Budget-Related Prediction Models in the Business Environment with Special Reference to Spot Price Predictions Page: 3
The following text was automatically extracted from the image on this page using optical character recognition software:
group predictions were obtained ex post from the company's
The study found the interacting group to be the least
accurate. The implication of this finding is that even
though an interacting group may be desirable for information
synthesis, evaluation, or working toward group consensus, it
is undesirable if prediction accuracy is critical. The
accuracy of the environmental model was found to be the
highest. This suggests that apart from random error,
misweighting of cues by individuals and groups affects
prediction accuracy. Another implication of this study is
that the environmental model can also be used as an
additional input in the prediction process to improve
Here’s what’s next.
This dissertation can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Dissertation.
Kumar, Akhil. Budget-Related Prediction Models in the Business Environment with Special Reference to Spot Price Predictions, dissertation, August 1986; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc331533/m1/3/: accessed January 16, 2019), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .