IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v50y2004i12_supplementp1841-1853.html
   My bibliography  Save this article

Models and Managers: The Concept of a Decision Calculus

Author

Listed:
  • John D. C. Little

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

(This article originally appeared in Management Science, April 1970, Volume 16, Number 8, pp. B-466--B-485, published by The Institute of Management Sciences.) A manager tries to put together the various resources under his control into an activity that achieves his objectives. A model of his operation can assist him but probably will not unless it meets certain requirements. A model that is to be used by a manager should be simple, robust, easy to control, adaptive, as complete as possible, and easy to communicate with. By simple is meant easy to understand; by robust, hard to get absurd answers from; by easy to control, that the user knows what input data would be required to produce desired output answers; adaptive means that the model can be adjusted as new information is acquired; completeness implies that important phenomena will be included even if they require judgmental estimates of their effect; and, finally, easy to communicate with means that the manager can quickly and easily change inputs and obtain and understand the outputs. Such a model consists of a set of numerical procedures for processing data and judgments to assist managerial decision making and so will be called a decision calculus. An example from marketing is described. It is an on-line model for use by product managers on advertising budgeting questions. The model is currently in trial use by several product managers.

Suggested Citation

  • John D. C. Little, 2004. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 50(12_supple), pages 1841-1853, December.
  • Handle: RePEc:inm:ormnsc:v:50:y:2004:i:12_supplement:p:1841-1853
    DOI: 10.1287/mnsc.1040.0267
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1040.0267
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1040.0267?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John D. C. Little & Leonard M. Lodish, 1969. "A Media Planning Calculus," Operations Research, INFORMS, vol. 17(1), pages 1-35, February.
    2. John D. C. Little, 1966. "A Model of Adaptive Control of Promotional Spending," Operations Research, INFORMS, vol. 14(6), pages 1075-1097, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    2. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    3. Steven M. Shugan, 2007. "—It's the Findings, Stupid, Not the Assumptions," Marketing Science, INFORMS, vol. 26(4), pages 449-459, 07-08.
    4. Preyas S. Desai & David Bell & Gary Lilien & David Soberman, 2012. "Editorial --The Science-to-Practice Initiative: Getting New Marketing Science Thinking into the Real World," Marketing Science, INFORMS, vol. 31(1), pages 1-3, January.
    5. Silveira, Cleo Schmitt & de Oliveira, Marta Olivia Rovedder & Luce, Fernando Bins, 2012. "Customer equity and market value: Two methods, same results?," Journal of Business Research, Elsevier, vol. 65(12), pages 1752-1758.
    6. Martin Natter & Andreas Mild & Udo Wagner & Alfred Taudes, 2008. "—Planning New Tariffs at tele.ring: The Application and Impact of an Integrated Segmentation, Targeting, and Positioning Tool," Marketing Science, INFORMS, vol. 27(4), pages 600-609, 07-08.
    7. Ercan Özen, 2019. "The Concept of Trust in Socio-Economic Life," European Journal of Marketing and Economics Articles, Revistia Research and Publishing, vol. 2, May - Aug.
    8. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.
    9. Marc Bollecker & Wilfrid Azan, 2008. "Les frontières de la recherche en contrôle de gestion : une analyse des cadres théoriques mobilisés," Post-Print halshs-00522395, HAL.
    10. Florian Kellner & Bernhard Lienland & Sebastian Utz, 2021. "A multi‐criteria decision‐making approach for assembling optimal powertrain technology portfolios in low GHG emission environments," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1412-1429, December.
    11. Afshin Mansouri, S. & Gallear, David & Askariazad, Mohammad H., 2012. "Decision support for build-to-order supply chain management through multiobjective optimization," International Journal of Production Economics, Elsevier, vol. 135(1), pages 24-36.
    12. Claassen, G.D.H., 2014. "Mixed integer (0–1) fractional programming for decision support in paper production industry," Omega, Elsevier, vol. 43(C), pages 21-29.
    13. Marshall, Byron & Curry, Michael & Kawalek, Peter, 2015. "Improving IT assessment with IT artifact affordance perception priming," International Journal of Accounting Information Systems, Elsevier, vol. 19(C), pages 17-28.
    14. Gary L. Lilien & John H. Roberts & Venkatesh Shankar, 2013. "Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects," Marketing Science, INFORMS, vol. 32(2), pages 229-245, March.
    15. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.
    16. Philipp Kranabitl & Clemens Faustmann & Hannes Hick, 2021. "Decision Making for Sustainable Technical Applications with the SMH Approach," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    17. Michael F. Gorman, 2018. "A Survey of Research in Field-Based Education: A Summary of Process, Best Practices, and Lessons Learned," INFORMS Transactions on Education, INFORMS, vol. 18(3), pages 145-161, May.
    18. Germann, Frank & Lilien, Gary L. & Rangaswamy, Arvind, 2013. "Performance implications of deploying marketing analytics," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 114-128.
    19. Mansouri, S. Afshin & Lee, Habin & Aluko, Oluwakayode, 2015. "Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 3-18.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Davis, Joseph G. & Sundaram, David, 1995. "PETAPS: A prototype decision support system for consumer product marketing and promotion," European Journal of Operational Research, Elsevier, vol. 87(2), pages 247-256, December.
    2. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    3. Prasad A. Naik & Murali K. Mantrala & Alan G. Sawyer, 1998. "Planning Media Schedules in the Presence of Dynamic Advertising Quality," Marketing Science, INFORMS, vol. 17(3), pages 214-235.
    4. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    5. Markus Christen, 2005. "Research Note---Cost Uncertainty Is Bliss: The Effect of Competition on the Acquisition of Cost Information for Pricing New Products," Management Science, INFORMS, vol. 51(4), pages 668-676, April.
    6. Vahideh Sadat Abedi, 2017. "Allocation of advertising budget between multiple channels to support sales in multiple markets," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 134-146, February.
    7. John R. Hauser & Guilherme (Gui) Liberali & Glen L. Urban, 2014. "Website Morphing 2.0: Switching Costs, Partial Exposure, Random Exit, and When to Morph," Management Science, INFORMS, vol. 60(6), pages 1594-1616, June.
    8. Rabih Salhab & Roland P. Malhamé & Jerome Le Ny, 2018. "A Dynamic Collective Choice Model with an Advertiser," Dynamic Games and Applications, Springer, vol. 8(3), pages 490-506, September.
    9. Carl F. Mela & Jason M. T. Roos & Tulio Sousa, 2023. "Advertiser Learning in Direct Advertising Markets," Papers 2307.07015, arXiv.org, revised Apr 2024.
    10. Kleijnen, J.P.C., 1977. "Operations research and computers," Other publications TiSEM a32ddec4-cafb-4dfa-93f6-6, Tilburg University, School of Economics and Management.
    11. Steven M. Shugan, 2004. "Endogeneity in Marketing Decision Models," Marketing Science, INFORMS, vol. 23(1), pages 1-3.
    12. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    13. Omar Besbes & Costis Maglaras, 2009. "Revenue Optimization for a Make-to-Order Queue in an Uncertain Market Environment," Operations Research, INFORMS, vol. 57(6), pages 1438-1450, December.
    14. Huberman, Bernardo & Wu, Fang, 2006. "Comparative Advante and Efficient Advertising in the Attention Economy," MPRA Paper 928, University Library of Munich, Germany.
    15. Nicholas C. Petruzzi & Maqbool Dada, 2001. "Information and Inventory Recourse for a Two-Market, Price-Setting Retailer," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 242-263, October.
    16. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
    17. Richard C. Hanna & Scott D. Swain & Paul D. Berger, 2016. "Optimizing time-limited price promotions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 77-92, July.
    18. Javier Marin, 2024. "Social Dynamics of Consumer Response: A Unified Framework Integrating Statistical Physics and Marketing Dynamics," Papers 2404.02175, arXiv.org.
    19. Cannon, Hugh M. & Williams, David L. & Yoon, Sung-Joon, 2010. "Integrating marketing databases through regressed microsegmentation," Journal of Business Research, Elsevier, vol. 63(4), pages 424-430, April.
    20. Peter J. Danaher, 2007. "Modeling Page Views Across Multiple Websites with an Application to Internet Reach and Frequency Prediction," Marketing Science, INFORMS, vol. 26(3), pages 422-437, 05-06.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:50:y:2004:i:12_supplement:p:1841-1853. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.