Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/156283 |
Resumo: | In this work project, foresight methodology was employed to develop scenarios aimed at improving X’s decision-making process. The project focuses on the globalization of grain trading companies and considers potential developments up until 2030. The scenarios were generated using the Intuitive-Logics School approach, and driving forces were identified through an analysis of the external environment using the STEEP framework and the clustering method. Key uncertainties were determined through a survey completed by X’s employees using Delphi statements. The results of this survey were used to develop four contrasting scenarios, which were then strategically analyzed to provide recommendations for X. The scenario of “Worldwide Meat” was formulated from the combination of the two key uncertainties, more specifically from the low extent of regionalization combined with a low acceptance of substitute and alternative products for animal protein. |
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Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meatForesightScenario planningBusiness strategyUncertaintyDriving forcesTradeAgrifoodGrainDomínio/Área Científica::Ciências Sociais::Economia e GestãoIn this work project, foresight methodology was employed to develop scenarios aimed at improving X’s decision-making process. The project focuses on the globalization of grain trading companies and considers potential developments up until 2030. The scenarios were generated using the Intuitive-Logics School approach, and driving forces were identified through an analysis of the external environment using the STEEP framework and the clustering method. Key uncertainties were determined through a survey completed by X’s employees using Delphi statements. The results of this survey were used to develop four contrasting scenarios, which were then strategically analyzed to provide recommendations for X. The scenario of “Worldwide Meat” was formulated from the combination of the two key uncertainties, more specifically from the low extent of regionalization combined with a low acceptance of substitute and alternative products for animal protein.Alvarenga, AntónioRUNAntunes, João Martins2023-01-162023-01-162026-01-16T00:00:00Z2023-01-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/156283TID:203312953enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:38:59Zoai:run.unl.pt:10362/156283Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:25.291108Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
title |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
spellingShingle |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat Antunes, João Martins Foresight Scenario planning Business strategy Uncertainty Driving forces Trade Agrifood Grain Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
title_full |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
title_fullStr |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
title_full_unstemmed |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
title_sort |
Scenarios for the future of the agrifood industry - strategic recommendations and future steps for acembex - the scenario of -worldwide meat |
author |
Antunes, João Martins |
author_facet |
Antunes, João Martins |
author_role |
author |
dc.contributor.none.fl_str_mv |
Alvarenga, António RUN |
dc.contributor.author.fl_str_mv |
Antunes, João Martins |
dc.subject.por.fl_str_mv |
Foresight Scenario planning Business strategy Uncertainty Driving forces Trade Agrifood Grain Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Foresight Scenario planning Business strategy Uncertainty Driving forces Trade Agrifood Grain Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
In this work project, foresight methodology was employed to develop scenarios aimed at improving X’s decision-making process. The project focuses on the globalization of grain trading companies and considers potential developments up until 2030. The scenarios were generated using the Intuitive-Logics School approach, and driving forces were identified through an analysis of the external environment using the STEEP framework and the clustering method. Key uncertainties were determined through a survey completed by X’s employees using Delphi statements. The results of this survey were used to develop four contrasting scenarios, which were then strategically analyzed to provide recommendations for X. The scenario of “Worldwide Meat” was formulated from the combination of the two key uncertainties, more specifically from the low extent of regionalization combined with a low acceptance of substitute and alternative products for animal protein. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-16 2023-01-16 2023-01-16T00:00:00Z 2026-01-16T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/156283 TID:203312953 |
url |
http://hdl.handle.net/10362/156283 |
identifier_str_mv |
TID:203312953 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138149757091840 |