Cross-fertilising scenario planning and business history by process-tracing historical developments: aiding counterfactual reasoning and uncovering history to come

Article


Derbyshire, J. 2020. Cross-fertilising scenario planning and business history by process-tracing historical developments: aiding counterfactual reasoning and uncovering history to come. Business History. https://doi.org/10.1080/00076791.2020.1844667
TypeArticle
TitleCross-fertilising scenario planning and business history by process-tracing historical developments: aiding counterfactual reasoning and uncovering history to come
AuthorsDerbyshire, J.
Abstract

Scenario planning is a tool for considering alternative futures and their potential impact. The paper firstly addresses the paucity of history on management tools by discussing several important lineages in scenario planning’s evolution over time, and the emphasis placed on historical analysis by some specific variants therein. Secondly, it describes how causal analysis can be enhanced in scenario planning by process-tracing important historical developments. Thirdly, it outlines how a scenario planning that incorporates history in this way can assist historians to identify counterfactuals and understand the relative importance of alternative causes, thus enriching historical accounts. It can also enable business historians’ research on the relationship between businesses and their external environments, and on management decision-making. In concluding, scholars of scenario planning and business history are urged to open a mutually-beneficial dialogue. The paper initiates this by setting out some ways in which they can cross-fertilise each other.

LanguageEnglish
PublisherRoutledge
JournalBusiness History
ISSN0007-6791
Electronic1743-7938
Publication dates
Online22 Nov 2020
Publication process dates
Deposited29 Oct 2020
Accepted27 Oct 2020
Accepted author manuscript
Copyright Statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Business History on 22 Nov 2020, available online: http://www.tandfonline.com/10.1080/00076791.2020.1844667

Digital Object Identifier (DOI)https://doi.org/10.1080/00076791.2020.1844667
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