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Data Analytics in ESG-Oriented Strategic Consulting: Drivers, Challenges and Optimization Pathways—A Case Study of Haier

ESG志向の戦略コンサルティングにおけるデータ分析：推進要因、課題、最適化の道筋—ハイアーのケーススタディ (AI 翻訳)

Qian Cheng

Finance & Economics📚 査読済 / ジャーナル2026-02-28#ESGOrigin: CN
DOI: 10.61173/xntbz517
原典: https://doi.org/10.61173/xntbz517

🤖 gxceed AI 要約

日本語

本研究は、中国の製造大手ハイアーを事例に、データ分析がESGパフォーマンスの実装と管理にどのように貢献するかを調査。規制圧力、市場需要、デジタル変革がESG進展を促進する一方、社内データ共有の不足やサプライチェーンの持続可能性ギャップなどの課題を特定。統一されたESGデータガバナンスや国際報告基準との整合性向上を提案している。

English

This study examines the role of data analytics in supporting ESG transformation at Haier, a Chinese manufacturing giant. It identifies drivers (regulatory pressure, market demand, digital transformation) and challenges (insufficient data sharing, supply chain gaps, data fragmentation). Recommendations include unified ESG data governance, organizational restructuring, and alignment with international reporting standards.

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

日本企業にとって、中国企業のESG事例から学ぶ点は多い。特に、国際基準との整合性やサプライチェーン管理の課題は、日本企業にも共通するものがある。

In the global GX context

This paper contributes to the global ESG literature by providing a detailed case study of a major Chinese manufacturer, highlighting challenges in data integration and supply chain sustainability. It offers practical recommendations for firms integrating data analytics into ESG strategies.

👥 読者別の含意

🔬研究者:Provides a case-based analysis of ESG data analytics in a manufacturing context, identifying drivers and barriers that can inform future research.

🏢実務担当者:Offers actionable recommendations for improving ESG data governance and supply chain monitoring.

🏛政策担当者:Highlights the need for regulatory frameworks that encourage data sharing and standardization in ESG reporting.

📄 Abstract（原文）

Today’s firms must recognize that data analytics are vital to the future of many strategic consulting practices. For global manufacturing giant Haier, advances in ESG practices and performance are crucial amid tightening international requirements, China’s dual carbon goals and organizational optimization needs. In examining the role of data analytics in supporting the ESG transformation and operational optimisation at Haier, the current study will examine the link between digital capabilities and the implementation and management of the ESG performance. The data analysis and ESG performance data provided by the company will be the two primary sources of data, and the case study method will be employed to assess the links between the digital capacity of Haier and the implementation and management of the ESG performance of the company. The findings show that regulatory pressure, market demand and corporate digital transformation drive ESG progress, yet key challenges persist, such as insufficient intraorganisational data-sharing, supply chain sustainability gaps and data fragmentation. Recommendations to enhance Haier’s ESG performance include unified ESG data governance, organisational restructuring, strengthened supplier monitoring and better alignment with international reporting standards. These findings will provide guidance for organisations integrating data analytics into their ESGdriven strategic transformation initiatives.

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