DECISION-MAKING FOR EFFICIENCY AND INNOVATION IN THE RICE PRODUCTION CHAIN
Visualizações: 192DOI:
https://doi.org/10.56579/rei.v5i7.985Keywords:
Rice Cultivation Sector, Agribusiness, Decision Making, Competitiveness, Performance MeasurementAbstract
The main objective of this article is to conduct a systematic review within the rice sector's agri-business productive chain, focusing on aspects related to the decision-making process, innovation environments, competitiveness, and methodologies for measuring performance and differentiation. The article emphasizes the importance of the agribusiness and the need for a systemic approach to addressing challenges encountered within the production chain. It highlights that pursuing competitiveness can lead to reducing production costs and adding value, and gaining competitive advantages through differentiation strategies. Within the context of the rice sector, the significance of rice is highlighted as one of the most widely cultivated cereals globally, with significant social, economic, and environmental impacts. However, fluctuations in global rice prices can result in undesirable effects. Therefore, new strategies are needed to add value to products and expand consumption beyond the conventional markets.Given this context, the article contributes to the literature by identifying the decision-making processes applied in these agroindustries, as well as addressing aspects related to innovation environments, competitiveness, and methodologies for measuring performance and differentiation.
Downloads
References
AKTAŞ, N.; DEMIREL, N. A hybrid framework for evaluating corporate sustainability using multi-criteria decision making. Environment, Development and Sustainability, [s. l.], v. 23, n. 10, p. 15591–15618, 2021. Disponível em: https://doi.org/10.1007/s10668-021-01311-5. DOI: https://doi.org/10.1007/s10668-021-01311-5
ALBISHRI, Dalal Yousuf; SUNDARAKANI, Balan; GOMISEK, Bostjan. An empirical study of relationships between goal alignment, centralised decision-making, commitment to networking and supply chain effectiveness using structural equation modelling. International Journal of Logistics Research and Applications, [s. l.], v. 23, n. 4, p. 390–415, 2020. Disponível em: https://doi.org/10.1080/13675567.2019.1700219. DOI: https://doi.org/10.1080/13675567.2019.1700219
BAJAN, Bartłomiej; MRÓWCZYŃSKA-KAMIŃSKA, Aldona. Carbon footprint and environmental performance of agribusiness production in selected countries around the world. Journal of Cleaner Production, [s. l.], v. 276, p. 123389, 2020. Disponível em: https://www.sciencedirect.com/science/article/pii/S095965262033434X. DOI: https://doi.org/10.1016/j.jclepro.2020.123389
BENGTSSON, JANNE; AHNSTRÖM, JOHAN; WEIBULL, ANN-CHRISTIN. The effects of organic agriculture on biodiversity and abundance: a meta‐analysis. Journal of Applied Ecology, [s. l.], v. 42, n. 2, p. 261–269, 2005. Disponível em: https://doi.org/10.1111/j.1365-2664.2005.01005.x. DOI: https://doi.org/10.1111/j.1365-2664.2005.01005.x
BIJMAN, J.; BITZER, V. Quality and innovation in food chains. [S. l.]: Brill | Wageningen Academic, 2016. E-book. Disponível em: https://brill.com/view/title/68719. DOI: https://doi.org/10.3920/978-90-8686-825-4
BIOLCHINI, Jorge Calmon de Almeida et al. Scientific research ontology to support systematic review in software engineering. Advanced Engineering Informatics, [s. l.], v. 21, n. 2, p. 133–151, 2007. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S147403460600070X. DOI: https://doi.org/10.1016/j.aei.2006.11.006
BRENES, Esteban R; CIRAVEGNA, Luciano; ACUÑA, Joseph. Differentiation strategies in agribusiness – A configurational approach. Journal of Business Research, [s. l.], v. 119, p. 522–539, 2020. Disponível em: https://www.sciencedirect.com/science/article/pii/S014829632030504X. DOI: https://doi.org/10.1016/j.jbusres.2020.07.048
BRIONES PEÑALVER, Antonio Juan; BERNAL CONESA, Juan Andrés; DE NIEVES NIETO, Carmen. Analysis of Corporate Social Responsibility in Spanish Agribusiness and Its Influence on Innovation and Performance. Corporate Social Responsibility and Environmental Management, [s. l.], v. 25, n. 2, p. 182–193, 2018. Disponível em: https://doi.org/10.1002/csr.1448. DOI: https://doi.org/10.1002/csr.1448
CANKURT, Murat et al. Consumer decision-making styles: Investigation of food shopping behavior. Journal of Food, Agriculture and Environment, [s. l.], v. 11, p. 224–227, 2013.
CHILDS, Nathan. Rice Outlook. [S. l.]: U.S. Department of Agriculture, Economic Research Service, 2021. Disponível em: https://www.ers.usda.gov/webdocs/outlooks/100237/rcs-21a.pdf?v=9463.9.
CHOUSOU, Charoula; MATTAS, Konstadinos. Assessing consumer attitudes and perceptions towards food authenticity. British Food Journal, [s. l.], v. 123, n. 5, p. 1947–1961, 2021. Disponível em: https://doi.org/10.1108/BFJ-03-2019-0177. DOI: https://doi.org/10.1108/BFJ-03-2019-0177
COTEUR, Ine 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, 2016. Disponível em: https://www.sciencedirect.com/science/article/pii/S0195925516301081. DOI: https://doi.org/10.1016/j.eiar.2016.04.003
DE PONTI, Tomek; RIJK, Bert; VAN ITTERSUM, Martin K. The crop yield gap between organic and conventional agriculture. Agricultural Systems, [s. l.], v. 108, p. 1–9, 2012. Disponível em: https://www.sciencedirect.com/science/article/pii/S0308521X1100182X. DOI: https://doi.org/10.1016/j.agsy.2011.12.004
DEWI ORYZA SATIVA, Rima; TARIK IBRAHIM, Jabal; SUTAWI, Sutawi. Analysis of Taking Decision of Farmers in Choosing Rice Cultivars: Case of Pakel District, Tulungagung, Indonesia. E3S Web of Conferences, [s. l.], v. 226, p. 00037, 2021. Disponível em: https://www.e3s-conferences.org/10.1051/e3sconf/202122600037. DOI: https://doi.org/10.1051/e3sconf/202122600037
DUAN, Sophia X; WIBOWO, Santoso; CHONG, Josephine. A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness. [S. l.: s. n.], 2021. DOI: https://doi.org/10.3390/math9080884
ETUMNU, Chinonso; GRAY, Allan W. A Clustering Approach to Understanding Farmers’ Success Strategies. Journal of Agricultural and Applied Economics, [s. l.], v. 52, n. 3, p. 335–351, 2020. Disponível em: https://www.cambridge.org/core/article/clustering-approach-to-understanding-farmers-success-strategies/BB6684367D0109AEE4CBE05F5C2BC156. DOI: https://doi.org/10.1017/aae.2020.4
FLESKENS, Luuk; DUARTE, Filomena; EICHER, Irmgard. 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: https://www.sciencedirect.com/science/article/pii/S0743016708000600. DOI: https://doi.org/10.1016/j.jrurstud.2008.08.003
FLORES LEAL, Pedro; SOTO FLORES, María del Rocio. El Comportamiento Innovador en Valor Agregado del Sector Agrícola en el Estado de Sinaloa. Journal of technology management & innovation, [s. l.], v. 8, p. 42, 2013. DOI: https://doi.org/10.4067/S0718-27242013000300042
FOLINAS, Dimitris. A conceptual framework for business intelligence based on activities monitoring systems. International Journal of Intelligent Enterprise, [s. l.], v. 1, n. 1, p. 65, 2007. Disponível em: http://www.inderscience.com/link.php?id=13811. DOI: https://doi.org/10.1504/IJIE.2007.013811
GARDAS, Bhaskar B et al. A hybrid decision support system for analyzing challenges of the agricultural supply chain. Sustainable Production and Consumption, [s. l.], v. 18, p. 19–32, 2019. Disponível em: https://www.sciencedirect.com/science/article/pii/S2352550918303129. DOI: https://doi.org/10.1016/j.spc.2018.11.007
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, p. 277–291, 2002. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378475402000204. DOI: https://doi.org/10.1016/S0378-4754(02)00020-4
GEISSDOERFER, Martin et al. The Circular Economy – A new sustainability paradigm?. Journal of Cleaner Production, [s. l.], v. 143, p. 757–768, 2017. Disponível em: https://www.sciencedirect.com/science/article/pii/S0959652616321023. DOI: https://doi.org/10.1016/j.jclepro.2016.12.048
GHISELLINI, Patrizia; CIALANI, Catia; ULGIATI, Sergio. A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, [s. l.], v. 114, p. 11–32, 2016. Disponível em: https://www.sciencedirect.com/science/article/pii/S0959652615012287. DOI: https://doi.org/10.1016/j.jclepro.2015.09.007
GILINSKY, Armand; NEWTON, Sandra; EYLER, Robert. 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: https://doi.org/10.1108/IJWBR-08-2016-0029. DOI: https://doi.org/10.1108/IJWBR-08-2016-0029
GUO, Shaodong et al. Effects of agricultural waste-based conditioner on ultrasonic-aided activated sludge dewatering. RSC Advances, [s. l.], v. 5, n. 54, p. 43065–43073, 2015. Disponível em: http://xlink.rsc.org/?DOI=C5RA05743D. DOI: https://doi.org/10.1039/C5RA05743D
KASHAPOV, N F et al. Comparative evaluation of different machines for seedbed for sorghum. IOP Conference Series: Materials Science and Engineering, [s. l.], v. 240, p. 012033, 2017. Disponível em: https://iopscience.iop.org/article/10.1088/1757-899X/240/1/012033. DOI: https://doi.org/10.1088/1757-899X/240/1/012033
KHEDRIGHARIBVAND, Hojatollah 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://www.sciencedirect.com/science/article/pii/S1550742418301118. DOI: https://doi.org/10.1016/j.rama.2019.01.005
KITCHENHAM, Barbara. Procedures for Performing Systematic Reviews. [S. l.]: Technical Report TR/SE-0401 and National ICT Australia Ltd, 2004.
KLINE, Stephen J; ROSENBERG, Nathan. An Overview of Innovation. In: STUDIES ON SCIENCE AND THE INNOVATION PROCESS. [S. l.]: WORLD SCIENTIFIC, 2009. p. 173–203. DOI: https://doi.org/10.1142/9789814273596_0009
LEZOCHE, Mario et al. Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, [s. l.], v. 117, p. 103187, 2020. Disponível em: https://www.sciencedirect.com/science/article/pii/S0166361519307584. DOI: https://doi.org/10.1016/j.compind.2020.103187
LIU, Hong-mei et al. Construction and Verification of a Mathematical Model for Near-Infrared Spectroscopy Analysis of Gel Consistency in Southern Indica Rice. Spectroscopy and Spectral Analysis, [s. l.], v. 41, n. 8, p. 2432, 2021.
LIZOT, Mauro et al. Application of a model of management of costs for decision making in family agribusiness. Custos e Agronegócio Online, [s. l.], v. 14, p. 219–313, 2018.
LIZOT, Mauro; TROJAN, Flavio; AFONSO, Paulo. Combining Total Cost of Ownership and Multi-Criteria Decision Analysis to Improve Cost Management in Family Farming. [S. l.: s. n.], 2021. DOI: https://doi.org/10.3390/agriculture11020139
MANNINEN, Kaisa et al. Do circular economy business models capture intended environmental value propositions?. Journal of Cleaner Production, [s. l.], v. 171, p. 413–422, 2018. Disponível em: https://www.sciencedirect.com/science/article/pii/S0959652617322965. DOI: https://doi.org/10.1016/j.jclepro.2017.10.003
MAO, Hui et al. Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China. Land Use Policy, [s. l.], v. 109, p. 105627, 2021. Disponível em: https://www.sciencedirect.com/science/article/pii/S0264837721003501. DOI: https://doi.org/10.1016/j.landusepol.2021.105627
MARGOLIS, Joshua T 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: https://www.sciencedirect.com/science/article/pii/S0925527318302524. DOI: https://doi.org/10.1016/j.ijpe.2018.06.008
MIRANDA, Bruno Varella; MONTEIRO, Guilherme Fowler A; RODRIGUES, Vinicius Picanço. Circular agri-food systems: A governance perspective for the analysis of sustainable agri-food value chains. Technological Forecasting and Social Change, [s. l.], v. 170, p. 120878, 2021. Disponível em: https://www.sciencedirect.com/science/article/pii/S0040162521003103. DOI: https://doi.org/10.1016/j.techfore.2021.120878
MOREL, Kevin; LÉGER, François. A conceptual framework for alternative farmers’ strategic choices: the case of French organic market gardening microfarms. Agroecology and Sustainable Food Systems, [s. l.], v. 40, n. 5, p. 466–492, 2016. Disponível em: https://doi.org/10.1080/21683565.2016.1140695. DOI: https://doi.org/10.1080/21683565.2016.1140695
MORENO GARCÍA, Roberto R et al. Assessing the sustainability of rice production in Brazil and Cuba. Journal of Agriculture and Food Research, [s. l.], v. 4, p. 100152, 2021. Disponível em: https://www.sciencedirect.com/science/article/pii/S2666154321000545. DOI: https://doi.org/10.1016/j.jafr.2021.100152
MOTIA, Sanjay; REDDY, S R N. Application of TOPSIS method in selection of design attributes of decision support system for fertilizer recommendation. Journal of Information and Optimization Sciences, [s. l.], v. 41, n. 7, p. 1689–1704, 2020. Disponível em: https://doi.org/10.1080/02522667.2020.1799513. DOI: https://doi.org/10.1080/02522667.2020.1799513
NADJA, R A et al. Decision-making process to purchase brown rice at the traditional market. IOP Conference Series: Earth and Environmental Science, [s. l.], v. 681, n. 1, p. 012096, 2021. Disponível em: https://iopscience.iop.org/article/10.1088/1755-1315/681/1/012096. DOI: https://doi.org/10.1088/1755-1315/681/1/012096
NINGSIH, R D et al. The Growth and productivity enhancement of rice by jajar legowo (double row) planting method in freshwater swampland. IOP Conference Series: Earth and Environmental Science, [s. l.], v. 807, n. 4, p. 042025, 2021. Disponível em: https://iopscience.iop.org/article/10.1088/1755-1315/807/4/042025. DOI: https://doi.org/10.1088/1755-1315/807/4/042025
OKPALA, Charles Odilichukwu R.; KORZENIOWSKA, Małgorzata. Concept, Content, and Context Perspectives of Quality of Agrofood Products: Reflections on Some Consumer Decision-Making-Purchase Scenarios. Frontiers in Nutrition, [s. l.], v. 7, 2020. Disponível em: https://www.frontiersin.org/articles/10.3389/fnut.2020.578941/full. DOI: https://doi.org/10.3389/fnut.2020.578941
ORLANDO, Francesca et al. Participatory approach for developing knowledge on organic rice farming: Management strategies and productive performance. Agricultural Systems, [s. l.], v. 178, p. 102739, 2020. Disponível em: https://www.sciencedirect.com/science/article/pii/S0308521X18312241. DOI: https://doi.org/10.1016/j.agsy.2019.102739
PARAGINSKI, Ana Laura. A natureza das inovações em agroindústrias de arroz do rio grande do sul. INMR - Innovation & Management Review, [s. l.], v. 11, n. 1 SE-, p. 55–72, 2014. Disponível em: https://www.revistas.usp.br/rai/article/view/79899. DOI: https://doi.org/10.5773/rai.v11i1.1053
PEÑA GONZÁLEZ, Darwin et al. An optimization approach for the design and planning of the oil palm supply chain in Colombia. Computers & Chemical Engineering, [s. l.], v. 146, p. 107208, 2021. Disponível em: https://www.sciencedirect.com/science/article/pii/S0098135420312515. DOI: https://doi.org/10.1016/j.compchemeng.2020.107208
PORTO, Roberto Torrado; SILI, Marcelo Enrique. Toma de decisiones y gestión productiva en el sector agropecuario del Noreste de La Pampa (Argentina). [S. l.]: scielo , 2020. DOI: https://doi.org/10.1590/1806-9479.2020.198357
PRANCKUTĖ, Raminta. Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World. Publications, [s. l.], v. 9, n. 1, p. 12, 2021. Disponível em: https://www.mdpi.com/2304-6775/9/1/12. DOI: https://doi.org/10.3390/publications9010012
QUINN, John E; BRANDLE, James R; JOHNSON, Ron J. A farm-scale biodiversity and ecosystem services assessment tool: the healthy farm index. International Journal of Agricultural Sustainability, [s. l.], v. 11, n. 2, p. 176–192, 2013. Disponível em: https://doi.org/10.1080/14735903.2012.726854. DOI: https://doi.org/10.1080/14735903.2012.726854
RECK, Ângelo Brambila; SCHULTZ, Glauco. Aplicação da Metodologia Multicritério de Apoio à Decisão no Relacionamento Interorganizacional na Cadeia da Avicultura de Corte. [S. l.]: scielo , 2016. DOI: https://doi.org/10.1590/1234-56781806-94790540407
REMENOVA, Katarina; JANKELOVA, Nadezda. Decision-making style of agribusiness managers. Agricultural Economics, [s. l.], v. 65, n. 7, p. 322–330, 2019. Disponível em: https://agricecon.agriculturejournals.cz/artkey/age-201907-0004.php. DOI: https://doi.org/10.17221/289/2018-AGRICECON
SAFRIYANA et al. An Analysis and Design of Downstreaming Decision System on Palm Oil Agroindustry Based on Multilabel Classification. In: , 2018. 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS). [S. l.: s. n.], 2018. p. 247–252. DOI: https://doi.org/10.1109/ICACSIS.2018.8618185
SANTOS, Fernanda Ferreira dos et al. Proposta para estudo das cadeias agroalimentares curtas: aplicação na ovinocultura leiteira no Brasil. Revista em Agronegócio e Meio Ambiente, [s. l.], v. 14, n. 3, p. 1–21, 2021. Disponível em: https://periodicos.unicesumar.edu.br/index.php/rama/article/view/7205. DOI: https://doi.org/10.17765/2176-9168.2021v14n3e7205
SARWOSRI, Arieska Wening; MUSSHOFF, Oliver. Are Risk Attitudes and Time Preferences Crucial Factors for Crop Diversification by Smallholder Farmers?. Journal of International Development, [s. l.], v. 32, n. 6, p. 922–942, 2020. Disponível em: https://doi.org/10.1002/jid.3483. DOI: https://doi.org/10.1002/jid.3483
SAVCHENKO, Y Y et al. The trend for environmental engineering in agribusiness: leaders and prospects. IOP Conference Series: Materials Science and Engineering, [s. l.], v. 734, n. 1, p. 12187, 2020. Disponível em: https://dx.doi.org/10.1088/1757-899X/734/1/012187. DOI: https://doi.org/10.1088/1757-899X/734/1/012187
SHENNAN, Carol et al. Organic and Conventional Agriculture: A Useful Framing?. Annual Review of Environment and Resources, [s. l.], v. 42, n. 1, p. 317–346, 2017. Disponível em: https://doi.org/10.1146/annurev-environ-110615-085750. DOI: https://doi.org/10.1146/annurev-environ-110615-085750
SILVA JÚNIOR, Claudio Roberto et al. Evolution of start-up investments: An overview and future research directions. International Journal of Business Innovation and Research, [s. l.], v. 1, n. 1, p. 1, 2022b. DOI: https://doi.org/10.1504/IJBIR.2022.10049598
SILVA JÚNIOR, Claudio R et al.Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm. [S. l.: s. n.], 2023. DOI: https://doi.org/10.3390/risks11100177
SILVA JÚNIOR, Claudio Roberto et al. Overview of the factors that influence the competitiveness of startups: a systematized literature review. Gestão & Produção, [s. l.], v. 29, p. 1–23, 2022a. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100225&tlng=en. DOI: https://doi.org/10.1590/1806-9649-2022v29e13921
SOMSONG, Pimpinan; MCNALLY, Regina C; HSIEH, Chi-Ming. Consumers’ perceptions towards Thai rice. British Food Journal, [s. l.], v. 122, n. 1, p. 151–169, 2020. Disponível em: https://doi.org/10.1108/BFJ-01-2019-0040. DOI: https://doi.org/10.1108/BFJ-01-2019-0040
SRINIVASA RAO, Ch. et al. Agro-ecosystem based sustainability indicators for climate resilient agriculture in India: A conceptual framework. Ecological Indicators, [s. l.], v. 105, p. 621–633, 2019. Disponível em: https://www.sciencedirect.com/science/article/pii/S1470160X18304783. DOI: https://doi.org/10.1016/j.ecolind.2018.06.038
STØRDAL, Ståle; LIEN, Gudbrand; BAARDSEN, Sjur. Analyzing determinants of forest owners’ decision-making using a sample selection framework. Journal of Forest Economics, [s. l.], v. 14, n. 3, p. 159–176, 2008. DOI: https://doi.org/10.1016/j.jfe.2007.07.001
SWAMI, Deepika; PARTHASARATHY, Devanathan. A multidimensional perspective to farmers’ decision making determines the adaptation of the farming community. Journal of Environmental Management, [s. l.], v. 264, p. 110487, 2020. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S0301479720304217. DOI: https://doi.org/10.1016/j.jenvman.2020.110487
THEOCHAROPOULOS, A; MELFOU, Katerina; PAPANAGIOTOU, E. Analysis of decision making process for the adoption of sustainable farming systems: The case of peach farmers in Greece. American-Eurasian Journal of Sustainable Agriculture, [s. l.], v. 6, p. 24–32, 2012.
THOMAS, Terrence; GÜNDEN, Cihat; GRAY, Benjamin. Consumer decision-making styles in food purchase. Agro Food Industry Hi-Tech, [s. l.], v. 24, p. 27–30, 2013.
VALKENBURG, Govert et al. Responsible innovation as empowering ways of knowing. Journal of Responsible Innovation, [s. l.], v. 7, n. 1, p. 6–25, 2020. Disponível em: https://doi.org/10.1080/23299460.2019.1647087. DOI: https://doi.org/10.1080/23299460.2019.1647087
VERSIANI, Alice F et al. A required isolation 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 SE-Special Issue on Fighting against COVID-19, p. 961–969, 2021. Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/4358. DOI: https://doi.org/10.1109/TLA.2021.9451241
VLACHOPOULOU, Maro et al. Analyzing AgriFood-Tech e-Business Models. Sustainability, [s. l.], v. 13, n. 10, p. 5516, 2021. Disponível em: https://www.mdpi.com/2071-1050/13/10/5516. DOI: https://doi.org/10.3390/su13105516
WEDDAGALA, W.M.T.B. et al. Crowd sourcing for value chain management: a case of market decision support system in Sri Lankan agriculture market. In: , 2020. Acta Horticulturae. [S. l.]: International Society for Horticultural Science (ISHS), Leuven, Belgium, 2020. p. 173–178. Disponível em: https://doi.org/10.17660/ActaHortic.2020.1278.26. DOI: https://doi.org/10.17660/ActaHortic.2020.1278.26
WICHER, Pavel; ZAPLETAL, František; LENORT, Radim. Sustainability performance assessment of industrial corporation using Fuzzy Analytic Network Process. Journal of Cleaner Production, [s. l.], v. 241, p. 118132, 2019. Disponível em: https://www.sciencedirect.com/science/article/pii/S0959652619330021. DOI: https://doi.org/10.1016/j.jclepro.2019.118132
ZHEVORA, Sergey V; TULCHEEV, Vladimir V; BORISOV, Maxim Yu. Innovations and Perspective Technologies in the Potato and Vegetable Subcomplex of the Agro-Industrial Complex in Russia. In: BOGOVIZ, Aleksei V (org.). Lecture Notes in Networks and Systems, vol 205. Cham: Springer International Publishing, 2021. p. 65–72. E-book. Disponível em: https://doi.org/10.1007/978-3-030-73097-0_9. DOI: https://doi.org/10.1007/978-3-030-73097-0_9
ZOUAGHI, Ferdaous; SÁNCHEZ, Mercedes. Has the global financial crisis had different effects on innovation performance in the agri-food sector by comparison to the rest of the economy?. Trends in Food Science & Technology, [s. l.], v. 50, p. 230–242, 2016. Disponível em: https://www.sciencedirect.com/science/article/pii/S0924224416000170. DOI: https://doi.org/10.1016/j.tifs.2016.01.014
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Interdisciplinary Studies Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Journal of Interdisciplinary Studies adopts the Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows for sharing and adapting the work, including for commercial purposes, provided proper attribution is given and the original publication in this journal is acknowledged.
