• Journal of Information Science Theory and Practice
• /
• v.8 no.2
• /
• pp.68-78
• /
• 2020

This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

• Journal of Information Technology Services
• /
• v.16 no.4
• /
• pp.161-176
• /
• 2017

Recently, most of the users can easily get access to a variety of information sources about companies, products, and services through online channels. Therefore, the online user evaluations are becoming the most powerful tool to generate word of mouth. The user's evaluation is provided in two forms, quantitative rating and review text. The rating is then divided into an overall rating and a detailed rating according to various evaluation criteria. However, since it is a burden for the reviewer to complete all required ratings for each evaluation criteria, so most of the sites requested only mandatory inputs for overall rating and optional inputs for other evaluation criteria. In fact, many users input only the ratings for some of the evaluation criteria and the percentage of missed ratings for each criteria is about 40%. As these missed ratings are the missing values in each criteria, the simple average calculation by ignoring the average 40% of the missed ratings can sufficiently distort the actual phenomenon. Therefore, in this study, we propose a methodology to predict the rating for the missed values of each criteria by analyzing user's evaluation information included the overall rating and text review for each criteria. The experiments were conducted on 207,968 evaluations collected from the actual hotel evaluation site. As a result, it was confirmed that the prediction accuracy of the detailed criteria ratings by the proposed methodology was much higher than the existing average-based method.

• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.45-56
• /
• 2020

This study is about the scale to evaluate the data of the countermeasures in the 'simulation based government exercise' (tentative name). The criteria and weighting of the scale is a standard for evaluating the data of each agency input. This maintains the objectivity and consistency of the evaluation, which complements the subjective evaluation of the observer. Therefore, the criteria should accommodate the purpose of the government exercise evaluation, the possibility of measurement in the simulation environment, the objectivity, no-duplication and causality between criteria, and the grade applying the evaluation results, and the weighting should be set. In this study, three major criteria of timeliness, accuracy, and appropriateness is set up for the evaluation scale and it consists of sub-criteria classified into three classes below respectively and the concept of it was defined. The weighting was calculated by AHP analysis considering the hierarchical structure of it. When this evaluation scale is applied to the 'simulation based government exercise' in the future, it will be possible to secure consistency and objectivity of the evaluation of measures by integrating the quantified evaluation into the observation evaluation and to conduct AAR by scientific techniques.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.7
• /
• pp.789-799
• /
• 2003

The purpose of this study was to find out clothing evaluation criteria and purchase intention according to consumers' shopping orientation and demographic factors when they shop online. The subjects were 240 men and women living in the metropolitan area. For data analysis, factor analysis, cluster analysis, ANOVA, t-test, Duncan test and descriptive statistics were conducted. The results are as follows: 1. Important clothing evaluation criteria were considered in order of price, style, fit, size and product guarantee etc. Purchase intention was showed more highly when products are related to low involvement than high involvement. 2. Consumers with high hedonic and utilitarian shopping orientation considered clothing evaluation criteria more importantly but showed low level of purchase intention in cyber shopping. And consumers with low hedonic and utilitarian shopping orientation considered clothing evaluation criteria less importantly but showed high level of purchase intention in cyber shopping. 3. There were significant differences in evaluation criteria and purchase intention according to demographic variables. Especially women considered evaluation criteria more importantly and had higher level of purchase intention than men.

• The Journal of Advanced Prosthodontics
• /
• v.6 no.5
• /
• pp.325-332
• /
• 2014

PURPOSE. The aim of this review was to analyze the evaluation criteria on mandibular implant overdentures through a systematic review and suggest standardized evaluation criteria. MATERIALS AND METHODS. A systematic literature search was conducted by PubMed search strategy and hand-searching of relevant journals from included studies considering inclusion and exclusion criteria. Randomized clinical trials (RCT) and clinical trial studies comparing attachment systems on mandibular implant overdentures until December, 2011 were selected. Twenty nine studies were finally selected and the data about evaluation methods were collected. RESULTS. Evaluation criteria could be classified into 4 groups (implant survival, peri-implant tissue evaluation, prosthetic evaluation, and patient satisfaction). Among 29 studies, 21 studies presented implant survival rate, while any studies reporting implant failure did not present cumulative implant survival rate. Seventeen studies evaluating peri-implant tissue status presented following items as evaluation criteria; marginal bone level (14), plaque Index (13), probing depth (8), bleeding index (8), attachment gingiva level (8), gingival index (6), amount of keratinized gingiva (1). Eighteen studies evaluating prosthetic maintenance and complication also presented following items as evaluation criteria; loose matrix (17), female detachment (15), denture fracture (15), denture relining (14), abutment fracture (14), abutment screw loosening (11), and occlusal adjustment (9). Atypical questionnaire (9), Visual analog scales (VAS) (4), and Oral Health Impact Profile (OHIP) (1) were used as the format of criteria to evaluate patients satisfaction in 14 studies. CONCLUSION. For evaluation of implant overdenture, it is necessary to include cumulative survival rate for implant evaluation. It is suggested that peri-implant tissue evaluation criteria include marginal bone level, plaque index, bleeding index, probing depth, and attached gingiva level. It is also suggested that prosthetic evaluation criteria include loose matrix, female detachment, denture fracture, denture relining, abutment fracture, abutment screw loosening, and occlusal adjustment. Finally standardized criteria like OHIP-EDENT or VAS are required for patient satisfaction.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.20 no.2
• /
• pp.183-196
• /
• 2009

The purpose of this study is to develop school library evaluation criteria by individual provincial office of education. Data was collected from several school library evaluation criteria. Based upon the data new evaluation criteria were developed in order to increase student academic achievement and apply various school environment. Evaluation items were divided into three items: library programs, school support, service. Evaluation methods were identified into survey method, statistics method, and applied standard statistics method. From three methods, applied standard statistics method was selected. This method included quantitative items and qualitative items. Quantitative items have two criteria from budget, three criteria from collection, and three criteria from use. Qualitative items have two criteria: collection and book usage.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.28 no.4
• /
• pp.203-221
• /
• 2017

This study is to suggest some improvement directions of the criteria for the management evaluation in order to contribute to the achievement of lasting value of the continuous development and publicity in regard to the public library means-efficiency. To this end, This study analyzed the means-efficiency evaluation criteria via theoretical review on business analysis of private enterprise and the analysis framework based on it. The improvement of evaluation criteria in regard to efficiency for the continuous development of public library are as follows. 1) Regardless of domestic and foreign, an efficiency index in the performance evaluation index of public library is absolutely insufficient. The sufficient indexes measuring efficiency which is appropriate for the concept of performance should be developed. 2) A flow data representing input and performance in certain time period is insufficient. Therefore, evaluation index consisted of flow data should be more developed. 3) Long term stock data is excluded in the term cost as it is the cost used for the long term such as fixed assets. However, it is useful as input data, which is realized through the perfect accounting.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.17 no.3
• /
• pp.45-60
• /
• 2015

The purpose of this study is to classify individualism-collectivism into groups and analyze the difference of attitude toward uniform and evaluation criteria toward uniform. Questionnaires are being administered to 369 middle and high school girls in Deagu province. The Frequency, factor analysis, reliability analysis, cluster analysis, correlation analysis, ANOVA, Duncan-test, and t-test are used for data analysis. Individualism-collectivism factors are found to be other focus, individuality focus, competition consciousness, love of family, and self-esteem. Attitude toward uniform are categorized into fashion pursuit, symbol of role, conformity, color, and neatness. Evaluation criteria toward uniform is categorized into 7 factors: practicality, care, promotion, aesthetics, service, brand focus, and regulation focus. Individualism-collectivism are classify into three groups such as high individualism-collectivism, low individuality, and high individuality. Individualism-collectivism shows a significant correlation with the sub-variable attitude toward uniform and evaluation criteria toward uniform. The groups show a significant difference in the attitude toward uniform and evaluation criteria toward uniform. There is a significant difference among individualism-collectivism, attitude toward uniform, and evaluation criteria toward uniform by the middle and high school girls.

• Journal of KIISE
• /
• v.42 no.4
• /
• pp.459-467
• /
• 2015

The analysis platform of remote-sensing big data is a system that downloads data from satellites, transforms it to a data type of L3, and then analyzes it and produces its analysis results. The objective of this paper is to develop ISO/IEC 9126-1 software quality model-based assessment criteria, in order to evaluate the quality of remote-sensing big data analysis platform. Its detailed research contents are as follows. First, the ISO/IEC 9216 standards and previous software evaluation models will be reviewed. Second, this paper will define evaluation areas, evaluation elements, and evaluation items for measuring the quality of big data analysis platform. Third, the validity of the assessment criteria will be verified by statistical experiments through content validity, reliability validity, and construct validity, by using SPSS 20.0 and Amos 20.0 software. The construct validity will also be conducted by performing the confirmatory factor analysis and path analysis. Lastly, it is significant that our research result demonstrates the first evaluation criteria in measuring the quality of big data analysis platform. It is also expected that our assessment criteria could be used as the basis information for evaluation criteria in the platforms that will be developed in the future.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2005.06a
• /
• pp.1001-1006
• /
• 2005

A Robot Performance Evaluation System(RPES) with the laser tracker Leica LTD 500 was developed according to the ISO 9283 robot performance criteria. The developed system is set up a test robot to continuously move the prescribed cyclic trajectories without a human intervention and the laser tracker to simultaneously measure the robot's movement. And then, the system automatically extracts the required data from the tremendous measured data, and computes the various performance criteria which represents the present state of the test robot's performance. This paper explains how ISO 9283 robot performance criteria was used for the developed system, and suggests a automatic data extraction algorithm from the mass of measured data. And also, a user-friendly Robot Performance Evaluation System(RPES) Software was developed with Visual Basic satisfying the need of Hyundai Motor Company. The developed system was implemented on NACHI 8608 AM 11 robot. The resulted output shows the effectiveness of the developed system.