Logo do repositório
 
Publicação

What is the next chapter in the food retail industry in Portugal up to 2030, and what are the strategic options that should be considered for strategy formulation? - using Ai-powered solutions to improve the customer experience in the food retail industry

2022-01-17Dissertação de mestrado Acesso aberto
Ver registo simples
datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorLobo, João Silveira
dc.contributor.authorCosta, Marisa David da
dc.date.accessioned2022-06-01T07:51:04Z
dc.date.available2022-06-01T07:51:04Z
dc.date.issued2022-01-17
dc.date.submitted2021-12-17
dc.description.abstractThis work project explores how the organized food retail chains, and the customer journey will change in Portugal until2030. Therefore, the transactional and contextual environments were analyzed to determine the drivers of change in this industry. To create four plausible, relevant, and independent scenarios, two critical uncertainties were chosen based on the impact and uncertainty level of each driver. Finally, strategic recommendations over three-time horizons were provided. Further more, as Artificial Intelligence is profoundly shaping the industry, four AI-powered solutions that might enhance the Customer Experience in the physical grocery stores by addressing the shopper's primary pain points were scrutinized.pt_PT
dc.identifier.tid202998592pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/139139
dc.language.isoengpt_PT
dc.relationNova School of Business and Economics
dc.subjectStrategypt_PT
dc.subjectForesightpt_PT
dc.subjectScenariospt_PT
dc.subjectPortugalpt_PT
dc.subjectCustomer experiencept_PT
dc.subjectArtificial intelligencept_PT
dc.subjectFood retail industrypt_PT
dc.titleWhat is the next chapter in the food retail industry in Portugal up to 2030, and what are the strategic options that should be considered for strategy formulation? - using Ai-powered solutions to improve the customer experience in the food retail industrypt_PT
dc.typemaster thesis
dspace.entity.typePublication
oaire.awardNumberUID/ECO/00124/2013
oaire.awardTitleNova School of Business and Economics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
relation.isProjectOfPublication644a3f4f-817b-4d0d-aba6-f98cdca28bc7
relation.isProjectOfPublication.latestForDiscovery644a3f4f-817b-4d0d-aba6-f98cdca28bc7
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economicspt_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
2021-2022_fall_44851_marisacosta.pdf
Tamanho:
15.59 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

NSBE - MA Dissertations