IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v6y2022i4p86-d1007916.html
   My bibliography  Save this article

The Complexity of the Meat Supply Chain in Cameroon: Multiplicity of Actors, Interactions and Challenges

Author

Listed:
  • Victor Tsapi

    (Marketing & Logistics Research Laboratory (LAREMALO), Marketing Department, University of Ngaoundéré, Ngaoundéré P.O. Box 454, Cameroon)

  • Marie-Noël Assene

    (Marketing & Logistics Research Laboratory (LAREMALO), Marketing Department, University of Ngaoundéré, Ngaoundéré P.O. Box 454, Cameroon)

  • Hans-Dietrich Haasis

    (Faculty of Business Studies and Economics, University of Bremen, Max-von-Laue-Str. 1, 28359 Bremen, Germany)

Abstract

Background : Beef, because of its high protein content, occupies a privileged place in household consumption in Cameroon. However, the quality of the meat available on the market and the prices charged are far from satisfactory for consumers. There is therefore clearly a problem of physical and financial accessibility to quality beef for the Cameroonian consumer (in a country where 37.5% of the population lives below the poverty line). Methods : To analyze this problem, a qualitative exploratory study based on interviews and on-site observations was conducted. Results : In the article, we are interested in the Supply Chain (SC) of beef in Cameroon, with the aim of understanding its dynamics and highlighting the main obstacles that prevent the actors involved from ensuring consumers, the availability of quality meat at a reasonable price. Through the qualitative exploratory study conducted with the main actors involved (breeders, livestock traders, modern and traditional slaughterhouses, butchers, etc.), we show that the SC of beef in Cameroon is plagued by technical, financial, managerial and cultural constraints that prevent them from satisfying their customers and to take full advantage of their activities. Conclusions : Despite the methodological limits related to sampling and an essentially qualitative approach, the quality and richness of the information collected through in-depth interviews edify the main difficulties and challenges encountered by the actors and lead to managerial implications and prospects of research.

Suggested Citation

  • Victor Tsapi & Marie-Noël Assene & Hans-Dietrich Haasis, 2022. "The Complexity of the Meat Supply Chain in Cameroon: Multiplicity of Actors, Interactions and Challenges," Logistics, MDPI, vol. 6(4), pages 1-16, December.
  • Handle: RePEc:gam:jlogis:v:6:y:2022:i:4:p:86-:d:1007916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/6/4/86/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/6/4/86/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    2. Hau L. Lee & Corey Billington, 1993. "Material Management in Decentralized Supply Chains," Operations Research, INFORMS, vol. 41(5), pages 835-847, October.
    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. Evance Hlekwayo Moyo & Stephen Carstens & Jackie Walters, 2024. "Simulation Model for a Sustainable Food Supply Chain in a Developing Country: A Case Study of the Banana Supply Chain in Malawi," Logistics, MDPI, vol. 8(3), pages 1-23, August.

    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. Peretzke, Julia & Sandhaus, Gregor, 2017. "Einsatzpotentiale von Cognitive Computing zur Unterstützung der Entscheidungsfindung im Supply Chain Management," ild Schriftenreihe 53, FOM Hochschule für Oekonomie & Management, Institut für Logistik- & Dienstleistungsmanagement (ild).
    2. Henri Barki & Alain Pinsonneault, 2005. "A Model of Organizational Integration, Implementation Effort, and Performance," Organization Science, INFORMS, vol. 16(2), pages 165-179, April.
    3. Mustapha Ouhimmou & Sophie D'Amours & Robert Beauregard & Daoud Ait-Kadi & Satyaveer Singh Chauhan, 2009. "Optimization Helps Shermag Gain Competitive Edge," Interfaces, INFORMS, vol. 39(4), pages 329-345, August.
    4. Sivadasan, Suja & Smart, Janet & Huaccho Huatuco, Luisa & Calinescu, Anisoara, 2013. "Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface," International Journal of Production Economics, Elsevier, vol. 145(1), pages 253-262.
    5. Chan K. Hahn & Edward A. Duplaga & Janet L. Hartley, 2000. "Supply-Chain Synchronization: Lessons from Hyundai Motor Company," Interfaces, INFORMS, vol. 30(4), pages 32-45, August.
    6. Kevin H. Shang & Jing-Sheng Song, 2006. "A Closed-Form Approximation for Serial Inventory Systems and Its Application to System Design," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 394-406, September.
    7. Mate Barany & Zsolt Tuza, 2015. "Circular coloring of graphs via linear programming and tabu search," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(4), pages 833-848, December.
    8. Feng Yang & Dexiang Wu & Liang Liang & Gongbing Bi & Desheng Wu, 2011. "Supply chain DEA: production possibility set and performance evaluation model," Annals of Operations Research, Springer, vol. 185(1), pages 195-211, May.
    9. Hiroko Nakamura & Shinji Suzuki & Tomobe Hironori & Yuya Kajikawa & Ichiro Sakata, 2011. "Citation lag analysis in supply chain research," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 221-232, May.
    10. Ewing, Bradley T. & Thompson, Mark A., 2008. "Industrial production, volatility, and the supply chain," International Journal of Production Economics, Elsevier, vol. 115(2), pages 553-558, October.
    11. Alptekinoglu, Aydin & Tang, Christopher S., 2005. "A model for analyzing multi-channel distribution systems," European Journal of Operational Research, Elsevier, vol. 163(3), pages 802-824, June.
    12. Perona, Marco & Cigolini, Roberto & Adani, Mattia & Biondi, Roberto & Guzzetti, Stefano & Jenna, Ruggero & Chessa, Mario & Agellara, Stefano, 2001. "The integrated management of logistic chains in the white goods industry. A field research in Italy," International Journal of Production Economics, Elsevier, vol. 69(2), pages 227-238, January.
    13. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    14. Alex Bangash & Ramesh Bollapragada & Rachelle Klein & Narayan Raman & Herbert B. Shulman & Donald R. Smith, 2004. "Inventory Requirements Planning at Lucent Technologies," Interfaces, INFORMS, vol. 34(5), pages 342-352, October.
    15. Malinowski, Ethan & Karwan, Mark H. & Pinto, José M. & Sun, Lei, 2018. "A mixed-integer programming strategy for liquid helium global supply chain planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 168-188.
    16. Son, Joong Y. & Sheu, Chwen, 2008. "The impact of replenishment policy deviations in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 785-804, June.
    17. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    18. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.
    19. Vinayak Deshpande & Morris A. Cohen & Karen Donohue, 2003. "An Empirical Study of Service Differentiation for Weapon System Service Parts," Operations Research, INFORMS, vol. 51(4), pages 518-530, August.
    20. Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.

    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:jlogis:v:6:y:2022:i:4:p:86-:d:1007916. 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.