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dc.contributor.authorBlanchard, Simon J
dc.contributor.authorGoldenberg, Jacob
dc.contributor.authorPauwels, Koen
dc.contributor.authorSchweidel, David A.
dc.date.accessioned2023-08-28T12:09:36Z
dc.date.available2023-08-28T12:09:36Z
dc.date.created2022-09-08T14:23:21Z
dc.date.issued2022
dc.identifier.citationJournal of Consumer Research. 2022, 49 (2), 359-372.en_US
dc.identifier.issn0093-5301
dc.identifier.urihttps://hdl.handle.net/11250/3086009
dc.description.abstractAs stated in the mission of the Journal of Consumer Research (JCR) (2022) and a recent editorial (Schmitt et al. 2022), JCR is a multi-disciplinary journal where consumer research provides insights about consumers and consumption in the marketplace in a way that meaningfully extends the knowledge from one of our core disciplines (e.g., psychology, sociology, economics) about a consumer-oriented construct. Unfortunately, the labels “consumer research” and “consumer behavior” have come to connote far more than the focus of the work—just as, somewhere along the way, “consumer behavior” and “quant” came to imply a particular type of data source (and associated analysis methods) that is primarily used to study theory and phenomena of interest (experiments vs. “field data”). Why this strong association between consumer-relevant questions, data, and methodology? One reason may be that the field rewards specialization. Another may be due to the incentive structure in business schools (Stremersch, Winer, and Camacho 2021). Nevertheless, the rigid lines dividing the artificially created sub-disciplines are our own making, for better and worse. One way to address this divide and consequently expand the reach of our research beyond those who specialize in our particular sub-disciplines is to use more than one type of data source when addressing a consumer research question. Such data richness is the key theme of this article.en_US
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.titlePromoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sourcesen_US
dc.title.alternativePromoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sourcesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderOxford University Pressen_US
dc.source.pagenumber359-372en_US
dc.source.volume49en_US
dc.source.journalJournal of Consumer Researchen_US
dc.source.issue2en_US
dc.identifier.doi10.1093/jcr/ucac018
dc.identifier.cristin2049971
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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