Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis

Gregory Richards, William Yeoh, Alain Yee Loong Chong, Aleš Popovič

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Business intelligence (BI) technologies have received much attention from both academics and practitioners, and the emerging field of business analytics (BA) is beginning to generate academic research. However, the impact of BI and the relative importance of BA on corporate performance management (CPM) have not yet been investigated. To address this gap, we modeled a CPM framework based on the Integrative model of IT business value and on information processing theory. Data were collected from a global survey of senior managers in 337 companies. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. BI effectiveness is strongly related to BA, planning and to measurement. In contrast, BA effectiveness is strongly related to planning but less so to measurement. The study suggests that although both BI and BA contribute to corporate management practices, the information needs are different based on the level of uncertainty versus ambiguity characteristic of the management practice.

Original languageEnglish
Pages (from-to)188-196
Number of pages9
JournalJournal of Computer Information Systems
Volume59
Issue number2
DOIs
Publication statusPublished - 4 Mar 2019

Keywords

  • Business intelligence
  • corporate performance management
  • empirical study

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