We describe a digital music distribution system which fixes current problems in prevailing economic models for selling digital music. Our system aims to address the perverse incentives in the current digital music market, in which music buyers and music creators have incompatible goals and desired outcomes. The model gives users an added buying incentive: when a user buys a song, that user has ...

Formative assessment (FA) techniques, such as pre-class assignments, in-class activities, and post-class homework, have been shown to improve student learning. While many students find these techniques beneficial, some students may not understand how they support learning or may resist their implementation. Improving our understanding of FA buy-in has important implications, since buy-in can po...

s may contain minor errors and formatting inconsistencies. Please contact us if you have any concerns or questions. Track Power System Operation Free Subscription 714-028 Experimental Study of Steam Turbine Blade Performance Operating in Partial Admission Hyong-Jun Choi, Young-Ha Park, and Soo-Yong Cho Abstract Buy now 714-082 Investment Perspectives on the Interconnection of Isolated Systems w...

The present study aimed to investigate and identify factors affecting the intention to buy of Islamic Azad University students to foreign brands of clothing among the students of this university in Tehran has been carried out. In which the impact of individual characteristics (unique needs and brand attitude) and normative characteristics of students (normative influence and brand awareness) on...

Technical analysis is one of the financial market analysis tools. Technical analysis is a method of anticipating prices and markets through studying historical market data. Based on the factors studied in this type of analysis, indicators are designed and presented to facilitate decision-making on buy and sell stress and then buy and sell action in financial markets. This research evaluates per...

A look at how industrial customers make purchase decisions. Understanding why and how customers make purchase decisions is vital to maximizing profitable sales, developing new products, growing companies and developing predic-tive sales models. Many sales managers and salespeople have prescribed rules of thumb or rubrics that detect and analyze " buying signals, " but these are rarely tested an...

Ecommerce web sites are increasingly introducing personalized features in order to build and retain relationships with customers and increase the number of purchases made by each customer. While survey data, (Personalization Consortium, 2000; Personalization Consortium, 2001), user studies (Karat, et al, 2003), and experience (Manber, 2000) indicate that many individuals appreciate personalizat...