The Role of Big Data in Enhancing Corporate Financial Forecasting and Budgeting: An Empirical Framework with ESG Moderation
ビッグデータが企業の財務予測と予算編成に及ぼす役割：ESGモデレーションを伴う実証的フレームワーク (AI 翻訳)
Waqas Ahmed
🤖 gxceed AI 要約
日本語
本研究は、ビッグデータ分析（BDA）とESG開示が企業の予算編成における予測精度に与える影響を、米国・EU企業のサンプル（2015-2024年）を用いて検証。計量経済モデルと機械学習のハイブリッド手法を採用し、ESG開示の透明性が高くBDA投資が多い企業ほど予測誤差が低いことを発見。特に経済不安定期にその効果が顕著であり、ESG開示とBDAの相補的効果が確認された。
English
This study examines the impact of Big Data Analytics (BDA) and ESG disclosure on corporate budgeting forecast accuracy using a sample of US and EU firms (2015-2024) with a hybrid econometric and machine learning approach. It finds that firms with higher ESG transparency and BDA investment have significantly lower forecast errors, especially during economic instability, and confirms a complementary effect between ESG disclosure and BDA.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではSSBJ基準の導入や有報でのESG情報開示が進む中、本論文はビッグデータ活用とESG開示の相乗効果が財務予測精度向上に寄与することを示す。日本の企業にとっても、ESGデータの質向上とAI分析活用が実務上の競争力強化につながる可能性を示唆。
In the global GX context
As global frameworks like ISSB and CSDR push for enhanced ESG disclosure, this paper provides empirical evidence that integrating Big Data Analytics with ESG reporting improves financial forecasting accuracy globally. It highlights the strategic value of digitalization and sustainability reporting for corporate financial planning, relevant for firms adapting to evolving disclosure mandates.
👥 読者別の含意
🔬研究者:This paper offers a novel empirical framework combining BDA and ESG for financial forecasting, contributing to digitalization and sustainable finance literature.
🏢実務担当者:Corporate finance and sustainability teams can leverage the finding that investing in both BDA and transparent ESG reporting reduces budget forecast errors, especially in volatile periods.
🏛政策担当者:Policymakers should note the complementary effect between BDA and ESG disclosure, supporting policies that encourage both digital transformation and sustainability reporting.
📄 Abstract（原文）
This paper explores the relationship between the incorporation of Big Data Analytics (BDA) and Environmental, Social, and Governance (ESG) disclosure practices and predicting accuracy in the corporate budgeting process. Using the sample of companies in the United States and the European Union in 2015-2024, our study adopts a hybrid method of a mixed approach that is a combination of econometric models and machine learning. We have found that companies that have more ESG transparent reports and invest more in BDA have much lower forecast errors, especially in unsteady economic state. Besides, the correlation between ESG disclosure and BDA adoption implies a complimentary effect: ESG reporting increases the data richness and stakeholder trust, whereas BDA increases the predictive powers, which in combination increases the strength of budgeting activities. Such model comparison has shown that the machine learning algorithms have better predictive accuracy compared to the traditional econometric methodology, but they both affirm the positive effect of BDA and ESG. These results are the first new evidence that digital transformation and sustainable reporting are the two concepts that increase the success of financial planning through significant implications to the managers, policymakers, and investors. This study is relevant to the literature on corporate digitalization, sustainable finance, and performance management because it emphasizes the strategic importance of integrating BDA and ESG.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.54536/ajfti.v4i1.7416first seen 2026-06-26 05:38:23
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