A Model for Evaluation of Information Quality in a Company (An Automotive Parts Manufacturer as a Case)

Every organization requires data and information to run its business and support decision making. These data and information can be obtained from many sources, internal or external organization. Wherever they come from, data and information should be free from any errors and defects to make the business run well and the decision taken from them qualified. In this article, after determination of information quality criteria, weight or importance of each criterion were calculated by utilizing fuzzy-AHP. The main conclusion from this particular study was designing a model to illustrate the information gap between current level and targeted level. The gap between those two levels could be used as guideline for improvement plan.