• Knowledge Management Research
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• v.22 no.1
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• pp.243-267
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• 2021

Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.613-622
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• 2020

The South Korean government plans for a 37 % reduction in CO2 emissions against business as usual by 2030. Subsequently, the Ministry of Land, Infrastructure and Transport declared a 26.9 % reduction target in greenhouse gas emissions from buildings by 2020 and established the Green Standard for Energy and Environmental Design (G-SEED) to help improve the environmental performance of buildings. Construction companies often work with consulting firms to prepare for G-SEED certification. In the process, owing to inefficient data sharing and work connections, it is difficult to achieve economic efficiency and obtain certification. The objective of this study was to develop an economic model to assist contractors in achieving the required G-SEED scores for materials and resources. To do this, we automated the process for material comparison and selection on the basis of an analysis of actual consulting data, and developed a model that selects material alternatives that can meet the required scores at a minimum cost. Information on materials is input by applying a genetic algorithm to the optimization of alternatives. When the model was applied to actual data, the construction cost could be lowered by 79.3 % compared with existing methods. The economical material selection model is expected to not only reduce construction costs for owners desiring G-SEED certification but also shorten the project design time.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.463-477
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• 2021

In this study, we investigated the impact of empowering leadership on intrinsic motivation, job crafting, and job performance. The role of intrinsic motivation and job crafting in the relationship between empowering leadership and job performance was verified. Covariance structure analysis was conducted to verify the research hypothesis using questionnaire data collected from SME workers in Yangsan, Ulsan, and Gyeongju. The results were as follows. First, empowering leadership has a significant influence on intrinsic motivation, job crafting. Second, empowering leadership did not have a significant influence on job performance. Third, intrinsic motivation has a significant influence on job crafting but intrinsic motivation did not have a significant influence on job performance. Fourth, job crafting has a significant influence on job performance. Finally, intrinsic motivation plays a partial mediating role in the relationship between empowering leadership and job crafting. job crafting plays a full mediating role in the relationship between empowering leadership and job performance. The results of this study suggest that employees' intrinsic motivation and job crafting should be promoted through the leader's empowering leadership in order to improve job performance.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.1-12
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• 2021

This study aims to verify the mediating effect of social support in the relationship between online social relations service utilization(PC, mobile) and life satisfaction for middle-aged and Older Adults. For this purpose, the '2017 Digital Devide Survey' data collected by the National Information Society Agency was used, and among 2,300 middle-aged and Older Adults aged 55 or older, 1,488 people using the Internet were selected as the final analysis target. Then, using the structural equation, the mediating effect of social support was verified in the between online social relations service utilization and life satisfaction. As a result, it was verified that higher levels of mobile-based social relations service utilization have a positive effect on social support and life satisfaction. Also, it was confirmed that social support has a mediating effect in the relationship between the utilization of mobile-based social relations service and life satisfaction. However, the utilization of PC-based social relations services did not show to affect social support and life satisfaction. Therefore, the results of this study can be used as basic data for practical measures to increase the connection between mobile-based social relationship service education and social support promotion education for middle-aged and Older Adults. In addition, the study is meaningful in that it overcomes the limitations of measuring the use of online social relations services as one, and selects tools that are practically effective by dividing them into mobile and PC.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.43-54
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• 2020

This paper investigates the causal impact of the increase in institutional distance between two geographic regions on the flow of cross-border Venture Capital (VC) between the regions. While cross-border VCs are believed to have competitive advantages at identifying and managing promising startups in a local market compared to local counterparts, the discrepancy in institutional characteristics between two markets exacerbates the difficulty of credible information exchange and negotiation, significantly increasing transaction cost related to a cross-border venture capital investment. This study conducts a difference-in-difference analysis to examine the relationship between institutional distance and the flow of cross-border VC investment using the fact that the official adoption of the Euro currency by member countries of the European Union except the UK created an institutional chasm between the UK and other EU member countries. The outcomes of the analysis suggests that UK-based VCs significantly decreased the VC investment into EU-based startups and that EU-based VCs reduced the investment into UK-based startups. The results have meaningful implications for understanding the impact of the change in institutional difference on cross-border VC investment, which seems to increasingly take place with the recent trend of de-globalization and the rise of protectionism.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1349-1365
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• 2020

In recent years, in the fields of smart cities and digital twins, research on model generation is increasing due to the advantage of acquiring actual 3D coordinates by using point clouds. In addition, there is an increasing demand for a solid model that can easily modify the shape and texture of the building. In this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. Accordingly, in this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. In the first step, the ground points were removed through the planarity analysis of the point cloud. In the second step, building area was extracted from the ground removed point cloud. In the third step, detailed structural area of the buildings was extracted. In the fourth step, the shape of 3D building models with 3D coordinate information added to the extracted area was created. In the last step, a 3D building solid model was created by giving texture to the building model shape. In order to verify the proposed method, we experimented using point clouds extracted from unmanned aerial vehicle images using commercial software. As a result, 3D building shapes with a position error of about 1m compared to the point cloud was created for all buildings with a certain height or higher. In addition, it was confirmed that 3D models on which texturing was performed having a resolution of less than twice the resolution of the original image was generated.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.32-48
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• 2021

This study attends to the phenomenon of major domestic corporations advertising their respective brands on official YouTube channels, reflecting the increasing importance of YouTube as a medium for marketing communication. One hundred vlogs of corporations with an official YouTube channel were content analyzed and their banded content attributes, advertising model's characteristics, advertising appeals, creative strategy, and consumer responses were investigated. Results show that the vlogs of employees were generally formulated with information on their colleagues' tasks and interviews. Findings also demonstrate that the characteristics of the model featured in vlogs had the most significant effects on consumer responses. Amongst the creative strategies, the user image had positive effects. However, branded content characteristics and advertising appeal types were found to have relatively weak effects. This research offers a theoretical understanding of the factors that influence consumer responses to the new type of advertising, corporate vlogs, in terms of branded content characteristics and advertising strategies. From a strategic point, it is anticipated that the reinforcement of user image and the utilization of an attractive model will produce positive responses from consumers.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.3
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• pp.541-550
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• 2021

While open-air compost has value as a source of nutrients for crops in agricultural land, it acts as a pollution that adversely affects the environment during rainfall, and management is required. In this study, it was intended to analyze the accuracy of calculating open-air compost volume using fixed-wing UAV (unmanned aerial vehicle) capable of acquiring a wide range of images and automatic path flights and to identify the possibility of utilization. In order to evaluate the accuracy of calculating the three open-air compost volume, ground LiDAR surveys and precision surveys using a rotary UAV were performed. and compared with the open-air compost volume acquired through a fixed-wing UAV. As a result of comparing the calculation of open-air compost volume based on the ground LiDAR, the error rate of the rotary-wing was estimated to be ±5%, and the error rate of fixed-wing was -15 ~ -4%. one of three open-air compost volume calculated by fixed-wing was underestimated as about -15 %, but the deviation of the open-air compost volume was 2.9 m3, which was not significant. In addition, as a result of periodic monitoring of open-air compost using fixed-wing UAV, changes in the volume of open-air compost with time could be confirmed. These results suggested that efficient open-air compost monitoring and non-point pollutants in agricultural for a wide range using fixed-wing UAV is possible.

• Journal of the Korean Geotechnical Society
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• v.37 no.8
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• pp.51-58
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• 2021

South Korea, as the 10th country to join the Artemis program led by NASA, is actively supporting various researches related to the lunar exploration. In particular, the utilization of water as a resource in the Moon has been focused since it was discovered that ice exists at the lunar pole as a form of frozen soil. Information on the thermal conductivity of lunar regolith can be used to estimate the existence for ice water extraction by thermal mining. In this study, the vacuum pressure effect on thermal conductivity of KLS-1 was investigated with a DTVC (Dusty Thermal Vacuum Chamber). The reliability of KLS-1 was reconfirmed through comparison with thermal conductivity of known standard lunar regolith simulants such as JSC-1A. An empirical equation to assess thermal conductivity considering dry unit weight and vacuum pressure was proposed. The results from this study can be implemented to simulate lunar cryogenic environment using the DTVC.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.405-414
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• 2021

This study predicted waxy corn harvest date in South Korea using 30-year (1991-2020) hindcasts (1-6 month lead) produced by the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. To estimate corn harvest date, the cumulative temperature is used, which accumulated the daily observed and predicted temperatures from the seeding date (5 April) to the reference temperature (1,650~2,200℃) for harvest. In terms of the mean air temperature, the hindcasts with a bias correction (20.2℃) tends to have a cold bias of about 0.1℃ for the 6 months (April to September) compared to the observation (20.3℃). The harvest date derived from bias-corrected hindcasts (DOY 187~210) well simulates one from observation (DOY 188~211), despite a slight margin of 1.1~1.3 days. The study shows the possibility of obtaining the gridded (5 km) daily temperature and corn harvest date information based on the cumulative temperature in advance for all regions of South Korea.