Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/318922 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Business Models (JOBM) [ISSN:] 2246-2465 [Volume:] 7 [Issue:] 5 [Year:] 2019 [Pages:] 25-47
Publisher: 
Aalborg University Open Publishing, Aalborg
Abstract: 
Purpose: The purpose of this paper is to choose the best method for ex ante business model evaluation, improve it and provide a framework to put it into practice. Design/Methodology/Approach: After an in-depth review, we chose the best method for ex ante business model evaluation, improved this method, and applied it to a real case study in which business models had been proposed for a Sustainable Smart District project. Findings: We analysed existing ex ante business model evaluation methods, justifying our choice of the best one. We improved this key question-based method by combining classic management tools and a new, promising procedure. We finally found a strong tool to improve business models before their implementation or, in other words, to improve business model design. Practical implications: The resulting methodology can be applied in a broad range of situations in which a set of business models needs to be evaluated and ordered before making decisions about their implementation. Accordingly, we think it represents a significant contribution to the field of business model evaluation. Social implications: We applied this methodology to a set of business models to be used in a new Sustainable Smart District. This term has gained momentum over the last few years because it is understood to be a good way to combat climate change. Originality/value: We refined and improved an existing methodology for ex ante business model evaluation making it more accurate and credible, and we applied it in the context of a relevant social field, such as the fight against climate change.
Subjects: 
Business model innovation
Business model assessment
Business model evaluation
Smart city
Smart Sustainable District
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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