological analysis on the extracted data, Latent Dirichlet Allocation and Dynamic Topic Modeling analysis were performed to identify topics by year. The results of the study are expected to provide strategic guidance and insights for the sustainable development of the textile industry, thereby helping to promote the research, development, and commercialization of eco-friendly textiles.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.1
• /
• pp.55-69
• /
• 2021

For the national economic development, the participation of women in the social and economic activities is crucial. The popularization of start-ups, digital transformation, and WEconomy trends have lowered the barriers to opportunities for women to start a business and provide an environment in which women can grow faster. This paper examines the significance and process of success of women entrepreneurs and the characteristics of innovation strategies and achievements by linking the recently changing business environment of a company, factors influencing the success of women entrepreneurship, and innovation activities. To this end, four companies' cases were analyzed in the fields of distribution/service and consumer products/services, which are areas of large investment among female startups. The result shows that women entrepreneurs recognize the meaning of success as creating and continuing to create a 'corporate value through establishing a trust relationship with customers' within the 'balance between personal life and work.' In terms of the business ecosystem, women entrepreneurs strive for 'business activities based on the win-win growth of consumers, producers and sellers' for success, and rather 'focus on the process with a problem-solving approach' rather than achieving performance-oriented goals. Also through excellent power of observation, flexibility, and execution power, women entrepreneurs conduct business by adapting to changing trends. In terms of innovation activities, the innovation strategy of women-led companies puts priority on 'creating the value customers want' and focuses on innovation in the 'customer-centric business model' rather than technological innovation. As such, women-led companies show several differentiated characteristics, which enable them to create corporate value and achieve sustainable growth. The barriers to challenges and opportunities for women to start a business have been lowered, and an ecosystem has been created for female startups to grow. But why are there still so few women entrepreneurs, and the answer to where we need to close these gaps is ultimately a close analysis and investigation of the field. We must present milestones for growth steps through the accumulation of case studies of women startups that have exited. In addition, women can stand as economic agents only when the policy targets are subdivided and specific approaches to child-rearing and childcare for women entrepreneurs must be taken. This paper expects to serve as basic data for follow-up studies and become the basis of research for women entrepreneurs to grow as economic agents.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.8 no.2
• /
• pp.11-19
• /
• 2013

Many companies are developing a numerous number of new products and business models for their sustainable growth. First, their unique technological capability needs to be obtained to develop new products and services. However, as the applicable period of a technology into its industrialization becomes shorter and shorter, the necessity of technological convergence is increasing. Therefore, this study aims to look at the patent status in Korea for the last ten years to analyze in which direction technological convergence had advanced and further compare the patent status in Korea with that in U.S., Europe, and Japan. In addition, this study looks at the impact of converged patent technology on the sales in relevant industries. To this end, this study collected 5,000 patents applied from 2000 to 2009 for the last ten years in Korea, U.S., and Europe every year and conducted network analysis by using UCINET, social network analysis program. In this study, we drew our research findings as follows: First, we could find that technological convergence increased over time and what technology was in the center of fusion. Second, our correlation analysis found that as we had more technological convergence, it was more related to the sales in relevant industries.

• The Journal of the Korea Contents Association
• /
• v.15 no.5
• /
• pp.570-581
• /
• 2015

In recent years, many institutions predict that cloud services and big data will be popular IT trends in the near future. A number of leading IT vendors are focusing on practical solutions and services for cloud and big data. In addition, cloud has the advantage of unrestricted in selecting resources for business model based on a variety of internet-based technologies which is the reason that provisioning and virtualization technologies for active resource expansion has been attracting attention as a leading technology above all the other technologies. Big data took data prediction model to another level by providing the base for the analysis of unstructured data that could not have been analyzed in the past. Since what cloud services and big data have in common is the services and analysis based on mass amount of data, efficient operation and designing of mass data has become a critical issue from the early stage of development. Thus, in this paper, I would like to establish data processing architecture based on technological requirements of mass data for cloud and big data services. Particularly, I would like to introduce requirements that must be met in order for distributed file system to engage in cloud computing, and efficient compression technology requirements of mass data for big data and cloud computing in terms of cost-saving, as well as technological requirements of open-source-based system such as Hadoop eco system distributed file system and memory database that are available in cloud computing.

• The Journal of Bigdata
• /
• v.5 no.2
• /
• pp.121-133
• /
• 2020

This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region's specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an 'AI City'. Busan's plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan's future food source.

• Information Systems Review
• /
• v.21 no.2
• /
• pp.1-27
• /
• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.

• Journal of Fashion Business
• /
• v.3 no.4
• /
• pp.147-160
• /
• 1999

This paper is intended to compare and analyze the fashion trends that were introduced in the recent shows, held abroad and in Korea, so as to investigate how well the designers in Taegu and Kyungbuk (TK) area are keeping up with the international vogue. The research has done, analyzing Pret-a-Porter in Paris and the three events held in the TK area in 1997 -The Taegu Collection, Kyungbuk Fashion Festival and Textile & Apparel Fair and using reference pictures and documentary records. In order to investigate the trends the research is divided by four groups which are the silhouette, the detail, the color and the Fashion image and has done with the help of three postgraduate students. The results are as follows. 1. The Silhouette The slim-line has the greatest importance in the silhouette analysis of the recent collections. Like Elongated and Fit & Flare, tight-fitting and female-line were also appeared quite a lot. Compared with foreign collection, Korean collections put the bigger importance on the slim-line. 2. The Detail The printings, using paintings and plant-logos had the large portion of the accessories in both foreign and Korean collections. Draw string and wrap style were also presented a lot. Especially, at the Korean collections, layerd, corsage, and craft accent were emphasized, too. As for the necklines the similarity was found over the four events considering. Camisole neckline and halter neck were presented the most, and bared top, Vneckline, boat and low-neck which can highlight the feminity were often appeared as well. Considering collars, tailored and peaked collars which are frequently used for the jackets, were usually shown at the collections. Like convertable, shirts, wing and Italian collar, the collars that can be applied for the sports wears were presented a lot. Virtually no variation of design was found in the sleeve analysis. While set-in-sleeve and sleeveless were found commonly, not so many ornaments were added to the sleeves. The ankle and knee length for the pants and skirts were common. Furthermore, including the micro-mini, showing extremely feminine style the mini-style had the 20% portion of the skirt-length. Unbalanced lengths, using bias-cut were presented quite a lot on the runways. Deep slit skirts, wide pants and irregular hem skirts were in vogue. On the runways of Paris, more than 21% of the design was the burmuda pants. 3. The Color Red and Blue were in vogue in the four collections considering. Sometimes, yellowish was combined in Korean collections. Black and pale tone were appeared to be in fashion also with light grayish, moderate and deep tone. 4. The Fashion image As for the fashion image, feminine-decorative trend amounted to the large percentage in korean collections. At the foreign collection feminine-decorative trend and feminine trend were predominant, then mannish trend and simple trend were apeared equally. The research shows that TK area and foreign collections are fairy similar, which means that the designers in TK area have been making their efforts to satisfy the clients who have the international minds. However, compared with foreign collections, TK collections were apprered to be strongly inclined to only a few trends. Consequently the season trends are not as diverse as the foreign trends, which cannot satisfy the fashion taste of the clients in TK area. The local designers should know the tendency and the taste of the clients and make the more efforts to read local clients' mind.