Sustainability in Product Models: Leveraging Adjacent Information for CO 2 Profiling in Configurations

This paper introduces the concept of Sustainability Adjacency as a framework for integrating adjacent information into CO<sub>2</sub> profiling and product configuration systems. By leveraging supplementary data, such as supplier emissions, logistics, and lifecycle assessments, the framework enables a comprehensive evaluation of a product’s sustainability impact. Current sustainability initiatives often operate in silos, neglecting broader trade-offs like transportation emissions in refurbishment or end-of-life scenarios. The proposed framework addresses these gaps by centralizing critical data, ensuring its propagation across organizational functions to prioritize low-emission configurations. Through an action research approach, the study highlights systemic barriers, including data quality issues, supplier transparency, and misaligned workflows, that hinder CO<sub>2</sub> profiling efforts. The findings emphasize the importance of dynamic data integration and cross-functional collaboration in aligning sustainability with operational and financial goals. This paper contributes to advancing sustainable product models and outlines actionable steps for organizations to embed sustainability into product lifecycle management effectively.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.5220/0013467200003929
Primary Topic
Business Process Modeling and Analysis
Type
article
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article

Sustainability in Product Models: Leveraging Adjacent Information for CO 2 Profiling in Configurations

Torben Tambo, Anders M.S.Ø. Jakobsen
Business Process Modeling and Analysis
article

Sustainability in Product Models: Leveraging Adjacent Information for CO 2 Profiling in Configurations

Torben Tambo, Anders M.S.Ø. Jakobsen
article en

Abstract

This paper introduces the concept of Sustainability Adjacency as a framework for integrating adjacent information into CO<sub>2</sub> profiling and product configuration systems. By leveraging supplementary data, such as supplier emissions, logistics, and lifecycle assessments, the framework enables a comprehensive evaluation of a product’s sustainability impact. Current sustainability initiatives often operate in silos, neglecting broader trade-offs like transportation emissions in refurbishment or end-of-life scenarios. The proposed framework addresses these gaps by centralizing critical data, ensuring its propagation across organizational functions to prioritize low-emission configurations. Through an action research approach, the study highlights systemic barriers, including data quality issues, supplier transparency, and misaligned workflows, that hinder CO<sub>2</sub> profiling efforts. The findings emphasize the importance of dynamic data integration and cross-functional collaboration in aligning sustainability with operational and financial goals. This paper contributes to advancing sustainable product models and outlines actionable steps for organizations to embed sustainability into product lifecycle management effectively.

Aarhus University (DK)
Responsible consumption and production
Openalex Percentile: Top 90%
Business Process Modeling and Analysis
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Sustainability in Product Models: Leveraging Adjacent Information for CO 2 Profiling in Configurations — Torben Tambo, Anders M.S.Ø. Jakobsen · (2025) | TGRS Research Map | TGRS