Neuromarketing: Its current status and research perspectives
DOI:
https://doi.org/10.18046/j.estger.2020.157.3890Keywords:
neuromarketing, consumer neuroscience, consumer behavior, scientific mapping, bibliometrics, systematic reviewAbstract
This document aims to conduct a literature review in order to identify evolution and research trends in the area of neuromarketing. To achieve this objective, a science mapping approach was adopted. Science mapping is an innovative and appropriate tool used in systematic literature reviews by integrating bibliometrics and network analyses. In the case of this paper, an exploration of the Web of Science (WoS) and Scopus databases was carried out. The records obtained enabled the construction of the network of the most relevant documents in the field, which were categorized into “classical”, “structural”, and “recent”. This process allowed for the identification of three perspectives or research correlates. Additionally, it became evident that neuromarketing is still an immature and incipient area with a low degree of theoretical consensus.
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Achrol, R. S. & Kotler, P. (2012). Frontiers of the marketing paradigm in the third millennium. Journal of the academy of marketing science, 40(1), 35-52. https://doi.org/10.1007/s11747-011-0255-4
Addor, N. & Melsen, L. A. (2019). Legacy, rather than adequacy, drives the selection of hydrological models. Water resources research, 55(1), 378-390. https://doi.org/10.1029/2018WR022958
Aftanas, L. I., Reva, N. V., Varlamov, A. A., Pavlov, S. V. & Makhnev, V. P. (2004). Analysis of evoked EEG synchronization and desynchronization in conditions of emotional activation in humans: temporal and topographic characteristics. Neuroscience and behavioral physiology, 34(8), 859-867. https://doi.org/10.1023/B:NEAB.0000038139.39812.eb
Alhajj, R., & Rokne, J. (Eds.). (2014). Science of science (Sci2) tool. In Encyclopedia of social network analysis and mining (pp. 1651-1651). New York: Springer. https://doi.org/10.1007/978-1-4614-6170-8_110036
Al-Kwifi, S. O. (2016). The role of fMRI in detecting attitude toward brand switching: an exploratory study using high technology products. Journal of product and brand management, 25(2), 208-218. https://doi.org/10.1108/JPBM-12-2014-0774
Almeida, F. & de Paula, L. G. (2019). The place of uncertainty in heterodox economics journals: a bibliometric study. Journal of economic issues, 53(2), 553-562. https://doi.org/10.1080/00213624.2019.1603771
Aria, M. & Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
Ariely, D. & Berns, G. S. (2010). Neuromarketing: the hope and hype of neuroimaging in business. Nature reviews neuroscience, 11(4), 284-292. https://doi.org/10.1038/nrn2795
Astolfi, L., Cincotti, F., Mattia, D., Marciani, M. G., Baccala, L. A., de Vico Fallani, F. … & Babiloni, F. (2007a). Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Human brain mapping, 28(2), 143-157. https://doi.org/10.1002/hbm.20263
Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Bianchi, L., Marciani, M. G. … & Babiloni, F. (2008). Neural basis for brain responses to TV commercials: a high-resolution EEG study. IEEE Transactions on neural systems and rehabilitation engineering, 16(6), 522-531. https://doi.org/10.1109/TNSRE.2008.2009784
Astolfi, L., de Vico Fallani, F., Cincotti, F., Mattia, D., Marciani, M. G., Bufalari, S. … & Babiloni, F. (2007b). Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Psychophysiology, 44(6), 880-893. https://doi.org/10.1111/j.1469-8986.2007.00556.x
Astolfi, L., Vecchiato, G., De Vico Fallani, F., Salinari, S., Cincotti, F., Aloise, F. … & Babiloni, F. (2009). The track of brain activity during the observation of TV commercials with the high-resolution EEG technology. Computational intelligence and neuroscience, 652078. https://doi.org/10.1155/2009/652078
Babiloni, F., Cincotti, F., Babiloni, C., Carducci, F., Mattia, D., Astolfi, L. … & He, B. (2005). Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. NeuroImage, 24(1), 118-131. https://doi.org/10.1016/j.neuroimage.2004.09.036
Bar-Ilan, J. (2008). Which h-index? - A comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257-271. https://doi.org/10.1007/s11192-008-0216-y
Bar-Ilan, J. (2010). Citations to the “Introduction to informetrics” indexed by WOS, Scopus and Google Scholar. Scientometrics, 82(3), 495-506. https://doi.org/10.1007/s11192-010-0185-9
Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. In third international AAAI conference on weblogs and social media. Retrieved from: https://gephi.org/users/publications/
Blondel, V. D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of statistical mechanics, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
Bollobas, B. (1984). The evolution of random graphs. American mathematical society, 286(1), 257-274. https://doi.org/10.2307/1999405
Bond, M. & Buntins, K. (2018). An analysis of the Australasian journal of educational technology 2013-2017. Australasian journal of educational technology, 34(4). https://doi.org/10.14742/ajet.4359
Borghini, G., Aricò, P., Di Flumeri, G., Cartocci, G., Colosimo, A., Bonelli, S. … & Babiloni, F. (2017). EEG-Based cognitive control behaviour assessment: an ecological study with professional air traffic controllers. Scientific Reports, 7(1), 547. https://doi.org/10.1038/s41598-017-00633-7
Borghini, G., Astolfi, L., Vecchiato, G., Mattia, D. & Babiloni, F. (2014). Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neuroscience and biobehavioral reviews, 44, 58-75. https://doi.org/10.1016/j.neubiorev.2012.10.003
Braeutigam, S., Lee, N. & Senior, C. (2019). A role for endogenous brain states in organizational research: moving toward a dynamic view of cognitive processes. Organizational research methods, 22(1), 332- 353. https://doi.org/10.1177/1094428117692104
Buitrago, S., Duque, P. & Robledo, S. (2020). Branding corporativo: una revisión bibliográfica. Económicas CUC, 41(1), 143-162. https://doi.org/10.17981/econcuc.41.1.2020.Org.1
Cartocci, G., Caratù, M., Modica, E., Maglione, A. G., Rossi, D., Cherubino, P. & Babiloni, F. (2017). Electroencephalographic, heart rate, and galvanic skin response assessment for an advertising perception study: application to antismoking public service announcements. JoVE (Journal of Visualized Experiments), (126), e55872. https://doi.org/10.3791/55872
Crespo-Pereira, V. & Legerén-Lago, B. (2018). El uso de la neurociencia en el diseño de contenidos transmedia en los canales de televisión públicos de Europa: videojuegos y social TV. EDMETIC, 7(2), 37-56. https://doi.org/10.21071/edmetic.v7i2.10981
Culnan, M. J. (1986). The intellectual development of management information systems, 1972-1982: a co-citation analysis. Management science, 32, 156-172. https://doi.org/10.1287/mnsc.32.2.156
Davidson, R. J., & Irwin, W. (1999). The functional neuroanatomy of emotion and affective style. Trends in Cognitive Sciences, 3(1), 11-21. https://doi.org/10.1016/S1364-6613(98)01265-0
Deppe, M., Schwindt, W., Kugel, H., Plaßmann, H. & Kenning, P. (2005). Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. Journal of neuroimaging: official journal of the American society of neuroimaging, 15(2), 171-182. https://doi.org/10.1111/j.1552-6569.2005.tb00303.x
Duque, P. L. (2014). Neuromarketing una herramienta validadora en la toma de decisiones en mercadeo visual-auditivo. Retrieved from: http://bdigital.unal.edu.co/40204/
Duque-Hurtado, P., Toro-Cardona, A., Ramírez-Carvajal, D., & Carvajal- Henao, M. E. (2020). Marketing viral: Aplicación y tendencias. Clío América, 14(27), 1-15. http://dx.doi.org/10.21676/23897848.3759
Duque, P. & Cervantes-Cervantes, L.-S. (2019). Responsabilidad social universitaria: una revisión sistemática y análisis bibliométrico. Estudios Gerenciales, 35(153), 451-464. https://doi.org/10.18046/j.estger.2019.153.3389
Duque, P., & Duque, E. J. (2020). Marketing digital y comercio electrónico: un análisis bibliométrico. En M. I. Redondo Ramírez, A. M. Barrera Rodríguez, & C. C. Duque Gómez (Eds.), Nuevos modelos de negocio (pp. 74-96). Centro de Investigaciones Facultad de Ciencias Económicas, Administrativas y Contables. http://hdl.handle.net/10901/18463
Erk, S., Spitzer, M., Wunderlich, A. P., Galley, L. & Walter, H. (2002). Cultural objects modulate sureward circuitry. Neuroreport, 13(18), 2499-2503. https://doi.org/10.1097/00001756-200212200-00024
Fehse, K., Simmank, F., Gutyrchik, E., & Sztrókay-Gaul, A. (2017). Organic or popular brands-food perception engages distinct functional pathways. An fMRI study. Cogent Psychology, 4(1), 1284392. https://doi.org/10.1080/23311908.2017.1284392
Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35-41. https://doi.org/10.2307/3033543
Fugate, D. L. (2007). Neuromarketing: a layman’s look at neuroscience and its potential application to marketing practice. Journal of consumer marketing, 24(7), 385-394. https://doi.org/10.1108/07363760710834807
Gani, M. O., Alam, M. Z., Alom, M. Z., & Faruq, M. O. (2018). Challenges and prospects of neuromarketing: Bangladesh perspective. Marketing and management of innovations, (2), 327-338. https://doi.org/10.21272/mmi.2018.2-25
Gavel, Y., & Iselid, L. (2008). Web of Science and Scopus: a journal title overlap study. Online Information Review, 32(1), 8-21. https://doi.org/10.1108/14684520810865958
Goto, N., Mushtaq, F., Shee, D., Lim, X. L., Mortazavi, M., Watabe, M. & Schaefer, A. (2017). Neural signals of selective attention are modulated by subjective preferences and buying decisions in a virtual shopping task. Biological Psychology, 128, 11-20. https://doi.org/10.1016/j.biopsycho.2017.06.004
Guixeres, J., Bigné, E., Ausín Azofra, J. M., Alcañiz Raya, M., Colomer Granero, A., Fuentes Hurtado, F. & Naranjo Ornedo, V. (2017). Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising. Frontiers in psychology, 8, 1808. https://doi.org/10.3389/fpsyg.2017.01808
Harris, J. M., Ciorciari, J. & Gountas, J. (2018). Consumer neuroscience for marketing researchers. Journal of consumer behaviour, 17(3), 239-252. https://doi.org/10.1002/cb.1710
Hernández-Leal, E. J., Duque-Méndez, N. D. & Moreno-Cadavid, J. (2017). Big Data: una exploración de investigaciones, tecnologías y casos de aplicación. TecnoLógica, 20(39), 15-38. https://doi.org/10.22430/22565337.685
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
Hsu, M. (2017). Neuromarketing: inside the mind of the consumer. California management review, 59(4), 5-22. https://doi.org/10.1177/0008125617720208
Hsu, M.Y-T. & Cheng, J. M.-S. (2018). fMRI neuromarketing and consumer learning theory: Word-of-mouth effectiveness after product harm crisis. European journal of marketing, 52(1/2), 199- 223. https://doi.org/10.1108/EJM-12-2016-0866
Hubert, M., & Kenning, P. (2008). A current overview of consumer neuroscience. Journal of Consumer Behaviour, 7(4-5), 272-292. http://dx.doi.org/10.1002/cb.251"10.1002/cb.251
Jiménez, G. J., & Zambrano, R. E. (2018). Marketing sensorial: merchandising a través de las emociones en el punto de venta. Análisis de un caso. adComunica. Revista científica de estrategias, tendencias e innovación en comunicación, (15), 235-253. https://doi.org/10.6035/2174-0992.2018.15.12
Kenning, P. H. & Plassmann, H. (2008). How neuroscience can inform consumer research. IEEE transactions on neural systems and rehabilitation engineering 16(6), 532-538. https://doi.org/10.1109/TNSRE.2008.2009788
Kenning, P. & Linzmajer, M. (2011). Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy. Journal Für Verbraucherschutz Und Lebensmittelsicherheit, 6(1), 111-125. https://doi.org/10.1007/s00003-010-0652-5
Khushaba, R. N., Wise, C., Kodagoda, S., Louviere, J., Kahn, B. E. & Townsend, C. (2013). Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert systems with applications, 40, 3803-3812. https://doi.org/10.1016/j.eswa.2012.12.095
Kim, J.-Y., Kim, K.-I., Han, C.-H., Lim, J.-H. & Im, C.-H. (2016). Estimating consumers’ subjective preference using functional near infrared spectroscopy: a feasibility study. Journal of near infrared spectroscopy, 24(5), 433-441. https://doi.org/10.1255/jnirs.1242
Klucharev, V., Smidts, A., & Fernández, G. (2008). Brain mechanisms of persuasion: how “expert power” modulates memory and attitudes. Social cognitive and affective neuroscience, 3(4), 353-366. https://doi.org/10.1093/scan/nsn022
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D. & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147-156. https://doi.org/10.1016/j.neuron.2006.11.010
Lee, N., Broderick, A. J. & Chamberlain, L. (2007). What is “neuromarketing”? A discussion and agenda for future research. International journal of psychophysiology, 63(2), 199-204 https://doi.org/10.1016/j.ijpsycho.2006.03.007
Lee, N., Chamberlain, L. & Brandes, L. (2018). Welcome to the jungle! The neuromarketing literature through the eyes of a newcomer. European journal of marketing, 52(1/2), 4-38. https://doi.org/10.1108/EJM-02-2017-0122
Lim, W. M. (2018). Demystifying neuromarketing. Journal of business research, 91, 205-220. https://doi.org/10.1016/j.jbusres.2018.05.036
Ma, Q., Zhang, L. & Wang, M. (2018). “You win, you buy”-how continuous win effect influence consumers’ price perception: An ERP study. Frontiers in neuroscience, 12, 691. https://doi.org/10.3389/fnins.2018.00691
Martínez-Cañas, R., Ruiz-Palomino, P., Linuesa-Langreo, J. & Blázquez-Resino, J. J. (2016). Consumer participation in co-creation: an enlightening model of causes and effects based on ethical values and transcendent motives. Frontiers in psychology, 7, 793. https://doi.org/10.3389/fpsyg.2016.00793
McCain, K. W. (1990). Mapping authors in intellectual space: a technical overview. Journal of the american society for information science, 41, 433-443. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q
McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M. & Montague, P. R. (2004). Neural correlates of behavioral preference for culturally familiar drinks. Neuron, 44(2), 379-387. https://doi.org/10.1016/j.neuron.2004.09.019
Medina, J., Ojeda-Aciego, M., Verdegay, J. L., Perfilieva, I., Bouchon- Meunier, B. & Yager, R. R. (Eds.). (2018). Information processing and management of uncertainty in knowledge-based systems. applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part iii. https://doi.org/10.1007/978-3-319-91479-4
Murphy, E. R., Illes, J. & Reiner, P. B. (2008). Neuroethics of neuromarketing. Journal of consumer behaviour, 7(4-5), 293-302. https://doi.org/10.1002/cb.252
Ni, C., Sugimoto, C. R., & Jiang, J. (2011). Degree, Closeness, and Betweenness: Application of group centrality measurements to explore macro-disciplinary evolution diachronically. Retrieved from: https://n9.cl/azsez
Ohme, R., Reykowska, D., Wiener, D. & Choromanska, A. (2010). Application of frontal EEG asymmetry to advertising research. Journal of economic psychology, 31(5), 785-793. https://doi.org/10.1016/j.joep.2010.03.008
Paulus, M. P., & Frank, L. R. (2003). Ventromedial prefrontal cortex activation is critical for preference judgments. Neuroreport, 14(10), 1311-1315. https://doi.org/10.1097/01.wnr.0000078543.07662.02
Plassmann, H., O’Doherty, J., Shiv, B., & Rangel, A. (2008). Marketing actions can modulate neural representations of experienced pleasantness. Proceedings of the national academy of sciences, 105(3), 1050-1054. https://doi.org/10.1073/pnas.0706929105
Plassmann, H., Ramsøy, T. Z. & Milosavljevic, M. (2012). Branding the brain: A critical review and outlook. Journal of consumer psychology, 22(1), 18-36. https://doi.org/10.1016/j.jcps.2011.11.010
Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer neuroscience: applications, challenges, and possible solutions. Journal of marketing research, 52(4), 427-435. https://doi.org/10.1509/jmr.14.0048
Ramsøy, T. Z., Skov, M., Christensen, M. K. & Stahlhut, C. (2018). Frontal brain asymmetry and willingness to pay. Frontiers in neuroscience, 12, 138. https://doi.org/10.3389/fnins.2018.00138
Reimann, M., Zaichkowsky, J., Neuhaus, C., Bender, T. & Weber, B. (2010). Aesthetic package design: A behavioral, neural, and psychological investigation. Journal of consumer psychology, 20(4), 431-441. https://doi.org/10.1016/j.jcps.2010.06.009
Robledo, S., Osorio, G. & Lopez, C. (2014). Networking en pequeña empresa: una revisión bibliográfica utilizando la teoria de grafos, Revista vínculos, 11(2), 6-16. https://doi.org/10.14483/2322939X.9664
Salazar, D. F. T., Álvarez, J. M. R., Garcés, J. J. H., & Duque, P. (2020). Riesgos en las Microfinanzas: Una revisión y análisis Bibliométrico*. Interfaces, 3(2). http://www.unilibrecucuta.edu.co/ojs/index.php/ingenieria/article/view/484
Sircar, S., Nerur, S. P., & Mahapatra, R. (2001). Revolution or evolution? a comparison of object-oriented and structured systems development methods. MIS Quarterly, 25, 457. https://doi.org/10.2307/3250991
Solnais, C., Andreu-Perez, J., Sánchez-Fernández, J. & Andréu-Abela, J. (2013). The contribution of neuroscience to consumer research: a conceptual framework and empirical review. Journal of economic psychology, 36, 68-81. https://doi.org/10.1016/j.joep.2013.02.011
Solomon, P. R. (2018). Neuromarketing-applications, challenges and promises. Biomedical journal of scientific and technical research, 12(2), 9136-9146. https://doi.org/10.26717/BJSTR.2018.12.002230
Stoll, M., Baecke, S. & Kenning, P. (2008). What they see is what they get? An fMRI-study on neural correlates of attractive packaging. Journal of consumer behaviour, 7(4-5), 342-359. https://doi.org/10.1002/cb.256
Telpaz, A., Webb, R. & Levy, D. J. (2015). Using EEG to predict consumers’ future choices. JMR, Journal of marketing research, 52(4), 511-529. https://doi.org/10.1509/jmr.13.0564
Toro, J., & Rodríguez, M. del P. (2017). Formación en ética en las organizaciones: revisión de la literatura. Información tecnológica, 28(2), 167-180. https://doi.org/10.4067/S0718-07642017000200018
Tusche, A., Bode, S. & Haynes, J.-D. (2010). Neural responses to unattended products predict later consumer choices. Journal of neuroscience, 30(23), 8024-8031. https://doi.org/10.1523/JNEUROSCI.0064-10.2010
Ulman, Y. I., Cakar, T., & Yildiz, G. (2015). Ethical Issues in Neuromarketing: “I Consume, Therefore I am!”. Science and engineering ethics, 21(5), 1271-1284. https://doi.org/10.1007/s11948-014-9581-5
Utkutug-Bozoklu, C., & Alki´bay, S. (2016). Neuroscience in marketing: assessment of advertisement memory by means of facial muscles movement analysis. Journal of Neurological Sciences, 33(1), 76-88. Retrieved from https://www.nsnjournal.org/sayilar/99/buyuk/pdf_JNS_952.pdf
Varan, D., Lang, A., Barwise, P., Weber, R. & Bellman, S. (2015). How reliable are neuromarketers’ measures of advertising effectiveness?: Data from ongoing research holds no common truth among vendors. Journal of advertising research, 55(2), 176- 191. https://doi.org/10.2501/JAR-55-2-176-191
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., … & Babiloni, F. (2011a). On the use of EEG or MEG brain imaging tools in neuromarketing research. Computational intelligence and neuroscience, 2011, 1-12. https://doi.org/10.1155/2011/643489
Vecchiato, G., Astolfi, L., Tabarrini, A., Salinari, S., Mattia, D., Cincotti, F., …& Babiloni, F. (2010). EEG analysis of the brain activity during the observation of commercial, political, or public service announcements. Computational intelligence and neuroscience, 985867. https://doi.org/10.1155/2010/985867
Vecchiato, G., Cherubino, P., Maglione, A. G., Ezquierro, M. T. H., Marinozzi, F., Bini, F., …& Babiloni, F. (2014a). How to measure cerebral correlates of emotions in marketing relevant tasks. Cognitive computation, 6(4), 856-871. https://doi.org/10.1007/s12559-014-9304-x
Vecchiato, G., Maglione, A. G., Cherubino, P., Wasikowska, B., Wawrzyniak, A., Latuszynska, A., … & Babiloni, F. (2014b). Neurophysiological tools to investigate consumer’s gender differences during the observation of TV commercials. Computational and mathematical methods in medicine, 2014, 1-12. https://doi.org/10.1155/2014/912981
Vecchiato, G., Toppi, J., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., … & Babiloni, F. (2011b). Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical and biological engineering and computing, 49(5), 579-583. https://doi.org/10.1007/s11517-011-0747-x
Venkatraman, V., Clithero, J. A., Fitzsimons, G. J. & Huettel, S. A. (2012). New scanner data for brand marketers: How neuroscience can help better understand differences in brand preferences. Journal of consumer psychology, 22, 143-153. https://doi.org/10.1016/j.jcps.2011.11.008
Victoria, J., Arjona, J. & Repiso, R. (2015). El paradigma del neuromarketing a la luz de su producción científica. Enl@ce: revista Venezolana de información, tecnología y conocimiento, 12(2), 26-40.
Vieira, E. S. & Gomes, J. A. N. F. (2009). A comparison of Scopus and Web of Science for a typical university. Scientometrics, 81(2), 587- 600. https://doi.org/10.1007/s11192-009-2178-0
Wallis, W. D. (2000). A beginner’s guide to graph theory. Boston: Springer. https://doi.org/10.1007/978-1-4757-3134-7
Wasserman, S. & Faust, K. (1994). Social network analysis: methods and applications (1.a ed.). Cambridge: Cambridge University Press. https://doi.org/10.1017/cbo9780511815478
Weitz, B. A., & Wensley, R. (Ed.). (2006). Handbook of marketing (Paperback ed). London: Sage.
White, H. D. (2003). Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists. Journal of the American Society for Information Science and Technology, 54(5), 423-434. https://doi.org/10.1002/asi.10228
White, H. D. & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American society for information science, 32(3), 163-171. https://doi.org/10.1002/asi.4630320302
Wilson, R. M., Gaines, J. & Hill, R. P. (2008). Neuromarketing and consumer free will. The journal of consumer affairs, 42(3), 389-410. https://doi.org/10.1111/j.1745-6606.2008.00114.x
Yağci, M. İ., Kuhzady, S., Balik, Z. S., & Öztürk, L. (2018). In search of consumer’s black box: a bibliometric analysis of neuromarketing research. Journal of consumer and consumption research, 10(1), 101-134.
Yoon, C., Gonzalez, R., Bechara, A., Berns, G. S., Dagher, A. A., Dubé, L., …& Spence, C. (2012). Decision neuroscience and consumer decision making. Marketing letters, 23(2), 473-485. https://doi.org/10.1007/s11002-012-9188-z
Yoon, C., Gutchess, A. H., Feinberg, F., & Polk, T. A. (2006). A functional magnetic resonance imaging study of neural dissociations between brand and person judgments. Journal of consumer research, 33, 31- 40. https://doi.org/10.1086/504132
Zuluaga, M., Robledo, S., Osorio Zuluaga, G. A., Yathe, L., Gonzalez, D. & Taborda, G. (2016). Metabolómica y pesticidas: revisión sistemática de literatura usando teoría de grafos para el análisis de referencias. Nova, 14(25), 121-138. https://doi.org/10.22490/24629448.1735
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Articles are the sole responsibility of their authors, and will not compromise Icesi’s University principles or policies nor those of the Editorial Board of the journal Estudios Gerenciales. Authors authorize and accept the transfer of all rights to the journal, both for its print and electronic publication. After an article is published, it may be reproduced without previous permission of the author or the journal but the author(s), year, title, volume, number and range of pages of the publication must be mentioned. In addition, Estudios Gerenciales must be mentioned as the source (please, refrain from using Revista Estudios Gerenciales).
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