The impact of data environment and profitability on business intelligence adoption

Chien Wen Shen, Ping Yu Hsu, Yen Ting Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The deployment of business intelligence (BI) involves complex processes of data reconfiguration and resource alignment. This study investigated whether the issues of data environment and profitability affect BI implementation for the manufacturers that have already adopted enterprise resource planning systems. We individually considered the factors of data warehousing, online analytical processing (OLAP), and data mining for the data environment, while return on assets, return on sales, and return on investment were transformed into a single component of profitability using principal component analysis. Through logistic regression, we determined that OLAP and data warehousing play important roles in the adoption of BI; however, data mining and profitability indicated no such influence.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
Pages185-193
Number of pages9
EditionPART 2
DOIs
StatePublished - 2012
Event4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012 - Kaohsiung, Taiwan
Duration: 19 Mar 201221 Mar 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7197 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
Country/TerritoryTaiwan
CityKaohsiung
Period19/03/1221/03/12

Keywords

  • Business Intelligence
  • Data Environment
  • Enterprise Resource Planning
  • Profitability

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