Motivations for adoption of Business Analytics
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.7559/gestaoedesenvolvimento.2019.376 |
Resumo: | Business Analytics and Business Intelligence are an emerging trend in Management nowadays. However, despite the advantages perceived by some managers in the utilization of more predictive algorithms and tools, still exists some others that are more conservative about it. Moreover, the literature identifies some advantages and limitations regarding the adoption of Business Analytics, nonetheless does not exists information respecting the adoption in the Portuguese Market (Arasteh et al., 2011; Chen et al., 2012). Hence, the main goal of the study was to identify the reasons and motivations for the adoption of the Business Analytics in the Portuguese population. Thereby, in order to identify the acceptation determinants an exploratory study was carried based on a model suggested by Venkatesh et al., (2012), the Unified Theory of Acceptance and use of Technology (UTAUT). The database information was obtained through an online survey questionnaire, and the universe of the research was 102 answers, with 47,8% had been of masculine sex and 52,2% of the feminine one. Additionally, through a principal components analysis we could identify four acceptation determinants; the Performance Expectancy, the Effort Expectancy, the Facilitating Conditions and the Behavioral Condition Furthermore, using a classic regression analysis we were able to conclude that the motivations are depend on the hierarchical position of the individual and that the price does not influence the adoption as expected. However, the main conclusion was the identification of the lack of information of artificial intelligence as the main constraints. |
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Motivations for adoption of Business AnalyticsMotivações para adoção de Business AnalyticsBusiness Analytics and Business Intelligence are an emerging trend in Management nowadays. However, despite the advantages perceived by some managers in the utilization of more predictive algorithms and tools, still exists some others that are more conservative about it. Moreover, the literature identifies some advantages and limitations regarding the adoption of Business Analytics, nonetheless does not exists information respecting the adoption in the Portuguese Market (Arasteh et al., 2011; Chen et al., 2012). Hence, the main goal of the study was to identify the reasons and motivations for the adoption of the Business Analytics in the Portuguese population. Thereby, in order to identify the acceptation determinants an exploratory study was carried based on a model suggested by Venkatesh et al., (2012), the Unified Theory of Acceptance and use of Technology (UTAUT). The database information was obtained through an online survey questionnaire, and the universe of the research was 102 answers, with 47,8% had been of masculine sex and 52,2% of the feminine one. Additionally, through a principal components analysis we could identify four acceptation determinants; the Performance Expectancy, the Effort Expectancy, the Facilitating Conditions and the Behavioral Condition Furthermore, using a classic regression analysis we were able to conclude that the motivations are depend on the hierarchical position of the individual and that the price does not influence the adoption as expected. However, the main conclusion was the identification of the lack of information of artificial intelligence as the main constraints.Ainda que as novas formas de gestão já valorizem a adoção de ferramentas e algoritmos de análise de base de dados, estando, por sua vez, cada vez mais predispostas a utilizar análises em tempo real e preditivas, existe ainda alguma relutância por parte das gerações mais conservadoras para a sua adoção (Arasteh, Aliahmadi, Mahmoodi, & Mohammadpour, 2011; Chen, Chiang, & Storey, 2012). Por conseguinte, o propósito da investigação será identificar as motivações para a adoção do Business Analytics em Portugal. Para este efeito foi realizado um estudo exploratório tendo como base o modelo desenvolvido por Venkatesh, Thong, & Xu, (2012) a: Unified Theory of Acceptance and Use of Technology (UTAUT). O processo de recolha de dados foi realizado através de um inquérito por questionário online, cujo público alvo foi a população portuguesa. O total de respostas obtido foi de 102, sendo que sendo que 47,8% dos inquiridos se identificam como indivíduos do sexo Masculino e 52,2% como sendo do sexo Feminino. A análise de dados foi dividida em duas partes, numa primeira fase procurou-se identificar os determinantes de aceitação já pré identificados pela UTAUT, através de uma análise por componentes principais. Neste sentido, foi possível identificar quatro determinantes de aceitação: a Expectativa de Desempenho, a Expectativa de Esforço, as Condições Facilitadoras e a Intenção Comportamental. Na segunda parte procurou-se, através da utilização de modelo de regressão clássica, analisar as motivações na base da adoção do Business Analytics para cada um dos determinantes. A análise permitiu ainda concluir, que a adoção é fortemente influenciada pela posição hierárquica. Ademais, concluiu-se, ainda, que o preço e a expectativa do retorno do investimento não foram considerados os maiores impeditivos na adoção do Business Analytics. No entanto, verificou-se que o não conhecimento do conceito de inteligência artificial é um dos principais condicionantes à adoção.Universidade Católica Portuguesa2019-09-11T00:00:00Zjournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.7559/gestaoedesenvolvimento.2019.376oai:ojs.revistas.ucp.pt:article/376Gestão e Desenvolvimento; No 27 (2019); 99-117Gestão e Desenvolvimento; n. 27 (2019); 99-1172184-56380872-556X10.7559/gestaoedesenvolvimento.2019.n27reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://revistas.ucp.pt/index.php/gestaoedesenvolvimento/article/view/376https://doi.org/10.7559/gestaoedesenvolvimento.2019.376https://revistas.ucp.pt/index.php/gestaoedesenvolvimento/article/view/376/881Direitos de Autor (c) 2019 Joana Fernandes, António Andradehttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFernandes, JoanaAndrade, António2022-09-23T15:47:17Zoai:ojs.revistas.ucp.pt:article/376Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:04:36.342225Repositório 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 |
Motivations for adoption of Business Analytics Motivações para adoção de Business Analytics |
title |
Motivations for adoption of Business Analytics |
spellingShingle |
Motivations for adoption of Business Analytics Fernandes, Joana |
title_short |
Motivations for adoption of Business Analytics |
title_full |
Motivations for adoption of Business Analytics |
title_fullStr |
Motivations for adoption of Business Analytics |
title_full_unstemmed |
Motivations for adoption of Business Analytics |
title_sort |
Motivations for adoption of Business Analytics |
author |
Fernandes, Joana |
author_facet |
Fernandes, Joana Andrade, António |
author_role |
author |
author2 |
Andrade, António |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Fernandes, Joana Andrade, António |
description |
Business Analytics and Business Intelligence are an emerging trend in Management nowadays. However, despite the advantages perceived by some managers in the utilization of more predictive algorithms and tools, still exists some others that are more conservative about it. Moreover, the literature identifies some advantages and limitations regarding the adoption of Business Analytics, nonetheless does not exists information respecting the adoption in the Portuguese Market (Arasteh et al., 2011; Chen et al., 2012). Hence, the main goal of the study was to identify the reasons and motivations for the adoption of the Business Analytics in the Portuguese population. Thereby, in order to identify the acceptation determinants an exploratory study was carried based on a model suggested by Venkatesh et al., (2012), the Unified Theory of Acceptance and use of Technology (UTAUT). The database information was obtained through an online survey questionnaire, and the universe of the research was 102 answers, with 47,8% had been of masculine sex and 52,2% of the feminine one. Additionally, through a principal components analysis we could identify four acceptation determinants; the Performance Expectancy, the Effort Expectancy, the Facilitating Conditions and the Behavioral Condition Furthermore, using a classic regression analysis we were able to conclude that the motivations are depend on the hierarchical position of the individual and that the price does not influence the adoption as expected. However, the main conclusion was the identification of the lack of information of artificial intelligence as the main constraints. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-11T00:00:00Z |
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journal article info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.7559/gestaoedesenvolvimento.2019.376 oai:ojs.revistas.ucp.pt:article/376 |
url |
https://doi.org/10.7559/gestaoedesenvolvimento.2019.376 |
identifier_str_mv |
oai:ojs.revistas.ucp.pt:article/376 |
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https://revistas.ucp.pt/index.php/gestaoedesenvolvimento/article/view/376 https://doi.org/10.7559/gestaoedesenvolvimento.2019.376 https://revistas.ucp.pt/index.php/gestaoedesenvolvimento/article/view/376/881 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2019 Joana Fernandes, António Andrade http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2019 Joana Fernandes, António Andrade http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Católica Portuguesa |
publisher.none.fl_str_mv |
Universidade Católica Portuguesa |
dc.source.none.fl_str_mv |
Gestão e Desenvolvimento; No 27 (2019); 99-117 Gestão e Desenvolvimento; n. 27 (2019); 99-117 2184-5638 0872-556X 10.7559/gestaoedesenvolvimento.2019.n27 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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