Business Forecasting Methods Impressive Advances, Lagging Implementation

Paul Goodwin, Jim Hoover, Spyros Makridakis, Fotios Petropoulos, Len Tashman

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)

Abstract

Reliable forecasts are key to decisions in areas ranging from supply chain management to capacity planning in service industries. It is encouraging then that recent decades have seen dramatic advances in forecasting methods which have the potential to significantly increase forecast accuracy and improve operational and financial performance. However, despite their benefits, we have evidence that many organizations have failed to take up systematic forecasting methods. In this paper, we provide an overview of recent advances in forecasting and then use a combination of survey data and in-depth semi-structured interviews with forecasters to investigate reasons for the low rate of adoption. Finally, we identify pathways that could lead to the greater and more widespread use of systematic forecasting methods.
Original languageEnglish
Article numbere0295693
Number of pages12
JournalPLoS ONE
Volume18
Issue number12 December
Early online date14 Dec 2023
DOIs
Publication statusPublished - 14 Dec 2023

Bibliographical note

Publisher Copyright:
© 2023 Goodwin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding

Funding: The author(s) received no specific funding for this work

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