Research output per year
Research output per year
Project Details
Description
The project Data-driven Sustainability Management aims to revolutionize sustainability management based on developing and implementing data-driven models of the company’s impact on sustainability.
The project helps participant companies to efficiently reach the goal of quantifying their sustainability in their communication and internal analysis, and to explore and test managerial practices to use tools based on the DDSM model. In order to fully understand the requirements and specifications of the DDSM model, insights on managerial practices of its’ application are needed.
The project helps participant companies to efficiently reach the goal of quantifying their sustainability in their communication and internal analysis, and to explore and test managerial practices to use tools based on the DDSM model. In order to fully understand the requirements and specifications of the DDSM model, insights on managerial practices of its’ application are needed.
| Short title | DDSM |
|---|---|
| Acronym | DDSM |
| Status | Active |
| Effective start/end date | 01/05/23 → 30/04/25 |
Collaborative partners
- Åbo Akademi University (lead)
- University of Turku
- Mirka Oy
- Baltic Yachts
- Saalasti
- Herrmans
Funding
- Business Finland
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Research output
- 1 Conference contribution
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AI FOR ENGINEERS, A USEFUL BUT DANGEROUS TOOL
Björkqvist, J., 2024, CDIO Conference proceedings.Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review