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Call Centers in Financial Services: Strategies, Technologies, and Operations

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Creating Value in Financial Services

Abstract

The importance of call centers in the economy has grown dramatically since 1878, when the Bell Telephone Company began using operators to connect calls. The National American Call Center Summit (NACCS) estimates that the percentage of the U.S. working population currently employed in call centers is around 3%. In other words, in the United States, more people work in call centers than in, for example, agriculture. The annual spending on call centers is currently estimated to be somewhere between $120 and $150 billion (Anupindi and Smythe 1997). Operations budgets for all call centers in the U.S. are estimated to grow from $7 billion in 1998 to $18 billion in 2002, i.e., at a projected annual growth rate of 21% (NACCS).

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References

  1. Abate, J. and Whitt, W. (1998). Calculating Transient Characteristics of the Erlang Loss Model by Numerical Transform Inversion, Commun. Statist. -Stochastic Models, 14, 3, 663–680.

    Article  Google Scholar 

  2. Aksin, O. Z., and Harker, P. T. (1996a). To Sell or Not to Sell: Determining the Tradeoffs between Service and Sales in Retail Banking Phone Centers, Financial Institutions Center working paper 96–02-B, The Wharton School, University of Pennsylvania.

    Google Scholar 

  3. Aksin, O. Z., and Harker, P. T. (1996b). Computing Performance Measures in a Multi-Class Multi-Resource Processor-Shared Loss System, Financial Institutions Center working paper 96–02-C, The Wharton School, University of Pennsylvania.

    Google Scholar 

  4. Aksin, O. Z. and Harker, P. T. (1997). Computing Performance Measures in a Multi-Channel Multi-resource Processor Shared Loss System, Working Paper, Fishman-Davidson Center, The Wharton School.

    Google Scholar 

  5. Andrews, B. and Parsons, H. (1989). L. L. Bean Chooses a Telephone Agent Scheduling System, Interfaces, 19, 6, 1–9.

    Article  Google Scholar 

  6. Andrews, B. and Parsons, H. (1993). Establishing Telephone-Agent Staffing Levels through Economic Optimization, Interfaces, 23, 4, 14–20.

    Article  Google Scholar 

  7. Andrews, B. and Cunningham, S. (1995). L.L. Bean Improves Call-Center Forecasting, Interfaces, 25, 6, 1–13.

    Article  Google Scholar 

  8. . Anupindi, R. and Smythe, B. T. (1997). Call Centers and Rapid Technological Change, Working Paper, J.L. Kellogg Graduate School of Management, Northwestern University.

    Google Scholar 

  9. Baljko, J. L. (1998). Sanwa Bank California Irons Out Wrinkles in Telephone Service, Bank Systems + Technology, 35, 4, 66.

    Google Scholar 

  10. Box, G. and Jenkins, G. (1970). Time Series Analysis: Forecasting and Control, Holden Day, San Francisco.

    Google Scholar 

  11. Burgess, W. J., and Busby, R. E. (1992). Personnel Scheduling, In Handbook of Industrial Engineering (G. Salvendy, Ed.), 2155–2169, John Wiley, New York.

    Google Scholar 

  12. Buzacott, J. A. and Shanthikumar, J. G. (1993). Stochastic Models of Manufacturing Systems. Prentice Hall, Engelwood Cliffs, NJ.

    Google Scholar 

  13. C. S. Chang, Chao, X., Pinedo, M., and Shanthikumar, J. G. (1991). Stochastic Convexity for Multi-Dimensional Processes and its Applications, IEEE Transactions on Automatic Control, Special Issue on Multi-Dimensional Queueing Systems, 1347–1356.

    Google Scholar 

  14. Cannon, Z., Shanthikumar, J. G., and Cannon, T. F. (1996). A psychological perspective on service segmentation models: The significance of accounting for consumers’ perceptions of waiting and service, Management Science, 41, 11, 1806–1815.

    Google Scholar 

  15. Chang, C-S., and Pinedo, M. (1990). Bounds and Inequalities for Single Server Loss Systems, Queueing Systems:: Theory and Applications, 425–436.

    Google Scholar 

  16. Chen, L. T., Rotem, D. and Seshadri, S. (1995). Declustering Databases on Heterogeneous Disk Systems, Proceedings, 21st VLDB Conference, Zurich, Switzerland, 110–121.

    Google Scholar 

  17. Grabill, T. B. Gross, D. and Magazine, M. (1977). A Classified Bibliography of Research on Optimal Design and Control of Queues Operations Research, 25, 2, 219–232.

    Article  Google Scholar 

  18. Evenson, A., Harker, P. T., and Frei, F. X. (1998). Effective Call Center Management: Evidence from Financial Services, Financial Institutions Center working paper 98–25-B, The Wharton School, University of Pennsylvania.

    Google Scholar 

  19. Falin, G. (1990). A survey of retrial queues, Queueing Systems, 7, 127–167.

    Article  Google Scholar 

  20. Frei, F. X. and Harker, P. T. (1996). Process Design and Efficiency: Evidence from Retail Banking, Working Paper 96–04, Wharton Financial Institutions Center.

    Google Scholar 

  21. Gable, R. A. (1993). Inbound Call Centers: Design,Implementation and Management, Artech House, Boston.

    Google Scholar 

  22. Green, L. and Kolesar, P. (1991). The Pointwise Stationary Approximation for Queues with Non-stationary Arrivals, Management Science, 37, 1, 84–97.

    Article  Google Scholar 

  23. Hamblen, M. (1997), Bank Call Center System Pays Dividends, Computerworld, 31, 45, 55–56.

    Google Scholar 

  24. Hassler, K. W., Jones, C. C., Kohler, J. E. and Nalbone, R. D. (1995). Revolutionizing DEFINITY Call Centers in the 1990s, AT&T Technical Journal, July/August.

    Google Scholar 

  25. Hill, J. R. and Melamed, B. (1995). l’EStool: A Visual Interactive Environment for Modeling Autocorrelated Time Series, Performance Evaluation, 24, 1&2, 3–22.

    Article  Google Scholar 

  26. Holliday, K. K. (1997), Talking Heads or Talking Leads? USBanker, 107, 10, 61–64.

    Google Scholar 

  27. Jennings, O. B., Mandelbaum, A., Massey, W. A., and Whitt, W. (1996). Server Staffing to Meet Time-Varying Demand, Management Science, 42, 10, 1383–1394.

    Article  Google Scholar 

  28. Kelly, F. P. (1991). Loss Networks, Annals of Applied Probability, 1, 319–378.

    Article  Google Scholar 

  29. Kolesar, P. and Green, L. (1998). Insights on service system design from a normal approximation to Erlang’s formula, Production and Operations Management, 7, 3, 282–293.

    Article  Google Scholar 

  30. Larson, R. C. (1987). Perspectives on Queues - Social Justice and the Psychology of Queuing, Operations Research, 35, 6, 895–905.

    Article  Google Scholar 

  31. Lippman, S. A. (1975). Applying a New Device in the Optimization of Exponential Queuing Systems, Operations Research, 23, 4, 687–710.

    Article  Google Scholar 

  32. Livny, M., Melamed, B., and Tsiolis, A. K. (1993). The Impact of Autocorrelation on Queuing Systems, Management Science, 39, 3, 322–339.

    Article  Google Scholar 

  33. Luhby, T. (1998), Call Centers Failing to Ring the Bell, Survey Finds, American Banker, 163, 1, 11.

    Google Scholar 

  34. . Markoff, J. (rune 21, 1998), Voice on Phone Is Not Human, But It’s Helpful, New York Time.

    Google Scholar 

  35. Massey, W. A. and Whitt, W. (1996). Stationary-Process Approximations for the Nonstationary Erlang Loss Model, Operations Research, 44, 6, 976–983.

    Article  Google Scholar 

  36. Massey, W. A. and Whitt, W. (1997). Peak Congestion in a multi-server service system with slowly varying arrival rates, Queueing Systems, 25, 157–172.

    Article  Google Scholar 

  37. Melamed, B. (1993). An Overview of TES Processes and Modeling Methodology, Performance Evaluation of Computer and Communications Systems, L. Donatiallo and R. Nelson, Eds., Springer-Verlag Lecture Notes in Computer Science, 359–393.

    Chapter  Google Scholar 

  38. Meridien Research, (1999) Strategic Information Technology Investments: Who’s Spending What on IT for Competitive Advantage

    Google Scholar 

  39. Nanda, R. and Browne, J. (1992). Introduction to Employee Scheduling, Van Nostrand Reinhold, New York.

    Google Scholar 

  40. North American Call Center Summit (NACCS), Call Center Statistics, Call Center Summit on Strategic Outsourcing., http://www.calIcenternews.com/resources/statistics.shtml.

  41. Pinedo, M. and Chao, X. (1999). Operations Scheduling with Applications in Manufacturing and Services, Irwin/McGraw-Hill, Burr Ridge, IL.

    Google Scholar 

  42. Racine, J. (1998), Information Technology: Call Centers to the Rescue: Bridging the Physical, virtual Sales Worlds, American Banker, 1, 2, 9.

    Google Scholar 

  43. Rappaport, D. M. (1996). Key Role of Integration in Call Centers Business Comm. Rev., July, 44–48.

    Google Scholar 

  44. Redman, R. (Apr 1998), Emerging Technologies to Lure More IT Dollars but Core Channels, Systems Remain the Focus, Bank Systems + Technology, 35, 4, 10–11.

    Google Scholar 

  45. . Reynolds, P. (May 1994), Real-Time Adherence Monitoring in the Call Center, Voice Processing.

    Google Scholar 

  46. Ross, K. W. (1995). Multiservice Loss Models for Broadband Communication Networks, Springer, New York.

    Book  Google Scholar 

  47. Schwartz, S. (Jun 1998), Preparing for Massive Growth, Insurance dr Technology, 23, 6, 57–58

    Google Scholar 

  48. Stidham, S. Jr. (1985). Optimal Control of Admission to a Queueing System, IEEE Trans. AC, 30, 8, 705–713.

    Article  Google Scholar 

  49. Tauhert, C. (Sep 1998), Merger of the Century, Insurance & Technology, 23, 9, 49–51.

    Google Scholar 

  50. TCS Management Group, Inc., Workforce Management Overview, Brentwood Tennessee.

    Google Scholar 

  51. Tien, J. M., and Kamiyama, A. (1982). On Manpower Scheduling Algorithms, SIAM Review, 24, 275–287.

    Article  Google Scholar 

  52. Weber, R. R. and Stidham, S. (1987). Optimal Control of Service Rates in Networks of Queues, Adv. Appl. Prob., 19, 202–218.

    Article  Google Scholar 

  53. . Whitt, W. (1998). Decomposition Approximations for Time-Dependent Markovian Queueing Networks, forthcoming, Operations Research Letters.

    Google Scholar 

  54. . Whitt, W. (1998a). Predicting Queueing Delays, forthcoming, Management Science.

    Google Scholar 

  55. . Whitt, W. (1999). Dynamic Staffing in a Telephone Call Center Aiming to Immediately Answer All Calls, submitted to Operations Research Letters.

    Google Scholar 

  56. Whitt, W. (1999). Improving Service by Informing Customers About Anticipated Delays, Management Science, 45, 1, 1–16.

    Article  Google Scholar 

  57. Xu, S. H., Rhighter, R. and Shanthikumar, J. G. (1992). Optimal Dynamic Assignment of Customers to Heterogeneous Servers in Parallel, Operations Research, 40, 6, 1126–1138.

    Article  Google Scholar 

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Pinedo, M., Seshadri, S., Shanthikumar, J.G. (2000). Call Centers in Financial Services: Strategies, Technologies, and Operations. In: Melnick, E.L., Nayyar, P.R., Pinedo, M.L., Seshadri, S. (eds) Creating Value in Financial Services. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4605-4_18

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  • DOI: https://doi.org/10.1007/978-1-4615-4605-4_18

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7081-9

  • Online ISBN: 978-1-4615-4605-4

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