IS

Wang, X. Sean

Topic Weight Topic Terms
0.235 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user
0.174 database language query databases natural data queries relational processing paper using request views access use
0.158 organizations new information technology develop environment challenges core competencies management environmental technologies development emerging opportunities
0.127 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

Brodsky, Alexander 1 Egge, Nathan E. 1
agile organizations 1 decision guidance 1 decision support 1 optimization 1

Articles (1)

Supporting Agile Organizations with a Decision Guidance Query Language. (Journal of Management Information Systems, 2012)
Authors: Abstract:
    Decision optimization is widely used in many decision guidance and support systems (DGSS) to support business decisions such as procurement, scheduling, and planning. In spite of rapid changes in users' requirements, the implementation of DGSS is typically rigid, expensive, and not easily extensible, which is in stark contrast to the agile implementation of management information systems (MIS) based on the database management systems (DBMS) and SQL technologies. This paper focuses on the Decision Guidance Query Language (DGQL) designed to (re-)use SQL programs for decision optimization with the goals of making DGSS implementation agile and intuitive and leveraging existing investment in SQL-implemented MIS. The paper addresses two related technical issues with DGQL: (1) how to annotate existing queries to precisely express the optimization semantics, and (2) how to translate the annotated queries into equivalent mathematical programming formulations that can be solved efficiently.