• Journal of Information Technology Services
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• v.13 no.4
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• pp.93-107
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• 2014

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.181-196
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• 2014

Many studies have been studied in the Information Technology (IT) area such as Information Systems, Business, Industrial Engineering, Computer Science, Data Analytics and so on. Although various fields for IT exist, searching experts and reviewers in IT journals are subjective. The related journals have made efforts to assign experts for the qualified review. This study conducted developing the framework for understanding and evaluating the experts among co-authors and reviewers through social network analysis. To explore the findings, we collected data of the co-authored network and the reviewer network of the Korea Society of IT Services Journal. Totally, 545 authors for submissions and 314 co-authors were used for analyzing the co-authored network. To analyze the network, we divided two networks as a network for 545 papers and a network of 316 papers excluded 229 single authored-papers. In the findings, we found out various researchers published their papers with collaborations. Also, authors who have high scores of centrality can be said as experts for specific fields. In addition, we analyzed 358 data of reviewers from 2005 to 2011. About 50 reviewers have reviewed the submitted papers based on their expertise since 2005. Peculiarly, the expertise and the qualified review in Korea Society of IT Services Journal were identified in that almost reviewers do not review various papers at a time based on low degree measures and network density.

• Asia pacific journal of information systems
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• v.29 no.2
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• pp.181-202
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• 2019

The purpose of this study is to explore the effect of different types of simultaneous presentation (i.e., reviewer information, textual and visual content, and similarity between textual-visual contents) on review usefulness and review enjoyment in online restaurant reviews (ORRs), as they are interrelated yet have rarely been examined together in previous research. By using Latent Dirichlet Allocation (LDA) topic modeling and state-of-the-art machine learning (ML) methodologies, we found that review readability in textual content and salient objects in images in visual content have a significant impact on both review usefulness and review enjoyment. Moreover, similarity between textual-visual contents was found to be a major factor in determining review usefulness but not review enjoyment. As for reviewer information, reputation, expertise, and location of residence, these were found to be significantly related to review enjoyment. This study contributes to the body of knowledge on ORRs and provides valuable implications for general users and managers in the hospitality and tourism industries.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.538-547
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• 2021

This study seeks to derive game design elements that turn out game streaming-friendly through the analysis of Internet game streaming. To this end, this study surveyed previous studies on the motivation of watching internet game broadcasting and simplified the motivations to 'Expertise' and 'Amusement', the goal that game streaming should aim for, and divided streamer's streaming types into 'Reviewer', 'Master', 'Entertainer' and 'Acrobat' by those two options. Based on the categories, this study analyzed game streaming videos of various genres and confirmed that both the number of videos and the number of views by the streaming type were the highest in the 'Acrobat' group. In addition, the analysis shows that and revealed different figures by the type although they belong to the similar genre. By comparing and analyzing the systems and content elements of the two games, this study identified 's advantages in three points-Fortune, Setup Time, Control View- and finally suggested some guidelines for streaming-friendly game planning.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.27-42
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• 2017

Objectives : This study analyzes the characteristics of hospital organization structures, insurance claims reviews and assessment tasks and their effects on hospitals in Pusan. Methods : The data for this study were collected through interview and self-administered surveys in 109 hospitals. The study included only - hospitals with a minimum of 50beds and excluded those providing only dental, psychiatric, or long-term care. Results : The findings of this study state that the number of beds has an influence on the organizitional structure. Conclusions : Hospital managements should seek human resources management(the insurance claims reviewer and evaluator) schemes that take into account the characteristics of the medical institution. In addition, insurance claims review and assessment tasks in hospitals require considerable knowledge and experience, and hospitals should be equipped with staff that have the relevant expertise. Therefore, to further deepen knowledge, comprehensive training should be continuously carried out in order to produce specialists in claims review and assessment.

• Knowledge Management Research
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• v.23 no.2
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• pp.253-276
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• 2022

Online reviews attract much attention because they play an essential role in consumer decision-making. Therefore, it is necessary to investigate the review attributes that affect the perceived helpfulness of consumers. However, most previous studies on the helpfulness of online reviews mainly focus on quantitative factors such as review volume and reviewer attributes. Recently, some studies have investigated the impact of review content and linguistic style matching on consumers' purchase decision-making. Those studies show that consumers consider additional review attributes when evaluating reviews in decision-making. To fill the research gap with existing literature, we investigated the impact of review content and linguistic style matching on review helpfulness. Moreover, this study investigated how the reviewers' expertise moderates the effect of the review content and linguistic style matching on the review helpfulness. The empirical results show that positive affective content has a negative effect on the review helpfulness. The negative affective content and linguistic style matching positively affect review helpfulness. Review expertise relieved the impact of negative affective content and linguistic style matching on review helpfulness. According to the mechanism confirmed in this study, online e-commerce companies can achieve corporate sales growth by identifying factors affecting review helpfulness and reflecting them in their marketing strategies.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.83-90
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• 2023

This study aims to determine the direct effect of positive online reviews, negative online reviews, the usefulness of online reviews, reviewers' expertise, timeliness of online reviews, the volume of online reviews, and comprehensiveness of online reviews on accommodation booking intentions and also the indirect effect of positive online reviews on the intention of booking accommodations through trust as mediation. Research respondents are users of the accommodation booking application in Yogyakarta. Hypothesis testing was carried out using SEM (Partial Least Square). Data was collected by distributing questionnaires to 135 respondents. The results of this study indicate that the Usefulness of Online Reviews, Volume of Online Reviews, and Comprehensiveness of Online Reviews have a direct positive and significant influence on the accommodation booking Intention of booking application users in Yogyakarta. The variables of Negative Online Reviews and Timeliness of Online Reviews have negative and significant influences on the accommodation booking Intention of booking application users in Yogyakarta. Positive Online Reviews and Reviewer Expertise variables are not significant in this study. At the same time, the Trust variable has a full mediation relationship in an indirect relationship between the Positive Online Reviews variables and the accommodation booking Intention of booking application users in Yogyakarta.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.321-330
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• 2015

In journal manuscript submission and review systems, authors can submit their manuscript at any time and editorial members are struggling to find proper reviewers for the submitted manuscripts and assign them to such reviewers. In order to solve this problem, we propose a greedy algorithm and a genetic algorithm to recommend proper reviewers for the submitted manuscripts. The proposed algorithms evaluate reviewers' speciality for the submitted manuscripts by using the submitted manuscripts' keywords and the reviewers expertises. In addition to that, they take the fairness among the reviewers' speciality and the review frequency for consideration. To verify the proposed algorithms, we apply them to the JIPS manuscript submission and review system that the Korea Information Processing Society has operated, and present the results in this paper. By performing the performance evaluation of the proposed algorithms, we finally show that the genetic algorithm outperforms the greedy algorithm in terms of the recommended reviewers' fitness.

• Archives of Plastic Surgery
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• v.49 no.4
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• pp.538-542
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• 2022

Performing the first peer review of a plastic surgical research article can be an overwhelming task. However, it is an essential scholarly skill and peer review is used in a multitude of settings: evaluation of journal articles, conference abstracts, and research proposals. Furthermore, peer reviewing provides more than just the opportunity to read and help improve other's work: peer reviewing can improve your own scientific writing. A structured approach is possible and recommended. In these ten tips, we provide guidance on how to successfully conduct the first peer reviews. The ten tips on peer reviewing concern: 1) Appropriateness: are you qualified and prepared to perform the peer review? 2) Familiarization with the journal and its reviewing guidelines; 3) Gathering first impressions of the paper followed by specific tips for reviewing; 4) the abstract and introduction; 5) Materials, methods, and results (including statistical considerations); and 6) discussion, conclusion, and references. Tip 7 concerns writing and structuring the review; Tips 7 and 8 describe how to provide constructive criticism and understanding the limits of your expertise. Finally, Tip 10 details why-and how-you become a peer reviewer. Peer review can be done by any plastic surgeon, not just those interested in an academic career. These ten tips provide useful insights for both the aspiring and the experienced peer reviewer. In conclusion, a systematic approach to peer reviewing is possible and recommended, and can help you getting started to provide quality peer reviews that contribute to moving the field of plastic surgery forward.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1119-1121
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• 2014

저널 논문 투고 및 심사시스템에서의 논문 제출은 상시 이루어진다는 특성 때문에 논문이 제출된 시점에 적절한 심사자들을 찾아 배정하기란 쉽지 않은 문제이다. 본 논문에서는 이러한 문제를 해결하기 위하여 제출된 논문에 적절한 심사자들을 추천해주는 알고리즘을 제시하고자 한다. 심사자 추천 알고리즘에서는 해당 논문의 전문가를 심사자로써 추천하기 위하여 제출된 논문들의 키워드(Keyword)와 심사자들의 전문지식태그(Expertise Tag) 정보를 활용한다. 또한 심사자들의 기존의 심사 정보를 토대로 심사활동지수를 평가하여 이를 심사자 추천에 활용하고자 한다. 제안하는 알고리즘을 검증하기 위하여 본 논문에서는 실제 저널 논문투고시스템에 추천 알고리즘을 적용해보고 이의 결과를 제시한다.