Author List: Bhargava, Hemant K.; SUNDARESAN, SHANKAR;
Journal of Management Information Systems, 2004, Volume 21, Issue 2, Page 201-227.
Enabled by advances in grid and network computing architectures for the delivery of on-demand computing services, the vision of an e-services economy in which computing will be as ubiquitous as a utility is becoming a possibility in business computing. Major firms in the computing industry such as IBM, Hewlett-Packard, and Sun Microsystems are focusing on agility and flexibility of computing resources and gearing up for their own versions of on-demand computing and information technology (IT) outsourcing solutions. The successful introduction of these new computing models requires the development of appropriate pricing mechanisms that are consistent with the enabling technologies. Our paper introduces the notion of contingent auctions to address this lacuna. In contingent auctions, users bid for computing resources in an auction, but are relieved from the contract (paying a penalty) if demand is not realized. We study different mechanisms--ranging from an advance commitment (capacity reservation) to no commitment (pay-as-you-go)--under demand uncertainty. We consider markets in which the demand for computing is uncertain and, moreover, users' value of computing and demand realization may be related. We show how the different levels of commitment affect prices, revenues, and resource utilization under different market conditions. Our results reiterate the need to address the availability-commitment dichotomy in the design of business models for on-demand computing and IT outsourcing.
Keywords: computing marketplace; electronic auctions; grid computing; on-demand computing; utility computing
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#195 0.220 pricing services levels level on-demand different demand capacity discrimination mechanism schemes conditions traffic paper resource expected based constraints solution latency
#248 0.164 computing end-user center support euc centers management provided users user services organizations end satisfaction applications article ibm step field policies
#91 0.095 auctions auction bidding bidders bid combinatorial bids online bidder strategies sequential prices design price using outcomes behavior theoretical computational efficiency
#16 0.085 infrastructure information flexibility new paper technology building infrastructures flexible development human creating provide despite challenge possible resources specific advances developing
#227 0.073 commitment need practitioners studies potential role consider difficult models result importance influence researchers established conduct investigated establishing appear clearly determining
#122 0.070 attention utilization existing codification model received does limitations theories receiving literature paying causes additional building examine examination focusing technological initial
#212 0.067 business digital strategy value transformation economy technologies paper creation digitization strategies environment focus net-enabled services processes insights challenges key response