Capturing knowledge transfer: an interaction and revenue model for streamed media
| dc.contributor.author | Garrison, Daniel | |
| dc.date.accessioned | 2005-01-25T19:51:08Z | |
| dc.date.available | 2005-01-25T19:51:08Z | en_US |
| dc.date.issued | 2005 | |
| dc.identifier.uri | http://hdl.handle.net/1850/421 | |
| dc.description | Extended abstract of paper presented at GCCIS Conference on Computing and Information Sciences, Jan. 21, 2005 | en_US |
| dc.description.abstract | Information and knowledge are constantly presented to consumer's senses at a rate that is often faster than the ability to process. When the capture of streamed media is possible, it requires manual participation either by the consumer and/or vendor. Presented is an automated model for generating revenue from streamed media that facilitates impulse purchasing while also decreasing time until consumption. | |
| dc.format.extent | 72396 bytes | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.language.iso | en_US | |
| dc.subject | Media distribution | en_US |
| dc.subject | Peer-to-peer networks | en_US |
| dc.subject | Streamed media | en_US |
| dc.title | Capturing knowledge transfer: an interaction and revenue model for streamed media | |
| dc.type | Other |
