Modeling latent sources in call center arrival data

Joshua Landon, Fabrizio Ruggeri, Refik Soyer and M. Murat Tarimcilar

European Journal of Operational Research, 2010, vol. 204, issue 3, 597-603

Abstract: In this paper, we discuss issues that arise in the analysis of call center arrivals that are mostly linked to individual ads. More specifically, we consider the case where there is no complete linkage between the calls and the advertisements that led to the calls. The ability to model and infer such latent call arrival sources is important from a marketing as well as an operations point of view since knowledge of the linkage improves forecasting performance of the model. We pose this as a missing data problem and develop a data augmentation algorithm for the Bayesian analysis. We implement the proposed algorithm to simulated and actual call center arrival data and discuss its performance.

Keywords: Call; center; modeling; Nonhomogeneous; Poisson; process; Data; augmentation; Markov; chain; Monte; Carlo (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:204:y:2010:i:3:p:597-603

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