• Journal of the Korean Society for Library and Information Science
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• v.31 no.4
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• pp.165-186
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• 1997

Based on the results of previous evaluation studies, a quality based evaluation model applicable to academic libraries in Korea was developed. Focusing on output measures, 25 indicators in 7 catagories are defined. For each indicators, data collection method along with measuring process is established. And norms and evaluation scales are also provided. The concluding section suggests several areas for implementation and future research.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.1
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• pp.19-34
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• 1996

This study provides an overview of the accreditation landscape in Korea, and identifies some problems in the current accrediting review program which assesses the library's achievements These are as follows: (1) The weight given to the library sector is insufficient. (2) There are no indicators to appraise the achiement of the informational and educational functions of academic libraries (3) It is completely devoted to input indicators, but not process or output indicators (4) It is impossible to evaluate the quality os library services. (5) The units of statistics are not standardised. Some alternative measures and indicators are proposed to evaluate the performances of academic libraries' services. It is suggested that an official draft should be prepared by Korean academic librarians to amend the library sector of current accrediting review program.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.3
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• pp.27-50
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• 2015

The top thirty universities in 2014 by the college rankings of the Korea Joongang Daily were chosen for the samples of this study to find how much academic libraries affect the competitiveness of universities. Evaluation scores of the universities in four areas, and building size, budgets, the number of collections and personnels were also decided as the variables in this study. The influence to the universities' evaluation and rankings of their libraries through average and correlation analysis was studied. The major findings of the study are: (1) Average analysis between metropolitan and non-metropolitan areas found that there were significant differences in globalization indicators, reputation, and social advance degree. Also, (2) Correlation analysis found that library budgets and the number of personnel highly affected the university evaluations or rankings compared to the other variables.

• Korean Journal of Comparative Education
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• v.26 no.4
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• pp.125-152
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• 2016

This study aims to analyze the impacts of the QS Asia University Rankings (QSAUR) indicators and to compare the scores obtained by major countries. Hierarchical multiple regression was performed on the results of the QSAUR 2013-2015 and the average indicator and overall scores of each country were calculated. In the QSAUR, the most influential indicator was academic reputation. Each indicator's influence corresponded to its assigned weights and standard deviations. The results of the comparison revealed that Japan, South Korea, and China had the largest number of institutions among the top 150, while Singapore maintained the highest average scores on the indicators as well as the overall score. Each country had different areas that required improvement. South Korean colleges scored lower than some countries on academic reputation, papers per faculty, and international faculty. To attain higher ranks in the QSAUR, academic reputation, institutions' research capability improvement, and internationalization are needed. The implementation of these strategies is necessary to diminish the gap between South Korean institutions and other Asian institutions.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.21-32
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• 2019

The flow of the $4^{th}$ Industrial Revolution calls for the innovation of the traditional business models of the manufacturers. Servitization is a corporate strategy to respond to changes in the business environment. These days, the value that the market demands can be created on the basis of the product-service integration. Thus the manufacturers must pursue the fundamental innovation of the current strategy and business models. It is necessary to create common values with customers through providing product-service integrated offerings beyond the development, production, and delivery. The purpose of this study is to develop the evaluation indicators for selecting suppliers when the manufacturer who offers the value of product-service integration needs to obtain the resources from outside. The case company in this study is the manufacture firm conducting the retail IoT business as a new business. The Delphi method is used to develop the evaluation indicators for selecting suppliers. This study suggests the academic implications providing the perspective of Servitizaiton by using Delphi method, and the practical implications applying the creating value method of Servitization by collecting the opinions from both value providers and value consumers in the process of developing the evaluation indicators.

• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.345-357
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• 2003

As the sustaindble development becomes the main goal of the global world in the 21st century, it is important that technological innovations should be realized ecologically sound based on co-evolutionalry approach. From this perspective, the trans-disciplinary research method is gaining importance in the evaluation process of public funded R&D, especially in the environmental technology. In our evaluation research on the R&D projects of the $CO_2$reduction and sequestration technology in Korea, we attempt to apply a trans-disciplinary integrated method on the concept of the eco-innovation, the technology push and the market pull. Also, we try to develop the trans-disciplinary indicators of the environmental technology evaluation. This research confirms the necessity of trans-disciplinary research among the three academic perspectives, engineering, social sciences and public policy.

• Journal of Korean Library and Information Science Society
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• v.43 no.2
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• pp.99-116
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• 2012

This study recommends the evaluation measures and indicators to evaluate the operations and performance of each Foreign Research Information Centers (FRIC) established to support the effective and efficient use of the foreign academic journals at the national level. The indicators are comprised by 3 major sections, subdivided into 35 sub-indexes. Each of indicators is scored according to the weights derived from the AHP survey to the related researchers and the practitioners. As a result, total score of 1,000 is distributed to 3 major sections of operational strategy section (190), operational systems section (440), and operational outcomes (370). Based on the evaluation indicators, measure dictionary is developed, followed by preliminary tests both by the parent organization and by each centers, in order to check the feasibility of the measurement.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.2
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• pp.147-170
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• 2008

Evaluation of an academic library is a key to its success. Library and Information Policy Bureau of the President of the Republic of Korea conducted a trial evaluation on academic libraries with a university evaluation index developed by KERIS in 2005. The committee decided to review its feasibility based on the feedbacks from the academic libraries after the trial. This study aims to address the indexing issues appeared during the trial and suggest a new evaluation index tailored to academic libraries. First, the evaluation field is condensed from 7 to 6 as "financing" and "infrastructure" are integrated into "budget and infrastructure." Secondly, both "user charter" and "planning" are removed from the "library management" field category. and "library self-assessment" is added instead. In "information resource" field, "non-books and etc." is added. Third, evaluation categories for "budget and infrastructure" field are altered to budget-related items and library equipment. Forth, "collection turnover rate" category is incorporated into "collection usage" in "information usage" field, and "library use rate" in "information service" field is moved to "information resource" field and renamed as "use rate."

• Journal of Home Health Care Nursing
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• v.21 no.1
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• pp.14-25
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• 2014

Purpose: The purpose of this study was to analyze key performance indicators using a balanced scorecard in the nursing department of hospitals, and to find useful suggestions for future research. Methods: Before starting the literature search clear inclusion and exclusion criteria were determined. After that, were viewed 41 studies from the RISS, KISS, National assembly library, and NDSLDB. Data were collected on October 17, 2013. Researchers developed an analytic framework for the literature review using a balanced score card development process and construction steps of previous studies. This framework had 10 steps related to the balanced score card development process. Results: A total of 10 studies met the inclusion and exclusion criteria. We identified 234 key performance indicators for the nursing department. The average number was 6.6 in finance perspective, 8.6 in perspective, 11.9 in internal process perspective, and 6.2 in learning and growth perspective. We found that 173 indicators had been cited only once. 61 indicators were cited over twice. Further, 8 indicators employed different perspectives on different studies. Conclusion: The results of the present study summarize useful information on recent trends on key performance indicators using a balanced score card in the nursing department of hospitals. These results will help develop key performance indicators and provide directions for future research.