Paper Info
Title
Relational Model Bases: A Technical Approach To Real-Time Business Intelligence And Decision Making
Abstract
This article presents a technical approach to acquiring quality, real-time decision-making information within organizations and illustrates this approach with an extended case study. Using relational model bases for real-time, operational decision making in organizations facilitates a transition to dynamic (vs. forecast-driven) resource allocation decisions. These and related systems offer development of a new generation of DSS applications which can be applied to extend preemptive decision making across many industries. This approach is illustrated through a description of a detailed conceptual case (scenario) pertaining to its application in agribusiness. This approach to decision making can be viewed as an extension of well-known techniques pertaining to DSS but also represents the opportunity to address problems not amenable to traditional post hoc analysis. Researchers can learn from the accumulated knowledge pertaining to DSS but can also examine innovations that push forward into new territories. The article presents and discusses a variety of emergent research questions prompted by the application of these technologies in the business environment.
Year
Venue
Keywords
2013
COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS
organization, decision support systems, real time, business intelligence, relational model base
Field
DocType
Volume
Agribusiness,Computer science,Decision support system,Knowledge management,Business decision mapping,Resource allocation,Real-time business intelligence,Relational model,Business intelligence,Decision engineering,Management science
Journal
33
ISSN
Citations 
PageRank 
1529-3181
1
0.35
References 
Authors
22
1
Name
Order
Citations
PageRank
Elizabeth White Baker1916.52