Patterns of business intelligence systems use in organizations
Author
dc.contributor.author
Arnott, David
Author
dc.contributor.author
Lizama Garrido, Félix
Author
dc.contributor.author
Song, Yutong
Admission date
dc.date.accessioned
2019-05-29T14:00:14Z
Available date
dc.date.available
2019-05-29T14:00:14Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Decision Support Systems 97 (2017) 58–68
Identifier
dc.identifier.issn
01679236
Identifier
dc.identifier.other
10.1016/j.dss.2017.03.005
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169193
Abstract
dc.description.abstract
Business intelligence (BI) is often used as the umbrella termfor large-scale decision support systems (DSS) in organizations.
BI is currently the largest area of IT investment in organizations and has been rated as the top technology
priority by CIOs worldwide for many years. The most important use patterns in decision support are
concerned with the type of decision to be supported and the type of manager that makes the decision. The seminal
Gorry and ScottMortonMIS/DSS framework remains the most popular framework to describe these use patterns.
It is widely believed that DSS theory like this framework can be transferred to BI. This paper investigates BI
systems use patterns using the Gorry and Scott Morton framework and contemporary decision-making theory
from behavioral economics. The paper presents secondary case study research that analyzes eight BI systems
and 86 decisions supported by these systems. Based on the results of the case studies a framework to describe
BI use patterns is developed. The framework provides both a theoretical and empirically based foundation for
the development of high quality BI theory. It also provides a guide for developing organizational strategy for BI
provision. The framework shows that enterprise and smaller functional BI systems exist together in an organization
to support different decisions and different decision makers. The framework shows that personal DSS theory
cannot be applied to BI systems without specific empirical support.