Optimal Valuation and Timing of Price Benchmarks for IT Services Contracts
Robert J. Kauffman, Ryan Sougstad
Abstract
Robert J. Kauffman, Ryan Sougstad
Abstract
Information technology (IT) services contracts often contain provisions for benchmarking fixed prices to current market prices. Prices of IT services tend to be opaque, but can be revealed through third-party benchmarks. Little research has been conducted on the value and timing of such benchmarks. We draw upon the theory of mortgage refinance and value-at-risk analysis from financial economics, and the IT investment under uncertainty literature to create a model of the benchmarking decision for IT services contracts. Our model permits the determination of the value and optimal timing of the benchmark. We provide conditions under which a client firm should consider one or multiple benchmark provisions. Our solution is robust to uncertainty surrounding benchmark forecasts. Firms can leverage market price uncertainties and exercise benchmarks even when the potential rate of declining IT prices does not reach a minimum threshold to benchmark.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Information technology (IT) services contracts often contain provisions for benchmarking fixed prices to current market prices. Prices of IT services tend to be opaque, but can be revealed through third-party benchmarks. Little research has been conducted on the value and timing of such benchmarks. We draw upon the theory of mortgage refinance and value-at-risk analysis from financial economics, and the IT investment under uncertainty literature to create a model of the benchmarking decision for IT services contracts. Our model permits the determination of the value and optimal timing of the benchmark. We provide conditions under which a client firm should consider one or multiple benchmark provisions. Our solution is robust to uncertainty surrounding benchmark forecasts. Firms can leverage market price uncertainties and exercise benchmarks even when the potential rate of declining IT prices does not reach a minimum threshold to benchmark.
Key concepts: Benchmarking, Benchmark (surveying), Valuation (finance), Leverage (statistics), Computer science, Economics, Market value, Econometrics