IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v16y1986i1p89-109.html
   My bibliography  Save this article

The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984

Author

Listed:
  • J. Scott Armstrong

    (Department of Marketing, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

Before 1960, little empirical research was done on forecasting methods. Since then, the literature has grown rapidly, especially in the area of judgmental forecasting. This research supports and adds to the forecasting guidelines proposed before 1960, such as the value of combining forecasts. New findings have led to significant gains in our ability to forecast and to help people to use forecasts.

Suggested Citation

  • J. Scott Armstrong, 1986. "The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984," Interfaces, INFORMS, vol. 16(1), pages 89-109, February.
    • Handle: RePEc:inm:orinte:v:16:y:1986:i:1:p:89-109
    DOI: 10.1287/inte.16.1.89
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.16.1.89
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.16.1.89?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
    ---><---

    Citations

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


    Cited by:

    1. Zvi Schwartz & Timothy Webb & Jean-Pierre I van der Rest & Larissa Koupriouchina, 2021. "Enhancing the accuracy of revenue management system forecasts: The impact of machine and human learning on the effectiveness of hotel occupancy forecast combinations across multiple forecasting horizo," Tourism Economics, , vol. 27(2), pages 273-291, March.
    2. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    3. Marc Gruber & Claudia Venter, 2006. "„Die Kunst, die Zukunft zu erfinden“ — Theoretische Erkenntnisse und empirische Befunde zum Einsatz des Corporate Foresight in deutschen Großunternehmen," Schmalenbach Journal of Business Research, Springer, vol. 58(7), pages 958-984, November.
    4. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    5. Marian Sorin IONESCU & Olivia NEGOITA, 2020. "Data Analysis, Fundamental Factor In The Elaboration Of The Top Organizational Managerial Decision," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 677-687, November.
    6. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    7. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).

    More about this item

    Keywords

    forecasting;

    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:orinte:v:16:y:1986:i:1:p:89-109. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.