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Nurture: A Novel Approach to PSS-Rebound Effect Identification

Author

Listed:
  • Salman Alfarisi

    (Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan)

  • Yuya Mitake

    (Research into Artifacts, Center for Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

  • Yusuke Tsutsui

    (Faculty of Computer Science and Systems Engineering, Okayama Prefectural University, Okayama 719-1197, Japan)

  • Hanfei Wang

    (Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan)

  • Yoshiki Shimomura

    (Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan)

Abstract

The product–service system is a significant research subject related to business model innovation and sustainability. However, the product–service system feature has affected the consumption behaviour, affecting nurture. The authors identified an apparent knowledge gap in the prior literature concerning nurture in the product–service system. This study examined whether nurture should be a prominent issue in the product–service system since certain features can significantly affect the achievement of set targets by generating a rebound effect. This study demonstrated that the business model system is complex, with interconnected solutions and issues. Solutions are not implemented in isolation, therefore, each decision affects the system. This study employed feedback system thinking using system dynamics. To validate its findings against the actual situation, this study employed car-sharing as a case study. The findings of this study indicate that the variable of nurture is a significant indicator of profit growth but generates a deterioration in the environmental and social performance of product–service system implementation, which leads to a rebound effect of the product–service system.

Suggested Citation

  • Salman Alfarisi & Yuya Mitake & Yusuke Tsutsui & Hanfei Wang & Yoshiki Shimomura, 2023. "Nurture: A Novel Approach to PSS-Rebound Effect Identification," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7359-:d:1135617
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    References listed on IDEAS

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