Understanding mass-market electric vehicle adoption: Integrating diffusion of innovation theory with risk mitigation strategy in Germany

The adoption of electric vehicles into the so-called mass market across European countries reveals significant disparities, with Germany lagging behind peers such as Sweden and the Netherlands. This research investigates the challenges of transitioning new technology, exemplified by electric vehicles, to be adopted by the early and late majority through the lens of Rogers' Diffusion of Innovation theory. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), this study reveals that performance expectancy, effort expectancy and risk mitigation significantly influence the behavioral intention to adopt electric vehicles among the early and late majority. This study incorporates novel risk mitigation strategies combined in the non-ownership business model carsharing for electric vehicles, to address perceived financial and functional risks associated with the adoption of electric vehicles, relevant for the targeted adoption group. The data was collected from 519 representatives of the early and late majority sample in Germany. This research contributes to the theoretical understanding of perceived risks and suitable risk mitigation strategies in technology adoption and offers insights into new distinct characteristics of the early and late majority adoption group, relevant to improve the accuracy of forecasting models aimed at predicting technology diffusion. • Understand early vs. late majority traits in electric vehicle adoption • Assess risks and test mitigation strategies for early and late majority adopters • Combine UTAUT and DOI to build stronger latent variables and improve model fit • Refine adopter profiles to enhance forecasting accuracy

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Publication Details

Journal
Technological Forecasting and Social Change
Published
2025-08-29
DOI
https://doi.org/10.1016/j.techfore.2025.124329
Citations
5
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
3.65
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article

Understanding mass-market electric vehicle adoption: Integrating diffusion of innovation theory with risk mitigation strategy in Germany

Ellen Enkel, Sander Wintgens
5 citations
Technological Forecasting and Social Change
Electric Vehicles and Infrastructure
3.65
article

Understanding mass-market electric vehicle adoption: Integrating diffusion of innovation theory with risk mitigation strategy in Germany

Ellen Enkel, Sander Wintgens
article en
5 citations

Abstract

The adoption of electric vehicles into the so-called mass market across European countries reveals significant disparities, with Germany lagging behind peers such as Sweden and the Netherlands. This research investigates the challenges of transitioning new technology, exemplified by electric vehicles, to be adopted by the early and late majority through the lens of Rogers' Diffusion of Innovation theory. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), this study reveals that performance expectancy, effort expectancy and risk mitigation significantly influence the behavioral intention to adopt electric vehicles among the early and late majority. This study incorporates novel risk mitigation strategies combined in the non-ownership business model carsharing for electric vehicles, to address perceived financial and functional risks associated with the adoption of electric vehicles, relevant for the targeted adoption group. The data was collected from 519 representatives of the early and late majority sample in Germany. This research contributes to the theoretical understanding of perceived risks and suitable risk mitigation strategies in technology adoption and offers insights into new distinct characteristics of the early and late majority adoption group, relevant to improve the accuracy of forecasting models aimed at predicting technology diffusion. • Understand early vs. late majority traits in electric vehicle adoption • Assess risks and test mitigation strategies for early and late majority adopters • Combine UTAUT and DOI to build stronger latent variables and improve model fit • Refine adopter profiles to enhance forecasting accuracy

Technological Forecasting and Social ChangeVol. 220
University of Duisburg-Essen (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Electric Vehicles and Infrastructure
3.65
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Understanding mass-market electric vehicle adoption: Integrating diffusion of innovation theory with risk mitigation strategy in Germany — Ellen Enkel, Sander Wintgens · Technological Forecasting and Social Change (2025) | TGRS Research Map | TGRS