ABSTRACT
Neuromarketing has opened a new door in marketing research understanding behavioral economics with the help of Neuroscience. Over the past decade, Neuroscientists, Psychiatrists, Engineers, and Market-researchers have conducted several groundbreaking studies aiming to understand consumers’ motivations, preferences, and decisions. However, these studies and practices are mainly based on developed countries. In this study, we outline the opportunities, real-life applications, future scenarios and shed light on the challenges faced by the researchers, marketers, and policymakers in developing countries including Bangladesh. Moreover, we have focused on the significant brain lobe involving neuromarketing research with the explanation of current technologies used in this area. We have concluded with some feasible recommendations to continue and sustain the growth of the neuromarketing field in developing countries. We expect that this study will give the directions on the inauguration of neuromarketing research in developing countries like Bangladesh that will help technologists, researchers, and marketers understand the advantages, challenges, and state-of-art of neuromarketing research.
- Zabir Al Nazi, Fazla Rabbi Mashrur, Md Amirul Islam, and Shumit Saha. 2021. Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network. Physics in Medicine & Biology 66, 22 (2021), 225013.Google ScholarCross Ref
- Mashael Aldayel, Mourad Ykhlef, and Abeer Alnafjan. 2020. Deep Learning for EEG-Based Preference Classification in Neuromarketing. Applied Sciences 10 (02 2020), 1525. https://doi.org/10.3390/app10041525Google Scholar
- Henry Assael. 1984. Consumer behavior and marketing action. Kent Pub. Co.Google Scholar
- Jakub Berčík, Elena Horská, WY Wang, and Ying-Chun Chen. 2015. How can food retailing benefit from neuromarketing research: a case of various parameters of store illumination and consumer response. Technical Report.Google Scholar
- Maarten Boksem and Ale Smidts. 2014. Brain Responses to Movie Trailers Predict Individual Preferences for Movies and Their Population-Wide Commercial Success. Journal of Marketing Research 52 (12 2014), 150619071651008. https://doi.org/10.1509/jmr.13.0572Google Scholar
- Sven Braeutigam, Nick Lee, and Carl Senior. 2019. A Role for Endogenous Brain States in Organizational Research: Moving Toward a Dynamic View of Cognitive Processes. Organizational Research Methods 22, 1 (2019), 332–353.Google ScholarCross Ref
- NP Braidot. 2005. Neuromarketing: Neuroeconomia y Negocios, puertoNORTE-SUR.Google Scholar
- Jonna Brenninkmeijer, Tanja Schneider, and Steve Woolgar. 2020. Witness and Silence in Neuromarketing: Managing the Gap between Science and Its Application. Science, Technology, & Human Values 45, 1 (2020), 62–86.Google ScholarCross Ref
- Jose Paulo Marques dos Santos, Marisa Martins, Hugo Alexandre Ferreira, Joana Ramalho, and Daniela Seixas. 2016. Neural imprints of national brands versus own-label brands. Journal of Product & Brand Management(2016).Google Scholar
- SAMUEL B. GUZE. 1995. Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV). American Journal of Psychiatry 152, 8 (1995), 1228–1228.Google ScholarCross Ref
- Rami N. Khushaba, Chelsea Wise, Sarath Kodagoda, Jordan J. Louviere, Barbara E. Kahn, and Claudia Townsend. 2013. Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert Syst. Appl. 40(2013), 3803–3812.Google ScholarDigital Library
- Aida Azlina Bt Mansor and Salmi Mohd Isa. 2018. The Impact of Eye Tracking on Neuromarketing for Genuine Value-Added Applications.Global Business & Management Research 10, 1 (2018).Google Scholar
- Fazla Rabbi Mashrur, Md Saiful Islam, Dabasish Kumar Saha, SM Riazul Islam, and Mohammad Ali Moni. 2021a. SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals. Computers in Biology and Medicine 134 (2021), 104532.Google ScholarDigital Library
- Fazla Rabbi Mashrur, Mohammad Tohidul Islam Miya, Ferdousi Sabera Rawnaque, Khandoker Mahmudur Rahman, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, and Khondaker A Mamun. 2021b. MarketBrain: An EEG based intelligent consumer preference prediction system. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 808–811.Google ScholarCross Ref
- Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, and Khondaker A Mamun. 2022a. BCI-based Consumers’ Choice Prediction from EEG signals: An Intelligent Neuromarketing System. Frontiers in Human Neuroscience(2022). https://doi.org/10.3389/fnhum.2022.861270Google Scholar
- Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, and Khondaker A Mamun. 2022b. An Intelligent Neuromarketing System for Predicting Consumers’ Future Choice from Electroencephalography Signals. Physiology & Behavior(2022), 113847. https://doi.org/10.1016/j.physbeh.2022.113847Google Scholar
- Fazla Rabbi Mashrur, Amit Dutta Roy, and Dabasish Kumar Saha. 2019. Automatic identification of arrhythmia from ecg using alexnet convolutional neural network. In 2019 4th International Conference on Electrical Information and Communication Technology (EICT). IEEE, 1–5.Google ScholarCross Ref
- Eric Racine and Judy Illes. 2007. Emerging Ethical Challenges in Advanced Neuroimaging Research: Review, Recommendations and Research Agenda. Journal of Empirical Research on Human Research Ethics: An International Journal 2, 2 (2007), 1–10.Google ScholarCross Ref
- Thomas Z Ramsøy, Martin Skov, Maiken K Christensen, and Carsten Stahlhut. 2018. Frontal brain asymmetry and willingness to pay. Frontiers in neuroscience 12 (2018), 138.Google Scholar
- Ferdousi Sabera Rawnaque et al.2020. Technological advancements and opportunities in Neuromarketing: a systematic review. Brain Informatics 7, 1 (2020), 1–19.Google Scholar
- Sadhna Shukla. 2019. Neuromarketing: a change in marketing tools and techniques. International Journal of Business Forecasting and Marketing Intelligence 5, 3(2019), 267–284.Google ScholarCross Ref
- Ariel Telpaz, Ryan Webb, and Dino J Levy. 2015. Using EEG to predict consumers’ future choices. Journal of Marketing Research 52, 4 (2015), 511–529.Google ScholarCross Ref
- Jason Teo, Lin Hou Chew, Jia Tian Chia, and James Mountstephens. 2018. Classification of Affective States via EEG and Deep Learning. International Journal of Advanced Computer Science and Applications 9, 5(2018). https://doi.org/10.14569/IJACSA.2018.090517Google ScholarCross Ref
- Giovanni Vecchiato et al.2011. Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical & biological engineering & computing 49, 5 (2011), 579–583.Google Scholar
- Mahendra Yadava, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, and Debi Prosad Dogra. 2017. Analysis of EEG signals and its application to neuromarketing. Multimedia Tools and Applications 76 (2017), 19087–19111.Google ScholarDigital Library
Index Terms
- An Overview of Neuromarketing Research in Developing Countries: Prospects and Challenges
Recommendations
Consumer sensory neuroscience in the context of food marketing
ACE '15: Proceedings of the 12th International Conference on Advances in Computer Entertainment TechnologyThe development of neuroimaging techniques such as functional magnetic resonance imaging (fMRI) has provided marketers with the possibility of studying changes in brain activity in relation to marketing information (packaging, pricing, promotions, etc.) ...
A review of studies on internet of everything as an enabler of neuromarketing methods and techniques
AbstractPreserving customers’ expectations and understanding factors affecting their purchasing decisions are crucial in designing effective marketing and advertising strategies. However, constantly and swiftly changing the customers’ interests and ...
Neuromarketing: Marketing through Science
IJCSS '12: Proceedings of the 2012 International Joint Conference on Service SciencesNeuro marketing is still less than a decade since it emerged. Although Magnetic Resonance Imaging (fMRI) has already applied to the practice by marketing practicers, it is controversial in the academic field. The authors reviewed neuromarketing academic ...
Comments