Suchergebnisse

ABSTRACTAlthough service‐level agreements (SLAs) are important for IT outsourcing management, appropriate mechanisms for constructing effective SLAs are still poorly understood, leading to inadequate or overcomplicated contracts that are ineffective. This study examines the associations among three distinct sets of SLA characteristics and outsourcing success, as well as the role of commitment in these relationships. Analyzing survey data based on a model theorizing the alignment of SLA characteristics with intended outsourcing objectives, we find that different types of benefits attained through IT outsourcing arrangements are associated with the use of specific contractual dimensions. We also find that commitment, in general, moderates the impact of SLAs on outsourcing success, although the nature of the moderation varies with the different benefits IT outsourcing engagement is intended to achieve. Interestingly, in certain cases—change characteristics for achieving technology benefits, in particular—commitment can be a barrier to the effective use of SLAs in achieving intended outsourcing benefits. As such, our study extends the literature on IT outsourcing, contracting and commitment, as well as provides a general guideline for practitioners to structure effective SLAs and to properly use commitment for managing IT outsourcing engagements to successfully achieve intended benefits.

AbstractThe worldwide healthcare and economic crisis caused by the COVID‐19 pandemic highlights the need for a deeper understanding of investing in the mitigation of epidemic risks. To address this, we built a mathematical model to optimize investments into two types of measures for mitigating the risks of epidemic propagation: prevention/containment measures and treatment/recovery measures. The new model explicitly accounts for the characteristics of networks of individuals, as a critical element of epidemic propagation. Subsequent analysis shows that, to combat an epidemic that can cause significant negative impact, optimal investment in either category increases with a higher level of connectivity and intrinsic loss, but it is limited to a fraction of that total potential loss. However, when a fixed and limited mitigation investment is to be apportioned among the two types of measures, the optimal proportion of investment for prevention and containment increases when the investment limit goes up, and when the network connectivity decreases. Our results are consistent with existing studies and can be used to properly interpret what happened in past pandemics as well as to shed light on future and ongoing events such as COVID‐19.