Salesperson Efficiency Benchmarking Using Sales Response Data: Who is Working Hard and Working Smart?
AbstractA key to enhancing sales force productivity is finding ways to help existing reps sell more. In this paper, we focus on the process of internal efficiency benchmarking of a firm’s sales representatives aimed at identifying strong and weak performers and providing meaningful and actionable directions for improving productivity of relatively inefficient performers. We propose to do this by utilizing measures of two fundamental attributes of a salesperson’s controllable work activity as inputs in a DEA (data envelopment analysis) – based procedure: how hard and how smart s/he works. The suggested metrics are derived in an empirical application using archival sales response data from a pharmaceutical company sales force. The application shows that, on average, working smart has larger effects on sales than working hard. In comparison to a conventional DEA benchmarking that simply uses raw sales calls as input measures, the proposed model that uses more ‘processing’ of the sales response data to derive working smart and hard input measures shows much larger potential for efficiency improvement and offers more meaningful and actionable guidance for improving sales force productivity. --
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by ZBW - German National Library of Economics in its series EconStor Preprints with number 57427.
Date of creation: 23 Apr 2012
Date of revision:
Contact details of provider:
Postal: Düsternbrooker Weg 120, 24105 Kiel / Neuer Jungfernstieg 21, 20354 Hamburg
Phone: +49 431 8814-1
Fax: +49 431 8814-520
Web page: http://www.econstor.eu/
More information through EDIRC
Working Smart; Working Hard; Salesperson Benchmarking; Data Envelopment Analysis; Efficiency Analysis;
Find related papers by JEL classification:
- M30 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - General
- M10 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-05-02 (All new papers)
- NEP-EFF-2012-05-02 (Efficiency & Productivity)
- NEP-HRM-2012-05-02 (Human Capital & Human Resource Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- SIMAR, Léopold & WILSON, Paul, 1995.
"Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models,"
CORE Discussion Papers
1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
- Simar, L. & Wilson, P.W., . "Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models," CORE Discussion Papers RP -1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Simar, L., .
"Aspects of statistical analysis in DEA-type frontier models,"
CORE Discussion Papers RP
-1226, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- SIMAR , Léopold, 1995. "Aspects of Statistical Analysis in DEA-Type Frontier Models," CORE Discussion Papers 1995061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Mahajan, Jayashree, 1991. "A data envelopment analytic model for assessing the relative efficiency of the selling function," European Journal of Operational Research, Elsevier, vol. 53(2), pages 189-205, July.
- Bernd Skiera & Sönke Albers, 1998. "COSTA: Contribution Optimizing Sales Territory Alignment," Marketing Science, INFORMS, vol. 17(3), pages 196-213.
- Hauser, John & Katz, Gerald, 1998. "Metrics: you are what you measure!," European Management Journal, Elsevier, vol. 16(5), pages 517-528, October.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Peter Doyle & John Saunders, 1990. "Multiproduct Advertising Budgeting," Marketing Science, INFORMS, vol. 9(2), pages 97-113.
- Leopold Simar & Paul Wilson, 2000.
"A general methodology for bootstrapping in non-parametric frontier models,"
Journal of Applied Statistics,
Taylor & Francis Journals, vol. 27(6), pages 779-802.
- Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
- Hauser, John R. & Katz, Gerald M. & International Center for Research on the Management of Technology., 1998. "Metrics : you are what you measure!," Working papers 172-98, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics).
If references are entirely missing, you can add them using this form.