• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.51-62
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• 2018

Purpose : This study aimed to provide primary data for developing a program to enhance communication competence by identifying the patient-centered communication competency level of Intensive Care Unit (ICU) nurses and the related factors. Method : Data were collected from August 28th to October 8th, 2015, from 199 ICU nurses working in 30 tertiary hospitals. The study questionnaire included items assessing the patient-centered communication competency of ICU nurses, nursing organizational culture, types of communication, the Teamwork Measurement Tool, the Perceived Nursing Work Environment tool, and the Wong & Law Emotional Intelligence Scale. The collected data were analyzed using descriptive statistics, a correlation test, and a multiple regression. Results : The ICU nurses' mean score on patient-centered communication competency was 3.97 points. The factors influencing the patient-centered communication competency level of ICU nurses were professionalism (p =.002), innovation-oriented organizational culture (p =.015), and emotional intelligence (p<.001). These variables explained 42.2% of the total variance in the patient-centered communication competency of ICU nurses. Conclusion : These findings suggest the need for developing a patient-centered communication competency improvement program that focuses on improving ICU nurses' professionalism and emotional intelligence, and facilitates the creation of an innovation-oriented organizational culture.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.81-93
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• 2021

In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.

• Culinary science and hospitality research
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• v.22 no.7
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• pp.22-35
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• 2016

This study presents to demonstrate the relationships among emotional intelligence, job engagement, and work performance as perceived by hotel employees. For conducting analysis in this study, 380 copies of the questionnaire were distributed to the employees in deluxe hotels in Seoul and 353 copies was used for statistical analysing by using SPSS 18.0. Current stud y found that the factors of hotel employees' emotional intelligence (other's emotion, control of emotion, self-emotion, and use of emotion) have a critical effect on the concentration job engagement. In addition, the elements of job engagement (concentration and job engagement) have a significantly effect on work performance. Based on these results, the study established that hotel employees' emotional intelligence and job engagement were important elements as key factors affecting the continuous work performance of the hotel industry. Through these study results, this study provides practical implications that help hotel employees to better understand their emotional factors are critical predictor of job engagement and it will be useful information for utilizing human resources and improve their work performance.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.47-56
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• 2020

The purpose of this study is to comprehensively analyze elementary school teachers' perceptions of the use of artificial intelligence in education. Recently, interest in the use of artificial intelligence has increased in the field of education. However, there is a lack of research on the perceptions of elementary school teachers using AI in education. Using descriptive statistics, multiple linear regression analysis, and semantic differential meaning scale, 69 elementary school teachers' perceptions of using AI in education were analyzed. As a results, artificial intelligence technology was perceived as most suitable method for assisting activities in class and for problem-based learning. Factors which influence the use of AI in education were learning contents, learning materials, and AI tools. AI in education had the features of personalized learning, promoting students' participation, and provoking students' interest. Further, instructional strategies or models that enable optimized educational operation should be developed.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.1-18
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• 2015

Recent trends of mobile convergence has already brought about many changes in our digitally-powered society. Especially, taking advantage of strengths of existing mobile devices and smart phones have already been established as a primary standard in the business intelligence world. Such high-powered digital devices equipped with mobile convergence functions are getting more momentum as app stores are prevailing. Basically, the app stores are administered by smart phone manufacturers, creating a new business ecosystem among app developers and end-users. However, there are paucity of studies tackling an issue about how users' repurchase intention of the apps is influenced by the service qualities of the app stores. In this respect, this study aims to investigate the effect of app store service quality on users' satisfaction and repurchase intention. As the value of loyal customers is incomparably high in app commerce, winning customers' loyalty is vital to the success of app stores. In this study, a customer is defined as one who has purchased goods or services at least once from the app stores. The proposed research model includes a number of constructs such as app perceptions, customer service, perceived ease of use, design, promotion, perceived consumer risk and connectivity. Empirical results revealed that perceived consumer risk has a negative relationship with consumer's perceived repurchase intention. All the other variables-app perceptions, customer service, perceived ease of use, design, promotion, connectivity- are found to be positively related with the repurchase intentions.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.313-319
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• 2024

The purpose of this study was to examine the mediating effect of emotional intelligence on college students' sense of community and psychological well-being. Accordingly, a survey was conducted targeting 267 college students attending universities in the Busan and Gyeongnam regions. For data analysis, the SPSS 21 program was used to check the general characteristics of the survey subjects, the mean, standard deviation, skewness, and kurtosis of the main variables. Correlation analysis was performed to check multicollinearity among the main variables, and mediation effects were examined. For this purpose, regression analysis was conducted according to the three-step verification method proposed by Barron and Kenny.The results of this study were as follows. First, college students' sense of community was found to have a significant impact on their psychological well-being. Second, the sense of community perceived by college students was found to have a significant impact on emotional intelligence. Third, emotional intelligence was found to have a significant impact on psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Accordingly, we strive to find and implement various ways to increase the sense of community that is closely related to the emotional intelligence skills and social participation of college students in the special situation of college, so that college students can form and sustain a happier and more satisfying life. We will have to help you do it.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.53-60
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• 2017

The purpose of this study was to identify the factors affecting intention and attitude of artificial intelligence technology(AI) of university students in healthcare using UTAUT model. Participants were 278 college students and the data were collected through self-reported questionnaire from May 15 to June 14, 2016. The collected data were analyzed using PASW Statistics/AMOS 22.0. The results were as follows. The effect of expectation factor, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology Intention. Factor of expectation effect, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology. As a result of verifying the significance of the indirect effect, it can be seen that the direct effect of the anxiety factor on the attitude factor is partially mediated by the use intention factor and the intention to use was partially mediated in the direct effect of the usefulness factor of the task on the attitude factor. This result means that it is important to increase the expectation factors, social effects, and perceived usefulness through accurate information based on facts and to reduce vague anxiety in order to increase the positive intention and attitude of university students' use of AI technology.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.315-330
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• 2023

The purpose of this study is to explain eco-tourists' behavioral intention based on exploring Extended Theory of Planned Behavior and Sustainable Intelligence as moderating variable. To do so, the survey was conducted on eco-tourists from Dongbaek-Dongsan wetland, Jeju-do between March. 12th and 30th, 2023. As a result, eco-tourists aged 50 years old and over, and from Jeju-do with their family members have more possibilities to visit Dongbaek-Dongsan wetland. Also, this study analyzed that independent variables including subjective norm, epistemic value, emotional value and attitude showed significant effects on behavioral intention. Further, sustainable intelligence as the moderating variable showed its moderation effects between independent variables including attitude and subjective norm, and behavioral intention as dependent variable.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.1-21
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• 2012

Conventional studies on technology acceptance have focused on information technology for utilitarian value and hence based on 'theory of reasoned action'. Correspondingly, the studies depend on perceived usefulness and perceived ease of use as rational decision making elements. However, in ubiquitous society, innovative technologies are applied to non-task area, as well as task-oriented area. Therefore, users are more influenced by affective factors than cognitive factors in causing their usage intention. In line with those discussions, we cannot make sure that the conventional technology acceptance model could fully explain the current u-service acceptance phenomenon. Hence, to overcome the limitations of the prior technology acceptance studies, we propose an amended TAM which includes one hedonic factor and two factors on ubiquitous computing technology : ubiquity and intelligence.