• The Journal of Bigdata
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• v.5 no.2
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• pp.201-213
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• 2020

Despite empirical research that the response to human risk is significantly influenced affective factors, the role of affective factors has been unexplored in information privacy research. This study aims to explore the privacy behaviors of location-based service (LBS) users from an affective point of view. Specifically, the study explored the relationship between three types of privacy threats (collection, hacking, secondary use), two affects (worry, anger), and a coping behavior (continuous use intentions). The structured survey was conducted with 552 users. In order to analyze the effect of the combination of perception of particular privacy threats and particular affects on the intention of continuous use, association rules, one of the data mining techniques, was employed. As a result, there was a difference in the intention to use according to the combination of the perception of risk and affect responses, and the most significant influence on the intention is when the second use of personal information was combined with anger. This study has significant theoretical contribution in that it includes affective factors in the research of information privacy users, complementing the biases of existing cognition-oriented approaches and providing a comprehensive understanding of privacy response behavior.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.965-973
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• 2022

As IoT(Internet of Things) devices become common, many algorithms have been developed to protect users' personal information. The laser fault injection attack that threatens those algorithms is a side-channel analysis that intentionally injects a laser beam to the outside of a device to acquire confidential information or abnormal privileges of the system. There are many studies to determine the timing of fault injection to reduce the number of necessary fault injections, but the location to inject faults is only repeatedly searched for the entire area of the device. However, when fault injection is performed in an algorithm-independent area, the attacker cannot obtain the intended faulted statement or attempt to bypass authentication, so finding areas vulnerable to fault injection and performing an attack is an important consideration in achieving a high attack success rate. In this paper, we show that a 100% attack success rate can be achieved by determining the vulnerable areas for fault injection by using electromagnetic and thermal information generated from the device's chip. Based on this, we propose an efficient fault injection attack system.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.5
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• pp.65-84
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• 2017

This Study is Empirically Analyzed the Relationship among Personality, Job Satisfaction and Turnover Intention of Marketing Counselor of Mutual aid Fund for Small Enterprises and Small Enterprisers. The Collected 205 Counselors Data were Verified the Cause-and-effect Relationship and Mediated Effects among Variables by Exploratory Factor Analysis, Reliability Analysis, Multiple Regression Analysis. Personality Traits have a Significant Effect on Job Satisfaction and Turnover Intention. Job Satisfaction was Proved to have a Mediating Effect Between Personality Factors and Turnover Intention. In order to Encourage the Counselor to work and to Improve the Effectiveness of System, this Study Suggested the Necessity of Job Satisfaction Improvement Strategy According to Personality Characteristics of Counselor.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.624-632
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• 2022

Relationship networks such as an interpersonal relationship network or navigation route search can be expressed in graph form. However, as the amount of data increase, there is a problem that it is difficult to search for the desired data when it is displayed on one screen. In this paper, we propose a visualization method for searching for people, searching for the shortest path between people, and using graphs to express an interpersonal relationship network with many nodes. Unlike the search for the shortest path in the routing table, the shortest path in the interpersonal relationship network should be changeable according to the intension or importance of the researcher or user who is analyzing it. To this end, the BFS algorithm was modified to apply the characteristics of the interpersonal relationship network. For the verification of the results, the data in the character relationship information of the Korean Classics DB in the Korean Classics Translation Institute was used.

• Journal of Venture Innovation
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• v.6 no.2
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• pp.159-172
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• 2023

This study aimed to empirically analyze the factors influencing the career search intention of college students. The research model was derived based on the Social Cognitive Career Theory (SCCT), considering the unique characteristics of university students. Self-efficacy and outcome expectations were investigated as independent variables, while mastery experience, verbal persuasion, vicarious learning, and positive emotions were considered as antecedent variables. A survey was conducted among college students in the metropolitan area, resulting in 217 valid responses for analysis. Empirical analysis was conducted using structural equation modeling with AMOS 24. The findings revealed that mastery experience, vicarious learning, and positive emotions had a significant positive effect on self-efficacy. Furthermore, verbal persuasion and positive emotions significantly influenced outcome expectations. However, the impact of verbal persuasion on self-efficacy was not found to be significant, and the relationship between mastery experience, vicarious learning, and outcome expectations was not examined. Both self-efficacy and outcome expectations were found to have a significant positive effect on career search intention, with outcome expectations exhibiting a stronger influence. The empirical results contribute to the understanding of college students' career exploration and provide implications for academic and practical contexts.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.117-128
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• 2017

This study aims to propose measures to consistently induce Chinese tourists who represent the largest percentage of inbound tourism from foreign countries, utilizing raw data of 2015 Korea International Visitor Survey conducted by the Korea Culture & Tourism Institute under the Ministry of Culture, Sports and Tourism. Differences and influence factors for overall satisfaction on travel in Korea, intention to revisit Korea, and intention to recommendation were analyzed by demographic characteristics and tourism characteristics of Chinese consumers. As a result of analysis study, it came out that there are differences between overall satisfaction on travel in Korea and intention to revisit Korea by age and job of demographic characteristics. Among the tourism characteristics, there are differences in intention to revisit Korea depending on purpose of travel, intention to revisit Korea and recommendation according to route of travel information search, and there are differences in all three categories according to type of travel. The most important factor of all three category was identified as 'Food' factor and the second most influential factors were immigration procedures, security, and tourist attractiveness. It is suggested that more active research and improvement efforts are needed in the government, industry, and academia in order to attract Chinese tourists in the future.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.319-334
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• 2006

기업에서는 경쟁력을 강화하고 지속적인 경쟁우위를 확보하기 위한 수단으로 ERP시스템을 도입하여 활용하고 있는 추세이다. ERP시스템은 전체업무프로세스를 정보기술로 구현한 전사적인 통합솔루션이다. 이러한 ERP시스템 구축의 성공요인에 대해 많은 연구들이 진행되어 왔다. 그러나 대부분의 선행연구들은 기술적인 측면 등 외부적인 요인들을 강조하고 있으며, 내부적인 요인인 조직구성원들의 개인적인 성격유형이 ERP시스템의 정보기술을 수용하는데 미치는 영향에 대한 연구는 거의 이루어지지 않고 있다. 본 연구는 ERP시스템 구축의 성공요인으로 조직구성원들의 개인적인 성격유형을 탐색적으로 연구 하였다. ERP시스템 도입기업의 사용자들을 대상으로 MBTI 성격유형과 ERP시스템에 대한 정보기술 수용 정도를 설문을 통해 분석하였다. MBTI 성격유형은 Myers의 네 가지 성격유형으로 측정하고, ERP시스템의 정보기술수용에 대해서는 Davis의 TAM 모형을 이용하였다. 본 연구의 결과는 첫째, MBTI 성격유형과 ERP시스템의 정보기술수용과의 관련성 검증에서 MBTI 성격유형 중 외향형과 판단형인 경우에는 ERP시스템의 정보기술수용에 유의적인 영향을 미치는 것으로 나타났다. 그러나 감각형과 사고형인 경우에는 유의하지 않은 것으로 나타났다. 둘째, ERP시스템 관련 정보기술수용 검증에서는 선행연구들을 통해 검증된 바와 같이 ERP시스템에 대한 지각된 이용 용이성과 유용성, 활용의도 및 활용정도 간에 유의적인 영향을 미치는 것으로 나타났다.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.265-275
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• 2011

The purpose of this study was to identify the factors that determined the adoption of digital textbook among elementary and middle school teachers, and to propose and validate a revised Technology Acceptance Model. The study was grounded in the innovation diffusion theory and the attribute factors proposed in the theory were used in the model. More specifically, observability, compatibility, and subjective norms were proposed as external factors and usefulness, easy of use, intention to use were proposed as internal factors in the proposed model. It was found that (a) observability, compatibility, and subjective norms were the main external factors that influenced the teachers' intention to use digital textbook and (b) the revised TAM was validated.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.127-140
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• 2014

This study is performed to measure a performance of IMS using Delone & McLean's Information Success Model as a practical analysis for IMS implementation and their effects. For this, I reviewed the pre-research literatures to attain the measurement factors for IMS implementation and information system success model. For inspecting the hypotheses, answered the questionaries to the IMS managers. The results are as follows: the first, to improve the user's will, they have to focus on the service quality. The second, to improve the user's satisfaction, focus on the system quality. Finally, which affect on the performance is user's will rather than satisfaction.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.153-162
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• 2022

In this study, the relationship between service quality and visit intention of unmanned cosmetics stores was investigated and whether there was a moderating effect of familiarity. To this end, a total of 190 questionnaires were collected and the main results of frequency analysis, exploratory factor analysis, reliability analysis, and correlation analysis using the statistical package SPSS 26.0 are summarized as follows. First, it was found that usefulness, ease, and playfulness, which are components of service quality in unmanned cosmetics stores, had a significant effect on the intention to visit. Second, familiarity was also found to have a significant effect on visit intention, and was found to have the greatest influence on visit intention. Third, as a result of examining the moderating effect of familiarity on the relationship between service quality and visit intention of unmanned cosmetics stores, usefulness, ease, and playfulness were all statistically insignificant, indicating that there was no moderating effect of familiarity. As a result of the above, in order to increase the familiarity, which has the greatest influence on the intention to visit, marketing should be presented emphasizing the promotion or advertisement of unmanned cosmetics stores.