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When Does Affect Influence Consumer Judgement? A Meta-analytic Integration, 1983-2020
Creator
Puccinelli, N, University of Bath
Study number / PID
854893 (UKDA)
10.5255/UKDA-SN-854893 (DOI)
Data access
Open
Series
Not available
Abstract
This research addresses the debate of whether creating a positive affective reaction in a marketing environment will lead to more favorable consumer reactions. When will these effects be greatest? We report a meta-analysis of 44 papers from 1987 to 2020 that reconciles mixed findings in the literature on affect and develop a comprehensive model to provide a more nuanced understanding of the nature of affect effects. The majority of the literature highlights an affect-as-information effect (AAI) and our results suggest that under certain conditions positive affect can increase favorable evaluation by as much as 94% over a negative affect baseline. We examine when the AAI effect is enhanced as a function of: judgment factors (i.e., malleability and relevance), target factors (i.e., representativeness, affect source, task involvement, and cognitive complexity), situation factors (i.e., arousal, culture, and salience. We find that when affect is seen as more representative of the target, the source of affect is semi-integral to the target, the task is less cognitively complex and involvement in the task is higher the AAI effect is even stronger. Further, when the situation renders affect more salient there is a stronger AAI effect on evaluation. When the situation is characterized by lower arousal, there is a stronger AAI effect on behavior. Finally, in Western cultures a stronger AAI effect is observed for evaluation and in Eastern cultures a stronger AAI effect is observed for behavior.A classic result in the marketing literature—as well as some of the psychology literature—is that affective feelings, whether integral or incidental, often result in affect-congruent evaluations. In this paper, we report a meta-analysis of 90 experimental studies of the affect-congruent-evaluation (ACE) phenomenon, with a total of 212 independent effect sizes. In this analysis, we document the typical size of ACE effects on both attitudinal and behavioral measures of evaluation; we...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2010 - 01/01/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Other
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Studies were identified through several approaches. Following meta-analytic procedures standard to the field (Brown and Peterson 1993; Grewal et al. 1997; Keller and Lehmann 2008; Palmatier et al. 2006), we searched for terms such as “emotion,” “mood,” “feeling,” “affect,” “affect as information,” and various specific emotion terms (e.g., “happy,” “sad,” “anger,” “pride”) on various databases such as ABI/INFORM, ACR and SCP proceedings, ProQuest, Google Scholar, Scirus, SSRN, and EBSCO (Business Source Premier, PsycINFO, and PsycArticles). We then examined bibliographies of the articles from these sources and conducted additional web searches to identify any published papers that our initial literature search may have missed. We also solicited input from several scholars in the field with expertise in the domain of interest. To reduce the effect of publication bias, we requested unpublished “file drawer” papers through a LISTSERV from ELMAR. Furthermore, to capture other relevant studies that appeared in psychology, we reviewed a list of highly cited psychology papers on the impact of affect on judgment and/or behavior.
Funding information
Grant number
Unknown
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.