Neuromarketing: seu estado atual e perspectivas de pesquisa
DOI:
https://doi.org/10.18046/j.estger.2020.157.3890Palavras-chave:
neuromarketing, neurociência do consumidor, comportamento do consumidor, mapeamento científico, bibliometria, revisão sistemáticaResumo
Este documento teve como objetivo realizar uma revisão da literatura para identificar a evolução e tendências de pesquisas na área de neuromarketing. Para isso, foi utilizada uma abordagem de mapeamento científico como ferramenta inovadora e adequada para desenvolver revisões sistemáticas de literatura, que integra bibliometria e análise de redes. Foi realizada uma exploração nos bancos de dados Web of Science e Scopus. Os registros obtidos permitiram a construção da rede dos documentos mais relevantes sobre o assunto, os quais foram categorizados em clássicos, estruturais e recentes. Esse processo permitiu a identificação de três perspectivas ou correntes de pesquisa. Além disso, evidenciou-se que o neuromarketing ainda é uma área imatura e incipiente com baixo grau de consenso teórico.
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Referências
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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Os autores dos artigos serão responsáveis dos mesmos e, assim, não comprometam os princípios ou políticas da Universidade Icesi nem do Conselho Editorial da revista Estudios Gerenciales. Os autores autorizam e aceitam a transferência de todos os direitos para a revista Estudios Gerenciales para a publicão impressa ou eletrônica. Após a publicação do artigo, pode ser reproduzido sem a permissão do autor ou da revista, se mencionar o(s) autor(es), o ano, o título, o volume e o número e o intervalo de páginas da publicação, e Estudios Gerenciales como fonte (se abster de utilizar Revista Estudios Gerenciales).
Como Citar
