Abstract
Brazilian pork supply chain has various challenges reflected by the consumers’ preference perception, which is one of the lowest in the Western world. Several researches have shown that there is a divergence between consumer preferences and actual pork consumption. This study aimed to examine the Brazilian consumers’ preference towards pork. An online survey was developed in order to investigate the marketing of pork at the retailer level. Analytic Hierarchy Process (AHP) was applied in order to classify the consumers’ alternatives related to the frequency of eating pork, which were weekly, biweekly and monthly consumption. Results showed that the factors that most contribute to the purchase decision of pork are household income, commodity price and the characteristics related to meat quality.
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References
Food, of the United Nations, A.O.: FAO statistical yearbook 2013: world food and agriculture (2013)
Horta, F., Eckhardt, O.H., Gameiro, A.H., Moretti, A.S.: Strategies of signalization of pork quality to final consumer. Current Agricultural Science and Technology 16(1-4), 15–21 (2010)
Santos, E.L., Santos, E.P., Pontes, E.C., Souza, A.P.L., Temoteo, M.C., Cavalcanti, M.C.A.: Consumer market of swine meat and derivatives in rio largo-AL. Acta Veterinaria Brasileira 6(3), 230–238 (2012)
Ministry of Agriculture, Lifestock and Food Supply.: Agribusiness projections: Brazil 2012/2013 a 2022/2023. MAPA., Brasilia (2013)
Kaimakoudi, E., Polymeros, K., Schinaraki, M., Batzios, C.: Consumers attitudes towards fisheries products. Procedia Technology 8, 90 – 96 (2013), http://www.sciencedirect.com/science/article/pii/S2212017313000753 , 6th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2013)
Perez, C., Castro, R., Furnols, M.F.: The pork industry: a supply chain perspective. British Food Journal 111(3), 257–274 (2009)
Trienekens, J., Wognum, N.: Requirements of supply chain management in differentiating european pork chains. Meat Science 95(3), 719–726 (2013), http://www.sciencedirect.com/science/article/pii/S0309174013001137
Sureshchandar, G., Leisten, R.: A framework for evaluating the criticality of software metrics: an analytic hierarchy process (AHP) approach. Measuring Business Excellence 10(4), 22–33 (2006)
Belton, V., Stewart, T.J.: Multiple criteria decision analysis: an integrated approach. Kluwer Academic, Dordrecht (2002)
Barros, M.A., Moreira, M.A., Rudorff, B.F.T.: Analytical hierarchical process to identify favorable areas to the coffee crop agroecosystem at municipal scale. Pesquisa Agrop. Brasileira 42(12), 1769–1777 (2007)
Brazilian Institute of Geography and Statistics: http://www.ibge.gov.br
Saaty, T.: Decision making with the analytic hierarchy process. Int. J. Services Sciences 1(1), 83–98 (2008)
Deng, X., Hu, Y., Deng, Y., Mahadevan, S.: Supplier selection using {ahp} methodology extended by d numbers. Expert Systems with Applications 41(1), 156 – 167 (2014), http://www.sciencedirect.com/science/article/pii/S0957417413004958 , 21st Century Logistics and Supply Chain Management
Troy, D.J., Kerry, J.P.: Consumer perception and the role of science in the meat industry. Meat Science 86(1), 214 – 226 (2010), http://www.sciencedirect.com/science/article/pii/S0309174010001865 , special Issue: 56th International Congress of Meat Science and Technology (56th ICoMST), August 15-20, Jeju, Korea, (2010)
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Machado, S.T., de Alencar Nääs, I., dos Reis, J.G.M., Vendrametto, O. (2014). Brazilian Consumers’ Preference towards Pork. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds) Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. APMS 2014. IFIP Advances in Information and Communication Technology, vol 439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44736-9_7
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