• Title/Summary/Keyword: innovation demand

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대학 및 연구소와 산업계간 기술이전의 구성모델

  • 문병근;조규갑
    • Journal of Technology Innovation
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    • v.9 no.2
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    • pp.1-16
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    • 2001
  • Technology transfer is recognized as a critical issue to strengthen industri competitiveness in today's global and knowledge-based economies. The vertical transfer of technology from R&D labs to industries is becoming more emphasized than the horizontal company-to-company transfer of commercialized technology. The network and cooperation among technology transfer intermediaries are becoming more important with the increasing demand of the comprehensive technology transfer services. This paper presents the configuration models for technology transfer from universities and research institutes to industries. The configuration models are classified and discussed from the viewpoint of information flow, and also technology and knowledge transfer.

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Patent map development of High-efficiency electric machineries (고효율 전기기기 특허동향 분석)

  • 박종진;이창호;김남정
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2000.11a
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    • pp.177-193
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    • 2000
  • In foreign countries, high-efficiency electric machineries have been developed in view of cost reduction, environmental issues, energy conservation etc. Especially they focus on developing energy conservation measures and demand-side management. Thus, patent application and secure of patent claims are on the rise as important issues in this field. In this paper, we analyzed patent application trends about inverters, ac/dc converters, reactive power control equipments, high-efficiency transformers and electric ballasts among high-efficiency electric machineries. First, we analyzed general technology trends, and constructed patent technology data. Second, we graphed patent application trends in terms of application years, assignees and nations.

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A Study on the Factors Determining the Consumer Innovation Confidence: From the Perspective of Innovation Demand (혁신의 수요측면에서 소비자의 혁신 신뢰성 결정요인에 관한 연구)

  • Cho, Dong-Hwan
    • Proceedings of the KAIS Fall Conference
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    • 2011.12a
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    • pp.33-36
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    • 2011
  • 혁신에 관한 많은 연구들이 혁신의 공급 측면에 초점을 맞춰 진행되어 왔으나, 본 연구에서는 혁신의 공급측면 대신 수요 측면에 초점을 맞춰 혁신 신뢰성에 영향을 미치는 요인을 탐색하고자 하였다. 문헌 연구를 통해 혁신 신뢰성에 영향을 미치는 요인으로 소비자의 연령과 소득수준, 개인적 네트워크, 기회인식, 역량 자신감을 선정하였다. 가설 검증을 위해 국내 2,000명의 설문 응답자를 기반으로 한 창업 분야의 글로벌 데이터베이스인 GEM 데이터를 이용하였다. 본 연구의 결과는 기업의 마케팅 활동의 효과성을 제고하는 데 실질적으로 활용될 수 있을 것이다.

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Benefit Analysis of Carpool Service in Public Agencies Transferring Innovation Cities (혁신도시이전 공공기관의 카풀 도입 편익분석)

  • Do, Myung sik;Jung, Ho yong
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.169-181
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    • 2017
  • As vehicle supply rate increases, traffic jam-related problems emerge and sharing transportation including carpool, centered on the advanced countries, becomes a major interest. This study aims to analyze benefit generated by carpool during the rush hours of medium and long distance travel, focused on the workers of public Agencies relocated to innovation cities. In order to compute benefit, carpool demand of relocated public Agencies was estimated and travel speed was estimated according to reduced traffic volume through carpool adoption using a traffic flow model. The benefit were computed dividing them into direct benefit and indirect benefit. As a result, 23billion KRW and 56.5billion KRW were annually revealed to be generated in terms of direct benefit and indirect benefit. The study result is expected to be used as part of basic research to adopt carpool for future traffic demand management.

Demand Forecasting with Discrete Choice Model Based on Technological Forecasting

  • 김원준;이정동;김태유
    • Proceedings of the Technology Innovation Conference
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    • 2003.02a
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    • pp.173-190
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    • 2003
  • Demand forecasting is essential in establishing national and corporate strategy as well as the management of their resource. We forecast demand for multi-generation product using discrete choice model combining diffusion model The discrete choice model generally captures consumers'valuation of the product's qualify in the framework of a cross-sectional analysis. We incorporate diffusion effects into a discrete choice model in order to capture the dynamics of demand for multi-generation products. As an empirical application, we forecast demand for worldwide DRAM (dynamic random access memory) and each of its generations from 1999 to 2005. In so doing, we use the method of 'Technological Forecasting'for DRAM Density and Price of the generations based on the Moore's law and learning by doing, respectively. Since we perform our analysis at the market level, we adopt the inversion routine in using the discrete choice model and find that our model performs well in explaining the current market situation, and also in forecasting new product diffusion in multi-generation product markets.

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Forecasting methodology of future demand market (미래 수요시장의 예측 방법론)

  • Oh, Sang-young
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.205-211
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    • 2020
  • The method of predicting the future may be predicted by technical characteristics or technical performance. Therefore, technology prediction is used in the field of strategic research that can produce economic and social benefits. In this study, we predicted the future market through the study of how to predict the future with these technical characteristics. The future prediction method was studied through the prediction of the time when the market occupied according to the demand of special product. For forecasting market demand, we proposed the future forecasting model through comparison of representative quantitative analysis methods such as CAGR model, BASS model, Logistic model and Gompertz Growth Curve. This study combines Rogers' theory of innovation diffusion to predict when products will spread to the market. As a result of the research, we developed a methodology to predict when a particular product will mature in the future market through the spread of various factors for the special product to occupy the market. However, there are limitations in reducing errors in expert judgment to predict the market.

Directions of the Activation of the Development of a Small Innovative Enterprise

  • Antypenko, Nadiia;Dongcheng, Wang;Lysenko, Zhanna;Krasnonosova, Olena;Grynevych, Liudmyla
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.495-502
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    • 2021
  • The study is devoted to substantiation of directions of intensification of development of small innovative enterprise, which has a significant impact on the overall innovation activity of the country and promotes innovative development, transition to more advanced technological systems. The outlined role of small business in innovative development in the direction of intensifying innovation in the economy, improving organization and production, as well as in the form of direct participation in the innovation process, production of science-intensive products, stimulating demand for innovation. A group of factors hindering the development of small innovative entrepreneurship was identified, including: financial aspects of the activity, shortcomings of organizational and communicative nature, underdeveloped technology market, information plan problems, internal production problems of small business, market problems. The directions of intensification of the development of small innovative entrepreneurship are substantiated, namely: financial and credit support of small innovative entrepreneurship; introduction of tax incentives; material and technical support; nationwide intensification of innovation activity; information support; development of innovation infrastructure. The involvement of the outlined directions of intensification of small innovative entrepreneurship will help to obtain a synergistic effect of innovative development of both small innovative business structures and the economy as a whole.

The study of the relationship of the defense industry-specific factors effect the innovation of manufacturing technology and the market share. (방위산업의 시장구조 결정요인이 기술혁신과 시장지배에 미치는 영향)

  • Chung, Young-Hyun
    • Journal of National Security and Military Science
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    • s.5
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    • pp.241-280
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    • 2007
  • This study examines the relationship of the industry-specific factors that effect innovation of manufacturing technology and the market share within the defense industry. Since the establishment of the basic defense industry framework in 1973, there were numerous interactions of the industry-specific factors of the defense industry structure with the technological innovation and market organization of the defense industry. During last three decades, the domestic defense industry has achieved the considerable level but the framework of the basic system has not developed much in areas of the military science and the defense manufacturing technology. Industry-specific factors were formed in the process and appeared in a variety of behavioral characteristics as subsystems. Currently, there IS a growing trend where the management of defense industry is gradually deteriorating due to limitation of the domestic industry-specific factor (e.g. defense technologies, amount of demand, etc.). If there is a prominent imbalance of the industry-specific factors. it can trigger the potential problem of conflict, lack of cooperation and control, slowing the growth of the manufacturing technology thereby diminishing the market and deteriorating the defense supply/demand relationship. In a research conducted by Joe S. Bain, Bain analyzed the relationship of the traditional industrial organization where industry-specific factor(S) not only impacts the conductor(C). And, conductor(C) influences the shaping of the performance(P) of relationship of the traditional industrial organization. Consequently, the researcher has identified the demand monopoly, barriers to entry, and market competition with comparison of defense industry issues. These defense issues were three industry-specific factors identified, which are 1) The demand monopoly and The entry barriers to new market competition, 2) the industrial technical factor to a production technical competitiveness and a market sharing competitiveness, 3) the probability factor to revolution for military affairs(RMA) and a R&D production. According to baseline with these factors, the following research model is established from the special companies group(Group A), the systematization companies group(Group B), and the general companies group(Group 0. The hypothesis is that if there are more industry-specific factors, then there will be more relationships of defense industry relation statutes. This research is an empirical study on the relationship that the industry specific factors effects the innovation of manufacturing technology and the shaping of the market in the defense industry. Moreover, the existing models to evaluate the industry specific factors of the defense industry IS much to be desired with the controlled statistical analysis of the result. It is vital to study on current situation with suggesting alternative strategy to the efficient strategy. The descriptive analysis approach analysis is conducted with SPSSWIN to conduct reliability test, factor analysis, correlation analysis, cross-tabulation analysis, one-way ANOVA, and multiple regression analysis. However, there were some limitations of the survey such as the rigidity of concept about the technical factors and various market management factors. The wishes is that the decision-maker could be utilized these defence industrial factors to formulate efficient defence policy and strategy in the future.

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An Adaptive Framework for Forecasting Demand and Technological Substitution

  • Kang, Byung-Ryong;Han, Chi-Moon;Yim, Chu-Hwan
    • ETRI Journal
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    • v.18 no.2
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    • pp.87-106
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    • 1996
  • This paper proposes a new model as a framework for forecasting demand and technological substitution, which can accommodate different patterns of technological change. This model, which we named, "Adaptive Diffusion Model", is formalized from a conceptual framework that incorporates several underlying factors determining the market demand for technological products. The formulation of this model is given in terms of a period analysis to improve its explanatory power for dynamic processes in the real world, and is described as a continuous form which approximates a discrete derivation of the model. In order to illustrate the applicability and generality of this model, time-series data of the diffusion rates for some typical products in electronics and telecommunications market have been empirically tested. The results show that the model has higher explanatory power than any other existing model for all the products tested in our study. It has been found that this model can provide a framework which is sufficiently robust in forecasting demand and innovation diffusion for various technological products.

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A study on the introduction plan of the renewable energy in innovation city (혁신도시 신재생에너지 도입 연구)

  • Kim, Jeong-Uk;Kim, Ho-Chan;Boo, Chang-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.5
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    • pp.2254-2260
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    • 2011
  • This paper presents the introduction plan of the renewable energy in innovation city. The introduction plan to make the condition of innovation city best should consider the economical efficiency, the quality of life and the sustainable development. The design of balanced city is demanded to build environment friendly and sustainable city. Energy efficient buildings should be designed to deal with the energy efficiency and environment problem. Therefore, in this paper, we analyze the energy efficiency and provide the method to introduce the renewable energy system, in various buildings. As a result, the renewable energy plans of each innovation city are suggested and analyzed.