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Economics as a "Story Engine": John D. McDonald and Business as Game and Gamble

Mata, Tiago; (2023) Economics as a "Story Engine": John D. McDonald and Business as Game and Gamble. History of Political Economy , 55 (S1) pp. 103-130. 10.1215/00182702-10875031. Green open access

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Abstract

John D. McDonald was a writer and editor best known for his work at Fortune magazine in the 1950s and 1960s and as the ghostwriter of the memoirs of Alfred P. Sloan. McDonald was also the first person to popularize game theory. In this article I argue that game theory played a key role in McDonald's transition from documentary writer to business journalist. Game theory gave McDonald a journalistic device to discover business stories and to give those stories a driving tension; he called it a “story engine.” After decades writing with game theory, it began to serve a different purpose for McDonald. By coding business stories as games, McDonald gained insight into the characters, corporate executives who were often brief in explanations and shallow in self-understanding. McDonald's career gives us a glimpse at an extraordinary transformation of how a set of scholarly ideas can become a literary resource for vividness (of stories) and depth (of characters).

Type: Article
Title: Economics as a "Story Engine": John D. McDonald and Business as Game and Gamble
Open access status: An open access version is available from UCL Discovery
DOI: 10.1215/00182702-10875031
Publisher version: https://doi.org/10.1215/00182702-10875031
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Economic journalism, game theory, Fortune, business journalism, popularization, journalistic device, strategy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Science and Technology Studies
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10189622
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