Motivations for adoption of Business Analytics

Detalhes bibliográficos
Autor(a) principal: Fernandes, Joana
Data de Publicação: 2019
Outros Autores: Andrade, António
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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spelling 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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url https://doi.org/10.7559/gestaoedesenvolvimento.2019.376
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dc.relation.none.fl_str_mv 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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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
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