Best practices in demand forecasting: tests of Universalistic, contingency and configurational theories
While the literature on demand forecasting has examined the best practices in the field, the interpretation and definition of best practices can be difficult due to the different perspectives that the literature has adopted. First, a universalistic perspective can be considered because some specific practices are really best regardless of the context, the forecasting problems, etc. Some other contributions have also taken a contingent approach, which states that best practices depend on the specific kind of company considered or the forecasting scenario. A third potential perspective is the configurational one, which asserts that best practices depend on a set of factors. In this work, we plan to study which of these perspectives really holds true and to what extent they do so. Analysis is conducted by collecting data of more than 500 companies in different countries via the GMRG IV questionnaire. The impact of forecasting is studied in terms of operational performance by designing and testing different sets of propositions that underline the three aforementioned perspectives.
|Date of creation:||2011|
|Contact details of provider:|| Postal: viale Marconi 5, 24044 Dalmine|
Web page: http://www.unibg.it/struttura/en_struttura.asp?cerca=en_dige_intro
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mady, M. Tawfik, 2000. "Sales forecasting practices of Egyptian public enterprises: survey evidence," International Journal of Forecasting, Elsevier, vol. 16(3), pages 359-368.
When requesting a correction, please mention this item's handle: RePEc:brh:wpaper:1102. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (University of Bergamo Library)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.