• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.79-90
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• 2024

This study focused on user trust in ChatGPT, a generative AI technology, and explored the factors that affect usage status and intention to continue using, and whether the influence of trust varies depending on the purpose. For this purpose, the survey was conducted targeting people in their 20s and 30s who use ChatGPT the most. The statistical analysis deploying IBM SPSS 27 and SmartPLS 4.0. A structural equation model was formulated on the foundation of Bhattacherjee's Expectation-Confirmation Model (ECM), employing path analysis and Multi-Group Analysis (MGA) for hypothesis validation. The main findings are as follows: Firstly, ChatGPT is mainly used for specific needs or objectives rather than as a daily tool. The majority of users are cognizant of its hallucination effects; however, this did not hinder its use. Secondly, the hypothesis testing indicated that independent variables such as expectation- confirmation, perceived usefulness, and user satisfaction all exert a positive influence on the dependent variable, the intention for continuance intention. Thirdly, the influence of trust varied depending on the user's purpose in utilizing ChatGPT. trust was significant when ChatGPT is used for information retrieval but not for creative purposes. This study will be used to solve reliability problems in the process of introducing generative AI in society and companies in the future and to establish policies and derive improvement measures for successful employment.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.193-215
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• 2016

In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.6
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• pp.1-11
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• 2008

As bus is realized by economical, environmental transportation that is available mass transport than car, various policy for improvement of services is achieved. As innovative public transportation systems like BMS (Bus Management System) have established, it is possible to manage bus service efficiently. However, the present bus service management system mainly focuses on enhancing service reliability represented by schedule adherence index. This study discusses the necessity of a special management for bus bunching phenomena at stops, and develops two kinds of bus bunching indices based on the Number of Berth and the Average Bus Arrival Rate. The bus bunching indices were measured by utilizing the bus operational information from BMS at the Seoul TOPIS(Transportation & Information Service). In order to evaluate the sensitivity of the Indices, the indices were applied to two different bus groups: buses on exclusive bus median lane, and regular (shared) lanes. As analysis result, is bunching as is near in downtown and is bunching to peak time morning than the afternoon. Compared with the schedule adherence index, the suggested indices were proved as an efficient complementary indices in the evaluation of the bus operational performance. The results of index comparison between exclusive bus median lane and shared lanes can promote the expansion of exclusive bus median lane. Moreover, it can also be used as a reference in deciding bus station scale including the Number of Berth and the route adjustment plan.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.133-143
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• 2017

Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

• Korean journal of communication and information
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• v.45
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• pp.341-383
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• 2009

Customer Relationship Management (CRM) in the media field is a specialcustomer-centered management method based on the information technology in order to build a long-term relationship with customers, users or subscripted people of media services. The purpose of this study is to examine and compare the various strategies and the characteristics of customer relationship managements of domestic media corporations in the era of the digital convergence. The data is analyzed by in-depth interviews with the CRM managements of newspapers, cable & satellite broadcasters and telecommunication corporations. The result of the study shows that the practicing CRM in the media field has an influence on the management performance and the management's support influences the practice of CRM. CRM is practiced differently according to the scale of the media corporations and revenue. Also the study presents that media corporations which wanted to improve CRM are going through trials and errors caused by the lack of experience of the CRM market in Korea. Therefore this study would provide CRM strategy for CRM marketers in Korea. Furthermore, this study presents concepts to media corporations which do not apply to CRM yet, and theoretical backgrounds which do. Finally, the implication of the study, limitations and problems are explained and discussed.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.115-143
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• 2020

This study conducted a survey on the current status and satisfaction of libraries participating in the opening hours support project in order to continue it to meet the purpose of improving information access and life welfare. To this end, a questionnaire and interview survey were conducted for those in charge of opening hours for each library, and the results are as follows. First, the opening hours support project is a project that needs a strategy that fits the characteristics of the region and the environment. Therefore, it is necessary to consider operating independently rather than relying on national support in the future through the preparation of regional-oriented operation plans. Second, it is necessary to establish a flexible operating model for opening hours that both employees and users can understand. Third, it is necessary to prepare an organizational operation plan that requires both duties and responsibilities along with the rights equivalent to existing regular employees. Fourth, in order for national public libraries in Korea to develop and implement a consistent policy for specific policies and projects, it is necessary to unify the separate public library operating system in the future. Fifth, it is necessary to prepare education and guidelines for the continuity and stable operation of the project, and to activate services other than labor costs, such as support for improving the space for the user's pleasant use.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.639-651
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• 2013

This study aims to improve caregiver's labor conditions, to provide a high-quality care service and to offer basic research information for developing a standardized job content of caregiver. The study establishes basic principles for a standardized job content with a literature review and then collects basic information of caregiver's task with an observation technique. The study based on the observation technique develops 11 job categories and 72 duty categories expected to do by the caregiver. The study examines acute care hospitals that provide joint care services in Seoul and Gyeonggi province. Sixty caregivers who work at these hospitals are carried out a survey regarding a specific task of caregiver, an importance of task and a frequency of task. Collected data is analyzed using statistical package SPSS 18.0, and descriptive statistics (frequency, percentage, average, standard deviation) is reported. An analysis of frequency is used to analyze target for research. From the collected information, tasks of caregiver are sorted into 10 job categories and 60 duty categories. As a result of the study, tasks of caregiver are sorted into 10 job categories and 68 duty categories based on the observations technique. One job category and four duty categories are added to the final survey based on an interview with professionals and officials in the field of care service but, one additional job category and four duty categories based on the interview are excepted from the result of the analysis. The interview with professionals and officials is nothing meaningful on the task analysis of caregiver.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.77-88
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• 2021

Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.257-268
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• 2021

As the variety and scale of facilities increase due to industrialization and urbanization, blind spots for facility safety management have occurred, resulting in numerous casualties.To meet safety and security needs of citizens living in smart cities, we present a procedure for establishing an integrated platform for facility safety management by combining 5G and digital twin technologies. It can be used to perform inspection according to risk factors and aging of facilities. In this paper, the current status of facility management and application directions of new 5G digital twin-based smart city technologies are reviewed and digital twin implementation procedures are presented. Five cities were selected as target areas: Osan, Gwangmyeong, Guri, Uijeongbu, and Anyang. Old and emergency facilities of each local government were selected. A total of 33 digital twin facilities reflecting policy directions of each city were selected. Focusing on facilities determined by each city, the purpose of this study was to define information technology infrastructure elements for the application of the 5G digital twin facility safety management integrated platform, define categories of implementation services, and suggest a concrete integrated platform configuration plan.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.285-307
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• 2022

This study examines the policies currently announced in the "3rd Comprehensive Library Development Plan" in relation to the discovery of individuals' potential in libraries and analyzes the current status of the tasks promoted and executed by central administrative agencies and municipal and provincial libraries based on these policies. Based on the analysis results, this study presents the methods for libraries to play their role in discovering the potential of individuals in the future. According to the results of this study, due to the poor performance of libraries resulting from reduced in-person events because of library closures and the promotion of non-contact services such as humanities classes and cultural programs in response to COVID-19, it is necessary to establish systems to support emergency management and non-contact programs in response to COVID-19, as well as increase the budget for extending reading culture projects for underprivileged regions and people. In addition, it is necessary to discover quality long-term, non-contact programs, provide infrastructure for non-contact program operation, and develop guidelines. Second, it is observed that communication- and discussion-type social reading programs need to be promptly converted into and operated as online classes. Third, the study results confirm that it is necessary to prepare measures to reinforce external cooperation, such as improving the convenience of and accessibility to information use for users, conducting seminars between domestic and foreign councils, promoting one-stop data sharing systems, executing data digitalization, expanding library infrastructure in preparation for the post-COVID-19 era, and promoting public relations activities.