Public IT service strategy for social information security in the intelligence all-things environment

Yoo, Jinho; Chang, Hangbae

doi:10.1007/s10660-014-9155-2

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Lee and Kim (2017) found that the reason for the continuous occurrence of personal information leakage is that the compensation for victims is insufficient and the cost borne by companies is low, which leads to the loss of reasons for enterprises to invest in information security, and thus results in a lower average level of personal information security. Yoo and Chang (2014) found that the disclosure and abuse of personal information privacy by internal personnel of Internet service providers was an essential reason for information disclosure, and the current research mainly focused on technical means, while the security research on management factors was ignored.…”

Section: Literature Reviewmentioning

confidence: 99%

View analysis of personal information leakage and privacy protection in big data era—based on Q method

Huang

Zhou

Lin

et al. 2021

AJIM

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PurposeIn the era of big data, people are more likely to pay attention to privacy protection with facing the risk of personal information leakage while enjoying the convenience brought by big data technology. Furthermore, people’s views on personal information leakage and privacy protection are varied, playing an important role in the legal process of personal information protection. Therefore, this paper aims to propose a semi-qualitative method based framework to reveal the subjective patterns about information leakage and privacy protection and further provide practical implications for interested party.Design/methodology/approachQ method is a semi-qualitative methodology which is designed for identifying typologies of perspectives. In order to have a comprehensive understanding of users’ viewpoints, this study incorporates LDA & TextRank method and other information extraction technologies to capture the statements from large-scale literature, app reviews, typical cases and survey interviews, which could be regarded as the resource of the viewpoints.FindingsBy adopting the Q method that aims for studying subjective thought patterns to identify users’ potential views, the authors have identified three categories of stakeholders’ subjectivities: macro-policy sensitive, trade-offs and personal information sensitive, each of which perceives different risk and affordance of information leakage and importance and urgency of privacy protection. All of the subjectivities of the respondents reflect the awareness of the issue of information leakage, that is, the interested parties like social network sites are unable to protect their full personal information, while reflecting varied resistance and susceptibility of disclosing personal information for big data technology applications.Originality/valueThe findings of this study provide an overview of the subjective patterns on the information leakage issue. Being the first to incorporate the Q method to study the views of personal information leakage and privacy protection, the research not only broadens the application field of the Q method but also enriches the research methods for personal information protection. Besides, the proposed LDA & TextRank method in this paper alleviates the limitation of statements resource in the Q method.

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Section: Literature Reviewmentioning

confidence: 99%

View analysis of personal information leakage and privacy protection in big data era—based on Q method

Huang

Zhou

Lin

et al. 2021

AJIM

View full text Add to dashboard Cite

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Artificial Intelligence in the Public Sector - a Research Agenda

Wirtz

Langer

Fenner

2021

International Journal of Public Administration

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An Analysis of Relationship between Industry Security Education and Capability: Case Centric on Insider Leakage

Lee

Kim

2015

The Journal of Society for e-Business Studies

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Current leakage of industrial technologies with revealing state secret against nation is gradually increasing and scope of the spill is diversified from technology-oriented leakage to new economic security sector like information and communication, electrical and electronic, defense industry, illegal export of strategic material, economic order disturbance by foreign country, infringement of intellectual property, etc. So the spill damage can affect not only leaked company but also national interests and entire domestic industry. According to statistics from National Industrial Security Center of National Intelligence Service, a major cause of technology leakage is not only by external things about hacking and malignant code, but internal leakage of former and current employees account for about 80%. And technology leakage due to temptation of money and personal interests followed by technology leakage of subcontractor is steadily increased.

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Public IT service strategy for social information security in the intelligence all-things environment

Cited by 3 publications

References 21 publications

View analysis of personal information leakage and privacy protection in big data era—based on Q method

View analysis of personal information leakage and privacy protection in big data era—based on Q method

Artificial Intelligence in the Public Sector - a Research Agenda

An Analysis of Relationship between Industry Security Education and Capability: Case Centric on Insider Leakage

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