2008 Awards for Excellence

The Bottom Line

ISSN: 0888-045X

Article publication date: 31 October 2008

384

Citation

(2008), "2008 Awards for Excellence", The Bottom Line, Vol. 21 No. 3. https://doi.org/10.1108/bl.2008.17021caa.001

Publisher

:

Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited


2008 Awards for Excellence

Article Type: 2008 Awards for Excellence From: The Bottom Line, Volume 21, Issue 3

The following article was selected for this year's Outstanding Paper Award for The Bottom Line

"A multiple regression model for predicting reference desk staffing requirements''

Sarla R. MurgaiUniversity of Tennessee at Chattanooga, Hamilton, Tennessee, USAMohammad AhmadiUniversity of Tennessee at Chattanooga, Hamilton, Tennessee, USA

Purpose - The purpose of this study is to develop a multiple regression model that can be used to predict the number of patrons that seek assistance at the reference desk of the library. This will facilitate the scheduling of the reference desk librarians..Design/methodology/approach - A multiple regression model is developed, where the dependent variable in the regression model is the number of patrons that seek assistance at the reference desk of the library and the predictor variables (independent variables) are the door count and the semester under study. Data were gathered at the University of Tennessee at Chattanooga for an entire year. Using these data, a multiple regression model was formulated and tested for significance. Then, the model was used for forecasting the required staff at the reference desk for a period for which data was available.Findings - The regression model, with the addition of daily variations, proved to be a good predictor of the number of patrons seeking assistance. Hence, the staffing need was estimated. Overall, the regression model with the added daily index proved to be a very good predictor.Originality/value - It is crucial to be able to predict the number of clients at the reference desk that seek assistance per day. With the use of a sample of data, it was possible to predict the number of clients seeking assistance at the reference desk.

Keywords Academic libraries, Human resource management, Information personnel, Librarians, Library users, Reference services

www.emeraldinsight.com/10.1108/08880450710773002

This article originally appeared in Volume 20 Number 2, 2007, pp. 69-76, The Bottom Line

The following articles were selected for this year's Highly Commended Award

"Unseen measures: the need to account for intangibles''

Larry Nash WhiteThis article originally appeared in Volume 20 Number 2, 2007, The Bottom Line

"A kaleidoscope of possibilities: strategies for assessing human capital in libraries''

Larry Nash WhiteThis article originally appeared in Volume 20 Number 2, 2007, The Bottom Line

"Imperfect reflections: The challenges in implementing human capital assessment in libraries''

Larry Nash WhiteThis article originally appeared in Volume 20 Number 4, 2007, The Bottom Line

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