IDEAS home Printed from https://ideas.repec.org/a/inm/orited/v17y2017i2p58-62.html
   My bibliography  Save this article

Case Article—Canyon Bicycles: Judgmental Demand Forecasting in Direct Sales

Author

Listed:
  • Christoph Diermann

    (WHU—Otto Beisheim School of Management, 56179 Vallendar, Germany)

  • Arnd Huchzermeier

    (WHU—Otto Beisheim School of Management, 56179 Vallendar, Germany)

Abstract

We present a comprehensive introduction to judgmental demand forecasting along with a model that allows for effectively debiasing team forecasts and estimating demand distributions. This case is recommended for classes in operations management, marketing, or retail management; two companion papers are ideal for advanced courses (e.g., master’s or doctorate programs). We confront students with a demand forecasting problem encountered by Canyon Bicycles, the German premium bicycle manufacturer and online retailer. We present both a model and a process for deriving an accurate judgmental demand forecast. In particular, we demonstrate how one can (i) identify the best team composition, (ii) prepare for and run the forecasting meeting, (iii) debias team forecasts, (iv) estimate demand distributions, (v) deal with heterogeneous product collections, and (vi) judge the quality of forecasted demand distributions.

Suggested Citation

  • Christoph Diermann & Arnd Huchzermeier, 2017. "Case Article—Canyon Bicycles: Judgmental Demand Forecasting in Direct Sales," INFORMS Transactions on Education, INFORMS, vol. 17(2), pages 58-62, January.
  • Handle: RePEc:inm:orited:v:17:y:2017:i:2:p:58-62
    DOI: 10.1287/ited.2016.0165ca
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/ited.2016.0165ca
    Download Restriction: no

    File URL: https://libkey.io/10.1287/ited.2016.0165ca?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. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
    2. Gary E. Bolton & Axel Ockenfels & Ulrich W. Thonemann, 2012. "Managers and Students as Newsvendors," Management Science, INFORMS, vol. 58(12), pages 2225-2233, December.
    3. Vishal Gaur & Saravanan Kesavan & Ananth Raman & Marshall L. Fisher, 2007. "Estimating Demand Uncertainty Using Judgmental Forecasts," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 480-491, April.
    4. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    5. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    6. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    7. Spinler, Stefan & Huchzermeier, Arnd, 2006. "The valuation of options on capacity with cost and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 171(3), pages 915-934, June.
    8. Berg, Joyce E. & Nelson, Forrest D. & Rietz, Thomas A., 2008. "Prediction market accuracy in the long run," International Journal of Forecasting, Elsevier, vol. 24(2), pages 285-300.
    Full references (including those not matched with items on IDEAS)

    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. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    2. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    3. Jordan Tong & Daniel Feiler, 2017. "A Behavioral Model of Forecasting: Naive Statistics on Mental Samples," Management Science, INFORMS, vol. 63(11), pages 3609-3627, November.
    4. Elahi, Ehsan & Lamba, Narasimha & Ramaswamy, Chinthana, 2013. "How can we improve the performance of supply chain contracts? An experimental study," International Journal of Production Economics, Elsevier, vol. 142(1), pages 146-157.
    5. Anil Gaba & Dana G. Popescu & Zhi Chen, 2019. "Assessing Uncertainty from Point Forecasts," Management Science, INFORMS, vol. 65(1), pages 90-106, January.
    6. Yun Shin Lee & Enno Siemsen, 2017. "Task Decomposition and Newsvendor Decision Making," Management Science, INFORMS, vol. 63(10), pages 3226-3245, October.
    7. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    8. Georgia Perakis & Guillaume Roels, 2008. "Regret in the Newsvendor Model with Partial Information," Operations Research, INFORMS, vol. 56(1), pages 188-203, February.
    9. Sharifi, Rozhin & Razavi, Hamideh & Elahi, Ehsan, 2023. "Investigation of the ordering behavior of a retailer in the revenue sharing and buyback contracts considering round number bias," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Dertwinkel-Kalt, Markus & Köster, Mats, 2017. "Salient compromises in the newsvendor game," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 301-315.
    11. Felix T. S. Chan & Xinsheng Xu, 2019. "The Loss-Averse Retailer’s Order Decisions Under Risk Management," Mathematics, MDPI, vol. 7(7), pages 1-16, July.
    12. He, Haonan & Wang, Shanyong, 2019. "Cost-benefit associations in consumer inventory problem with uncertain benefit," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 271-284.
    13. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    14. Xide Zhu & Zhiheng Hu & Guihua Lin & Weina Xu, 2023. "Strategy Analysis for Retailer-Leading Supply Chain under Buyback Contract with Focus Theory of Choice," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    15. Arshavskiy V. & Okulov V. & Smirnova A., 2014. "Newsvendor Problem Experiments: Riskiness of the Decisions and Learning by Experience," International Journal of Business and Social Research, LAR Center Press, vol. 4(5), pages 137-150, May.
    16. John Maleyeff, 2014. "Quantifying the Value of Flexibility in Supply Chains for High-Risk Products," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 5(2), pages 16-24, May.
    17. Ubøe, Jan & Andersson, Jonas & Jörnsten, Kurt & Lillestøl, Jostein & Sandal, Leif K., 2014. "Probabilistic cost efficiency and bounded rationality in the newsvendor model," Discussion Papers 2014/41, Norwegian School of Economics, Department of Business and Management Science.
    18. Kopyto, Matthias & Lechler, Sabrina & von der Gracht, Heiko A. & Hartmann, Evi, 2020. "Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    19. Yinghao Zhang & Karen Donohue & Tony Haitao Cui, 2016. "Contract Preferences and Performance for the Loss-Averse Supplier: Buyback vs. Revenue Sharing," Management Science, INFORMS, vol. 62(6), pages 1734-1754, June.
    20. Ubøe, Jan & Andersson, Jonas & Jörnsten, Kurt & Lillestøl, Jostein & Sandal, Leif, 2017. "Statistical testing of bounded rationality with applications to the newsvendor model," European Journal of Operational Research, Elsevier, vol. 259(1), pages 251-261.

    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:orited:v:17:y:2017:i:2:p:58-62. 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.