Digital texts as market actors: semantic network analysis

Ban Lee; Philip John Roscoe; David Dowell

doi:10.1017/9781009413961.029

Digital texts as market actors: semantic network analysis

Ban Lee, Philip John Roscoe, David Dowell

Management (Business School)

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

How might researchers begin to tackle markets that are constructed through digital texts, and how might they do so within the richly descriptive tradition of Market Studies? This chapter introduces semantic network analysis (SMA) of digital texts. It discusses the use of SMA to map the rhizomic structures of discourse, to extract mental models of participants, and draw a shared cognitive map from dispersed discourses. Through the example of an empirical study, focusing on an art investment consultancy, it examines how these methods can contribute to Market Studies and other related fields. It concludes with reflections on the relationship between theory, research practice, and the performative work of market texts.

Original language	English
Title of host publication	Market studies
Subtitle of host publication	mapping, theorizing and impacting market action
Editors	Susi Geiger, Katy Mason, Neil Pollock, Philip Roscoe, Annmarie Ryan, Stefan Schwarzkopf, Pascale Trompette
Place of Publication	Cambridge
Publisher	Cambridge University Press
Chapter	23
Pages	382-400
Number of pages	19
ISBN (Electronic)	9781009413961
ISBN (Print)	9781009413978
DOIs	https://doi.org/10.1017/9781009413961.029
Publication status	Published - 22 Nov 2024

Keywords

Market practices
Construction of markets
Visualising markets
Semantic network analysis (SMA)
Rhizomic structures
Discourse
Market studies methods
Performativity

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10.1017/9781009413961.029

Cite this

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Digital texts as market actors: semantic network analysis. / Lee, Ban; Roscoe, Philip John; Dowell, David.
Market studies: mapping, theorizing and impacting market action. ed. / Susi Geiger; Katy Mason; Neil Pollock; Philip Roscoe; Annmarie Ryan; Stefan Schwarzkopf; Pascale Trompette. Cambridge: Cambridge University Press, 2024. p. 382-400.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Digital texts as market actors

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AU - Lee, Ban

AU - Roscoe, Philip John

AU - Dowell, David

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N2 - How might researchers begin to tackle markets that are constructed through digital texts, and how might they do so within the richly descriptive tradition of Market Studies? This chapter introduces semantic network analysis (SMA) of digital texts. It discusses the use of SMA to map the rhizomic structures of discourse, to extract mental models of participants, and draw a shared cognitive map from dispersed discourses. Through the example of an empirical study, focusing on an art investment consultancy, it examines how these methods can contribute to Market Studies and other related fields. It concludes with reflections on the relationship between theory, research practice, and the performative work of market texts.

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KW - Market practices

KW - Construction of markets

KW - Visualising markets

KW - Semantic network analysis (SMA)

KW - Rhizomic structures

KW - Discourse

KW - Market studies methods

KW - Performativity

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DO - 10.1017/9781009413961.029

M3 - Chapter (peer-reviewed)

SN - 9781009413978

SP - 382

EP - 400

BT - Market studies

A2 - Geiger, Susi

A2 - Mason, Katy

A2 - Pollock, Neil

A2 - Roscoe, Philip

A2 - Ryan, Annmarie

A2 - Schwarzkopf, Stefan

A2 - Trompette, Pascale

PB - Cambridge University Press

CY - Cambridge

ER -

Digital texts as market actors: semantic network analysis

Abstract

Keywords

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Market studies: mapping, theorizing and impacting market action

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