IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v16y2000i3p359-368.html
   My bibliography  Save this article

Sales forecasting practices of Egyptian public enterprises: survey evidence

Author

Listed:
  • Mady, M. Tawfik

Abstract

No abstract is available for this item.

Suggested Citation

  • Mady, M. Tawfik, 2000. "Sales forecasting practices of Egyptian public enterprises: survey evidence," International Journal of Forecasting, Elsevier, vol. 16(3), pages 359-368.
    • Handle: RePEc:eee:intfor:v:16:y:2000:i:3:p:359-368
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(00)00033-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nada R. Sanders & Karl B. Manrodt, 1994. "Forecasting Practices in US Corporations: Survey Results," Interfaces, INFORMS, vol. 24(2), pages 92-100, April.
    2. Dalrymple, Douglas J., 1975. "Sales forecasting methods and accuracy," Business Horizons, Elsevier, vol. 18(6), pages 69-73, December.
    3. Dalrymple, Douglas J., 1987. "Sales forecasting practices: Results from a United States survey," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 379-391.
    4. George Thomas & Jo-Anne DaCosta, 1979. "A Sample Survey of Corporate Operations Research," Interfaces, INFORMS, vol. 9(4), pages 102-111, August.
    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. Asimakopoulos, Stavros & Dix, Alan, 2013. "Forecasting support systems technologies-in-practice: A model of adoption and use for product forecasting," International Journal of Forecasting, Elsevier, vol. 29(2), pages 322-336.
    2. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    3. Kalchschmidt, Matteo, 2012. "Best practices in demand forecasting: Tests of universalistic, contingency and configurational theories," International Journal of Production Economics, Elsevier, vol. 140(2), pages 782-793.
    4. Sanders, Nada R. & Manrodt, Karl B., 2003. "The efficacy of using judgmental versus quantitative forecasting methods in practice," Omega, Elsevier, vol. 31(6), pages 511-522, December.
    5. Zotteri, Giulio & Kalchschmidt, Matteo, 2007. "Forecasting practices: Empirical evidence and a framework for research," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 84-99, July.
    6. Fildes, Robert & Bretschneider, Stuart & Collopy, Fred & Lawrence, Michael & Stewart, Doug & Winklhofer, Heidi & Mentzer, John T. & Moon, Mark A., 2003. "Researching Sales Forecasting Practice: Commentaries and authors' response on "Conducting a Sales Forecasting Audit" by M.A. Moon, J.T. Mentzer & C.D. Smith," International Journal of Forecasting, Elsevier, vol. 19(1), pages 27-42.
    7. Donna F. Davis & John T. Mentzer & Teresa M. Mccarthy & Susan L. Golicic, 2006. "The evolution of sales forecasting management: a 20-year longitudinal study of forecasting practices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 303-324.
    8. Matteo Kalchschmidt, 2011. "Best practices in demand forecasting: tests of Universalistic, contingency and configurational theories," Working Papers 1102, Department of Management, Information and Production Engineering, University of Bergamo.
    9. Fildes, Robert & Goodwin, Paul, 2021. "Stability in the inefficient use of forecasting systems: A case study in a supply chain company," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1031-1046.

    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. Leitner, Johannes & Leopold-Wildburger, Ulrike, 2011. "Experiments on forecasting behavior with several sources of information - A review of the literature," European Journal of Operational Research, Elsevier, vol. 213(3), pages 459-469, September.
    2. Klassen, Robert D. & Flores, Benito E., 2001. "Forecasting practices of Canadian firms: Survey results and comparisons," International Journal of Production Economics, Elsevier, vol. 70(2), pages 163-174, March.
    3. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    4. Goodwin, P., 1996. "Statistical correction of judgmental point forecasts and decisions," Omega, Elsevier, vol. 24(5), pages 551-559, October.
    5. Armstrong, J. Scott & Brodie, Roderick J., 1999. "Forecasting for Marketing," MPRA Paper 81690, University Library of Munich, Germany.
    6. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
    7. Diamantopoulos, Adamantios & Winklhofer, Heidi, 1999. "The impact of firm and export characteristics on the accuracy of export sales forecasts: evidence from UK exporters," International Journal of Forecasting, Elsevier, vol. 15(1), pages 67-81, February.
    8. Lawrence, Michael & Sim, William, 1999. "Prototyping a financial DSS," Omega, Elsevier, vol. 27(4), pages 445-450, August.
    9. Önkal, Dilek & Bolger, Fergus, 2004. "Provider-user differences in perceived usefulness of forecasting formats," Omega, Elsevier, vol. 32(1), pages 31-39, February.
    10. Diamantopoulos, Adamantios & Winklhofer, Heidi, 2003. "Export sales forecasting by UK firms: Technique utilization and impact on forecast accuracy," Journal of Business Research, Elsevier, vol. 56(1), pages 45-54, January.
    11. Remus, William & O'Connor, Marcus & Griggs, Kenneth, 1998. "The impact of information of unknown correctness on the judgmental forecasting process," International Journal of Forecasting, Elsevier, vol. 14(3), pages 313-322, September.
    12. Jiří Šindelář, 2019. "Sales forecasting in financial distribution: a comparison of quantitative forecasting methods," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 24(3), pages 69-80, December.
    13. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    14. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The role of the forecasting process in improving forecast accuracy and operational performance," International Journal of Production Economics, Elsevier, vol. 131(1), pages 204-214, May.
    15. F Caniato & M Kalchschmidt & S Ronchi, 2011. "Integrating quantitative and qualitative forecasting approaches: organizational learning in an action research case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 413-424, March.
    16. Leitner, Johannes & Schmidt, Robert & Bofinger, Peter, 2003. "Biases of professional exchange rate forecasts: Psychological explanations and an experimentally based comparison to novices," W.E.P. - Würzburg Economic Papers 39, University of Würzburg, Department of Economics.
    17. Webby, Richard & O'Connor, Marcus & Edmundson, Bob, 2005. "Forecasting support systems for the incorporation of event information: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 21(3), pages 411-423.
    18. Kalchschmidt, Matteo, 2012. "Best practices in demand forecasting: Tests of universalistic, contingency and configurational theories," International Journal of Production Economics, Elsevier, vol. 140(2), pages 782-793.
    19. Lawrence, Michael & O'Connor, Marcus & Edmundson, Bob, 2000. "A field study of sales forecasting accuracy and processes," European Journal of Operational Research, Elsevier, vol. 122(1), pages 151-160, April.
    20. Nada R. Sanders & Karl B. Manrodt, 2003. "Forecasting Software in Practice: Use, Satisfaction, and Performance," Interfaces, INFORMS, vol. 33(5), pages 90-93, October.

    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:eee:intfor:v:16:y:2000:i:3:p:359-368. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.