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Cited by 370

The DOI matches its OpenAlex record; 15 of the 15 references it cites were found in a registry or an index.

Choice Goal Attainment and Decision and Consumption Satisfaction

Mark Heitmann, Donald R. Lehmann, Andreas Peter Herrmann·2007·Springer eBooks
DOI 10.1007/978-3-031-88067-4_12
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Abstract

Several individual, social-setting, and choice-set factors have been shown to be related to satisfaction. This article argues that these factors operate through a set of choice goals. Using panel data on purchasers of consumer electronics, the authors examine how five goals (justifiability, confidence, anticipated regret, evaluation costs, and final negative affect) drive decision and consumption satisfaction, which in turn determine loyalty, product recommendations, and the amount and valence of word of mouth.

Overview

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Registry

OpenAlex · 10.1007/978-3-031-88067-4_12

Cites

15 of 15 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Metadata

Authors
Heitmann, M., Lehmann, D. R., & Herrmann, A. P.
Venue
Springer eBooks
Publisher
Springer Nature
Published
2007-05-01
Volume
44
Issue
2
Pages
227-250
DOI
10.1007/978-3-031-88067-4_12
OpenAlex
W2000329621
Cited by
370
References
15
FWCI
68.21
Type
book chapter
Language
en
Open access
closed

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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.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.