Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach
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| Format: | Artículo científico |
| Language: | en |
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Universidade de São Paulo
2022
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| _version_ | 1876472808828043264 |
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| author | Monique Filassi |
| author_facet | Monique Filassi |
| contents | Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach Monique Filassi Andréa Leda Ramos de Oliveira Arun Abraham Elias Karina Braga Marsola Administración y Contabilidad Brazil Systems thinking Causal loop model Purpose – This study aims to analyze the complexities of the Brazilian soybean supply chain (SSC) anddevelop strategic interventions to improve the origin system’s performance.Design/methodology/approach – This study used stakeholder interviews to identify the SSCbottlenecks and determine and assess drivers of competitiveness. A methodological framework based on thesystems thinking approach for developing long-term structural changes was used. The problem wasstructured using behavior over time graph and causal loop modeling to propose three investment strategies tosolve the logistics problem in SSC.Findings – This study highlights the gaps in coordination between stakeholders and the public sectorregarding the public policy for infrastructure investment. Three strategic interventions were developed toaddress the agro-industrial logistical problem, namely, investment in storage, multimodal transport systemsand improvements in existing transport infrastructure. To overcome transport and storage logisticslimitations, the authors suggest different forms of partnerships, including public-private partnerships.Research limitations/implications – This research is limited to evaluating an agricultural commodity(soybean) and does not include its by-products. The sample of stakeholders was limited and the boundary of analysis was Brazil. Nevertheless, the study showed how strategic interventions could be developed followinga holistic analysis.Practical implications – The proposed integrated approach illustrates the development of three strategicinitiatives. It can be implemented by stakeholders, including the public sector, which is the basis for providingassertive long-term investments in Brazilian logistics.Social implications – The SSC analysis could promote the implementation of systemically determinedinterventions and strategies. It could significantly improve the performance of agricultural systems and helpthe formulation of public policies aimed at rural development.Originality/value – The use of system dynamics to identify intervention points is an essentialcontribution to mitigating the SSC’s hindrances. Moreover, the combining methodologies resulted incomprehensive intervention strategies. 2022 artículo científico 2531-0488 https://www.redalyc.org/articulo.oa?id=553871816005 https://www.redalyc.org/journal/5538/553871816005/ https://www.redalyc.org/journal/5538/553871816005/html/ https://www.redalyc.org/journal/5538/553871816005/553871816005.epub https://www.redalyc.org/journal/5538/553871816005/movil en http://www.redalyc.org/revista.oa?id=5538 RAUSP Management Journal application/pdf Universidade de São Paulo RAUSP Management Journal (Brasil) Num.3 Vol.57 |
| format | Artículo científico |
| id | redalyc_553871816005 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidade de São Paulo |
| spellingShingle | Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach Monique Filassi Administración y Contabilidad Brazil Systems thinking Causal loop model Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach Monique Filassi Andréa Leda Ramos de Oliveira Arun Abraham Elias Karina Braga Marsola Administración y Contabilidad Brazil Systems thinking Causal loop model Purpose – This study aims to analyze the complexities of the Brazilian soybean supply chain (SSC) anddevelop strategic interventions to improve the origin system’s performance.Design/methodology/approach – This study used stakeholder interviews to identify the SSCbottlenecks and determine and assess drivers of competitiveness. A methodological framework based on thesystems thinking approach for developing long-term structural changes was used. The problem wasstructured using behavior over time graph and causal loop modeling to propose three investment strategies tosolve the logistics problem in SSC.Findings – This study highlights the gaps in coordination between stakeholders and the public sectorregarding the public policy for infrastructure investment. Three strategic interventions were developed toaddress the agro-industrial logistical problem, namely, investment in storage, multimodal transport systemsand improvements in existing transport infrastructure. To overcome transport and storage logisticslimitations, the authors suggest different forms of partnerships, including public-private partnerships.Research limitations/implications – This research is limited to evaluating an agricultural commodity(soybean) and does not include its by-products. The sample of stakeholders was limited and the boundary of analysis was Brazil. Nevertheless, the study showed how strategic interventions could be developed followinga holistic analysis.Practical implications – The proposed integrated approach illustrates the development of three strategicinitiatives. It can be implemented by stakeholders, including the public sector, which is the basis for providingassertive long-term investments in Brazilian logistics.Social implications – The SSC analysis could promote the implementation of systemically determinedinterventions and strategies. It could significantly improve the performance of agricultural systems and helpthe formulation of public policies aimed at rural development.Originality/value – The use of system dynamics to identify intervention points is an essentialcontribution to mitigating the SSC’s hindrances. Moreover, the combining methodologies resulted incomprehensive intervention strategies. 2022 artículo científico 2531-0488 https://www.redalyc.org/articulo.oa?id=553871816005 https://www.redalyc.org/journal/5538/553871816005/ https://www.redalyc.org/journal/5538/553871816005/html/ https://www.redalyc.org/journal/5538/553871816005/553871816005.epub https://www.redalyc.org/journal/5538/553871816005/movil en http://www.redalyc.org/revista.oa?id=5538 RAUSP Management Journal application/pdf Universidade de São Paulo RAUSP Management Journal (Brasil) Num.3 Vol.57 |
| title | Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach |
| topic | Administración y Contabilidad Brazil Systems thinking Causal loop model |
| url | https://www.redalyc.org/articulo.oa?id=553871816005 https://www.redalyc.org/journal/5538/553871816005/ https://www.redalyc.org/journal/5538/553871816005/html/ https://www.redalyc.org/journal/5538/553871816005/553871816005.epub https://www.redalyc.org/journal/5538/553871816005/movil |