• Title/Summary/Keyword: information needs analysis

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Usability of the National Science and Technology Information System (웹 사용성 개선에 관한 연구 - 국가과학기술정보시스템을 중심으로 -)

  • Park, Min-Soo;Hyun, Mi-Hwan
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.4
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    • pp.5-19
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    • 2011
  • The purpose of this study is to identify possible needs for system improvements and reflect them on the operation and development of the system as a result of the usability assessment of an information site in science and technology. For this study, a variety of data collection techniques, including search logs, interviews, and think-alouds, were used. The search log data was processed to quantify four evaluation aspects, which were the effectiveness, efficiency, satisfaction, and errors. The verbal data collected by think-alouds and post-interviews were used to identify possible needs of enhancement in a qualitative analysis. The comparison of the usability before and after the system enhancement revealed an increase of 15 points for effectiveness, 35 seconds decrease in efficiency, 5 points increase in satisfaction, and 1.1 errors decreased, implying an overall improvement of the usability of the current system.

A study on ways to make employment improve through Big Data analysis of university information public

  • Lim, Heon-Wook;Kim, Sun-Jib
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.174-180
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    • 2021
  • The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

A Study on the Vitalization Strategy Based on Current Status Analysis of National Archives (국내외 국립기록관의 트위터 운용 현황 분석 및 활성화 방안)

  • Gang, JuYeon;Kim, TaeYoung;Choi, JungWon;Oh, Hyo-Jung
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.263-285
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    • 2016
  • Nowadays, Social Network Service (SNS), which has been in the spotlight as a way of communication, has become a most effective tool to improve easy of information use and accessibility for users. In this paper, we chose Twitter as the most representative SNS services because of automatic crawling and investigated tweet data gathered from domestic and foreign National Archives - NARA of U.S.A., TNA of U.K.. NAA of Australia, and National Archives of Korea. We also conducted information genres analysis and trend analysis by timeline. Information genres analysis shows how archives satisfied users' information needs as well as trends analysis of tweets helps to understand how users' interestedness was changed. Based on comparison results, we distilled four characteristics of National Archives and suggested vitalization ways for National Archives of Korea.

SNS Operation Status Analysis and Improvement Plan for Facilitating of Use of Open Data Portal (공공데이터포털 이용 활성화를 위한 SNS 운용현황 및 개선방안)

  • Hwang, Sung-Wook;Jung, Yeyong;Kim, Soojung;Oh, Hyo-Jung
    • Journal of the Korean Society for information Management
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    • v.37 no.2
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    • pp.23-45
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    • 2020
  • The world is paying attention to the South Korean government's aggressive COVID-19 response, key of which is transparency and openness in sharing information. Opening up government information is essential to enhancing its social and economic value through increased awareness and accessibility. The purpose of this study is to investigate the current status of SNS operated by national open data portals in which government-collected and -disclosed data is available and to suggest improvements for the use of open data portals. To do this, the study compared 3 national open data portals, each from India, U.S.A, and Korea, by performing quantitative analysis, user feedback analysis, time-series analysis, and information type analysis. Based on the identified information types and user needs, the study suggests concrete ways to facilitate the use of open data portals.

GIS Application for Site Planning

  • Han, Seung-Hee;Lee, Jin-Duk
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.53-59
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    • 2009
  • The general urban plan is the plane plan which limits general and uniformed constructions; however, the district unit plan is the solid plan that can leads various constructions by discriminating by plot, housing area and lot. Therefore, for the zone plan, not only the two-dimensional plot information such as plot usage plan, but also the three-dimensional plot information needs to be used to analyze lighting, sewerage and directions. To fulfill such requirements, the information can be gathered using GIS and photogrammetric method for the reasonable and efficient zone plan. In this research, the information about the testing area for the zone plan has been gathered using GIS method, and the three-dimensional model about the area has been built using the satellite image and DEM. As the result, plot usage analysis, direction analyst, water system analysis, and slope analysis has been done and used efficiently to build the district unit plan. Also, after the result after applying the analyzed result to the actual area says this is very appropriate and efficient.

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Analysis of Library Space Use Patterns to Determine its Optimum Utilization (도서관 공간 활용의 효율성 제고를 위한 이용패턴분석에 관한 연구)

  • Park, Sung-Jae
    • Journal of the Korean Society for information Management
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    • v.33 no.1
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    • pp.225-245
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    • 2016
  • The purpose of this study is to enhance the efficiency of library space usage through analyzing users' behavior in an academic library. Diary methodology was applied for collecting users' activities in the library. 108 students participated in this study, but 84 students submitted their diaries. Among them, 14 participants were interviewed to identify barriers and their needs in using the library. The findings suggest rearranging IT devices to increase use rate of those devices, making plans for reusing the space where it is rarely used, and improving the accessibility of information through browsing in the bookstack area. Additionally, time analysis of users' activities was used to analyze students' behavior in the library.

On the Prediction of the Wrinkling Initiation in Sheet Metal Forming Processes (박판성형 공정에서 발생하는 주름의 예측에 관하여)

  • Kim J. B.;Yang D. Y.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.10a
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    • pp.124-127
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    • 2000
  • The finite element analyses of the wrinkling initiation and growth in the sheet metal forming process provide the detailed information about the wrinkling behavior of sheet metal. The direct analyses of the wrinkling initiation and growth, however, bring about a little difficulty in complex industrial problems because it needs large memory size and long computation time. For the description of wrinkling growth, the mesh elements should be sufficiently small and the size of finite element matrix becomes large. In the static implicit finite element method therefore, the direct analysis of wrinkling growth in a complex sheet metal forming process is rather difficult. From the industrial viewpoint of tooling design, the readily available information of possibility and location of wrinkling is sometimes more preferable to the detailed time-consuming information. In the present study, therefore, the wrinkling factor that shows locations and relative possibility of wrinkling initiation is proposed as a convenient tool of relative wrinkling estimation based on the energy criterion. The location and relative possibility of wrinkling initiation are predicted by calculating the wrinkling factor in various sheet metal forming processes such as cylindrical cup deep drawing, spherical cup deep drawing, and elliptical cup deep drawing. The wrinkling factor is also implemented in the analysis of the door inner stamping process to predict wrinkling.

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A Study on Customer Knowledge Acquisition Strategy via a Customer Center: A Case of Voice Recognition Technology Application (고객센터를 통한 고객지식 확보 전략: 음성인식기술의 적용 사례)

  • Hong, Byoung Sun;Koh, Joon
    • Knowledge Management Research
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    • v.19 no.1
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    • pp.147-174
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    • 2018
  • Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

Consumer Importance-Performance Analysis on Writing Rules of Product User Guide Using IPA (IPA를 활용한 제품사용설명서의 작성원칙에 대한 소비자 중요도-만족도 분석)

  • Seo, JunHyeok;Bae, SungMin
    • Journal of Korean Society for Quality Management
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    • v.48 no.2
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    • pp.283-296
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    • 2020
  • Purpose: This study examined the importance and satisfaction of consumer's perception of the information delivery format of products and services required and recommended by KS A ISO / IEC Guide 13: 2003 and KS A ISO / IEC Guide 37: 2003. Methods: In this study, the importance and satisfaction of clarity, principles of information transfer, how to use expressions and technical terms, and technical terms, warning signs, and durability were investigated. Results: The t-test analysis of the importance and satisfaction of the Writing Rules of the product user guide showed that all items had statistically significant differences. The importance of the writing rules of the product user guide for the use of the product was in the order of warning signs (4.423), how to use expressions and technical terms (4.215), principles of information transfer (4.163), clarity (3.914), and finally durability (3.851). Conclusion: Among the 'explanation,' 'instruction' and 'warning' functions of the Product User Guide, the consumer uses the manual to identify the inherent dangers and misuse of the product. Besides, since the life of the product is prolonged, the Product User Guide also needs to improve the quality of the cover or paper so that it can use for a long time.

Web Service Matching Algorithm using Cluster and Ontology Information (클러스터와 온톨로지 정보를 이용한 웹 서비스 매칭 알고리즘)

  • Lee, Yong-Ju
    • Journal of Internet Computing and Services
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    • v.11 no.1
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    • pp.59-69
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    • 2010
  • With the growing number of web services, there arise issues of finding suitable services. But, the traditional keyword search method is insufficient for two reasons: (1) this does not capture the underlying semantics of web services. (2) this does not suffice for accurately specifying users' information needs. In order to overcome limitations of this keyword search method, we propose a novel syntactic analysis and ontology learning method. The syntactic analysis method gives us a breadth of coverage for common terms, while the ontology learning method gives a depth of coverage by providing relationships. By combining these two methods, we hope to improve both the recall and the precision. We describe an experimental study on a collection of 508 web services that shows the high recall and precision of our method.