• Title/Summary/Keyword: On-line Survey

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Comparison of Knitwear Preference and Buying Behavior in Their 20's Male and Female - Focused on Gender and the Times - (20대 남녀 소비자의 니트웨어 구매 행동과 선호도 비교 - 성별과 년도를 중심으로 -)

  • Lee, Young-Ju
    • Journal of the Korea Fashion and Costume Design Association
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    • v.15 no.4
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    • pp.29-45
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    • 2013
  • The purpose of this study is to provide base line data required to establish a viable knitwear marketing strategy targeting young people by comparing and analyzing preference and buying behavior of customers in their twenties. A survey was conducted in 2009 and 2013 on people in their 20's male and female living in Busan. The total of 362 people participated in the survey and the results are as follows: Firstly, the seeking factors for knitwear were utilization factor, functionality factor, care for clothing factor, economics factor and vogue factor. Secondly, a differentiated marketing strategy targeting 20-something customers needs to be established as there was a steep rise in the number of customers purchasing clothes on online shopping malls using smart phone devices according to the survey.'Low-price, broad-line strategy'is also required as those surveyed preferred stores offering a wide choice of designs with reasonable price. Considering the survey results that a growing number of people tended to buy a variety of knitwear items regardless of the seasons, knitwear production needs to be diversified in terms of designs and materials. Thirdly, the survey revealed that pastel-colored knitwear was preferred for spring/summer season whereas knitwear with achromatic colors was voted the most-preferred one during the autumn and winter season. In terms of knitwear shapes, the gap between genders continues to narrow and tendency sensitive to fashion trend became more apparent reflecting the change of the times.

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Topic and Survey Methodological Trends in 'The Journal of Information Systems' ('정보시스템연구'의 연구주제와 서베이 방법론 동향분석)

  • Ryoo, Sung-Yul;Park, Sang-Cheol
    • The Journal of Information Systems
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    • v.27 no.4
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    • pp.1-33
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    • 2018
  • Purpose The purpose of this study is to review topic and survey methodological trends in 'The Journal of Information Systems' in order to present the practical guidelines for the future IS research. By attempting to conduct a meta-analysis on both topic and survey methodological trends, this study could provide researchers wishing to pursue this line of work further with what can be done to improve IS disciplines. Design/methodology/approach In this study, we have reviewed 185 papers that were published in 'The Journal of Information Systems' from 2010 to 2018 and classified them based on topics studied and survey methodologies used. The classification guidelines, which was developed by Palvia et al.(2015), has been used to capture the topic trends. We have also employed Struab et al.(2004)s' guidelines for securing rigor of validation issues. By using two guidelines, this study could also present topic and rigor trends in 'The Journal of Information Systems' and compare them to those trends in International Journals. Findings Our findings have identified dominant research topics in 'The Journal of Information Systems'; 1) social media and social computing, 2) IS usage and adoption, 3) mobile computing, 4) electronic commerce/business, 5) security and privacy, 6) supply chain management, 7) innovation, 8) knowledge management, and 9) IS management and planning. This study also could offer researchers who pursue this line of work further practical guidelines on mandatory (convergent and discriminant validity, reliability, and statistical conclusion validity), highly recommended (common method bias testing), and optional validations (measurement invariance testing for subgroup analysis, bootstrapping methods for testing mediating effects).

Proposal of Analysis Method for Biota Survey Data Using Co-occurrence Frequency

  • Yong-Ki Kim;Jeong-Boon Lee;Sung Je Lee;Jong-Hyun Kang
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.5 no.3
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    • pp.76-85
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    • 2024
  • The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R2) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.

Implementation of Forced Answer Model for Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.489-499
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    • 2003
  • In this paper we implement the system for the forced answer model which is an indirect response technique on the internet as a way of obtaining much more precise information, not revealing secrets of responsors. In this system we consider that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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Implementation of Quantitative Unrelated Question Model for Obtaining Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.591-603
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    • 2003
  • This paper is planned to use randomized response technique which is an indirect response technique on internet as a way of obtaining much more precise information, not revealing secrets of responsors, considering that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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Implementation of Qualitative Unrelated Question Model for Obtaining Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Myung, Ho-Min
    • 한국데이터정보과학회:학술대회논문집
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    • 2002.06a
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    • pp.107-118
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    • 2002
  • This paper is planned to use randomized response technique which is an indirect response technique on internet as a way of obtaining much more precise information, not revealing secrets of responsors, considering that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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A New Finding-peripheral Vision Phobia: A Possible Subtype of Social Phobia

  • Jang, Su Hee
    • Journal of Acupuncture Research
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    • v.31 no.1
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    • pp.159-165
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    • 2014
  • Background and objectives : Social phobia is a nervous anxiety characterized by one or more constant fear in social activity or specific situation which causes serious damage to individual's social functions leading to chronic functional impairment when it is untreated. The objective of this study is to report a new finding of a possible subtype of social phobia according to a case survey and study of sufferers found via online support group. Methods : A single case review using survey and interview on patient was employed. Following a no-treatment baseline period for examination and interview, biweekly acupuncture treatment with interview for in-depth examination was delivered for 6months. Also, for in-depth investigation of peripheral vision phobia, survey questionnaire was done by the members of a Korean support group on on-line social group forum. Result : A new type of social phobia which has not yet been reported nor mentioned in any journals, namely called 'peripheral vision phobia' has been identified. Biweekly acupuncture treatment reached a comfort state of mental status on one case of patient with social phobia. Limitation : Due to the shift of environment on patient's part, the termination of the school session at where the phobia occur the most, the reoccurrence of the phobia is yet to be examined. Also, the generalization of the new type of phobia as a subtype only by reviewing one case alone with survey interview of on-line social group has limitation. Conclusion : The result of the case review suggests that 'peripheral vision phobia' is strictly concentrated on malfunctioning of peripheral vision without functional or organic hindrance of pupils or of any parts of eyes including eye muscles due to peripheral vision phobia. PVP is similar to social phobia and it may be a subtype of social phobia, however, since etiology, diagnosis, medical treatment methods are under researched, investigation is yet to be done.

Differentiated impacts of SNSs on Participatory Social Capital in Korea

  • Hwang, Dukyun;Paek, Mi Yon
    • International Journal of Internet, Broadcasting and Communication
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    • v.8 no.3
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    • pp.1-11
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    • 2016
  • This study investigates whether different SNS with different characteristics have different impacts on participatory social capital in Korea. At least in Korea, SNS are categorized into five types (community, blog, micro-blog, profile-based service and instant message service), and participatory social capital is specified by three types (off-line political participation, on-line political participation, on-line civic engagement). Using Nielsen KoreanClick's web-based survey data, our regression analysis shows that SNS which are more open and focused on information sharing contribute more to participatory social capital.

The Applications of On-line English Newspapers into Classroom Instruction

  • Choi, Yong-Son
    • English Language & Literature Teaching
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    • v.8 no.2
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    • pp.1-22
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    • 2003
  • The purposes of this paper are to show that learning English via on-line English newspapers is very effective and to suggest several applications of an English newspaper on the web in English education to improve Korean speakers' English proficiency. Firstly, this paper overviews about Newspapers In Education (NIE). Secondly, a comparison between an on-line English newspaper and a traditional one is made, focusing on their advantages and characteristics. Thirdly, some ways to use various articles of a digital English newspaper in classroom instruction are explored. Lastly, the suggestions of this study are integrated into English learning instruction of an extracurricular English learning club of Business English Department. This club includes free utilization of an Internet surfing center, Internet Cafe, in a College Library. And then, a survey among the club members is conducted and its statistical results are analyzed.

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Survey of Evolutionary Algorithms in Advanced Planning and Scheduling

  • Gen, Mitsuo;Zhang, Wenqiang;Lin, Lin
    • Journal of Korean Institute of Industrial Engineers
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    • v.35 no.1
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    • pp.15-39
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    • 2009
  • Advanced planning and scheduling (APS) refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. APS is especially well-suited to environments where simpler planning methods cannot adequately address complex trade-offs between competing priorities. However, most scheduling problems of APS in the real world face both inevitable constraints such as due date, capability, transportation cost, set up cost and available resources. In this survey paper, we address three crucial issues in APS, including basic scheduling model, job-shop scheduling (JSP), assembly line balancing (ALB) model, and integrated scheduling models for manufacturing and logistics. Several evolutionary algorithms which adapt to the problems are surveyed and proposed; some test instances based on the practical problems demonstrate the effectiveness and efficiency of evolutionary approaches.