The purpose of the present study is investigating, comparing evaluation frameworks of learning objects and deriving the more important indices. After doing so, comparison, correspondence and analysis of the frameworks are done. Realizing the most important indices, the e‐content of the two...

Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...