Meat stores strategies in social media: a study in Porto Alegre, Brazil
DOI:
https://doi.org/10.33448/rsd-v11i10.32772Keywords:
Digital marketing; Beef supply chain; Premium meat; Food niche market.Abstract
This study identified the marketing strategies in social media used by retail meat stores in the municipality of Porto Alegre, Southern Brazil. Data was collected through posts available on social media and on websites of 18 stores in November 2018, each social media was analyzed on the same day to avoid bias of new followers or posts. In this analysis, 38 descriptor variables were identified, coded, and grouped by Cluster Analysis. The variables were compared in a one-way PERMANOVA with Bonferroni correction. To our knowledge, none other research analyzes the virtual strategies of this traditional sector and offers pointers for beef stores to survive on social media. To understand this adaptation is even more relevant considering the reality of Covid-19 pandemic, and we highly suggest future studies to analyze this scenario to understand the changes in marketing and in consumer’s responses. The analysis of clusters identified three types of meat stores: traditional; dynamic and UpToDate; and a group with diffuse strategies, with different marketing strategies on social media. The most advertised variables were associated with product characteristics, such as quality, sensorial aspects, and beef cut. On the other hand, intangible aspects such as environmental concerns, certifications, where barely mentioned.
References
Bragg, M. A., Eby, M., Arshonsky, J., Bragg, A., & Ogedegbe, G. (2017). Comparison of online marketing techniques on food and beverage companies’ websites in six countries. Globalization and health, 13(1), 79. 10.1186/s12992-017-0303-z
Cheowsuwan, T., Arthan, S., & Tongphet, S. (2017). System Design of Supply Chain Management and Thai Food Export to Global Market via Electronic Marketing. International Journal of Modern Education & Computer Science, 9(8). 10.5815/ijmecs.2017.08.01
Confos, N., & Davis, T. (2016). Young consumer-brand relationship building potential using digital marketing. European Journal of Marketing, 50(11), 1993–2017.10.1108/ejm-07-2015-0430
Cottle, D., & Kahn, L. (2014). Beef cattle production and trade. CSIRO.
Ding, M. J., Jie, F., Parton, K. A., & Matanda, M. J. (2014). Relationships between quality of information sharing and supply chain food quality in the Australian beef processing industry. The International Journal of Logistics Management. 10.1108/IJLM-07-2012-0057
Oliveira, T. E., de Freitas, D. S., Gianezini, M., Ruviaro, C. F., Zago, D., Mércio, T. Z., Dias, E. A., Lampert, V. N., & Barcellos, J. O. J. (2017). Agricultural land use change in the Brazilian Pampa Biome: The reduction of natural grasslands. Land use policy, 63, 394-400. https://doi.org/10.1016/j.landusepol.2017.02.010
Oliveira, T.E., Gianezini, M., Peripolli, V., & Barcellos, J. O. J. (2015) Alianças mercadológicas estratégicas e elementos de diferenciação na cadeia da carne bovina no brasil. Iberoamerican Journal of Strategic Management (IJSM), 14(2), 40-50.
Oliveira, T. E., & Freitas, D. S. (2017) Local beef production: what Rio Grande do Sul is waiting for? Revista em Agronegócio e Meio Ambiente, 10 (2), 312-341.
Freitas, D., Oliveira, T. E., & Gianezini, M. (2017) Consumer’s perception on beef sustainability in Porto Alegre, southern Brazil. Business Management Dynamics, 7 (2), 07-19.
Gerhardt, T. E., & Silveira, D. T. (2009). Métodos de pesquisa. Plageder.
Giacomazzi, C. M., Talamini, E., & Kindlein, L. (2017) Relevance of brands and beef quality differentials for the consumer at the time of purchase. Revista Brasileira de Zootecnia, 46 (4), 354-365. http://dx.doi.org/10.1590/S1806-92902017000400012
Gillespie, J., Sitienei, I., Bhandari, B., & Scaglia, G. (2016). Grass-fed beef: How is it marketed by US producers? International Food and Agribusiness Management Review, 19(2), 171-188. 10.22004/ag.econ.234961
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Análise multivariada de dados. Editora Bookman.
Hartemo, M. (2016). Email marketing in the era of the empowered consumer. Journal of Research in Interactive Marketing. 10(3), 212-230 https://doi.org/10.1108/JRIM-06-2015-0040
Henchion, M., McCarthy, M., Resconi, V. C., & Troy, D. (2014). Meat consumption: Trends and quality matters. Meat science, 98(3), 561-568. https://doi.org/10.1016/j.meatsci.2014.06.007
Horta, F. D. C., Eckhardt, O. H. O., Gameiro, A. H., & Moretti, A. D. S. A. (2010). Estratégias de sinalização da qualidade da carne suína ao consumidor final. Revista Brasileira de Agrociência, 16(1-4), 15-21.
IEL - Instituto Euvaldo Lodi; CNA - Confederação Nacional da Agricultura; SEBRAE Nacional - Serviço Brasileiro de Apoio às Micro e Pequenas Empresas. Estudo sobre a eficiência econômica e competitividade da cadeia agroindustrial da pecuária de corte no Brasil. IEL/CNA/SEBRAE, 2000.
Kotler, P., Kartajaya, H., & Setiawan, I. (2016) Marketing 4.0: Moving from traditional to digital. John Wiley & Sons.
Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment and behavior. Journal of consumer psychology, 22(3), 332-351.
Kumar, N., & Kapoor, S. (2017). Do labels influence purchase decisions of food products? Study of young consumers of an emerging market. British Food Journal, 119 (2), 218-229. https://doi.org/10.1108/BFJ-06-2016-0249
Lazzarini Neto, S., Lazzarini, S. G., & Pismel, F. S. (1996). Pecuária de corte: a nova realidade e perspectivas no agribusiness. São Paulo: SDF Editores.
Marconi, M. D. A., & Lakatos, E. M. (2003). Fundamentos de metodologia científica. Atlas.
Micheels, E. T., & Gow, H. R. (2015). The effect of market orientation on learning, innovativeness, and performance in primary agriculture. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 63(2), 209-233.
Mishra, N., & Singh, A. (2018). Use of twitter data for waste minimisation in beef supply chain. Annals of Operations Research, 270(1-2), 337-359.
Morales, L. E., Griffith, G., Wright, V., Fleming, E., Umberger, W., & Hoang, N. (2013). Variables affecting the propensity to buy branded beef among groups of Australian beef buyers. Meat science, 94(2), 239-246.
NEWCOM. Social media research 2020. Newcom's National Social Media survey, 2020. < https://www.newcom.nl/socialmedia2020 >.
Ortega, D. L., Hong, S. J., Wang, H. H., & Wu, L. (2016). Emerging markets for imported beef in China: Results from a consumer choice experiment in Beijing. Meat Science, 121, 317-323.10.1016/j.meatsci.2016.06.032
Smith, K. T. (2011). Digital marketing strategies that Millennials find appealing, motivating, or just annoying. Journal of Strategic marketing, 19(6), 489-499. https://doi.org/10.1080/0965254X.2011.581383
Stern, L. W., & El-Ansary, A. I. (1992). Consumer behavior: An information processing perspective.
Trienekens, J. H., Wognum, P. M., Beulens, A. J., & van der Vorst, J. G. (2012). Transparency in complex dynamic food supply chains. Advanced Engineering Informatics, 26(1), 55-65. https://doi.org/10.1016/j.aei.2011.07.007
Voorveld, H. A., van Noort, G., Muntinga, D. G., & Bronner, F. (2018). Engagement with social media and social media advertising: The differentiating role of platform type. Journal of advertising, 47(1), 38-54. https://doi.org/10.1080/00913367.2017.1405754
Wilkinson, J. (2010). Transformações e perspectivas dos agronegócios brasileiros. Revista Brasileira de Zootecnia, 39(Suppl.), 26-34. https://doi.org/10.1590/S1516-35982010001300004
Yadavalli, A., & Jones, K. (2014). Does media influence consumer demand? The case of lean finely textured beef in the United States. Food Policy, 49, 219-227. https://doi.org/10.1016/j.foodpol.2014.08.002
Żakowska-Biemans, S., Pieniak, Z., Gutkowska, K., Wierzbicki, J., Cieszyńska, K., Sajdakowska, M., & Kosicka-Gębska, M. (2017). Beef consumer segment profiles based on information source usage in Poland. Meat Science, 124, 105-113. https://doi.org/10.1016/j.meatsci.2016.11.001
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Copyright (c) 2022 Tamara Esteves de Oliveira; David Santos de Freitas; Tainá Machado Bartmann; Roderval Fernandes Cipriano; Miguelangelo Gianezini; Júlio Otávio Jardim Barcellos
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