Motivações para adoção de business analytics

Translated title of the contribution: Motivations for adoption of business analytics

Joana Fernandes, António Andrade

Research output: Contribution to journalArticlepeer-review

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Abstract

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.
Translated title of the contributionMotivations for adoption of business analytics
Original languagePortuguese
Pages (from-to)99-117
Number of pages19
JournalGestão e Desenvolvimento
Issue number27
DOIs
Publication statusPublished - 11 Sept 2019

Keywords

  • Business analytics
  • Business intelligence
  • UTAUT

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