• The Journal of Information Systems
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• v.11 no.1
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• pp.151-173
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• 2002

The purpose of the current study is to identify the critical success factors of information systems in small-and-medium-sized firms in general, and also to investigate any differences of those critical success factors between two different industries: the electronic and textile industries. To accomplish this purpose, we collected and analyzed 115 and 108 questionnaires from the electronic and textile industries respectively. From the results of statistical analysis, critical success factors of small-and-medium-sized companies in general were obtained, and critical success factors from two industries were compared and the differences were able to be identified. The results of the analysis of the questionnaires are as follows: 1) The organizational characteristics of the electronic industry showed some differences from those of the textile industry; 2) Small-and-medium-sized companies in the electronic industry appeared to have some differences from companies in the textile industry in terms of critical success factors of information systems. Such factors as education and training, quality level of software, capability of users, business processes, standardization of data management, level of organization, user involvement, support of top management were significantly different between two industries.

• Journal of Korean Society for Quality Management
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• v.41 no.2
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• pp.277-288
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• 2013

Purpose: This study aims to analyze the success factors of information systems and the moderating effect of individual factors in mandatory environment. Methods: In order to test the model, a questionnaire survey is delivered from salespersons of an insurance company in Seoul, Korea. 200 questionnaires are finally analyzed. Structural Equation Modeling (SEM) is adopted to analyze the data and Smart PLS 2.0 is used for examining the moderator effect. Results: The extended model proposed in this paper adopted individual factors and examined their moderator effect among constructs. An empirical test is carried out accordingly in order to test the model proposed in this paper. The results reveal that individual factors (i.e. Computer Self-Efficacy, Anxiety, Personal Innovativeness in IT) have a significant moderating effect on individual performance in the environment of mandatory information system usage. Conclusion: This paper extended the research field of information system success model to information systems in mandatory environment regarding differences of individual factors.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.381-394
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• 2013

Purpose: Nowadays, Mobile Cloud Storage services are used widely. For sustainable use of this service, we need to determine what factors affect satisfaction. Therefore, the purpose of this study is to identify the factors that influence satisfaction. Methods: To analyze factors that influence satisfaction, this study sets the factors into three dimensions such as service quality, perceived risk, and individual characteristics and analyze the causal relationship between influence factors and satisfaction through Structural Equation Model. Results: The results of this study are as follows; among service quality, user interface and reliability influenced satisfaction, but adaptability did not have any influence. Perceived risk of illegal access had a negative influence on satisfaction, while perceived risk of privacy leakage did not have significant influence on satisfaction in perceived risk. At last, self-efficacy had a significant influence on satisfaction. Conclusion: We identified the influence factors that influence satisfaction. Our findings will be necessary for Mobile Cloud Storage service providers to strengthen their service.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.329-341
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• 2021

This study derives the risk-Influence factors for subway structures, the basis for the transition from the current subway disaster recovery-oriented maintenance system to a preemptive disaster management system, to reduce risk factors for existing subway structures. To apply reasonable risk assessment techniques, risk influence factors for subway underground structures using statistical information(spatial information) and risk influence factors according to frequency of accidents were selected to derive the risk factors. The significant risk factors were verified through ground subsidence (SI: Subsidence Impact)-based correlation analysis. This process confirmed that the subsidence of the ground was a risk influence factor for the subway structure. The main result of this study is that derive the risk factors to improve the risk factors of subway structures due to the rapid increase in disaster risk factors. The derived risk factors that were expected to affect the depression around subway stations and track structures did not show a noticeable correlation, but the cause of this may be that there is no physical connection between them, but on the other hand, the accumulated data may not accurately record the surrounding depression. Accordingly, in order to evaluate the risk of depression around the station and track, more intensive observation and data accumulation around the structure are required.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.287-304
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• 2020

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empirical research on the composition factors of personal information regulation or data combination, which acts as a constraint, has been hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personal information regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As a result of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymous information, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity of personal information definition, ease of personal information consent, integration of personal information supervisory authority, consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, and proper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identification of data combination, standardization of combined data, responsibility of data combination, type of data combination institute, data combination experience, and technical value of data combination. These findings provide implications for which policy tasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.

• The Journal of Information Systems
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• v.23 no.4
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• pp.119-145
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• 2014

Under the premise that information privacy concerns can atrophy e-commerce by causing particular behaviors of Internet users, this study focused on exploring the causes of information privacy concerns, the related information privacy protective responses of Internet users, and measures for alleviating the information privacy concerns. This study is based on the 'principal-agent theory,' and established the following as factors that cause information privacy concerns of Internet users: perceived information non-transparency; perceived action uncertainty. Also, the information privacy concerns caused by the factors were established as the cause of information privacy protective responses of Internet users. Also, the concept of 'signaling' and 'incentive,' which were presented to solve the adverse selection and moral hazard issue in the host-agent theory, was introduced to establish the following as factors that alleviate information privacy concerns: trust; informativeness. Those factors were included in the research model to conduct an empirical analysis. The analysis has revealed that both the perceived information non-transparency (p<0.01) and perceived action uncertainty (p<0.01) as to websites had a significant impact on information privacy concerns. Also, information privacy concerns of Internet users (p<0.01) had a significant impact on their information privacy protective responses who strive to protect their personal information. In addition, when trust and informativeness, which were established as factors that can alleviate information privacy concerns, were empirically analyzed, trust and informativeness had the effect of alleviating information privacy concerns. Based on the findings, the following was confirmed: Boosting the trust of Internet users in websites and offering useful information related to personal data can play a key role in alleviating the information privacy concerns of Internet users.

• Informatization Policy
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• v.27 no.3
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• pp.82-111
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• 2020

Recently, increasing use of big data have caused regulation factors of personal information and combination of pseudonymized information to emerge as key policy measures. Therefore, this study empirically analyzed the mediating effect and moderating effect of pseudonymized information combination as the third variable in the relationship between regulation factors of personal information and big data utilization. The analysis showed the following results: First, among personal information regulation factors, definition regulation, consent regulation, supervisory authority regulation, and punishment intensity regulation showed a positive(+) relationship with the big data utilization, while among pseudonymized information combination factors, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination were also found to be in a positive relationship with the use of big data. Second, among the factors of pseudonymized information combination, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination showed a positive(+) mediating effect in relation to regulation factors of personal information and big data utilization. Third, in the relationship between personal information regulation factors and big data utilization, the moderating effect hypothesis that each combination institution type of pseudonymized information (free-type, intermediary-type, and designated-type) would play a different role as a moderator was rejected. Based on the results of the empirical research, policy alternatives of 'Good Regulation' were proposed, which would maintain balance between protection of personal information and big data utilization.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.13-24
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• 2004

Human error has brought about accidents more than 50% in system of a large size and complicated expecially in nuclear power plants(NPPs). The technology of Man Machine Interface(MMI) has been changed to the digitalized controls employing computer-based technology. According to this trend. the human factors guidelines are becoming main issue for reliable supports to digitalized information displays. However. the existing human factors guidelines is not enough for advanced information display on NPPs. The purpose of this research is to develop the reliable design and evaluation guidelines for advanced information display in main control room (MCR) of NPPs. In this study. the various general human factors guidelines concerning information display on CRT are integrated on data base management system. unified based on the integration rules. and applied in computer based procedures. The use of the integrated guidelines are expected to evaluate the existing information display on MCR in NPPs from the human factors point of view.

• Asia pacific journal of information systems
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• v.12 no.1
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• pp.45-65
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• 2002

Factors influencing the success or failure of information systems(IS) have been discussed in many literature. However, limited theoretical development or empirical research have examined the effectiveness of hospital information systems(HIS). This study set out the research model of influencing factors and the performance of HIS through theoretical studies based on Management Information Systems, and then empirically tested hypotheses related to the model. The model was tested using LISREL analysis on the sample of 274 respondents who have worked with the HIS. The major results of this study are as follows: First, system characteristics and organizational characteristics have a statistically significant influence on user satisfaction. Second, the hypothesis 3, proposing that computer self-efficacy would relate positively to user satisfaction, was not supported by the results, though. According to these results, system quality, information quality, service quality and support of top management are very important variables for IS success. The study's findings also indicate DeLone and McLean's model is correct in proposing that the indirect relationship between influencing factors and organizational effectiveness, mediated by user satisfaction, is an important one.

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.32-44
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• 2020

This study attempts to draw the implications of student satisfaction with fieldwork courses in the library and information science (LIS) program in South Korea by determining the level of satisfaction experienced by students with practicums at a library and information service agency. LIS students with fieldwork experience were surveyed to assess their satisfaction and the factors affecting their satisfaction. Results from a multiple regression analysis revealed that from among factors of practicum settings, major-related attributes, and general attributes of respondents, "satisfaction with majors" and "interpersonal relationships" had a significant effect on satisfaction with practicums. Examining the six components of satisfaction with the course revealed that "practicum program" and "practicum setting" had a significant relationship with overall satisfaction. A selective intervention program to improve satisfaction with the course needs to be developed based on factors influencing overall satisfaction, focusing on "interpersonal relationship" and "satisfaction with majors.