Dissertation/Thesis Abstract

Business Intelligence Systems Input: Effects on Organizational Decision-Making
by Naidoo, Sherylene Shamma, D.B.A., Capella University, 2019, 113; 13805358
Abstract (Summary)

The purpose of this study was to examine the factors affecting the use of information from business intelligence systems (BIS) on decision-making culture. The relationship between analytical decision-making culture and BIS success factors was measured by data integration, analytic capabilities, information content quality, information access quality, and use of information in business processes. A quantitative statistical analysis approach was utilized to answer one research question. The construct of critical success factors was measured using a predefined model developed by Popovic, Hackney, Coelho, and Jaklic (2012). Survey responses were collected from 227 participants who were decision makers. The responses to the survey indicated a high degree of data integration, analytical capabilities, information content quality, information access quality, use of information in business processes, and analytical decision-making culture within organizations. Notably, the uploaded data reflected that data integration, analytical capabilities, and information content quality were not significantly related to analytical decision-making culture. However, information access quality and use of information in business processes were significantly and positively related to the analytical decision-making culture. With the exponential growth of business intelligence, managers are facing extreme challenges with rapid analytical decision making. Therefore, this study is not only significant to practitioners and the scholarly literature, but it also provided crucial information on BIS success factors for organizations in the Midwestern state.

Indexing (document details)
Advisor: Berete, Moussa
Commitee: Jess, Donald, McKibbin, William
School: Capella University
Department: Business and Technology
School Location: United States -- Minnesota
Source: DAI-A 77/09(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Business administration, Information Technology
Keywords: Analytical decision-making culture, BIS success factors, Business intelligence systems, Decision-making, Information systems, Information technology
Publication Number: 13805358
ISBN: 9780438926691
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