Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/27879 |
Resumo: | Artificial intelligence (AI) and cognitive computing (CC) are different, which is why each technology has its advantages and disadvantages, depending on the task/operation that a business wants to optimize. Nowadays, it is easy to confuse both by simply associating CC with the widespread theme of AI. This way, companies that want to implement AI know that what they want, in most cases, are the features provided by CC. It is important in these situations to know how to differentiate them, so that it is possible to identify in which circumstance one is more suitable than another, to get more out of the benefits that each has to offer. This project focuses on highlighting the capabilities of both technologies, more specifically in business contexts in which the implementation of intelligent systems and the interest of companies in them is favourable. It also identifies which aspects of these technologies are most interesting for companies. Based on this information, it is evaluated whether these aspects are relevant in decision making. Data analysis is carried out by employing partial least squares structural equations modelling (PLS-SEM) and descriptive statistical techniques. |
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Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modelingArtificial intelligenceCognitive computingBusiness managementIntelligent systemsPartial least squares structural equations modellingArtificial intelligence (AI) and cognitive computing (CC) are different, which is why each technology has its advantages and disadvantages, depending on the task/operation that a business wants to optimize. Nowadays, it is easy to confuse both by simply associating CC with the widespread theme of AI. This way, companies that want to implement AI know that what they want, in most cases, are the features provided by CC. It is important in these situations to know how to differentiate them, so that it is possible to identify in which circumstance one is more suitable than another, to get more out of the benefits that each has to offer. This project focuses on highlighting the capabilities of both technologies, more specifically in business contexts in which the implementation of intelligent systems and the interest of companies in them is favourable. It also identifies which aspects of these technologies are most interesting for companies. Based on this information, it is evaluated whether these aspects are relevant in decision making. Data analysis is carried out by employing partial least squares structural equations modelling (PLS-SEM) and descriptive statistical techniques.MDPI2023-02-14T11:45:45Z2022-01-01T00:00:00Z20222023-02-14T11:44:23Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/27879eng2227-739010.3390/math10224358Lopes da Costa, R.Gupta, V.Gonçalves, R.Dias, Á.Pereira, L.Gupta, C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:33:24Zoai:repositorio.iscte-iul.pt:10071/27879Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:15:03.868025Repositório 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 |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
title |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
spellingShingle |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling Lopes da Costa, R. Artificial intelligence Cognitive computing Business management Intelligent systems Partial least squares structural equations modelling |
title_short |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
title_full |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
title_fullStr |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
title_full_unstemmed |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
title_sort |
Artificial intelligence and cognitive computing in companies in Portugal: An outcome of partial least squares—structural equations modeling |
author |
Lopes da Costa, R. |
author_facet |
Lopes da Costa, R. Gupta, V. Gonçalves, R. Dias, Á. Pereira, L. Gupta, C. |
author_role |
author |
author2 |
Gupta, V. Gonçalves, R. Dias, Á. Pereira, L. Gupta, C. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lopes da Costa, R. Gupta, V. Gonçalves, R. Dias, Á. Pereira, L. Gupta, C. |
dc.subject.por.fl_str_mv |
Artificial intelligence Cognitive computing Business management Intelligent systems Partial least squares structural equations modelling |
topic |
Artificial intelligence Cognitive computing Business management Intelligent systems Partial least squares structural equations modelling |
description |
Artificial intelligence (AI) and cognitive computing (CC) are different, which is why each technology has its advantages and disadvantages, depending on the task/operation that a business wants to optimize. Nowadays, it is easy to confuse both by simply associating CC with the widespread theme of AI. This way, companies that want to implement AI know that what they want, in most cases, are the features provided by CC. It is important in these situations to know how to differentiate them, so that it is possible to identify in which circumstance one is more suitable than another, to get more out of the benefits that each has to offer. This project focuses on highlighting the capabilities of both technologies, more specifically in business contexts in which the implementation of intelligent systems and the interest of companies in them is favourable. It also identifies which aspects of these technologies are most interesting for companies. Based on this information, it is evaluated whether these aspects are relevant in decision making. Data analysis is carried out by employing partial least squares structural equations modelling (PLS-SEM) and descriptive statistical techniques. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01T00:00:00Z 2022 2023-02-14T11:45:45Z 2023-02-14T11:44:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/27879 |
url |
http://hdl.handle.net/10071/27879 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2227-7390 10.3390/math10224358 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134708119896064 |