• Asian Journal of Innovation and Policy
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• 제7권3호
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• pp.489-510
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• 2018

Institution-based Technology Business Incubators are on the rise in India, as a means of promoting innovation-based tech start-up ecosystems, due to increased policy initiatives. Against this background, we have traced the origin and process of building a start-up ecosystem in IIT Madras, Chennai of India, based on semistructured interviews held with the stakeholders of the ecosystem. Subsequently, we have ascertained the key components of IIT Madras start-up ecosystem, and the process of incubation comprising pre-incubation, incubation and post-incubation phases. Finally, we have derived the key lessons from the ecosystem development experience and incubation process which enable generation of start-ups from both students and faculty, apart from alumni and ex-industry executives. Though this ecosystem model has emerged over a period of time through learning and experience, the ecosystem is able to generate more than 100 start-ups, majority of them being from students and faculty. Thus, the evolved start-up ecosystem of IIT Madras is able to generate faculty-supported and student-led entrepreneurship successfully.

• Journal of Information Technology Applications and Management
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• 제29권3호
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• pp.75-93
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• 2022

The purpose of this study is to compare and analyze each government's ICT SME support policies to cope with changes in the ICT ecosystem paradigm. In particular, the core policies and policy trends of the Moon's government are presented through keyword network analysis and cognitive map analysis. As a result, core technologies such as ICT(Information Communication Technology), AI(Artificial Intelligence), Big Data, and 5G, which have high values of betweenness centrality and closeness centrality, are major keywords with high propagation power. The cognitive map analysis shows that the opportunity factors for the 4th industrial revolution are being activated through the ICT infrastructure circulation process, the domestic market circulation process, and the global market circulation process. This study is meaningful in terms of cognitive map analysis and utilization based on scientific analysis.

• 한국콘텐츠학회논문지
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• 제13권6호
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• pp.202-211
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• 2013

정책결정자는 인지시스템을 통해 환경을 이해하고, 사건들에 대한 정보를 해석하고, 행동을 결정한다는 인지심리학 이론을 바탕으로 한국의 국정최고의사결정자인 제 16대 노무현대통령의 부동산정책에 관한 정책신념을 이해하고자 노무현대통령의 발언어록을 수집하고, 부동산정책과 관련된 관련변수들을 추출하였다. 이를 바탕으로 언어네트워크분석을 실시하였다. 연구결과를 요약해보면 다음과 같다. 첫째, 노무현대통령이 인지한 부동산정책의 주요변수는 서민경제, 부동산투기 등으로 나타났다. 둘째, 노무현 대통령이 인지하는 부동산정책의 주요 변수들은 다양한 경제변수들과는 밀접한 상호연관성이 약한 것으로 나타났다. 셋째, 부동산정책과 관련하여 지나친 서민경제와 서민생활변수에 대한 집착이 부동산정책을 실천함에 있어 사회적 합의보다는 사회적 대결을 지향하는 원인으로 작용하게 되었던 것으로 분석되었다. 이러한 연구결과는 정책결정과정을 인지심리학의 관점에서 설명함으로써 정책이론에 기여할 것으로 판단된다.

• STI Policy Review
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• 제7권1호
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• pp.1-16
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• 2016

Technology supply has been the main thrust of the Korean government's science & technology policy, focusing on the development and acquisition of new technology in line with the catching-up strategy of economic growth and industrial development. However, new social or societal problems have become major government policy issues, heralding new innovation policy aimed to address them. Such new policy initiatives for social problem-solving present a niche where the existing system of government innovation policy process is challenged, including such processes as goal-setting, planning, implementation, project management, and evaluation. The rigidity of the existing institution of government innovation policy, however, still shapes the content and progression of innovation policy for social problem-solving. This study reviews Korean innovation policy for social problem-solving as a policy niche, and aims to clarify its challenges and opportunities. It uses a system transition framework to explain the emergence and evolution of the innovation policy niche in Korea. The main research question is to what extent and in what aspect the existing innovation policy regime shaped innovation policy for social problem-solving. The study examines the inertia of the current paradigm of innovation policies and R&D programs, and sheds light on the search for a distinctive identity for innovation policies that tackles social problems.

• 산업경영시스템학회지
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• 제26권1호
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• pp.7-16
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• 2003

At present, company has to produce a product that consumer like with a competitive price, a good quality, and a fitting time to supply. Process control and quality control are very important to supply with a product uniformly and inexpensively. Process control is given much weight in the quality control in manufacturing system. Statistical process controls(SPC) that are used in process generally have major impact on manufacturing, product design activities, and process development potentially. Control charts in statistical process control method can be interpreted the data from quality characteristics in production process and discriminated between chance variation and assignable variation in process. In addition, control chart can be used to monitor the process output and detect when changes in the inputs are required to bring the process back to an in-control state. The models that relate the influential inputs to process outputs help determine the nature and magnitude of the adjustments required. In this paper, the characteristic of product quality is monitored by control chart during the machining process and construction of quality control cycle is considered to divide into two types in this case that different assignable causes lead to shifts having different magnitudes. Then we are intended to find a process shift magnitude which has economical quality cost policy and are considered to quality cost functions to find a process shift magnitude. Those costs are categorized into the well-known categories of prevention, appraisal, and internal failure and external failure. This paper ends with numerical examples that demonstrate the usefulness of the model.

• 품질경영학회지
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• 제39권4호
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• pp.480-485
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• 2011

This paper presents a spare ordering policy for preventive replacement with minimal repair. To analyze the ordering policy, the failure process is modeled by a non-homogeneous Poisson process. Introducing the ordering, repair, downtime, replacement costs and salvage value, we derive the expected cost effectiveness as a criterion of optimality when the lifetime and lead times for the regular and expedited orders are generally distributed random variables. It is shown that, under certain conditions, there exists a finite and unique optimum ordering time which maximizes the expected cost effectiveness. A numerical example is also included to explain the proposed model.

• 농촌계획
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• 제22권1호
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• pp.113-120
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• 2016

The purpose of this paper is to decide priorities of policy-objectives and support measures related to the $6^{th}$ industrialization of agriculture, and prepare policy-objectives and alternatives to contribute to maintaining and promoting the community through creation of more jobs and added value. We used the Analytic Hierarchy Process (AHP) to reflect the experts' opinions about objectives, means and priorities of the $6^{th}$ industrialization of agriculture. The important objectives of the 6th industrialization of agriculture were to create jobs, to increase added values, and to maintain and activate the community. The results showed that the most important objectives for the $6^{th}$ industrialization of agriculture were maintaining and activating the community, expanding added values and creating employment in order. Policy means to achieve these objectives were financial support, human resource training & consulting, research & development, and marketing. The decision-makers determined marketing as the most important among the policy means to achieve the objectives of the $6^{th}$ industrialization.

• STI Policy Review
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• 제1권2호
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• pp.69-88
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• 2010

This paper explores the determinants of the innovation impact of publicly funded R&D projects along three broad dimensions, namely project, firm and market-related factors. In addition to these factors we examine the attributes of the research result per se and aspects of the commercialization process. The observations from empirical and qualitative analyses are based on R&D projects funded by the Fifth and Sixth Research Framework Programmes of the European Union. Firm size, prior experience, innovation culture, the nature of the project itself, explicit intension to commercialize, consortium management and strategy are the factors with the strongest effect on project success, defined in terms of product/process innovation and/or technical knowledge creation. The paper provides important implications for the organization, objectives, and management of public programmes that fund R&D and for project and participant selection.

• 한국인구학
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• 제8권2호
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• pp.68-78
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• 1985

It is well recognized that, in most developing countries, rapid population growth has been a serious problem. And there is a growing tendency to regard the problem as a political issue in these coun-tries. So far, many developing countries have formulated and implemented population policies aiming at an reduction of such population growth. This study attempts, in policy perspective, to examine theoretically the process and determinants of population policy making and implementation in those developing countries. In doing this, it gives emphasis on explaining population policy determinants and therefore, deals with (1) decision makers' perceptions and attitudes, (2) governmental structure and capability, (3) mass fertiliry behavior, and (4) foreign aid agencies' role.

• 산업경영시스템학회지
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• 제43권3호
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• pp.61-67
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• 2020

The fourth industrial revolution encourages manufacturing industry to pursue a new paradigm shift to meet customers' diverse demands by managing the production process efficiently. However, it is not easy to manage efficiently a variety of tasks of all the processes including materials management, production management, process control, sales management, and inventory management. Especially, to set up an efficient production schedule and maintain appropriate inventory is crucial for tailored response to customers' needs. This paper deals with the optimized inventory policy in a steel company that produces granule products under supply contracts of three targeted on-time delivery rates. For efficient inventory management, products are classified into three groups A, B and C, and three differentiated production cycles and safety factors are assumed for the targeted on-time delivery rates of the groups. To derive the optimized inventory policy, we experimented eight cases of combined safety stock and data analysis methods in terms of key performance metrics such as mean inventory level and sold-out rate. Through simulation experiments based on real data we find that the proposed optimized inventory policy reduces inventory level by about 9%, and increases surplus production capacity rate, which is usually used for the production of products in Group C, from 43.4% to 46.3%, compared with the existing inventory policy.