AI and Consumer Behavior

Kim, T; Duhachek, A

AI and Consumer Behavior

Kim, T

Duhachek, A

Permalink

Publication Type:: Chapter
Citation:: Cambridge Handbook of Consumer Psychology, 2022, 2
Issue Date:: 2022-10-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 1 Apr 2023

Adobe PDF

Download Accepted versionAdobe PDF (327.96 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Kim, T https://orcid.org/0000-0003-3040-4092
dc.contributor.author	Duhachek, A
dc.contributor.editor	Rucker, D
dc.contributor.editor	Lamberton, C
dc.contributor.editor	Spiller, S
dc.date.accessioned	2022-04-22T17:45:30Z
dc.date.available	2022-04-22T17:45:30Z
dc.date.issued	2022-10-01
dc.identifier.citation	Cambridge Handbook of Consumer Psychology, 2022, 2
dc.identifier.isbn	9781107706552
dc.identifier.uri	http://hdl.handle.net/10453/156549
dc.description.abstract	Documenting how technological change impacts consumer behavior has been an important area of researcher interest dating to the early days of consumer and marketing research. In fact, a 1942 Journal of Marketing article authored by market research industry pioneer Arthur C. Nielsen describes initial attempts to record consumer responses to radio advertising using a panel approach. The first mention of technological innovation and consumer behavior in the Journal of Consumer Research dates to its second issue (Ostlund, 1974). So, whereas each generation of consumer researchers has grappled with how new technologies implicate contemporary practice and theory, it is becoming increasingly clear that the task for the next generation of scholars will be to better understand how humans interact with increasingly autonomous artificial agents that demonstrate high levels of market intelligence. The emergence of AI technology over the past several years has impacted consumers in nearly every industry. This chapter provides a brief historical overview of AI, describes the current state of the art in consumer research in AI and concludes with forecasts of key issues of research importance in the years to come.
dc.language	en
dc.relation.ispartof	Cambridge Handbook of Consumer Psychology
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	AI and Consumer Behavior
dc.type	Chapter
utslib.citation.edition	2
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Marketing Discipline
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2023-04-01T00:00:00+1000Z
dc.date.updated	2022-04-22T17:45:25Z
pubs.edition	2
pubs.publication-status	Accepted

Abstract:

Documenting how technological change impacts consumer behavior has been an important area of researcher interest dating to the early days of consumer and marketing research. In fact, a 1942 Journal of Marketing article authored by market research industry pioneer Arthur C. Nielsen describes initial attempts to record consumer responses to radio advertising using a panel approach. The first mention of technological innovation and consumer behavior in the Journal of Consumer Research dates to its second issue (Ostlund, 1974). So, whereas each generation of consumer researchers has grappled with how new technologies implicate contemporary practice and theory, it is becoming increasingly clear that the task for the next generation of scholars will be to better understand how humans interact with increasingly autonomous artificial agents that demonstrate high levels of market intelligence. The emergence of AI technology over the past several years has impacted consumers in nearly every industry. This chapter provides a brief historical overview of AI, describes the current state of the art in consumer research in AI and concludes with forecasts of key issues of research importance in the years to come.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/156549