Dissertation/Thesis Abstract

An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors
by Walker, Karen M., D.B.A., Capella University, 2017, 103; 10682877
Abstract (Summary)

Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between variables and BI solutions by examining the independent covariates (size and environment) on the dependent variable of BI maturity. In addition, the research examined the extent that BI maturity is leveraged as an organizational asset. Research questions selected for this study considered the relationship between enterprise size, environment, and SMEs’ BI maturity. Contingency theory was used to examine the relationship between variables, characteristics, and performance. A Qualtrics panel was used to distribute the BI maturity model survey to for-profit employers, with 1000 or fewer employees, located within the state of California. Respondents completed 102 surveys, which served as the data source. Descriptive analysis and chi-square were conducted on a sample size of 102. The results of the study revealed no significant relationship between the dependent and independent variables. While the domains of strategy and quality are findings in this research, this study found a significant relationship does not exist between either the organizational size, environment and SMEs’ BI maturity. Consideration of the implications that are found in this study apply to both covariances (size and environment). These findings strengthen the need for further SME BI research.

Indexing (document details)
Advisor: Marbury, Raymond, McKibbin, William J.
Commitee: Granberry, Kenneth
School: Capella University
Department: Business and Technology
School Location: United States -- Minnesota
Source: DAI-A 79/03(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Business administration, Information science
Keywords: Business intelligence, Knowledge management, Maturity models, Predictivty analytics
Publication Number: 10682877
ISBN: 9780355507799
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