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The Diderot effect

2025-01-08Artigo científico Acesso aberto
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dc.contributor.authorSantos, André
dc.contributor.authorAntónio, Nuno
dc.contributor.authorRita, Paulo
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblPalgrave Macmillan
dc.date.accessioned2025-01-13T21:24:04Z
dc.date.embargoedUntil2026-01-08
dc.date.issued2025-01-08
dc.descriptionSantos, A., António, N., & Rita, P. (2025). The Diderot effect: a data-driven validation. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-024-00371-6 --- %ABS1% --- Nuno António and Paulo Rita were supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS) (https://doi.org/10.54499/UIDB/04152/2020).
dc.description.abstractAlthough it is theorized that consumer decisions are commonly irrational and based on systematic biases, there remains a need for more data-driven research to validate and expand upon these assumptions fully. This study is one of the few that, based on analysis and interpretation of complex data instead of qualitative methods, validates one of those biases, the Diderot effect. This study presents a conceptual model and a pioneering research approach combining indirect data and machine learning techniques to validate the manifestation of the Diderot effect on the purchase process of products of a specific category through an online retailer. Results showed that a laptop computer could be one of those products and that consumers might be more predisposed to making unforeseen purchases when they are already in a spending mindset. The findings highlight opportunities for marketing professionals to leverage the Diderot effect, creating value for consumers and organizations.en
dc.description.versionauthorsversion
dc.description.versionepub_ahead_of_print
dc.format.extent953087
dc.identifier.doi10.1057/s41270-024-00371-6
dc.identifier.issn2050-3318
dc.identifier.otherPURE: 105978314
dc.identifier.otherPURE UUID: c0d1fd3e-9e6a-4aa1-a57f-2c912131f880
dc.identifier.otherScopus: 85217223758
dc.identifier.otherWOS: 001391706400001
dc.identifier.otherORCID: /0000-0001-6050-9958/work/175650758
dc.identifier.urihttp://hdl.handle.net/10362/177358
dc.identifier.urlhttps://www.scopus.com/pages/publications/85217223758
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001391706400001
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationInformation Management Research Center
dc.subjectDiderot effect
dc.subjectConsumer Buying Behavior
dc.subjectComplementary Products
dc.subjectGeneralized Sequential Pattern Algorithm
dc.subjectBiases
dc.subjectMachine Learning
dc.subjectEconomics, Econometrics and Finance (miscellaneous)
dc.subjectStrategy and Management
dc.subjectStatistics, Probability and Uncertainty
dc.subjectMarketing
dc.subjectSDG 12 - Responsible Consumption and Production
dc.titleThe Diderot effecten
dc.title.subtitlea data-driven validationen
dc.typejournal article
degois.publication.titleJournal of Marketing Analytics
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)