• Title/Summary/Keyword: Technology relevance analysis

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Prioity Setting of Construction Technology in Korea Based on Technology Relevance Analysis (기술연관분석에 의한 건설기술과제의 우선순위결정)

  • Hong, Soon-Ki;Bark, Pyeng-Mu
    • Journal of Korean Institute of Industrial Engineers
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    • v.24 no.1
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    • pp.95-103
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    • 1998
  • This paper deals with technology relevance analysis, which measures technological dependency between needs technology and its component technology as well as between needs technologies. The two-round survey was carried out: In the first round, a wide range of needs technologies in construction and building industry were identified and classified to meet a variety of social needs which were anticipated in the near future of Korea. In the second, relevance between needs technology and its component technologies was checked by some 120 experts. Based on the survey results, the individual relevances among needs technologies were computed. Finally the ranking of needs technologies in construction industry was set according to the degree of technology relevance. This relevance is to be used as one of criteria for the selection of national R&D projects which the Ministry of Construction and Transportation plans to promote in the next five years.

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Beyond Categories: A Structural Analysis of the Social Representations of Information Users' Collective Perceptions on 'Relevance'

  • Ju, Boryung;O'Connor, Daniel O.
    • Journal of Information Science Theory and Practice
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    • v.1 no.2
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    • pp.16-35
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    • 2013
  • Relevance has a long history of scholarly investigation and discussion in information science. One of its notable concepts is that of 'user-based' relevance. The purpose of this study is to examine how users construct their perspective on the concept of relevance; to analyze what the constituent elements (facets) of relevance are, in terms of core-periphery status; and to compare the difference of constructions of two groups of users (information users vs. information professionals) as applied with a social representations theory perspective. Data were collected from 244 information users and 123 information professionals through use of a free word association method. Three methods were employed to analyze data: (1) content analysis was used to elicit 26 categories (facets) of the concept of relevance; (2) structural analysis of social representations was used to determine the core-periphery status of those facets in terms of coreness, sum of similarity, and weighted frequency; and, (3) maximum tree analysis was used to present and compare the differences between the two groups. Elicited categories in this study overlap with the ones from previous relevance studies, while the findings of a core-periphery analysis show that Topicality, User-needs, Reliability/Credibility, and Importance are configured as core concepts for the information user group, while Topicality, User-needs, Reliability/Credibility, and Currency are core concepts for the information professional group. Differences between the social representations of relevance revealed that Topicality was similar to User-needs and to Importance. Author is closely related to Title while Reliability/Credibility is linked with Currency. Easiness/Clarity is similar to Accuracy. Overall, information users and professionals function with a similar social collective of shared meanings for the concept of relevance. The overall findings identify the core and periphery concepts of relevance and their relationships in terms of coreness, similarity, and weighted frequency.

Selection of the Strategic R&D Field Satisfying SMEs' Specific Needs by Technology Relevance/Cluster Analysis (기술연관분석을 통한 중소기업형 전략적 기술개발과제의 우선순위 도출)

  • 고병열;홍정진;손종구;박영서
    • Journal of Korea Technology Innovation Society
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    • v.6 no.3
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    • pp.373-390
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    • 2003
  • With limited resources, proper allocation of the national R&D budget is very crucial matter for reinforcing the national competence, and the importance of selecting strategic R&D fields have been increasingly emphasized by technology policy-makers and CTOs. This paper deals with technology relevance/cluster analysis, which measures technological dependency and relevancy among technologies, and how it can be used for selecting the strategic R&D fields especially satisfying SMEs(small and medium enterprises)' specific needs. As a result of this study, technology-product tree composed of 7 major technology fields, 22 clusters, 41 groups, 335 core-need technologies and hundreds of related business items are produced that can be used for designing SMEs' R&D/business portfolio as well as R&D investment decision-making of the Ministry of Small and Medium Business Administration.

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Analysis of Relevance between Career Orientations and Job Characteristics of AIS User (AIS 사용자의 경력지향과 직무특성간의 관련성 분석)

  • Lim, Kyu-Chan
    • The Journal of the Korea Contents Association
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    • v.6 no.11
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    • pp.15-24
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    • 2006
  • To achieve this study, this study divide career orientations of AIS user into technology and management and group job characteristics into variety and autonomy and is to verify an effect of two factors on system performance (AIS satisfaction and use). The results of this study are as follows. First, there is a positive effect of the relevance between technology orientation and autonomy on AIS satisfaction. Second, there is a positive effect of the relevance between management orientation and job variety on AIS satisfaction. Third, there is a positive effect of the relevance between technology orientation and autonomy on AIS use, and finally, there is no positive effect of the relevance between management orientation and job variety on AIS use.

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A Empirical Study on the Relevance of Technology Finance Supporting Business for Technologically Innovative SMEs (혁신형 중소기업 기술금융 지원사업의 적절성에 대한 실증연구)

  • Sung, Oong-Hyun
    • Journal of Korea Technology Innovation Society
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    • v.16 no.1
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    • pp.303-322
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    • 2013
  • A relevance of supporting business of technology financing for technologically innovative SMEs is strongly required for its continuous expansion and development. This study analyzes empirically whether the selection of recipient firms from technology financing have been performed in accordance with its objectives and purposes. Results show that the probability of receiving technology financing is more likely to increase with higher technology rankings and higher operating income ratio. On the other hand, the probability of obtaining financing might be decreased gradually, as the size of capital and age of the firm are increasing. Results also show that technology rankings and firm's major characteristics are found to affect significantly on the decision-making of technology financing. Several useful comments are suggested to improve the relevance of the technology financing since the correct classification rate, which explains the appropriateness of the model, is not at high level. In addition, technology rankings are not uncorrelated with the amount of financing in regression analysis. These research results will contribute to ensure the appropriateness and credibility of the technology financing decision-making.

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Relevance-Weighted $(2D)^2$LDA Image Projection Technique for Face Recognition

  • Sanayha, Waiyawut;Rangsanseri, Yuttapong
    • ETRI Journal
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    • v.31 no.4
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    • pp.438-447
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    • 2009
  • In this paper, a novel image projection technique for face recognition application is proposed which is based on linear discriminant analysis (LDA) combined with the relevance-weighted (RW) method. The projection is performed through 2-directional and 2-dimensional LDA, or $(2D)^2$LDA, which simultaneously works in row and column directions to solve the small sample size problem. Moreover, a weighted discriminant hyperplane is used in the between-class scatter matrix, and an RW method is used in the within-class scatter matrix to weigh the information to resolve confusable data in these classes. This technique is called the relevance-weighted $(2D)^2$LDA, or RW$(2D)^2$LDA, which is used for a more accurate discriminant decision than that produced by the conventional LDA or 2DLDA. The proposed technique has been successfully tested on four face databases. Experimental results indicate that the proposed RW$(2D)^2$LDA algorithm is more computationally efficient than the conventional algorithms because it has fewer features and faster times. It can also improve performance and has a maximum recognition rate of over 97%.

A Study on the Value-Relevance of Intangible Expenditure: compare high-technology firms to low-technology firms (첨단산업과 비첨단산업의 무형자산성 지출의 가치관련성에 대한 비교연구)

  • Lee, Chae Ri
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.1
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    • pp.153-164
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    • 2014
  • This study is to investigate the effects of intangible assets such as research & development, education & training and advertisement on firm values of high-technology firms and low-technology firms listed in the KOSDAQ market, and to analyze the value-relativeness between the audit quality of companies and the expenditure of intangible assets. The substitute measurement of firm values is Tobin's Q model. The sample period for positive analysis is from 2003 to 2008, and the samples, excepting for financial business, are manufacturing companies of closing accounts corporate on December, based on companies of KOSDAQ that are listed in security. Finally, data from about 305 companies are used in this analysis. Followings are the results of the analysis. First, research & development, education & training of high-technology firms have an effect on firm values, and education & training of low-technology have an effect on firm values. Second, we find that audit quality(BIG4) increases the value relevance of R&D expenditures of high-technology firms and audit quality(BIG4) increases the value relevance of education & training expenditures of low-technology firms. This paper is meaningful in that it verified the value-relativeness of cost of intangible assets compared with high-technology firms to low-technology firms.

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The Effect of Job Satisfaction on the Major Satisfaction of Science and Engineering College Students According to Gender Differences (성별에 따른 이공계 전공교육만족이 일자리 만족에 미치는 영향)

  • Yoon, Jiyoung;Lim, Jungyeon
    • Journal of Engineering Education Research
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    • v.22 no.4
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    • pp.32-42
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    • 2019
  • This study is aim to the effects of job satisfaction on the major satisfaction of science and engineering college students and also analyzed the mediating effects of future outlook of job and major relevance in career choice. To do this, structural equation modeling(SEM) and multi-group SEM were applied to data from 2016 Graduate Occupational Mobility Survey(GOMS). In the results of this study, the major satisfaction, future outlook of job and major relevance were positive effects on job satisfaction and the mediating effects of future outlook of job and major relevance were verified. And results of analysis according to gender difference, the coefficient of woman was smaller than man. Among major satisfaction had a positive effect on job satisfaction, job satisfaction fell for women who value their relevance to the major when choosing a job. Based on such results, universities need to further strengthen their role in helping them enhance their expertise through skills and learning about their majors.

A Study on Gamification Consumer Perception Analysis Using Big Data

  • Se-won Jeon;Youn Ju Ahn;Gi-Hwan Ryu
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.332-337
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    • 2023
  • The purpose of the study was to analyze consumers' perceptions of gamification. Based on the analyzed data, we would like to provide data by systematically organizing the concept, game elements, and mechanisms of gamification. Recently, gamification can be easily found around medical care, corporate marketing, and education. This study collected keywords from social media portal sites Naver, Daum, and Google from 2018 to 2023 using TEXTOM, a social media analysis tool. In this study, data were analyzed using text mining, semantic network analysis, and CONCOR analysis methods. Based on the collected data, we looked at the relevance and clusters related to gamification. The clusters were divided into a total of four clusters: 'Awareness of Gamification', 'Gamification Program', 'Future Technology of Gamification', and 'Use of Gamification'. Through social media analysis, we want to investigate and identify consumers' perceptions of gamification use, and check market and consumer perceptions to make up for the shortcomings. Through this, we intend to develop a plan to utilize gamification.

An Application of Technology-product Relevance Analysis to Telecommunication Equipment Industry (기술연관분석의 정보통신산업에의 응용사례)

  • Ji, Gyeong-Yong
    • Electronics and Telecommunications Trends
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    • v.12 no.2 s.44
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    • pp.64-78
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    • 1997
  • 종래의 산업연관분석은 산업과 기술의 관계에 대한 명확한 해답을 줄 수 없었다. 그러나 OECD에서 최초로 연구한 기술연관분석은 산업과 기술의 관계를 경제학적으로 설명함으로써 기술에 대한 경제정책적 응용을 가능하게 하였다. 본 고는 일본과학기술정보센터(Japanese Information Center for Science and Technology:JICST)의 자료에 기초하여 기술연관분석을 응용한 일본의 연구사례로서 앞으로 그 활용이 기대되고 있다.