• 한국정보시스템학회지:정보시스템연구
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• 제15권1호
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• pp.145-168
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• 2006

Current computer viruses are one of the most serious problems in information age due to their potential demage and impact on use of information systems. To make the problem worse, virus development technology has been advanced rapidly, and use of network systems has expanded widely. Therefore computer viruses are much more complex and use of anti-virus software(AV S/W) is not enough to prrevent virus incidents. It implies that computer viruses as well as other information security matters are not solely a technical problem but also a managerial one. This study emphasized on computer virus controls from managerial perspective of information security and investigated factors influencing the effectiveness of computer virus controls. Organization's comprehensive security policies provide guidelines on how organization or individual can protect themselves from computer viruses. Especially, user's education has positive impact on user's security related characteristics. Based on the analysis of research model using structural equation modeling technique, security policies were influencing security controls and improving user's computer viruses related awareness. Also security controls had positive impact on security effectiveness. However, no significant relationship was found between user's security related characteristics and security effectiveness.

• 한국정보시스템학회지:정보시스템연구
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• 제24권2호
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• pp.117-138
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• 2015

Purpose The number of Tablet PC users has recently increased in steep, which started to offer media companies more opportunities to enter into a new business field. Based on Information System Success model, this study finds that tablet magazine's quality factors influence perceived usefulness, user satisfaction and intention of continuous use. Design/methodology/approach We conducted a survey for 20-40's Tablet PC users. After pilot study, we analyzed the main survey data by using SPSS 18.0 and AMOS 18.0, and employed structural equation modeling to test the hypotheses. Findings Our research results are summarized as follows : First, information quality has a positive impact on user satisfaction, but not on perceived usefulness. Second, service quality has a positive impact on perceived usefulness, but not on user satisfaction. Third, perceived usefulness positively influences user satisfaction. Fourth, user satisfaction positively influences the intention of continuous use. In particular we found that Tablet PC usage experience had a moderating effect on the relationship between perceived usefulness and user satisfaction.

• 대한안전경영과학회지
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• 제26권2호
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• pp.93-105
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• 2024

In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3798-3814
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• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• 스마트미디어저널
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• 제12권1호
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• pp.62-76
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• 2023

사용자가 경험할 수 있는 차원이나 경험 요소들의 특성을 이해하는 것은 박물관 모바일 애플리케이션 사용자 경험을 디자인할 때 매우 중요한 일이다. 본 논문은 박물관 모바일 애플리케이션의 사용과 관련된 경험에 대한 일련의 실험연구와 분석을 통하여 4가지 차원과 19가지 요소로 구성된 박물관 모바일 애플리케이션의 사용자 경험 프레임워크를 도출하고, 타당성도 검증하였다. 연구에 의하면 이들 4가지 사용자 경험 차원은 모두 애플리케이션 사용 만족도에 긍정적인 영향을 미쳤으나 각 차원의 미치는 영향 정도는 각기 달랐다. 본 논문의 실험에서는 4가지 차원 중 사용감성과 사용편의성이 가장 큰 영향을 미치며 사용유용성과 기능다양성은 상대적으로 적은 영향을 미치는 것으로 분석되었다. 또한 실험 결과를 통해 애플리케이션의 사용 경험이 사용자의 향후 추천이나 지속 사용의도, 또는 박물관의 실제 관람에 영향을 줄 수 있음을 확인하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.287-296
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• 2021

Stepping into the technological boom time, Vietnam has integrated into the trends of using Fintech applications as a new means of payment. This article evaluates the relationship between perceived security (including service security and platform security), knowledge, confirmation, perceived usefulness, satisfaction, attitude and lastly enterprise's images regarding the service and continuous intention to use Fintech services. The survey results of 352 Vietnamese customers using Fintech services, reliability test and extended post-acceptance model (EPAM) which is based on PAM and ECT models. From the survey, we further found out that perceived security (BSS) has no direct impact on continued intention to use, while perceived security (BSS) has positive impact on confirmation (CON), similarly, perceived usefulness (PU) and user's satisfaction (SES). Knowledge of the Mobile Fintech payment service (KNOW) has a positive impact on perceived security (BSS). Confirmation (CON) has a positive influence on perceived usefulness but in the meanwhile it has created a negative impact on user's satisfaction (SES). From the survey it can also tell that user's attitude (ATT) and enterprise image (IMG) both have a positive impact on continual intention to use Fintech services. From the research results, we also propose some recommendation to enhance the continual intention to use Fintech services in Vietnam.

• Journal of Information Technology Applications and Management
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• 제20권3_spc호
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• pp.259-278
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• 2013

At the center of the repeating evolution of IT industry, there is mobile computing in the ubiquitous environment, and the increasing usage of smart phones contribute more to its growth. P corporation co-developed with Google and implemented smart work system called SWP for the purpose of 'communication and collaboration with co-workers' beyond the general goal of increasing productivity and comfort of employees. The primary objective of this study is to objectively analyze the influence of the effect factor from end user's perspective and user satisfaction on SWP usage, intention for continuous usage and individual performance. To accomplish this research purpose, this study established research models and hypothesis by collective review about information system success models, and tested the research hypotheses using the structural equation modeling technique by data collected from 320 SWP system users of P corporation. Variations for system satisfaction evaluation standard are 1)SW system usage 2) intention for continuous usage 3) individual performance, effect variations are 1) social factors 2) technical factors 3) combination of social and technical factors. Therefore, this study is about influence factors on success of SWP system and how the factors impact the outcome. The test results of this research model is summarized as follows. Firstly, system user's satisfaction had positive impact on all three; SWP system usage, intention for continuous usage and individual performance. Secondly, social factor 'SWP control system' and technical factor 'information quality' and 'system quality' had positive impact on SWP system user satisfaction, while social factor 'shared value' and technical factor 'service quality' did not have significant effect on user satisfaction. Shared value however, had interactive effect with 'information quality' and 'service quality'. This study is expected to contribute to spread of academic research on smart work system by suggesting a model that can show important factors for corporation while explaining the successful implementation of SWP and its continuous usage.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.541-572
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• 2023

Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.

• Current Optics and Photonics
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• 제2권1호
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• pp.39-46
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• 2018

Visible-light communication (VLC) combined with advanced illumination can be expected to become an integral part of next-generation communication networks. One of the major concerns in VLC implementation is developing resource-allocation schemes in a multi-user scenario. However, the scheduling for heterogeneous quality of service (QoS) traffic has not been studied so far, for the indoor VLC downlink system. In this paper, we creatively introduce effective-bandwidth and effective-capacity theory into the multi-user scheduling (MUS) problem, to guarantee the user's statistical delay QoS. We also take account of the aggregate interference (AI) in the indoor VLC downlink system, and analyze its impact on the user-centric MUS problem for the first time. Simulations show that the AI has a nonnegligible influence on the scheduling result, and that the proposed scheduling scheme could guarantee the user's QoS requirement under the premise of ensuring sum capacity.

• 인터넷정보학회논문지
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• 제24권6호
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• pp.23-29
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• 2023

가상현실 분야에서는 사용자 경험의 몰입도를 극대화하기 위해 햅틱 피드백을 활용하고 발전시키려는 지속적인 노력이 있었다. 그러나 대부분의 햅틱 피드백은 진동 모터 등 경제성을 고려한 액추에이터를 사용하는 문제로 인해 제한적인 촉각 경험만을 사용자에게 제공할 수 있었다. 복싱과 같은 스포츠 시뮬레이션이나 게임에서의 타격 경험의 경우, 실제 물체를 타격하는 감각과 진동 액추에이터로 렌더링되는 감각 사이의 괴리 때문에 한계가 분명하다. 본 연구에서는 이를 주목하여, 사용자가 손으로 가상의 물체를 타격할 때 가상 임팩트를 생성할 수 있는 햅틱 임팩트 시스템을 제안했다. 햅틱 인터페이스는 퀵 리턴 메커니즘을 사용하여 엔드이펙터가 사용자의 주먹에 햅틱 임팩트 피드백을 직접 전달하고 진동 촉감을 통해서 사용자의 손바닥에 가상 임팩트 감각을 전달할 수 있도록 하였다. 제안된 시스템은 인간 대상 실험을 통해 평가하였으며 실험 결과는 햅틱 임팩트 가상 임팩트의 인지 강도와 사실감에 유의한 영향을 미친다는 것을 나타낸다.