• Title/Summary/Keyword: 개인 속성

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A Study on the Evaluation of Culinary Major Selection Attributes Using IPA (IPA를 활용한 조리전공 선택속성 평가에 관한 연구)

  • Yang, Hyun-Kyo;Koo, Kyung-Won
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.417-425
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    • 2021
  • This study was conducted to evaluate the characteristics of major selection of college students majoring in culinary. By conducting an Importance-Performance Analysis(IPA) through students who are currently majoring in a culinary major, it is intended to increase student satisfaction, student loyalty, the enrollment rate and to present the direction the college should pursue. The questionnaire was conducted for 4 weeks from June 22, 2020 to July 19, 2020, the results are as follows. As a result of the t-test (paired sample t-test) for 23 attributes, the average value of importance was 4.0765, the average value of satisfaction was 3.5091, showing high importance, the attributes considered important by item were 'educational facilities (4.50)', 'school welfare (4.50)', the attributes having the highest satisfaction with experience after selecting a major were 'aptitude and conformity (3.94)', 'future hope and concordance (3.91)'. The IPA analysis results on the major selection attributes of college students majoring in culinary are as follows. First, In the first quadrant, 11 attributes including 'aptitude and conformity' appeared, Second, In the second quadrant, 5 attributes including 'employment support' appeared. Third, In the third quadrant, 5 attributes including 'college scholastic ability score' appeared, Finally, In the fourth quadrant, 2 attributes including 'experience in major field' appeared.

Analyzing Government Policy Frameworks for Promoting Adoption and Diffusion of IPTV Services (IPTV 서비스의 수용과 확산을 위한 정부 정책 프레임워크 분석)

  • Seo, Hyun-Sik;Kim, Jun-Ho;Lee, Bong-Gyou
    • Journal of Internet Computing and Services
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    • v.11 no.5
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    • pp.37-58
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    • 2010
  • This study analyzes appropriate government policy frameworks for promoting IPTV industry by studying the way of adoption and diffusion of IPTV services. Until recently, most researches on government policies for technology adoption have focused on the personal context. This research adopts two theories, i.e., innovation characteristics theory for personal context and implementation process theory for organizational context. It also hypothesizes that the innovation characteristics more influence on the behavioral intention for usage new media in the level of personal innovativeness is high. Moreover, in the level of expectancy for diffusion policy is high, the implementation of IPTV services more influences on the behavioral intention. The results by statistical analysis, it is found that the higher the level of personal innovativeness is, and the higher the level of expectancy for diffusion policy is, the more behavioral intention will be influenced by the characteristics of innovation and implementation of IPTV service. Thus it is important for government agencies to find the way to facilitate personal innovativeness as well as expectancy for diffusion policy.

A Study on Walking Analysis and Disease Prediction with Decision Tree (의사결정나무를 통한 걸음걸이 분석 및 질병 예측에 관한 연구)

  • Kim, Young-Jae;Yoo, Kwan-Hee;Nasridinov, Aziz
    • Annual Conference of KIPS
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    • 2017.04a
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    • pp.822-825
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    • 2017
  • 본 연구는 키넥트를 통해 사람의 걸음걸이를 측정하고 의사결정트리(Decision Tree)를 통해 분석함으로써 현재의 걸음걸이를 통해 측정자의 허리 또는 무릎에서 발생할 가능성이 높은 문제 또는 질병들을 예측하고 해당결과를 측정자에게 알린다. 본 연구를 진행하며 첫 번째 단계에서는 관련 논문이나 병원 자료 결과들을 통해 판별할 속성들을 정하였다. 두 번째 단계에서는 키넥트를 통해 측정한 실제 데이터를 적용하기에 앞서 첫 번째 단계에서 정한 속성들이 측정자의 문제 또는 질병들을 판단해내는 연관 정도가 높은지 테스트 데이터를 이용하였고 의사결정나무를 통해 분석하였다. 그 결과 7개의 속성 중 6개로 약 85.7%정도의 연관이 있었다. 마지막 세 번째 단계에서는 판별식을 세우고 실제 데이터들을 쌓아나가며 69명의 측정한 데이터를 분석한 결과 6개의 속성 중 5개의 속성이 허리와 연관정도가 높았고 이는 두 번째 단계에서 나왔던 결과인 약85.7%에 가까운 약83%의 결과가 도출되었다. 이를 기반으로 시스템을 개발해 나가며 판별 정확도를 향상시키기 위해 계속 측정해 데이터를 쌓아가고 관련된 식들의 문제점을 보완하며 또한 어떤 환경에서 키넥트의 측정값의 정확도가 올라가는지 연구할 예정이다.

Destination Management Strategy Based on the Importance-Performance Analysis -A Case Study in Kangwon-do Province, Korea- (중요도-성취도 분석을 기초로 한 관광지 관리 방안에 관한 연구 -강원도 소재 관광지를 중심으로-)

  • 김정민
    • Korean Journal of Environment and Ecology
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    • v.17 no.3
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    • pp.276-284
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    • 2003
  • The purpose of this study is to develop effective destination management strategies for three typical tourist destinations in Kangwon province based on the importance-performance analysis. The results show that overall performance levels of 21 management attributes in three destinations is relatively low, compared to the importance levels of the attributes. 6 attributes place in Concentrate Here, 4 attributes in Possible Overkill, 6 attributes in Keep Up Good Work, and 5 attributes in Low Priority. There is no significant difference in the importance level among three destinations, while performance levels are the lowest at Naksan & Kyungpo beaches, and highest at Ganhyun area. Findings of the survey expect to be used as fundamentals in management policy making process for each destinations.

Identifying Differentiating Attributes of Local Coffee Shops in Daegu (대구 커피전문점의 시장 경쟁력 요인 도출 - 지역 자생 커피프랜차이즈 성공 요인을 중심으로 -)

  • Jeong, Jae-Won;Kim, Seung Gyu
    • Culinary science and hospitality research
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    • v.21 no.6
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    • pp.312-330
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    • 2015
  • Domestic coffee franchise market in South Korea has been rapidly growing along with developing the global coffee franchises as well as entering domestic franchise companies into the beverage market. Competitions in the markets are getting more accelerated and local franchises and owner-operated coffee shops are losing their market shares gradually as a result. Local franchises and owner-operated coffee shops in Daegu, however, are notable in that they are maintaining the competitiveness in the markets. This is a unique phenomenon, which deserves to be analyzed to identify the successful attributes as a case study. Important Performance Analysis (IPA) method has been employed for analyzing and its gap(i.e., difference between importance and performance) analysis shows that the price and quantity of coffee are the most important differentiating attributes of local and owner-operated coffee franchises in Daegu.

A Study on the Features of Selecting Mobile Shopping Malls Using IPA Metrics (IPA 매트릭스를 활용한 모바일 쇼핑몰 선택속성에 관한 연구)

  • Kim, Jong-ha;Kim, Kyung-hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2379-2386
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    • 2016
  • This study conducted an analysis using IPA metrics targeting college students to get strategic implications for marketing in the recently fast-growing mobile shopping market. The IPA analysis result about the selection of mobile shopping malls is as follows. First, out of the 21 features, 'reliability of the offered products(6.09)' had the highest level of importance and 'convenience of payment(5.29)' had the highest level of performance. Second, in the area of 'Doing great, Keep it up' 11 features were included such as 'convenience of payment' and 'reliability of the offered products'. Third, the feature that needed to be corrected in the area of 'Focus here' was 'shortening the waiting time for exchange, refund or warranty service'. Fourth, low priority areas in terms of importance and performance, there were 3 features including 'push/notification helps purchases'. Fifth, to the area of 'overdone' 4 features belonged such as 'variety in the type of products'.

A study on web site attribute of plastic surgery sites that many people visited - Comparisons with 2006, 2008, and 2010 (방문자가 많은 성형외과의 웹 사이트 속성 탐구 -2006년, 2008년, 2010년의 비교)

  • Cho, Yeong Bin;Lee, Seok Kee
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.147-152
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    • 2013
  • Now, plastic surgery has become the industry for beauty. In order to know the characteristics of high-visit web sites that many people have visited, 33 high visit websites of plastic surgery were compared to 60 benchmark sites of same industry. We selected 34 web site attributes that can be measured objectively from existing studies. For analysis, Multiple Discriminant Analysis(MDA) is conducted for searching what attributes divide two group definitely. The result of this study shows the dividing attributes fall into 2 categories like 'Community', 'Up to date'. Thus, we are able to conclude that high-visit plastic surgery web sites are community-centric site but not contents-centric and are maintained with tide up to date. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

How different is a web site that many people visit?-focused on the Plastic Surgery Websites in Korea (많은 사람이 방문하는 웹 사이트는 무엇이 다를까? - 2011년 성형외과 웹 사이트의 경우 -)

  • Cho, Yeong-Bin;Kim, Chae-Bogk
    • Management & Information Systems Review
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    • v.32 no.1
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    • pp.43-62
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    • 2013
  • In order to know the characteristics of high visit web sites that many people have visited, 37 high visit websites of plastic surgery were compared to 69 benchmark sites of same industry. We selected 36 web site attributes that can be measured objectively from existing studies and composed the data set of 36 attributes multiplied by 106 websites. For analysis, Multiple Discriminant Analysis(MDA) and Decision Tree Technique are conducted for searching what attributes divide two group definitely. The result of this study shows the dividing attributes fall into 3 categories like 'Community', 'Mobile', 'Up to date'. Thus, we are able to conclude that high visit plastic surgery web sites are community centric site but not contents centric, response a change to mobile environment rapidly and are maintained with tide up to date. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

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Template-based Knowledgebase Design and Construction using Conditional Random Fields in Encyclopedia Domain (CRF를 이용한 백과사전 도메인의 템플릿 기반 지식베이스 설계 및 구축)

  • Wang Ji-Hyun;Lee Chang-ki;Kim Hyeon-Jin;Jang Myung-Gil
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.484-486
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    • 2005
  • 본 논문은 백과사전 도메인의 지식베이스 설계 및 통계기반 정보추출 방법을 이용한 속성정보 인식에 대하여 기술한다. 층 13개 카테고리로 구성된 백과사전에 대해 99개의 템플릿과 285개의 속성을 정의하였으며, 각 표제어의 추출 대상인 속성정보는 표제어를 설명하는 본문에서 통계기반 기계학습모델인 CRF(Conditional Random Fields)를 적용하여 추출하였다. 백과사전 카테고리 별로 균일하게 선정된 4천 5백 문서를 학습에 사용하였고 테스트 문서셋 500문서에 대해 속성인식률을 측정하였다. 성능 평가한 결과, $F1\;55.76\%\;(P\;74.89\%,\;R\;44.42\%)$의 성능을 나타내었다.

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Design of Mobbing Value Computation Algorithm and Classification Model based on Social Network (Social Network 기반 Mobbing 지수 산정 알고리즘 및 분류 모델 설계)

  • Kim, Guk-Jin;Park, Gun-Woo;Lee, Sang-Hoon
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.352-355
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    • 2009
  • 본 논문에서는 Mobbing(집단 따돌림) 현상에 관련된 7개의 요소(Factor)와 그 하위에 포함된 60개의 속성(Attribute)들을 선정한다. 다음으로 선정한 속성들에 대해 나와 사용자들 사이에 관계가 있으면 '1', 관계가 없으면 '0'으로 표현하고, 나와 사용자들간의 유사도 산정을 위해 각 요소안에 포함된 속성들의 합에 유사도 함수를 적용한다. 다음으로 클레멘타인의 인공신경망 알고리즘을 통해 속성들을 포함한 요소들이 취할 최적의 가중치를 산출하고, 이 값들의 총합으로 Mobbing 지수를 산정한다. 마지막으로 Social Network 사용자들의 Mobbing 지수를 본 논문에서 설계한 G2 Mobbing 성향 분류 모델(4개의 그룹; Ideal Group of the Social Network, Bullies, Aggressive victimes, Victimes)에 매핑하여 사용자들의 Mobbing 성향을 알아본다.