IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7359-d1135617.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7359/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7359/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario Fargnoli & Nicolas Haber & Massimo Tronci, 2022. "Case Study Research to Foster the Optimization of Supply Chain Management through the PSS Approach," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
    2. Federica Acerbi & Claudio Sassanelli & Marco Taisch, 2022. "A conceptual data model promoting data-driven circular manufacturing," Operations Management Research, Springer, vol. 15(3), pages 838-857, December.
    3. Hans Jakob Walnum & Carlo Aall & Søren Løkke, 2014. "Can Rebound Effects Explain Why Sustainable Mobility Has Not Been Achieved?," Sustainability, MDPI, vol. 6(12), pages 1-28, December.
    4. Gonchar V. & Kalinin O., 2015. "Marketing aspects of steady growth business strategy," Економічний вісник Донбасу Экономический вестник Донбасса, CyberLeninka;Институт экономики промышленности НАН Украины, issue 4 (42), pages 131-135.
    5. Assefa, G. & Frostell, B., 2007. "Social sustainability and social acceptance in technology assessment: A case study of energy technologies," Technology in Society, Elsevier, vol. 29(1), pages 63-78.
    6. Font Vivanco, David & Kemp, René & van der Voet, Ester, 2016. "How to deal with the rebound effect? A policy-oriented approach," Energy Policy, Elsevier, vol. 94(C), pages 114-125.
    7. Cox, Jayne & Griffith, Sarah & Giorgi, Sara & King, Geoff, 2013. "Consumer understanding of product lifetimes," Resources, Conservation & Recycling, Elsevier, vol. 79(C), pages 21-29.
    8. Catherine E. Cherry & Nick F. Pidgeon, 2018. "Why Is Ownership an Issue? Exploring Factors That Determine Public Acceptance of Product-Service Systems," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    9. Hyunseok Park & Janghyeok Yoon, 2015. "A chance discovery-based approach for new product–service system (PSS) concepts," Service Business, Springer;Pan-Pacific Business Association, vol. 9(1), pages 115-135, March.
    10. Lucia Corsini & James Moultrie, 2021. "What Is Design for Social Sustainability? A Systematic Literature Review for Designers of Product-Service Systems," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    11. Santarius, Tilman & Soland, Martin, 2018. "How Technological Efficiency Improvements Change Consumer Preferences: Towards a Psychological Theory of Rebound Effects," Ecological Economics, Elsevier, vol. 146(C), pages 414-424.
    12. Buberger, Johannes & Kersten, Anton & Kuder, Manuel & Eckerle, Richard & Weyh, Thomas & Thiringer, Torbjörn, 2022. "Total CO2-equivalent life-cycle emissions from commercially available passenger cars," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xue, Jing & Fu, Chong & Chen, Junfeng & Cui, Lihong, 2025. "Evaluating the influence of different straw mulch-autumn irrigation patterns on soil water, heat, and salt in seasonally frozen regions with distributed SHAW model," Agricultural Water Management, Elsevier, vol. 311(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Donald Wilson & Eleni Iacovidou, 2023. "Investigating the Potential Adoption of Product-Service Systems in the Luggage Industry to Promote Sustainability," Resources, MDPI, vol. 12(8), pages 1-18, August.
    2. David Font Vivanco & Serenella Sala & Will McDowall, 2018. "Roadmap to Rebound: How to Address Rebound Effects from Resource Efficiency Policy," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    3. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    4. David Font Vivanco & Jaume Freire‐González & Ray Galvin & Tilman Santarius & Hans Jakob Walnum & Tamar Makov & Serenella Sala, 2022. "Rebound effect and sustainability science: A review," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1543-1563, August.
    5. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    6. Ruth Mugge, 2018. "Product Design and Consumer Behaviour in a Circular Economy," Sustainability, MDPI, vol. 10(10), pages 1-4, October.
    7. Font Vivanco, David & Nechifor, Victor & Freire-González, Jaume & Calzadilla, Alvaro, 2021. "Economy-wide rebound makes UK’s electric car subsidy fall short of expectations," Applied Energy, Elsevier, vol. 297(C).
    8. Rabaa, Simon & Wilken, Robert & Geisendorf, Sylvie, 2024. "Does recalling energy efficiency measures reduce subsequent climate-friendly behavior? An experimental study of moral licensing rebound effects," Ecological Economics, Elsevier, vol. 217(C).
    9. Cansino, José M. & Ordóñez, Manuel & Prieto, Manuela, 2022. "Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain," Applied Energy, Elsevier, vol. 306(PA).
    10. Sonnberger, Marco & Gross, Matthias, 2018. "Rebound Effects in Practice: An Invitation to Consider Rebound From a Practice Theory Perspective," Ecological Economics, Elsevier, vol. 154(C), pages 14-21.
    11. Pengen Mai & Steven James Day, 2023. "Persuading Reluctant Customers: The Online Marketing Communications of Car Sharing Firms," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    12. Chankook Park & Wan Gyu Heo & Myung Eun Lee, 2024. "Study on Consumers’ Perceived Benefits and Risks of Smart Energy System," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 288-300, May.
    13. Lee, Shin, 2018. "Transport policies, induced traffic and their influence on vehicle emissions in developed and developing countries," Energy Policy, Elsevier, vol. 121(C), pages 264-274.
    14. Jin Xue & Hans Jakob Walnum & Carlo Aall & Petter Næss, 2016. "Two Contrasting Scenarios for a Zero-Emission Future in a High-Consumption Society," Sustainability, MDPI, vol. 9(1), pages 1-25, December.
    15. Munten, Pauline & Swaen, Valérie & Vanhamme, Joëlle, 2024. "Exploring rebound effects in Access-Based services (ABS)," Journal of Business Research, Elsevier, vol. 182(C).
    16. Ana Beatriz Hernández-Lara & Juan Pablo Gonzales-Bustos & Amado Alarcón-Alarcón, 2021. "Social Sustainability on Corporate Boards: The Effects of Female Family Members on R&D," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    17. Freire-González, Jaume, 2017. "Evidence of direct and indirect rebound effect in households in EU-27 countries," Energy Policy, Elsevier, vol. 102(C), pages 270-276.
    18. Fung, Yi-Ning & Chan, Hau-Ling & Choi, Tsan-Ming & Liu, Rong, 2021. "Sustainable product development processes in fashion: Supply chains structures and classifications," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Shaofei Jiang & Di Feng & Chunfu Lu, 2019. "A Sustainable Innovation—Additional Services for Products Based on Personalised Customer Value," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    20. Shao, Shuai & Guo, Longfei & Yu, Mingliang & Yang, Lili & Guan, Dabo, 2019. "Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)," Applied Energy, Elsevier, vol. 241(C), pages 212-228.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7359-:d:1135617. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.