| dc.contributor.author | Datta, Shoumen | |
| dc.contributor.author | et, al | |
| dc.date.accessioned | 2008-07-31T12:29:23Z | |
| dc.date.available | 2008-07-31T12:29:23Z | |
| dc.date.issued | 2004 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41908 | |
| dc.description | Real-time distributed data, in-network
processing, Agent-based autonomy, if taken together, may tame the Bullwhip Effect.
Can the (semantic) web catalyze the “Nash Equilibrium” of people and information in our quest for real time "predictive" decision
support systems? We will explore a few of these issues and how they may converge and coalesce to enable the adaptive value network of the future. | en |
| dc.description.abstract | Can we collapse information asymmetries and add value to networks or demand webs? Real-time operational adaptability is key,
especially in fast ‘clockspeed’ industries. Confluence of emerging tools, technologies and standards are required to converge to catalyze the evolution of such adaptable enterprise. | en |
| dc.description.sponsorship | MIT Forum for Supply Chain Innovation
http://supplychain.mit.edu/shoumen | en |
| dc.language.iso | en | en |
| dc.publisher | Kluwer Academic Publishers | en |
| dc.subject | Adaptive value networks, Game theory, Bullwhip effect, Agent, Automatic Identification | en |
| dc.title | ADAPTIVE VALUE NETWORKS: Convergence of Emerging Tools, Technologies and Standards as Catalytic Drivers | en |
| dc.title.alternative | ADAPTIVE VALUE NETWORKS: Convergence | en |
| dc.type | Book chapter | en |
| dc.identifier.citation | Chapter 1 in Evolution of Supply Chain Management | en |
| dc.contributor.department | Massachusetts Institute of Technology. Auto-ID Laboratory | |
