Designing Survival Strategies for Propulsion Innovations

TL;DR

This paper explores how to develop effective strategies for adopting innovative propulsion technologies in the automobile industry by combining empirical observations with mathematical models of innovation dynamics.

Contribution

It introduces a holistic approach that integrates empirical case studies with hyperselection models to identify escape strategies from conventional propulsion technology lock-in.

Findings

Hyperselection models provide new insights into innovation lock-in.

Empirical case studies of buses demonstrate pioneering in alternative propulsion.

A holistic modeling approach enhances understanding of socioeconomic innovation dynamics.

Abstract

Mobility is valued greatly in the highly industrialized societies. The need for radical change in propulsion technologies is obvious to all actors, irrespective of whether they originate from industry, politics or the general public. This paper analyses the tension between innovation pressure and pull of convention in the automobile industries. This tension is currently giving rise to a situation of stalemate in relation to alternative propulsion and fuel technologies. We map the situation by means of a taxonomy of current and future incremental and radical innovations. Based on in-depth field observation of engineering and manufacturing in Germany, we present an innovation landscape in the form of a two-dimensional matrix composed of propulsion innovations and fuel innovations. We use mathematical models of hyperselection to develop a rationale for escape strategies from the current lock-in into conventional combustion-engine technology. Based on the heuristic guidance of these models, we discuss several empirical cases in which buses act as pioneers in markets for alternative propulsion vehicles. Neither the model nor the basic empirical material used in this paper are new. Instead, we show that using mathematical models as a kind of substratum on which empirical observations and theoretical arguments can be ordered leads to new and partly unexpected insights into the nature of socioeconomic innovations. We apply this approach to the case of new driving technologies and argue that there is a 'third epistemic function' of models in the continuum between data driven, exactly validated models at the one extreme and a metaphoric use of models in thought experiments at the other. This is what we call a holistic description.