Business Intelligence Adoption: A Literature Review and Model Exploration
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Authors
Williams, Randy A.
Issue Date
2022-03-27
Type
Other
Language
en_US
Keywords
Business intelligence , Literature review , Adoption framework
Alternative Title
Abstract
Purpose: Synthesize a new model of Business Intelligence adoption factors, driven by four key variables:
1-Executive Management Influence,
2-Individual Intention,
3-Technology,
4-Organization.
The research seeks to identify new insights from existing publications in factors impacting adoption of Business Intelligence (“BI") through a systematic literature review. The research is comprehensive and review centric, covering over 80 scholarly publications from highly reputable sources, including:
-International Journal of Information Management,
-MIS Quarterly,
-Decision Support Systems.
Practical implications: The research is important because BI systems provide immense benefits to organizations who adopt modern BI tools (Acheampong & Moyaid, 2016). BI systems provide an ability to make fast decisions with the most up to date information available. This increased speed to insight results in greater profitability, enhanced competitive advantage, and improved decision making capabilities. However, limited research exists on the factors affecting adopting BI (Acheampong & Moyaid, 2016). The current research will challenge existing theories of BI adoption, synthesize recent advances, and expand existing models in the field through a systematic literature review and empirical study (Puklavec, Oliveira, & Popovič, 2018), (Lee, 2010), (Ain, Vaia, DeLone, & Waheed, 2019).