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We study capacity competition in a service environment where the arrival rates are highly seasonal (e.g., lunch time rushes) and customers are time sensitive, so may depart without receiving service if the waiting time is too long. As a stepping stone for the competitive model, we begin by...
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Consider a single-server service system with uncertain quality level (which is assumed to be binary). Both the server and the customers know the distribution of quality levels and are engaged in the following two-stage game. In the first stage, the server commits to a strategy (possibly mixed)...
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Problem definition: We study customer-centric privacy management in service systems and explore the consequences of extended control over personal information by customers in such systems.Methodology: We adopt a stylized queueing model to capture a service environment that features a service...
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