IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v130y2024ics016649722300250x.html
   My bibliography  Save this article

Digitally enabled food sharing platforms towards effective waste management in a circular economy: A system dynamics simulation model

Author

Listed:
  • Ranjbari, Meisam
  • Shams Esfandabadi, Zahra
  • Siebers, Peer-Olaf
  • Pisano, Paola
  • Quatraro, Francesco

Abstract

As a solution to tackle the food waste (FW) challenge, digitally enabled food sharing platforms (FSPs) are emerging as FW warriors and anti-waste social movements. Despite the rapidly growing number of users, the amount of FW prevented per user in these platforms is relatively low. Hence, the real contribution of FSPs to the circular economy (CE) by preventing FW is still blurred. To fill this gap, a System Dynamics simulation model is developed in this research to unfold how people adopt such platforms over time, and how such platforms contribute to the CE through FW prevention. The model is used to simulate the adoption and performance of Italy's Too Good To Go (TGTG) platform spanning 2015-2060 as a reference case. The results show that although TGTG is a successful FSP in terms of adoption, it can still significantly improve in terms of performance. Besides, while the current TGTG's marketing strategy is effective, knowledge-enhancing activities should be strengthened to improve performance. Hence, this research recommends a winning policy, which can reduce approximately 3% of the total FW generated at the country level (Italy) in 2060, a significant contribution to the CE transition.

Suggested Citation

  • Ranjbari, Meisam & Shams Esfandabadi, Zahra & Siebers, Peer-Olaf & Pisano, Paola & Quatraro, Francesco, 2024. "Digitally enabled food sharing platforms towards effective waste management in a circular economy: A system dynamics simulation model," Technovation, Elsevier, vol. 130(C).
  • Handle: RePEc:eee:techno:v:130:y:2024:i:c:s016649722300250x
    DOI: 10.1016/j.technovation.2023.102939
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016649722300250X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.technovation.2023.102939?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nica-Avram, Georgiana & Harvey, John & Smith, Gavin & Smith, Andrew & Goulding, James, 2021. "Identifying food insecurity in food sharing networks via machine learning," Journal of Business Research, Elsevier, vol. 131(C), pages 469-484.
    2. Mustafeed Zaman & Tan Vo-Thanh & Rajibul Hasan & Mujahid Mohiuddin Babu, 2021. "Mobile channel as a strategic distribution channel in times of crisis: a self-determination theory perspective," Post-Print hal-03403872, HAL.
    3. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    4. Alice Marie Yamabe-Ledoux & Osamu Saito & Keiko Hori, 2023. "Exploring the Opportunities and Challenges of ICT-Mediated Food Sharing in Japan," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
    5. Micky A. Babalola, 2019. "A System Dynamics-Based Approach to Help Understand the Role of Food and Biodegradable Waste Management in Respect of Municipal Waste Management Systems," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    6. Fahime Lotfian Delouyi & Meisam Ranjbari & Zahra Shams Esfandabadi, 2023. "A Hybrid Multi-Criteria Decision Analysis to Explore Barriers to the Circular Economy Implementation in the Food Supply Chain," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    7. Silvia Sarti & Filippo Corsini & Natalia Marzia Gusmerotti & Marco Frey, 2017. "Food sharing: Making sense between new business models and responsible social initiatives for food waste prevention," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 123-134.
    8. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    9. Michelini, Laura & Principato, Ludovica & Iasevoli, Gennaro, 2018. "Understanding Food Sharing Models to Tackle Sustainability Challenges," Ecological Economics, Elsevier, vol. 145(C), pages 205-217.
    10. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    11. Benjamin L. Turner & Hector M. Menendez & Roger Gates & Luis O. Tedeschi & Alberto S. Atzori, 2016. "System Dynamics Modeling for Agricultural and Natural Resource Management Issues: Review of Some Past Cases and Forecasting Future Roles," Resources, MDPI, vol. 5(4), pages 1-24, November.
    12. Lucas, Benjamin & Francu, R. Elena & Goulding, James & Harvey, John & Nica-Avram, Georgiana & Perrat, Bertrand, 2021. "A Note on Data-driven Actor-differentiation and SDGs 2 and 12: Insights from a Food-sharing App," Research Policy, Elsevier, vol. 50(6).
    13. Mazzucchelli, Alice & Gurioli, Martina & Graziano, Domenico & Quacquarelli, Barbara & Aouina-Mejri, Chiraz, 2021. "How to fight against food waste in the digital era: Key factors for a successful food sharing platform," Journal of Business Research, Elsevier, vol. 124(C), pages 47-58.
    14. Francesca Galli & Alessio Cavicchi & Gianluca Brunori, 2019. "Food waste reduction and food poverty alleviation: a system dynamics conceptual model," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(2), pages 289-300, June.
    15. Meisam Ranjbari & Gustavo Morales-Alonso & Ruth Carrasco-Gallego, 2018. "Conceptualizing the Sharing Economy through Presenting a Comprehensive Framework," Sustainability, MDPI, vol. 10(7), pages 1-24, July.
    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. Sgroi, Filippo & Totaro, Teresa & Modica, Federico & Sciortino, Caterina, 2024. "A Digital Platform Strategy to Improve Food Waste Disposal Practices: Exploring the Case of "Too Good To Go"," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(1), March.

    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. Orbach Yair & Fruchter Gila E., 2010. "A Utility-Based Diffusion Model Applied to the Digital Camera Case," Review of Marketing Science, De Gruyter, vol. 8(1), pages 1-28, June.
    2. Singhal, Shakshi & Anand, Adarsh & Singh, Ompal, 2020. "Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Velickovic, Stevan & Radojicic, Valentina & Bakmaz, Bojan, 2016. "The effect of service rollout on demand forecasting: The application of modified Bass model to the step growing markets," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 130-140.
    4. Ying-Jiun Hsieh & Shu-Min Yang Lin & Lan-Ying Huang, 2021. "Sharing Leftover Food with Strangers via Social Media: A Value Perspective Based on Beliefs-Values-Behavior Framework," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    5. Barnes, Belinda & Southwell, Darren & Bruce, Sarah & Woodhams, Felicity, 2014. "Additionality, common practice and incentive schemes for the uptake of innovations," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 43-61.
    6. Zhiling Guo & Jianqing Chen, 2018. "Multigeneration Product Diffusion in the Presence of Strategic Consumers," Information Systems Research, INFORMS, vol. 29(1), pages 206-224, March.
    7. Mingxing Wu & Liya Wang & Ming Li, 2015. "An approach based on the Bass model for analyzing the effects of feature fatigue on customer equity," Computational and Mathematical Organization Theory, Springer, vol. 21(1), pages 69-89, March.
    8. Namwoon Kim & Dae Ryun Chang & Allan D. Shocker, 2000. "Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 496-512, April.
    9. Luigi De Cesare & Andrea Di Liddo & Stefania Ragni, 2003. "Numerical Solutions to Some Optimal Control Problems Arising from Innovation Diffusion," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 173-186, October.
    10. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    11. Avagyan, Vardan & Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2014. "Licensing radical product innovations to speed up the diffusion," European Journal of Operational Research, Elsevier, vol. 239(2), pages 542-555.
    12. Hongmin Li & Dieter Armbruster & Karl G. Kempf, 2013. "A Population-Growth Model for Multiple Generations of Technology Products," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 343-360, July.
    13. Shun-Chen Niu, 2006. "A Piecewise-Diffusion Model of New-Product Demands," Operations Research, INFORMS, vol. 54(4), pages 678-695, August.
    14. Luigi De Cesare & Andrea Di Liddo & Stefania Ragni, 2002. "Numerical solution of some optimal control problems arising from innovation diffusion," Computing in Economics and Finance 2002 221, Society for Computational Economics.
    15. Samuel Sale, R. & Mesak, Hani I. & Inman, R. Anthony, 2017. "A dynamic marketing-operations interface model of new product updates," European Journal of Operational Research, Elsevier, vol. 257(1), pages 233-242.
    16. Alice Marie Yamabe-Ledoux & Osamu Saito & Keiko Hori, 2023. "Exploring the Opportunities and Challenges of ICT-Mediated Food Sharing in Japan," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
    17. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    18. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2020. "Modeling technology diffusion: a study based on market coverage and advertising efforts," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 154-162, July.
    19. R. Mark Krankel & Izak Duenyas & Roman Kapuscinski, 2006. "Timing Successive Product Introductions with Demand Diffusion and Stochastic Technology Improvement," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 119-135, June.
    20. Namin, Aidin & Ratchford, Brian T. & Soysal, Gonca P., 2017. "An empirical analysis of demand variations and markdown policies for fashion retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 126-136.

    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:eee:techno:v:130:y:2024:i:c:s016649722300250x. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/01664972 .

    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.