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Forecasting Teller Window Demand with Exponential Smoothing.
| Content Provider | Scilit |
|---|---|
| Author | Berry, W. L. Mabert, V. A. Marcus, M. |
| Copyright Year | 1979 |
| Description | This paper demonstrates the use of exponential smoothing to forecast the total daily demand for teller window services in a bank. It describes (1) the procedures that were used to detect the underlying causes of systematic variation in teller window demand and (2) the use of an exponential smoothing model with seasonal factors that are not time dependent. Experimental results are presented which illustrate the improvement in forecasting performance obtained by using the nontime-dependent seasonal factors. The resulting forecasts provide a means of improving teller window staffing decisions. |
| Related Links | http://amj.aom.org/content/22/1/129.full.pdf |
| Ending Page | 137 |
| Page Count | 9 |
| Starting Page | 129 |
| ISSN | 00014273 |
| e-ISSN | 19480989 |
| DOI | 10.2307/255485 |
| Journal | Academy of Management Journal |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | Duke University Press |
| Access Restriction | Open |
| Subject Keyword | Industrial Relations Bank Tellers Smoothing (statistics) Decision Making Curve Fitting Choice (psychology) Banking Industry Business Forecasting Employee Recruitment Employee Selection Compensation Management Management Science Personnel Management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Business and International Management Strategy and Management Management of Technology and Innovation |
