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Retaining Talented Salespeople

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  • Steven Lu
  • Andre Bonfrer
  • Ranjit Voola

Abstract

For any marketing organization that relies on personal selling, it is vital to attract and retain successful salespeople who fit well with the organization. In this paper, we examine how salespeople learn about their fit with the organization and about their future performance and how they use this to make the decision to stay or leave. We depart from the extant sales management literature on retention/turnover in that we model individual sales employees’ stay/leave decisions using a structural model that accommodates forward looking behaviour. In our application, the dynamic model explains turnover better than a model that does not consider forward looking behaviour. Our approach also immediately yields several insights about the roles of person-organization fit and sales performance satisfaction in sales force turnover. Overall, and accounting for person-organization fit, we find that good performance encourages the salesperson to stay longer with the selling organization. Most importantly, the relative importance of person-organization fit and salesperson performance in determining turnover varies over time. In particular, person-organization fit plays a bigger role at the beginning of a salesperson’s tenure, whereas satisfaction associated with selling performance plays a larger relative role at later stages. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Steven Lu & Andre Bonfrer & Ranjit Voola, 2015. "Retaining Talented Salespeople," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 148-164, June.
  • Handle: RePEc:spr:custns:v:2:y:2015:i:2:p:148-164
    DOI: 10.1007/s40547-015-0045-0
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    References listed on IDEAS

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    1. Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.
    2. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    3. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    4. Chonko, Lawrence B. & Dubinsky, Alan J. & Jones, Eli & Roberts, James A., 2003. "Organizational and individual learning in the sales force: an agenda for sales research," Journal of Business Research, Elsevier, vol. 56(12), pages 935-946, December.
    5. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    6. Sanjog Misra & Harikesh Nair, 2011. "A structural model of salesforce compensation dynamics: Response to Profs. Rust and Staelin," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 267-273, September.
    7. Fangruo Chen, 2005. "Salesforce Incentives, Market Information, and Production/Inventory Planning," Management Science, INFORMS, vol. 51(1), pages 60-75, January.
    8. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    9. McNeilly, Kevin & Goldsmith, Ronald E., 1991. "The moderating effects of gender and performance on job satisfaction and intentions to leave in the sales force," Journal of Business Research, Elsevier, vol. 22(3), pages 219-232, May.
    10. David Godes, 2003. "In the Eye of the Beholder: An Analysis of the Relative Value of a Top Sales Rep Across Firms and Products," Marketing Science, INFORMS, vol. 22(2), pages 161-187, May.
    11. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    12. James S. Boles & George W. Dudley & Vincent Onyemah & Dominique Rouzies & William A. Weeks, 2012. "Sales Force Turnover and Retention: A Research Agenda," Post-Print hal-00663426, HAL.
    13. Panagopoulos, Nikolaos G. & Avlonitis, George J., 2010. "Performance implications of sales strategy: The moderating effects of leadership and environment," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 46-57.
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    2. World Bank Group, 2017. "Poverty, Forest Dependence and Migration in the Forest Communities of Turkey," World Bank Publications - Reports 28590, The World Bank Group.
    3. Charles Adusei & Isaac Tweneboah-Koduah & Gloria K.Q. Agyapong, 2020. "Sales-Orientation and Customer-Orientation on Performance of Direct Sales Executives of Fidelity Bank, Ghana," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 70-86, October.
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    5. Wolf, Elizabeth Baily & Lee, Jooa Julia & Sah, Sunita & Brooks, Alison Wood, 2016. "Managing perceptions of distress at work: Reframing emotion as passion," Organizational Behavior and Human Decision Processes, Elsevier, vol. 137(C), pages 1-12.

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