• Journal of Yeungnam Medical Science
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• v.40 no.3
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• pp.233-240
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• 2023

The purpose of this study aims to analyze research trends related to 'evaluation' in Korean medical education through a systematic review. This study used a systematic review method, which is a research methodology for research trends and 'literature analysis.' Researchers searched the Korean journal literature published until the end of December 2020 in the Korean research database with keywords related to medicine and evaluation. Thus, 5,205 cases were identified. Based on these data, 143 papers were selected through a logical screening process, requiring 1 month to complete the data search and analysis process. In terms of publications, medical journals overwhelmingly outnumbered nonmedical journals until 2015; however, after 2016, the number of papers published in nonmedical journals increased, and the number of published papers was similar to that of medical journals. In terms of evaluation-related research, research on student and program evaluations has been very active compared to that on accreditation. As the number of evaluation studies has gradually decreased over the past 10 years, preparing a plan to revitalize them in Korean medical education is necessary. Considering that the role of evaluation in education has been emphasized in recent years, research on reestablishing the concept of evaluation; developing evaluation indicators; analyzing the status of student evaluation, program evaluation, and accreditation; and deriving measures to improve medical education through evaluation is required.

• Korea Trade Review
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• v.46 no.3
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• pp.203-226
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• 2021

Sustainability is considered to be one of the most important social and environmental requirements of modern companies located in global supply chains, since the strong worldwide regulation on carbon emission due to global warming has been emphasized. Sustainable Supply Chain Management(SSCM) could be one of the great alternatives for global companies to maintain a pleasant business environment while fulfilling their social and environmental responsibilities. This paper aims to provide research trends and future directions on SSCM through a systematic literature review. From January of 2004 to May of 2021, 185 English-written and peer-reviewed articles published in eminent journals were selected for the review. The all reviewed papers have been published in SSCI, SCI and SCIE indexed journals and should have accredited by WOS and JCR. A descriptive analysis was followed by a content analysis with regard to research design and methods, and data analysis techniques. We found that the number of research in the field of SSCM have been recently increasing and researchers and their affiliation have been expanding to all over the world, especially to emerging countries. We also found that the rate of the empirical studies and relevant research methodologies applied to the selected papers were relatively high. In the future, it is desirable to be increased the number of the specific industry-oriented research and the quantitative research pursuing the optimality.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.800-807
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• 2022

This study aims to review the use of graph databases in construction research. Based on the diagnosis of the current research status, a future research direction is proposed. The use of graph databases in construction research has been increasing because of the efficiency in expressing complex relations between entities in construction big data. However, no study has been conducted to review systematically the status quo of graph databases. This study analyzes 42 papers in total that deployed a graph model and graph database in construction research, both quantitatively and qualitatively. A keyword analysis, topic modeling, and qualitative content analysis were conducted. The review identified the research topics, types of data sources that compose a graph, and the graph database application methods and algorithms. Although the current research is still in a nascent stage, the graph database research has great potential to develop into an advanced stage, fused with artificial intelligence (AI) in the future, based on the active usage trends this study revealed.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.215-225
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• 2024

Predictive maintenance has been considered fundamental in the industrial applications in the last few years. It contributes to improve reliability, availability, and maintainability of the systems and to avoid breakdowns. These breakdowns could potentially lead to system shutdowns and to decrease the production efficiency of the manufacturing plants. The present article aims to study how predictive maintenance could be planed into the production scheduling, through a systematic review of literature. . The review includes the research articles published in international journals indexed in the Scopus database. 165 research articles were included in the search using #predictive maintenance# AND #production scheduling#. Press articles, conference and non-English papers are not considered in this study. After careful evaluation of each study for its purpose and scope, 50 research articles are selected for this review by following the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. A benchmarking of predictive maintenance methods was used to understand the parameters that contributed to improve the production scheduling. The results of the comparative analysis highlight that artificial intelligence is a promising tool to anticipate breakdowns. An additional impression of this study is that each equipment has its own parameters that have to be collected, monitored and analyzed.

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.142-155
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• 2001

The purpose of this stud)r was to critically review the trends of research methodologies of environmental education. We analyzed Journal of Korean Society for Environmental Education (vol. 1 ∼vol. 14(1)) and The Journal of Environmental Education(vol. 25∼vol. 31) to investigate the trends of methodology in EE research of Korean and other countries and to explore the tasks of it. The findings were as follows, 1) More than half of the character of the papers in Korea were actual condition (54.38%), substitute proposal (32.12%), and the papers in others countries were actual condition (39.35%), substitute proposal (33.55%). 2) The major parts of the method of the papers in Korea were literature review (26.05%), survey research (23.79%), on the other hand the papers in other counties were survey research (42.70%), literature review (25.84%). The results indicated that the research methodologies of environmental education in Korea were needed to be reinforced in the field of qualitative and quantitative research methods.

• Korean Journal of Clinical Pharmacy
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• v.29 no.1
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• pp.9-17
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• 2019

Objective: The objective of the present study was to evaluate the effects of implementing a systematic Drug Utilization Review (DUR) system on contraindicated drug use and pharmaceutical expenditures in Korea. Methods: A literature search was conducted using search engines such as PubMed, EMBASE, NDSL, and RISS for relevant systematic studies. The database search was performed and updated in April 2018. Two independent reviewers evaluated the abstracts to find potentially eligible articles. Results: In total, 1433 potentially eligible studies were selected, and 11 articles were eventually shortlisted for inclusion in the present review system. The outcome showed that contraindicated drug use decreased after implementation of the DUR system in Korea. The analysis also showed that the DUR system contributed to a reduction in pharmaceutical expenditures. Conclusions: Our study showed that implementing the DUR system reduced both contraindicated drug use and pharmaceutical expenditures in Korea.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.295-311
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• 2023

Purpose - This study investigates how review length and sentiment impact consumers' purchase intentions, using real online reviews as the data source. The study aims to understand how the length and tone of a review affect a potential buyer's decision-making process when considering a purchase. Design/methodology/approach - A 2 (comment length: long vs. short) × 2 (comment sentiment: positive vs. negative) × 2 (product type: practical vs. hedonic) experiment was conducted. Findings - Results indicate that longer reviews have a greater impact on consumers' perceived usefulness compared to short reviews, but do not affect purchase intentions. Review sentiment is found to have a stronger impact than review length, especially for negative sentiment. The study also suggests that consumers pay more attention to reviews of practical products, and that reviews have less influence on hedonic products. Research implications or Originality - The implications of these findings are relevant for both merchants managing reviews and consumers reviewing products.The results of this research could help businesses and marketers optimize their online review strategies to maximize their impact on consumer behavior.

• Journal of Distribution Science
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• v.16 no.4
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• pp.21-34
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• 2018

Purpose - The objective of this research is to a) examine the effects of online reviews, posted on online distribution channels, on the change of consumers' attitudes and booking intention by distinguishing three types of online review valence: positive, negative and neutral review valence, and b) to investigate the combined effect of the inclination of online review and perceived usefulness of reviews on consumers' attitude change. Research design, data, and methodology - An experimental design was used by creating a mimicked hotel company's website and online reviews extracted from several online distribution channels such as online travel agencies (OTAs). A total of 414 respondents were randomly assigned to a type of review valence. Results - The results showed that the valence of positive reviews has a significant effect on the positive change of attitude and booking intention. However, the effect of the valence of negative reviews on the change of booking intention was not statistically significant compared to that of the valence of neutral reviews. Conclusions - The results offer some insights into the effect of online reviews on consumers' decision making processes and have important managerial implications for companies that operate online distribution channels in terms of their online marketing and the distribution of service products.

• Archives of Craniofacial Surgery
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• v.25 no.3
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• pp.116-122
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• 2024

Background: Due to the importance of evidence-based research in plastic surgery, the authors of this study aimed to assess the accuracy of ChatGPT in generating novel systematic review ideas within the field of craniofacial surgery. Methods: ChatGPT was prompted to generate 20 novel systematic review ideas for 10 different subcategories within the field of craniofacial surgery. For each topic, the chatbot was told to give 10 "general" and 10 "specific" ideas that were related to the concept. In order to determine the accuracy of ChatGPT, a literature review was conducted using PubMed, CINAHL, Embase, and Cochrane. Results: In total, 200 total systematic review research ideas were generated by ChatGPT. We found that the algorithm had an overall 57.5% accuracy at identifying novel systematic review ideas. ChatGPT was found to be 39% accurate for general topics and 76% accurate for specific topics. Conclusion: Craniofacial surgeons should use ChatGPT as a tool. We found that ChatGPT provided more precise answers with specific research questions than with general questions and helped narrow down the search scope, leading to a more relevant and accurate response. Beyond research purposes, ChatGPT can augment patient consultations, improve healthcare equity, and assist in clinical decision-making. With rapid advancements in artificial intelligence (AI), it is important for plastic surgeons to consider using AI in their clinical practice to improve patient-centered outcomes.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.135-145
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• 2022

To improve audit quality, certain Chinese auditing firms have added a third-level review by an additional signing auditor to the general evaluation by a signing auditor team consisting of an engagement auditor and a partner. Nonetheless, our research-based on 36,033 firm-year observations from 2004 to 2019 reveals that compared to the general review system, auditor teams under the three-level review system are less likely to issue modified audit opinions when abnormal financial conditions arise. This finding suggests that, while larger auditor teams' knowledge, experience, and information advantages can theoretically sharpen their judgment, their performance is more susceptible to interference from divergent opinions, the diffusion of responsibility, and lower energy invested by individual auditors, ultimately impairing their judgment regarding the audited enterprises' abnormal financial conditions. That is, the three-level review system, which aims to improve audit quality, actually worsens audit quality. This conclusion remains valid after the problems of heteroscedasticity and endogeneity are addressed by using firm-level cluster robust standard errors and two-stage regression. We hope that our research will draw the attention of auditing firms, prompting them to reconsider the rationality of the three-level review system.