An Investigation of the Neural Correlates of Purchase Behavior Through Fnirs

dc.contributor.author Cakir, Murat Perit
dc.contributor.author Yurdakul, Dicle
dc.contributor.author Girisken, Yener
dc.contributor.author Çakar, Tuna
dc.contributor.other 02.02. Department of Computer Engineering
dc.contributor.other 02. Faculty of Engineering
dc.contributor.other 01. MEF University
dc.date.accessioned 2019-02-28T13:04:26Z
dc.date.accessioned 2019-02-28T11:08:19Z
dc.date.available 2019-02-28T13:04:26Z
dc.date.available 2019-02-28T11:08:19Z
dc.date.issued 2018
dc.description Tuna Çakar (MEF Author)
dc.description.WoSDocumentType Article
dc.description.WoSIndexDate 2018
dc.description.WoSInternationalCollaboration Uluslararası işbirliği ile yapılmayan - HAYIR
dc.description.abstract Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior based on fNIRS measurements. Design/methodology/approach The oxygenation signals extracted from the purchase trials of each subject were temporally averaged to obtain average signals for buy and pass decisions. The obtained data were analyzed via both linear mixed models for each of the 16 optodes to explore their separate role in the purchasing decision process and a discriminant analysis to construct a classifier for buy/pass decisions based on oxygenation measures from multiple optodes. Findings Positive purchasing decisions significantly increase the neural activity through fronto-polar regions, which are closely related to OFC and vmPFC that modulate the computation of subjective values. The results showed that neural activations can be used to decode the buy or pass decisions with 85 per cent accuracy provided that sensitivity to the budget constraint is provided as an additional factor. Research limitations/implications The study shows that the fNIRS measures can provide useful biomarkers for improving the classification accuracy of purchasing tendencies and might be used as a main or complementary method together with traditional research methods in marketing. Future studies might focus on real-time purchasing processes in a more ecologically valid setting such as shopping in supermarkets. Originality/value This paper uses an emerging neuroimaging method in consumer neuroscience, namely, fNIRS. The decoding accuracy of the model is 85 per cent which presents an improvement over the accuracy levels reported in previous studies. The research also contributes to existing knowledge by providing insights in understanding individual differences and heterogeneity in consumer behavior through neural activities.
dc.identifier.citation Çakir, M. P., Çakar, T., Girisken, Y., & Yurdakul, D. (December, 2018). An investigation of the neural correlates of purchase behavior through fNIRS. (European journal of marketing.)
dc.identifier.doi 10.1108/EJM-12-2016-0864
dc.identifier.issn 0309-0566
dc.identifier.scopus 2-s2.0-85042384807
dc.identifier.uri http://dx.doi.org/10.1108/EJM-12-2016-0864
dc.identifier.uri https://hdl.handle.net/20.500.11779/703
dc.language.iso en
dc.relation.ispartof European Journal Of Marketing
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Purchasing decision
dc.subject Optical brain imaging
dc.subject Neuromarketing
dc.subject Decision-making
dc.subject Purchasing behavior
dc.subject Fnirs
dc.title An Investigation of the Neural Correlates of Purchase Behavior Through Fnirs
dc.type Article
dspace.entity.type Publication
gdc.author.id Tuna Çakar / 0000-0001-8594-7399
gdc.author.institutional Çakar, Tuna
gdc.author.institutional Çakar, Tuna
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
gdc.description.endpage 243
gdc.description.issue 1_2
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.scopusquality Q2
gdc.description.startpage 224
gdc.description.volume 52
gdc.description.woscitationindex Social Science Citation Index
gdc.description.wosquality Q3
gdc.identifier.wos WOS:000425598600011
gdc.oaire.diamondjournal false
gdc.oaire.impulse 20.0
gdc.oaire.influence 3.7837453E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 3.0558105E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.openalex.fwci 2.703
gdc.opencitations.count 45
gdc.plumx.crossrefcites 55
gdc.plumx.mendeley 178
gdc.plumx.scopuscites 65
gdc.publishedmonth Şubat
gdc.scopus.citedcount 66
gdc.wos.citedcount 51
gdc.wos.publishedmonth Şubat
gdc.wos.yokperiod YÖK - 2017-18
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