• 한국IT서비스학회지
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• 제12권3호
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• pp.389-404
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• 2013

Geospatial information, which is one of social overhead capital, is predicted as a core growing industry for the future. The production of geospatial information requires a huge budget, so it is very important objective of the policy for geospatial information to prevent the duplication of geospatial projects. In this paper, we proposed a semantic search system which extracts possible duplication of geospatial projects by using ontology for geospatial project administration. In order to achieve our goal, we suggested how to construct and utilize geospatial project ontology, and designed the architecture and process of the semantic search. Moreover, we showed how the suggested semantic search works with a duplicated projects search scenario. The suggested system enables a nonprofessional can easily search for duplicated projects, therefore we expect that our research contributes to effective and efficient duplication review process for geospatial projects.

• 패션비즈니스
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• 제18권3호
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• pp.14-28
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• 2014

The purposes of this study are to provide comprehensive reviews on multichannel consumer behaviors published in peer-reviewed academic journals from 2005 to 2014, to develop a conceptual framework that demonstrates multichannel determinants such as psychographics, demographics, social influences, and situational factors on consumers' search and purchase behavior based on customers' profits or costs judgment, and to provide possible direction for future research in multichannel consumer behavior. Three steps were taken in the process of analyzing consumers' channel determinants presented in the 37 studies, and 12 most frequently used factors that appear in the studies were extracted. These factors include convenience, service, trust/risk, saving money, product knowledge, experience, efficacy/usefulness, involvement, shopping environment/situation factors, demographics, product types, and social influence. With 12 determinants of multichannel consumers' search and purchase behavior, a conceptual framework was proposed based on expectancy theory. The directions for future research were also discussed.

• 한국사회복지학
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• 제62권3호
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• pp.353-374
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• 2010

본 연구의 목적은 노인의 컴퓨터 이용과 사회활동참여 간의 관계를 규명하는 것이다. 구체적으로는 노인의 컴퓨터 이용실태 파악, 이용형태의 유형화를 거쳐, 컴퓨터 이용형태가 사회활동참여에 미치는 효과를 검토하고, 사회활동 종류별 분석을 통해 컴퓨터 이용이 갖는 사회적 속성을 파악하고자 하였다. 이를 위해"2009년 부산광역시 노인복지 실태 및 욕구조사"자료를 활용하였으며, 65~74세의 전기노인 1,464명을 연구대상으로 설정하였다. 연구 결과는 다음과 같다. 1) 컴퓨터 이용용도를 토대로, 노인 컴퓨터 이용자는 "정보탐색/취미형", "취미형", "정보탐색/의사소통형"의 3타입으로 유형화되었다. 2) 사회활동참여에 대한 노인의 컴퓨터 이용여부의 효과는 긍정적인 것으로 나타났다. 3) 컴퓨터 이용유형 가운데 "정보탐색/의사소통형"이 다른 유형에 비해 더 적극적으로 사회활동에 참여하는 것으로 나타났다. 4) 사회활동별 분석을 통해, 다른 유형에 비해 "정보탐색/의사소통형"은 사회적 관계망의 유지 및 확대를 지향하고, 조직적, 사회적 이익을 추구하려는 사회활동에 더욱 적극적으로 참여하는 것으로 나타났다. 본 연구의 결과는 노년기 컴퓨터 이용이 사회관계적 함의를 지니며, 궁극적으로는 사회활동참여를 통한 노년기 적응을 높이는데 일조할 수 있음을 시사한다.

• 산경연구논집
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• 제12권1호
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• pp.7-13
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• 2021

Purpose: Unemployment in its general form is a result stemming from the decisions of workers to search for a new and better paying job. In this study, the view that unemployed workers were not simply desiring any job, but one that would maximize their expected future outcome, was examined. Research design, data, and methodology: In order for collection of data and analysis, the panel dates of individual applications for job openings on job search websites were utilized to examine search effort and period for individuals. Results: It was found that the number of applications sent by a job seeker declined over their period of job searching, and that job seekers over a long duration of time tend to send relatively more applications per week throughout their entire search period. The latter finding contradicts the implications of the standard labor search effort models. Conclusions: It can be observed that these job search models fail to capture several key elements in search efforts, and that the search time for an offer is not entirely predetermined by the labor market conditions and socio-economic (individual) characteristics of the searcher. It can be shortened as he or she intensifies their job search efforts.

• 한국콘텐츠학회논문지
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• 제21권2호
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• pp.301-314
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• 2021

청년실업은 인적자원의 낭비와 국가 경제력 약화 등을 야기하는 전세계적인 경제 이슈이다. 구직효능감을 통해 적극적인 구직활동과 구직성과를 예측할 수 있다. 이에 본 연구에서는 Neuman의 systems model을 근거로 청년실업자의 구직효능감에 영향을 미치는 요인을 확인하였다. 연구 결과, 청년구직자의 구직효능감에는 구직기간, 취업스트레스, 문제중심대처능력 등이 영향을 주고 있었으며, 특히 신체적으로 건강하다고 인지할수록 구직에 대한 효능감이 높게 나타났다. 따라서 청년구직자의 구직효능감을 증진하기 위해서는 청년들을 위한 사회적 제도 마련 뿐만 아니라, systems model에 기반하여 개인 체계 내에서의 정상방어선인 문제중심 대처능력을 최적화하고 저항선인 신체적 건강상태를 최상으로 유지할 수 있는 중재방안을 모색하는 것이 필요하리라 본다.

• 지식경영연구
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• 제19권2호
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• pp.21-45
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• 2018

With the widespread use of smartphones and the development of information technology, an online service called SNS(social network service) has emerged, and as an increasing number of people began to use SNS, extensive research has been conducted on SNS. SNS is an important factor for adolescents who are developing social skills that help them to adapt to the society, and for adults who are stepping into the society. The present study investigates the effects of information search, self-disclosure, interaction, and playfulness, all of which are motivational factors for SNS use, on flow in SNS, and empirically analyzes the degree of these variables influence according to flow in SNS and individual's personal nature(extrovert, introvert). The analysis results showed that information search, self-disclosure, interaction, and playfulness were positively correlated with flow in SNS, and flow in SNS was positively correlated with social skills. The degree of influence varied depending on the individual's personal nature(extrovert, introvert). These findings may provide important insights for researchers studying SNS, SNS managers, and company officials using SNS.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.378-384
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• 2023

In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.

• 한국학교수학회논문집
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• 제8권3호
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• pp.343-356
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• 2005

본 연구는 수학적 신념에 대한 검사지를 활용한 조사연구와 수학 교실 비디오 촬영을 통해 수학 교실에 새로운 사회적 규범이 형성되었을 때 수학적 신념의 변화가 일어나는지 알아보고 수학 교실의 문화 분석을 통해 학생들의 수학적 신념에 영향을 주는 수학 교실의 사회적 규범을 찾고자 하였다. 연구 결과는 일반적인 사회적 규범에만 초점을 두는 수업으로는 학생들의 수학적 신념을 변화시키기에 충분하지 않았다. 또한 수학 교실의 문화분석을 통해 살펴본 수학 교실의 사회수학적 규범은 학생들의 수학적 신념에 영향을 미쳤다.

• 대한한의학원전학회지
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• 제25권4호
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• pp.105-113
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• 2012

Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

• 지식경영연구
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• 제22권4호
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• pp.1-26
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• 2021

무형자산의 가치에 대한 중요성이 대두되면서 이를 측정하는 것에 관한 다양한 연구가 진행되었다. 그러나 미디어 산업의 빠른 성장에도 불구하고 해당 산업 내 캐릭터 가치를 정량적으로 평가하는 데 많은 어려움이 존재한다. 최근에는 소셜 네트워크 분석 (Social Network Analysis) 방법론이 미디어 사용자의 행태를 분석하는 데 유용하게 활용되고 있다. 본 연구는 SNS 데이터를 통하여 미디어 작품의 캐릭터 네트워크 특징과 인간의 검색 행위 사이의 상관 관계를 분석하였다. 분석 결과 미디어 작품의 캐릭터 네트워크 중심성 척도와 검색 데이터 간 유의미한 상관 관계 및 인과성이 확인되었다. 본 연구 결과는 캐릭터 네트워크가 캐릭터 자산의 가치평가를 위한 단서로서 활용될 수 있음을 시사한다.