Search

Green consumption is a crucial pathway towards achieving global sustainability goals. Product-oriented green advertisements can effectively stimulate consumers' latent needs and convert them into eventual purchasing intentions and behaviors, thereby promoting green consumption. Given that neuromarketing methods facilitate the understanding of consumers' decision-making processes, this study combines prospect theory and need fulfillment theory, employing event-related potentials (ERPs) as measures to explore changes in consumers' cognitive resources and emotional arousal levels when confronted with green products and advertising information. This enables inference regarding consumers' acceptance of purchasing and their psychological processes. Behavioral results indicated that message framing influences consumers' purchases, with consumers consuming more green in response to negatively framed advertisements. EEG results indicated that matching positive framing with utilitarian green products was effective in increasing consumers' cognitive attention in the early cognitive stage. In the late stage of cognition negative frames stimulated consumers' mood swings more, and the influence of product type depended on the role of message frames, and the consumption motivation induced by the product, whose influence was overridden by external evaluations such as message frames. These research findings provide an explanation for the impact of frame information on consumers' purchasing decisions at different stages, assisting marketers in devising diverse promotional strategies based on product characteristics to foster the development and practice of green consumption. This will further embed the concept of green consumption advocated by organizations such as the United Nations Environment Programme (UNEP), World Wildlife Fund (WWF), and Greenpeace into the public consciousness. [ABSTRACT FROM AUTHOR]

Most people struggle to articulate the reasons why a promotional email they are exposed to influences them to make a purchase. Marketing experts and companies find it beneficial to understand these reasons, even if consumers themselves cannot express them, by using neuromarketing tools, specifically the technique of eye tracking. This study analyses various types of email campaigns and their metrics and explores neuromarketing techniques to examine how email recipients view promotional emails. This study deploys eye tracking to investigate and also verify user attention, gaze, and behaviour. As a result, this approach assesses which elements of an email influence consumer purchasing decisions and which elements capture their attention the most. Furthermore, this study examines the influence of salary and the multiple-choice series of emails on consumer purchasing choices. The findings reveal that only the row that people choose to see in an email affects their purchasing decisions. Regarding promotional emails, the title and brand play a significant role, while in welcome emails, the main factor is primarily the title. Through web eye tracking, it is found that, in both promotional and welcome emails, large images captivate consumers the most. Finally, this work proposes ideas on how to improve emails for similar campaigns. [ABSTRACT FROM AUTHOR]

Eye-tracking technology has emerged as a valuable tool for evaluating cognitive load in online learning environments. This study investigates the potential of AI-driven consumer behaviour prediction eye-tracking technology to improve the learning experience by monitoring students' attention and delivering real-time feedback. In our study, we analysed two online lecture videos used in higher education from two institutions: Oxford Business College and Utrecht University. We conducted this analysis to assess cognitive demands in PowerPoint presentations, as this directly affects the effectiveness of knowledge dissemination and the learning process. We utilised a neuromarketing-research consumer behaviour eye-tracking AI prediction software called 'Predict', which employs an algorithm constructed on the largest neuroscience database (comprising previous studies conducted on live participants n = 180,000 with EEG and eye-tracking data). The analysis for this study was carried out using the programming language R, followed by a series of t-tests for each video and Pearson's correlation tests to examine the relationship between ocus and cognitive demand. The findings suggest that AI-powered eye-tracking systems have the potential to transform online learning by providing educators with valuable insights into students' cognitive processes and enabling them to optimise instructional materials for improved learning outcomes. [ABSTRACT FROM AUTHOR]

This study performs a comprehensive bibliometric (performance analysis) and thematic content analysis of global research in "neuromarketing or consumer neuroscience" and "functional magnetic resonance imaging or fMRI." Utilizing the PRISMA framework and R package software, we analyzed thirty-six Scopus-indexed articles. The USA and California Institute of Technology emerged as leading contributors, with Rangel, A., and Reimann, M., as notable authors. Prominent themes include 'advertising,' 'product,' 'price,' and 'brand', with the "Journal of Consumer Psychology" and "Journal of Neuroscience" being key publications. The most cited article is "Marketing actions can modulate neural representations of experienced pleasantness," with 620 citations. In addition, fMRI has been used to study consumer behavior (impulsiveness, reward, emotion, decision-making, and memory) toward marketing stimuli such as price (WTP), advertising (celebrity endorsement, MSV), product (packaging design), and brand (Halal logo, label, and personality). This study provides an invaluable literature review matrix and detailed insights into the current trends in global neuromarketing research utilizing fMRI. This study highlights the significant impact of fMRI in both academic and commercial realms, offering new insights for targeted marketing and consumer behavior research. It provides valuable guidance for developing more effective advertising strategies, understanding consumer decision-making processes, enhancing business performance, and collaborating academically. [ABSTRACT FROM AUTHOR]

Abstract This study performs a comprehensive bibliometric (performance analysis) and thematic content analysis of global research in "neuromarketing or consumer neuroscience" and "functional magnetic resonance imaging or fMRI." Utilizing the PRISMA framework and R package software, we analyzed thirty-six Scopus-indexed articles. The USA and California Institute of Technology emerged as leading contributors, with Rangel, A., and Reimann, M., as notable authors. Prominent themes include 'advertising,' 'product,' 'price,' and 'brand', with the “Journal of Consumer Psychology” and “Journal of Neuroscience” being key publications. The most cited article is "Marketing actions can modulate neural representations of experienced pleasantness," with 620 citations. In addition, fMRI has been used to study consumer behavior (impulsiveness, reward, emotion, decision-making, and memory) toward marketing stimuli such as price (WTP), advertising (celebrity endorsement, MSV), product (packaging design), and brand (Halal logo, label, and personality). This study provides an invaluable literature review matrix and detailed insights into the current trends in global neuromarketing research utilizing fMRI. This study highlights the significant impact of fMRI in both academic and commercial realms, offering new insights for targeted marketing and consumer behavior research. It provides valuable guidance for developing more effective advertising strategies, understanding consumer decision-making processes, enhancing business performance, and collaborating academically.

Given consumer adaptability to the established marketing incentives, there emerges a need to improve the methods for promoting textile products. The use of neurotechnology allows determining potential ‘anchors’, such as ethnic ornaments, that can be associated with souvenir products. The article focuses on identifying neuromarketing metrics of consumer perception of souvenir clothing ethnic ornaments based on artificial intelligence technology. The foundation of the study resides in the provisions of sensory marketing. General marketing and special neuromarketing research methods were applied. The empirical data are obtained from electroencephalographic (EEG) experiments, a focus group survey (12 respondents), and a preliminary sample interview (90 respondents) conducted in January–February, 2024. We propose biometry-based approaches to neuromarketing consumer evaluation of ethnic patterns for souvenir clothing and reveal customer reactions to different types of ethnic clothing patterns. The strongest emotional responses to particular ornaments are identified based on the EEG test and verbal questioning of the experimental group. The collected data were processed using artificial intelligence to create modern textile designs for souvenir clothing. The results of the study contribute to the understanding of scent neurostimulation’s impact on the perception of clothing elements, as well as the capabilities of artificial intelligence in providing reasoned marketing solutions.

Abstract Organizations that embrace innovative business strategies position themselves well for success. In this evolving technological landscape, businesses are increasingly focused on understanding consumer behaviors and preferences to tailor their products and services effectively. Notably, integrating neuroscience has become pivotal in achieving these goals, requiring its incorporation throughout various business processes. This comprehensive research review conducts a meta-analysis, synthesizing findings from numerous studies on applying neuroscience across diverse business domains. The primary objective is to identify innovative neuroscience approaches that can significantly revolutionize businesses. Through a meticulous literature exploration using PRISMA analysis, we discerned broad themes and further refined them into critical sub-themes. This thematic categorization enables a focused examination of each area of business research. The findings in this study uncovered vital intersections between neuroscience and business, offering valuable insights for corporations and researchers. In essence, the integration of neuroscientific techniques and artificial intelligence (AI)-based softwares into business practices is no longer optional, but a necessity for businesses to stay competitive in today’s fast-paced world. This study, therefore, plays a crucial role in connecting the state-of-the-art tools and techniques in neuroscience and traditional business practices. It paves the way for a new era of business operations, where science and technology work hand in hand with commerce to create a more prosperous and sustainable future. In conclusion, the paper emphasizes the importance of incorporating neuroscience techniques and newly developed AI-based softwares into business practices. This integration can yield precise and favorable outcomes, offering businesses the tools to thrive in an ever-changing market environment.

Neuromarketing is a modern tool for researching consumer reactions to advertising stimuli and identifying relevant consumer behaviour patterns. Conducting neuromarketing research using eye tracking technology allows us to obtain objective data on consumer perceptions of advertising, websites, product packaging, etc. This article is devoted to studying the structural and content environment of the marketing category and neuromarketing research on advertised materials via the eye-tracking method. The analysis of publishing activity on the topic of neuromarketing carried out with the help of Scopus tools and the VOSviewer toolkit showed a trend of increasing interest from the scientific community in the use of neurotechniques and technologies in the study of consumer behaviour since 2004. The results of the analysis of the structural and content environment have shown the growing interest of scientists in the detailed study of consumer reactions to a product, brand, site, and advertisement, with further conclusions regarding their preferences and priorities. The work revealed that in the field of neuromarketing, there are methods that can be conditionally divided into those that register activity in the brain (neurological) and those that register activity outside the brain (biometric). The characteristics of these methods make it possible to choose the most appropriate method of eye tracking for evaluating consumers’ reactions to advertising posters. Pupil Labs Invisible mobile eyetracker was used as the main tool for neuromarketing research. According to the results of the two stages of the experiment, heatmaps were obtained, which are described by the key metrics of the study: fixations and points of view, heatmaps, areas of interest, and time spent. With the help of research, the most profitable designs of advertising posters for consumers were determined. The influence of different colors and their combinations on the brain activity of potential consumers was analysed. As a result, a conclusion was made regarding the optimal placement of such key elements on the poster as the logo, and the price, the colour range of the presented materials and the fonts that were used were determined. The application of the obtained results of marketing research made it possible to obtain information about how consumers perceive visual stimuli, which, in the future, will be the basis for perfecting marketing communication strategies with the target audience of consumers.

Electromyography (EMG), galvanic skin responses (GSR), and electrocardiogram (ECG) tools have been used to investigate emotional responses to marketing stimuli, encompassing advertisements, product packaging, and brand logos. However, despite the widespread application of EMG, GSR, and ECG tools in neuromarketing research, a comprehensive synthesis of their collective impact remains conspicuously absent. Addressing this gap is the primary goal of the present review paper, which systematically scrutinizes recent studies employing EMG, GSR, and ECG to assess emotional responses to marketing stimuli. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, relevant articles were meticulously extracted from the Scopus database, spanning the years 2009 to 2022, including twenty articles for detailed analysis. The outcomes of this review underscore the unique insights offered by these tools into emotional reactions, emphasizing that their collective utilization can afford a more comprehensive understanding of these intricate processes. This propels advancements in comprehending the pivotal role of emotions in consumer behavior and serves as a guidepost for future research directions in this burgeoning field. Ultimately, this paper aims to furnish a broad understanding and detailed insights into the current trends within neuromarketing research, specifically employing EMG, GSR, and ECG tools.

Abstract Neuromarketing is an emerging research field that aims to understand consumers’ decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future.

In today's competitive digital landscape, banking firms must leverage qualitative and quantitative analysis to enhance their website interfaces, ensuring they meet user needs and expectations. By combining detailed user feedback with data-driven insights, banks can create more intuitive and engaging online experiences, ultimately driving customer satisfaction and loyalty. Thus, the need for website customer behavior analysis to evaluate its interface is critical. This study focused on the five biggest banking firms and collected big data from their websites. Statistical analysis was followed to validate findings and ensure the reliability of the results. At the same time, agent-based modeling (ABM) and System Dynamics (SD) were utilized to simulate user behavior, thereby allowing for the prediction of responses to interface changes and the optimization of their website, and to obtain a comprehensive understanding of user behavior, thereby enabling banking firms to create more intuitive and user-friendly website interfaces. This interdisciplinary approach found that various website analytical metrics, such as organic and paid traffic costs, referral domains, and email sources, tend to impact banking firms' purchase conversion, display ads, organic traffic, and bounce rate. Moreover, these insights into banking firms' website visibility, combined with the behavioral data of the neuromarketing study, indicate specific areas for their website interface and performance improvement. [ABSTRACT FROM AUTHOR]

This study aims to improve college magazines, making them more engaging and user-friendly. We combined eye-tracking technology with artificial intelligence to accurately predict consumer behaviours and preferences. Our analysis included three college magazines, both online and in PDF format. We evaluated user experience using neuromarketing eye-tracking AI prediction software, trained on a large consumer neuroscience dataset of eye-tracking recordings from 180,000 participants, using Tobii X2 30 equipment, encompassing over 100 billion data points and 15 consumer contexts. An analysis was conducted with R programming v. 2023.06.0+421 and advanced SPSS statistics v. 27, IBM. (ANOVA, Welch's Two-Sample t-test, and Pearson's correlation). Our research demonstrated the potential of modern eye-tracking AI technologies in providing insights into various types of attention, including focus, engagement, cognitive demand, and clarity. The scientific accuracy of our findings, at 97–99%, underscores the reliability and robustness of our research, instilling confidence in the audience. This study also emphasizes the potential for future research to explore automated datasets, enhancing reliability and applicability across various fields and inspiring hope for further advancements in the field. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Selcuk University Social Sciences Institute / Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi is the property of Journal of Selcuk University Social Sciences Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Social relationships have been and are the basis for achieving objectives of all kinds, whether altruistic or lucrative. Among the aspects that make up non-verbal communication are physical appearance in general, clothing, and, in particular, colour combinations. In this article, we analyse whether colour combinations can be established in individuals' clothing that maximise their chances of success for a specifically established social objective. To measure this objective, we use multivalent logics, which are characterised by their great flexibility and adaptability. Within the framework of fuzzy logic, we extract evaluations for various colours based on the judgements of experts, provided by recognised authors in the literature, and compare these with the results obtained in a survey conducted by the authors. For the purposes of contrast, we employ two instruments with accredited validity: Similarity by Direct Computation (SDC) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS multicriteria method). [ABSTRACT FROM AUTHOR]

Organizations that embrace innovative business strategies position themselves well for success. In this evolving technological landscape, businesses are increasingly focused on understanding consumer behaviors and preferences to tailor their products and services effectively. Notably, integrating neuroscience has become pivotal in achieving these goals, requiring its incorporation throughout various business processes. This comprehensive research review conducts a meta-analysis, synthesizing findings from numerous studies on applying neuroscience across diverse business domains. The primary objective is to identify innovative neuroscience approaches that can significantly revolutionize businesses. Through a meticulous literature exploration using PRISMA analysis, we discerned broad themes and further refined them into critical sub-themes. This thematic categorization enables a focused examination of each area of business research. The findings in this study uncovered vital intersections between neuroscience and business, offering valuable insights for corporations and researchers. In essence, the integration of neuroscientific techniques and artificial intelligence (AI)-based softwares into business practices is no longer optional, but a necessity for businesses to stay competitive in today's fast-paced world. This study, therefore, plays a crucial role in connecting the state-of-the-art tools and techniques in neuroscience and traditional business practices. It paves the way for a new era of business operations, where science and technology work hand in hand with commerce to create a more prosperous and sustainable future. In conclusion, the paper emphasizes the importance of incorporating neuroscience techniques and newly developed AI-based softwares into business practices. This integration can yield precise and favorable outcomes, offering businesses the tools to thrive in an ever-changing market environment. [ABSTRACT FROM AUTHOR]

The growing interest in consumer behavior in the digital environment is leading scholars and companies to focus on consumer behavior and choices on digital platforms, such as the metaverse. On this immersive digital shopping platform, consumer neuroscience provides an optimal opportunity to explore consumers' emotions and cognitions. In this study, neuroscience techniques (EEG, SC, BVP) were used to compare emotional and cognitive aspects of shopping between metaverse and traditional e-commerce platforms. Participants were asked to purchase the same product once on a metaverse platform (Second Life, SL) and once via an e-commerce website (EC). After each task, questionnaires were administered to measure perceived enjoyment, informativeness, ease of use, cognitive effort, and flow. Statistical analyses were conducted to examine differences between SL and EC at the neurophysiological and self-report levels, as well as between different stages of the purchase process. The results show that SL elicits greater cognitive engagement than EC, but it is also more mentally demanding, with a higher workload and more memorization, and fails to elicit a strong positive emotional response, leading to a poorer shopping experience. These findings provide insights not only for digital-related consumer research but also for companies to improve their metaverse shopping experience. Before investing in the platform or creating a digital retail space, companies should thoroughly analyze it, focusing on how to enhance users' cognition and emotions, ultimately promoting a better consumer experience. Despite its limitations, this pilot study sheds light on the emotional and cognitive aspects of metaverse shopping and suggests potential for further research with a consumer neuroscience approach in the metaverse field. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Affective decision-making is a prominent topic in consumer psychology research, with its core assumption being that consumers tend to purchase brands and commodities they like. However, the reasons behind why we develop emotional responses of liking or disliking toward certain commodities, as well as what the underlying neural mechanisms are, remain largely unknown. Methods: This study utilized the S1-S2 paradigm in an experiment wherein S1 presented 12 types of commodities and S2 displayed 48 distinct colored squares. Participants were instructed to assess whether they "Like" or "Dislike" the commodity in S1, which was colored with the S2 color. Electroencephalogram (EEG) recordings were obtained during the reaction process and subsequently analyzed to examine the components of S2-induced event-related potentials (ERPs). Results: The analysis revealed that S2 elicited a significant N270 in the prefrontal scalp area under both the "Like" and "Dislike" conditions. Interestingly, the amplitude of the N270 was significantly higher during the "Dislike" condition compared to the "Like" condition. Discussion: The N270 component was shown to reflect the conflict in physical attributes between S1 and S2, as well as the conflict between commodity and color. This highlights the potential utility of this component as an objective EEG indicator of consumer commodity color preferences in future marketing research. [ABSTRACT FROM AUTHOR]

Neuromarketing is an emerging research field that aims to understand consumers' decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future. [ABSTRACT FROM AUTHOR]

The exponential growth of data in the digital age has led to a significant demand for innovative approaches to assess data in a manner that is both effective and efficient. Machine Learning as a Service (MLaaS) is a category of services that offers considerable potential for organisations to extract valuable insights from their data while reducing the requirement for heavy technical expertise. This article explores the use of MLaaS within the realm of marketing applications. In this study, we provide a comprehensive analysis of MLaaS implementations and their benefits within the domain of marketing. Furthermore, we present a platform that possesses the capability to be customised and expanded to address marketing's unique requirements. Three modules are introduced: Churn Prediction, One-2-One Product Recommendation, and Send Frequency Prediction. When applied to marketing, the proposed MLaaS system exhibits considerable promise for use in applications such as automated detection of client churn prior to its occurrence, individualised product recommendations, and send time optimisation. Our study revealed that AI-driven campaigns can improve both the Open Rate and Click Rate. This approach has the potential to enhance customer engagement and retention for businesses while enabling well-informed decisions by leveraging insights derived from consumer data. This work contributes to the existing body of research on MLaaS in marketing and offers practical insights for businesses seeking to utilise this approach to enhance their competitive edge in the contemporary data-oriented marketplace. [ABSTRACT FROM AUTHOR]

The use of neuroscience tools to study consumer behavior and the decision making process in marketing has improved our understanding of cognitive, neuronal, and emotional mechanisms related to marketing-relevant behavior. However, knowledge about neuroscience tools that are used in consumer neuroscience research is scattered. In this article, we present the results of a literature review that aims to provide an overview of the available consumer neuroscience tools and classifies them according to their characteristics. We analyse a total of 219 full-texts in the area of consumer neuroscience. Our findings suggest that there are seven tools that are currently used in consumer neuroscience research. In particular, electroencephalography (EEG) and eye tracking (ET) are the most commonly used tools in the field. We also find that consumer neuroscience tools are used to study consumer preferences and behaviors in different marketing domains such as advertising, branding, online experience, pricing, product development and product experience. Finally, we identify two ready-to-use platforms, namely iMotions and GRAIL that can help in integrating the measurements of different consumer neuroscience tools simultaneously. Measuring brain activity and physiological responses on a common platformcould help by (1) reducing time and costs for experiments and (2) linking cognitive and emotional aspects with neuronal processes. Overall, this article provides relevant input in setting directions for future research and for business applications in consumer neuroscience. We hope that this study will provide help to researchers and practitioners in identifying available, non-invasive and useful tools to study consumer behavior. [ABSTRACT FROM AUTHOR]

O presente artigo tem por escopo analisar a relação intrínseca entre a análise económica do direito e seus institutos, a luz do estudo conceitual e extensivo das falhas de mercado. Ademais, visa analisar de que modo a assimetria de informações, integrador das falhas de mercado, pode potencializar a hipervulnerabilidade consumerista, com ênfase, evidentemente, no contexto jurídico. A proposta é uma tentativa de esmiuçar de que modo a análise econômica do direito pode ser relacionada ao âmbito consumerista, e por consequência, sua influência no cotidiano jurídico, traçando-se um paralelo com as falhas de mercado, especificamente no que se refere à assimetria de informações, e uma determinada prática utilizada, denominada neuromarketing. O método utilizado no artigo consiste na leitura de livros direcionados, análise de trabalhos bibliográficos e artigos relacionados ao tema.

Considering the informational overwhelm of the last few years and given the rise in new entrepreneurship of communication means, the optimization of commercial communication's marketing has become one of the primary objectives of marketing strategy. The quantitative computation of the number of impacts has been rendered insufficient for evaluating and planning a communication campaign. Strategic planning relies on increasingly more precise models for determining the desired formula. These models do not typically take the physiological parameter essential to decision-making into account: emotion. The technologies applied to the new methodologies that neuromarketing brings rely on great support from theorists and professionals, even though hardly any studies that center on strategic planning media exist. In this study, we present an analysis of the residual effect and the distortion of erroneous attribution stemming from neuromarketing's own technologies with the objective of analyzing the influence of adjacent content items on the subject's decision-making process. Cross-technologies were used: EEG and GSR, with the goal of analyzing the subject's emotional activation and motivation. The results demonstrate an emotional dragging effect and the appearance of bias of attribution with very significant values in every case, showing notable differences regarding the nature and polarity of emotions.

Electroencephalography (EEG) offers insights into the neural responses of consumers to marketing stimuli which can be used to evaluate the effectiveness of such stimuli in directing favorable consumer behavior in real-world settings. This practical review provides guidelines for using EEG in consumer and marketing research. It provides recommendations for how EEG may effectively be employed in neuromarketing in the future. EEG requires careful experimental design, and as such, we outline current recommendations for the collection, processing, analysis, and interpretation of EEG evoked potentials (i.e., event related potentials; ERP) and spectral content (i.e., EEG frequency). By providing an introductory overview of EEG measures in marketing and consumer research, this practical review extends previous literature that is primarily focused on other neuroimaging techniques (e.g., functional magnetic resonance imaging) and other disciplines (e.g., economics and organizational behaviour). Furthermore, by reviewing how EEG has been used throughout psychophysiological and neuromarketing research, we provide recommendations on how EEG can be used to measure marketing-related outcomes. These include processes relating to perception, attention, memory, emotion, and cognitive load, demonstrating the unique value of considering the neural responses captured by EEG in understanding and predicting consumer behavior. [ABSTRACT FROM AUTHOR]

The introduction of neuromarketing tools has created additional opportunities for deciphering consumer behaviour through studying neurophysiological responses to marketing incentives. The article aims to examine the effect of packaging colour on consumer behaviour when choosing cheese products. The principles of sensory marketing constitute the methodological framework of the study. It applies neurophysiological methods to investigate consumer reactions during visual examination of the packaging colour. Electroencephalogram (EEG) recordings and emotional responses identified by the Facial Action Coding System are used as empirical evidence. Vectors of emotional response were assessed using EmoDetect software. The research results show that the cheese packaging colour affects consumer choice, and its perception varies by gender and product group. According to EEG data analysis, the most intense emotional response in women was triggered by red cheese packaging, while blue packaging produced the least intense reaction. In men, it was black and white colours of boxes that induced the strongest and the weakest reaction, respectively. In women, a positive emotional response was recorded during visual examination of white and red cheese packaging, in men – of black ones. The most intense negative reactions were associated with blue and white packaging in women and men, respectively. Our study confirms that there are differences in emotional perception of the packaging colour between women and men, which should be considered by manufacturers to capture and keep consumer attention when marketing their products.

Competition in the airline transportation sector has significantly intensified following the deregulation act in the United States. To remain competitive, airline companies have begun implementing a range of strategies. One of the strategies commonly used by airlines is to improve service quality. Service quality has been very beneficial for airline companies to maintain profitability and increase market share. To achieve this goal, airlines must investigate the factors influencing service quality and enact improvements and regulations based on these determinants. There are significant studies in the literature on the influence of service employees on service quality. However, there are only a limited number of studies on the influence of the service quality of flight attendants, who are the public face of airline operations, on service quality. This study focuses on the influence of the level of attractiveness (a nonverbal characteristic) of flight attendants on perceived service quality. This research employs a neuromarketing method, specifically the frontal asymmetry approach, using electroencephalography (EEG) techniques. In the experiment, 37 participants were recruited, including 19 males and 18 females, and frontal alpha asymmetry metric results were derived from electrode pairs. In the experiment conducted at the Faculty of Aeronautics and Astronautics, Eskisehir Technical University, participants also evaluated the influence of flight attendant attractiveness on service quality using a survey technique. The findings indicate a significant difference in frontal alpha asymmetry (FAA) metrics between attractive and unattractive flight attendants. FFA metrics of attractive flight attendants were greater than those of unattractive flight attendants. Additionally, FAA metrics were found to be greater under favourable service delivery than under unfavourable service delivery. Furthermore, among the service dimensions, the reliability and responsiveness dimensions had higher FAA metrics than did the other dimensions. A study comparing EEG results with survey responses revealed a statistically significant difference. The findings indicate that flight attendants with higher levels of attractiveness enhance their motivation to approach, thereby contributing to an improvement in perceived service quality. Moreover, these findings underscore the potential of neuromarketing methods for validating outcomes from conventional research approaches. Based on these findings, airlines should develop policies that prioritize attractive attributes in the recruitment of flight attendants. In addition, implementing various programs and incentive systems to maintain the attractiveness of flight attendants is essential. Moreover, providing services with diversified flight attendant profiles tailored to different customer segments is considered crucial for customer satisfaction and experience. Future studies could achieve more comprehensive results by using diverse sample sizes and age groups along with different neuromarketing techniques. Furthermore, the findings suggest a high potential for applying the frontal alpha asymmetry approach in other marketing fields.

The psychology of people and behavior associated with decision-making can be analyzed by examining their visual attention to products based on the introduction of neuromarketing at the intersection of neuroscience and marketing. This study aims to identify factors affecting consumers’ decision-making on travel products by investigating their preferences and areas of interest via online vacation booking sites. In this experimental study, eye-tracking was measured on 30 male participants in the age of forties, and data on their gazes in response to stimuli were extracted and compared with their choices in the questionnaire survey. The study addresses the following research question: “On what areas of customer preference can visual attention be deemed an influence?” Whether changes to the visual information about spatial products influence product preferences and decision-making was investigated. As a result of analyzing the region of interest in the eye-tracking according to the order of space preference, the preference rate for image 3 (M = 782.65) containing the outdoor space was the highest, followed by furniture and web information. Regarding the initial concentration, among the flow of time, the fastest concentration started at stimuli 2 (4.21s), but the time when concentration increased was at stimuli 3 (16.28s). Visual perception data were analyzed as a verification process for determining the time difference in the concentration of gaze movements according to personal preference. The correlation between the questionnaire survey, reflecting consumers’ conscious preferences, and the data of gaze movements, showing unconscious decision-making, was analyzed.

Neuromarketing, an emerging subject and generating diverse body of knowledge in the extant literature, this study aims to present qualitative and quantitative knowledge of the neuroscientific domain by analysing the application of various neuromarketing tools and techniques in conducting the research studies. This paper comprises a systematic review of 61 journal articles combined with bibliometric analysis of 577 peer-reviewed journal articles following the PRISMA framework, employing content analysis and keyword co-occurrence analysis. The comprehensive analysis presented a research profile illustrating chronological trends in neuromarketing research and discovered potential new domains, demonstrating explored and unexplored practical utility in neuromarketing. The results highlight the application of Functional Magnetic Resonance Imaging (fMRI), eye-tracking, and neural networks for data analysis as prospective areas in neuroscientific research. An overview of existing neuroscientific tools was presented based on the user context and research outcomes, outlining their benefits and limitations, along with ethical concerns. A theoretical framework was proposed to illustrate the neuromarketing effect on consumer behaviour, suggesting potential areas for future investigation. The findings of the study will be of interest to scholars and marketers in providing the insights on various neuro tools and techniques, and its significant role in decision-making, such comprehension may improve marketing effectiveness.

AbstractThis research investigates the ethical and privacy issues arising from using AI andML in neuromarketing, framed by rule utilitarianism. It assesses the impact of these technologies on consumerprivacy and human rights through a combination of literature review, bibliometric analysis, and empirical data fromsurveys and interviews with experts in the US and Spain. The study reveals the tensions between the efficacy ofneuromarketing techniques and the imperative to protect consumer privacy, particularly in light of the GDPR’sinfluence on global practices. It emphasizes the need for internationally consistent ethical standards and consumerdata regulations, drawing from the comparative analysis of policies in the US and EU. The outcomes include policyrecommendations to minimize ethical risks and promote the responsible progression of neuromarketing. Theserecommendations guide companies and managers toward ethical transparency and accountability. Additionally, theresearch offers a policy framework for crafting ethical neuromarketing practices that reconcile technological progresswith consumer well-being, thereby contributing to broader discussions on embedding ethics within technological innovation.

Introduction: There is a continuous consumer demand for ever superior cosmetic products. In marketing, various forms of sensory evaluation are used to measure the consumer experience and provide data with which to improve cosmetics. Nonetheless, potential downsides of existing approaches have led to the exploration of the use of neuroimaging methods, such as functional near-infrared spectroscopy (fNIRS), to provide addition information about consumers' experiences with cosmetics. The aim of the present study was to investigate the feasibility of a real-time brain-based product evaluation method which detects the incongruency between a product, in this case lipstick, and a consumer's expectations. Method: Thirty healthy, female, habitual lipstick users were asked to apply six different lipsticks varying in softness and to rate the softness of and their willingness to pay (WTP) for each lipstick. Cerebral hemodynamic responses in frontal areas were measured with fNIRS during lipstick application and analyzed using the general linear model (GLM). Incongruency scores between softness and expectation were calculated in order to understand how far removed each lipstick was from a participant's optimal softness preference. The correlation between brain activation (beta scores) during the application of each lipstick and the respective incongruency scores from each participant were acquired using semi-partial correlation analysis, controlling for the effects of WTP. Results: We revealed a significant intra-subject correlation between incongruency scores and activation in the right inferior frontal gyrus (IFG). This confirms that as the texture incongruency scores increased for the lipstick samples, activation in each individual's right IFG also increased. Conclusion: The correlation observed between incongruency perceived by participants and activation of the right IFG not only suggests that the right IFG may play an important role in detecting incongruity when there is a discrepancy between the perceived texture and the consumer's expectations but also thatmeasuring activity in the IFGmay provide a new objectivemeasurement of the consumer experience, thus contributing to the development of superior cosmetics. [ABSTRACT FROM AUTHOR]

Neuromarketing uses cognitive science in marketing-related research to study consumer sensorimotor effects, such as cognitive and emotional responses to marketing stimuli using new technologies. This research is a predictive framework for participants' decision-making processes in terms of liking and disliking when viewing and selecting the products of an online store. For this purpose, dispersion entropy (DE) and hierarchical dispersion entropy (HDE) features are extracted from the participant's brain signal (EEG) when displaying different products. Dispersion pattern evaluation is used for the first time to distinguish between two categories of likes and dislikes using EEG signals. In this study, the ensemble learning approach with a random forest classifier is investigated to create a model for predicting neuromarketing to distinguish between two categories of likes and dislikes. From the analysis of the model results, 73.67% accuracy has been obtained. Studies in this area can change and improve marketing strategies to improve production and consumer processes, and ultimately lead to mutual benefit. [ABSTRACT FROM AUTHOR]

Neuromarketing is a modern tool for researching consumer reactions to advertising stimuli and identifying relevant consumer behaviour patterns. Conducting neuromarketing research using eye tracking technology allows us to obtain objective data on consumer perceptions of advertising, websites, product packaging, etc. This article is devoted to studying the structural and content environment of the marketing category and neuromarketing research on advertised materials via the eye-tracking method. The analysis of publishing activity on the topic of neuromarketing carried out with the help of Scopus tools and the VOSviewer toolkit showed a trend of increasing interest from the scientific community in the use of neurotechniques and technologies in the study of consumer behaviour since 2004. The results of the analysis of the structural and content environment have shown the growing interest of scientists in the detailed study of consumer reactions to a product, brand, site, and advertisement, with further conclusions regarding their preferences and priorities. The work revealed that in the field of neuromarketing, there are methods that can be conditionally divided into those that register activity in the brain (neurological) and those that register activity outside the brain (biometric). The characteristics of these methods make it possible to choose the most appropriate method of eye tracking for evaluating consumers' reactions to advertising posters. Pupil Labs Invisible mobile eyetracker was used as the main tool for neuromarketing research. According to the results of the two stages of the experiment, heatmaps were obtained, which are described by the key metrics of the study: fixations and points of view, heatmaps, areas of interest, and time spent. With the help of research, the most profitable designs of advertising posters for consumers were determined. The influence of different colors and their combinations on the brain activity of potential consumers was analysed. As a result, a conclusion was made regarding the optimal placement of such key elements on the poster as the logo, and the price, the colour range of the presented materials and the fonts that were used were determined. The application of the obtained results of marketing research made it possible to obtain information about how consumers perceive visual stimuli, which, in the future, will be the basis for perfecting marketing communication strategies with the target audience of consumers. [ABSTRACT FROM AUTHOR]

Background: Consumer behavior research and neurology are combined in the emerging discipline of neuromarketing. Neuromarketing is considered to be one of emerging field to study how consumer's brain reacts to advertisement and other brand's message by observing brainwave, eye, and skin response. The current study examined the emerging field of constructs of neuromarketing like social, attention, technology, and emotions to examine Indian consumer's buying behavior. Purpose: To study the validity and reliability of constructs of neuromarketing that examines consumer's buying behavior among Indian consumers. Methods: A sample of 191 people of different age groups was considered in the study. A random sampling technique was used for data collection. The self-designed questionnaire used for the measurement of neuromarketing constructs and consumers' buying behavior. The current study applied SPSS and AMOS software to validate the measurement model of neuromarketing. Results: The Kaiser-Meyer-Olkin (KMO) and Bartlett's Test's value is 0.784 and this value confirmed that the sample is adequate for factor analysis. Apart from that, the five constructs of neuromarketing – Attention (A), Social (SC), Technological (T), Emotion (E), and Consumer Buying Behavior (BB) had shown the value of Cronbach's alpha to be more than 0.7. Confirmatory Factor Analysis (CFA) had shown value of average variance explained of each constructs 0.5 and composite reliability more than 0.7 which indicates excellent construct validity of constructs for model formation of neuromarketing. The study also validates measurement research model of neuromarketing on the basis of model fit index (chi-square/df = 3.397, RMSEA = 0.10, GFI = 0.92, and CFI = 0.87). Conclusion: The present study had shown good validity and reliability of constructs of neuromarketing and also proved that marketers can apply these constructs to examine behavior pattern of consumers. [ABSTRACT FROM AUTHOR]

Introduction: The research in consumer neuroscience has identified computational methods, particularly artificial intelligence (AI) and machine learning, as a significant frontier for advancement. Previously, we utilized functional magnetic resonance imaging (fMRI) and artificial neural networks (ANNs) to model brain processes related to brand preferences in a paradigm exempted from motor actions. In the current study, we revisit this data, introducing recent advancements in explainable artificial intelligence (xAI) to gain insights into this domain. By integrating fMRI data analysis, machine learning, and xAI, our study aims to search for functional brain networks that support brand perception and, ultimately, search for brain networks that disentangle between preferred and indifferent brands, focusing on the early processing stages. Methods: We applied independent component analysis (ICA) to overcome the expected fMRI data's high dimensionality, which raises hurdles in AI applications. We extracted pertinent features from the returned ICs. An ANN is then trained on this data, followed by pruning and retraining processes. We then apply explanation techniques, based on path-weights and Shapley values, to make the network more transparent, explainable, and interpretable, and to obtain insights into the underlying brain processes. Results: The fully connected ANN model obtained an accuracy of 54.6%, which dropped to 50.4% after pruning. However, the retraining process allowed it to surpass the fully connected network, achieving an accuracy of 55.9%. The pathweights and Shapley-based analysis concludes that, regarding brand perception, the expected initial participation of the primary visual system is followed. Other brain areas participate in early processing and discriminate between preferred and indifferent brands, such as the cuneal and the lateral occipital cortices. Discussion: The most important finding is that a split between processing brands|preferred from brands|indifferent may occur during early processing stages, still in the visual system. However, we found no evidence of a "decision pipeline" that would yield if a brand is preferred or indifferent. The results suggest the existence of a "tagging"-like process in parallel flows in the extrastriate. Network training dynamics aggregate specific processes within the hidden nodes by analyzing the model's hidden layer. This yielded that some nodes contribute to both global brand appraisal and specific brand category classification, shedding light on the neural substrates of decision-making in response to brand stimuli. [ABSTRACT FROM AUTHOR]

The document titled "I DARE: IULM Dataset of Affective Responses" discusses the field of consumer neuroscience and neuromarketing, which use neuroscience tools to study consumer behavior. It highlights the use of neurophysiological and biometric signals to assess cognitive and emotional processes. The document provides a qualitative comparison of the I DARE dataset with other physiological-based datasets, showing that it surpasses them in terms of using static pictures, having the highest dimension, and allowing for the lowest minimum detectable effect size. The authors acknowledge some limitations of the dataset but believe it could be useful in various applications. The document also includes a list of references covering various topics related to neuromarketing, affective computing, and emotion recognition. [Extracted from the article]

Electromyography (EMG), galvanic skin responses (GSR), and electrocardiogram (ECG) tools have been used to investigate emotional responses to marketing stimuli, encompassing advertisements, product packaging, and brand logos. However, despite the widespread application of EMG, GSR, and ECG tools in neuromarketing research, a comprehensive synthesis of their collective impact remains conspicuously absent. Addressing this gap is the primary goal of the present review paper, which systematically scrutinizes recent studies employing EMG, GSR, and ECG to assess emotional responses to marketing stimuli. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, relevant articles were meticulously extracted from the Scopus database, spanning the years 2009 to 2022, including twenty articles for detailed analysis. The outcomes of this review underscore the unique insights offered by these tools into emotional reactions, emphasizing that their collective utilization can afford a more comprehensive understanding of these intricate processes. This propels advancements in comprehending the pivotal role of emotions in consumer behavior and serves as a guidepost for future research directions in this burgeoning field. Ultimately, this paper aims to furnish a broad understanding and detailed insights into the current trends within neuromarketing research, specifically employing EMG, GSR, and ECG tools. [ABSTRACT FROM AUTHOR]

Competition in the airline transportation sector has significantly intensified following the deregulation act in the United States. To remain competitive, airline companies have begun implementing a range of strategies. One of the strategies commonly used by airlines is to improve service quality. Service quality has been very beneficial for airline companies to maintain profitability and increase market share. To achieve this goal, airlines must investigate the factors influencing service quality and enact improvements and regulations based on these determinants. There are significant studies in the literature on the influence of service employees on service quality. However, there are only a limited number of studies on the influence of the service quality of flight attendants, who are the public face of airline operations, on service quality. This study focuses on the influence of the level of attractiveness (a nonverbal characteristic) of flight attendants on perceived service quality. This research employs a neuromarketing method, specifically the frontal asymmetry approach, using electroencephalography (EEG) techniques. In the experiment, 37 participants were recruited, including 19 males and 18 females, and frontal alpha asymmetry metric results were derived from electrode pairs. In the experiment conducted at the Faculty of Aeronautics and Astronautics, Eskisehir Technical University, participants also evaluated the influence of flight attendant attractiveness on service quality using a survey technique. The findings indicate a significant difference in frontal alpha asymmetry (FAA) metrics between attractive and unattractive flight attendants. FFA metrics of attractive flight attendants were greater than those of unattractive flight attendants. Additionally, FAA metrics were found to be greater under favourable service delivery than under unfavourable service delivery. Furthermore, among the service dimensions, the reliability and responsiveness dimensions had higher FAA metrics than did the other dimensions. A study comparing EEG results with survey responses revealed a statistically significant difference. The findings indicate that flight attendants with higher levels of attractiveness enhance their motivation to approach, thereby contributing to an improvement in perceived service quality. Moreover, these findings underscore the potential of neuromarketing methods for validating outcomes from conventional research approaches. Based on these findings, airlines should develop policies that prioritize attractive attributes in the recruitment of flight attendants. In addition, implementing various programs and incentive systems to maintain the attractiveness of flight attendants is essential. Moreover, providing services with diversified flight attendant profiles tailored to different customer segments is considered crucial for customer satisfaction and experience. Future studies could achieve more comprehensive results by using diverse sample sizes and age groups along with different neuromarketing techniques. Furthermore, the findings suggest a high potential for applying the frontal alpha asymmetry approach in other marketing fields. [ABSTRACT FROM AUTHOR]

The academic discourse surrounding tourism's interdisciplinary approach has long piqued the interest of the scholarly community. More recently, attention has pivoted towards the intersection of neuroscience and neuromarketing within the realm of tourism, giving rise to the concept of "neurotourism". This emergence requires a comprehensive elucidation of the relevance of neuromarketing and neuroscience to the field of tourism, thereby addressing the imperative to bridge existing knowledge gaps. In light of this, the present paper endeavours to fulfil this objective by synthesizing global research in this domain. The study adopts an interdisciplinary approach, employing a hybrid systematic review methodology that encompasses a literature review encompassing nine key indicators and a bibliometric analysis through co-word analysis of author keywords. In total, our investigation unearthed 45 papers from Scopus, each exploring the application of neuroscience and neuromarketing theories and methods within the context of tourism. Among these, three papers delve into the concept of neurotourism. In this paper, we underscore the deep connection between neuroscience, neuroscientific methodologies, and neuromarketing within the realm of tourism research. The outcomes of this research significantly enhance our comprehension of the current state of neurotourism research, revealing both existing voids and emerging areas of interest. Furthermore, this study introduces a pioneering methodological approach, fusing Scival topic prominence and hybrid systematic review techniques into bibliometric analysis. Ultimately, our findings illuminate a notable research lacuna, presenting a fertile terrain for prospective investigations. Additionally, we deliberate on current trends and propose directions for future research within the neurotourism landscape. [ABSTRACT FROM AUTHOR]

In the race to forecast consumer behaviours and purchase patterns, a culmination of new ideas, theories, and research is brought forth and used. One such contemporary study on consumer behaviour is the subject of neuromarketing. An underlying theme among several key concepts in defining neuromarketing is the ability to measure consumers’ brain activities; it aims to understand the reasoning and reactions toward specific offerings. Although the field of study has garnered worldwide interest, the subject of neuromarketing is only starting to gain traction in Malaysia, with only a few existing literatures observed. This study plans to assess the readiness of companies in Malaysia to implement neuromarketing as part of their overall strategic marketing plan, as well as the comfort level of companies in deploying neuromarketing to increase the effectiveness of the companies’ performance. By applying mixed-method research, several small to medium-sized enterprises (SMEs) would be selected to explore and subsequently examine their comprehension, readiness, and implementation of neuromarketing.

Introduction: Fashion is a sector that at all times appeals to the emotions and feelings of the individual, due to its social implications. In this sense, neuromarketing becomes a very valuable tool to study the different reactions of the public when exposed to it. Different tools applied in neuromarketing reveal how consumers feel when they buy, touch or look at a fashion product with which they relate. Methodology: The present research aims to make a systematic review of publications in academic journals on fashion and neuromarketing, as an integrative tool that allows the compilation of studies on the same topic, in order to establish a state of the art. This review is carried out in the Scopus and WOS databases, in Spanish and English, between 2000 and 2023. The objective is to study the neuromarketing tools that are best suited to this sector and to analyze how they have evolved, been used and integrated over the years. Results: Twenty-three results were found that matched the search, and for each one of them the authors studied the country where the research was carried out, the year of publication, the journal where the research was published, the neuromarketing tool applied, the results obtained, and where the manuscript focuses: on the company, on the consumer, on both or on neither of them. Discussion: Twenty-three results were found, of which only 12 were valid. The main cause of exclusion was the repetition of results in the two databases consulted. In these studies, not only the response of the consumer is observed, but fundamentally the response of the company and its perception. Conclusions: It is concluded that neuromarketing and consumer neuroscience tools, although scarce in the fashion industry, provide relevant and useful information and multidisciplinary groups are proposed to increase the scientific production applied to the case study.

La decisión de compra de los consumidores es aquel impulso de adquirir bienes o servicios, este impulso en la mayoría de los casos amerita estudiar desde el ámbito psicológico y sociológico en un mercado basado en el valor para el cliente donde los consumidores buscan satisfacer sus necesidades, gustos o preferencias. El merchandising es una herramienta del marketing que permite una correlación entre el producto y el consumidor, en donde sirve para fortalecer el punto de venta y como objetivo primordial estimular las compras. La presente investigación tiene por objeto analizar el nivel de incidencia en la decisión de compra en relación con el merchandising utilizado por los supermercados del cantón Cuenca – Ecuador. En esta investigación se recopiló información por bases digitales y sitios web con aplicaciones de neuromarketing. De la misma manera se creó un instrumento aplicado mediante encuesta realizada a los consumidores, con la finalidad de obtener información para cumplir con el objetivo planteado y comprobar la hipótesis de la investigación, determinando un modelo estadístico que ratifique o rechace las hipótesis. Los resultados reflejan un coeficiente de determinación R = 0,86 y un R 2 = 0,734, implica que existe una buena correlación de la variable dependiente con las independientes. Se ha logrado percibir la incidencia en la decisión de compra de los consumidores, por medio de la aplicación de estrategias de merchandising, con ello impulsan a realizar la compra de sus productos.

Over the years, research in neuroscience-driven marketing has progressively delved into the conscious and subconscious behaviors of consumers. Existing Electroencephalography (EEG)-based studies related to consumer preferences toward products are not comprehensive. Due to non-stationarity issues of EEG, a significant variance is observed in inter-trial and inter-session EEG signals of a subject, which leads to challenges in building a universal consumer preference model across diverse subjects, sessions, and tasks. Transfer learning mitigates this challenge by utilizing data or knowledge from similar subjects, sessions, or tasks to improve the learning process for a new subject, session, or task, thereby enhancing overall model performance. Moreover, high-dimensional EEG features often lead to poor classification results. Therefore, selecting meaningful or refined features is of utmost importance for classification. Therefore, we propose a robust EEG-based neuromarketing framework combining deep transfer learning, spatial attention models, and deep neural networks. The proposed framework predicts the consumer choices (in terms of “likes” and “dislikes”) for e-commerce products. Initially, the knowledge distillation is performed from the pre-trained network to the proposed model, and the model is trained on the connectivity features of EEG. Next, the attention-based features are extracted from high-level connectivity features using the spatial attention model (Convolutional Block Attention Module: CBAM). CBAM extracts the attention feature maps along channel and spatial dimensions for adaptive feature refinement. The refined features improve the classification accuracy. Finally, the attention-based features are passed to the 2D CNN-based deep learning model to evaluate consumer choices. The proposed model achieves 95.60% classification accuracy with the experimental dataset. The proposed model achieves a significant improvement of 2.60% over the existing neuromarketing-based studies.

The fields of consumer neuroscience, neuromarketing, human behaviour, and human hormones (such as dopamine, serotonin, oxytocin, and endorphins) have been widely studied. However, it is noteworthy that despite the considerable attention directed towards these domains, the phenomenon of happiness hormones in the field of marketing and consumer behaviour remains largely unexplored within academic investigations. To fill this gap, this study conducted a comprehensive bibliometric analysis of scientific articles published on this combination (neuro*marketing OR marketing OR consumer*neuroscience OR human AND behavi*) AND (dopamine OR serotonin OR oxytocin OR endorphins OR happy AND hormo*). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system and VOSviewer software were used to select and analyse articles published in the Scopus database between January 2012 and December 2022. The analysis included 218 articles from various subject areas, including neuroscience, psychology, multidisciplinary studies, art and humanities, and social sciences. The results show an increasing number of publications over the years, with the United States being the leading country in terms of publication output, with 116 articles and 5920 citations. Influential authors, such as Jacob S., were identified, along with highly cited articles and keywords related to human behaviour and hormones, including "dopamine", "serotonin", "testosterone", "oxytocin", "depression", "stress", "motivation", "behaviour" and "anxiety". PLoS One was identified as the most productive journal (20 articles and 372 citations). This is the first study to provide a bibliometric analysis of the current state of research in consumer neuroscience, neuromarketing, human behaviour and human hormones, and to suggest directions for future research in the field.

Bu araştırma, 2020 yılında Selçuk Üniversitesi, Sosyal Bilimler Enstitüsü Grafik Ana Bilim Dalı programında kabul edilen “Nöropazarlama ve Ambalaj Tasarımı” adlı Yüksek Lisans tezinden yararlanılarak hazırlanmıştır. Her geçen gün gelişimini sürdürmekte olan pazarlama günümüzde de tüketiciyi etkileme konusunda yeni yaklaşımlar üretmeye devam etmektedir. Tüketiciler, karar verme ve satın alma aşamasında, ürün tercihinde özellikle anlık ya da alışkanlıkları yönünde alışveriş yapmakta ve beyinlerinin bilişsel değil duygusal süreçlerini kullanarak karar vermektedirler. Dolayısıyla isabetli ve daha etkili karar alarak en yüksek rekabet avantajına sahip olmada, nöropazarlamanın önemi ortaya çıkmaktadır. Nöropazarlama tüketicinin zihinsel süreçlerini anlamak üzere merkezi ve otonom sinir sisteminin tepkilerinin ölçülebildiği cihazlar kullanılarak verilmek istenen mesajın açık ve net bir şekilde hedefe ulaşıp ulaşmadığını kontrol edebilen bir araştırma yöntemidir. Buradan hareketle nöropazarlamanın, ambalaj tasarımı üzerine yansımalarının incelenmesi amaçlanmıştır. Hedeflenen amaç doğrultusunda pazarlama, nöropazarlama, ambalaj tasarımı ve çeşitleri araştırma kapsamını oluşturmuştur. Yapılan literatür incelemeleri neticesinde Nöropazarlama konusunda yapılan çok sayıda çalışmaya rastlanmış ancak nöropazarlama yönteminin ambalaj tasarımında kullanılması ile ilgili alan araştırmalarının yetersiz olduğu dikkat çekmiştir. Nöropazarlama yönteminin incelenmesindeki mevcut eksiklik araştırmanın önemini arttırmaktadır. Sonuç olarak elde edilen bilgilerin yasal anlamda doğru adımlar takip edilerek kullanılması halinde nöropazarlama uygulamalarının şirketlere avantaj sağlayacağı düşünülmektedir. Pazara sunulacak olan ürünlerin, ambalaj tasarımları tüketiciler üzerinde beklenilen etkiyi yaratmıyorsa o ürün piyasaya sürülmeden önce yani daha başlangıç aşamasındayken, ambalaj tasarımının değiştirilmesi hedeflenmektedir. Nöropazarlama araştırma ve uygulamalarının ilerleyen dönemlerde ambalaj tasarımı alanında kullanılan klasik yöntemlerin aksine çok daha etkili ve geçerli bir yöntem olarak kabul göreceği ve bilindik yöntemleri geride bırakacağı ön görülmektedir.

Most people struggle to articulate the reasons why a promotional email they are exposed to influences them to make a purchase. Marketing experts and companies find it beneficial to understand these reasons, even if consumers themselves cannot express them, by using neuromarketing tools, specifically the technique of eye tracking. This study analyses various types of email campaigns and their metrics and explores neuromarketing techniques to examine how email recipients view promotional emails. This study deploys eye tracking to investigate and also verify user attention, gaze, and behaviour. As a result, this approach assesses which elements of an email influence consumer purchasing decisions and which elements capture their attention the most. Furthermore, this study examines the influence of salary and the multiple-choice series of emails on consumer purchasing choices. The findings reveal that only the row that people choose to see in an email affects their purchasing decisions. Regarding promotional emails, the title and brand play a significant role, while in welcome emails, the main factor is primarily the title. Through web eye tracking, it is found that, in both promotional and welcome emails, large images captivate consumers the most. Finally, this work proposes ideas on how to improve emails for similar campaigns.

Introduction: Brand equity plays a crucial role in a brand's commercial success; however, research on the brain regions associated with brand equity has had mixed results. This study aimed to investigate key brain regions associated with the decision-making of branded and unbranded foods using quantitative neuroimaging meta-analysis and machine learning. Methods: Quantitative neuroimaging meta-analysis was performed using the activation likelihood method. Activation of the ventral medial prefrontal cortex (VMPFC) overlapped between branded and unbranded foods. The lingual and parahippocampal gyri (PHG) were activated in the case of branded foods, whereas no brain regions were characteristically activated in response to unbranded foods. We proposed a novel predictive method based on the reported foci data, referencing the multi-voxel pattern analysis (MVPA) results. This approach is referred to as the multi-coordinate pattern analysis (MCPA). We conducted the MCPA, adopting the sparse partial least squares discriminant analysis (sPLS-DA) to detect unique brain regions associated with branded and unbranded foods based on coordinate data. The sPLS-DA is an extended PLS method that enables the processing of categorical data as outcome variables. Results: We found that the lingual gyrus is a distinct brain region in branded foods. Thus, the VMPFC might be a core brain region in food categories in consumer behavior, regardless of whether they are branded foods. Moreover, the connection between the PHG and lingual gyrus might be a unique neural mechanism in branded foods. Discussion: As this mechanism engages in imaging the feature-self based on emotionally subjective contextual associative memories, brand managers should create future-oriented relevancies between brands and consumers to build valuable brands. [ABSTRACT FROM AUTHOR]

This research investigates the impact of applying neuromarketing techniques to three practical examples of higher education (HE) branding: an official college website page, an official college Facebook page, and recorded online video lectures used for teaching at HE institutions. The study was conducted in three different HE institutions with a representative sample of 720 participants, with n = 529 used for testing the CARE college website, n = 59 for testing the HAZEF Facebook page, and n = 132 for testing the emotional response of students studying online. To assess the participants' emotional responses, this study utilized automated facial coding through a webcam (15 Hz) and considered mood intensities. Additionally, a sentiment analysis was employed to verify the survey results and determine any discrepancies in the cognitive response. By analyzing gaze activity, movement patterns, and emotional responses, valuable insights were gained into students' behaviors and preferences. This study recommends incorporating neuromarketing research into HE branding and online teaching to enhance students' learning experiences. Overall, this study contributes to the understanding of human expectations and behaviors in response to online teaching and provides valuable insights for HE institutions in Europe. [ABSTRACT FROM AUTHOR]

Emotions significantly shape decision-making, and targeted emotional elicitations represent an important factor in neuromarketing, where they impact advertising effectiveness by capturing potential customers' attention intricately associated with emotional triggers. Analyzing biometric parameters after stimulus exposure may help in understanding emotional states. This study investigates autonomic and central nervous system responses to emotional stimuli, including images, auditory cues, and their combination while recording physiological signals, namely the electrocardiogram, blood volume pulse, galvanic skin response, pupillometry, respiration, and the electroencephalogram. The primary goal of the proposed analysis is to compare emotional stimulation methods and to identify the most effective approach for distinct physiological patterns. A novel feature selection technique is applied to further optimize the separation of four emotional states. Basic machine learning approaches are used in order to discern emotions as elicited by different kinds of stimulation. Electroencephalographic signals, Galvanic skin response and cardio-respiratory coupling-derived features provided the most significant features in distinguishing the four emotional states. Further findings highlight how auditory stimuli play a crucial role in creating distinct physiological patterns that enhance classification within a four-class problem. When combining all three types of stimulation, a validation accuracy of 49% was achieved. The sound-only and the image-only phases resulted in 52% and 44% accuracy respectively, whereas the combined stimulation of images and sounds led to 51% accuracy. Isolated visual stimuli yield less distinct patterns, necessitating more signals for relatively inferior performance compared to other types of stimuli. This surprising significance arises fromlimited auditory exploration in emotional recognition literature, particularly contrasted with the pleathora of studies performed using visual stimulation. In marketing, auditory components might hold a more relevant potential to significantly influence consumer choices. [ABSTRACT FROM AUTHOR]

Consumers' purchasing decision is the impulse to acquire goods or services; this impulse, in most cases, merits study from the psychological and sociological field in a market based on value for the client where consumers seek to satisfy their needs, tastes, or preferences. Merchandising is a marketing tool that allows a correlation between the product and the consumer, where it serves to strengthen the point of sale and, as a primary objective, stimulate purchases. The purpose of this research is to analyze the level of incidence in the purchasing decision about the merchandising used by supermarkets in the canton of Cuenca - Ecuador. In this research, information was collected through digital databases and websites with neuromarketing applications. In the same way, an instrument was created, which in this case was a survey carried out among consumers, to obtain information to meet the stated objective and verify the research hypothesis, determining a statistical model that ratifies or rejects the hypotheses. The results reflect a coefficient of determination R = 0.86 and R 2 = 0.734, implying that there is a good correlation of the dependent variable with the independent variables. The impact on consumers' purchasing decisions has been perceived through the application of merchandising strategies, thereby encouraging them to purchase their products. [ABSTRACT FROM AUTHOR]