• The Journal of Economics, Marketing and Management
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• v.11 no.3
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• pp.47-66
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• 2023

Purpose: The purpose of this study is to identify research trends related to ESG by domestic and overseas researchers so far, and to present research directions and clues for the possibility of applying ESG to Korean companies in the future and ESG practice through comparison of derived topics. Research design, data and methodology: In this study, as of October 20, 2022, after searching for the keyword 'ESG' in 'scienceON', 341 domestic papers with English abstracts and 1,173 overseas papers were extracted. For analysis, word frequency analysis, word co-occurrence frequency analysis, BERTopic, LDA, and OLS regression analysis were performed to confirm trends for each topic using Python 3.7. Results: As a result of word frequency analysis, It was found that words such as management, company, performance, and value were commonly used in both domestic and overseas papers. In domestic papers, words such as activity and responsibility, and in overseas papers, words such as sustainability, impact, and development were included in the top 20 words. As a result of analyzing the co-occurrence frequency of words, it was confirmed that domestic papers were related mainly to words such as company, management, and activity, and overseas papers were related to words such as investment, sustainability, and performance. As a result of topic modeling, 3 topics such as named ESG from the corporate perspective were derived for domestic papers, and a total of 7 topics such as named sustainable investment for overseas papers were derived. As a result of the annual trend analysis, each topic did not show a relatively increasing or decreasing tendency, confirming that all topics were neutral. Conclusions: The results of this study confirmed that although it is desirable that domestic papers have recently started research on consumers, the subject diversity is lower than that of overseas papers. Therefore, it is suggested that future research needs to approach various topics such as forecasting future risks related to ESG and corporate evaluation methods.

• Knowledge Management Research
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• v.16 no.4
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• pp.169-190
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• 2015

The status of small and medium-sized enterprises has been changed into more independent business entities rather than simply subcontractor so that the utilization of specialized knowledge has been much more necessary for the survival in the market. However, small and medium-sized enterprises, it is difficult to sufficient investment in knowledge services due to limited resources relative to large enterprises and demand for knowledge services business of government support is growing. For this reason, it is important to measure accurately the demand for knowledge services of small and medium-sized enterprises in knowledge management for effective utilization of knowledge service. In this study, we analyzed previous studies on small and medium-sized enterprises knowledge services that can be utilized in a comprehensive way. As a result, we developed knowledge service needs assessment model based on five critical success factors for continual growth and 12 types of knowledge service. This model has been modified and supplemented through expert meeting using delphi research method and topic modeling analysis using secondary data. This study is attempted to appropriately measure necessary knowledge services for small and medium-sized enterprises so that generated the evaluation model of knowledge service demands, comprehensively dealing with core knowledge services for many kinds of business entities. It is expected that the developed model will be a useful tool to understand and evaluate knowledge services demands of enterprises.

• Journal of Korean Society of Rural Planning
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• v.27 no.4
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• pp.83-96
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• 2021

This study analyzes the perception of public value created by Korea Rural Community Corporation, a representative public corporation in the agricultural and rural sector. We categorize agricultural and rural public values as 'stable food supply,' 'conservation of national environment and nature,' 'formation and cultivation of water resources,' 'prevention of soil loss and flooding,' 'conservation of ecological system,' 'conservation of rural tradition and culture.' For the qualitative analysis, we apply content analysis. And, for the quantitative analysis, we use topic modeling and Latent Dirichlet Allocation (LDA) analysis which is used widely in the field of text-mining. Results show that internal perception for value suppliers are mainly created for 'stable food supply,' 'formation and cultivation of water resources,' and 'conservation of rural tradition and culture.' External perception for value demanders are created for all public values, but its evaluation and demand include various aspects including both positive and negative opinions.

• The Journal of Information Systems
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• v.31 no.2
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• pp.1-18
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• 2022

Purpose Customer review is a major factor in choosing certain restaurants. This study investigates the key factors affecting customer's evaluation about restaurants. With the recent intensification of competition among restaurants in the service industry, the analysis results are expected to provide in-depth insights for enhancing customer experiences. Design/methodology/approach We collected information and reviews provided at the restaurants in the Kakao Map platform. The information collected is based on the information of 3,785 restaurants in Daegu registered on Kakao Map. Based on the information collected, seven independent variables, including number of rating registered, number of reviews, presence or absence of safe restaurants, presence or absence of a posting about holding facilities, presence or absence of a posting about business hours, presence or absence of a posting about hashtags, and presence or absence of break times, were used. Dependent variable is restaurant rating. Multiple regression between independent variables and restaurant rating was carried out. Findings The results of the study confirmed that number of rating registered, presence or absence of a posting about business hours, and presence or absence of a posting about hash tags have an positive effects on the restaurant rating. The number of reviews had a negative effect on the restaurant rating. In addition, in order to confirm the role of customer's reviews, we carried out LDA topic modeling. We divided the topics into the positive review and the negative reviews.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.121-133
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• 2023

Sustainability is bound to be an eternal topic for managers who run companies. This sustainability is required not only by managers but also by various stakeholders. As a result, many companies are implementing sustainable management and are actively utilizing ESG, which has become a hot topic since 2020. In this study, we examined sustainable management and ESG, focusing on LX Hausys, which was the first in the interior industry to write a sustainable management report and received an ESG evaluation grade A for five consecutive years. As LX Hausys promoted sustainable management, it naturally focused on ESG management. As a result of meeting with LX Hausys HR executives and ESG managers for this study, ESG is not accepted as a new one. Rather, he emphasized that there is no need to approach this approach to ESG with grandeur and difficulty. This approach is consistent with the argument that ESG is a true approach to sustainable growth, not a management strategy based on the times. Like LX Hausys, ESG management can be consistently and continuously performed when implementing ESG strategies based on the resources and capabilities of companies, which can be seen as leading to corporate sustainability. This ESG management will be the right way to create a permanent company.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.2
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• pp.29-42
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• 2024

As a global response to climate and biodiversity challenges, there is an emphasis on the conservation and restoration of ecosystems that can simultaneously reduce carbon emissions and enhance biodiversity. This study comprised a text analysis and keyword extraction of 1,100 research papers addressing nature restoration in Korea, aiming to provide a quantative and systematic evaluation of domestic research trends in this field. To discern the major research topics of these papers, topic modeling was applied and correlations were established through network analysis. Research on nature restoration exhibited a mainly upward trend in 2002-2022 but with a slight recent decline. The most common keywords were "species," "forest," and "water". Research topics were broadly classified into (1) predictions of habitat size and species distribution, (2) the conservation and utilization of natural resources in urban areas, (3) ecosystems and landscape managements in protected areas, (4) the planting and growth of vegetation, and (5) habitat formation methods. The number of studies on nature restoration are increasing across various domains in Korea, with each domain experiencing professional development.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.1
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• pp.22-29
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• 2012

Students have to effectively get lots of knowledge and technique for practical education. Usability is one of the most important factors that have to be considered for user-centered design. Students who study design have to recognize the importance of usability and learn the method of problem solving considering usability. For this, the application of project-based and participatory learning for usability education was studied. Study team was organized including graduate, undergraduate, and high school students. Students team identified a research topic, and then studied the topic. Usability evaluation and design improvement was performed in this study. Students could learn usablity evaluation method and design method through the process.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.31-48
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• 2014

The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated researchers to design systems that can track and detect news better. iTDT focuses on user interaction, user evaluation, and user interfaces. Recently, increasing effort has been devoted to user interfaces to improve TDT systems by investigating not just the user interaction aspect but also user and task oriented evaluation. This study investigates the combination of the bag of words and named entities approaches implemented in the iTDT interface, called Interactive Event Tracking (iEvent), including what TDT tasks these approaches facilitate. iEvent is composed of three components, which are Cluster View (CV), Document View (DV), and Term View (TV). User experiments have been carried out amongst journalists to compare three settings of iEvent: Setup 1 and Setup 2 (baseline setups), and Setup 3 (experimental setup). Setup 1 used bag of words and Setup 2 used named entities, while Setup 3 used a combination of bag of words and named entities. Journalists were asked to perform TDT tasks: Tracking and Detection. Findings revealed that the combination of bag of words and named entities approaches generally facilitated the journalists to perform well in the TDT tasks. This study has confirmed that the combination approach in iTDT is useful and enhanced the effectiveness of users' performance in performing the TDT tasks. It gives suggestions on the features with their approaches which facilitated the journalists in performing the TDT tasks.

• Journal of the Korean Dietetic Association
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• v.14 no.3
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• pp.259-275
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• 2008

Children are an important target of health promotion activities due to the life long effects. Therefore, the purpose of this study was to evaluate a nutrition education program offered to primary school students by community health centers. Eight hundred and twenty-six children from 4 primary schools in Seoul voluntarily attended the program. Teachers taught the classes with materials that were provided to them. The subjects were asked to fill out a questionnaire before and then after completion of the program. The data were analysed by SPSS. The results showed that there were significant positive differences in the children's nutrition knowledge scores after the program (p<0.001). In terms of dietary attitude, the rate of 'yes' responses, as a desirable answer to many questions, had increased (p<0.001); however, this positive change in scores was not statistically significant. For dietary habit changes, it was shown that the proportion of children regularly eating breakfast five days a week had improved to 3.3%. And the proportion of children eating fast foods and instant foods decreased. There was no change in fruit intake, but vegetable intake increased (p<0.001). However, the children's overall dietary habit scores did not show a significant change. In the evaluation of the program, 52.3% of the subjects answered that was helpful, and they viewed 'fast food' as the most interesting topic, whereas 'nutrition labeling' was the most difficult topic in the program. The program's effectiveness was positive in terms of enhancing the 'nutrition knowledge', 'dietary attitudes', and 'dietary habits' of the children. Therefore, the above results indicate that this type of program, provided by community health centers, was effective for nutrition education.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.535-540
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• 2021

Multi-document refers to a document consisting of various topics, not a single topic, and a typical example is online reviews. There have been several attempts to summarize online reviews because of their vast amounts of information. However, collective summarization of reviews through existing summary models creates a problem of losing the various topics that make up the reviews. Therefore, in this paper, we present method to summarize the review with minimal loss of the topic. The proposed method classify reviews through processes such as preprocessing, importance evaluation, embedding substitution using BERT, and embedding clustering. Furthermore, the classified sentences generate the final summary using the trained Transformer summary model. The performance evaluation of the proposed model was compared by evaluating the existing summary model, seq2seq model, and the cosine similarity with the ROUGE score, and performed a high performance summary compared to the existing summary model.