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        검색결과 2

        1.
        2020.12 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        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.
        2.
        2020.12 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        The purpose of this study is to analyze integrated reporting disclosure and its implications on investor reactions. The population in this study is all manufacturing companies listed on the Indonesia stock exchange from 2017 to 2019, totaling 171 companies, and the sampling technique used is purposive sampling method. The method used in this research is a quantitative description using the financial statements of manufacturing companies listed on the Indonesia stock exchange. The data analysis method used is multiple regression analysis with intervening variables using AMOS 24 software. The results of this study show a positive and significant effect of profitability (X1) and company size (X2) on integrated reporting (IR); a positive and insignificant effect of stakeholder pressure (X3) on integrated reporting (IR); a positive and significant effect of profitability (X1) and stakeholder pressure (X3) on investor reactions (Y); a positive and insignificant effect of firm size (X2) and integrated reporting (IR) on investor reactions (Y). Suggestions are that in further studies, we can increase the sample size by including other industries, and in addition to using annual reporting, we can also use other sources such as websites, press releases, and prospectuses to improve the robustness of this study by relying on other data sources.