• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.1
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• pp.104-114
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• 1995

The purpose of this study were 1) to classify the consumer of outlet stole according to their patronage, 2) to investigate the differences between the patronge group and non-patronge group in 3 purchase behavior variables (shopping orientations, importance of store attributes, use of information sources) and demographic variables, and 3) to find out the reasons why consumers prefer outlet to department store's bargain sales (including clearance sales). The questionnaires were administered to 344 women living in Seoul, and the methods used to analyze the data were frequency, factor analysis, 1-test, $x^2$ test and content analysis. The results were as follows 1) outlet store consumers were classified into patronage group(n= 71) and non-patronage group(n=87). 2) There were some significant differences between patronage group and non.patronage group in 6 variables. Those who patronize outlet store does not count on the exclusiveness and the convenience of the store, enjoy common style in fashion, are price-conscious and lower in income. 3) Marketing implications were discussed according to the result of content analysis.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.1
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• pp.27-41
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• 2023

The outbreak of the corona virus diseases (COVID-19) in the late 2019 has affected all facets of educational system including library and information services. Reference services, an important aspect of library services are not exempted from this impact. This study therefore, investigated the impact of COVI\D-19 pandemic on the use of reference services and sources by postgraduate students using Kenneth Dike Library (KDL), University of Ibadan, as a case study. Using descriptive survey of correlational type, the study adopted the use of structured questionnaire to randomly select three hundred (300) postgraduate users of reference sources and services in KDL using online survey monkey. Of the three hundred (300) copies, two hundred and twenty three (223) copies, repre- senting 74.3% were retrieved and used for analysis. Findings revealed that, in spite of COVID-19 pandemic, most postgraduate students used Current Awareness Services (203, 91.0%, mean = 3.19), Reference Sources (202, 90.5%, mean = 3.18) and On-line Public Access Catalogue (195, 87.4%, mean = 3.13); low frequency of bibliotherapy (mean=2.22), Reader's Advisory services (mean=2.30) and inter-library loan (mean=2.13) and that COVID-19 pandemic had high impact on post- graduate students' use of reference services in Kenneth Dike Library, University of Ibadan. Based on the findings, recommendations were made that library management should consider the adoption of virtual reference services (VRS) in addition to the conventional mode of refer- ence services to enhance patronage in the COVID-19 era. The library users should also be trained on how to take advantage of the COVID-19 pandemic to learn new skills in the digital space that will eventually optimize the usage of the library remotely.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.272-277
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• 2001

In this paper, we describe a new method for selecting information sources in a distributed environment. Recently, there has been much research on distributed information retrieval, that is information retrieval (IR) based on a multi-database model in which the existence of multiple sources is modeled explicitly. In distributed IR, a method is needed that would enable selecting appropriate sources for users\` queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate ate sources if a query contains polysemous words. In this paper, we describe an information-source selection method using two types of thesaurus. One is a thesaurus automatically constructed from documents in a source. The other is a hand-crafted general-purpose thesaurus(e.g. WordNet). Terms used in documents in a source differ from one another and the meanings of a term differ depending on th situation in which the term is used. The difference is a characteristic of the source. In our method, the meanings of a term are distinguished between by the relationship between the term and other terms, and the relationship appear in the co-occurrence-based thesaurus. In this paper, we describe an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. For a practical application of our method, we have developed Papits, a multi-agent-based in formation sharing system. An experiment of selection shows that our method is effective for selecting appropriate sources.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.33-36
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• 2007

Acoustic holography exhibits the spatial distribution of sound pressure in time or frequency domain. The obtained picture often contains far more than what we need in practice. For example, when we need to know only the locations and overall propagation pattern of sound sources, a method to show only what we need has to be introduced. One way of obtaining the necessary information is to use envelope in space. The spatial envelope is a spatially slowly-varying amplitude of acoustic waves which contains the information of sources' location. A spatial modulation method has been theoretically developed to get a spatial envelope. By applying the spatial envelope, not only the necessary information is obtained but also computation time is reduced during the process of holography. The spatial envelope is verified as an effective visualization scheme in time domain by being applied to complicated sound fields.

• Journal of the Korean Society of Costume
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• v.33
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• pp.201-215
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• 1997

The purpose of this study was to investigate the actual state and problems of outlet stores. And examine store attributes shopping orientations information sources according to demographic characteristics for outlet store patronage group. The questionnaires were administered to 400 women living in Taegu. The data were analyzed by using Frequency Percentage Factor Analysis MANOVA. The results of the study were as follows; 1) Outlet stores in Taegu area were run as the type of agency and dealt in most brands of their own companies, There were plenty of as-sortment and merchandise. The discount rate was 50-60% Stores' locations were scattered which made shopping environment incon-venient. 2) The store attributes were composed of five factors such as fashion & products diver-sity service store reputation convenience and price. Shopping orientation were com-posed of six factors such as self-confidence for shopping brand oriented store loyalty & near-store oriented economical self-assumed shopping and difficulty of choice. Information sources were composed of four factors such as print media & display personal information advertising and store visit. 3) There were significant differences be-tween patronage group and non-patronage group in store reputation service fashion & products diversity. Patronage group is more satisfied with these three factors. There were significant differences between patronage group and non-patronage group in brand oriented and economical Non-patronage group was more brand oriented and patronage group was more economical. There were significant difference between patronage group and non-patronage group in print dedia & display factos. Non-patronage group made more use of print media& display than patronage group as information sources. There were significant differences between patronage group non-patrpnage group in age marital status and levle of education.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.3
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• pp.223-244
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• 2019

This study aims to propose educational information services for social science teachers by analyzing their information seeking behaviors. The author carried out in-depth interviews with thirteen social science teachers in Daejeon and analyzed them using an information seeking behavior model of Leckie, Pettigrew and Sylvain. The study results showed that information needs of social science teachers arise from extrinsic and intrinsic motivations according to their work roles and tasks. Also, the characteristics of information needs such as repeatability, predictability, urgency, and complexity appear to influence information seeking behaviors. The participants used various information sources including web, book, and interpersonal sources. Moreover, the study observed some factors that may influence perception toward information sources such as trustworthiness, information quality, packaging, prior success experience. Finally, the perception change and use frequency of information sources were also identified. Based on these findings, the author proposed information services for social science teachers including integrated information provision services, information literacy programs, networking services and readers advisory services.

• Journal of Information Management
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• v.39 no.2
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• pp.1-25
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• 2008

This study is to investigate the user behavior of defense development and test researchers working for A research institute to provide advanced library services. Based on the prior studies about the subject, survey through questionnaires were conducted, and the data analyzed using SPSS 12.0. Results of the analyses are as follows: The researchers generally gathered information 2 to 3 times per month. The major reason for information gathering was to solve problems and do their tasks. They considered accuracy of information as the most important factor when they gather information. Finding and selecting information sources were the most difficult task for them in retrieving, acquiring and using information. They have most frequently used digital materials (67%), printed materials next (26%), and non-book materials (6%). Internet was both the most frequently used and most satisfied information source for the researchers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.157-158
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• 2017

There is a method to analyze the big data of the article and text mining by using Python language. And Python is a kind of programming language and it is easy to operating. Reaserch and use Python to creat a Web environment that the research result of the analysis can show directly on the browser. In this thesis, there are 100 article paper frrom Altmetric, Altmetric tracks a range of sources to capture. It is necessary to collect and analyze the big data use an effictive method, After the result coming out, Use Python wordcloud to make a directive image that can show the highest frequency of words.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.321-344
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• 2015

This paper presents a fusion approach to sentiment detection that combines multiple sources of evidence to retrieve blogs that contain opinions on a specific topic. Our approach to finding opinionated blogs on topic consists of first applying traditional information retrieval methods to retrieve blogs on a given topic and then boosting the ranks of opinionated blogs based on the opinion scores computed by multiple sentiment detection methods. Our sentiment detection strategy, whose central idea is to rely on a variety of complementary evidences rather than trying to optimize the utilization of a single source of evidence, includes High Frequency module, which identifies opinions based on the frequency of opinion terms (i.e., terms that occur frequently in opinionated documents), Low Frequency module, which makes use of uncommon/rare terms (e.g., "sooo good") that express strong sentiments, IU Module, which leverages n-grams with IU (I and you) anchor terms (e.g., I believe, You will love), Wilson's lexicon module, which uses a collection-independent opinion lexicon constructed from Wilson's subjectivity terms, and Opinion Acronym module, which utilizes a small set of opinion acronyms (e.g., imho). The results of our study show that combining multiple sources of opinion evidence is an effective method for improving opinion detection performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1262-1272
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• 2007

The purpose of this study was to examine the development trend of smart fiber by textile companies in Daegu/North Gyeongsang Province. This examination includes the development fields of smart fiber, investment size, information sources and the use degree of those, research-related infrastructure, relationship between companies' characteristics and their interests in smart fiber. Research data were collected by a survey. The definition and classification(4 areas and 12 development products) of smart fiber followed ones of Smart Fiber Technology Roadmap by the Ministry of Commerce, Industry and Energy. Data were analyzed using SPSS 11.0 program for frequency, means, t-test, and $X^2$-test. Among respondents, the numbers of dying and finish companies and export traders were the highest. It revealed that 19.6% of companies were developing smart fibers. Within 12 development products, vapor permeable/waterproof fiber showed to be most being developed, while medical fiber for human has not been developed and wasn't made an investment plan for developing. It was discovered that the biggest problem of smart fiber development was the lack of experts and the best outcome of smart fiber development was preoccupation of future market. It showed that companies got information from textile fairs but didn't often use information sources. The companies appeared to have a weak intention about research of smart fiber. The more important a company considered functionality of textile products and the more innovative and stabler the company was, the higher interest in smart fiber companies had. It was concluded that textile companies in Daegu/North Gyeongsang Province were aware of the importance of smart fiber development but they were not strongly interested in it and not enthusiastic in taking action on it.