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Digital technology adoption model for electric vehicle battery recycling supply chain - an influential relationship mapping

Author

Listed:
  • Vimal K. E. K.

    (National Institute of Technology)

  • Jayakrishna Kandasamy

    (Vellore Institute of Technology)

  • Vezhavendhan R.

    (Vellore Institute of Technology)

  • Bostine Bose

    (Vellore Institute of Technology)

  • Arun Kumar Menon

    (Vellore Institute of Technology)

  • Sivakumar K.

    (Loyola Institute of Business Administration)

Abstract

The lack of standardization in electric vehicle battery recycling units poses a significant challenge, impeding efficient battery recycling and material extraction processes. However, digital technologies such as blockchain and sensor networks offer potential solutions by enabling improved tracking and tracing of battery life cycles, thereby enhancing effective recycling. The purpose of this study is to provide current literature by identifying prime factors that strengthen the adoption of digital technology in electric vehicle battery recycling units. Through an extensive review of literature and inputs from experts, 11 drivers are identified. The combined application of Total Interpretive Structural Modelling and Cross Impact Matrix Multiplication applied to classification was utilized to determine the inter-relationships and establish a priority order among the identified drivers. The outcomes show that real-time data monitoring and coordination are the most influential drivers, while cost reduction exhibits the highest dependence among the influencing factors for adopting digital technology in electric vehicle battery recycling units. Additionally, this study undertakes an analysis of driver interactions and proposes a roadmap to adopt Digital Technologies in electric vehicle battery recycling units. The findings of this study can help practitioners and firms in the battery recycling business develop strategies for sustainably recycling electric vehicle batteries through the adoption of digital technology.

Suggested Citation

  • Vimal K. E. K. & Jayakrishna Kandasamy & Vezhavendhan R. & Bostine Bose & Arun Kumar Menon & Sivakumar K., 2024. "Digital technology adoption model for electric vehicle battery recycling supply chain - an influential relationship mapping," Operations Management Research, Springer, vol. 17(4), pages 1469-1508, December.
    • Handle: RePEc:spr:opmare:v:17:y:2024:i:4:d:10.1007_s12063-024-00515-y
    DOI: 10.1007/s12063-024-00515-y
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    Cited by:

    1. Jun Chen & Asma-Qamaliah Abdul-Hamid & Suhaiza Zailani, 2024. "Blockchain Adoption for a Circular Economy in the Chinese Automotive Industry: Identification of Influencing Factors Using an Integrated TOE-TAM Model," Sustainability, MDPI, vol. 16(24), pages 1-28, December.

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