The aim of this paper is to provide a more useful business models assessment method than the traditional intuitive one. The paper also compares both methods, in order to display what does the intuitive assessment method really assess. Design/methodology/approach.-An experimental approach allows us to generate a set of business models, in order to assess them and to compare the assessments in a quantitative manner. Findings.-Our work proposes a scale for ex-ante business models assessment consisting on eight indicators. This provides an ex-ante assessment that takes into consideration a wider range of factors than the traditional intuitive assessment. The comparison between both methods shows which factors are intuitively taken into account and which are not. Research limitations/implications.-Our research contributes to expand the business model creation framework. Practical implications.-A more accurate assessment will show the most promising business models, that will result in higher chances of success of new business ventures. Social implications.-As companies and entrepreneurs hardly have the possibility to implement more than one business model, to choose the best option becomes essential. This election could mark the threshold between success and failure, between wealth creation and destruction. Originality/Value.-Little research has been conducted in a field that might be really fruitful, the field of business model ex-ante assessment. Our work faces the challenge using an experimental methodology that allows to broaden the range of situations to study.
Science parks have become useful instruments in transferring knowledge from universities to the industry. On the other hand, some studies have affirmed that technology transfer activities and results can be encouraged by geographical proximity between companies and university premises and people. If this is true, it would be useful to set up science park satellite sites near selected geographical areas. A few science parks have actually done this. However, research in this field is scarce and anecdotic.We qualitatively explored this field, using the case of the University of Valencia's Science Park. Our work provides and tests a methodology to help with the decision to set up a science park satellite site, consisting of three questions: why, what and how. Our work also highlights some key issues related to the viability of this kind of decision, and opens up interesting avenues for future research in the field of university-industry collaboration.
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