본 연구는 중국 경덕진 도자기산업 클러스터의 메커니즘과 성공 원인을 분석하고자 하였다. 이를 위해 트리플 힐릭스 이론을 적용한 내용 분석을 통해 정부, 대학, 기업 간의 상호작용을 고찰하였다. 연구 결과, 정부는 산 업 기금을 설립하고 문화창의 거리를 조성하여 혁신적인 인프라와 제도적 환경을 구축하였다. 대학은 도자기 산업계와 긴밀히 협력하며 AI 보조 설 계 시스템을 개발해 도자기 형태 설계 주기를 단축시켰고, 이는 기업의 제 품 혁신 역량을 크게 강화하였다. 기업들은 이러한 정부 지원과 대학의 기 술 혁신을 적극 수용하여 지능형 제조 기술을 도입함으로써 도자기의 완제 품 비율을 향상시켰으며, 시장 피드백을 대학과 정부에 제공하여 선순환 구조를 구축하였다. 이 세 주체 간의 유기적 협력과 상호 보완은 산업 전 반의 혁신 역량을 증대시켜 경덕진 입주기업의 연구개발 투자 비율이 2018년 1.2%에서 2023년 3.5%로 증가하였고, 문화창의제품 비율이 12% 에서 28%로 확대되는 구체적 성과로 이어졌다. 트리플 힐릭스 관점에서 분석한 경덕진의 성공 사례는 기술 혁신(AI 도자기 설계 시스템), 브랜드 재구성(Z세대 타겟팅), 산업 구조 최적화(클러스터 모델)를 통해 전통문화 유산을 고부가가치 산업으로 전환하는 과정을 보여준다.

First Mover Advantage is already well known. It is when a company gains a position in a certain market or industry, or when it establishes a strong entry barriers through a distribution channel or a monopoly of resources. It is a concept that has been attracting attention for a long time in marketing and strategy. However, although it is possible for the starter to enjoy these various benefits, it is also true that there is a corresponding price. Therefore, the risks and costs that the starter may bear, and thus the relative benefits enjoyed by the latter, can be significant. Late Mover Advantage and so on. The fact that latecomers can enjoy a variety of benefits as well as the profits of the starters is an important consideration that must be taken into account by many companies considering entry into the market. In general, there is a very high risk of overinvestment in technology and market uncertainty. For example, China has skipped wired networks and went wireless, and many African countries have skipped wired communications and built infrastructure for wireless communications. In other words, companies that hastened to invest in fixed-line facilities in order to preoccupy the African telecom market are in a state of failure rather than expecting the interests of the starters. Another thing is that the starter has to bear more risks and costs than the latter, such as the uncertainty of demand, the risk of changing consumer preferences, and the cost of training new consumers. Also, because imitation is generally less costly than development, a latecomer entering through imitation may be in a better position if patents or other technical defenses are not available. Especially, if latecomers have excellent management ability and financial power such as excellent marketing ability, it is relatively easy to catch up with the first candidate.

Growth possibility is big to culture tourism resources and representative tourist resort of the Korea that use view of nature photon circle properly such as ceramics that target area possesses. Area development plan through growth possibility should be arranged to international ceramics production complex and distribution complex. Therefore, Marketing analyzing future district theme establishment and strength in priority via past and present of target area.

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. In this study, data on 67,278 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years (2002~2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.