Ex-Ante Prediction of Disruptive Innovation: The Case of Battery Technologies

Julian Marius Müller and Raphael Kunderer
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Julian Marius Müller: Business Management, Salzburg University of Applied Sciences, Puch, 5412 Salzburg, Austria
Raphael Kunderer: School of Business, Economics and Society, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany

Sustainability, 2019, vol. 11, issue 19, 1-19

Abstract: Battery technologies represent a highly relevant field that is undergoing conversions in the context of, for instance, battery electric vehicles or stationary power storage for renewable energies. Currently, lithium-ion batteries represent the predominant technology that has, however, a considerable environmental impact that could hinder the emergence of sustainable energy systems. Driven by these conversions, several authors claim that potentially disruptive technologies could occur. The concept of disruptive innovation has been highly regarded in research and practice, but has only been successfully regarded from an ex-post perspective. However, without the possibility to establish ex-ante predictions of disruptive innovation, several authors disregard the concept of having significant relevance for practice. In response to this research gap, the present paper attempts to establish an ex-ante prediction of potential disruptive innovation. The method is based on the disruption hazard model by Sood and Tellis, testing seven hypotheses regarding a potential disruption hazard of redox-flow batteries towards lithium-ion batteries. The paper finds that redox-flow batteries could represent a disruptive technology, but this evaluation is limited to an expert evaluation. The authors discuss this finding, as the technical characteristics of redox-flow batteries support its role as a potential disruptive innovation, concluding with implications, limitations as well as suggestions for future research.

Keywords: disruptive innovation; ex-ante prediction; battery technologies; energy storage systems; disruption hazard model; redox-flow batteries; lithium-ion batteries (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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