• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

• 한국게임학회 논문지
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• 제13권1호
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• pp.49-60
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• 2013

여성가족부는 2011년 10월부터 온라인게임에 대한 셧다운제를 실시하였다. 셧다운제는 게임 과몰입을 방지하고 청소년의 수면권을 보호하는 것을 정책 목표로 내세웠지만, 셧다운제가 과연 청소년들의 게임 과몰입을 해결할 수 있는지, 정책의 실효성 있는 집행이 가능한지에 대해 많은 반론이 존재하였다. 본 연구는 게이머와 비게이머간에 셧다운제 정책 효과에 대한 인식 차이가 존재하는지, 그리고 셧다운제의 실시가 게이머와 비게이머의 정부 신뢰에 대한 인식에 어떠한 영향을 미치었는지를 살펴보도록 하였다. 설문 조사 결과, 게이머는 셧다운제에 대해 부정적으로 보고 정부신뢰가 감소되었으며, 비게이머들은 셧다운제를 긍정적으로 보고 정부신뢰가 증가되는 효과가 존재하였다. 즉 셧다운제는 비게이머들이 정책효과를 믿으면서 실시한 정책으로, 막상 정책대상자들인 게이머들은 정책 효과를 인정하지 않는 성격을 지니는 정책으로서의 특성을 지닌다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.941-946
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• 2006

It followed in system development and SMRT(Seoul Metropolitan Rapid Transit Co)System reached to an automatic train operation(ATO) and driverless operation(DLM) from the manual operation due to the train driver. The train like the general bus or the car vehicle was not serial riding in a car and the Parallel concept which the numerous passenger rides in a car simultaneously occur frequently the charge of the train driver unmanned bitterly from existing manual handling was a possibility of doing, train open door control(ODM) which bites also ATO, it handles it minimized. Like this ATO/DLM, the control system which bites being a Wayside to Train communication for immediacy, it is a system of the Vital concept the immediacy of the citizen Data evil the radio information transmission and the train of the interface which is accurate from unmanned operation and, will decipher, will accomplish it will guarantee. It respects the passenger accident prevention and an air question environment improvement from subway platform and phul leys the screen door of Platform(PSD) with the fire tube frost it refers and part it treats and to sleep it does, ODM which bites is accuracy and immediacy of altitude and when seeing from the viewpoint which demands the trust of altitude, ODM system the trust of car incest interface in the equipment construction which is safe and the comparative analysis back of the system analysis against the control which bites and case study and other subway system it leads from the research which it sees and signal - train in base grudge to sleep it contributes it does.

• 지능정보연구
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• 제22권3호
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• pp.113-127
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• 2016

협업 필터링(Collaborative Filtering)은 유용성과 정교성 면에서 가장 성공적인 추천 알고리즘으로 평가받으며 산업계나 학계에서 많이 활용 및 연구되고 있지만, 기본적으로 사용자들이 평가한 점수에만 기반하여 추천결과를 생성하는 한계점이 있다. 이에 본 연구는 사용자가 상품을 구매할 때 자신이 신뢰하는 타인의 추천을 더 적극적으로 수용할 것이라는 점에 착안하여, 사용자의 평점 외에 사용자 간 신뢰관계를 소셜네트워크분석으로 분석한 결과를 추가로 반영하는 추천 알고리즘들을 제안하였다. 구체적으로 본 연구에서는 소셜네트워크분석에서 네트워크 내의 중심적 위치를 나타내는 척도인 내향 및 외향 중심성을 활용하여 사용자 간 유사도를 산출하는 알고리즘들과 사용자 신뢰 네트워크를 탐색하여 추천 대상이 되는 사용자가 직접 간접적으로 신뢰하는 사용자의 평가점수를 보다 높게 반영하는 알고리즘을 제안한 뒤 그 성능을 비교해 보았다. 실제 데이터에 적용하여 분석한 결과, 사용자 신뢰 네트워크의 내향 중심성 지수를 조건 없이 적용한 경우에는 오히려 정확도의 감소만을 야기하는 것으로 나타났고, 일정 임계치 이상의 외향 중심성을 갖는 사용자에 한해 내향 중심성 지수를 고려한 추천 알고리즘은 전통적인 협업 필터링에 비해 약간의 정확도 개선이 이루어짐을 확인할 수 있었다. 아울러, 사용자 신뢰 네트워크를 기반으로 탐색하는 알고리즘이 가장 우수한 성능을 보이는 것을 알 수 있었으며, 전통적인 협업 필터링과 비교해서도 통계적으로 유의한 수준의 정확도의 개선이 이루어짐을 확인할 수 있었다.

• 한국인터넷방송통신학회논문지
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• 제10권4호
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• pp.63-68
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• 2010

아이폰, 아이패드, 킨들, PDA 등 휴대용 모바일 디바이스가 일상의 도구로 사용되고 있다. 모바일 환경에서 스마트폰을 중심으로 한 단말기는 개인정보를 보호하거나 침해하는 도구로 활용된다. 따라서 개인정보 및 프라이버시를 보호하기 위한 스마트한 모니터링 기술이 요구된다. 반면 스마트 폰 및 모바일 환경은 다양한 응용기술이 하드웨어 및 소프트웨어 플랫폼에서 구현되는 특징이 있다. 따라서 본 논문에서는 프라이버시 신뢰 존을 형성하는 네트워크 구조를 설계하고 이를 CCTV를 중심으로 모니터링 및 모니터링 방지 시스템을 다룬다. 이를 통해 스마트한 모니터링이 가능한 프라이버시 신뢰 존의 정보 제공 및 활용 시스템을 제안한다.

• 제어로봇시스템학회논문지
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• 제9권10호
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• pp.808-815
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• 2003

Fieldbus technology is having a massive impact on the development of faster, smarter and less expensive industrial networking systems. However, there have been a few of practically applied cases and channels for obtaining technical advices. Moreover, the users in the industry don't trust the Fieldbus technology like they didn't trust PLC control system in 1970s. Therefore, in this paper, Air flow control system is constructed by Fieldbus technologies, Profibus and Inverter that controls the motor speed. With the features of the motor control, the amount of electric power consumption by the speed control of motor is measured by the constructed control system. From this measured result, the effectiveness of the airflow control system and Feasibility to the practical industry field is demonstrated To improve the confidence of Fieldbus technology, practically embodied cases and technical methods are presented.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.9-18
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• 2021

Blockchain and its infrastructure technology have expanded rapidly in the last decade and are in high demand, but there is a lack of comprehensive studies on those platforms. Blockchain is a new technology based on the distributed digital ledger system. Decentralized trust is one of the key factors behind the blockchain-based system. Transparency of such a system is better than a conventional centralized ledger system. By using a blockchain-based transaction system, any business organization can harness key benefits like data integrity, confidentiality, and anonymity without involving any third party in control of the transactions. Since the blockchain is used in numerous applications and the horizon is expanding at an unprecedented pace. So, there is a need for an introducing and reviewing of blockchain platforms. In this paper, we have reported a review on existing contemporary blockchain platforms. In particular, From the existing studies, we have identified eighty blockchain platforms and the majority of them have a lack of technical details. To provide the researchers a comprehensive introducing on blockchain platforms to perform a broad guideline for future research and investment in the blockchain domain.

• 산경연구논집
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• 제8권5호
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• pp.95-109
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• 2017

Purpose - The purpose of this study is to classify the quality factors of coffee shop customers with the service quality based on the SERVQUAL, selection attributes, and service qualities used in previous studies. The path structure of coffee shops' quality factors → customer satisfaction → trust → behavioral intention was analyzed in order to confirm the system of coffee shops' quality factors. Research design, data, and methodology - The survey of was conducted with college students of Kangwon University. A total of 250 questionnaires were distributed, with 232 collected. Of them, Excluding 36 respondents' because of incomplete answers and missing values, 196 responses were used in the final analysis. Empirical analysis was made through factor analysis, correlation analysis, multiple regression analysis, simple regression analysis and mediating regression analysis by using Statistics Package SPSS 19.0. Results - The results are as follows: Firstly, coffee shops' quality factors were classified into seven categories like service encounter quality, product quality, cleanliness, overall interior, purchase quality, convenience, and aesthetics. Secondly, service encounter quality, product quality, purchase quality, and aesthetics had a positive effect on customer satisfaction, respectively. Thirdly, it showed that service encounter quality, product quality, overall interior, purchase quality, and aesthetics had a positive effect on trust, respectively. Fourthly, customer satisfaction had a positive effect on behavioral intention. Lastly, after verifying the effect relations of trust between customer satisfaction about coffee shop and behavioral intention, customer satisfaction has a positive effect on trust and trust has a positive effect on behavioral intention. On the other hand, trust did not have a mediating effect between customer satisfaction and behavioral intention. But, cleanliness, convenience, and overall interior did not have a positive effect on customer satisfaction. Conclusions - Coffee shop consumers put importance on price, discount systems, taste, and freshness, but more on courteous and kind services of coffee shop staff or comfortable and calming atmosphere of inner space. Thereby, coffee shop marketers need to take factors like service encounter quality and aesthetics into more consideration. In addition, customer satisfaction has an effect on trust, while trust on behavioral intention, even though trust is not mediated between customer satisfaction and behavior intention.

• Journal of Information Technology Applications and Management
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• 제17권4호
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• pp.1-17
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• 2010

As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

• 한국의류학회지
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• 제42권5호
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.