Abstract | ||
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Recently, static value chains have gradually been giving way to highly agile service value networks. This involves novel economic and organizational challenges. Added value for customers is created by feasible compositions of distributed service components. This work focuses on the design of a multidimensional procurement auction for trading service compositions and the analysis of strategies for service providers that participate in the procurement process. The mechanism implementation is incentive-compatible, so that it results in an equilibrium in which revealing the true multidimensional type (quality of service and valuation) is a weakly-dominant strategy for all service providers. Due to combinatorial restrictions imposed by the underlying graph topology, the winner determination problem can be solved in polynomial time, in contrast to computationally-intractable combinatorial auctions which cannot be solved this way. Furthermore, we provide a simulation-based analysis based on a reinforcement learning model of bundling and unbundling strategies of service providers that participate in the auction. Based on our results we discuss strategic recommendations for service providers depending on how they are situated within the network. |
Year | DOI | Venue |
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2010 | 10.1016/j.elerap.2009.11.001 | Electronic Commerce Research and Applications |
Keywords | Field | DocType |
composite service,service component,procurement process,procurement,auction markets,service provider,combinatorial auction,electronic markets,trading service composition,path auctions,added value,simulation-based analysis,bundling strategy,multidimensional procurement auction,static value chain,economic analysis,mechanism design,agile service value network,incentive compatibility,polynomial time,reinforcement learning,quality of service,value chain | Service design,Service level objective,Computer science,Combinatorial auction,Commerce,Quality of service,Service provider,Service level requirement,Procurement,Marketing,Service delivery framework | Journal |
Volume | Issue | ISSN |
9 | 5 | Electronic Commerce Research and Applications |
Citations | PageRank | References |
13 | 0.71 | 24 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Benjamin Blau | 1 | 257 | 17.01 |
Tobias Conte | 2 | 79 | 10.26 |
Clemens Van Dinther | 3 | 82 | 9.47 |