The Effect of Product Image Dynamism on Purchase Intention for Online Aquatic Product Shopping: An EEG Study

References

• Ert E, Fleischer A, Magen N. Trust and reputation in the sharing economy: the role of personal photos in Airbnb. Tourism Manage. 2016;55:62–73. doi:10.1016/j.tourman.2016.01.013
   Web of Science ®Google Scholar
• Brom FW. Food, consumer concerns, and trust: food ethics for a globalizing market. J Agri Environ Ethics. 2000;12(2):127–139. doi:10.1023/A:1009586529518
   Web of Science ®Google Scholar
• Jonge JD, Trijp HV, Goddard E, Frewer L. Consumer confidence in the safety of food in Canada and the Netherlands: the validation of a generic framework. Food Qua Pref. 2008;19(5):439–451.
   Web of Science ®Google Scholar
• Sapp SG, Arnot C, Fallon J, et al. Consumer trust in the US food system: an examination of the recreancy theorem. Rural Sociol. 2009;74(4):525–545. doi:10.1526/003601109789863973
   Web of Science ®Google Scholar
• Zhang H, Liu Y, Zhang Q, Cui Y, Xu S. A Bayesian network model for the reliability control of fresh food e-commerce logistics systems. Soft Computing. 2020;1–21.
   Web of Science ®Google Scholar
• Michaelidou N, Hassan L. The role of health consciousness, food safety concern and ethical identity on attitudes and intentions towards organic food. Int J Consumer Stud. 2010;32:2.
   Web of Science ®Google Scholar
• Fabinyi M, Liu N, Song Q, Li R. Aquatic product consumption patterns and perceptions among the Chinese middle class. Regional Stud Marine Sci. 2016;7:1–9. doi:10.1016/j.rsma.2016.01.013
   Web of Science ®Google Scholar
• Hu Y, Yuan C, Yu K, et al. An online survey study of consumer preferences on aquatic products in China: current seafood consumption patterns and trends. Fisheries Aquaculture J. 2014;5(2):1.
   Google Scholar
• Zhang Y. Application of improved BP neural network based on e-commerce supply chain network data in the forecast of aquatic product export volume. Cogn Syst Res. 2019;57:228–235. doi:10.1016/j.cogsys.2018.10.025
   Web of Science ®Google Scholar
• Roggeveen AL, Grewal D, Townsend C, Krishnan R. The impact of dynamic presentation format on consumer preferences for hedonic products and services. J Mark. 2015;79(6):34–49. doi:10.1509/jm.13.0521
   Web of Science ®Google Scholar
• Thomas N, Mulligan JJ. Dynamic imagery in children’s representations of number. Mathematics Educ Res J. 1995;7(1):5–25.
   Google Scholar
• Cian L, Krishna A, Elder RS. This logo moves me: dynamic imagery from static images. J Marketing Res. 2014;51(2):184–197. doi:10.1509/jmr.13.0023
   Web of Science ®Google Scholar
• Cian L, Krishna A, Elder RS. A sign of things to come: behavioral change through dynamic iconography. J Consumer Res. 2015;41(6):1426–1446. doi:10.1086/680673
   Web of Science ®Google Scholar
• Algharabat R, Alalwan AA, Rana NP, Dwivedi YK. Three dimensional product presentation quality antecedents and their consequences for online retailers: the moderating role of virtual product experience. J Retailing Consumer Serv. 2017;36:203–217. doi:10.1016/j.jretconser.2017.02.007
   Web of Science ®Google Scholar
• Boksem MA, Smidts A. Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success. J Marketing Res. 2015;52(4):482–492. doi:10.1509/jmr.13.0572
   Web of Science ®Google Scholar
• Wuke Z, Jin J, Wang A, Ma Q, Yu H. Consumers’ implicit motivation of purchasing luxury brands: an EEG study. Psychol Res Behav Manag. 2019;12:913–929. doi:10.2147/PRBM.S215751
   PubMed Web of Science ®Google Scholar
• Jin J, Dou X, Meng L, Yu H. Environmental-friendly eco-labeling matters: evidences from an ERPs Study. Front Hum Neurosci. 2018;12.
   PubMed Web of Science ®Google Scholar
• Pozharliev R, Verbeke W, Van Strien J, Bagozzi R. Merely being with you increases my attention to luxury products: using EEG to understand consumers’ emotional experience of luxury branded products. J Marketing Res. 2015;52:150409072827005. doi:10.1509/jmr.13.0560
   Web of Science ®Google Scholar
• Folstein JR, Petten CV. Influence of cognitive control and mismatch on the N2 component of the ERP: a review. 2008;45(1):2147483640–2147483647.
   Google Scholar
• Eimer M. Effects of attention and stimulus probability on ERPs in a Go/NoGo task. Biol Psychol. 1993;35:123–138. doi:10.1016/0301-0511(93)90009-W
   PubMed Web of Science ®Google Scholar
• Jin J, Wuke Z, Chen M. How consumers are affected by product descriptions in online shopping: event-related potentials evidence of the attribute framing effect. Neurosci Res. 2017;125:125. doi:10.1016/j.neures.2017.07.006
   Web of Science ®Google Scholar
• Ma Q, Wang K, Wang X, Wang C, Wang L. The influence of negative emotion on brand extension as reflected by the change of N2: a preliminary study. Neurosci Lett. 2010;485:237–240. doi:10.1016/j.neulet.2010.09.020
   PubMed Web of Science ®Google Scholar
• Shang Q, Pei G, Jin J. My friends have a word for it: event-related potentials evidence of how social risk inhibits purchase intention. Neurosci Lett. 2017;643:643. doi:10.1016/j.neulet.2017.02.023
   Web of Science ®Google Scholar
• Schmitt BM, Schiltz K, Zaake W, Kutas M, Münte T. An electrophysiological analysis of the time course of conceptual and syntactic encoding during tacit picture naming. J Cogn Neurosci. 2001;13(4):510–522. doi:10.1162/08989290152001925
   PubMed Web of Science ®Google Scholar
• Schmitt BM, Rodriguez-Fornells A, Kutas M, Münte TF. Electrophysiological estimates of semantic and syntactic information access during tacit picture naming and listening to words. Neurosci Res. 2001;41(3):293–298. doi:10.1016/S0168-0102(01)00286-3
   PubMed Web of Science ®Google Scholar
• Krishna A, Cian L, Sokolova T. The power of sensory marketing in advertising. Current Opinion Psychol. 2016;10:142–147.
   Web of Science ®Google Scholar
• Thiruchselvam R, Blechert J, Sheppes G, Rydstrom A, Gross JJ. The temporal dynamics of emotion regulation: an EEG study of distraction and reappraisal. Biol Psychol. 2011;87(1):84–92. doi:10.1016/j.biopsycho.2011.02.009
   PubMed Web of Science ®Google Scholar
• Yongbin M, Jin J, Yu W, et al. How is the neural response to the design of experience goods related to personalized preference? An implicit view. Front Neurosci. 2018;12:760. doi:10.3389/fnins.2018.00760
   PubMed Web of Science ®Google Scholar
• Yu H, Dan M, Ma Q, Jin J. They all do it, will you? Event-related potential evidence of herding behavior in online peer-to-peer lending. Neurosci Lett. 2018;681.
   Web of Science ®Google Scholar
• Ma Q, Hu Y, Pei G, Xiang T. Buffering effect of money priming on negative emotions—An ERP study. Neurosci Lett. 2015;606:77–81. doi:10.1016/j.neulet.2015.08.048
   PubMed Web of Science ®Google Scholar
• Association GAotWM. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent. 2014;81(3):14.
   PubMedGoogle Scholar
• Semlitsch HV, Anderer P, Schuster P, Presslich O. A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP. Psychophysiology. 1986;23(6):695–703. doi:10.1111/j.1469-8986.1986.tb00696.x
   PubMed Web of Science ®Google Scholar
• Picton T, Bentin S, Berg P, et al. Guidelines for using human event-related potentials to study cognition: recording standards and publication criteria. Psychophysiology. 2000;37(2):127–152. doi:10.1111/1469-8986.3720127
   PubMed Web of Science ®Google Scholar
• Greenhouse S, Geisser S. On methods in the analysis of profile data. Psychometrika. 1959;24:95–112. doi:10.1007/BF02289823
   Web of Science ®Google Scholar
• McCubbin S, Pearce T, Ford J, Smit B. Social–ecological change and implications for food security in Funafuti, Tuvalu. Ecol Soc. 2017;22.
   Web of Science ®Google Scholar
• Pulcini D, Franceschini S, Buttazzoni L, Giannetti C, Capoccioni F. Consumer preferences for farmed seafood: an Italian case study. J Aquatic Food Prod Technol. 2020;29(5):445–460. doi:10.1080/10498850.2020.1749201
   Web of Science ®Google Scholar
• Amit E, Hoeflin C, Hamzah N, Fedorenko E. An asymmetrical relationship between verbal and visual thinking: converging evidence from behavior and fMRI. NeuroImage. 2017;152:619–627. doi:10.1016/j.neuroimage.2017.03.029
   PubMed Web of Science ®Google Scholar
• Adaval R, Saluja G, Jiang Y. Seeing and thinking in pictures: a review of visual information processing. Consumer Psychol Rev. 2019;2(1):50–69.
   Google Scholar
• O’Craven KM, Kanwisher N. Visual Imagery of Moving Stimuli Activates Area MT/MST. New Orleans; 1997.
   Google Scholar
• Philip H, Goebel B, Pace N. Impact of culture-independent studies on the emerging phylogenetic view of bacterial bio-diversity. J Bacteriol. 1998;180:4765–4774. doi:10.1128/JB.180.18.4765-4774.1998
   PubMed Web of Science ®Google Scholar
• Neupärtl N, Tatai F, Rothkopf CA. Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS Comput Biol. 2020;16(10):e1007730. doi:10.1371/journal.pcbi.1007730
   PubMed Web of Science ®Google Scholar
• Pieters R, Wedel M, Batra R. The stopping power of advertising: measures and effects of visual complexity. J Mark. 2010;74(5):48–60. doi:10.1509/jmkg.74.5.048
   Web of Science ®Google Scholar
• Pieters R, Wedel M. Attention capture and transfer in advertising: brand, pictorial, and text-size effects. J Mark. 2004;68(2):36–50. doi:10.1509/jmkg.68.2.36.27794
   Web of Science ®Google Scholar
• Rietveld R, van Dolen W, Mazloom M, Worring M. What you feel, is what you like influence of message appeals on customer engagement on Instagram. J Interactive Marketing. 2020;49:20–53. doi:10.1016/j.intmar.2019.06.003
   Web of Science ®Google Scholar