Unveiling a Data‐Driven Circular Business Strategy Framework in a Digital Supply Chain: A Strategic Roadmapping for the Semiconductor Industry

IF 13.3 1区管理学 Q1 BUSINESS

Business Strategy and The Environment Pub Date : 2025-09-11 DOI:10.1002/bse.70187

Taufik Kurrahman, Feng Ming Tsai, Ming K. Lim, Kanchana Sethanan, Ming‐Lang Tseng

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Abstract

Unveiling a data‐driven circular business strategy (CBS) framework in a digital supply chain is needed to develop a data‐driven analysis owing to the necessity of reconstructing the attributes involved and concentrating on matching the operational and environmental technology together. The semiconductor industry encounters the challenge of integrating top management commitment and collaboration with digital manufacturing and production, which aligns with waste and resource management as well as operations efficiency. To achieve this challenge, this study utilizes a hybrid method using content, bibliographic, and cluster analyses, the entropy weighted method (EWM) and the fuzzy Delphi method (FDM), to validate the data‐driven CBS in a digital supply chain. Furthermore, the fuzzy synthetic evaluation–decision‐making trial and evaluation laboratory (FSE‐DEMATEL) developed strategic data‐driven circular business roadmapping. Hence, this study constructed a hierarchical structure and identified valid prioritized main attributes to support CBS in a digital supply chain. The findings indicate that digital integration capability, green innovation, waste repurposing, decision support systems, and machine learning applications can be used to enhance CBS in digital supply chains and contribute to data‐driven practical guidance by using strategic roadmapping for the industry.

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在数字供应链中揭示数据驱动的循环业务战略框架：半导体行业的战略路线图

需要在数字供应链中揭示数据驱动的循环商业战略（CBS）框架，以开发数据驱动的分析，因为需要重建所涉及的属性，并专注于将运营和环境技术相匹配。半导体行业面临着将最高管理层的承诺和协作与数字化制造和生产相结合的挑战，这与废物和资源管理以及运营效率相一致。为了实现这一挑战，本研究利用内容、书目和聚类分析、熵权法（EWM）和模糊德尔菲法（FDM）的混合方法来验证数字供应链中数据驱动的CBS。此外，模糊综合评价-决策试验和评估实验室（FSE - DEMATEL）开发了战略数据驱动的循环业务路线图。因此，本研究构建了一个层次结构，并确定了有效的优先级主属性，以支持数字供应链中的CBS。研究结果表明，数字集成能力、绿色创新、废物再利用、决策支持系统和机器学习应用可用于增强数字供应链中的CBS，并通过使用行业战略路线图为数据驱动的实践指导做出贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Business Strategy and The Environment Multiple-

CiteScore

22.50

自引率

19.40%

发文量

336

期刊介绍： Business Strategy and the Environment (BSE) is a leading academic journal focused on business strategies for improving the natural environment. It publishes peer-reviewed research on various topics such as systems and standards, environmental performance, disclosure, eco-innovation, corporate environmental management tools, organizations and management, supply chains, circular economy, governance, green finance, industry sectors, and responses to climate change and other contemporary environmental issues. The journal aims to provide original contributions that enhance the understanding of sustainability in business. Its target audience includes academics, practitioners, business managers, and consultants. However, BSE does not accept papers on corporate social responsibility (CSR), as this topic is covered by its sibling journal Corporate Social Responsibility and Environmental Management. The journal is indexed in several databases and collections such as ABI/INFORM Collection, Agricultural & Environmental Science Database, BIOBASE, Emerald Management Reviews, GeoArchive, Environment Index, GEOBASE, INSPEC, Technology Collection, and Web of Science.