Date of Degree
12-2017
Document Type
Dissertation
Degree Name
Doctor of Business Administration (DBA)
Program
Business Administration
Advisor
Vess Johnson
Advisor
Alicia Rubio
Advisor
Jolene Beltrami
Abstract
The evolution of the call center into contact centers and the growth of their use in providing customer-facing service by many companies has brought considerable capabilities in maintaining customer relationships but it also has brought challenges in providing quality service when call volumes are high. Limited in their ability to provide service at all times to all customers, companies are forced to balance the costs associated with hiring more customer service representatives and the quality of service provided by a fewer number. A primary challenge when there are not enough customer service representatives to engage the volume of callers in a timely manner is the significant wait times that can be experienced by many customers. Normally, callers are handled in accordance with a first-come, first-served policy with exceptions being skill-based routing to those customer service representatives with specialized skills. A proposed call center infrastructure framework called a Virtual Predictive Queue (VPQ) can allow some customers to benefit from a shorter call queue wait time. This proposed system can be implemented within a call center’s Automatic Call Distribution (ACD) device associated with computer telephony integration (CTI) and theoretically will not violate a first-come, first served policy.
Recommended Citation
Pugh, William, "Call Center Experience Optimization: A Case for a Virtual Predictive Queue" (2017). Theses & Dissertations. 318.
https://athenaeum.uiw.edu/uiw_etds/318
Included in
Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons