• Title/Summary/Keyword: Privacy Trust

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Motivating Factors for Providing Personal Data in MyData Services: The Moderating Effect of Perceived Personal Information Self-Determination (마이데이터 서비스 이용을 위한 개인정보제공 동기 요인: 개인정보자기결정권 인지 수준의 조절효과)

  • Hyeonjeong Kim;Soohyun Kwon;Jeongu Choi;Beomsoo Kim
    • Knowledge Management Research
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    • v.25 no.2
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    • pp.219-243
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    • 2024
  • This study investigates the impact of privacy concerns, perceived utility, and awareness of the right to personal data self-determination on the effective use and expansion of MyData services, which are critical to the data economy. Integrating the value-based adoption model with privacy calculus theory, the research examines how perceived utility, privacy concerns, trust, and personal innovativeness influence perceived value, perceived privacy, and the intention to provide personal information. Data collected from an online survey of 442 MyData service users and prospective users were analyzed using PLS-SEM and Bootstrapping methods via SmartPLS 4. The results indicate that perceived utility positively affects the intention to provide personal information, while privacy concerns have a negative impact. Trust and personal innovativeness positively influence the intention to adopt MyData services, and the awareness of personal data self-determination rights moderates these intentions. The findings underscore the importance of developing beneficial services that mitigate users' privacy concerns and build trust for the successful implementation of MyData services. Additionally, the study highlights the need for education and awareness campaigns to enhance understanding of the right to personal data self-determination.

Factors affecting the Continuance Usage Intention of Biometric Technology : Comparing Dark Scenario with Bright Scenario (생체인식기술의 지속사용의도에 영향을 미치는 요인에 관한 연구 : 다크 시나리오와 브라이트 시나리오의 비교)

  • Lee, Byung-Yong;Kim, Min-Yong
    • The Journal of Society for e-Business Studies
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    • v.16 no.3
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    • pp.1-22
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    • 2011
  • The purpose of this study is to verify the relationship between expectancy confirmation and continuance usage intention in biometric technology. We extend the continuance usage intention model, TAM and expectation confirmation theory by adding perceived privacy, perceived security and trust. Results was analyzed by using structural equations model. The results show that satisfaction and perceived usefulness have positive effect on continuance usage intention in the bright scenario. Perceived privacy and perceived security are positive factors on perceived usefulness, and perceived privacy is positive effect on perceived security. On the other hand, the respondents who are exposed to the dark scenario have negative effects on the perceived privacy, perceived security and trust. And finally, trust has no significant effect on the perceived usefulness.

Democratic Values, Collective Security, and Privacy: Taiwan People's Response to COVID-19

  • Yang, Wan-Ying;Tsai, Chia-hung
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.222-245
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    • 2020
  • In the pandemic crisis, many governments implemented harsh interventions that might contradict democratic values and civil liberties. In Taiwan, the debate over whether or not to reveal personal information of infected persons to limit the coronavirus's spread poses the democratic dilemma between public health and civil liberties. This study examines whether and explains how Taiwan's people respond to the choice between individual privacy and collective security. We used survey data gathered in May 2020 to show that, first, the democratic values did not deter the pursuit of collective safety at the cost of civil liberty; rather, people with higher social trust were more likely to give up their civil liberties in exchange for public safety. Second, people who support democratic values and pursue collective security tend to avoid violating privacy by opposing the release of personal information. This study proves that democratic values do not necessarily threaten collective safety and that the pursuit of common good can co-exist with personal privacy.

Predictors of Mobile Advertising Avoidance: What Makes People Avoid Mobile Advertising?

  • Um, Nam-Hyun
    • International Journal of Contents
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    • v.15 no.4
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    • pp.44-49
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    • 2019
  • This study is designed to examine antecedents and consequences of mobile advertising avoidance. However, to date, research on mobile advertising avoidance has been scarce. Thus, this study makes significant contributions by addressing understudied areas in mobile advertising. Study results show that the perceived mobile advertising risk is positively related to mobile advertising avoidance. This study found that the perceived trust in mobile advertising is negatively linked to mobile advertising avoidance. The study results show that the perceived Internet users' data privacy concerns is positively linked to mobile advertising avoidance. Finally, study results suggest that mobile advertising avoidance is positively linked to intention to delete the ad.

A Study on the Intention to Provide Personal Information by Type of Big Data Services (빅데이터 서비스 유형에 따른 개인정보 제공 의도에 관한 연구)

  • Jung, Seungmin
    • Journal of Information Technology Applications and Management
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    • v.29 no.3
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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.

Centralized Smart Government Architecture based on Trust Manager

  • Ahamad, Shaik Shakeel
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.565-569
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    • 2021
  • The rapid growth and development of ICT (Information and Communication Technology) and internet services has boosted the adoption of Mobile Government services all around the globe. There is a huge increase in the adoption of government services during COVID-19 pandemic. Existing Mobile Government (MG) solutions are not trustworthy and secure. This paper provides secure and trustworthy solution for mobile government, proposes a centralized smart governance architecture which is based on trust manager. Our proposed work has Wireless Bridge Certifying Authority (WBCA) and Wireless Public Key Infrastructure (WPKI) thereby ensuring security and privacy. Our proposed work ensures trust with WBCA as WBCA acts as a Trust Manager (TM). Proposed protocol has less computational cost and energy cost

A Study on the Factors Affecting the Intention to use public Institution staff's Cloud Computing Service (공공기관 조직구성원의 클라우드 컴퓨팅 서비스 이용의도에 영향을 미치는 요인에 관한 연구)

  • Choi, Hyukra;Kim, SeonMyung
    • Informatization Policy
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    • v.21 no.2
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    • pp.49-66
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    • 2014
  • In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the IT industry. However, as more and more information on individuals and companies are placed in the cloud, concerns on just how safe the computing environment is have gradually increased. In this study, it will be explored if key characteristics of cloud computing services would affect the behavioral intention to use public cloud computing services. A conceptual model is developed and seven research hypotheses are proposed for empirical testing. The proposed model is examined through structural equation analysis. The results show that perceived risk has statistically significant effect on the privacy concern of users and the privacy concern has a negative influence on the trust. Finally, the trust has a positive effect on the attitude and the attitude has statistically significant effect on use intention. Implications of these findings are discussed for both researchers and practitioners and future research issues are raised as well.

A Framework for Trustworthy Open Shared Authentication Protocol (신뢰적인 개방형 공유 인증 프로토콜 프레임워크)

  • Park, Seung-Chul
    • The KIPS Transactions:PartC
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    • v.18C no.6
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    • pp.389-396
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    • 2011
  • Recently, researches on the shared authentication based on single sign-on have been actively performed so as to solve the problems of current service provider-centric and isolated Internet authentications, including low usability, high cost structure, and difficulty in privacy protection. In order for the shared authentication model, where the authentications of an authentication provider are shared by several Internet service providers, to be accepted in real Internet environment, trustworthiness among users, service providers, and authentication providers on the level of authentication assurance and the level of authentication information protection is necessarily required. This paper proposes a framework for trustworthy and privacy-protected shared authentication protocol based on the user-centric operation and open trust provider network. The proposed framework is differentiated from previous works in the points that it is able to provide interoperable shared authentication services on the basis of open trust infrastructure.

Enhancing Location Privacy through P2P Network and Caching in Anonymizer

  • Liu, Peiqian;Xie, Shangchen;Shen, Zihao;Wang, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1653-1670
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    • 2022
  • The fear that location privacy may be compromised greatly hinders the development of location-based service. Accordingly, some schemes based on the distributed architecture in peer-to-peer network for location privacy protection are proposed. Most of them assume that mobile terminals are mutually trusted, but this does not conform to realistic scenes, and they cannot make requirements for the level of location privacy protection. Therefore, this paper proposes a scheme for location attribute-based security authentication and private sharing data group, so that they trust each other in peer-to-peer network and the trusted but curious mobile terminal cannot access the initiator's query request. A new identifier is designed to allow mobile terminals to customize the protection strength. In addition, the caching mechanism is introduced considering the cache capacity, and a cache replacement policy based on deep reinforcement learning is proposed to reduce communications with location-based service server for achieving location privacy protection. Experiments show the effectiveness and efficiency of the proposed scheme.

A Research on the Transference of Trust from Service Provider to MyData Banking Service (서비스 제공 기업에 대한 신뢰가 금융 마이데이터 서비스에 전이되는 현상에 관한 연구)

  • Ah Ro Kum;Jung Hoon Lee;Yun A Yeo
    • Journal of Information Technology Services
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    • v.23 no.1
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    • pp.97-121
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    • 2024
  • As data usage grows in importance, ensuring individual control over personal information becomes critical. The emergence of the 'MyData' concept addresses this, particularly in financial services. Although the institutional and technological framework for financial MyData services is in place, there's a need to establish consumer understanding and perception of its usefulness and safety for successful activation. This study focuses on investigating the impact of trust on the intention to use the new mobile banking service, financial MyData. This study has three objectives. Firstly, to analyze whether trust in financial MyData services and trust in financial MyData service providers affect the intention to use financial MyData services. Secondly, to analyze the process of forming trust in financial MyData services based on the phenomenon of transferring trust in service providers to trust in services. Thirdly, to identify the process by which trust transfer occurs between service providers and financial MyData services. Ultimately, the goal of this study is to promote the intention to use financial MyData services based on the concept of trust and to activate these services. In summary, this study emphasizes the significance of trust in financial MyData services, exploring its impact on user intention and the transfer of trust from providers to services. By promoting consumer trust, the research aims to contribute to the activation of financial MyData services.