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SE04 - SIG Service5: Evidence-based approach in operations management
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Presentations | ||
Identifying the bottleneck unit: Impact of congestion spillover in hospital inpatient unit network 1SNU Business School, Korea, Republic of (South Korea); 2Columbia Business School, USA; 3Keck Medicine of USC, USA We use 5-year data from a hospital with 16 inpatient units to empirically examine whether and how much congestion propagates through the network of inpatient units. We find that the magnitude of the congestion spillover is substantial in our study hospital. We then use counterfactual analyses to empirically identify the bottleneck unit---the unit that has the biggest impact on system performance when an intervention is applied to increase its capacity. Capping mobile data access creates value for bottom-of-the-pyramid consumers – experimental evidence from a Mumbai settlement London Business School, United Kingdom Via an app we developed, we identify a barrier to digital information access by the poor – data shortages. In a Mumbai slum, we randomly assigned respondents to a data plan with daily replenishment cycles – or a standard plan. Our data reveal that absent caps, respondents binge on YouTube and social media, resulting in subsequent data shortages. The capped plan increases late-plan access of WhatsApp invites to health camps, increases attendance at these camps, and reduces social media checking. |