Are you interested in the environmental sustainability of business, decoupling, circular economy, and methods for environmental systems analysis? Then, this 3-year postdoc position could be for you.
Business Model LCA (BM-LCA) is a new type of life cycle assessment methodology especially tailored for the environmental assessment of business models (cf., Baumann et al., 2022; Böckin et al., 2022; Goffetti et al., 2022). Its relevance comes to the fore in relation to circular economy efforts, which has sparked much interest in sustainable business models (rental, sharing, subscription, sufficiency models, etc). With BM-LCA it becomes possible to analyse, and/or validate the environmental performance of these business models. Also, BMLCA enables analysis for decoupling in a business context and can support sustainable business model innovation. From this follows two lines of research: the sustainability of business models and the methodological development of BM-LCA.
As a postdoc, you will play a crucial role in developing the research field around BM-LCA and the analysis of the sustainability of business models at Environmental systems analysis at Chalmers. The research is conducted within the project TwinWins, funded by the Kamprad Family Foundation. In the project, we collaborate with companies in Sweden to analyse their sustainable business models and support their sustainable business model innovation. Furthermore, the project aims to systematise learnings from the application of BM-LCA and the results from the case studies. Wider dissemination to industry, other relevant stakeholders and within academia is also an important project goal to spread knowledge and skills for the environmental assessment of business models. For this, the project has partnered with the Swedish life cycle center. The project is a multidisciplinary collaboration between Luleå University of Technology and Chalmers University of Technology. The postdoc position is placed at Chalmers University of Technology.
Sustainable Business Model.org 