Cited by 283Digital Marketing and Social MediaConsumer Market Behavior and PricingMarketing and Advertising Strategies

Customization of online advertising: The role of intrusiveness

Open access
van Doorn, Jenny, Hoekstra, Janny C.·2013·Marketing Letters

Integrity signals

Registry

Crossref · 10.1007/s11002-012-9222-1

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
van Doorn, J., & Hoekstra, J. C.
Affiliations
University of Groningen (NL)
Corresponding author
Hoekstra, Janny C.
Venue
Marketing Letters
Published
2013-01-08
Volume
24
Issue
4
Pages
339-351
ISSN
  • 0923-0645 (ISSN-L)
  • 1573-059X
OpenAlex
W1965477689
Cited by
283
References
4
Citations by year
2026: 21 · 2025: 31 · 2024: 27 · 2023: 34 · 2022: 31 · 2021: 30 · 2020: 25 · 2019: 29 · 2018: 17 · 2017: 16 · 2016: 12 · 2015: 5 · 2014: 5
FWCI
22.72
Type
journal article
Language
en
Open access
Locations
  • Marketing Letters (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
Keywords
personalization, perceived intrusiveness, purchase intention, personal data, discounts, consumer privacy, transaction data

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review