• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.107-127
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• 2013

The evolution of IT facilitated the communication and knowledge sharing between the social network service (SNS) users. When the more information about SNS users had been posted in SNS site, SNS users had sometimes exposed in the risk of privacy invasion. To remedy this problem, we had introduced the information control mechanisms from the prior studies in data management to the SNS area and empirically validated the effect of these mechanisms in this research. Three information control mechanisms had been elected as access control, reference control and diffusion control. We had conducted a survey to the Facebook users which is the most famous SNS site. 459 data had been gathered and analyzed by PLS algorism. As the results, reference control and diffusion control has significantly increased the trust on SNS providers and decrease the privacy concern. This change could significantly affect on the satisfaction with the SNS site and knowledge sharing intention of SNS users. This study could introduce the new perspective about privacy protection issues in SNS area. Also, the information control mechanisms suggested in this study could contribute to make more robust privacy protection mechanisms in SNS site in practice.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.149-162
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• 2020

This paper applied components of experience-based communication in terms of experience theory of Burnd H. Schmitt and context-based communication in the messenger platform environment through the scenario-based survey method, in order to study the influence of individual experiences, shared experiences, ubiquitous connectivity, and contextual usefulness on the perceived value and use intention of chatbot. Through this, the study is to provide companies in various service industries with practical approaches to further promote the use of chatbot. The implications of this study are as follows. First, as most chatbots still do not exceed the human planning level of designing them, it is necessary to consider how to design individual experience elements functionally according to the customer's intention to speak when developing the chatbot. Second, the chatbot should be designed not only from the perspective of completing specific tasks at any real time in anywhere, but also from the overall perspective of enhancing the quality of interaction, including the situation to which the customer belongs. Third, since the chatbot is likely to be anthropomorphized by users, it is important to be cautious about determining the chatbot's 'persona' and 'tone and manner' when developing the chatbot. Customer satisfaction is the most important criterion for the success of chatbot development. In other words, the quality of planning and data rather than the quality of artificial intelligence algorithms determines the utilization of chatbot. This is why companies are trying to make interactions with chatbot as close as possible to human interactions.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.77-86
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• 2024

This study analyzed students' discourse and learning to investigate the impact of using Google Docs in science classes. The researcher, who is also a science teacher, conducted classes for 49 second-year middle school students. The classes included one using Google Docs and another using traditional paper worksheets covering identical content. Students' discourse collected from each class was compared and analyzed using Epistemic Network Analysis (ENA). The findings indicated that in the class using Google Docs, the proportion of discourse related to task was higher compared to the traditional class. More specifically, discourse regarding taking and uploading photos was prominent. However, such discourse did not lead to peer learning as intended by the teacher. An analysis based on achievement levels revealed that the class utilizing Google Docs had a relatively higher proportion of discourse from lower-achieving students. Additionally, differences were observed in the types of utterances and connection structures between the higher and lower-achieving students. The higher-achieving students took a leading role in providing suggestions and explanations, while the lower-achieving students played a role in transcribing them, with this tendency being more pronounced in the class using Google Docs. Lastly, students' changes in perception regarding the cause of static electricity were visualized using ENA. Based on the research findings, this study proposes strategies to enhance collaborative learning using Google Docs, including the use of open-ended problems to allow diverse opinions and outputs, and exploring the potential use of ENA to assess the learning effects of conceptual learning.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.121-147
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• 2012

The quick spread of smartphones has affected not only individual life but also the way companies conduct their businesses. Employees is their business work using a variety of mobile devices including smartphones and are in constant collaboration with one another by sharing corporate information. Accordingly, constant an increasing number of businesses have adopted mobile applications for work, especially in the field of maritime logistics, where maritime logistics mobile applications are utilized to track cargos and to provide visibility. Through surveys, this study did empirical analyses to find out the intention to use maritime logistics mobile applications of maritime logistics workers, and the find out factors affecting their actual use of mobile applications developed and used in the domestic maritime logistics industry. As for study variables, social influence, innovation, perceived value, and collaboration between companies were used as factors that affect the intention to use mobile applications. In addition, as a tool for measuring the actual use of mobile applications, which is necessary for figuring out the relationship between the intention to use them and their actual use, the connecting frequency and using time were used. A total of 168 surveys were used in the hypothesis test. The results of the analyses are as follow: First, the three variables of social influence, innovation, and perceived value positively affected the intention to use maritime logistics mobile applications. However, collaboration between companies did not affect the intention to use the applications. Second, the intention to use the mobile applications positively affected the actual use.

• Knowledge Management Research
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• v.25 no.2
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• pp.49-68
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• 2024

Increasing concerns regarding personal data privacy have complicated the acquisition of customer data through online marketing. This study investigates factors influencing customers' willingness to disclose information via a generative AI-based chatbot. Drawing on privacy calculus theory and regulatory focus theory, we explore how customer regulatory focus and familiarity with the generative AI-based chatbot shape disclosure intentions. Our study, involving 473 participants, reveals that low familiarity with the chatbot leads individuals with a prevention focus to perceive higher privacy risks and lower perceived usefulness compared to those with a promotion focus. However, with high familiarity, these differences diminish. Moreover, individuals with a promotion focus show a greater inclination to disclose information when familiarity with the generative AI-based chatbot is low, whereas this regulatory focus does not significantly impact disclosure intentions when familiarity is high. Perceived privacy risks mediate these relationships, underscoring the importance of understanding familiarity with the generative AI-based chatbot in facilitating personal information disclosure.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.387-406
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• 2015

Recently emotional labor is an essential situation for hospital employees in relation to surface and deep acting as the core of emotional labor strategies. This study empirically examines the relation between hospital employees' emotional intelligence and emotional labor strategies in the context of emotional labor. For empirical experiments, we conducted a questionnaire survey targeting hospital employees, and we employed the method of Partial Least Squares (PLS) for data analysis. Major findings are as follows. Hospital employees' emotional intelligence including self emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion, have a significantly positive effect on hospital employees' deep acting. And hospital employees' deep acting has a significantly positive effect on hospital employees' organizational attachment, knowledge sharing intentions, and innovative activities.

• Information Systems Review
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• v.25 no.2
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• pp.1-30
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• 2023

This study analyzes and examines the travel behavior of Chinese people in Korea through a questionnaire survey of Chinese people who are long-term residents in Korea using Xiaohongshu App (RED). In this study, we add some variables to the MTEs (Memorable Tourism Experiences) model to analyze the travel behavior of Chinese people who are in Korea for a long period of time. We also chose to survey the users of Xiaohongshu App (RED), a popular software in recent years, and found the following findings in 240 valid questionnaires: (1) Scenery, Entertainment, and Informativeness have positive effects on people sharing travel experiences, while interaction does not. (2) Sharing travel experiences had a positive effect on travel satisfaction and the intention to go to other destinations, and travel satisfaction had a positive effect on the intention to go to other destinations. This paper extends the literature on tourism by combining MTEs and UGC (User-Generated Content) models, and also provides relevant suggestions for further research on the travel behavior of foreigners in Korea.

• Journal of KIISE:Software and Applications
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• v.27 no.6
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• pp.642-650
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• 2000

The pilot (human actor) involved in the control loop of the highly automated aircraft systems (machine actor) must be able to monitor these systems just as the machine actor must also be able to monitor the human actor. For its safety and better performance of the human machine system, each of the two elements must be knowledgeable about the other's intentions or goals. In fact, several recent accidents occurred due to goal conflicts between human and machines in a modern avionic system. To facilitate the coordination of these actors, a computational aid was developed. The aid, which operates in a part-task simulator environment, attempts to facilitate the management of the goals and functions being performed to accomplish them. To provide an accurate knowledge of both actors' goals and their function statuses, the aid uses agent-based objects representing the elements of the cockpit operations. This paper describes the development of the flightdeck goals and functions called Agenda Management.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.256-271
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• 2012

The purpose of this research was whether the marital relations of aged people affect the marital satisfaction and the divorce intention. The survey was conducted men and women with their spouse in 60th or more than 60th. Total surveys distributed were 550 and 459 were collected and analyzed finally. The statistic method applied in this research was SPSS 19. The statistic method use in this study was factor analysis, frequency analysis, t-test, one way ANOVA and Hiearchical multi-regression analysis. The results of the research were as follows. First, marital satisfaction has positive relations on affection expression, leisure sharing, sense of closeness and communications. However, economic conflict has negative relations on marital satisfaction. Second, divorce intention has positive relation with economic conflict. On the other hand divorce intention showed negative relations with affection expression, sharing leisure, sense of closeness and communication. Finally, There were differences in the spousal relationships and of the elderly according to the demographic factors and based on the above results several suggestions and limitations were presented.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.329-347
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• 2020

This study analyzed the effect of app characteristics of the handicapped library on user satisfaction and intention to reuse using the technology acceptance model. As a result, the app's accessibility, convenience, innovation, and reliability have a significant effect on perceived usefulness, and instant accessibility, accuracy, and interactivity have no significant effect. The characteristics of all apps were analyzed to have a significant effect on perceived ease of use. The regression model for perceived ease of use and perceived usefulness was statistically significant. It was found that perceived ease of use and perceived usefulness had a positive effect on user satisfaction and satisfaction was intended to be reused.