• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.213-225
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• 2019

Privacy paradox is a paradoxical behavior that provides personal information even though you are concerned about privacy. Social media users are also often concerned about their personal information exposure. It is even reluctant to describe personal information in profile. However, some users describe their personal information in detail on their profile, provide it freely when others request it, or post their own personal information. The survey was conducted using Google Docs centered on Facebook users. Structural equation model analysis was used for hypothesis testing. As an independent variable, we use personal information infringement experiences. As a mediator, we use privacy indifference, privacy concern, and the relationship with the act of providing personal information. Social media users have become increasingly aware of the fact that they can not distinguish between the real world and online world by strengthening their image and enhancing their image in the process of strengthening ties, sharing lots of information and enjoying themselves through various relationships. Therefore, despite the high degree of privacy indifference and high degree of privacy concern, the phenomenon of privacy paradox is also present in social media.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.35-43
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• 2017

In IoT(Internet of Things) environment, users want to receive customized service by users' personal device such as smart watch and pendant. To fulfill this requirement, the mobile device should support a lot of functions. However, the miniaturization of mobile devices is another requirement and has limitation such as tiny display. limited I/O, and less powerful processors. To solve this limitation problem and provide customized service to users, this paper proposes a collaboration system for sharing various computing resources. The paper also proposes the method for reasoning and recommending suitable resources to compose the user-requested service in small device with limited power on expected time. For this goal, our system adopts MBTI(Myers-Briggs Type Indicator) to analyzes user's behavior pattern and recommends personalized resources based on the result of the analyzation. The evaluation in this paper shows that our approach not only reduces recommendation time but also increases user satisfaction with the result of recommendation.

• Proceedings of the Korean Society for Quality Management Conference
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• 2009.10a
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• pp.176-181
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• 2009

Social networking service (SNS), which is based on the "six degree separation" theory, has gained its popularity in recent years. SNS creates a new way for maintaining relationship and sharing information over the virtual space. As a major branch, campus SNS provides a new platform for student to study as well as build and maintain inter-personal relationships. The highly realness of personal information and relatively strong group cohesion of campus SNS has turned it into an inevitable tool in students' daily life. The rapid growth of SNS in campus is creating huge academic and commercial benefits. However, little comprehensive research reveals what are determinant factors in driving students' intention to participate in campus SNS. In this paper, we conceptualize the participation of campus SNS as a social behavior and evaluate the impact made by social factors such as subjective norms and identity, as well as the impact of perceived reality and playfulness through an extended technology acceptance model.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.10
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• pp.837-842
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• 2005

The computational modeling and simulation of complex biological systems are indispensable for new knowledge extraction from huge experimental data and ever growing vast amount of information in systems biology. Moreover, gathering and sharing of the existing information and newly-generated knowledge can speed up this research process. In this regard, several modeling projects have been undertaken for quantitatively analyzing the biological systems via the internet. They include Virtual Cell, JWS and OBIYagns. We also develop an integrated web-based environment, which facilitate investigation of dynamic behavior of cellular systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.348-351
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• 2021

본 논문에서는 지속적으로 늘어나고 있는 내부의 유출자를 탐지하기위해 컨소시엄 블록체인 기술을 활용하여 기업간 직원의 PC사용 행위 로그 데이터를 가명처리하여 블록에 기록하여 네트워크에 참여한 다른 기업들간의 안전한 공유를 통해 내부자 유출 데이터 및 시나리오의 확장하여 내부에서의 유출을 탐지할 수 있는 데이터 셋을 확보하는 연구를 제안한다. 현재 내부자 위협탐지의 한계점중 가장 큰 요소를 차지하는 부족한 실제 사례의 내부자 유출 데이터 셋의 문제점을 본 연구를 통해서 네트워크 참여 기업간의 내부자 유출 데이터를 확장하고 타기업의 유출 사례를 활용해 기업에서 발생할 수 있는 내부자 유출을 미연에 방지할 수 있다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.97-110
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• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• The Journal of Information Systems
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• v.25 no.4
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• pp.141-161
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• 2016

Purpose As crowdfunding is a relatively recent phenomenon, determinants of successful crowdfunding with empirical data have been under-researched. Consequently, we examine the role of information- and behavior-based social interaction on the performance of crowdfunding projects, while investigating the motivational factor of goal achievement. Design/methodology/approach From February to August 2016, we collected panel data on 154 crowdfunding projects, which completed fundraising successfully on Tumblbug, a reward-based crowdfunding platform in Korea. In this study, we examine the roles of information-based social interaction (e.g., sharing information on a crowdfunding project) and behavior-based social interaction (e.g., following other investors' behavior) on successful crowdfunding. Additionally, we investigate whether the motivation of goal achievement moderates the relationship between social interaction and performance of crowdfunding projects or not. Findings We find that the number of times a crowdfunding project is shared has a positive influence on its performance, as does the number of project backers. Furthermore, we confirm that goal achievement motivation moderates the effects of information- and behavior-based social interaction on the performance of crowdfunding projects.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.80-91
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• 2008

The Purpose of this study is the applicaion of social network analysis for expanding the use of spatial data in local government. Spatial data generated from UIS projects play very important roles as a means of supporting decision making and solving complicated urban problems, but the utilization of the spatial data has not reach the expected level, considering to the huge amount of investment. Accordingly, there should be efforts in efficient management of spatial data, establishment of a sharing system, and expanded utilization of spatial data. Social network analysis applied to this research is a theory that explains the behaviors and patterns of units forming the system and measures distances between nodes, strength, etc. based on relations among nodes forming the network and the structural characteristics of the network. According to the results of surveying civil servants who were using spatial data on Busan Metropolitan City, obstacles to the sharing of spatial data were mostly non technical factors related to data users' attitude and their relations with circumstances. In order to expand the use of spatial data, this study performed social network analysis that applied the theory of planned behavior and examined the flow of spatial data, and by doing so, we analyzed related personnel's perception, identified obstacles to data sharing, and suggested a framework for promoting the expanded utilization of spatial data.

• Management & Information Systems Review
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• v.35 no.1
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• pp.23-50
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• 2016

The purpose of this study is to investigate the determinants of employees' knowledge contribution to 'Easysam', the Defense Knowledge Sharing System(DKSS), and provide managers and system designers with implications for enhancing the usage of the DKSS. Although the system seems to be helpful for employees to conduct their tasks by sharing and applying knowledge from the system, use of the system is confined to restricted employees and little empirical, systematic research has been done for this area. Therefore, using the motivation opportunity ability theory of behavior, this study hypothesizes that motivation factors(enjoy helping, reward confirmation), opportunity factor(system accessibility), and ability factor(self-rated expertise, tenure in the field) increase the level of employees' knowledge contribution to the DKSS. This research also includes hypotheses which address the effect of system use voluntariness, a moderator, on the relationship between predictors described above and knowledge provision. Survey results show that the effect of enjoy helping, reward confirmation, self-rated expertise and system accessibility is significant on employees knowledge provision. However, tenure in the field has no influence on its contribution of knowledge to the system. Theoretical and practical implications are provided.

• Journal of Communications and Networks
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• v.15 no.2
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• pp.173-178
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• 2013

It is a concern that eco-driving vehicles, because their driving behavior differs from other vehicles due to e.g. e-start, may inhibit smooth traffic flow. Therefore, it is necessary to study the cooperative eco-driving done by a vehicle group, putting "vehicle-to-vehicle communication" and "road-to-vehicle communication" into perspective. Based on these factors, this study aimed to: 1) Analyze fuel consumption rates and driving behaviors of more than one vehicle following an Eco-Driving vehicle. 2) Examine the effect of information on the fuel consumption rate of the preceding vehicles on the following vehicles. As a result, the following findings were obtained: 1) By providing information to multiple following vehicles, the fuel consumption rate of the second vehicle was not lowered, while that of the third one was. 2) It is possible that, when information on fuel consumption of a preceding vehicle is provided to the following one, an inter-vehicular distance is shortened during deceleration to contribute to smooth traffic flow. From the above results, it is suggested that, when targeting a vehicle group, sharing the information on preceding vehicles is effective.