What’s in a name? The effect of congruent and incongruent product names on liking and emotions when consuming beer or non-alcoholic beer in a bar
Introduction
In the wide world of beverages non-alcoholic beer (NAB) is the closest beverage to beer in a sense that both are produced with the same raw materials and NAB provides visual sensory cues that simulate beer (Sohrabvandi, Mousavi, Razavi, Mortazavian, & Rezaei, 2010). However, the differences between these beverages in terms of flavour, functional and emotional conceptualisations are acknowledged by consumers. BEER evokes positive high arousal emotional responses, such as adventurous and energetic whereas NAB is seen as a substitute and evokes mainly neutral or negative emotional responses, such as rational, conscious, and disappointment (Silva et al., 2016). This raised the question how product names, “BEER” and “NON-ALCOHOLIC BEER”, might affect the conceptualisation of these beverages and therefore consumeŕs responses to their consumption. This study can be an important contribution from nutritional and social perspectives, to a better understanding of beverage choice, and particularly between alcoholic versus non-alcoholic beers. It can also be useful for marketing and product development purposes, in the beverage industry.
Expectations are psychological anticipations that something will occur or be experienced (Cardello, 2007), affect reactions and decisions, sometimes at an unconscious level, and may improve or degrade the perception of a food/beverage even before it is tasted (Deliza & MacFie, 1996). Expectations may be derived from intrinsic properties of a product such as sensory attributes, in which sensory and perceptual systems are involved, or from extrinsic attributes such as product name, which operates via cognitive and psychological mechanisms (Cardello, 2007). When a food/beverage is consumed, the actual experience (AE) is compared by consumers to the expected experience (EE) and when hedonic evaluation of a product is the same as expected (AE = EE) confirmation occurs. However, in the case of discrepancy between experiences (AE ≠ EE), the observed effects can be explained by the assimilation/contrast model proposed by Anderson (1973). Assimilation occurs when consumers adjust their perception of the product to what was expected, attempting to minimize the discrepancy between expected and actual experiences. Assimilation predicts positive disconfirmation when expectations are lower than the actual hedonic evaluation of a product (EE < AE) and negative disconfirmation when expectations are higher than the hedonic evaluation of a product (EE > AE) (Cardello, 2003). Contrast effects, on the other hand, occur when consumers magnify the discrepancy between expected and actual experiences (Yeomans, Chambers, Blumenthal, & Blake, 2008). Sensory expectations of food and beverages based on extrinsic cues have been studied widely (see Piqueras-Fiszman and Spence (2015) for a review). Previous studies suggested that preferences for specific beers, based on liking scores of blind samples of beers, are influenced primarily through expectations derived from different extrinsic attributes, such as brand (Allison & Uhl, 1964), information regarding manufacturing technology (Caporale & Monteleone, 2004) and information and timing when participants were informed about a secret ingredient added to beer (Lee, Frederick, & Ariely, 2006), rather than from the taste experience itself, i.e. from the intrinsic attributes.
The assessment of product-evoked emotions, rather than liking only, has recently gained popularity amongst researchers with the general aim of characterizing consumeŕs responses to food and beverages (e.g. Cardello et al., 2012, King et al., 2010, Porcherot et al., 2012, Spinelli et al., 2015, Thomson et al., 2010). Chaya, Pacoud, Ng, Fenton, and Hort (2015) studied the emotional response to beer in three different conditions: blind (liquid only), packaging (only) and informed (liquid plus packaging). The authors suggested that sensory properties drove the emotional responses in the blind condition, e.g. the more carbonated beers evoked more pleasant emotions and sweeter beers were associated with less engaging emotions. In the packaging condition this effect was even stronger, resulting in better differentiation between products in terms of emotion profiles. Information from the packaging related to alcohol content might have influenced emotional responses, as low alcohol beers were associated with less activated emotions and alcoholic beers were associated with more activated emotions. The study described was performed with consumers tasting a small amount of beer and it is not known what emotional change is triggered by drinking a whole glass of beer or NAB. Evaluating and comparing feelings before and after product experience can reveal which feelings are connected to the product and how they evolve (Meiselman, 2015). For example, Porcherot, Petit, Giboreau, Gaudreau, and Cayeux (2015) investigated feelings before and after drinking an alcoholic aperitif showing that the most familiar variant of the beverage was associated with a greater decrease in negative mood states. The measurement of emotions before and after product experience is identified as a possible verification for the factual contribution of emotion measurement in consumer research (Köster & Mojet, 2015).
The primary objective of this study was to assess how the product name, “BEER” or “NON-ALCOHOLIC BEER”, influenced liking and the emotions elicited, before and after drinking either a BEER or NAB, when the beverages were given to consumers named correctly and incorrectly with respect to their composition. It was hypothesized that the product name “BEER” or “NAB” would have a stronger effect on consumers’ responses than the actual flavour of the beverage. It was anticipated that the responses would follow the expectations triggered by the product name, which would be in line with either a positive or negative assimilation effect (Anderson, 1973).
The second objective was to investigate the emotional response induced by drinking either a BEER or NAB, i.e. comparing the emotional response before and after drinking BEER or NAB, when product name and beverage content were congruent.
When measuring self-reported emotions it is important that the emotion terms offered are relevant for the product category and culture (van Zyl & Meiselman, 2015). Therefore, different emotion lists have been developed for different beverages (e.g. for wine – Ferrarini et al. (2010), for coffee – Bhumiratana, Adhikari, and Chambers (2014) and for blackcurrant juice – Ng, Chaya, and Hort (2013)). The emotion terms used in the present study are the outcome of a previous qualitative study reporting the emotional associations of Dutch consumers with BEER and NAB consumption (Silva et al., 2016). Using this list in the present study allowed the validation of the methodology by measuring emotional associations with BEER and NAB, adding quantitative data and capturing variations between the beverages for different moments (before and after drinking).
Given the importance of context of consumption for liking and emotion measurements (de Graaf et al., 2005, Meiselman, 2006, Piqueras-Fiszman and Jaeger, 2014) and specifically for beer (Dorado, Chaya, Tarrega, & Hort, 2016), this study was performed in a realistic consumption context, a café/bar, as it is one of the main places where beer consumption occurs (Silva et al., 2015). The use of a realistic testing situation increases the validity of the measurements of a study (Köster, 2003).
Section snippets
Participants
One hundred and fifty-five moderate beer consumers (between 1 and 16 glasses of beer/week), were recruited in Wageningen, the Netherlands for this study. Gender and age group were equally represented (50% males, 50% females, 50% 18–34 years and 50% 35–65 years old). Level of education varied from vocational education (seventeen participants, 11%), bachelor degree (forty participants, 26%) and post-graduate degree (master or higher) (ninety-eight participants, 63%). Eighty-two participants (53%)
Effect of product name on liking
The mean scores and standard errors of liking per beverage under each condition are presented in Fig. 1. Results showed that rating time, product name and beverage type all had a main effect on liking scores. Liking was higher when based on the prior information of the product name, compared to after consuming the product (F(1, 154) = 50.4, p < 0.003); the name “BEER” induced higher liking scores than the name “NAB” (F(1, 154) = 86.7, p < 0.003) and the beverage BEER induced higher liking scores than
Discussion
This study aimed to assess how the product name, “BEER” or “NAB”, influenced liking and the emotions elicited before and after drinking each beverage in a natural context of consumption, namely a bar. The product name influenced liking scores but only when NAB was named “BEER”. In addition, particular emotions changed depending on the product name. More specifically one positive emotion increased when NAB was named “BEER” whereas six positive emotions decreased when BEER was named “NAB”.
Conclusions
The expectation created by a single word, namely “BEER” and “NAB” with no associated brand or packaging, changed how much consumers liked a beverage and the intensity of the emotions evoked by it. The hypothesis that the product name would have a stronger influence than the actual flavour on the response of participants, both in terms of liking and emotions, seems not to be completely confirmed as the influence depended on which product name was used. When the product name did not appeal to
Acknowledgements
The authors gratefully acknowledge the Dutch Beer Institute (Kennis Instituut Bier) for their support to perform this study, the graduate school VLAG from Wageningen University and the Portuguese Foundation for Science and Technology (FCT) for the PhD grant of A.P. Silva (Ref. SFRH/BD/85152/2012). Also thanks to the owners of the café Onder de Linden and to the participants for their enthusiastic participation. A special thanks to the team that assisted during study performance: Eva Fechner,
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2022, Food Quality and PreferenceCitation Excerpt :This finding is in line with previous research which suggests that liking and alcohol content are closely related. For example, adding alcohol into non-alcoholic lager beers can increase consumers’ ratings of liking (Ramsey et al., 2018), and labelling non-alcoholic beers as alcoholic can increase perceived liking (Silva et al., 2017), presumably through improved expectations. Similarly, labelling wines as “partially dealcoholized” decreased both expected and perceived liking (Meillon et al., 2010).