Antecedents of Business Model Innovation (BMI) may be many, different in nature, placed at several levels, and they can be internal or external to the firm. The current debate has barely connected such antecedents to the type of innovation of the Business Model (BM), if modular or architectural. To fill this gap, our study draws on multiple exploratory case studies of three innovative firms operating in the Space Industry that over time developed various BMs capable of creating value by exploiting Artificial Intelligence (AI) for Earth Observation (EO). The Copernicus Programme has in fact opened a vast amount of Earth Observation daily data to the world, giving firms the opportunity to compete in new ways and allowing the development of an ever-increasing number of downstream products and services. As a result, AI and Big Data from Space have changed considerably the Space Industry and firms are now in need to reconsider their BMs configurations. On the premises that AI in the Space Industry joins the incomplete conversation about the antecedents of BMIs, our study builds on complexity theory and innovation theory as interpretative theoretical lenses, with the aim of developing a research agenda directed towards the development of a theoretical framework for BMI by mean of explorative multiple case study from firms mainly operating in the Space Industry. Our findings, show the relevance of external antecedents to the BMI. These findings are then organized around a set of propositions, which enforce the up to now scant literature about antecedents and BMI.
AI in the Space Industry. Business Model Innovation and its antecedents
Latronico L.;Pellegrini L.
2019-01-01
Abstract
Antecedents of Business Model Innovation (BMI) may be many, different in nature, placed at several levels, and they can be internal or external to the firm. The current debate has barely connected such antecedents to the type of innovation of the Business Model (BM), if modular or architectural. To fill this gap, our study draws on multiple exploratory case studies of three innovative firms operating in the Space Industry that over time developed various BMs capable of creating value by exploiting Artificial Intelligence (AI) for Earth Observation (EO). The Copernicus Programme has in fact opened a vast amount of Earth Observation daily data to the world, giving firms the opportunity to compete in new ways and allowing the development of an ever-increasing number of downstream products and services. As a result, AI and Big Data from Space have changed considerably the Space Industry and firms are now in need to reconsider their BMs configurations. On the premises that AI in the Space Industry joins the incomplete conversation about the antecedents of BMIs, our study builds on complexity theory and innovation theory as interpretative theoretical lenses, with the aim of developing a research agenda directed towards the development of a theoretical framework for BMI by mean of explorative multiple case study from firms mainly operating in the Space Industry. Our findings, show the relevance of external antecedents to the BMI. These findings are then organized around a set of propositions, which enforce the up to now scant literature about antecedents and BMI.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
