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This study provides an overview of the evolution of the body of knowledge, current research streams, potential new domains, and theoretical models of interest for neuromarketing research developed in the field of communication. Neuromarketing is defined here as research applying psychophysiological or neuroscience methods in communication. We particularly implemented a comprehensive analysis of 861 publications using keyword cooccurrence analysis and science mapping tools. The performance analysis shows a strong growth in the number of publications over the last decade, with a slight declining impact in terms of citations after reaching a peak around the turn of the century. Contributions published in journals in business and communication fields (and not psychology or neuroimaging) are those with the largest average citations per year. The evolution diagrams highlight that the use of brain imaging tools to study ad persuasion in virtual environments and social marketing contexts (e.g., health or sustainable communication), as well as the employment of novel metrics (neural synchronization) and deep learning methods to analyze data, constitute fruitful research streams in the application of neuromarketing tools in communication research. These results offer communication scholars an accurate insight on recent scientific research applying neuromarketing that can shape further studies.

Despite the large body of research that has investigated the effect of ad appeals of television advertisements on consumers' internal responses and behavior, our understanding of how different ad appeals are processed remains limited. Complementing existing literature with novel insights from neuroimaging techniques can be valuable, providing more immediate insights into implicit mental processes. The present study explores the neural responses to functional and experiential executional elements in television advertisements by using functional magnetic resonance imaging (fMRI). Comparing a unique set of different commercials for the same brand enabled examination of the influence of differences in ad appeal on brain responses and subsequent advertisement effectiveness. Findings show that functional and experiential executional elements engage different brain areas, associated with lower- and higher-level cognitive processes, and that the extent to which these particular brain areas are activated is associated with higher ad effectiveness.

This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions. © 2012 Springer Science+Business Media, LLC.

This research aims to study the effect of a carefully selected congruent and simple ambient scent in a real-world supermarket setting. Specifically, we study how different levels of scent intensity affect shopper's mood, behavior and evaluations in a space with naturally occurring scents. Using electrostatic aroma diffusers, we apply a carefully selected melon scent at three different intensity levels in a large store of a major supermarket operator. The results show that, in the condition with high scent intensity, the scent has a significant positive effect on shopper’s store evaluations, time spent in store and store level sales. We provide evidence that mood is, as expected, a strong mediator of the effect of scent on positive evaluations. We also find that scent, used as a mood inducer, is especially effective for hurried shoppers. Interestingly, in terms of general mood inducement, we find that shoppers tend to overestimate the amount of time spent shopping at lower intensity levels and underestimate time spent shopping at high scent intensity levels. Implications for marketing and store management are discussed.

This study validates Rossiter and Percy's (1987) hook theory of presenter characteristics, for celebrity presenters. Firstly, by employing a product-alone control group, the study demonstrates that some celebrity-product pairings have a good fit and can persuade whereas others have no effect or represent such an obviously poor fit that they dissuade consumers from buying the product. Secondly, the study suggests that good fit, and thus persuasion, for celebrity presenters, depends on the audience immediately perceiving that the celebrity is an expert user of the product (for all products) and is a positive role model (for high-risk products). On the other hand, the study reveals that failure of any of four of the celebrity's characteristics causes dissuasion by celebrity presenters; these failures include lack of high visibility (i.e., not widely well-known), perceived inexpertness as a user of the product (a strong negative hook that is probably the reason for the poor fit perception), lack of trust (though this is a weak dissuasive factor for celebrities) and, paradoxically, the celebrity being too likable (for low-risk products). Thirdly, the hook(s) conceptualization of presenter characteristics is superior to the conventional linear conceptualization in that a hook-scored regression model accounted for the same amount of variance in persuasion–dissuasion as did the linear model (adjusted R 2 s of 41% vs. 43%) despite the hook model's handicap of at least one-third lower possible R 2 due to trichotomization of 7-point ratings into positive, neutral, and negative hooks.

The present research examines language abstraction as a method to systematically analyse word of mouth. First, we build on previous research on the systematic bias in the use of language abstraction in communication about human behavior, by revealing biased language use about objects. The first studies demonstrate that a negative word of mouth experience is described more abstractly by a consumer with an unfavorable (vs. favorable) product opinion. Second, we reveal how language abstraction influences a receiver¿s inferences about the product attitude of the consumer who is sending word of mouth, and how language abstraction influences the impact of word of mouth on the receiving consumer. Third, we extend previous research by ruling out the valence of the language as a possible alternative explanation for the use of abstract versus concrete language, and for the impact of this language on receivers.

Contains fulltext : 77104_pub.pdf (Publisher’s version ) (Closed access) Contains fulltext : 77104_pre.pdf (Author’s version preprint ) (Open Access) In word-of-mouth marketing, marketers often provide financial rewards for referrals. These rewards introduce a financial motive into an interaction among friends or acquaintances, which may harm the perceived sincerity of the referring customer. We show that this negative effect can be mitigated by disclosing the presence of financial motives, but also by the activation of a market pricing (‘sales’) relationship norm. However, such a norm has a negative effect on compliance with the referral. The effects of relationship norms are strongest when cognitive capacity is impaired, which suggests that the influence of relationship norms occurs outside the awareness of consumers. Conversely, the impact of disclosures is stronger when consumers have full cognitive capacity available. 10 p.

Canonical models of rational choice fail to account for many forms of motivated adaptive behaviors, specifically in domains such as food selections. To describe behavior in such emotion- and reward-laden scenarios, researchers have proposed dual-process models that posit competition between a slower, analytic faculty and a fast, impulsive, emotional faculty. In this paper, we examine the assumptions and limitations of these approaches to modeling motivated choice. We argue that models of this form, though intuitively attractive, are biologically implausible. We describe an approach to motivated choice based on sequential sampling process models that can form a solid theoretical bridge between what is known about brain function and environmental influences upon choice. We further suggest that the complex and dynamic relationships between biology, behavior, and environment affecting choice at the individual level must inform aggregate models of consumer choice. Models using agent-based complex systems may further provide a principled way to relate individual and aggregate consumer choices to the aggregate choices made by businesses and social institutions. We coin the term "brain-to-society systems" choice model for this broad integrative approach.

One of the pressing issues in marketing is whether loyalty programs really enhance behavioral loyalty. Loyalty program members may have a much higher share-of-wallet at the firm with the loyalty program than non-members have, but this does not necessarily imply that loyalty programs are effective. Loyal customers may select themselves to become members in order to benefit from the program. Since this implies that program membership is endogenous, we estimate models for both the membership decision (using instrumental variables) and for the effect of membership on share-of-wallet, our measure of behavioral loyalty. We use panel data from a representative sample of Dutch households who report their loyalty program memberships for all seven loyalty programs in grocery retailing as well as their expenditures at each of the 20 major supermarket chains. We find a small positive yet significant effect of loyalty program membership on share-of-wallet. This effect is seven times smaller than is suggested by a naive model that ignores the endogeneity of program membership. The predictive validity of the proposed model is much better than for the naive model. Our results show that creating loyalty program membership is a crucial step to enhance share-of-wallet, and we provide guidelines on how to achieve this. (c) 2007 Elsevier B.V. All rights reserved.

This article presents an introduction to and analysis of an emerging area of research, namely decision neuroscience, whose goal is to integrate research in neuroscience and behavioral decision making. The article includes an exposition of (1) how the exponential accumulation of knowledge in neuroscience can potentially enrich research on decision making, (2) the range of techniques in neuroscience that can be used to shed light on various decision making phenomena, (3) examples of potential research in this emerging area, and (4) some of the challenges readers need to be cognizant of while venturing into this new area of research.

Although much progress has been made in relating brain activations to choice behaviour, evidence that neural measures could actually be useful for predicting the successfulness of marketing actions remains limited. To be of added value, neural measures should significantly increase predictive power, above and beyond conventional measures. In the present study, the authors obtained both stated preference measures and neural measures (electroencephalography; EEG) in response to advertisements for commercially released movies (i.e. movie-trailers), to probe its potential to provide insight into individual preferences in our subjects, as well as movie sales in the population at large. The results show that EEG measures (beta and gamma oscillations) provide unique information regarding individual and population-wide preference, above and beyond stated preference measures, and can thus in principle be used as a neural marker for commercial success. As such, these results provide the first evidence that EEG measures are related to real-world outcomes, and that these neural measures can significantly add to models predicting choice behaviour compared to models that include only stated preference measures.

Item does not contain fulltext In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We describe three new frontiers for ongoing progress at both theoretical and applied levels. First, the field will broaden its boundaries to include genetics and molecular neuroscience, each of which will provide important new insights into individual differences in decision making. Second, recent advances in computational methods will improve the accuracy and out-of-sample generalizability of predicting decisions from brain activity. Third, sophisticated meta-analyses will help consumer neuroscientists to synthesize the growing body of knowledge, providing evidence for consistency and specificity of brain activations and their reliability as measurements of consumer behavior. 11 p.

In this paper we conceptualize the impact of information technology on marketing decision-making. We argue that developments in information technology affect the performance of marketing decision-makers through different routes. Advances in information technology enhance the possibilities to collect data and to generate information for supporting marketing decision-making. Potentially, this will have a positive impact on decision-making performance. Managerial expertise will favor the transformation of data into market insights. However, as the cognitive capabilities of marketing managers are limited, increasing amounts of data may also increase the complexity of the decision-making context. In turn, increased complexity enhances the probability of biased decision processes (e.g., the inappropriate use of heuristics) thereby negatively affecting decision-making performance. Marketing management support systems, also being the result of advances in information technology, are tools that can help marketers to benefit from the data explosion. These systems are able to increase the value of data and, at the same time, make decision-makers less vulnerable to biased decision processes. Our analysis leads to the expectation that the combination of marketing data, managerial judgment, and marketing management support systems will be a powerful factor for improving marketing management. Implications of our analysis are discussed.

A major concern for service managers is to counteract negative effects of waiting. In this study, the effects of objective waiting time and waiting environment on satisfaction with the service were investigated. Two elements of the waiting environment were distinguished: the attractiveness of the waiting room and the presence of television (TV) as an explicit distracter. The mediating role of three subjective variables (perceived waiting time, acceptable waiting time and the (cognitive and affective) appraisal of the wait) was explored. Waiting appears to influence satisfaction quite strongly. The adverse effects of waiting can be soothed more effectively by improving the attractiveness of the waiting environment than by shortening the objective waiting time. Objective waiting time influences satisfaction mainly via a cognitive route: through perceived waiting time (in minutes) and the long/short judgment of the wait. Perceived attractiveness of the waiting environment operates mainly through affect, and thus serves as a mood inducer. The acceptable waiting time appears to be a critical point of reference, since surpassing it provokes strong affective responses. Although the presence of TV did not result in the expected effect of distraction, the tendency to watch it was found to be dependent on the length of the wait (and thus, boredom).

In this paper we present the results of an experimental study of the impact of the quality of a marketing decision support system (MDSS). The experiment was conducted in the MARKSTRAT environment. The quality of an MDSS was operationalized as the predictive precision of its simulation models. The results show that marketing decision-makers using a high-quality MDSS outperform marketing decision-makers using a medium-quality MDSS. The superior performance with the high-quality MDSS was obtained for both low and high time-pressure.