Sustainability Performance Through a Business Process Mining Based Conceptual Framework Integrating GRI Metrics
Küçük Resim Yok
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the global pursuit of sustainable business practices, organizations face the challenge of effectively measuring and enhancing their sustainability performance. Process mining has emerged as a pivotal tool in this endeavour, offering data-driven insights that enable the analysis and visualization of operational processes. This approach uncovers inefficiencies, bottlenecks, and deviations from intended workflows, facilitating the identification of key sustainability metrics such as resource utilization, energy consumption, and waste generation. However, despite the increasing pressure to adopt sustainable practices, many sectors lack comprehensive methods to assess and optimize sustainability across complex operational processes. This study addresses this gap by proposing a novel conceptual framework that leverages business process mining techniques to measure and improve sustainability performance, specifically incorporating Global Reporting Initiative (GRI) metrics. Our framework integrates process mining with GRI sustainability indicators to identify inefficiencies, bottlenecks, and improvement opportunities throughout the value chain. We present a detailed model that maps GRI metrics to specific process steps, enabling a standardized yet flexible approach to sustainability performance measurement. The proposed framework demonstrates the potential of process mining as a powerful tool for driving sustainable practices, offering a new approach to tackling pressing environmental challenges while aligning with globally recognized reporting standards. This framework provides a continuous monitoring and improvement methodology for organizations to improve their sustainability performance, identify improvement opportunities, and provide transparent reporting. It bridges the gap between high-level sustainability reporting and operational processes, promoting a culture of continuous improvement across diverse industries and operational environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Açıklama
2nd International Conference on Artificial Intelligence: Towards Sustainable Intelligence, AI4S 2024 -- 3 October 2024 through 4 October 2024 -- Alcala de Henares -- 326669
Anahtar Kelimeler
GRI metrics, Process mining, Sustainability
