A business model canvas framework for sustainable one-stop-shops. Issue 1 (1st September 2022)

• Record Type: Journal Article
• Authors: Pardalis, Georgios; Mahapatra, Krushna; Mainali, Brijesh
• Is Part Of: IOP conference series. Volume 1085:Issue 1(2022)
• Publication Date: 2022-09-01
• Subjects: sustainable business model canvas -- one-stop-shop -- lifecycle assessments -- sustainable buildings -- circular economy; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/1085/1/012048
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The Sustainable Business Model Canvas (SBMC) offers a useful tool for business model design, as it manages to integrate all the three dimensions of sustainability without distinguishing between three different layers (economic, environmental, and social). This paper presents the application of SBMC in a real study case of a one-stop-shop (OSS) for the renovation of single-family houses operating in Kronoberg province in Sweden. The case is based on shifting from the current approach of the OSS, making interventions that will lead to the development of a "new" OSS which can reach the highest possible sustainability potential. A two-stage comprehensive assessment process for the "new" model is proposed, following a life cycle perspective. The use of SBMC and the assessment process allows both existing and under-development OSSs to gain a better understanding of different alternatives regarding their business, and how these alternatives improve or weaken their existing business model. This work also proposes the steps that should be followed to assess the impact of potential intervention in the business model on the sustainability performance of an OSS. There is a need though to acquire relevant data to make a more detailed evaluation of the economic, environmental, and social burdens and benefits of an OSS. Such an evaluation will lead to more well-informed interpretations regarding the sustainability performance of different OSSs.