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Enabling battery circularity: Unlocking circular business model archetypes and collaboration forms in the electric vehicle battery ecosystem

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  • Chirumalla, Koteshwar
  • Kulkov, Ignat
  • Parida, Vinit
  • Dahlquist, Erik
  • Johansson, Glenn
  • Stefan, Ioana

Abstract

Achieving battery circularity is crucial for meeting the targets of net-zero emission vehicles by 2030 and enabling climate-neutral transportation by 2050. To facilitate this transition, firms operating in the electric vehicle (EV) battery ecosystem must reassess their value creation, capture, and delivery methods. Although EV battery second life presents a promising solution for circularity, many vehicle manufacturers and stakeholders in the battery ecosystem struggle to adapt their organizations internally and externally due to a lack of insights into suitable circular business models. The purpose of this study is to identify viable archetypes of circular business models for EV battery second life and examine their implications on company collaborations within the EV battery ecosystem. Three main archetypes of circular business models are identified (i.e., extending, sharing, and looping business models) and further divided into eight sub-archetypes. These models are elucidated in terms of key business model dimensions, including value proposition, value co-creation, value delivery, and value capture. The paper provides visual representations of the necessary interactions and collaborations among companies in the EV battery ecosystem to effectively implement the proposed business model archetypes. This research contributes to the theory of circular business models in general, with specific relevance to EV battery circularity.

Suggested Citation

  • Chirumalla, Koteshwar & Kulkov, Ignat & Parida, Vinit & Dahlquist, Erik & Johansson, Glenn & Stefan, Ioana, 2024. "Enabling battery circularity: Unlocking circular business model archetypes and collaboration forms in the electric vehicle battery ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523007291
    DOI: 10.1016/j.techfore.2023.123044
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