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Salespeople's management of customer information: Impact on optimal territory and sales force sizes

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  • Darmon, Rene Y.

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  • Darmon, Rene Y., 2002. "Salespeople's management of customer information: Impact on optimal territory and sales force sizes," European Journal of Operational Research, Elsevier, vol. 137(1), pages 162-176, February.
    • Handle: RePEc:eee:ejores:v:137:y:2002:i:1:p:162-176
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    1. Wright, William F. & Anderson, Urton, 1989. "Effects of situation familiarity and financial incentives on use of the anchoring and adjustment heuristic for probability assessment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 44(1), pages 68-82, August.
    2. Bernd Skiera & Sönke Albers, 1998. "COSTA: Contribution Optimizing Sales Territory Alignment," Marketing Science, INFORMS, vol. 17(3), pages 196-213.
    3. William K. Fudge & Leonard M. Lodish, 1977. "Evaluation of the Effectiveness of a Model Based Salesman's Planning System by Field Experimentation," Interfaces, INFORMS, vol. 8(1-part-2), pages 97-106, November.
    4. Amiya K. Basu & Rajiv Lal & V. Srinivasan & Richard Staelin, 1985. "Salesforce Compensation Plans: An Agency Theoretic Perspective," Marketing Science, INFORMS, vol. 4(4), pages 267-291.
    5. Rajiv Lal & Richard Staelin, 1986. "Salesforce Compensation Plans in Environments with Asymmetric Information," Marketing Science, INFORMS, vol. 5(3), pages 179-198.
    6. John D. C. Little, 1970. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 16(8), pages 466-485, April.
    7. Arvind Rangaswamy & Prabhakant Sinha & Andris Zoltners, 1990. "An Integrated Model-Based Approach for Sales Force Structuring," Marketing Science, INFORMS, vol. 9(4), pages 279-298.
    8. Leonard M. Lodish & Ellen Curtis & Michael Ness & M. Kerry Simpson, 1988. "Sales Force Sizing and Deployment Using a Decision Calculus Model at Syntex Laboratories," Interfaces, INFORMS, vol. 18(1), pages 5-20, February.
    9. Shelby H. McIntyre, 1982. "An Experimental Study of the Impact of Judgment-Based Marketing Models," Management Science, INFORMS, vol. 28(1), pages 17-33, January.
    10. Leonard M. Lodish, 1971. "Callplan: An Interactive Salesman's Call Planning System," Management Science, INFORMS, vol. 18(4-Part-II), pages 25-40, December.
    11. Dipankar Chakravarti & Andrew Mitchell & Richard Staelin, 1979. "Judgment Based Marketing Decision Models: An Experimental Investigation of the Decision Calculus Approach," Management Science, INFORMS, vol. 25(3), pages 251-263, March.
    12. Andris A. Zoltners & Prabhakant Sinha, 1980. "Integer Programming Models for Sales Resource Allocation," Management Science, INFORMS, vol. 26(3), pages 242-260, March.
    13. Andris A. Zoltners & Prabhakant Sinha, 1983. "Sales Territory Alignment: A Review and Model," Management Science, INFORMS, vol. 29(11), pages 1237-1256, November.
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    Cited by:

    1. Haase, Knut & Müller, Sven, 2014. "Upper and lower bounds for the sales force deployment problem with explicit contiguity constraints," European Journal of Operational Research, Elsevier, vol. 237(2), pages 677-689.

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