• Information Systems Review
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• v.12 no.2
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• pp.1-23
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• 2010

Most enterprise information systems today are silo systems in that they are not properly aligned nor integrated with one another. Such silo systems result because enterprises lack an architectural perspective in the planning and development of the systems. This paper proposes an Enterprise Architecture Orientation Model as a framework for the analysis, planning and design of the architectural quality of enterprise information systems. The model decomposes enterprise architecture into two dimensions-alignment and integration, and specifies for each dimension the general development and evolution stages enterprises may traverse. The alignment dimension represents the vertical strategic alignment of the systems with the vision, mission, strategy and goals of the enterprise, and is analyzed in terms of the performance, capability, and strategy of the enterprise. The integration dimension, on the other hand, represents the horizontal and functional integration among the systems that span organizational functions and boundaries, and is analyzed in terms of such technological components as IT infrastructure, data, application, and business processes. The model combines the alignment and integration dimensions to form a two-dimensional conceptual space for mapping the architectural quality of the enterprise. It is proposed that an enterprise use the model to identify and understand its position now and in the future in the architectural quality of the enterprise information systems. It is also proposed that the model provides a tool for the planning and design of the transition from one stage to the next in the alignment and integration of the systems to reach an architectural maturity. At the end, the paper discusses how the model can be applied differently according to the strategic orientation of the enterprise. An example of the usage of the model is presented.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.5
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• pp.79-96
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• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.241-264
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• 1996

This article introduces the five functions of the national innovation system (NIS). As the national innovation system is a kind of social systems in the national level, the five generic functions of open system-production boundary spanning, maintenance, adaptation management functions-are applied to the NIS. The production function is the primary process, which produces innovative products and services of the NIS. The boundary spanning function is the function of procuring the input and disposing the innovation output or aiding in these process. Experienced R&D human resources, R&D funds, technology etc. belong to the input of the NIS. The maintenance function is responsible for the smooth operation and upkeep of the system in terms of various conditions. The adaptive function is to help the system change and adapt, scan the environment for problems, opportunities, and technological developments. It faces outward for the survival of the system from the long-term view. The management function carries out planning and controlling the overall activities for the other four functions in order to run the system. Finally it discuses implications for the diagnosis and the decision making process of S&T policy.

• Journal of the Korean housing association
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• v.19 no.4
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• pp.107-119
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• 2008

The purpose of this study was to provide basic information about the study of model development of sustainable housing area. So, this study identified the concept of sustainable development and condition after investigation Habitat Agenda II, and the 10 items of agenda were used to constitute the case study framework. This study found the development characteristics through the case study of 6 sustainable housing areas in the world(US, UK and Australia), and searched the missing point in the sustainable development concept. The major findings are summarized as follows: First, the attempt of environmental sustainability was restrictive such as minimal environment pollution and waste, water resource protection and conservation of nature ecosystem. Second, in social-culture sustainability, the effort of right to housing, solution of urban squatter and housing welfare eliminated. Third, in economic sustainability, the attempt of prevent natural disaster, technological and industrial disaster excluded.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.345-359
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• 2014

Technological, policy and economic factors are both important variables in maximizing the results of a national R&D program and key indicators in evaluating an R&D program's eligibility for financial support. Economic analysis, in particular, is used when selecting R&D programs, setting priorities, and estimating economic effects. This paper examines a series of methodological issues related to the economic analysis of national R&D programs within the framework of the current preliminary feasibility evaluation system, and proposes alternative approaches to each of the issues discussed. The issues include the definition of R&D valuation and establishment of valuation factors; estimation of sales attributable to R&D investment; assessment of the total economic value of R&D as intellectual assets; estimation of R&D benefits and assumption of related to sales; and the application of discount rates based on the weighted average cost of capital. Finally, this study presents directions for future research on analytical procedures and methods of improving the reliability of the results of economic analysis within the national technology planning system.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.231-238
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• 2005

The purpose of this paper is to analyze the case of leading company in digital contents to promote industrial competitiveness of Korea. Analysis of this case study focuses on function and roles of leading company in digital contents industry. The main results of the paper are as follows: First, the government should prepare, main, and improve required technological and legal infrastructure for digital contents as quickly as possible. Second, the diffusion of the new digital contents companies can be promoted by ensuring fare competition and reliable market. For the inducing of this results, brainstorming methodology of related expert and survey research with leading company were applied to this paper.

• Asian Journal of Innovation and Policy
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• v.6 no.1
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• pp.23-44
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• 2017

This study explores how the technology commercialization process leads to either success or failure after transfer from PROs to SMEs by conducting a binomial logistic regression analysis. We found that the more additional development a firm implements on the transferred technology, the more likely the commercialization is to fail. The higher number of alternative technology and bigger market risk are associated with a greater likelihood of failure. On the other hand, the existence of complementary technology, the degree of cooperation with the technology provider, the size of the target market, the willingness of the CEO, and the funding availability are known to have positive effects on the success of technology commercialization. In addition, the case studies we conducted from the sample companies demonstrated that "market uncertainty," "technological issues depending on the technology-specific characteristics," and "a lack of funding capability" are some of the causes for failure of technology commercialization.

• Research in Mathematical Education
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• v.19 no.3
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• pp.155-174
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• 2015

The goal of this study was to examine the three components of a laboratory class cycle that empowered teachers to change their teaching practices. Six teachers and their administrator in an elementary school in the southeastern United States participated in the study. All the teachers were interviewed, and their mathematics lessons were observed at the end of each cycle of laboratory classes. The study revealed how planning, observing, and critiquing mathematics lessons as a team assisted the teachers' learning and teaching. We identified opportunities for the teachers to experiment with different teaching approaches, and we found that support from the team and from the school were key factors for the laboratory class cycle to function effectively.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.957-962
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• 2008

We propose a model for the line expansion problem in the AMOLED (Active Matrix Organic Light Emitting Diodes) industry, which now faces market uncertainty: for example, changing customer needs, technological development path, etc. We focus on the optimal investment time and size of the AMOLED production lines. In particular, employed here is the ROV (Real Options Valuation) model to show how to capture the value of line expansion and to determine the optimal investment time. The ROV framework provides a systematic procedure to quantify an expected outcome of a flexible decision which is not possible in the frame of the traditional NPV (Net Present Value) approach. Furthermore, we also use Monte Carlo simulation to measure the uncertainty associated with the line expansion decision; Monte Carlo simulation estimates the volatility of a decision alternative. Lastly, we present a scenario planning to be conducted for what-if analysis of the ROV model.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.169-188
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• 2014

Recently the complexity and difficulty of the IT projects are increasing due to technological and environmental risks, resulting in the adoption of PMO(Project Management Office) onto IT project management practices, including public area projects. For example, the Korean government regulated the application of PMO onto large scale public IT projects. However, since there has been no reliable method to estimate the cost to execute PMOs, a PMO cost evaluation model to support the budget and cost planning of PMO projects is required. Thus, the purpose of this research is to develop a systematic cost evaluation model for PMO projects. We identified the dimensions that determine the PMO execution cost to be the scale of the subject project, the technical difficulty level of the subject project, and the tasks to be executed in the PMO project. Based on the determinants, the PMO execution cost model were developed from historical data and experts opinion. Upon verification, the validity of the developed model has high level of consistency compared with their experiences of real PMO project costs.