Driving regional development: an analysis of the decision making process and innovation in rice agribusinesses

Authors

DOI:

https://doi.org/10.17058/redes.v29i1.19027

Keywords:

Rice agroindustry, Regional development, Competitively, Innovation, Decision making

Abstract

The rice agro industry performs an important role in regional development, facing constant challenges in terms of competitiveness and innovation. The aim of this study is to propose integrated strategies for improving managerial decision making in agro industries in the rice sector. The study explored key factors such as productivity and infrastructural, financial and socio-economic aspects. Using a qualitative and quantitative methodological approach, the study combines a literature review, benchmarking visits to three rice agribusinesses of different sizes and the application of an instrument using a Likert scale to identify operational practices and challenges. The results indicate a significant correlation between these factors and effectiveness in the decision-making process, highlighting the importance of strategic management for innovation and development in the sector. In addition, they suggest the need for efficient decision-making approaches aligned with market demands, highlighting paths to sustainability and economic growth in the context of the rice sector, which facilitates the promotion of regional development.

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References

AKTAS, N.; DEMIREL, N. A hybrid framework for evaluating corporate sustainability using multi-criteria decision making Environment. Development and Sustainability, [s.l.], v. 23, p. 15591-15618, 2021. Disponível em: https://orcid.org/ 10.1007/s10668-021-01311-5. Acesso em: 20 dez. 2023.

ASSOCIAÇÃO BRASILEIRA DA INDÚSTRIA DO ARROZ (ABIARROZ). 2023. Disponível em: https://www.abiarroz.com.br/ . Acesso em: 31 ago. 2023.

BAJAN, B.; MRÓWCZYŃSKA-KAMIŃSKA, A. Carbon footprint and environmental performance of agribusiness production in selected countries around the world. Journal of Cleaner Production, [s.l.], v. 276, n. 3, e123389, 2020. Disponível em: http://dx.doi.org/10.1016/j.jclepro.2020.123389. Acesso em: 20 dez. 2023.

BITZER, V. C.; NDOU, O. P. Keeping up with rising quality demands? New institutional arrangements, upgrading and market access in the South African citrus industry. Quality and Innovation in Food Chains: Lessons and Insights from Africa, [s.l.], p. 141-1591, jan. 2016. Disponível em: https://www.academia.edu/105148395/7_Keeping_up_with_rising_quality_demands_New_institutional_arrangements_upgrading_and_market_access_in_the_South_African_citrus_industry. Acesso em: 20 dez. 2023.

CHOUSOU, C.; MATTAS, K. Assessing consumer attitudes and perceptions towards food authenticity. British Food Journal, [s.l.], n. 5, p. 1947-1961, 2019. Disponível em: http://dx.doi.org/10.1108/BFJ-03-2019-0177. Acesso em: 20 dez. 2023.

COMPANHIA NACIONAL DE ABASTECIMENTO (CONAB). Grãos: Safra 2021/22: 12º levantamento. Acompanhamento da Safra Brasileira, Brasília, v. 9, n. 12, p. 1-88, 2022. Disponível em: https://www.conab.gov.br/info-agro/safras/graos/boletim-da-safra-de-graos/item/download/49098_b2d232d2b5fbe4da1a15d9e457cde081. Acesso em: 20 dez. 2023.

COTEUR, I. et al. A framework for guiding sustainability assessment and on-farm strategic decision making. Environmental Impact Assessment Review, [s.l.], v. 60, p. 16-23, set. 2016. Disponível em: http://dx.doi.org/10.1016/j.eiar.2016.04.003. Acesso em: 20 dez. 2023.

DEPONTI, C. M. et al. Perfil e localização das agroindústrias familiares rurais nas regiões funcionais (RFS) de planejamento do Rio Grande do Sul. Revista Brasileira de Gestão e Desenvolvimento Regional, Taubaté, v. 18, n. 3, p. 3-16, 2022. Disponível em: https://www.rbgdr.net/revista/index.php/rbgdr/article/view/6592. Acesso em: 13 mar. 2023.

DUAN, S.; WIBOWO, S.; CHONG, J. A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness. Mathematics, [s.l.], v. 9, p. 1-16, 2021. Disponível em: https://doi.org/10.3390/math9080884. Acesso em: 20 dez. 2023.

FLESKENS, L.; DUARTE, F.; EICHER, I. A conceptual framework for the assessment of multiple functions of agro-ecosystems: A case study of Trás-os-Montes olive groves. Journal of Rural Studies, [s.l.], v. 25, n. 1, p. 141-155, 2009. Disponível em: http://dx.doi.org/doi:10.1016/j.jrurstud.2008.08.003. Acesso em: 20 dez. 2023.

FONTOURA, F. B. B. TENÓRIO, F. G.; ALLEBRANDT, S. L. Contexto histórico das formas de organização da produção: repercussões organizacionais e sociais. Redes, Santa Cruz do Sul, v. 28, n. 1, p. 1-18, jun. 2023. Disponível em: https://online.unisc.br/seer/index.php/redes/article/view/17928. Acesso em: 20 dez. 2023.

FONTOURA, F. B. B.; TENÓRIO, F. G. Desenvolvimento Organizacional Multidimensional: uma perspectiva crítica para os estudos organizacionais. Redes, Santa Cruz do Sul, v. 25, n. 2, p. 590-609, maio 2020. Disponível em: https://doi.org/10.17058/redes.v25i2.14549. Acesso em: 20 dez. 2023.

GARDAS, R. R. et al. A hybrid decision support system for analyzing challenges of the agricultural supplychain. Sustainable Production and Consumption, [s.l.], v. 18,p. 19-32, 2019. Disponível em: https://doi.org/10.1016/j.spc.2018.11.007. Acesso em: 20 dez. 2023.

GARIBA JÚNIOR, M. Um modelo de avaliação de cursos superiores de tecnologia baseado na ferramenta benchmarking. Tese (Doutorado em Engenharia de Produção) – Programa de Pós-Graduação em Engenharia de Produção, Universidade Federal de Santa Catarina, Florianópolis, 2005. Disponível em: https://repositorio.ufsc.br/bitstream/handle/123456789/102070/221785.pdf?sequence=1&isAllowed=y. Acesso em: 20 dez. 2023.

GARGOURI, E.; HAMMADI, S.; BORNE, P. A study of scheduling problem in agro-food manufacturing systems. Mathematics and Computers in Simulation, [s.l.], v. 60, n. 3-5, p. 277-291, 2002. Disponível em: https://doi.org/10.1016/S0378-4754(02)00020-4. Acesso em: 20 dez. 2023.

GILINSKY, A.; NEWTON, S.; EYLER, R. Are strategic orientations and managerial characteristics drivers of performance in the US wine industry? International Journal of Wine Business Research, [s.l.], v. 30, n. 1, p. 42-57, 2018. Disponível em: http://dx.doi.org/10.1108/IJWBR-08-2016-0029. Acesso em: 20 dez. 2023.

GOMEZ, J.; ARADROS, B.; SALAZAR, I. Entry Mode and Innovation Adoption of MNEs. The Effect of Cultural Distance and Country Development. Academy of Management, [s.l.], v. 2019, n. 1, e13562, 2019. Disponível em: http://dx.doi.org/10.5465/AMBPP.2019.13562abstract. Acesso em: 20 dez. 2023.

HO, G. W. K. Examining Perceptions and Attitudes: A Review of Likert-Type Scales Versus Q-Methodology. Western Journal of Nursing Research, [s.l.], v. 39, n. 5, p. 674-689, 2017.

INSTITUTO RIO-GRANDENSE DO ARROZ (IRGA). Arroz: o básico mais indispensável do dia a dia. Porto Alegre: IRGA, 2019. Disponível em: https://irga.rs.gov.br/upload/ arquivos/201910/17151854-cartilha-beneficios-do-arroz.pdf. Acesso em: 14 out. 2022.

KHEDRIGHARIBVAND, H. et al. Sustainable Rangeland Management in Southwest Iran: Understanding Changes in Experts’ Attitudes Toward Livelihood Alternatives. Rangeland Ecology & Management, [s.l.], v. 72, n. 3, p. 433-445, 2019. Disponível em: https://doi.org/10.1016/j.rama.2019.01.005. Acesso em: 20 dez. 2023.

LEAL P.; FLORES. P. Plus values & innovative behaviour in agricultural sector at Sinaloa state. Journal of Experimental Botany, [s.l.], v. 8, n. 3, p. 140-150, 2013.

LIZOT, M.; TROJAN, F.; AFONSO, P. Combining total cost of ownership and multi-criteria decision analysis to improve cost management in family farming. Agriculture (Switzerland), Switzerland, v. 11, n. 2, p. 1392021, jan. 2021. Disponível em: https://doi.org/10.3390/agriculture11020139. Acesso em: 20 dez. 2023.

MAIA, A. G. Econometria: conceitos e aplicações. São Paulo: UNICAMP, 2017.

MARGOLIS, J. et al. A multi-objective optimization model for designing resilient supply chain networks. International Journal of Production Economics, [s.l.], v. 204, p. 174-185, 2018. Disponível em: http://dx.doi.org/10.1016/j.ijpe.2018.06.008. Acesso em: 20 dez. 2023.

MAROCO, J. Análise Estatística: com utilização do SPSS. 2. ed. Lisboa: Edições Sílabo, 2003.

MINISTÉRIO DA AGRICULTURA, PECUÁRIA E ABASTECIMENTO (MAPA). Projeções do Agronegócio: BRASIL 2018/2019 a 2028/2029. Brasília: Secretaria de Política Agrícola, 2020. Disponível em: http://www.agricultura.gov.br/assuntos/ politica-agricola/todas-publicacoes-de-politica-agricola/projecoes-doagronegocio. Acesso em: 13 out. 2022.

MINISTÉRIO DA SAÚDE. Guia alimentar para a população brasileira. 2. ed. Brasília: Secretaria de Atenção à Saúde, 2014. Disponível em: https://bvsms.saude.gov.br/bvs/ publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf. Acesso em: 14 out. 2022.

MOREL, K.; LÉGER, F. A conceptual framework for alternative farmers' strategic choices: the case of French organic market gardening microfarms. Agroecology and Sustainable e Food Systems, [s.l.], v. 40, n. 5, p.466-492, 2016. Disponível em: https://doi.org/10.3390/su10093218. Acesso em: 20 dez. 2023.

NADJA, R. A. et al. Decision-making process to purchase brown rice at the traditional market. International Conference on Environmental Ecology of Food Security, [s.l.], v. 681, n. 1, 2021. Disponível em: http://dx.doi.org/10.1088/1755-1315/681/1/012096. Acesso em: 20 dez. 2023.

PEÑA-GONZÁLEZ, D. et al. An optimization approach for the design and planning of the oil palm supply chain in Colombia. Computers & Chemical Engineering, [s.l.], n. 143, mar. 2021. Disponível em: http://dx.doi.org/10.1016/j.compchemeng.2020.107208. Acesso em: 20 dez. 2023.

RECK, A.; SCHULTZ, G. Aplicação da metodologia multicritério de apoio à decisão no relacionamento interorganizacional na cadeia da avicultura de corte. Revista de Economia e Sociologia Rural, [s.l.], v. 54, n. 4, p. 709-728, 2016. Disponível em: https://doi.org/10.1590/1234-56781806-94790540407. Acesso em: 20 dez. 2023.

REMENOVA, K.; JANKELOVA, N. Decision-making style of agribusiness managers. Agricultural Economics (CzechRepublic), [s.l.], n. 65, p. 322-330, 2019. Disponível em: http://dx.doi.org/10.17221/289/2018-AGRICECON. Acesso em: 20 dez. 2023.

SANTOS, A. C. S.; PINTO, R. L. M. P. Aplicação da análise de correlação e regressão linear simples no setor sucroenergético brasileiro. Exacta, [s.l.], v. 16, n. 2, p. 155-167, 2018. Disponível em: https://doi.org/10.5585/exactaep.v16n2.7369. Acesso em: 20 dez. 2023.

SILVA, P.; BRISOLA, M. V. Análise do Perfil do Polo Agroindustrial do Distrito Federal e dos Distritos Agroindustriais de Rio Verde – GO, Brasil. Revista Espacios, [s.l.], v. 44, n. 4, p. 69-88, 2023.

SILVA, A.; GAZOLLA, M. Agroindústrias rurais e o desenvolvimento regional: uma análise comparativa entre os estados da Região Sul do Brasil. Revista do Desenvolvimento Regional, Taquara, v. 18, n. 4, p. 231-255, 2021. Disponível em: https://seer.faccat.br/index.php/coloquio/article/view/2216. Acesso em: 13 mar. 2024.

SPEARMAN, C. The Proof and Measurement of Association between Two Things. American Journal of Psychology, [s.l.], v. 15, p. 72-101, 1904. Disponível em: https://gwern.net/doc/psychology/1904-spearman.pdf. Acesso em: 13 mar. 2024.

SWAMI, D.; PARTHASARITY, D. A multidimensional perspective to farmers’ decision making determines the adaptation of the farming community. Journal of Environmental Management, [s.l.], v. 264, jun. 2020. Disponível em: https://doi.org/10.1016/j.jenvman.2020.110487. Acesso em: 20 dez. 2023.

VERSIANI, A. F. et al. A require disolation index to support the health system during the pandemic of Covid-19 in Minas Gerais, Brazil. IEEE Latin America Transactions, [s.l.], v. 19, n. 6, p. 961-969, jun. 2021. Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/4358. Acesso em: 20 dez. 2023.

YIN, R. Case study research: design and methods. 5. ed. Thousand Oaks: Sage Publishing, 2014.

ZHEVORA, S. V.; TULCHEEV, V.; BORISOV, M. Innovations and Perspective Technologies in the Potato and Vegetable Subcomplex of the Agro-Industrial Complex in Russia. In: BOGOVIZ, A. Z. (ed.). The Challenge of Sustainability in Agricultural Systems. London: Springer, 2021. n.p. Disponível em: http://dx.doi.org/10.1007/978-3-030-44703-8_55. Acesso em: 20 dez. 2023.

Published

2024-05-24

How to Cite

Neuenfeld Júnior, A. L., & Rocha Lhamby, A. (2024). Driving regional development: an analysis of the decision making process and innovation in rice agribusinesses. Redes , 29(1). https://doi.org/10.17058/redes.v29i1.19027

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