A Maturity Model for Evaluating Data-Driven Sustainability Management

Anna Sell; Jerker Björkqvist; Janne Hakala; Fredrik Hellman; Xiang Hu; Oskar Karlström; Anders Lindgren; Andreas Lundell; Amaia Martin-Granizo

doi:10.18690/um.fov.4.2024

A Maturity Model for Evaluating Data-Driven Sustainability Management

Anna Sell, Jerker Björkqvist, Janne Hakala, Fredrik Hellman, Xiang Hu, Oskar Karlström, Anders Lindgren, Andreas Lundell, Amaia Martin-Granizo

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

In order to stay competitive, manufacturing companies seek to enhance the accuracy, timeliness, and transparency of their sustainability efforts. This can be achieved through implementing data-driven and dynamic sustainability measurement throughout product life cycles. We introduce a maturity model for assessing and improving data-driven sustainability management, encompassing eight technical and organizational dimensions derived from both theory and practitioner insights through a design science research approach. We detail the maturity levels within each dimension, providing insights into companies' progress. For instance, in data handling and data sensors, companies move from basic implementation to real-time integration and cloud connectivity. The model also highlights challenges, such as collecting sustainability background data, formulating sustainability KPIs, and how to tailor sustainability communication. We emphasize the importance of aligning sustainability efforts with strategic business outcomes and the role of a pervasive data culture within companies. The article concludes with considerations for future research and model refinement.

Original language	English
Title of host publication	Proceedings of the 37th Bled eConference
Subtitle of host publication	Resilience through Digital Innovation: Enabling the Twin Transition
Editors	Andreja Pucihar , Mirjana Kljajić Borštnar, Staša Blatnik, Roger W. H. Bons, Koen Smit, Marikka Heikkilä
Publisher	University of Maribor, University Press
Pages	211-226
ISBN (Electronic)	978-961-286-871-0
ISBN (Print)	978-961-286-871-0, 978-961-286-871-0, 978-961-286-871-0, 978-961-286-871-0
DOIs	https://doi.org/10.18690/um.fov.4.2024
Publication status	Published - 28 May 2024
MoE publication type	A4 Article in a conference publication
Event	37th Bled eConference: Resilience Through Digital Innovation: Enabling the Twin Transition - , Slovenia Duration: 9 Jun 2024 → 12 Jun 2024 Conference number: 37th https://bledconference.org/

Conference

Conference	37th Bled eConference
Abbreviated title	Bled
Country/Territory	Slovenia
Period	09/06/24 → 12/06/24
Internet address	https://bledconference.org/

Keywords

sustainability
maturity model
data-driven communication
data-driven sustainability
Key performance indicators

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.18690/um.fov.4.2024Licence: CC BY

A+Maturity+Model+for+Evaluating+Data-Driven+Sustainability+ManagementFinal published version, 371 KBLicence: CC BY

https://urn.fi/URN:NBN:fi-fe2024061351729

Cite this

Sell, A., Björkqvist, J., Hakala, J., Hellman, F., Hu, X., Karlström, O., Lindgren, A., Lundell, A., & Martin-Granizo, A. (2024). A Maturity Model for Evaluating Data-Driven Sustainability Management. In A. Pucihar , M. K. Borštnar, S. Blatnik, R. W. H. Bons, K. Smit, & M. Heikkilä (Eds.), Proceedings of the 37th Bled eConference: Resilience through Digital Innovation: Enabling the Twin Transition (pp. 211-226). University of Maribor, University Press. https://doi.org/10.18690/um.fov.4.2024

Sell, Anna ; Björkqvist, Jerker ; Hakala, Janne et al. / A Maturity Model for Evaluating Data-Driven Sustainability Management. Proceedings of the 37th Bled eConference: Resilience through Digital Innovation: Enabling the Twin Transition . editor / Andreja Pucihar ; Mirjana Kljajić Borštnar ; Staša Blatnik ; Roger W. H. Bons ; Koen Smit ; Marikka Heikkilä. University of Maribor, University Press, 2024. pp. 211-226

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title = "A Maturity Model for Evaluating Data-Driven Sustainability Management",

abstract = "In order to stay competitive, manufacturing companies seek to enhance the accuracy, timeliness, and transparency of their sustainability efforts. This can be achieved through implementing data-driven and dynamic sustainability measurement throughout product life cycles. We introduce a maturity model for assessing and improving data-driven sustainability management, encompassing eight technical and organizational dimensions derived from both theory and practitioner insights through a design science research approach. We detail the maturity levels within each dimension, providing insights into companies' progress. For instance, in data handling and data sensors, companies move from basic implementation to real-time integration and cloud connectivity. The model also highlights challenges, such as collecting sustainability background data, formulating sustainability KPIs, and how to tailor sustainability communication. We emphasize the importance of aligning sustainability efforts with strategic business outcomes and the role of a pervasive data culture within companies. The article concludes with considerations for future research and model refinement.",

keywords = "sustainability, maturity model, data-driven communication, data-driven sustainability, Key performance indicators",

author = "Anna Sell and Jerker Bj{\"o}rkqvist and Janne Hakala and Fredrik Hellman and Xiang Hu and Oskar Karlstr{\"o}m and Anders Lindgren and Andreas Lundell and Amaia Martin-Granizo",

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booktitle = "Proceedings of the 37th Bled eConference",

publisher = "University of Maribor, University Press",

note = "37th Bled eConference : Resilience Through Digital Innovation: Enabling the Twin Transition, Bled ; Conference date: 09-06-2024 Through 12-06-2024",

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Sell, A , Björkqvist, J , Hakala, J , Hellman, F, Hu, X, Karlström, O, Lindgren, A, Lundell, A & Martin-Granizo, A 2024, A Maturity Model for Evaluating Data-Driven Sustainability Management. in A Pucihar , MK Borštnar, S Blatnik, RWH Bons, K Smit & M Heikkilä (eds), Proceedings of the 37th Bled eConference: Resilience through Digital Innovation: Enabling the Twin Transition . University of Maribor, University Press, pp. 211-226, 37th Bled eConference, Slovenia, 09/06/24. https://doi.org/10.18690/um.fov.4.2024

A Maturity Model for Evaluating Data-Driven Sustainability Management. / Sell, Anna ; Björkqvist, Jerker ; Hakala, Janne et al.
Proceedings of the 37th Bled eConference: Resilience through Digital Innovation: Enabling the Twin Transition . ed. / Andreja Pucihar ; Mirjana Kljajić Borštnar; Staša Blatnik; Roger W. H. Bons; Koen Smit; Marikka Heikkilä. University of Maribor, University Press, 2024. p. 211-226.

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A Maturity Model for Evaluating Data-Driven Sustainability Management

AU - Sell, Anna

AU - Björkqvist, Jerker

AU - Hakala, Janne

AU - Hellman, Fredrik

AU - Hu, Xiang

AU - Karlström, Oskar

AU - Lindgren, Anders

AU - Lundell, Andreas

AU - Martin-Granizo, Amaia

N1 - Conference code: 37th

PY - 2024/5/28

Y1 - 2024/5/28

N2 - In order to stay competitive, manufacturing companies seek to enhance the accuracy, timeliness, and transparency of their sustainability efforts. This can be achieved through implementing data-driven and dynamic sustainability measurement throughout product life cycles. We introduce a maturity model for assessing and improving data-driven sustainability management, encompassing eight technical and organizational dimensions derived from both theory and practitioner insights through a design science research approach. We detail the maturity levels within each dimension, providing insights into companies' progress. For instance, in data handling and data sensors, companies move from basic implementation to real-time integration and cloud connectivity. The model also highlights challenges, such as collecting sustainability background data, formulating sustainability KPIs, and how to tailor sustainability communication. We emphasize the importance of aligning sustainability efforts with strategic business outcomes and the role of a pervasive data culture within companies. The article concludes with considerations for future research and model refinement.

AB - In order to stay competitive, manufacturing companies seek to enhance the accuracy, timeliness, and transparency of their sustainability efforts. This can be achieved through implementing data-driven and dynamic sustainability measurement throughout product life cycles. We introduce a maturity model for assessing and improving data-driven sustainability management, encompassing eight technical and organizational dimensions derived from both theory and practitioner insights through a design science research approach. We detail the maturity levels within each dimension, providing insights into companies' progress. For instance, in data handling and data sensors, companies move from basic implementation to real-time integration and cloud connectivity. The model also highlights challenges, such as collecting sustainability background data, formulating sustainability KPIs, and how to tailor sustainability communication. We emphasize the importance of aligning sustainability efforts with strategic business outcomes and the role of a pervasive data culture within companies. The article concludes with considerations for future research and model refinement.

KW - sustainability

KW - maturity model

KW - data-driven communication

KW - data-driven sustainability

KW - Key performance indicators

U2 - 10.18690/um.fov.4.2024

DO - 10.18690/um.fov.4.2024

M3 - Conference contribution

SN - 978-961-286-871-0

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EP - 226

BT - Proceedings of the 37th Bled eConference

A2 - Pucihar , Andreja

A2 - Borštnar, Mirjana Kljajić

A2 - Blatnik, Staša

A2 - Bons, Roger W. H.

A2 - Smit, Koen

A2 - Heikkilä, Marikka

PB - University of Maribor, University Press

T2 - 37th Bled eConference

Y2 - 9 June 2024 through 12 June 2024

ER -

Sell A , Björkqvist J , Hakala J , Hellman F, Hu X, Karlström O et al. A Maturity Model for Evaluating Data-Driven Sustainability Management. In Pucihar A, Borštnar MK, Blatnik S, Bons RWH, Smit K, Heikkilä M, editors, Proceedings of the 37th Bled eConference: Resilience through Digital Innovation: Enabling the Twin Transition . University of Maribor, University Press. 2024. p. 211-226 doi: 10.18690/um.fov.4.2024

A Maturity Model for Evaluating Data-Driven Sustainability Management

Abstract

Conference

Keywords

UN SDGs

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