Title:
Assessing Information Quality in Group Decision Support Systems
Abstract: Information quality (IQ) issues are widespread
in many important business initiatives, such as decision making, supply chain
management and e-commerce. Group Decision Support System (GDSS) is to facilitate
solving decision problems by a group of decision makers. One major objective
of GDSS is to enhance the quality of decision making through enhancing information
value. IQ improvement, as a key factor in GDSS, plays a crucial role in enhancing
information value. However, research and partitions investigating “How to
improve IQ on GDSS” are limited. In this paper, we introduce Total Data Quality
Management (TDQM) cycle into GDSS, and then propose an assessment framework
to measure IQ in GDSS. In order to validate this framework, we carry out
an experiment to assess the quality of information used in our group decision
making context. Finally, we conclude implications for analysing and improving
IQ in GDSS and outline the further research.