The effects of personality traits on business intelligence usage: A decision-making perspective

Yu Wei Chang, Ping Yu Hsu, Wen Lung Shiau, Zeng Yuan Wu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Business intelligence (BI) has been widely employed to manage and refine vast stocks of data. However, to date, very little attention has been paid to personality traits on different BI usage patterns. The purpose of this study is to investigate the effects of personality traits on BI usage intentions. The Bagozzi, Dholakia and Basuroy (BDB) model and a personality framework are used in this study. By collecting data of 354 managers from China and Taiwan, we empirically examine the proposed model. The results show that conscientiousness and openness to experience are significantly related to the intention to read information and the desire to exchange reports respectively. Additionally, the intention to read information directly or indirectly influences the intention to create reports through the desire to exchange reports. The findings can help organizations select users with suitable traits to boost usage patterns during BI implementation.

Original languageEnglish
Pages (from-to)13-40
Number of pages28
JournalMalaysian Journal of Library and Information Science
Volume20
Issue number2
StatePublished - 2015

Keywords

  • BDB model
  • Behavioral intention
  • Business intelligence
  • Decision making
  • Five-factor model
  • Personality trait

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