• Title/Summary/Keyword: 모델 도출 활동

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Socio-Technological System Transition and Innovation Activities of Firms (사회-기술 시스템 전환과 기업 혁신활동)

  • Hwang, Hye-Ran;Song, Wi-Chin
    • Journal of Technology Innovation
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    • v.22 no.4
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    • pp.57-88
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    • 2014
  • The 'Grand Challenge' in the global level raises fundamental questions on the role of private firm as a profit maximizer. From the new perspective, firms are recognized as a social entity with social and environmental responsibility. Particularly, the importance of transition-orineted firms, which pursue an objective of socio-technological system transition, have increased. These environmental changes request a new understanding on the identification of firms and the evolution of sustainable business model from the technological innovation perspectives. This paper aims on the new understanding on the motivation of firms who participated on the sustainable system transition and the proposal of 'transition-oriented firms' concept. Based on literature survey, this paper reviews the role of firms in the process of socio-technological system transition, the cases of transition-oriented firm, the types of sustainable business models and their strategies.

CSR Ad Strategy Based on Corporate Social Responsibility Theme, Model and Message Appeal (사회적 책임 활동 주제와 광고모델 및 메시지 소구방식에 따른 CSR광고 제작전략)

  • Yu, Seung-Yeob
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.159-168
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    • 2019
  • The purpose of this study is to propose a strategy for creating an advertisement for Corporate Social Responsibility(CSR) based on the strategy of selecting an advertisement model in order to efficiently execute the advertisement of CSR. Data were analyzed by regression analysis. The results of this study are as follows: First, it is found that the value-relevance factors of the model are important regardless of the theme of CSR. In the economic field, the reliability of the model is important. But, the attractiveness of the model was more important in the environmental field. Second, it is effective to select a model with high value-relevance when selecting CSR advertising model. But, in the case of an expert, it is effective to select not only value addition, but also attractive and reliable models. Third, when producing CSR ads using emotional messages, it is important to consider the value and reliability of the advertising model. But, it is important to select the model considering the importance of the value and attractiveness of the advertisement model when producing the CSR advertisement using the informational message. It was found that it is very important to select a model that has a high relevance to the image of the social responsibility subject and the advertisement model when producing the social responsibility advertisement.

Development of Flipped Learning-based Educational Model for Vocational Education and Training (직업교육훈련을 위한 플립러닝 기반 교육모델 개발)

  • Wee, Young-eun;Jung, Hyojung;Lim, Jung-Yeon
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.37-46
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    • 2019
  • The purpose of this study is to develop a flipped-learning based education model for vocational education and training. Based on previous studies, we have developed a training model that includes definitions of flipped-learning, major learning activities, and operational strategies in each occupation. In addition, delphi surveys were carried out to confirm the validity of the educational model for HRD and vocational education and training specialists. Finally, the flipped-learning model for vocational education and training consists of three stages: Pre-learning, Main-learning, and Post-learning. Pre-learning stage include Online lectures, Simple tasks, Main-learning stage include Active learning and Coaching-Debriefing lecture, Post-learning stage includes Individual reflection-Additional task performance activities. The educational model developed through this study was developed with the focus on improving the linkage and the performance of the goal of vocational education and training.

A Building Method of Designing National Cyber Security Governance Model Through Diagnosis of Operational Experience (정보보안체계 운영경험 진단을 통한 국가 사이버보안 거버넌스 모델 연구 방법)

  • Bang, Kee-Chun
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.205-212
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    • 2018
  • This Study aims to propose a new information security governance model design method for streamlining security governance at national strategic level. The research method of this study is to diagnose our operational experience and to derive a new model design method. In the meantime, national information security activities were perceived to be focused on knowledge transfer, and motivation of activities and securing of executive power were weak. As a result, security blind spots and frequent occurrence of large security incidents have become unresolved challenges. National cyber security governance should be grouped together as a whole systematically from the upper policy to the lower level of performance under the responsibility of the national leader. Based on this approach, this study presented the comprehensive framework of Korean security governance model and embodied it into four architectural designs such as vision, goal, process, and performance, thus deriving the foundation for future national governance model design. Further research is needed to diagnose problems in life cycle flow, security policies based on environmental changes, and new frameworks in which all subjects participate.

Analysis of Startup Process based on Process Mining Techniques: ICT Service Cases (프로세스 마이닝 기반 창업 프로세스 분석: ICT 서비스 창업 사례를 중심으로)

  • Min Woo Park;Hyun Sil Moon;Jae Kyeong Kim
    • Information Systems Review
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    • v.21 no.1
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    • pp.135-152
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    • 2019
  • Recently there are many development and support policies for start-up companies because of successful venture companies related to ICT services. However, as these policies have focused on the support for the initial stage of start-up, many start-up companies have difficulties to continuously grow up. The main reason for these difficulties is that they recognize start-up tasks as independent activities. However, many experts or related articles say that start-up tasks are composed of related processes from the initial stage to the stable stage of start-up firms. In this study, we models the start-up processes based on the survey collected by the start-up companies, and analyze the start-up process of ICT service companies with process mining techniques. Through process mining analysis, we can draw a sequential flow of tasks for start-ups and the characteristics of them. The analysis of start-up businessman, idea derivation, creating business model, business diversification processes are resulted as important processes, but marketing activity and managing investment funds are not. This result means that marketing activity and managing investment funds are activities that need ongoing attention. Moreover, we can find temporal and complementary tasks which could not be captured by independent individual-level activity analysis. Our process analysis results are expected to be used in simulation-based web-intelligent system to support start-up business, and more cumulated start-up business cases will be helpful to give more detailed individual-level personalization service. And our proposed process model and analyzing results can be used to solve many difficulties for start-up companies.

Evaluating and Suggesting Business Models for the Knowledge-intensive Services Using AHP and BMC (AHP와 BMC를 활용한 중소기업의 핵심 지식서비스 평가 및 비즈니스 모델 제안)

  • Park, Sunyoung;Geum, Youngjung
    • Journal of Technology Innovation
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    • v.24 no.3
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    • pp.53-79
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    • 2016
  • Due to the rapid change of corporate environment of small and medium enterprises (SMEs), there is an increasing needs for the effective utilization of knowledge intensive services. Current knowledge intensive services for SMEs include various activities including venturing, R&D planning, R&D support, marketing, and networking. However, these activities are not differentiated according to the institutions that provides those services. In response, this study aims to explore and identify core knowledge intensive services, and specify the target knowledge service. The case study was conducted for the Divison of SMEs innovation in Korea Institute of Science and Technology Information (KISTI).

The Assessment Model of the Embedded Software Process Suitable for Korean Defense Industry (국방사업 특성을 고려한 무기체계 임베디드 소프트웨어 프로세스 평가모델(MND-ESPAM))

  • Kwon, Kyeong-Yong;Yang, Hae-Sul
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.271-281
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    • 2009
  • In this paper, we propose the enhanced Assessment Model of the Embedded Software Process(MND-ESPAM) which is suitable for the development work of weapons in Korea. In 2008. We developed the MND-ESPAM which is the assessment criteria of software process, but this model is inefficient to apply to Korean military area. Therefore, we elicit and analyze the problems of MND-ESPAM through tow methods. One is to research on the actual condition of the domestic defense industry about software process management. And the other is to apply MND-ESPAM to the defense companies acquiring CMMI level. In order to overcome these problems elicited above, we provide solutions to make MND-ESPAM linked with Software Development Process Guide of Defense Acquisition Program Administration(DAPA) and to systematically strengthen testing activities and to reduce the number of process areas. The proposed model was proved by two objective methods such as checking the coverage with CMMI and whether it is satisfied or not by modified requirements ISO/IEC 14598-3. At last, experts in the field of software process confirmed the effect of MND-ESPAM through applying MND-ESPAM to the defense industry company.

Analyze GPT sentence generation performance based on Image by training data capacity and number of iterations (학습 데이터 용량 및 반복 학습 횟수에 따른 이미지 기반 GPT 문장생성 및 성능 분석)

  • Dong-Hee Lee;Bong-Jun Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.363-364
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    • 2023
  • 현재 많은 사람이 GPT를 통해 다양한 활동 및 연구를 진행하고 있다. 사람들은 GPT를 통해 문장생성 시 문장에 대한 정확도를 중요하게 생각한다. 하지만 용도에 따라 GPT를 통해 생성하는 문장의 문체와 같은 표현방식이 다르다. 그래서 생성된 문장이 유의미한 문장이라는 것에 판단이 매우 주관적이기 때문에 수치적 평가가 어렵다. 본 논문에서는 자연어처리 모델이 생성한 문장의 유의미함을 판단하기 위해 각 모델을 학습하는 데이터 용량과 반복 학습의 횟수에 따른 결과물을 비교하였다. 본 연구에서는 Fine-Tuning을 통해 총 4개의 GPT 모델을 구축하였다. 각 모델로 생성 문장을 BLEU 평가지표를 통해 평가한 결과 본 연구에 BLEU 모델은 부적합하다는 결과를 도출하였다. 이를 해결하기 위해 본 연구에서는 생성된 모델을 평가하고자 설문지를 만들어 평가를 진행하였다. 그 결과 사람에게 긍정적인 평가를 받는 결과를 얻을 수 있었다.

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A Study on The Evaluation for Level of Information System Operation Management (공공부문 정보시스템 운영관리 수준 평가방안)

  • Jung, Seung-Ho;Hwang, Chong-Sun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.247-250
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    • 2005
  • 본 연구는 국내 공공부문 정보시스템 운영관리 수준을 측정할 수 있는 평가모델을 제시하였다. 이를 위해 국내외 선진사례, 관련 표준, 지침을 분석하여 공공부문 운영관리업무에 공통적으로 적용될 수 있는 11개 업무 분석영역을 도출하였고 각 업무영역의 평가를 위한 평가기준을 제시하였다. 그리고 이를 토대로 공공부문 운영관리 업무에 대한 수준을 측정할 수 있는 평가방안을 제시하였다. 본 연구에서 제시된 평가모델은 특정 이슈 발생시 일부 중앙부처의 요구에 따라 공공기관들을 대상으로 행하여진 단편적인 운영수준 점검 분석 활동들이 국내 실정에 맞게 운영업무 전반에 대한 종합적, 체계적 수준평가를 할 수 있는 기반을 제공하게 하였으며, 기관 내부적으로도 자체평가를 통해 운영관리업무 성숙도 제고를 위한 핵심요소를 손쉽게 식별하고 효율적인 품질향상 활동을 수행할 수 있게 하였다.

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A Residual Ionospheric Error Model for Single Frequency GNSS Users in the Korean Region (한국지역에서의 단일주파수 GNSS 사용자를 위한 전리층 잔류 오차 모델 개발)

  • Yoon, Moonseok;Ahn, Jongsun;Joo, Jung -Min
    • Journal of Advanced Navigation Technology
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    • v.25 no.3
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    • pp.194-202
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    • 2021
  • Ionosphere, one of the largest error sources, can pose potentially harmful threat to single-frequency GNSS (global navigation satellite system) user even after applying ionospheric corrections to their GNSS measurements. To quantitatively assess ionospheric impacts on the satellite navigation-based applications using simulation, the standard deviation of residual ionospheric errors is needed. Thus, in this paper, we determine conservative statistical quantity that covers typical residual ionospheric errors for nominal days. Extensive data-processing computes TEC (total electron content) estimates from GNSS measurements collected from the Korean reference station networks. We use Klobuchar model as a correction to calculate residual ionospheric errors from TEC (total electron content) estimate. Finally, an exponential delay model for residual ionospheric errors is presented as a function of local time and satellite elevation angle.