• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.179-192
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• 2014

Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.84-99
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• 2012

This paper investigated the effects of employee's personality on organizational citizenship behavior(OCB) and customer orientation in service business. Based on the literature search about personality, OCB and customer orientation, this study conducted a survey to total 207 service employees who engage in food service business. The findings of the research are as follows. First, service employee's personality consists of neuroticism, extroversion, agreeableness, conscientiousness and intelligence. Second, service employee's OCB is affected by intelligence, agreeableness, conscientiousness and extroversion of a service employee. Third, service employee's extroversion, agreeableness, conscientiousness and intelligence positively affect service employee's customer orientation, and service employee's neuroticism negatively affect service employee's customer orientation. Fourth, service employee's customer orientation is affected by employee's OCB. The findings of this research shows that service employee's personality affects OCB and customer orientation.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.154-166
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• 2011

This research aims to analyze the effects of a service employee's personality on job fit and customer orientation in food service business. Based on total 164 samples obtained from an empirical research for service employees who engage in food service business, the findings of the research are as follows. First, the service employee's personality consists of extroversion, neuroticism, agreeableness, conscientiousness and intelligence. Second, the service employee's job fit is affected by agreeableness, conscientiousness and intelligence of a service employee. Third, the service employee's extroversion, agreeableness, conscientiousness and intelligence significantly affect the service employee's customer orientation. Fourth, the service employee's customer orientation is affected by job fit. Based on the findings of this research, service employee's personality affect job fit and customer orientation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.417-424
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• 2017

This study investigated the relationship between pre-service early childhood teacher's metacognition and emotional intelligence on character development efficacy. The subjects were 218 pre-service early childhood teachers at university. A questionnaire, which required self-reporting by these teachers, was used to investigate the effect of their metacognition and emotional intelligence on character development efficacy. The data were analyzed by Pearson's correlation and stepwise regression. The study results were as follows. First, metacognition and emotional intelligence exerted an effect on the character development efficacy of pre-service early childhood teachers. Second, there were significant positive correlations between the metacognition and character development efficacy of the teachers. Third, there were significant positive correlations between the emotional intelligence and character development efficacy of the teachers. Fourth, emotional comprehension of others, emotional comprehension of own, error correction, and emotional activity were meaningful and influential variables on the teachers' self-leadership. These results increased the perception for the development of pre-service early childhood teacher curriculum about character development efficacy, metacognition and emotional intelligence of pre-service early childhood teachers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.540-548
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• 2017

This study analyzed the relationship between the achievement motivation and social intelligence in pre-service early childhood teachers and their achievement motivation and social intelligence. The achievement motivation Inventory for pre-service early childhood teachers (Song, 2004), the social intelligence questionnaire (Han, 2011) and the Children's social problem solving ability scale (Huh, 1999) were administered to 193 pre-service early childhood teachers. The data underwent Pearson correlation analysis using the SPSS 21.0 program. The results of this study were as follows. First, there were significant positive relationships among the achievement motivation, social intelligence, and social problem solving ability. Second, the achievement motivation and social intelligence was an important factor for predicting the social problem solving ability of pre-service early childhood teachers.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.659-676
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• 2018

Purpose: Although emotional intelligence(EI) is seemingly related to the service-oriented citizenship behaviors(OCB) of contact employees who are directly interacting with customers, there are only a few studies examining the relationship between the two. This study attempts to provide empirical evidence for a link between EI and service-oriented OCB. In addition, when EI affects service-oriented OCB, this present study identifies which emotional labor strategy between surface acting and deep acting is to be chosen. Methods: The data of EI, service-oriented OCB, surface acting, and deep acting were collected from 142 sales employees who provided services in four large domestic department stores. Hierarchical regression analyses were performed to verify empirically the main effects between EI and service-oriented OCB and mediating effects of emotional labor strategy. Results: The results show that EI is significantly related to service-oriented OCB in the current sample. Results also indicate that the deep acting rather than surface acting reveals a mediating effect in the process of EI affecting service-oriented OCB. Conclusion: The results of this study shows that EI which has a conceptual basis for OCB, can be extended to service-oriented OCB, The results also contribute to expanding the understanding of the relationship between EI and service-oriented OCB by testing the effect of EI on service-oriented OCB through deep acting. Theoretical and practical implications are reviewed, and limitations of the study and suggestions for future research are addressed.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.121-130
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• 2005

The evaluation of ubiquitous computing service is the important work for preparing the commercialization of the ubiquitous business services in which ubiquitous intelligence (ubitelligence) is embedded. However, the methodology for evaluating ubiquitous computing services has not been developed enough. Even the study of making a distinction what is 'ubiquitous' or not is insufficient yet. Hence, this paper aims to propose an integrated methodology to assess the ubiquitous computing services. A multi-layered approach is adopted to assess not only technical but also behavioral service levels.

• Journal of Home Health Care Nursing
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• v.25 no.1
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• pp.78-86
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• 2018

Purpose: The purpose of this study was to identify the relationships among emotional intelligence, resilience to burnout, and meaning in life of hospice volunteers. Methods: Data were collected through structured questionnaires from 200 hospice volunteers who were working at hospitals for six months or longer. Data were collected from March 7 to March 31, 2016, and analyzed using descriptive statistics, independent t-tests, ANOVA, Pearson correlation coefficients and stepwise multiple regression with SPSS WIN 22.0. Results: There was a statistically significant correlation between emotional intelligence, resilience to burnout and meaning in life. The significant predictors of hospice volunteers' meaning in life were resilience to burnout(${\beta}=.47$), emotional intelligence(${\beta}=.15$), educational level(college, ${\beta}=.11$), religion(protestant, ${\beta}=.12$; buddhism, ${\beta}=-.15$), and motivation for neighborhood service(${\beta}=.16$). These variables explained meaning in life up to 50.2%. Resilience to burnout was the greatest effective factor on meaning in life. Conclusion: These results suggest a need to develop programs that improve hospice volunteers' emotional intelligence and resilience to burnout. Also, educational level, religion, and service motivation of hospice volunteers should be considered.

• Culinary science and hospitality research
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• v.21 no.1
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• pp.58-76
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• 2015

This study explores the influence of social intelligence (SI) and emotional intelligence (EI) on employees' job engagement and organizational commitment in deluxe (five-star) hotels in Korea, and seeks to analyze the mediating effects of employees' job engagement on the relationship between SI, EI, and employees' commitment. The sample for the survey was collected from 419 F & B employees. The results of structural equation modeling show that employees' SI had a positive effect on job engagement and organizational commitment. EI also had a positive effect on job engagement but not on organizational commitment. In addition, the findings demonstrate that employees' job engagement mediated the effect of EI on organizational commitment. SI and EI are crucial requirements among hotel employees who depend on cooperation between colleagues.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.133-137
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• 2022

In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.