• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.24-34
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• 2008

The study aims to anticipate evolution direction of mobile content business in the future, and derive successful strategies at the same time with multiple and composite analysis of evolution process and environmental change of mobile business. In conclusion, Firstly, it should strengthen customer approach performance, secondly, approaches with sensitively, and needs opened business model. Fourthly, it needs planning and production of contents which reflects the need of customers, and fifthly, it requires development of mobile platform leading contents group and multiplication of CP business model. In the aspect of industrial policy, sustainable and future-oriented policy should be arranged rather than short-term and simple police, for the continual development of mobile content industry. To establish healthy and active mobile contents industry, the government and regulatory institutes are more preferable to devote to the role of circumstance builder rather than the leader of mobile content market. In other words, they are recommended to focus on establishing basic regulation and order for smooth operation of the market and its management.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.197-207
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• 2018

SMEs manufacturing Factory, which are small-scale production systems of various types, mass-produce and sell products in order to meet customer needs. This means that the company has an excessive amount of material supply to reduce the loss due to lack of inventory and high inventory maintenance cost. And the products that fail to respond to the demand are piled up in the management warehouse, which is the reality that the storage cost is incurred. To overcome this problem, this paper uses ARIMA model, a time series analysis technique, to predict demand in terms of seasonal factors. In this way, demand forecasting model based on economic order quantity model was developed to prevent stock shortage risk. Simulation is carried out to evaluate the effectiveness of the development model and to demonstrate the effectiveness of the development model as applied to SMEs in the future.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.217-232
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• 2020

The purpose of this study is to organize prior research related to e-commerce activation factors available to stakeholders in the online distribution industry, and to conduct FGI with e-commerce experts to calculate the importance of each factor in order based on the 3 Level Service Model of Kwon Hyeog-in (2010), the key factors derived through the preceding study and the FGI were structured and the weighting of each factor was derived using AHP methodology. In the higher factors, the private sector (0.542) > communes (0.237) > public (0.2222) appeared to be important. Sub-factories included 'search service development' (0.0970)', 'recommendation service development (0.0805)', 'consumer needs analysis (0.0534)', 'consumer consumption pattern analysis (0.0505)' and 'other platform-linked service development (0.0450)', in the order of weighting down, indicating each of the factors within the top 15 priority. The results of this study will be utilized throughout the e-commerce industry as well as e-commerce enterprises, providing an academic foundation for the rapidly growing e-commerce ecosystem.

• Journal of Intelligence and Information Systems
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• v.12 no.2
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• pp.1-15
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• 2006

Currently the mobile web service is growing with a tremendous speed and mobile contents are spreading extensively. However, it is hard to search what the user wants because of some limitations of cellular phones. And the music is the most popular content, but many users experience frustrations to search their desired music. To solve these problems, this research proposes a hybrid recommendation system, MOBICORS-music (MOBIle COntents Recommender System for Music). Basically it follows the procedure of Collaborative Filtering (CF) system, but it uses Contents-Based (CB) data representation for neighborhood formation and recommendation of new music. Based on this data representation, MOBICORS-music solves the new item ramp-up problem and results better performance than existing CF systems. The procedure of MOBICORS-music is explained step by step with an illustrative example.

• Journal of Global Scholars of Marketing Science
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• v.4
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• pp.53-86
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• 1999

오늘날 기업간 M & A가 활발히 진행되면서 브랜드 자산가치에 대한 연구는 학계와 실무계에 있어 커다란 관심이 집중되면서 브랜드의 역할에 대해서 다양한 새로운 관점이 제시되고 있다. 브랜드 자산가치와 관련한 기존의 연구들은 주로 평가에 관한 것이 대부분이었으나 최근에 와서 브랜드 자산가치의 중요성이 부각됨으로써 브랜드 자산가치의 형성에 대한 영향요인의 연구가 활발히 이루어 지고 있다. 하지만 이틀 연구의 대부분은 제품 품질과 광고톨 중심으로 한 기업의 통제 변수인 마케팅믹스-4P(product, price, place, promotion)-에 연구의 초점을 맞추고 있다. 하지만, 오늘날 기술혁신에 힘입어 규모의 경제성이나 경험효과에 의한 비용 우위는 거의 기대될 수 없게 되었고, 품질에서도 기업간의 격차가 현저히 줄어들었다. 그러고 막대한 비용의 문제로 인하여 매스미디어등의 광고를 통한 브랜드 자산가치의 형성이 결코 쉬운 일이 아니다. 특히 오늘의 국내의 기업현실을 감안하면 더욱 어려운 실정이다. 따라서, 본 연구에서는 기존의 연구에서 다루지 않았던 고객만족 실현를 위한 핵심개념인 내부마케팅과 다양한 소비자 욕구에 있어 신속히 대응하는 브랜드 수의 증가를 브랜드 자산가치의 형성에 대한 새로운 영향요인으로 선정하여 마케팅믹스 요인과 더불어 이들의 영향성을 실증분석을 통하여 검증하였다. 본 연구의 결론을 이용하여 다음과 같은 브랜드 자산가치에 대한 마케팅에 있어서 전략적 시사점을 제안한다. 첫째, 브랜드 자산가치톨 형성 내지 강화하기 위해서는 내부마케팅 요인, 브랜드수의 증가요인, 마케팅믹스 요인중에서 어느 한 요인만으로 한계가 있기 때문에 3가지 요인을 동시에 활용하여 시너지 효과를 노려야할 것이다. 아울러 다양화, 세분화되어 가고 있는 소비자 니즈에 신속히 대용하기 위해서는 브랜드의 수의 증가를 통한 마케팅전략으로의 실천이 시의 적절한 방법중 하나라고 판단된다. 둘째, 기존의 많은 연구에서 알 수 있듯이 그동안 브랜드 자산가치의 구성요소에 대한 영향 요인으로 마케팅믹스적 요인을 주로 다루어 왔는데, 본 연구 결과에 의하면 내부마케팅요인과 브랜드수의 증가요인도 브랜드 자산가치의 구성요소에 많은 영향을 미치는 것으로 나타났기 때문에 기업들은 이들 요인에 대한 세밀한 검토와 관심이 요구된다. 셋째, 기업들은 향후 브랜드 자산가치를 증대하기 위한 장기적이고 전략적인 관리방안이 요구된다.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.367-373
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• 2017

The study aims to suggests mobile application service that helps to reduce physical and mental suffering after surgery for breast cancer patients constantly increasing. At first, I analyze literature research to understand the breast cancer and similar services for achieving study purposes. After I finally design a mobile application that offers to customed one-to-one specialist coaching service focused on post-treatment management by using a double diamond design process model. In detail, first, I analyze the current program and comprehend user needs through interviews with the person such as breast patient, protector, nurse, salesperson in cancer center. Second, I specify the entire scenario, concept and keyword based on the persona and the customer journey map representing user. Third, I propose the mobile application for the ultimate goal by producing prototype to effectively communicate with specific functional descriptions. I hope this service will improve the quality of their lives.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2027-2032
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• 2016

The rapid diffusion of smart phones and the development of data storage and analysis technology have made the field of big-data a promising industry in the future. In the marketing field, big-data analysis on social data can be used for understanding the needs of consumers as an effective and efficient marketing tool. Before the age of big-data, companies had relied upon the traditional methods such as questionnaire survey and marketing test in which a small number of consumers had participated. The traditional methods have still been used. Although both of big-data analysis and traditional methods are useful to understand consumers. It is need to check whether the results from both include similar implications. In this point, this study attempts to compare the results of big-data analysis with that of questionnaire survey on some cosmetics brands methods. As the results of this study, both results of big-data analysis and questionnaire survey include similar implications.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.65-80
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• 2019

With the advent of the ICT-based 4th industrial revolution, the convergence of the manufacturing industry and ICT seems to be the new breakthrough for achieving the company's competitiveness and play a role on the key element for accelerating the revival of the manufacturing industry. When the smart factory is implemented, each plant can analyze the quantity of data collected, build the data-driven operation systems which can make decisions, and ultimately discover the correlation among many events in the manufacturing sites. As the customers' needs become diversified more and more, it is required for the company to change its operating method from large quantity batch production systems to customizable and flexible manufacturing systems. For performing this requirements, it is essential for the company to adopt the smart factory. Based on technology acceptance model (TAM), this study investigates the factors influencing continuous use intention and switching intention of the smart factory. To do so, a questionnaire survey is conducted both online and offline. 122 samples are used for the study analysis. The results of this study will provide many implications with many researchers and practitioners relevant smart factories.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.53-75
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• 2018

Bicycle-sharing as a product service system in the sharing economy, its characteristic is that users can go to nearby places by the public bike at any time however they don't need to have their own bicycle. However, the service quality of bicycle-sharing and satisfaction of users continuously decrease with the rapid growth number of bicycle-sharing users in China. Based on the double diamond model and from the perspective of service design, this research studies the service experience of bicycle-sharing of Chinese users, focuses on the potential pain points of Chinese users when using the public bike, and designs the optimum proposal to promote users' satisfaction. According to the research result, the research builds a new concept which can satisfy users' demand for communication, enjoyment and option during the cycling. The experience of new service system of bicycle-sharing makes humanized and subconscious interaction possible.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.105-117
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• 2019

Current Android smartphones include about 25 to 35 essential applications(unerasable) related to function and operation of the android smartphone itself and about 30 optional applications(removable) provided by carriers, Google and manufacturers. These applications were not able to be removed until the announcement of the smartphone applications pre-install guide from the government in January 2014, so there were memory limitations in installing new applications, causing consumer complaints by consuming data during the auto-update process of the pre-installed applications. After the announcement, we were able to delete optional applications but the complaints about the data consumption still did not disappear. Therefore, in this paper, we carried out the customer survey and analyzed the behavior information such as how carriers are operating pre-installed applications and what kind of applications customer prefers and how many applications customer wants to be pre-installed. And we proposed how to configure pre-install applications on smartphone for customer needs.