• Title/Summary/Keyword: Information disclosure

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Testing the Information Content of Sustainability Reports for Telecommunications Companies in the Kingdom of Saudi Arabia

  • DIFALLA, Samhi Abdelaty;BELOUADAH, Fateh
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.137-145
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    • 2022
  • This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

Healthcare Data Supervision and Secrecy in Cloud Computing

  • Hossain, Al Amin;Islam, Md. Motaharul;Aazam, Mohammad;Lee, Seung-Jin;Huh, Eui-Nam
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.695-697
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    • 2013
  • Medical data sharing is increasing due to treatment duplication which increases the cost of medication. Medical healthcare system has been improved to combine with cloud computing. It reduces treatment delay and the medical data error. However, the concern about the privacy protection of medical information is also significant. Medical information is more sensitive than other information because involuntary disclosure can affect in both personal and social life. Privacy cloud brokerage has conquered great attention for solving these problems. Our method provides a security model in the cloud computing environment that facilitates the exchange of medical records between assigned custodians. It allows doctors to obtain a complete patient medical records which can help to avoid duplication, reduce the medical error and healthcare cost as well. In addition, our method offers a trustworthy solution against the privacy violence.

Clustering-Based Federated Learning for Enhancing Data Privacy in Internet of Vehicles

  • Zilong Jin;Jin Wang;Lejun Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.6
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    • pp.1462-1477
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    • 2024
  • With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

A Study on the Countmeasures of the Korean Pharmaceutical/Bio Industry to the EU Corporate Sustainability Due Diligence Directive, by using Text Mining (텍스트 마이닝을 활용한 국내 제약·바이오 업종의 EU 공급망 실사법 대응 방안 연구)

  • Sori Kim;Joonhak Ki
    • Information Systems Review
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    • v.26 no.1
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    • pp.93-117
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    • 2024
  • In February 2022, the EU announced a draft of the EU Corporate Sustainability Due Diligence Directive requiring due diligence and disclosure of information on environmental and human rights risks in corporate supply chains. This study evaluated the ability of 13 Korean pharmaceutical/bio companies to respond to the EU's demand for due diligence in the supply chain and compared it to 13 globally leading pharmaceutical/bio companies which are considered good in environmental and human rights risk management. For comparative analysis, text mining analysis was performed using R. Basic word frequency and concurrent words were analyzed and topic modeling was performed by applying Latent Dirichlet Allocation. As a result of the analysis, it was found that compared to advanced companies, domestic pharmaceutical and bio companies lack negative issue reporting and identification systems and supply chain due diligence implementation processes, and require advancement of data management for environmental and human rights information disclosure. Accordingly, domestic pharmaceutical and bio companies need to prepare differentiated support measures to systematically identify and reduce risks in the supply chain of small and medium-sized businesses beyond simply providing financial support. It is also desirable for the government to provide policy support by mandating Korea's own supply chain environment and human rights due diligence system, along with support for strengthening the ability to respond to due diligence of domestic pharmaceutical and bio companies, such as expert consulting and financial support.

A Fast and Secure Scheme for Data Outsourcing in the Cloud

  • Liu, Yanjun;Wu, Hsiao-Ling;Chang, Chin-Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2708-2721
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    • 2014
  • Data outsourcing in the cloud (DOC) is a promising solution for data management at the present time, but it could result in the disclosure of outsourced data to unauthorized users. Therefore, protecting the confidentiality of such data has become a very challenging issue. The conventional way to achieve data confidentiality is to encrypt the data via asymmetric or symmetric encryptions before outsourcing. However, this is computationally inefficient because encryption/decryption operations are time-consuming. In recent years, a few DOC schemes based on secret sharing have emerged due to their low computational complexity. However, Dautrich and Ravishankar pointed out that most of them are insecure against certain kinds of collusion attacks. In this paper, we proposed a novel DOC scheme based on Shamir's secret sharing to overcome the security issues of these schemes. Our scheme can allow an authorized data user to recover all data files in a specified subset at once rather than one file at a time as required by other schemes that are based on secret sharing. Our thorough analyses showed that our proposed scheme is secure and that its performance is satisfactory.

A Study on Reliable Electronic Medical Record Systems (신뢰할 수 있는 전자의무기록에 관한 연구)

  • Kim, Yong-Young;Shin, Seung-Soo
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.193-200
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    • 2012
  • The existing EMR method placing computer servers in hospitals could expose patients' personal information to hospital officers and people for wrong purposes. In addition, if medical malpractice occurs, the possibility of distorting medical records might be higher because patients' medical records are stored in hospitals. This study provides an electronic medical record with a security system to solve patients' information disclosure. The electronic medical record system could be utilized as an important information when medical malpractice occurs. This system can provide higher security services certifying patients safely and efficiently as well as protecting patients' personal information.

A Study on Factors Influencing Privacy Decision Making on the Internet: Focus on Dual-Calculus Model (온라인 환경에서 프라이버시 의사결정에 영향을 미치는 요인에 관한 연구: 이중계산모델을 중심으로)

  • Kim, Sanghee;Kim, Jongki
    • The Journal of Information Systems
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    • v.25 no.3
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    • pp.197-215
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    • 2016
  • Purpose This study aims to investigate the factors that influence decision making in relation to providing personal information on the internet with respect to the integration of the privacy calculus theory and protection motivation theory based on the dual-calculus model proposed by Li(2012). Design/methodology/approach The privacy calculus theory and protection motivation theory have been applied to explain privacy behavior to a certain degree but few studies have been conducted to explain privacy behavior based on the integration of these two theories. Although Li(2012) proposed the dual-calculus model, he only proposed its framework and did not carry out an empirical study. Therefore, this study proposes a research model that integrates these two theories and examines the relationship between the two theories through an empirical study. Findings According to the results of empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between coping appraisal and privacy risk in the risk calculus process. Thus, the results verify that external threat played a decisive role in increasing the risk level of a consumer's privacy. It can be discussed the ways to enhance the privacy behavior of consumer on the internet through these findings.

Classification of universities in Daegu·Gyungpook by support vector cluster analysis (서포트벡터 군집분석을 이용한 대구·경북지역 대학의 분류)

  • Park, Hye Jung;Kim, Jong Tae
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.783-791
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    • 2013
  • There are sixteen indicators of "College Information" found on the website of College Information Disclosure Center. Among these indicators, the current study examined an enrollment rate and an employment rate based on health insurance coverage, and focused on twenty-four universities in Daegu and Gyeongbuk area. The universities were classified into groups by the enrollment rate and employment rate. This study investigated the characteristics pertaining to those different groups. Hierarchical cluster analysis and support vector cluster analysis were conducted in order to analyze the characteristics of the groups statistically.

Psychometric Properties of the Korean Translation of the Attention-Deficit/Hyperactivity Disorder Stigma Questionnaire

  • Rim, Soo Jung;Jang, Hyesue;Park, Subin
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.29 no.3
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    • pp.122-128
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    • 2018
  • Objectives: This study evaluated the psychometric properties of the Korean version of the attention-deficit/hyperactivity disorder (ADHD) Stigma Questionnaire (ASQ) and the effect of the source of information about mental health on ADHD stigma. Methods: The Korean translation of the ASQ was prepared, and 673 participants, 20-64 years of age, completed the questionnaire using an online panel survey in South Korea. The participants also completed questionnaires detailing sociodemographic variables and the source of their mental health knowledge. Cronbach's alpha coefficient was used to explore the internal consistency of the ASQ. Factor analysis using Varimax rotation was conducted to investigate the structure of the ASQ. Results: The 26-item ASQ demonstrated excellent internal consistency (Cronbach's alpha=0.940). Factor analysis supported a three-factor structure, including Concerns with Public Attitudes, Negative Self-Image, and Disclosure Concerns. There were no significant differences in the total ASQ scores according to sociodemographic characteristics. Participants who reported the internet as their major source of information about mental health showed higher ASQ scores compared to those who used other sources for mental health information. Conclusion: The Korean translation of the ASQ has acceptable psychometric properties among Korean adults. Inaccurate information from the internet could increase the stigma toward ADHD.

A Study on the Effective Strategy of Electronic Paper Resources Management (전자문서자원의 효율적 관리방안에 관한 연구)

  • 김은정
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.4
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    • pp.145-153
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    • 1998
  • Electronic paper resources management becomes an important alternative to overcome the inefficiency of various dysfunctions and pathologies dependent upon bureaucratic paperworks and to enhance organizational competitiveness. Korean government and enterprises have less recognized the importance of electronic document management and ignored the merits of introducing information technology into organizations. By means of document and paper exchange, decision making and signature, mail and bulletin board systems, information disclosure and sharing using electronic technology, however, electronic document management system can enhance organizational performance on a considerable degree. In this sense, it is necessary to introduce the system as soon as possible. Several measures are required : revising related laws and regulations, reforming the sense and behavior of personnel, establishing technological basis of the system, standardizing word processors and document formats.

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