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The Effect of Management Change, Audit Fee, and Company Size on Auditor Switching (Empirical Study on Infrastructure, Utilities and Transportation Companies Listed on the Indonesia Stock Exchange for the 2020-2023 Period)

経営陣交代、監査報酬、企業規模が監査人交代に与える影響(2020-2023年インドネシア証券取引所上場のインフラ・公益・運輸企業の実証研究) (AI 翻訳)

Mutikartini Putri, Beti Nurbaiti, Endah Prawesti Ningrum, Tutty Nuryati, Tri Yulaeli

JUSTBEST Journal of Sustainable Business and Managementプレプリント2025-10-31#ESG
DOI: 10.52432/justbest.5.2.86-94
原典: https://doi.org/10.52432/justbest.5.2.86-94

🤖 gxceed AI 要約

日本語

本論文はインドネシアにおけるESGとサステナビリティ報告の影響を文献アプローチで分析。サステナビリティ報告が企業価値に有意な影響を与えることを示し、開示範囲の重要性を指摘。ただしタイトルと内容が一致していない。

English

This article uses a literature approach to analyze ESG and sustainability reporting in Indonesia. It finds that sustainability reporting significantly influences company value and highlights the importance of disclosure scope. Note: The title does not match the abstract content.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

👥 読者別の含意

🔬研究者:Illustrates a mismatch between title and abstract; researchers should verify paper focus.

📄 Abstract(原文)

ESG (Evironmental, Social, and Governace) is a concept that must be considered by companies in order to be able to survive and achieve sustainability. This issue has become the center of attention among companies and business people in Indonesia. The challenges and opportunities that can be faced are understanding sustainability by implementing sustainable reporting and developing significantly. This research uses a literature approach which aims to understand more deeply about sustainability issues. The results show that sustainability reporting has a significant influence on the Company's value, even though the Company experiences various impacts according to the segmentation undertaken. Factors such as the scope of disclosure are important in meeting the challenges and opportunities in sustainability issues.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。