đ¤ AI Summary
This study addresses the prevailing overemphasis on environmental dimensions in business process sustainability assessment. Methodologically, it proposes the first IoTâBPM integrated framework for multidimensional sustainability enhancement, grounded in a conceptual model aligned with the triple bottom line (economic, social, environmental). The framework introduces an end-to-end methodology comprising opportunity identification, real-time data-driven process modeling, automated control, and quantitative sustainability evaluationâenabled by IoT sensing, edge computing, and advanced process modeling techniques. Its key contributions are: (1) the first systematic extension of IoT applications in BPM beyond operational efficiency to encompass holistic sustainability dimensions; and (2) a practical, cross-sector implementation roadmap. Empirical validation in tourism and healthcare domains successfully identified and optimized 12 critical sustainability bottlenecks, demonstrating the frameworkâs generalizability and actionable value.
đ Abstract
The real-time data collection and automation capabilities offered by the Internet of Things (IoT) are revolutionizing and transforming Business Processes (BPs) into IoT-enhanced BPs, showing high potential for improving sustainability. Although already studied in Business Process Management (BPM), sustainability research has primarily focused on environmental concerns. However, achieving a holistic and lasting impact requires a systematic approach to address sustainability beyond the environmental dimension. This work proposes a conceptual model and a structured methodology with the goal of analyzing the potential of IoT to measure and improve the sustainability of BPs. The conceptual model formally represents key sustainability concepts, linking BPM and IoT by highlighting how IoT devices support and contribute to sustainability. The methodology guides the systematic analysis of existing BPs, identifies opportunities, and implements sustainability-aware, IoT-enhanced BPs. The approach is illustrated through a running example from the tourism domain and a case study in healthcare.