Charting the digital route to net-zero: A framework for sustainable industry practices

IF 6.9 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Juan Carlos Monroy-Osorio
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引用次数: 0

Abstract

This study investigates the application of a comprehensive framework for implementing digital strategies towards achieving net-zero emissions in Spanish manufacturing firms. It explores the adoption of digitally enabled and digital-first strategies in 354 medium-sized companies, utilizing Internet of Things (IoT) and Artificial Intelligence (AI) technologies to augment and reinvent environmental management practices. Digitally enabled strategies are found to be prevalent, optimizing existing processes through IoT for resource conservation and predictive maintenance. A modest yet growing number of firms adopt digital-first strategies, integrating AI to create innovative pathways for energy use optimization and waste reduction. However, a subset of firms remains reliant on traditional methods, indicating significant potential for digital integration. The paper highlights the strategic importance of digital tools in enhancing operational efficiencies and developing new, inherently sustainable business models. It emphasizes the need for an integrated approach that combines the strengths of digital innovation with traditional management to drive the industry towards a sustainable and net-zero future. The framework provides a nuanced classification of digital strategies and their contribution to net-zero objectives, offering insights into the effectiveness of these practices across various industrial sectors.
绘制实现净零的数字路线:可持续工业实践框架
本研究调查了西班牙制造企业为实现净零排放而实施数字化战略的综合框架的应用情况。研究探讨了 354 家中型企业采用数字化战略和数字化优先战略的情况,利用物联网(IoT)和人工智能(AI)技术来增强和重塑环境管理实践。研究发现,数字化战略非常普遍,通过物联网优化现有流程,以节约资源和进行预测性维护。采用数字优先战略的企业数量不多,但在不断增加,这些企业整合了人工智能,为优化能源使用和减少废物创造了创新途径。然而,仍有一部分企业依赖于传统方法,这表明数字化整合具有巨大潜力。本文强调了数字工具在提高运营效率和开发新的、本质上可持续的商业模式方面的战略重要性。论文强调,需要采取一种综合方法,将数字创新与传统管理的优势结合起来,推动整个行业走向可持续发展和净零污染的未来。该框架对数字化战略及其对实现净零目标的贡献进行了细致分类,并深入分析了这些做法在不同工业领域的有效性。
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
CiteScore
8.60
自引率
0.00%
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