A Framework for Evaluating Information Transparency in Supply Chains

Private, public, profit, and non-profit organizations, society as a whole currently face significant reliable information necessity problem. Especially supply chains need trustworthy to perform their activities successfully. This study aims propose framework identify how reliability of can be evaluated measured through the concept transparency. In this context, dimensions such as; comprehensiveness, regularity, timeliness, content, scope, user-friendliness are pillars proposed framework. Selected criteria have been used inputs develop transparency level. The Fuzzy Analytic Network Process (ANP) is obtain weights these inputs, Data Envelopment Analysis (DEA) for determination efficiency ranking Results demonstrated that Content, Scope Comprehensiveness 75% impact on data. Remaining 25 percent affected by Timeliness, Regularity User-friendliness.