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  4. Verbal persuasion in marketing: A multimethod meta-analysis of analytical and narrative processing
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Verbal persuasion in marketing: A multimethod meta-analysis of analytical and narrative processing

Journal
Journal of the Academy of Marketing Science
Type
journal article
Date Issued
2025-03-20
Author(s)
Orazi, Davide C.
;
Hamby, Anne
;
Dennis Herhausen  
;
van Laer, Tom
;
Ludwig, Stephan
;
Gonsalves, Chahna
;
Grewal, Dhruv
DOI
10.1007/s11747-025-01095-4
Abstract
Customers process persuasive verbal messages through analytical or narrative routes. Extant marketing research offers limited findings regarding the relative effectiveness of different communication antecedents to these routes; neither does it sufficiently specify if and how communication modalities (written vs. audio) and product/service type (hedonic vs. utilitarian) moderate their impact. To address this gap, the current article presents the results of a multimethod investigation. With a meta-analysis, Study 1 establishes the differential effects of antecedents on analytical and narrative processing and the moderating roles of both modality and product/service type. Study 2 gathers the expectations of marketing professionals to provide a comparison with the meta-analytic findings, highlighting areas of misalignment and a relevant managerial question pertaining to the effects of blended analytical–narrative messages. Study 3 addresses this relevant question with an experimental approach. The combined results offer novel insights into verbal persuasion and suggest several directions for research.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Springer Science and Business Media LLC
Volume
53
Number
6
Official URL
https://research.vu.nl/en/publications/4ea0e531-4ec4-432b-ac03-4e8b5eb940cb
URL
https://alexandria.unisg.ch/handle/20.500.14171/140161
Subject(s)

business studies

Division(s)

IMC – Institute for M...

File(s)
Thumbnail Image
Name

JAMS 2025 # Verbal persuasion in marketing.pdf

Size

1.23 MB

Format

Adobe PDF

Checksum (MD5)

d0b6f8fc320d4961a260c3944dde41f3

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