Abstract
Neuromarketing is a relevant tool in industry 4.0 context as it allows businesses to use advance technology in order to understand better the customer, and in this way to increase the effectiveness of their marketing campaigns. This research aims at analyzing how these tools and techniques are perceived by Romanian companies’ representatives, if they are using any and with what results. A small number of Romanian companies rely on neuroscientific methods like electroencephalography (EEG), functional magnetic resonance imaging (fMRI) or eye-tracking tools (E-T) when designing a product, or when testing the potential success of an advertisement, however using neuromarketing increases the effectiveness of marketing campaigns, and indirectly the business profit.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
JimĂ©nez-MarĂn, G., ElĂas Zambrano, R., Galiano-Coronil, A., Ravina-Ripoll, R.: Business and energy efficiency in the age of industry 4.0: the hulten, broweus and van dijk sensory marketing model applied to Spanish textile stores during the COVID-19 crisis. Energies 14, 1966 (2021)
Ghosh, D., Sant, T.G., Kuiti, M.R., Swami, S., Shankar, R.: Strategic decisions, competition and cost-sharing contract under industry 4.0 and environmental considerations. Resour. Conserv. Recycl. 162, 105057 (2020)
Kocsi, B., Maiko Matonya, M., Pusztai, L.P., Budai, I.: Real-time decision-support system for high-mix low-volume production scheduling in industry 4.0. Processes 8, 912 (2020)
Fisher, R.J.: Social desirability bias and the validity of indirect questioning. J. Consum. Res. 20(2) (1993)
Zaltman, G.: Consumer researchers: take a hike! J. Consum. Res. 26, 423–428 (2000)
Nilashi, M., et al.: Decision to adopt neuromarketing techniques for sustainable product marketing: a fuzzy decision-making approach. Symmetry 12, 305 (2020)
Morin, C.: Neuromarketing: the new science of consumer behavior. Society 48, 131–135 (2011)
Yoon, C., Gutchess, A.H., Feinberg, F., Polk, T.A.: A functional magnetic resonance imaging study of neural dissociations between brand and person judgments. J. Consum. Res. 33, 31–40 (2006)
Daugherty, T., Hoffman, E.: Neuromarketing: understanding the application of neuroscientific methods within marketing research. In: Ethics and Neuromarketing, pp. 5–30 (2006)
Reischauer, G.: Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technol. Forecast. Soc. Chang. 132, 26–33 (2018)
Xu, L.D., Xu, E.L., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 2941–62 (2018)
Shaw, S.D., Bagozzi, R.P.: The neuropsychology of consumer behavior and marketing. Consum. Psychol. Rev. 1(1), 22–40 (2018)
Ćosić, D.: Neuromarketing in market research. Interdiscip. Descr. Complex Syst. INDECS 14(2), 139–147 (2016)
Alsharif, A.H., et al.: Neuroimaging techniques in advertising research: main applications, development, and brain regions and processes. Sustainability. 13(11), 6488 (2021)
Lim, W.M.: Demystifying neuromarketing. J. Bus. Res. 91, 205–220 (2018)
Pozharliev, R., Verbeke, W.J., Bagozzi, R.P.: Social consumer neuroscience: Neurophysiological measures of advertising effectiveness in a social context. J. Advert. 46(3), 351–362 (2017)
Dmochowski, J.P., Sajda, P., Dias, J., Parra, L.C.: Correlated components of ongoing EEG point to emotionally laden attention–a possible marker of engagement? Front. Hum. Neurosci. 6, 112 (2012)
Falk, E.B., Berkman, E.T., Lieberman, M.D.: From neural responses to population behavior: neural focus group predicts population-level media effects. Psychol. Sci. 23(5), 439–445 (2012)
Boerman, S.C., Van Reijmersdal, E.A., Neijens, P.C.: Using eye tracking to understand the effects of brand placement disclosure types in television programs. J. Advert. 44(3), 196–207 (2015)
Nobre, A.C., Nobre, K., Kastner, S.: The Oxford Handbook of Attention. Oxford University Press, Oxford (2014)
Pan, B., Hembrooke, H.A., Gay, G.K., Granka, L.A., Feusner, M.K., Newman, J.K.: The determinants of web page viewing behavior: an eye-tracking study. In: Proceedings of the 2004 Symposium on Eye Tracking Research & Applications, pp. 147–154 (2004)
Zaltman, G.: How Customers Think: Essential Insights into the Mind of the Market. Harvard Business Press, Boston (2003)
Kahneman, D., Slovic, S.P., Slovic, P., Tversky, A.: Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press, Cambridge (1982)
Salom, J.: Mind genomics with big data for digital marketing on the internet. In: Handbook of Research on Methodologies and Applications of Supercomputing, pp. 282–289 (2021)
Stanojevic, M., Alshehri, J., Obradovic, Z.: High performance computing for understanding natural language. Chapter In: Handbook of Research on Methodologies and Applications of Supercomputing, pp. 133–144 (2021)
Milutinović, V., et al.: The ultimate data flow for ultimate super computers-on-a-chip. In: Handbook of Research on Methodologies and Applications of Supercomputing, pp. 312–318 (2021)
Dalkilic, M.: What supercomputing will be like in the coming years. Chapter In: Handbook of Research on Methodologies and Applications of Supercomputing, pp. 309–311 (2021)
Dipietro, L., Elkin-Frankston, S., Ramos-Estebanez, C., Wagner, T.: Supercomputing in the Study and Stimulation of the Brain. Chapter In: Handbook of Research on Methodologies and Applications of Supercomputing, pp. 290–300 (2021)
Breiter, H.C., et al.: Redefining neuromarketing as an integrated science of influence. Front. Hum. Neurosci. 8, 1073 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ioanid, A., Scarlat, C. (2022). Neuromarketing Tools in Industry 4.0 Context: A Study on the Romanian Market. In: Moldovan, L., Gligor, A. (eds) The 15th International Conference Interdisciplinarity in Engineering. Inter-Eng 2021. Lecture Notes in Networks and Systems, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-030-93817-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-93817-8_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93816-1
Online ISBN: 978-3-030-93817-8
eBook Packages: EngineeringEngineering (R0)