• Title/Summary/Keyword: Disclosure of information

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5% Rule Disclosure and Stock Trading Volume : Evidence from Korea

  • KIM, Eung-Gil;KIM, Sook-Min
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.297-307
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    • 2019
  • Despite the fact that the implementation of 5% rule is widely recognized to enhance the transparency of capital market and fairness of corporate governance market, a few evidences present information effect of 5% rule. Using 7,088 non-financial firm-year observations listed on the Korea Stock Exchange from 2006 to 2012, we analyze the relation between trading volume and 5% rule disclosure. The results show that the daily and abnormal trading volume is increased when 5% rule disclosure is released. Moreover, the trading volume is significantly increased during cooling period. Specifically, trading volume is significantly greater when one day before cooling period or the expiration day of cooling period. We also find the information effect of firms with stable ownership structure before 5% rule disclosure is relatively smaller than the firms with unstable ownership structure with unstable ownership structure. These results imply that capital market participants use the information from 5% rule disclosure and reflect in their real economic decision.

An Analysis of the Information Disclosure System in the Judiciary of Korea (법원의 정보공개제도 운영 현황 분석)

  • Kwak, Jiyoung;Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.19 no.2
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    • pp.77-107
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    • 2019
  • This study aims to analyze the current state of the operation of the information disclosure system in the judiciary of Korea to identify problems and suggest ways to provide more effective and substantive requests for information disclosure in the future. To this end, we reviewed the court's information disclosure claims process from 2007 to 2017 using the data published in the judicial yearbook and the data charged to the court information disclosure system of Korea. Results showed the different processes according to the person in charge, the high withdrawal rate, the complaint response rate, and the trend of the information nonexistence as the common problems. To solve these issues, we proposed to improve the various claims system, strengthen the education of the information disclosure claimant, publish the manual, and expand the provision and original text of information in advance.

Review on statistical methods for protecting privacy and measuring risk of disclosure when releasing information for public use (정보공개 환경에서 개인정보 보호와 노출 위험의 측정에 대한 통계적 방법)

  • Lee, Yonghee
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.5
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    • pp.1029-1041
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    • 2013
  • Recently, along with emergence of big data, there are incresing demands for releasing information and micro data for public use so that protecting privacy and measuring risk of disclosure for released database become important issues in goverment and business sector as well as academic community. This paper reviews statistical methods for protecting privacy and measuring risk of disclosure when micro data or data analysis sever is released for public use.

A Study on the Calculation and Provision of Accruals-Quality by Big Data Real-Time Predictive Analysis Program

  • Shin, YeounOuk
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.193-200
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    • 2019
  • Accruals-Quality(AQ) is an important proxy for evaluating the quality of accounting information disclosures. High-quality accounting information will provide high predictability and precision in the disclosure of earnings and will increase the response to stock prices. And high Accruals-Quality, such as mitigating heterogeneity in accounting information interpretation, provides information usefulness in capital markets. The purpose of this study is to suggest how AQ, which represents the quality of accounting information disclosure, is transformed into digitized data in real-time in combination with IT information technology and provided to financial analyst's information environment in real-time. And AQ is a framework for predictive analysis through big data log analysis system. This real-time information from AQ will help financial analysts to increase their activity and reduce information asymmetry. In addition, AQ, which is provided in real time through IT information technology, can be used as an important basis for decision-making by users of capital market information, and is expected to contribute in providing companies with incentives to voluntarily improve the quality of accounting information disclosure.

Release of Microdata and Statistical Disclosure Control Techniques (마이크로데이터 제공과 통계적 노출조절기법)

  • Kim, Kyu-Seong
    • Communications for Statistical Applications and Methods
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    • v.16 no.1
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    • pp.1-11
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    • 2009
  • When micro data are released to users, record by record data are disclosed and the disclosure risk of respondent's information is inevitable. Statistical disclosure control techniques are statistical tools to reduce the risk of disclosure as well as to increase data utility in case of data release. In this paper, we reviewed the concept of disclosure and disclosure risk as well as statistical disclosure control techniques and then investigated selection strategies of a statistical disclosure control technique related with data utility. The risk-utility frontier map method was illustrated as an example. Finally, we listed some check points at each step when microdata are released.

The Impact of An Interaction between Product Quality and Perceived Risk on Seller Profit

  • Seung HUH
    • The Journal of Economics, Marketing and Management
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    • v.11 no.2
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    • pp.23-32
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    • 2023
  • Purpose: This study examines the effect of full information disclosure on seller profit when there exists information asymmetry between sellers and buyers, focusing on the risk averseness of buyers. By investigating the interaction between product quality and perceived risk through online sales data, we attempt to figure out the incentive structure of full information disclosure specifically when buyers are risk-averse, so that we can suggest more feasible information disclosure strategy to sellers. Research design, data and methodology: Our empirical model analyzes the sales data of collectible goods from a major online seller using Poisson regression. In our model, we have specifically considered risk-averseness of buyers by estimating the interaction effect between the product quality and perceived risk on seller profit, aiming for a more precise empirical analysis on sellers' incentive structure of full disclosure. Results: Our empirical analysis strongly supports the effect of interaction between product quality and perceived risk, showing that the incentive for full disclosure is much stronger when product quality is higher, and vice versa. Therefore, sellers are strongly encouraged to voluntarily reveal product weaknesses when their product quality is higher than average, while it is more profitable to hide any product defects when quality claim is lower than average. Conclusions: This study supports the related literature by confirming economic incentives for full disclosure, and also supplements and strengthens previous studies by presenting that the effect of interaction between product quality and perceived risk strongly affects seller profit. Our unique finding supports both mandatory disclosure and voluntary disclosure arguments and presents practical implications to marketing managers by suggesting that seller's incentive for revealing weaknesses depends on the level of seller's product quality.

The Moderating Role of Site Usage Experience in Internet Users' Decision on Personal Information Disclosure (개인정보제공 의사결정에 있어서 사이트 이용경험의 조절효과에 대한 연구)

  • Lee, Dong-Joo
    • Informatization Policy
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    • v.19 no.2
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    • pp.21-38
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    • 2012
  • The proliferation of the Internet and the advent of e-commerce have amplified public concerns about privacy. Accordingly, much research effort has been made on the issue. While existing research on online information privacy has usually focused on the examination of antecedents of personal information disclosure, the literature has not paid attention to the potential changes of the antecedents' effects depending on the user's experience of the service. The current study aims to investigate the moderating role of site usage experience in Internet users' decision on personal information disclosure. Specifically, this study considers two types of antecedents of personal information disclosure on a site - the attributes of personal information requested (sensitivity and relevance of information) and the value of the service provided by the site; and examines how the effects of the antecedents on the disclosure intention are affected by the users'experience of the site. Our analysis of the data gathered through a web-based experiment reveals that site usage experience moderates the relationship between the attributes of personal information and disclosure intention. While usage experience attenuates the negative effect of information sensitivity on disclosure intention, it intensifies the positive impact that relevance of information has on disclosure intention. Based on the analysis results, we provide implications for the mitigation of the Internet users' privacy concerns as well as theoretical implications.

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Good Governance and Information Disclosure: Focus on the LAIIS(Local Administration Integrated Information System) (굿 거버넌스와 정보공개 - 지방행정종합정보공개시스템을 중심으로 -)

  • Kim, Mee-Kyung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.19 no.1
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    • pp.203-220
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    • 2008
  • To be a good government, it has to provide accurate information to citizens to help them understand reality well. Furthermore, the government has to provide an authority to the citizens so that they could access to the information system. The information must be shared equally between the government and the citizens. With sincere effort on the information disclosure and clarity of the administration, the government should accomplish good governance. This paper introduces the information disclosure cases to achieve good governance.

The Effects of Social Media Influencers' Advertising Disclosure on Consumer Responses on Instagram

  • Abdullahi, Fartun
    • International Journal of Contents
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    • v.16 no.1
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    • pp.10-24
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    • 2020
  • As many brands use social media influencers (SMIs) on Instagram to advertise, not disclosing advertised content affects how consumers perceive these influencers. The purpose of this study was to investigate two objectives: 1) recent advertising disclosure types on Instagram and 2) the factors that affect consumer responses towards Instagram influencers posting advertised content. Using an experimental 2x2 between-subjects design (N=200), the findings show that "sponsored" and "paid partnership with" are two recent types of ad disclosures. However, both factors are insignificantly different from each other. Also, ad disclosure condition enhances the trustworthiness of the influencer than no disclosure. Ad skepticism, source credibility, and the level of persuasion strongly relate to how consumers perceive Instagram influencers advertising for brands. These factors enable consumers to assess if the influencer is a reliable source of information when faced with advertisement. Ultimately, using disclosure gives full information to consumers about the persuasive intent, as well as increases positive consumer responses towards the influencer who discloses, thereby, enhancing the ethical use of the influencer advertising strategy and long-term consumer relationship.