Why do companies not produce better forecasts overtime? An organisational learning approach

Konstantinos Nikolopoulos, Maria Stafylarakis, Paul Goodwin, Robert Fildes

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

This paper considers the forecasting practice of a U.K. branch of a major international pharmaceutical company. The company uses a Forecasting Support System to prepare system forecasts, which are later 'judgmentally' adjusted to produce a set of final forecasts. Although it is anticipated that as the company gains experience and becomes familiar with its product, its ability to forecast at the stock keeping unit level will improve, an analysis of forecasts for 136 products over a 24-month period shows that this is not the case. This present study speculates as to the possible reasons behind what is ostensibly a failure to learn and draws on key concepts from organisational learning in an attempt to explain what may be happening.
Original languageEnglish
Title of host publicationnformation Control Problems in Manufacturing 2006
Subtitle of host publicationA Proceedings Volume from the 12th IFAC Conference, 17-19 May 2006, Saint-Etienne, France, Volume 1
Place of PublicationLaxenburg
PublisherIFAC Secretariat
Pages165-170
Volume12
ISBN (Print)14746670
Publication statusPublished - 2006
Event12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2006, and Associated Industrial Meetings: EMM'2006, BPM'2006, JT'2006, May 17, 2006 - May 19, 2006 - Saint - Etienne, France
Duration: 1 Jan 2006 → …

Publication series

NameIFAC Proceedings
PublisherIFAC Secretariat

Conference

Conference12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2006, and Associated Industrial Meetings: EMM'2006, BPM'2006, JT'2006, May 17, 2006 - May 19, 2006
Country/TerritoryFrance
CitySaint - Etienne
Period1/01/06 → …

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