• Knowledge Management Research
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• v.19 no.4
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• pp.1-17
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• 2018

Hotel consumers tend to rely on online reviews to reduce the risk to hotel products when they book hotel rooms because hotel products are high-risk products due to their intangibility. However, the development of ICT has caused information load, and it is an important issue to be perceived as useful information to consumer because a large amount of information complicates the decision making process of consumers. Drawn from Heuristic-Systematic Model(HSM), the present study explored the role of heuristic and systematic cues composing an online review influencing consumers' perception of hotel online reviews. More specifically, this study identified reviewers' identity, level of the reviewer, review star ratings, and attached hotel photo as heuristic cue, while review length, cognitive level of review and negativity in review as systematic cues. The binary logistic regression was adopted for analysis. This study found that only systematic cues of online review were found to affect the usefulness of it. Moreover, we preceded further study examining the moderating effect of seasonality in the relationships between systematic cues and usefulness.

• International Journal of Automotive Technology
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• v.2 no.1
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• pp.1-7
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• 2001

This paper presents further investigation into the effect of over-expansion cycle in a spark-ignition engine. On the basis of the results obtained in previous studies, several combinations of late-closing (LC) of intake valve and expansion ratio were tested using a single-cylinder production engine. A large volume of intake capacity was inserted into the intake manifold to simulate multi-cylinder engines. With the large capacity volume, LC can decrease the pumping loss and then increase the mechanical efficiency. Increasing the expansion ratio from 11 to 23.9 with LC application can produce about 13% improvement of thermal efficiency which was suggested to be caused by the increased cycle efficiency. The decrease of compression ratio from 11 to 5.5 gives little effect on the thermal efficiency if the expansion ratio could be kept constant. Thus, the expansion ratio is revealed to be a determining factor for cycle efficiency, while compression ratio is no more important, which suggests the usefulness of controlling the intake charge with intake valve closure timing. These were successfully explained by simple thermodynamic calculation and thus the mechanism could be verified by the estimation.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.184-193
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• 2021

This study aims to understand the effectiveness of the FRIENDS program in improving the resilience of adolescents. For this purpose, the following research questions were chosen: 1) What effect does the FRIENDS program have on the resilience of adolescents? 2) What difference does the FRIENDS program make for the subfactors of resilience in adolescents? 3) After completing the FRIENDS program, what sustained effects are there on adolescent resiliency? They were divided into experimental and control groups and the results from before and after group coaching as well as follow-up results were analyzed using SPSS 25.0. For measuring resilience, KRQ-53 created by Juhwan Kim was utilized in this study. Finally, based on prior research and under the guidance of his advisor, the author adapted the FRIENDS program to fit the study subjects' circumstances. This program was conducted across 10 sessions which were 50 minutes each. The study found that the FRIENDS group coaching program had a positive effect on enhancing the resilience of adolescents.Based on the discussion and research findings.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.685-696
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• 2013

The purpose of the present study is to explore the career development barriers of female doctoral degree holders in education. The study occupied in-depth interview with 42 female doctoral degree holders in education. The results were as followed; First, academic advisor highly influenced the career development female doctoral degree holders through their academic activities. Second, they had experiences regarding glass ceiling effect in workplace. Third, marriage was a critical issue for both of the married and single female doctoral degree holders. Fourth, family and relatives' support positively impact on their career will, and also their strong career goal was beneficial way to break their career barriers. Also, the study suggested contextural factor was very significant on career behavior of female doctoral degree holders. Therefore, policy maker, scholars, and students should have strong attention to female students' career guidance and development in various way. The results of the study discussed in relation to the existing literature, with reference to women's career development and career barriers, and then implication for the future research were suggested.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.115-124
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• 2019

The purpose of this study is to analyze the housing price variation within the redevelopment project district, affected by the characteristics of project and implementation stage. This study implemented the hedonic price model employing the actual transaction price with 24 dependent variables from 2006 to 2016 inside 19 redevelopment districts in Seoul. Research finding indicates that the larger ratio of the number of tenants and general distribution, the smaller ratio of rented households and the more positive effect of housing price. It is noteworthy that this study demonstrated the actual transaction price of houses located within the project districts by implementation stage. This study is expected to help the policy makers, the developers and the investors make more reliable decisions on the feasibility study related to the redevelopment project.

• Journal of Animal Reproduction and Biotechnology
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• v.36 no.4
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• pp.261-269
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• 2021

Because sows are industrially vital for swine production, monitoring for their health or disorder status is important to ensure high reproductive performance. Especially, ambient temperature changes in different season, especially during summer, are directly influenced to the reproductive performance of sows. Although the serum biochemical parameters are widely applied in the veterinary medicine with wide ranges for the physiological process, the values are also influenced by several factors such as age, breed, gender, and stress. In addition, domestic sows in Korea-specific reference interval (RI) for serum biochemistry has not been established yet. Therefore, the present study was aimed to evaluate seasonal variation of RIs in the serum biochemistry in domestic sows in Korea at different seasons and to establish normal RIs using a RI finding program (Reference Value Advisor). Significant difference (p < 0.05) on the different seasons were identified in several serum biochemical parameters including BUN, CRE, GGT, GLU, ALB, TP, LDH and Na in sows. Therefore, we further established RIs, specific in domestic sows in Korea regardless of season. The established RIs based on the serum biochemical values provide a baseline for interpreting biochemical results in the domestic sows in Korea, regardless of seasonal effect. It may contribute to develop a strategy for better reproductive performance by improving breeding management practice and evaluating health of pig herds, which facilitate to avert the economic loss in summer infertility in sows.

• Journal of agricultural medicine and community health
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• v.34 no.2
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• pp.214-222
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• 2009

Objectives: This study was performed to evaluate the effect of navigator education program for cancer screening, which is designed for improvement in knowledge of cancer, perceived self efficacy and communication skill of the breast and cervical cancer screening for middle-aged and aged women in urban areas. Cancer screening navigator is lay health advisor who are educated for providing information, emotional support about cancer screening at the community. Methods: The subjects were 33 women at the age of 40-69 and educated for 12 hours through the education program. The control group subjects were 30 women. For statistical analysis, descriptive statistics and paired t-test were used with SPSS WIN 14.0. Results: Contents of education program were case of cancer early detection, benefit of breast cancer screening, benefit of cervical cancer screening, health care system for cancer screening, role of cancer screening navigator, communication skill, transtheoretical model and role play. Knowledge of cancer(t=4.267, p=0.000) and communication skill(t=4.947, p=0.000) of the women increased significantly after implementing the 12 hours education program. Conclusion: The results suggest that navigator education for cancer screening has an effect in increasing knowledge of cancer, and communication skill scores.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.77-90
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• 2019

In this study, we investigated which message provider is effective in a virtual reality (VR) environment for individuals with different needs with regard to affect (need for affect [NFA]) and cognition (need for cognition [NFC]). According to Haddock et al (2008), individuals with high NFA were more influenced to change their behavior by the emotional aspects of a message, whereas individuals with high NFC were more influenced by the cognitive aspects of the same message. We hypothesized that individual differences in needs could affect not only receipt of the message but also the acceptability of the message provider. For example, someone with high NFA might accept messages more easily from an acquaintance than from experts. In the VR environment, the appearance of the message provider could be manipulated in a way that makes him or her more familiar to the person receiving the message. Accordingly, in order to promote the effectiveness of message providers in a VR environment according to the individual difference in needs, we measured the level of the preference and self-efficacy according to needs (NFA or NFC), type of message provider (expert, significant other, or other), and VR device (text or VR). Contrary to what we expected, the results showed that there was no matching effect between the needs and the message provider. However, we found that level of preference and self-efficacy were significantly high when a VR device was worn only by participants with high NFA. This result suggests that a VR environment is more suitable for providing health advice to people with high NFA. In addition, the novelty of this study is that we tried to find the tailored message provider on health advice in VR environment and it is in the early stage of the research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.45-60
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• 2020

The Brain Korea 21 (i.e., BK21) is a state-led higher education funding project that started in 2013. Previous literature investigating the effectiveness of the project mainly focused on massive quantitative outcomes of funded teams, and many studies reporting only self-reported data of graduate students who participated in the project. Therefore, there were not many BK21 studies that thoroughly examined the graduate students' performance, ability, satisfaction, etc. This study aims to determine the effect of the BK21 project participation on graduate students' academic performance, using objective (the number of published papers), self-rating (graduates' satisfaction), and other-rating (advisor's performance evaluation) data, which were sampled from 2013 to 2019 from a single funded team on a one-departmental-unit. The results showed that the participating graduate students had more published papers, and had higher performance evaluation scores in research, and overall abilities, than the non-participating graduate students. Further, participating students were largely satisfied with BK21 supports. This study has significance in that it demonstrates the positive influence of the BK21 project on graduate students' academic performance and satisfaction by the thorough investigation of a single social science funded team.