• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1185-1194
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• 2020

This study aims to test Voluntary Disclosure, Quality of Financial Reporting and Information Asymmetry as Moderation Variables. The Voluntary Disclosure variable is calculated using the Index Disclosure. This research uses quantitative methods and uses partial least square with EViews data analysis. The research sample consisted of 225 manufacturing companies listed on the Indonesian stock exchange for the period 2016-2018. The results of the study state that voluntary disclosure has a positive and significant effect on the quality of financial reporting through asymmetric information. The relationship between voluntary disclosure and asymmetric information has a negative effect on the quality of financial reporting, states that the disclosure of voluntary reports to companies can prevent information asymmetry, as well as the relationship of voluntary disclosure to information asymmetry states that companies that make voluntary disclosure will increase the interest of investors and other stakeholders. The quality of financial reporting states that if there is information asymmetry, the quality of financial reporting will also decline. The low value of relevance will affect the level of large or small information gaps between management and investors. The quality of financial reporting with increased relevance means that asymmetric information will have a negative impact on financial reporting.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.270-275
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• 2022

Examining whether the relationship between proprietary information cost and management's disclosure decision is also valid for domestic companies is expected to provide meaningful implications for investors and regulatory authorities. However, there are no domestic studies related to proprietary information costs so far. This study examines whether managers tend to lower the disclosure level at their discretion in consideration of proprietary information costs. This study used the measurement quality of disclosure to examine whether managers tend to lower the disclosure level at their discretion in consideration of proprietary information costs. As a result of empirical analysis, it was confirmed that there is a negative relationship between proprietary information cost and the quality of disclosure. This suggests that management tends to make disclosure decisions in consideration of not only the benefits of disclosure but also proprietary information costs resulting from disclosure in order to maximize corporate value. These findings are expected to have significant implications for investors and related policy authorities.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.20-26
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• 2021

Considering the role of a financial analyst that directly affects investors as an information mediator, management's decision to disclose to maximize corporate value will have an important impact on investors as well. On the other hand, whether or not managers vary the level of disclosure depending on the corporate form will have great implications for policy authorities. However, there is no domestic research on the relationship between the corporate form and the quality of voluntary disclosure. Our study shows that the corporate form tends to deepen the negative relationship between the proprietary information cost and the quality of disclosure. Examining whether the relationship between proprietary information cost and management disclosure decision making is valid for domestic companies is expected to provide meaningful implications for investors and regulators. Depending on the corporate form, if an entity makes a discriminatory disclosure, the cost of capital will be affected. A more in-depth follow-up study on this should be done.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.199-208
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• 2020

This study investigates the direct and indirect effects, mediated by audit committee quality, of managerial ownership, institutional ownership, and profitability on intellectual capital (IC) disclosure. The object observed of this study is companies listed on the Indonesia Stock Exchange (IDX) in the 2014-2018 period that are classified as high intellectual capital-intensive industries. Based on the sampling method, purposive sampling, 51 companies were selected as samples. This study used path analysis techniques with IBM SPSS version 25 to study the direct and indirect influences of managerial ownership, institutional ownership, and profitability toward IC disclosure. The results of this study show that managerial ownership, profitability and audit committee quality have a significant positive effect on IC disclosure whereas institutional ownership has significant negative effect on IC disclosure. This study also provides empirical evidence, supported by the sobel test, that the audit committee quality is able to mediate the effect of institutional ownership and profitability on IC disclosure. However, the audit committee quality is not able to mediate the effect of managerial ownership on IC disclosure. These findings develop and strengthen the results of prior studies related to the implementation of signaling theory and agency theory in devoting more understanding about IC disclosure.

• 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.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.86-94
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• 2018

This study focuses on presenting the IT program module provided by real - time forecasting and database of the voluntary disclosure quality measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. This study suggests a model of the algorithm that the quality of real - time voluntary disclosure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.41-48
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• 2019

The Management Discussion and Analysis(MD&A) provides investors with an opportunity to gain insight into the company from a manager's perspective and enables short-term and long-term analysis of the business. And MD&A is an important channel through which companies and investors can communicate, providing a useful source of information for analyzing financialstatements. MD&A is measured by the quality of disclosure and there are many previous studies on the usefulness of disclosure information. Therefore, it is very important for the financial analyst who is the representative information user group in the capital market that MD&A Disclosure Quality is measured in real-time in combination with IT information technology and provided timely to financial analyst. In this study, we propose a method that real-time data is converted to digitalized data by combining MD&A disclosure with IT information technology and provided to financial analyst's information environment in real-time. The real-time information provided by MD&A can help the financial analysts' activities and reduce information asymmetry.

• Journal of Distribution Science
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• v.14 no.9
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• pp.85-94
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• 2016

Purpose - Recently, Mobile technologies and devices including smart phones and tablets have increased the possibility of communicating with other people and sharing personal information without time and space restriction. In order to realize the market potential related to mobile technologies, a large number of internet services have been incorporated into mobile platforms. Especially, The number of MIM(Mobile Instant Messenger) users has been increasing dramatically and services using MIM platform also have diversified. In spite of drastic growth in markets related to MIM, there is little empirical research on MIM and users' behaviors. This study designed to examine the structural relationships among belongingness, loneliness, self-disclosure intention, system quality, and self-disclosure behavior in context of MIM. Research design, data, and methodology - Three hypotheses were about the relationship among belongingness, loneliness and self-disclosure intention. The other two hypotheses were about the moderating effect of system quality in the causal relationship between self-disclosure intention and self-disclosure behavior. The data was analyzed by structural equation modeling. Research data were obtained from 330 undergraduate students who were KakaoTalk users and total 314 valid questionnaires were used in the final analysis. Results - The results from this study are as follow. First, the belongingness and the loneliness had a significant impact on self-disclosure intention in MIM. Second, the self-disclosure intention in MIM also had a positive impact on the self-disclosure behavior. Lastly, there is a moderating effect of the system quality in the relationship between the self-disclosure intention and self-disclosure behavior in MIM. Specifically, the higher system quality level was perceived, the positive effect of the self-disclosure intention in MIM on the self-disclosure behavior was greater. Conclusions - Based on the results from this study, academic and practical implications can be drawn. First, the study extends the scope of research about SNS through focusing on MIM to be classified by closed type SNS and identifies the relationship between emotion, behavioral intention and behaviors in MIM. Second, this study provides strategic guidelines to increase the efficiency for promotion activity. Limitations for the study also should be discussed.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.251-259
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• 2022

This study investigates the impact of ownership structures and audit quality on carbon emission disclosure. It also examines how audit quality affects the relationship between ownership structures and carbon emission disclosure. This research includes 106 standalone sustainability reports from non-financial companies that were listed on the Indonesia Stock Exchange (IDX) between 2015 and 2018. Our findings show that family and concentrated ownerships convey less information about carbon emissions. Our results fail to demonstrate that disclosure of carbon emissions could be a corporation's approach to respond to stakeholder pressure and public visibility and to provide legitimacy for its existence. We also find a positive and significant association between high-quality (Big4) auditors and carbon emission performance. Our further result suggests that Big4 auditors seem to compromise their high standard quality on auditing family and concentrated ownership firms. They fail to influence their family and concentrated ownership clients to be socially responsible. Policymakers should support the existence of Big4 auditors as a driver of carbon emission performance. Top management should be proactive to tackle carbon emission issues by adopting stakeholder-driven mechanisms and establishing legitimacy with society. Nevertheless, the involvement of family and highly concentrated shareholders in decision-making processes and information disclosure should not be encouraged.

• 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.