• Journal of Digital Convergence
• /
• v.5 no.2
• /
• pp.37-45
• /
• 2007

A lot of organizations have been recognized innovative activities as the required process for organizational effectiveness and efficiency in those. Especially, the perceptual scope of innovation indisputability has been extended to the central and local government, and the public organization, which ultimately have the goal of public benefits. This study is to investigate the feasibility of the assessment elements consisting of framework for making a diagnosis of the level of administration innovation of local government. The elements of framework are such seven elements as innovative leadership, innovation vision and strategies, systematic infrastructure, innovative problems, innovation management, education and learning of innovation, and the perceptual level of members. The research results can provide the implications to not only local governments but also the public policy organizations who wish to extract the innovative problems and diagnose the innovation level of themselves.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.1
• /
• pp.22-28
• /
• 2015

In this paper, we studied the evolution of behavioral logic of artificial individuals using cell-level evolution framework. We first implemented cell-level evolution framework and then investigated the evolution of behavioral logic that artificial individuals ate foods on the framework. A logic frame for behavioral decisions of artificial individuals was devised and applied to the framework. From extensive tests, we found that most artificial individuals could evolve the behavioral logic that they could eat food in a short generation. It was also confirmed that most behavioral logics showed nearly same behaviors of artificial individuals in most tests. Our method has the differences from existing algorithms using evolutionary algorithms and evolvable hardwares in that it is a basically different approach. These results showed that our framework could be a good tool for investigating the evolution of artificial individuals in a cell-level.

• Korean Management Science Review
• /
• v.15 no.2
• /
• pp.19-32
• /
• 1998

This paper reports on a contingency framework for selecting the most appropriate strategy to implement the enterprise Resource Planning(ERP) system in an organization. The two dimensions of our framework are information technology level and culture level of organization. For each of the four contingencies, we recommend a desirable implementation strategy, based on scope and pace of the implementation effort. ERP implementation data from ten organizations were analyzed to validate the proposed framework.

• 한국디지털정책학회:학술대회논문집
• /
• 2004.05a
• /
• pp.421-435
• /
• 2004

This paper explores the applicability of traditional TAM and DOT to multi-level adoption (first level and second level adoption) process occurring within an organizational context. This paper identifies existing gaps in traditional innovation adoption models and concludes that a new framework is required. A new hybrid theoretical framework is developed which combines insights from organizational-level research on technology implementation with constructs from traditional innovation adoption models.

• Journal of Information Technology Services
• /
• v.3 no.1
• /
• pp.43-61
• /
• 2004

Recently It becomes a rapidly growing concern to find effective ways of managing IS development projects as the projects increase in many organization. This paper focuses on developing an integrative management framework for IS development project in contingent perspective. The framework is based upon contingent relationship between management dimensions of IS development project and the characteristics of the task replaced or supported by an IS. Management dimensions of IS development consist of mode, content and process. Task characteristics which are considered as contingent variables include project size, unstructuredness level, hierarchical level, interdependence level and system innovativeness level. The data used for validating this conceptual framework are collected from 119 IS development projects in 70 Korean business organizations. One-way ANOVA and T-test are employed to test the hypotheses.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.9
• /
• pp.4624-4644
• /
• 2019

With the development of films, games and animation industry, analysis and reuse of human motion capture data become more and more important. Human motion segmentation, which divides a long motion sequence into different types of fragments, is a key part of mocap-based techniques. However, most of the segmentation methods only take into account low-level physical information (motion characteristics) or high-level data information (statistical characteristics) of motion data. They cannot use the data information fully. In this paper, we propose an unsupervised framework using both low-level physical information and high-level data information of human motion data to solve the human segmentation problem. First, we introduce the algorithm of CFSFDP and optimize it to carry out initial segmentation and obtain a good result quickly. Second, we use the ACA method to perform optimized segmentation for improving the result of segmentation. The experiments demonstrate that our framework has an excellent performance.

• Asian Journal of Innovation and Policy
• /
• v.7 no.2
• /
• pp.235-286
• /
• 2018

The aim of paper is to develop an alternative framework for the study of technological innovation systems. In contrast with conventional literature, this analytical framework is designed for entrepreneurs, i.e. actors, at the micro level rather than policy-makers at the meso or macro level. Herein, the entrepreneurial innovation system is conceptually refined by synthesizing knowledge regarding technological innovation and innovation systems. Drawing upon the intrinsic technological identity essential for innovation, the entrepreneurial innovation system is shown to involve three core changes in terms of technology, organization and market, and their couplings within its internal boundary over time. This analytical framework also takes into account the fact that the innovation system is influenced by and copes with the external environment during its evolution. Moreover, the framework of the entrepreneurial innovation system considers the recent trend of sustainable development. The technical and socio-economic characteristics of a nuclear powersystem are studied empirically to articulate an analytical framework that should be very useful for technological innovation in other energy systems by reflecting their unique features.

• Journal of Digital Convergence
• /
• v.9 no.2
• /
• pp.141-152
• /
• 2011

The data center has become an increasingly important part of most business operations. An increasing demand for computation has led to increasing industry energy consumption. Therefore, higher-than-normal rates of energy efficiency have become a core issue in the life cycle of data center. In this paper, we proposed the framework of level diagnosis for green data centre that can be used to diagnose the levels of capability maturity model. This framework contains the 5 key areas such as construction, air-conditioning, electricity, information technology, organization and indicators that can be applied as basic level diagnosis guide for green data center.

• The Mathematical Education
• /
• v.44 no.2 s.109
• /
• pp.215-228
• /
• 2005

The purpose of this study is to development the scoring framework for teacher knowledge of fractions. This framework is qualified in the content-validity by professional educators' evaluation and in the reliability by correlation coefficient. 2 math educators judged that this framework is composed of appropriate scoring category, scoring criterion, and scoring level. After 2 teachers scored the tasks, correlation coefficient was calculated between evaluators. The coefficient is evaluated high in that it is more than 0.80.

• Journal of The Korean Institute of Defense Technology
• /
• v.5 no.2
• /
• pp.23-30
• /
• 2023

TRA(Technology Readiness Assessment) quantitatively assesses the current level of domestic technology and is used as a key tool for determining the possibility of domestic R&D and risk management. However, since the current TRA utilizes hardware-oriented TRL(Technology Readiness Level), it is suitable for independent assessment of each technologies, but has limitations in evaluation from a system integration perspective. In addition, the checklist-based assessment is highly likely to involve subjective evaluation. This study proposes an enhanced TRA framework by redefining TRA procedures and criteria from the systems integration perspective of system engineering. We focused on developing a framework that overcomes the limitations of the current TRL/TRA and enables easier and more intuitive assessment. The proposed framework distinguishes between TE(Technology Element) and CTE(Critical Technology Element) in terms of HW, SW and interface and redefines TRL. TRA is performed according to the TRL redefined from the above three points of view, and the lowest evaluation value is used as system maturity level in consideration of risk management. The proposed CTE selection method minimizes the intervention of the evaluator by utilizing the quantitative goal of the key ROC(Required Operational Capability), development difficulty, and application of COTS(Common Off The Shelf) technology. The effectiveness of this framework was confirmed through a case study of the TSS(Target Surveillance System). It is hoped that starting with this study, research at the framework level will be activated and contribute to the improvement of the TRA system.