• Journal of Service Research and Studies
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• v.9 no.3
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• pp.61-72
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• 2019

Design is a knowledge service industry that is undervalued in Korea despite its large impact on the development of high - tech industries such as national industrial policy and the fourth industrial revolution. In the design industry, the strategic outsourcing system collapses. This phenomenon is not confined to the domestic market, and the design service companies of design-developed countries such as Europe and the US are also struggling with the classic. Accordingly, some implications were found through the case study of domestic design projects, including overseas, that private companies are more concerned with design cost reduction and cost structure to secure liquidity rather than improving design quality level and pursuing innovation through design outsourcing. It is big. As design is a core competency of a company, internalizing core design tasks, and as products and services become platforms, regional design countermeasures have been reduced, which has led to a decline in the cost standard for large companies' design service outsourcing. In design service industry, design outsourcing is performed at the request of the client, and the service value of the outsourcing is received. In the early 2000s, the importance of design management led global consulting companies to pursue M & A rather than cooperate with design service companies, and Samsung Electronics and other large corporations acquired a large number of excellent design personnel and developed their own design management research institute. This study investigated the design service outsourcing cases of public and private companies (large corporations, midsize companies) widely in relation to the design service price criterion, and grasped the indicators of the actual size and level of the design industry. I will make suggestions about the value and direction of the global design industry through interviews with experts and literature on the changes and influences of these cost criteria.

• Journal of the Korean Institute of Gas
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• v.11 no.3
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• pp.56-63
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• 2007

These days, needs and wants of the customers are getting diversified and the market is also changing rapidely. Many organizations are now attempting change and innovation activities to improve products and service quality. This study was performed to apply 6 sigma tools for the efficient repair management of city gas supply equipment. Vital few factors, RISK factors, sigma values, root causes. and solutions were derived by 6 sigma tools. We are performing statistical process control for the new process. Six sigma for city gas supply equipment safety management enabled to improve the business management for efficiency by reducing variation and eliminating cost for quality.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.33-37
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• 2019

공공기술을 활용한 스케일업(Scale-up)이 기업의 새로운 성장 전략으로 주목받고 있다. 스케일업의 사전적 의미는 '규모 확대'다. 기술, 제품, 서비스, 경영 등 기업의 외형과 내실이 크게 개선되거나 그에 상응하는 성과 창출의 뜻이 담겨있다. 기업가치 10억 달러($1 billion) 이상, 설립된 지 10년 이하로 통칭되는 유니콘(Unicorn) 기업의 등장이 스케일업에 대한 관심으로 옮겨 붙은 양상이다. 스케일업은 이러한 차원에서 고성장 기업을 통칭하는 말로 쓰인다. 국가별로 차이는 있지만 직원 수 10명 이상, 최근 3년간 매출이나 연평균 고용 성장률이 20% 이상인 기업을 스케일업으로 정의한다. 문제는 미국과 같은 선진기업 환경에서는 핵심 기술이나 신성장 동력 확보차원에서 다양한 기업인수합병(M&A)이 추진되거나 오픈 이노베이션(Open Innovation, 개방형 혁신) 방식의 기업간 기술협력이 활발히 일어나고 있지만 우리나라는 상대적으로 그러하지 못하다는데 있다. 결과적으로 국내 기업 환경과 사회적 분위기를 감안해 공공연구기관으로부터 기술을 이전받거나 연구개발특구진흥재단이 추진하는 연구소기업 제도를 활용한 스케일업의 중요성이 커지고 있다. 4차산업 시대를 맞아 기업간 합종연횡이 더욱 빈번하고 일어나고 기술간 융복합이 가속화되는 지금의 상황에 비춰볼 때 공공기술을 활용한 연구소기업들의 다양한 스케일업 사례는 우리에게 많은 시사점을 안겨준다. 기업성장을 위한 새로운 전략적 도구로 활용될 소지가 충분하다고 판단된다.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.949-957
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• 2009

The fashion apparel industries have demanded to be extremely consumer-oriented. Therefore, the need of personalization arises. The purpose of this study is to investigate the relationship between apparel shopping orientation and various personalization strategies provided in the apparel shopping process. A total of 422 questionnaires were used for statistical analysis. Canonical correlation and ANOVA were conducted. Results indicated that higher level of demand for "sale-promotion personalization" and "personalized customer relationship" were significantly related to high level of fashion innovativeness and price consciousness. Consumers who seek for high level of "personalized advice" and "personalized fit" were likely to be price conscious and conforming to clothing but not innovative in terms of fashion and clothing. Shopping orientation group differences were also reported in the study. In personalizing of apparel products, distinctive but relevant strategies should be implemented according to the need of the consumers.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.5
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• pp.376-381
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• 2024

This study is about technology convergence analysis of patents related to artificial intelligence technology. After defining the IPC code 'section-class' of the patent literature as one technology, the relationship between core technologies was analyzed and visualized using the social network analysis(SNA). As a result of the analysis, the core technology of artificial intelligence-related patents is G06, which has a mutual relationship with a total of 52 other technologies. Technologies with many interconnections between technologies include G06, H02, G01, G08, H04, G10, G16, and A61. Additionally, the combination with the most correlation between technologies is G06⇄H04, with G06 being a more central technology than H04. The convergence of e-commerce-related business models(G06) and communication technologies(H04) is making an important contribution to creating innovative services and products. As a result, we can confirm that artificial intelligence technology is promoting innovation and convergence in various industries, and can contribute to understanding technological trends and the direction of technological convergence.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.1-14
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• 2018

The 4th Industrial Revolution is making a big change for our company like the tsunami. The CPS system, which is represented by the digital age, is based on the data accumulated in the physical domain and is making business that was not imagined in the past through digital technology. As a result, the business model of the 4th Industrial Revolution era is different from the previous one. In this study, we analyze the trends and the issues of business innovation theory research. Then, the business innovation model of the digital age was compared with the previous period. Based on this, we have searched for a business model suitable for the 4th Industrial Revolution era. The existing business models have many difficulties to explain the model of the digital era. Even though more empirical research should be supported, Michael Porter's diamond model is most suitable for four cases of business models by applying them. Type A sharing outcome with customer is a model that pay differently according to the basis of customer performance. Type B Value Chain Digitalization model provides products and services to customers with faster and lower cost by digitalizing products, services and SCM. Type C Digital Platform is the model that brings the biggest ripple effect. It is a model that can secure profitability by creating new market by creating the sharing economy based on digital platform. Finally, Type D Sharing Resources is a model for building a competitive advantage model by collaborating with partners in related industries. This is the most effective way to complement each other's core competencies and their core competencies. Even though numerous Unicorn companies have differentiated digital competitiveness with many digital technologies in their respective industries in the 4th Industrial Revolution era, there is a limit to the number of pieces to be listed. In future research, it is necessary to identify the business model of the digital age through more specific empirical analysis. In addition, since digital business models may be different in each industry, it is also necessary to conduct comparative analysis between industries

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.15-29
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• 2021

Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.171-178
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• 2019

Korea's shipbuilding industry is in a critical condition due to changes in the domestic and international environment. To overcome this crisis, preemptive development of products and technologies through prediction of new demand for ships is necessary. The goal of this research is to develop an artificial intelligence algorithm based on ship big data in order to predict new demand for ships. We intend to develop a big data analytics platform specialized in predicting ship demand and to utilize the forecast results of new ship demand through data analysis for planning/development of new products. By doing so, the development of sustainable new business models for equipment and equipment manufacturers will create new growth engines for shipyard and shipbuilders. Furthermore, it is expected that shipbuilders will be able to create business cases based on measurable performance, plan market-oriented products and services, and continuously achieve innovation that has high market destructive power.

• Journal of Distribution Science
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• v.11 no.10
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• pp.17-25
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• 2013

Purpose - This study analyzes the effect of customers' perceived service innovativeness of service centers for electronic goods, on repurchase intentions of customers, using behavior intentions of service centers as a mediator variable. In customer management and customer relationship marketing, service centers can be the most representative customer relationship management departments because they are most closely placed at the interface with customers. In addition, this study intends to investigate if continuous relationship with customers during one-time product-selling can affect their repurchase intentions. Specifically, this research aims to investigate if the expansion of the saturated physical market of the manufacturing business, to intangible service markets, can be competitive enough to satisfy customer needs. Research design, data, and methodology - This study targets college students, and especially those who have computers, digital cameras, or cell-phones, and often use electronic products and services. In order to investigate our hypothesis, we analyzed dates through SEM (structural equation modeling) using SPSS for Windows 18.0 and AMOS 18.0. In addition, we measured Cronbach's α coefficient using SPSS for Windows 18.0 in order to measure reliability. Further, using AMOS 18.0, this research statistically measured convergent validity as well as discriminant validity, and examined mediation models and path models in which service innovativeness leads to customers' repurchase intentions of electronic products. Results - As a result, this research shows that customers' perceived service innovativeness of service centers for electronic goods has significant positive influence on customers' behavior intentions of service centers. In addition, service innovativeness of electronic goods' service centers also has significant positive influence on repurchase intentions of customers. Conclusion - This study investigates the effect of customers' positive relation with the innovativeness of electronic service center on their behavior intention and product repurchase. The more concrete, important results of the study are as follows. Through the mediating effect, the findings of the study suggest that customers' behavior intentions of service centers partially mediate the effect of customers'perceived service innovativeness of service centers for electronic goods on customers' repurchase intentions. This research also provides an insight that the importance of service innovativeness and innovative approaches in managing customers should be recognized in the process of repurchase and service roles of manufacturing business as a way for customer management. As a result, the relationship between customer satisfaction and service quality of service centers for the electronic products is very sensitive. Although previous studies focus on certain aspects of the case for enhancing service innovation (Kim, 2012), this research recommends that the service centers need to understand the customers'desire first and try to adapt to achieve customer satisfaction by being innovative. This innovativeness of service centers would make customers visit them consistently, which in the long run, will also influence their repurchase decisions.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.390-399
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• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.