Author List: Sen, Sagnika; Raghu, T. S.;
Information Systems Research, 2013, Volume 24, Issue 3, Page 822-841.
Information technology (IT) infrastructure outsourcing arrangements involve multiple services and processes that are interdependent. The interdependencies pose significant challenges in designing appropriate incentives to influence a provider's effort-allocation decisions. By integrating process modeling fundamentals with multitask agency theory, we enumerate the base set of possible interrelationships among different IT service processes and derive corresponding optimal incentives. Our results demonstrate the impacts of risk profile, random noise, value-cost ratio, and process structure on optimal incentive rates. We find that the current practice of treating IT services as essentially independent is optimal only in limited settings where both the service provider and customer are risk neutral. Interestingly, incongruent performance measures require optimal incentive rates to respond in complex ways to the strength of coupling between services and the complementarity and substitutability of services. We also analyze more complex process scenarios using different combinations of the base set. The results demonstrate that, while the findings from the base set largely hold, the value-cost ratio of the services and the performance measure congruity can pose unique challenges in determining incentive rates.
Keywords: agency theory; incentives; IT outsourcing; process interdependence; service level agreements
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#112 0.247 services service network effects optimal online pricing strategies model provider provide externalities providing base providers fee complementary demand offer derive
#180 0.194 multiple elements process environments complex integrated interdependencies design different developing integration order approach dialogue framework capabilities settings building focus distinct
#70 0.137 contract contracts incentives incentive outsourcing hazard moral contracting agency contractual asymmetry incomplete set cost client parties examine effort structures double
#97 0.090 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present analytical distribution selection number existing
#5 0.059 consumer consumers model optimal welfare price market pricing equilibrium surplus different higher results strategy quality cost lower competition firm paper
#114 0.051 performance firm measures metrics value relationship firms results objective relationships firm's organizational traffic measure market study improve accounting measuring aggregate