A1 Refereed original research article in a scientific journal

Constructing the accurate forecast: an actor-network theory approach




AuthorsHenttu-Aho Tiina, Järvinen Janne T., Lassila Erkki M.

PublisherEmerald

Publication year2023

JournalMeditari accountancy research

Journal acronymMEDAR

Volume31

Issue7

First page 116

Last page132

eISSN2049-372X

DOIhttps://doi.org/10.1108/MEDAR-03-2022-1613

Web address https://www.emerald.com/insight/content/doi/10.1108/MEDAR-03-2022-1613/full/html

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/179122863


Abstract

Purpose

This paper empirically demonstrates the major organizational events of a rolling forecasting process and the roles of controllers therein. In particular, this study aims to investigate how the understanding of a “realistic forecast” is translated and questioned by various mediators in the rolling forecasting process and how it affects the quality of planning as the ultimate accuracy of forecasts is seen as important.

Design/methodology/approach

This study follows an actor-network theory (ANT) approach and maps the key points of translation in the rolling forecasting process by inspecting the roles of mediators. This qualitative case study is based on interviews with controllers and managers involved in the forecasting process in a single manufacturing company.

Findings

The paper identified two episodes of translation in the forecasting process, in which the forecast partially stabilized to create room for managerial discussion and debate. The abilities of controllers to infiltrate various functional groups and calculative practices appeared to be one way to control the accuracy of forecasting, although this was built on a façade of neutrality.

Originality/value

Prior literature identifies the aims of interactive planning processes as being to improve the quality of planning. The authors apply ANT to better understand the nature of mediators in constructing an entity called a “realistic rolling forecast”.


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Last updated on 2025-27-03 at 21:46