Nowoczesne metody neuroobrazowania we współczesnej neuroekonomii i neurozarządzaniu
Anna Rutkowska
Wydział Nauk Ekonomicznych, Uniwersytet Warmińsko-Mazurski w Olsztyniehttps://orcid.org/0000-0003-1174-7743
Résumé
Współczesne realia społeczno-gospodarcze implikują interdyscyplinarne podejście badawcze do psychologiczno-ekonomicznych uwarunkowań zjawisk i zachowań podmiotów rynkowych. Coraz większą rolę w identyfikacji mózgowych korelatów procesów decyzyjnych na gruncie naukowym i biznesowym odgrywa neuronauka. Celem artykułu jest przedstawienie nowoczesnych metod neuroobrazowania stosowanych najczęściej na gruncie ekonomii i zarządzania, a także określenie ich użyteczności w aspekcie poznawczym i aplikacyjnym. Artykuł ma charakter teoretycznych rozważań i stanowi tło teoretyczne do przeprowadzenia własnych badań empirycznych. Mając na uwadze konieczność interdyscyplinarnego podejścia do badania zachowań konsumenckich, dokonano przeglądu wybranej literatury przedmiotu z zakresu neuroekonomii i neurozarządzania. Syntetycznie scharakteryzowano istotę neuroobrazowania, przedstawiono wybrane wyniki badań, a także możliwość wykorzystania metody funkcjonalnego rezonansu magnetycznego (fMRI) i elektroencefalografii (EEG) w obszarze neurofinansów, neuromarketingu i neurozarządzania.
Badania literaturowe służyły podkreśleniu rosnącej roli holistycznego podejścia badawczego do analizy konsumenta oraz ukazaniu przydatności metody fMRI i EEG na gruncie badań ekonomicznych. Praktycznym aspektem wykorzystania metody fMRI i EEG w sferze biznesowej jest możliwość optymalnego dostosowania oferty produktowo-usługowej do potrzeb i preferencji konsumentów. Pomimo wielu zalet neuroobrazowania, należałoby jednak zwrócić większą uwagę na kwestie etyczne prowadzonych badań i komercyjnego wykorzystania wyników badań.
Mots-clés :
neuroekonomia, neurozarządzanie, neuromarketing, funkcjonalny rezonans magnetyczny (fMRI), elektroencefalografia (EEG)Références
Aditya, D., & Sarno, R. (2018). Neuromarketing: State of the Arts. Advanced Science Letters, 24(12), 9307-9310. https://doi.org/10.1166/asl.2018.12261
Crossref
Google Scholar
Alsharif, A.H., Md Salleh, N.Z., Abdullah, M., Khraiwish, A., & Ashaari, A. (2023). Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda. SAGE Open, Original Research, January-March 2023, 1-23. https://doi.org/10.1177/21582440231156563
Crossref
Google Scholar
Alsharif, A.H., Md Salleh, N.Z., Baharun, R., & Rami Hashem, E. (2021). Neuromarketing Research in the Last Five Years: A Bibliometric Analysis. Cogent Business & Management, 8(1), 1978620. https://doi.org/10.1080/23311975.2021.1978620
Crossref
Google Scholar
Alvino, L. (2019). How Can We Improve Consumer Behaviour Research? A Critical Literature Review on the Contributions and the Limitations of Consumer Neuroscience. In Proceedings of the 33rd International Business Information Management Association Conference. Granada: Education Excellence and Innovation Management through Vision 2020. Google Scholar
Alvino, L., Pavone, L., Abhishta, A., & Robben, H. (2020). Picking Your Brains: Where and How Neuroscience Tools Can Enhance Marketing Research. Frontiers in Neuroscience, 14(2), 1-25. https://doi.org/10.3389/fnins.2020.577666
Crossref
Google Scholar
Ariely, D., & Berns, G.S. (2010). Neuromarketing: The Hope and Hype of Neuromarketing in Business. Nature Reviews. Neuroscience, 11, 284-292.
Crossref
Google Scholar
Astolfi, L., Vecchiato, G., De Vico Fallani, F., Salinari, S., Cincotti, F., Aloise, F., Mattia, D., Marciani, M.G., Bianchi, L., Soranzo, R., & Babiloni, F. (2009). The Track of Brain Activity During the Oobservation of TV Commercials with the High-Resolution EEG Technology. Computational Intelligence and Neuroscience, 2009, Article ID 652078. https://doi.org/10.1155/2009/652078
Crossref
Google Scholar
Asunakutlu, T., & Aydoğan, T. (2022). Neuromanagement as a New Concept: A Bibliometric Analysis of Neuroscientific Studies in Management and Organization Literature. International Journal of Management Economics and Business, 18(2), 428-444. https://doi.org/10.17130/ijmeb.1014657
Crossref
Google Scholar
Basser, P.J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In Vivo Fiber Tractography using DT-MRI Data. Magnetic Resonance in Medicine, 44(4), 625-632. https://doi.org/10.1002/1522-2594(200010)44:4%3C625::AID-MRM17%3E3.0.CO;2-O
Crossref
Google Scholar
Berger, H. (1929). Über das Elektrenkephalogramm des Menschen. Archiv für Psychiatrie und Nervenkrankheiten, Springer Science and Business Media LLC, 87, 527-570. https://doi.org/10.1007/BF01797193
Crossref
Google Scholar
Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic Approaches to a Successful Literature Review. Second Edition. London: SAGE Publications. Retrieved from net/publication/235930866_Systematic_Approaches_to_a_Successful_Literature_Review. Google Scholar
Boz, H., Arslan, A., & Koc, E. (2017). Neuromarketing Aspect of Tourısm Pricing Psychology. Tourism Management Perspectives, 23, 119-128. https://doi.org/10.1016/j.tmp.2017.06.002
Crossref
Google Scholar
Byrne, A., Bonfiglio, E., Rigby, C., & Edelstyn, N. (2022). A Systematic Review of the Prediction of Consumer Preference Using EEG Measures and Machine-Learning in Neuromarketing Research. Brain Informatics, 9(27), 1-23. https://doi.org/10.1186/s40708-022-00175-3
Crossref
Google Scholar
Cakir, M.P., Cxakar, T., Girisken, Y., & Yurdakul, D. (2018). An Investigation of the Neural Correlates of Purchase Behavior Through fNIRS. European Journal of Marketing, 2(1/2), 224-243. https://doi.org/10.1108/ejm-12-2016-0864
Crossref
Google Scholar
Camerer, C.F. (2006). Neuroeconomics: Opening the Gray Box. Neuron, 60, 416-419. https://doi.org/10.1016/j.neuron.2008.10.027
Crossref
Google Scholar
Camerer, C.F., & Loewenstein, G. (2004). Behavioral Economics: Past, Present, Future. In C.F. Camerer, G. Loewenstein, M. Rabin (Eds.). Advances in Behavioral Economics. New York: Princeion University Press.
Crossref
Google Scholar
Cherubino, P., Martinez-Levy, A.C., Caratu, M., Cartocci, G., Di Flumeri, G., Modica, E., Rossi, D., Mancini, M., & Trettel, A. (2019). Consumer Behaviour Through the Eyes of Neurophysiological Measures: State of the Art and Future Trends. Computational Intelligence and Neuroscience, 18, 1976847. https://doi.org/10.1155/2019/1976847
Crossref
Google Scholar
Clithero, J.A., & Smith, D.V. (2009). Reference and Preference: How Does the Brain Scale Subjective Value? Frontiers in Human Neuroscience, 3, 11. https://doi.org/10.3389/neuro.09.011.2009
Crossref
Google Scholar
Dai, W. (2019). NeuroManagement and Intelligent Computing Method on Multimodal Interaction. Conference Paper: NeuroManagement and Intelligent Computing Method on Multimodal Interaction, 1, 1-3. https://doi.org/10.1145/3357160.3357664
Crossref
Google Scholar
Duque-Hurtado, P., Samboni-Rodriguez, V., Castro-Garcia, M., Montoya-Restrepo, L.A., & Montoya- Google Scholar
-Restrepo, I.A. (2020). Neuromarketing: Its Current Status and Research Perspectives. Estudios Gerenciales, 36(157), 525-539. https://doi.org/10.18046/j.estger.2020.157.3890
Crossref
Google Scholar
Flejterski, S. (2008). Neurobankowość: nauki o finansach w poszukiwaniu nowych paradygmatów. Ekonomiczne Problemy Usług, 38, 528-535. Google Scholar
Frydman, C., Barberis, N., Camerer, C., Bossaerts, P., & Rangel, A. (2012). Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility. NBER. Working Paper, 18562. Retrieved from http://www.nber.org/papers/w18562
Crossref
Google Scholar
Glimcher, P.W., Camerer, C.F., Fehr, E., & Poldrack, R.A. (2009). Neuroeconomics: Decision Making and the Brain. Amsterdam: Elsevier. Google Scholar
Glimcher, P.W., & Rustichini, A. (2004). Neuroeconomics: The Consilience of Brain and Decision. Science, 306(5695), 447-452. https://doi.org/10.1126/science.1102566
Crossref
Google Scholar
Hamzehei, A., Fathiana, M., Farvaresh, H., & Gholamian, M.R. (2011). A New Methodology to Study Customer Electrocardiogram Using RFM Analysis and Clustering. Management Science Letters, 1, 139-148. http://dx.doi.org/10.5267/j.msl.2010.03.009
Crossref
Google Scholar
Huettel, S.S., Songregory, A.V., & McCarthy, G. (2012). Funcional Mangetic Resonance Imaging. Sunderland: Sinauer Associates. Google Scholar
Isabella, G., Mazzon, J.A., & Dimoka, A. (2015). Culture Differences, Difficulties, and Challenges of the Neurophysiological Methods in Marketing Research. Journal of International Consumer Marketing, 27(5), 346-363. https://doi.org/10.1080/08961530.2015.1038761
Crossref
Google Scholar
Jayavardhan, G.V., & Rajan, N. (2023). Recent Trends in Neuro Marketing – A Review. Journal of Coastal Life Medicine, 11(1), 139-148. Retrieved from https://www.jclmm.com/index.php/journal/article/view/300 Google Scholar
Karim, A., Faridi, M., & Rafiq, S. (2019). Neuromanagement; Key to Maintaining Performance Literature Review. The International Journal of Business Management and Technology, 3(1), 1-9. Retrieved from https://www.theijbmt.com/archive/0925/1627843782.pdf Google Scholar
Kenning, P., & Linzmajer, M. (2011). Consumer Neuroscience: An Overview of an Emerging Discipline with Implications for Consumer Policy. Journal für Verbraucherschutz und Lebensmittelsicherheit, 6, 111-125. http://dx.doi.org/10.1007/s00003-010-0652-5
Crossref
Google Scholar
Krampe, C., Gier, N.R., & Kenning, P. (2018). The Application of Mobile fNIRS in Marketing Research – Detecting the ‘‘First-Choice-Brand’’ Effect. Frontiers in Human Neuroscience, 12(4), 433-444. https://doi.org/10.3389/fnhum.2018.00433
Crossref
Google Scholar
Lim, W.M. (2018). Demystifying Neuromarketing. Journal of Business Research, 91, 205-220. https://doi.org/10.1016/j.jbusres.2018.05.036
Crossref
Google Scholar
Lim, W.M., Rasul, T., Kumar, S., & Ala, M. (2021). Past, Present, and Future of Customer Engagement. Journal of Business Research, 140, 439-458. https://doi.org/10.1016/j.jbusres.2021.11.014.
Crossref
Google Scholar
Lim, W.M., & Weissmann, M.A. (2023). Toward a Theory of Behavioral Control. Journal of Strategic Marketing. Advance online publication, 31(1), 185-211. https://doi.org/10.1080/0965254X.2021.1890190
Crossref
Google Scholar
Lindstrom, M. (2009). Zakupologia. Prawda i kłamstwa o tym dlaczego kupujemy. Kraków: Wydawnictwo Znak. Google Scholar
Maciejasz-Świątkiewicz, M., & Musiał, M. (2014). Zarys ekonomii behawioralnej. Wprowadzenie do psychologicznych aspektów gospodarowania. Opole: Wydawnictwo Uniwersytetu Opolskiego. Google Scholar
McClure, S.M., Tomlin, D., Cypert, K.S., Montague, L.M., & Montague, P.R. (2004). Neural Correlates of Behavioral Preference for Culturally Familiar Drinks. Neuron, 44. https://doi.org/10.1016/j.neuron.2004.09.019
Crossref
Google Scholar
Modo, M.M.J.J., & Bulte, J.W.M. (2011). Magnetic Resonance Neuroimaging. Totowa: Humana Press.
Crossref
Google Scholar
Mruk, H., & Sznajder, M. (2008). Neuromarketing. Interdyscyplinarne spojrzenie na klienta. Poznań: Wydawnictwo Uniwersytetu Przyrodniczego w Poznaniu. Google Scholar
Murphy, E.R., Illes, J., & Reiner, P.B. (2008). Neuroethics of Neuromarketing. Journal of Consumer Behaviour, 7, 293-302. https://doi.org/10.1002/cb.252
Crossref
Google Scholar
Nilashi, M., Samad, S., Ahmadi, N., Ahani, A., Abumalloh, R.A, Asadi, S., Abdullah R., Ibrahim, O., & Yadegaridehkordi, E. (2020). Neuromarketing: A Review of Research and Implications for Marketing. Journal of Soft Computing and Decision Support Systems, 7(2), 23-31. Retrieved from http://www.jscdss.com/index.php/files/article/view/223 Google Scholar
Noga, M. (2017). Neuroekonomia a ekonomia głównego nurtu. Warszawa: CeDeWu. Google Scholar
Noga, M. (2017). Neuroekonomia a paradygmat ekonomii głównego nurtu. Studia i Prace WNEIZ US, 50(2), 101-112.
Crossref
Google Scholar
Nyoni, T., & Bonga W.G. (2017). Neuromarketing Methodologies: More Brain Scans or Brain Scams? Journal of Economics and Finance (DRJ-JEF), 2(3), 30-38. Retrieved from https://ssrn.com/abstract=2945380 Google Scholar
Ogawa, S., Lee, T.M., Kay, A.R., & Tank, D.W. (1990). Brain Magnetic Resonance Imaging with Contrast Dependent on Blood Oxygenation. Proceedings of the Academy of Sciences, 87(24), 9868-9872. https://doi.org/10.1073%2Fpnas.87.24.9868
Crossref
Google Scholar
Ohme, R., Szczurko, T., & Oscieski, K. (2011). How to Design, Conduct and Analyze EEG, EMG and GSR. TV ad Pre-Test. Journal of Interactive Advertasing, 11(2). Google Scholar
Orduna-Malea, E., Martín-Martín, A., & Delgado López-Cózar, E. (2017). Google Scholar and the Gray Literature: A Reply to Bonato’s Review. EC3 Working Papers, 27. https://doi.org/10.48550/arXiv.1702.03991 Google Scholar
Parizel, P.N., Tanghe, H., & Hofman, P.A.M. (2011). Magnetic Resonance Imaging of the Brain. Lippincott: Wiliams & Wilkins. Google Scholar
Polowczyk, J. (2010). Elementy ekonomii behawioralnej w dziełach Adama Smitha. Ekonomista, 4.
Crossref
Google Scholar
Pradeep, A.K. (2011). Mózg na zakupach. Neuromarketing w sprzedaży. Gliwice: Wydawnictwo Helion. Google Scholar
Rajab, S., & Sharma, V. (2017). Neuro-Fuzzy Approach in Business Applications: A Decade Survey. International Journal of Business Information Systems, 26(4), 451-487. http://dx.doi.org/10.1504/IJBIS.2017.087748
Crossref
Google Scholar
Ramsoy, T.Z. (2015). Introduction to Neuromarketing & Consumer Neuroscience. Taastrup: Neurons. Google Scholar
Rawnaque, F.S., Rahman, K.M., Anwar, S.F., Vaidyanathan, R., Chau, T., Sarker, F., & Al Mamun, K.A. (2020). Technological Advancements and Opportunities in Neuromarketing: A Systematic Review. Brain Informatics, 7(10), 1-19. https://doi.org/10.1186/s40708-020-00109-x
Crossref
Google Scholar
Robaina-Calderín, L., & Martín-Santana, J.D. (2021). A Review of Research on Neuromarketing using Content Analysis: Key Approaches and New Avenues. Cognitive Neurodynamics, 15, 923-938. https://doi.org/10.1007/s11571-021-09693-y
Crossref
Google Scholar
Rorden, C., Karnath, H.-O., & Bonilha, L. (2007). Improving Lesion-Symptom Mapping. Journal of Cognitive Neuroscience, 19(7), 1081-1088. http://doi.org/10.1162/jocn.2007.19.7.1081
Crossref
Google Scholar
Schäfer, N., & Marten, E. (2021). Mit emotionaler Mitarbeiterbindung zum Erfolg. Spronger, PFLEGE Zeitschrift, 8(74), 10-13. https://doi.org/10.1007/s41906-021-1094-7
Crossref
Google Scholar
Sharma, R., & Sinha, A. (2020). Neuromarketing and Understanding Antecedents of Consumer Switching Intensions: A Systematic Review of Literature. PJAEE, 17(6), 14660-14675. Retrieved from https://archives.palarch.nl/index.php/jae/article/view/4716 Google Scholar
Siddique, J., Shamim, A., Nawaz, M., & Abid, M.F. (2022). The Hope and Hype of Neuromarketing: A Bibliometric Analysis. Journal of Contemporary Marketing Science, 6(1), 1-21. https://doi.org/10.1108/JCMARS-07-2022-0018
Crossref
Google Scholar
Siwek, J. (2015). Nowe możliwości w diagnostyce badań z wykorzystaniem rezonansu magnetycznego. Inżynier i Fizyk Medyczny, 4(6), 17-20. Google Scholar
Skriabin, O.M., Sanakoiev, D.B., Sanakoieva, N.D., Berezenko, V.V., & Liubchenko, Y.V. (2021). Neurotechnologies in the Advertising Industry: Legal and Ethical Aspects. Innovative Marketing, 17(2), 189-201. http://dx.doi.org/10.21511/im.17(2).2021.17
Crossref
Google Scholar
Smith, V.L. (2013). Racjonalność w ekonomii. Warszawa: Wolters Kluwer. Google Scholar
Songsamoe, S., Saengwongngam, R., Koomhin, P., & Matan, N. (2019). Understanding Consumer Physiological and Emotional Responses to Food Products using Electroencephalography (EEG). Trends in Food Science & Technology, 93, 167-173. https://doi.org/10.1016/j.tifs.2019.09.018
Crossref
Google Scholar
Spitzer, M. (2012). How the Brain Learns. Warszawa: Wydawnictwo Naukowe PWN. Google Scholar
Squire, L.R., Berg, D., Bloom, F., Du Lac, S., Ghosh, A., & Spitzer, N. (2013). Fundamental Neuroscience. Burlington, San Diego, London: Academic Press is an imprint of Elsevier. Google Scholar
Srivastava, G., & Bag, S. (2023). Modern-Day Marketing Concepts Based on Face Recognition and Neuro-Marketing: A Review and Future Research Directions. Benchmarking: An International Journal, ahead-of-print. https://doi.org/10.1108/BIJ-09-2022-0588
Crossref
Google Scholar
Stach, R., & Popek, A. (2013). Decyzje ekonomiczne i społeczne z perspektywy pogranicza neuronauk oraz nauk o zarządzaniu. Współczesne Zarządzanie, 2, 40-49. Google Scholar
Thijs, V.N., Adami, A., Neumann-Haefelin, T., Moseley, M.E., Marks, M.P., & Albers, G.W. (2001). Relationship Between Severity of MR Perfusion Deficit and DWI Lesion Evolution. Neurology, 57, 1205-1211. https://doi.org/10.1212/wnl.57.7.1205
Crossref
Google Scholar
Tirandazi, P., Bamakan, S.M.H., & Toghroljerdi, A. (2023). A Review of Studies on Internet of Everything as an Enabler of Neuromarketing Methods and Techniques. The Journal of Supercomputing, 79, 7835-7876. https://doi.org/10.1007/s11227-022-04988-1
Crossref
Google Scholar
Titov, S., & Pluzhnik, E. (2020). Neuromanagement: the Scientific Approach to Contemporary Management. Proceedings of the International Conference on Business Excellence, 14(1). http://dx.doi.org/10.2478/picbe-2020-0099
Crossref
Google Scholar
Turel, O., & Bechara, A. (2021). A Triple-System Neural Model of Maladaptive Consumption. Journal of the Association for Consumer Research, 6(3), 324-333.
Crossref
Google Scholar
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Salinari, S., Soranzo, R., & Babiloni, F. (2010). Changes in Brain Activity During the Observation of TV Commercials by using EEG, GSR and HR Measurements. Brain Topography, 23, 165-179. https://doi.org/10.1007/s10548-009-0127-0
Crossref
Google Scholar
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Salinari, S., Cincotti, F., Aloise, F., Mattia, D., Marciani, M.G., Bianchi, L., Soranzo, R., & Babiloni, F. (2009). The Study of Brain Activity During the Observation of Commercial Advertising by Using High Resolution EEG Techniques. Proceedings of the Annual International Conference of The IEEE Engineering in Medicine and Biology Society.
Crossref
Google Scholar
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., Wei, D., Kong, W., Dai, J., Cincotti, F., Mattia, D., & Babiloni, F. (2011). On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research. Computational Intelligence and Neuroscience, Special Issue, Article ID 643489. https://doi.org/10.1155%2F2011%2F643489
Crossref
Google Scholar
Vecchiato, G., & Babiloni, F. (2011). Neurophysiological Measurements of Memorization and Pleasantness in Neuromarketing Experiments. In A. Esposito, A. Vinciarelli, K. Vicsi, C. Pelachaud, & A. Nijholt (Eds.). Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues, Lecture Notes in Computer Science, 6800, Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-642-25775-9_28
Crossref
Google Scholar
Wollenweber, L.E. (2012). Neuromanagement. Schlussel zum Erfolg von Manager, Mitarbeiter und Unternehmen. Retrieved from http://www.coamax.de/tl_files/inhalt/bilder-blog/Neuromanagement.pdf (16.02.2019). Google Scholar
Wollenweber. L.E. (2021). Neuromanagement. Neues Menschenbild für Führungs-, Markt- und Finanzentscheidungen. Retrieved from https://vdocuments.pub/neuromanagement-.html?page=1 (27.02.2023). Google Scholar
Yarkoni, T., Poldrack, R.A., Nichols, T.E., Van Essen, D.C., & Wager, T.D. (2011). Large-Scale Automated Synthesis of Human Functional Neuroimaging Data. Nature Methods, 8(8), 665-670. https://doi.org/10.1038/nmeth.1635
Crossref
Google Scholar
Zaltman, G. (2008). Jak myślą klienci. Podróż w głąb umysłu rynku. Poznań: Dom Wydawniczy REBIS. Google Scholar
Zhu, H., & Barker, P.B. (2011). MR Spectroscopy and Spectroscopic Imaging of the Brain. In M. Modo, J. Bulte (Eds). Magnetic Resonance Neuroimaging. Methods in Molecular Biology, 711, 203-226. https://doi.org/10.1007/978-1-61737-992-5_9
Crossref
Google Scholar
Zurawicki, L. (2010). Neuromarketing. Exploring the brain of the Consumer. Berlin: Springer.
Crossref
Google Scholar
Wydział Nauk Ekonomicznych, Uniwersytet Warmińsko-Mazurski w Olsztynie
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