• Journal of Information Technology Applications and Management
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• 제29권3호
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• pp.57-74
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• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• 디지털융복합연구
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• 제19권10호
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• pp.151-161
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• 2021

본 연구에서는 사회적 배제 경험이 프라이버시 염려와 개인정보 제공의도에 미치는 영향력을 살펴보고, 그 과정에서 지각된 통제감의 조절효과를 알아보기 위한 연구를 진행하였다. 그 결과 사회적 배제가 사용자의 프라이버시 염려를 증가시키고, 개인정보 제공의도를 감소시키는 것으로 나타났다. 또한 사회적 배제가 사용자의 프라이버시 염려와 개인정보 제공의도에 미치는 지각된 통제감의 조절효과도 유의한 것으로 검증되었다. 즉, 지각된 통제감으로 인해 사회적 배제가 프라이버시 염려와 개인정보 제공의도에 미치는 영향력을 감소시킬 수 있다는 사실을 입증하였다. 본 연구의 결과는 사회적 배제가 사용자의 프라이버시 염려와 개인정보 제공 행동에 영향을 미치는 요인으로 작용할 수 있다는 사실을 발견하고, 지각된 통제감이 사회적 배제의 영향력을 감소시킬 수 있다는 사실을 증명함으로써 기존의 프라이버시 관련 연구 분야에서 개인의 심리적 요인도 영향 변수로 고려해야 한다는 시사점을 제공한다.

• 한국정보시스템학회지:정보시스템연구
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• 제21권4호
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• pp.55-79
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• 2012

LBS(Location-Based Service) is one of the smartphone application services which has been receiving great attention recently. Various applications of smartphone use LBS to provide innovative services. However, use of LBS raises privacy concerns because the location information of users is constantly exposed. Privacy calculus perspective attempts to understand the characteristics of the user's privacy. It is based on the risk-benefit analysis in the economics' perspective. That is, when the benefit expected through personal information disclosure is higher than risk, we are willing to provide personal information. This research suggested a research model based on the privacy calculus perspective to clarify the effect of information disclosure intention of smartphone LBS application users. Based on the main factors of privacy calculus, perception of privacy risk and privacy benefit, the relationship of the perceived value and the information disclosure intention was empirically analyzed by utilizing structural equation modeling(SEM) methodology. According to the results of the empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between privacy concern and information disclosure intention. This study showed a strong evidence of antecedent factors based on privacy calculus of personal information disclosure in smartphone LBS applications.

• 한국정보시스템학회지:정보시스템연구
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• 제21권2호
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• pp.73-96
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• 2012

With emergence of smart technologies(e.g., smartphones), Location-Based Services(LBS) are expected to provide more enhanced values utilizing consumers' personal information than other smart services. However, in contrast to existing smartphone applications, LBS could raised severe consumer's privacy concerns because of rapidly changing information sensitive to consumers. In this context, the purpose of this study is to explore relationships among privacy concerns reduction, trust and intention to use LBS by examining the effect of precedence factors(social presence, reputation, mobile literacy, ability of information control) of privacy concern reduction. In addition, the study investigates the role of personal innovation as a moderating effect between privacy concern reduction and intention to use LBS. The results showed that the proposed precedence factors of privacy concerns with a exception of Mobile Literacy had a positive impact on privacy concerns reduction that then positively affected trust and intention to use LBS. In addition, the relationship between trust and intention to use LBS was significantly supported. Finally, personal innovation as a moderating effect significantly influenced the relationship between privacy concern reduction and intention to use LBS. This study is expected to be a reference for a subsequent study about the spread of LBS application of smartphone. Also, the finding of this study is meaningful for helping service direction to firms providing LBS.

• 지식경영연구
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• 제25권2호
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• pp.219-243
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• 2024

본 연구는 데이터 경제에서 중요한 마이데이터 서비스의 효과적 활용 및 확산에 기여하고자 프라이버시 우려, 지각된 유용성, 개인정보자기결정권 인식의 영향을 분석한다. 가치기반수용모델과 프라이버시 계산이론을 통합하여, 지각된 유용성, 프라이버시 우려, 신뢰, 개인혁신성이 지각된 가치, 지각된 프라이버시 및 개인정보 제공 의도에 미치는 영향을 조사하였다. 이 연구는 마이데이터 서비스 이용자 및 이용예정자 442명을 대상으로 한 온라인 설문조사를 통해 수집된 데이터를 사용하였으며, 분석은 SmartPLS 4를 활용한 PLS-SEM 및 Bootstrapping 방법으로 수행되었다. 연구 결과, 지각된 유용성은 개인정보 제공 의도에 긍정적인 영향을, 프라이버시 우려는 부정적인 영향을 미쳤다. 신뢰와 개인혁신성은 마이데이터 서비스 수용 의도에 긍정적으로 작용하였고, 개인정보자기결정권 인식은 이러한 의도에 대한 조절효과를 나타내었다. 연구 결과는 마이데이터 서비스의 성공적 도입을 위해 이용자의 프라이버시 우려를 완화하고 신뢰를 구축할 수 있는 유용한 서비스 개발의 중요성을 강조하며, 개인정보자기결정권에 대한 인식 제고를 위한 교육 및 홍보의 필요성을 제시한다.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.114-149
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• 2024

Internet-only banks (IOB) refer to financial institutions which provide services entirely through online digital platforms without physical branches. Although IOBs have been around for over 26 years, there is still room for investigating what factors motivate customers to use them continuously and extensively. Therefore, this study aims to examine what factors lead to customers' intention of continued use and cross-buying on IOBs by extending the Post-Acceptance Model of IS Continuance (PAMISC). The result shows that perceived economic benefit and ongoing trust have significant relationships with the intention of continued use and that ongoing trust has significant direct and mediating (via intention of continued use) relationships with the intention of cross-buying. Also, personal innovativeness positively moderates the relationship between ongoing trust and the intention of cross-buying. This study sheds light on the literature on branchless financial services and PAMISC. IOB practitioners should revisit the effectiveness of customers' economic benefits to establish ongoing trust with customers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권6호
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• pp.1237-1252
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• 2010

This paper proposes an intelligent technique for data sharing and event transition among personal devices including smart phones, laptops, and desktops. We implemented the PES (Personal Event Service) system that proactively executes appropriate tasks across multiple devices without explicit user requests by sharing the data used by the user and recognizing user intention based on the observed actions of the user for specific devices. The client module of PES installed on each device monitors the user actions and recognizes the intention of the user. The server provides data sharing and maintenance for clients. The connection between client and server is established by Java RMI (Remote Method Invocation). A series of experiments were performed to evaluate user satisfaction and system accuracy, and the results showed that the PES system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.

• 디지털산업정보학회논문지
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• 제19권2호
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• pp.161-175
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• 2023

The purpose of this study is the effects of Social Characteristics and Personal Characteristics on Virtual Asset Purchase Intention. TPB (Theory of Planned Behavior) model is validated as a theoretical background. possessiveness, and innovation tendency, herding, subjective norm, attitude, and Purchase intention were composed of variables. The method of the study collected 474 data of those experienced in NFT through a survey and conducted as a structural equation modeling method using AMOS. The result of this paper shows that 4 hypotheses are accepted statistically significant except 1 hypotheses among 5 hypotheses. Therefore, this study demonstrated the factors that influence the purchase intention of non-fungible tokens. This study concluded that possessiveness, herding, subjective norm, attitude had a statistically significant effect on Purchase intention. NFT research is just getting started, and there are not many empirical studies targeting investors, interested people, and companies. In this respect, this study will be able to provide useful information for NFT research.

• 디지털융복합연구
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• 제13권4호
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• pp.219-225
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• 2015

개인정보가 유출되면 그 자체로 인해 피해가 발생되며, 또한 유출된 개인정보가 활용되는 2차 피해로 발전 될 수 있다. 따라서 개인정보를 제공하는 소비자들은 개인정보 유출에 대한 우려로 개인정보 제공에 대해 상당한 거부감을 갖게 된다. 이에 따라 본 연구는 개인정보를 수집, 취급하는 기업에 대한 신뢰 회복과 개인정보 제공에 대한 염려를 낮추는데 영향을 주는 요인들을 도출하여 실제로 개인정보 제공행동으로 연결될 수 있도록 하기위해 실증적으로 분석하여 검증하고자 하였다. 이를 바탕으로 정보 프라이버시 염려와 신뢰가 개인정보 제공의도와 행동에 어떠한 영향을 미치는지에 대한 영향도를 분석하였다. 연구 결과, 소비자에게 정보 프라이버시 염려를 낮추고 신뢰를 높여주는 정책이나 기술을 제공하면 개인정보를 제공할 것이며, 이를 산업적으로 활용할 수도 있을 것이다.

• 디지털산업정보학회논문지
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• 제19권2호
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• pp.147-160
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• 2023

Unlike other currencies, cryptocurrency is not a currency used for general transactions, but is currently applied to various investment assets and its scope is expanding. The purpose of this study is to the effect of personal characteristics on investment intention. As a theoretical background, it was verified by applying the Extended Technical Acceptance Model (ETAM). self-confidence propensity, bandwagon propensity, risk tolerance propensity, network externality, attitude, and Investment intention were composed of variables. The research method collected data from 871 people who had experience in cryptocurrency investment through a survey and analyzed it after excluding the data of 71 people who were judged to be inappropriate. The structural equation modeling method using AMOS was used. As a result of this paper, five hypotheses were accepted as statistically significant. This study concluded that self-confidence propensity, bandwagon propensity, risk tolerance propensity, network externality, and attitude had statistically significant effects on Investment intention. In this respect, this study will be able to provide useful information for cryptocurrency research.