• Asia pacific journal of information systems
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• 제11권4호
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• pp.99-111
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• 2001

The prediction of stock price index is a very difficult problem because of the complexity of stock market data. It has been studied by a number of researchers since they strongly affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network(BPN). Finally, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.108-118
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• 2021

This paper aims to presents the overview of research in the sustainable smart cities development domain. It investigates the key challenges of the sustainable smart cities development that faced by the developers from different countries. The qualitative research method via the interview is conducted to collect the data. 10 experts on the sustainable smart cities development project were interviewed in this study. The results indicate that there are 12 sustainable smart cities development challenges named: (1) budgetary constraint; (2) lack of resources; (3) lack of institutional capacity to deliver technology; (4) lack of systems integration; (5) social acceptability; (6) lack of awareness level in the smart city development among residents; (7) the need to drive towards content development; (8) lack of strategically approach in the smart city transformation; (9) disagreement on standardizing the smart city model; (10) lack of overarching institution to create the governance structure; (11) lack of sustainable focused strategies; and (12) lack of the smart city operational framework. Furthermore, the solutions framework for these challenges was proposed as the guidelines to overcome or minimize them.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.181-187
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• 2021

The purpose of this study is to examine empirically the short- and long-run determinants of entrepreneurial activity in a sample of 15 the Middle East and North African economies between 2006 and 2018. More specifically, four groups of determinants are considered in the analysis, namely economic, demographic, business environment, and institutional. Given the autoregressive feature of the entrepreneurial activity process, a dynamic panel data model is estimated using the system GMM estimator. Findings reveal that unemployment, trade openness, population density, and economic freedom are the main drivers of new business creation in the short-run, while the cost and number of procedures to start a new business negatively affect entrepreneurship. In the long-run, the same findings hold true. Moreover, education and political stability and the absence of violence/terrorism positively affect entrepreneurial activity. Policy recommendations are accordingly designed.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.383-390
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• 2021

The main purpose of the study is to determine the features of the functioning of the university as a part of the state structure in the context of marketing management n the context of storing information technologies. Students were obtained due to the following theoretical methods: systems of analysis and synthesis, induction and deduction, comparison, classification, generalization and systematization, idealization and abstraction. It is advisable to study the essence and nature of educational services, as well as the role of education in economic development, relying on the methodology of institutional theory, the theory of stakeholders, which makes it possible to assess the contribution of education to the harmonization of public and individual interests, the formation of appropriate structures and subjects of development, ensuring the building of intellectual potential and quality of life. The specificity of the functioning of the university as a part of the state structure in terms of managing marketing activities was characterized.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.107-112
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• 2023

World is moving towards digitization at a rapid pace, so the enterprises have developed information systems for management of their business. Empowering educational institutes with information systems are become very important and vital. Doing everything manually is very difficult for students, teachers and staff. Information system can enhance their efficiency and save a lot of time; this research proposed system will solve this issue by providing services like class room reservation, e-library facility, online submission etc. in a secured environment. Up till now limited attention has been paid to utilize robots and drones for automation inside educational institutes. Our proposed system incorporates robots and drones to fill this gap in automation being used in institutes. Through this research, the aim is to improve the efficiency of learning and services in educational institutions or universities.

• 한국콘텐츠학회논문지
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• 제12권5호
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• pp.393-403
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• 2012

이 연구의 목적은 사회체육지도자의 사회연결망과 직업성취의 관계를 규명하는데 있다. 이러한 연구목적을 달성하기 위하여 이 연구에서는 2011년 서울 소재 스포츠시설업에 재직하고 있는 사회체육지도자를 모집단으로 설정한 다음, 유의표집법을 활용하여 총 240명을 표집하였다. 그러나 최종 분석에 사용된 사례수는 203명이었다. 설문지의 타당도 및 신뢰도는 전문가회의를 통한 내용타당도와 신뢰도 분석을 통한 Cronbach's ${\alpha}$ 방법을 통해 검증하였다. Chronbach's ${\alpha}$값은 .674이상으로 나타났다. 자료처리는 SPSSWIN 18.0을 활용하여 로지스틱회귀분석과 회귀분석을 실시하였다. 결론은 다음과 같다. 첫째, 남성일수록, 취업횟수가 많을수록, 그리고 연령이 많을수록 개인적 연결망을 활용하여 취업하는 경향을 보이고 있다. 둘째, 사회연결망은 직업성취에 영향을 미친다. 즉, 개인적 연결망보다는 제도적 연결망을 활용한 취업자일수록 임금만족도는 높으며, 개인적 연결망과 제도적 연결망을 활용한 취업자일수록 학력적합도는 높다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.117-122
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• 2021

In order to reveal the co-research relationship with key research institutes in the computer field in Korea, which have high competitiveness in the ICT field, this paper analyzes the co-author network of research institutes based on the papers of Korean journals. For this study, 15 computer journals published in Korea were selected and collected for the past 5 years. In addition, authors, affiliated institutions, and country information were extracted from the papers, and experimental data were produced using institutional identification data and SNA analysis techniques. Through this, statistical analysis was performed on researchers, research institutes, and countries, and the centrality of research institutes was measured through co-authored network analysis and visualized as a map. The results of the research that analyzed the co-author relationship based on the papers in computer science journals published in Korea are as follows. First, the status of co-author relations among researchers was statistically analyzed in detail. The number of authors, the number of co-authors, and statistics by co-authoring countries, as well as the ratio of co-authored research by institution and the ratio of co-authored by country were revealed. The co-authoring status of papers in English journals was analyzed separately to compare and analyze characteristics. Second, the centrality of each individual was measured through the co-authored network analysis of the identified researchers, institutions and countries affiliated with the institution, and the frequency of connection between data by level was identified. In addition, the co-authorization network between research institutes was visualized and presented as a map so that the overall view of the co-authoring network was presented, and the connection frequency between the institutes was checked. It is possible to recommend a research partner based on the co-authoring behavior of Korean computer researchers and the co-authoring relationship between major research institutes. For this, additional research is needed to analyze the subject areas of each institution.

• 한국사회복지학
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• 제66권2호
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• pp.287-317
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• 2014

본 연구는 일본, 홍콩, 한국의 사회적기업의 지원체계와 지원방법을 비교분석하여 한국 사회적기업의 지속가능한 성장과 장기적인 활성화를 위한 정책 제안을 제시하는 것이다. 선행연구 검토를 통하여 분석틀을 도출하여 비교분석한 결과, 사회적기업 지원체계는 한국이 제도적으로 잘 확립되어 있으나 중간지원조직과 관련 조직 네트워크의 연계와 협력이 다른 국가에 비해 약한 것으로 분석되었다. 이에 비해 일본은 중간지원조직과 관련 조직 네트워크가 매우 긴밀하게 연결되어 협력하고 있어 사회적기업 활동들을 주로 하고 있는 NPO들의 성과와 지속가능성이 매우 높은 것으로 평가되었다. 홍콩의 경우는 민간부문에서 자생적으로 형성되고 발전한 사회적기업 지원을 위한 중간지원조직과 관련 조직 네트워크가 매우 활발하고, 최근 정부의 정책적 지원이 뒷받침되고 있기 때문에 사회적기업이 발전 가능성이 매우 큰 것으로 평가된다. 그리고 지원방법에 있어서 한국은 직접적 재정지원에 주력하고 있는데 비해 일본과 홍콩은 간접적 재정지원에 주력하고 있고, 3개국 모두 사업(경영)지원을 활발하게 하고 있는 것으로 분석되었다. 따라서 이러한 연구결과를 토대로, 한국 사회적기업의 지속가능한 성장을 위하여, 협력 및 네트워크 활성화, 간접지원 강화, 중간지원조직 활성화를 통한 사회적기업 생태계 조성의 방향으로 정부정책을 선회할 것을 제언하였다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
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• pp.427-436
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• 2000

The prediction of stock price index is a very difficult problem because of the complexity of the stock market data it data. It has been studied by a number of researchers since they strong1y affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain Intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network (BPN). Fina1ly, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.

• 지식경영연구
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• 제13권1호
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• pp.13-24
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• 2012

Unlike the traditional belief that knowledge flows along the formal reporting procedures, recent social network research has reported the importance of informal social networks which may play a critical role as the real knowledge conduits. In fact, as a complementary approach of utilizing knowledge management systems (KMSs), many firms have focused on managing informal knowledge flow through which to acquire and transfer valuable knowledge in a fast and effective way. In a case of global companies that have newly developed foreign branches or subsidiaries, due to cultural or institutional differences and lack of understanding of knowledge management and its benefits, they often have difficulties in activating knowledge sharing in local branches. In these situations, diagnosing organizational knowledge flow through SNA can be a first step to solve the problems. Therefore, in this paper, I report on the result of case study on a foreign branch of "A" global company by identifying organizational knowledge paths. Based on the results of the diagnosis, some implications and insights for building knowledge management (KM) strategy specified for a newly developed foreign branch will also be discussed.