IDEAS home Printed from https://ideas.repec.org/p/ceo/wpaper/36.html

Proposition d'un cadre conceptuel pour la gestion du risque sanitaire des aliments dans les industries agroalimentaires

Author

Listed:
  • Doudja Saïdi-Kabèche
  • Marie-Hélène Vergote

Abstract

La maîtrise du risque sanitaire des aliments fait partie intégrante de la stratégie des firmes agro-alimentaires. Ces entreprises mettent en place des dispositifs organisationnels aptes à générer une maîtrise efficiente des risques, à travers la conformation à des référentiels assez stricts, répondant à des normes publiques ou à des standards privés. Ces dispositifs sont validés par des audits externes eux-mêmes préparés par des audits internes. Nous montrons, à travers l'analyse de l'état de l'art, les limites de ces double-dispositifs de contrôle. Nous nous proposons d'élaborer un cadre conceptuel original pour le déploiement d'une stratégie d'excellence en matière de sécurité alimentaire qui permettrait de renouveler l'audit interne. L'objectif est de sortir de la logique bureaucratique pour instaurer une relation auditeur/ audité favorisant l'apprentissage et le progrès continu. Ce cadre conceptuel est construit en mobilisant le formalisme de la méthode 5steps® qui s'intéresse particulièrement au pilotage des plans de progrès. - Abstract - Managing food safety risk is one of the main issues of food processing firms. The conformation to different specific standards (private or public) is one of the main levers used by these enterprises to respond to this strategic objective. Then, the use of internal and external audits is becoming pervasive in these organizations. We propose to use the 5Steps® method as a conceptual framework for the deployment of food safety strategy. We try to identify how to use this method to enhance internal audit practices by helping to change the auditing style from a conformance tool to a continuous improvement enabler.

Suggested Citation

  • Doudja Saïdi-Kabèche & Marie-Hélène Vergote, 2012. "Proposition d'un cadre conceptuel pour la gestion du risque sanitaire des aliments dans les industries agroalimentaires," INRA UMR CESAER Working Papers 2012/4, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    • Handle: RePEc:ceo:wpaper:36
    as

    Download full text from publisher

    File URL: http://www2.dijon.inra.fr/cesaer/workingpapers/RePEc/ceo/wpaper/wp2012_4.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Trienekens, Jacques & Zuurbier, Peter, 2008. "Quality and safety standards in the food industry, developments and challenges," International Journal of Production Economics, Elsevier, vol. 113(1), pages 107-122, May.
    Full references (including those not matched with items on IDEAS)

    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. Monica Sharma & Akshay Patidar & Neha Anchliya & Neeraj Prabhu & Amal Asok & Anjesh Jhajhriya, 2023. "Blockchain adoption in food supply chain for new business opportunities: an integrated approach," Operations Management Research, Springer, vol. 16(4), pages 1949-1967, December.
    2. Mahdi Ghodsi, 2024. "Regulatory convergence within technical barriers to trade," The World Economy, Wiley Blackwell, vol. 47(5), pages 1870-1915, May.
    3. Blind, Knut & Mangelsdorf, Axel & Pohlisch, Jakob, 2018. "The effects of cooperation in accreditation on international trade: Empirical evidence on ISO 9000 certifications," International Journal of Production Economics, Elsevier, vol. 198(C), pages 50-59.
    4. Yong Wang & Xudong Deng & Qian Lu & Mingke Guan & Fen Lu & Xiaochang Wu, 2023. "Developing Platform Supply Chain Contract Coordination and a Numerical Analysis Considering Fresh-Keeping Services," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    5. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    6. JIANG, Qijun & FLORKOWSKI, Wojciech Jan, . "Factors Limiting Quality Assurance Program Implementation In Food Manufacturing Companies In Shanghai, China," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(01).
    7. Wiegmann, Paul Moritz & de Vries, Henk J. & Blind, Knut, 2017. "Multi-mode standardisation: A critical review and a research agenda," Research Policy, Elsevier, vol. 46(8), pages 1370-1386.
    8. Guowei Liu & Jianxiong Zhang & Wansheng Tang, 2015. "Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand," Annals of Operations Research, Springer, vol. 226(1), pages 397-416, March.
    9. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    10. Mahdi Ghodsi, 2015. "The Role of Specific Trade Concerns Raised on TBTs in the Import of Products to the EU, USA and China," wiiw Working Papers 116, The Vienna Institute for International Economic Studies, wiiw.
    11. Haico te Kulve & Wouter Boon & Kornelia Konrad & Tjerk Jan Schuitmaker, 2018. "Influencing the direction of innovation processes: the shadow of authorities in demand articulation," Science and Public Policy, Oxford University Press, vol. 45(4), pages 455-467.
    12. Constantino Madadisse & Isabel Calha & Maria de Fátima Oliveira, 2025. "Consumer Perceptions of Rice Safety and Pesticide Residues in Portugal: A Case Study," Sustainability, MDPI, vol. 17(18), pages 1-19, September.
    13. Kumar, Kushal & Ge, Houtian & Gomez, Miguel, 2025. "Modeling Strategies to Ensure Food Safety in the US Fresh Produce Supply Chain," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360891, Agricultural and Applied Economics Association.
    14. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    15. Geng, Wei & Trienekens, Jacques & Wubben, Emiel F.M., 2013. "Improving Food Safety within China’s Dairy Chain: Key Issues of Compliance with QA Standards," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 4(2), pages 1-13, October.
    16. Anulipt Chandan & Michele John & Vidyasagar Potdar, 2023. "Achieving UN SDGs in Food Supply Chain Using Blockchain Technology," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    17. Kumar Mangla, Sachin & Börühan, Gülmüş & Ersoy, Pervin & Kazancoglu, Yigit & Song, Malin, 2021. "Impact of information hiding on circular food supply chains in business-to-business context," Journal of Business Research, Elsevier, vol. 135(C), pages 1-18.
    18. Yan, Minhao & Ge, Houtian & Gomez, Miguel I., 2023. "Risk Management Strategy of Food Safety: The Case of the US Fresh Produce Supply Chain," 2023 Annual Meeting, July 23-25, Washington D.C. 335580, Agricultural and Applied Economics Association.
    19. Dominik Zimon & Peter Madzik & Pedro Domingues, 2020. "Development of Key Processes along the Supply Chain by Implementing the ISO 22000 Standard," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    20. Assem Abu Hatab, 2016. "Demand relationships in orange exports to Russia: a differential demand system approach focusing on Egypt," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-16, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

    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:ceo:wpaper:36. 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: Corinne DASEN The email address of this maintainer does not seem to be valid anymore. Please ask Corinne DASEN to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/ceinrfr.html .

    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.