{"title":"Assessing Lean Startup for sustainable business models: Application of the SAFE framework","authors":"Alberto Peralta , Andreas Pyka","doi":"10.1016/j.eist.2025.101029","DOIUrl":null,"url":null,"abstract":"<div><div>This paper evaluates the Lean Startup (LS) methodology as a business modelling practice for sustainable innovation, focusing on its ability to support business models that integrate economic, social, and environmental value. To guide this assessment, we introduce the Sustainable innovation practices Assessment FramEwork (SAFE), a conceptual, multi-layered structure composed of a meta-model, a framework, and a two-step diagnostic tool. SAFE enables a structured evaluation of how LS applies sustainability logic throughout the business modelling process. The analysis shows that LS can facilitate business models that are adaptive and responsive to sustainability-related challenges and stakeholder needs. However, it also reveals tensions between LS’s emphasis on rapid market validation and the long-term, systemic orientation required for sustainable innovation. By highlighting strengths and limitations, SAFE identifies opportunities to adapt LS for better alignment with sustainability imperatives, offering a basis for future research and application across other innovation practices, such as the triple layered business model canvas or TBL accounting.</div></div>","PeriodicalId":54294,"journal":{"name":"Environmental Innovation and Societal Transitions","volume":"57 ","pages":"Article 101029"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Innovation and Societal Transitions","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210422425000681","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This paper evaluates the Lean Startup (LS) methodology as a business modelling practice for sustainable innovation, focusing on its ability to support business models that integrate economic, social, and environmental value. To guide this assessment, we introduce the Sustainable innovation practices Assessment FramEwork (SAFE), a conceptual, multi-layered structure composed of a meta-model, a framework, and a two-step diagnostic tool. SAFE enables a structured evaluation of how LS applies sustainability logic throughout the business modelling process. The analysis shows that LS can facilitate business models that are adaptive and responsive to sustainability-related challenges and stakeholder needs. However, it also reveals tensions between LS’s emphasis on rapid market validation and the long-term, systemic orientation required for sustainable innovation. By highlighting strengths and limitations, SAFE identifies opportunities to adapt LS for better alignment with sustainability imperatives, offering a basis for future research and application across other innovation practices, such as the triple layered business model canvas or TBL accounting.
期刊介绍:
Environmental Innovation and Societal Transitions serves as a platform for reporting studies on innovations and socio-economic transitions aimed at fostering an environmentally sustainable economy, thereby addressing structural resource scarcity and environmental challenges, particularly those associated with fossil energy use and climate change. The journal focuses on various forms of innovation, including technological, organizational, economic, institutional, and political, as well as economy-wide and sectoral changes in areas such as energy, transport, agriculture, and water management. It endeavors to tackle complex questions concerning social, economic, behavioral-psychological, and political barriers and opportunities, along with their intricate interactions. With a multidisciplinary approach and methodological openness, the journal welcomes contributions from a wide array of disciplines within the social, environmental, and innovation sciences.