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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.
Apesar de a literatura já antecipar algumas motivações e desafios, não existe, ainda assim, informação específica sobre o mercado português ou a população portuguesa (Arasteh, Aliahmadi, Mahmoodi, & Mohammadpour, 2011; Chen, Chiang, & Storey, 2012).
Por conseguinte, o propósito da investigação será procurar identificar as motivações por detrás da adoção do Business Analytics na população portuguesa.
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).
A base de dados estudada foi obtida através da realização de um inquérito por questionário online, cujo público alvo foi a população portuguesa. O universo total de respostas foi de 102, sendo que 47,8% dos inquiridos se identificam como indivíduos do sexo Masculino e 52,2% como sendo do sexo Feminino.
A análise realizada permitiu a identificação de quatro determinantes de aceitação a Expectativa de Desempenho, Expectativa de Esforço, Condições Facilitadoras e a Intenção Comportamental.
Verificou-se também que as motivações por detrás da adoção do Business Analytics dependem principalmente da posição hierárquica em que a pessoa está inserida. Todavia, concluiu-se que o preço e a expectativa do retorno do investimento não são o maior impeditivo na adoção do Business Analytics. No entanto, a conclusão mais importante foi a identificação do não conhecimento e do medo da inteligência artificial como os principais condicionantes à adoção.
Business Analytics and Business Intelligence is 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 or about the Portuguese population (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, the analysis allowed the identification of four acceptation determinants; the Performance Expectancy, the Effort Expectancy, the Facilitating Conditions and the Behavioral Condition Furthermore, 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 and the fear of the artificial intelligence as the main constraints.
Business Analytics and Business Intelligence is 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 or about the Portuguese population (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, the analysis allowed the identification of four acceptation determinants; the Performance Expectancy, the Effort Expectancy, the Facilitating Conditions and the Behavioral Condition Furthermore, 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 and the fear of the artificial intelligence as the main constraints.
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Business Analytics Business intelligence UTAUT Expectativa de desempenho Expectativa de esforço Condições facilitadoras Intenção comportamental Performance expectancy Effort expectancy Facilitating conditions Behavioral conditions