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Nudging to get our food choices on a sustainable track

Published online by Cambridge University Press:  28 June 2019

J. Vandenbroele*
Affiliation:
Faculty of Economics and Business Administration, Department of Marketing, Innovation and Organisation, Tweekerkenstraat 2, 9000Ghent, Belgium
I. Vermeir
Affiliation:
Faculty of Economics and Business Administration, Department of Marketing, Innovation and Organisation, Tweekerkenstraat 2, 9000Ghent, Belgium
M. Geuens
Affiliation:
Faculty of Economics and Business Administration, Department of Marketing, Innovation and Organisation, Tweekerkenstraat 2, 9000Ghent, Belgium
H. Slabbinck
Affiliation:
Faculty of Economics and Business Administration, Department of Marketing, Innovation and Organisation, Tweekerkenstraat 2, 9000Ghent, Belgium
A. Van Kerckhove
Affiliation:
Faculty of Economics and Business Administration, Department of Marketing, Innovation and Organisation, Tweekerkenstraat 2, 9000Ghent, Belgium
*
*Corresponding author: J. Vandenbroele, email [email protected]
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Abstract

Food production is one of the major contributors to environmental damage. Adaptations in our food choices are needed to preserve resources for the needs of future generations. More sustainable consumption patterns have been encouraged by economic incentives, laws, education and communication campaigns. Nonetheless, consumers still find difficulties in trying to change their current food habits. This review takes a behavioural approach in encouraging sustainable food choices among consumers. From a nudging perspective, many behavioural changes can be encouraged in a non-obtrusive way by adapting the complex food environment in which consumers are operating. These interventions do not restrict consumers' choices but rather adapt the choice architecture wherein food decisions are made. Drawing on the literature from diverse theoretical perspectives, we provide an overview of the application of nudging for more sustainable food choices and highlight where more research is needed. More specifically, we discuss research that used nudging to engender cognitive impact (i.e. the use of labels or visibility enhancements), affective responses (i.e. sensorial and social influence cues) and behavioural effects (i.e. adjustments in convenience and product size). We conclude that this review only shows the tip of the iceberg of the research on nudging and sustainable consumption that is likely forthcoming in the next few years, following the successes of nudging applications in other domains. Nonetheless, each individual nudging intervention requires careful examination. Personal predispositions towards the environment should be considered when designing interventions, demonstrating the complementarity of nudging with education on sustainable consumption.

Type
Conference on ‘Optimal diet and lifestyle strategies for the management of cardio-metabolic risk’
Copyright
Copyright © The Authors 2019

Our current food production has a tremendous effect on the environment. The livestock sector accounts for 14·5 % of human-induced greenhouse gas emissions(Reference Gerber, Steinfeld and Henderson1), while the impact of global food consumption in 2010 was estimated at 1·5 metric tons total greenhouse gas emission per capita(Reference Girod, van Vuuren and Hertwich2).

Moreover, the agricultural intensification needed to meet our food demand is one of the major contributors to biodiversity loss(Reference Hilton-Taylor3). At the level of household consumption, food contributes 48–70 % of the impact on water and land resources, with meat, dairy and processed foods as the main drivers(Reference Ivanova, Stadler and Steen-Olsen4). As our global population is still growing (9·6 billion by 2050)(Reference Gerber, Steinfeld and Henderson1), the future impact of food production on the environment will only become more intense(Reference McMichael, Powles and Butler5).

Food producers are held responsible for climate damage by the public opinion, although consumers are increasingly acknowledging the responsibility of food providers as well(Reference Jones, Hillier and Comfort6,Reference Peattie7) . Retailers, cafeterias, canteens and restaurants all play an important role in shaping our food choices, as they decide on what food will be available to the consumer(Reference Dawson8,Reference Lehner9) . Nonetheless, the role of customers should not be underestimated, as small changes in the individual dietary pattern can collectively significantly decrease environmental damage(Reference Stehfest, Bouwman and van Vuren10). After all, changes in consumer food choice habits dictate changes in food supply(Reference Girod, van Vuuren and Hertwich2).

Sustainable food choices

Sustainable consumption has been defined in the Oslo Roundtable of 1994(Reference Baker11) as ‘The use of goods and services that respond to basic needs and bring a better quality of life, while minimizing the use of natural resources, toxic materials and emissions of waste and pollutants over the life cycle, so as not to jeopardize the needs of future generations’. As food is an important factor in our consumption pattern, it is not surprising that the 2015 European Nutrition Conference was hosted with a special symposium on ‘sustainable consumption’(Reference Meybeck and Gitz12). Nonetheless, an in-depth discussion of what can be labelled as ‘sustainable food’ is out of the scope of the present paper and will mainly be illustrated by the foods that are targeted in the studies of our review. That is, many researchers focus on how to effectively promote products that contribute less to CO2-emissions (e.g. plant-based food such as vegetarian products, vegetables and fruit), while also investigating how consumers can be motivated to reduce their consumption of products with high CO2-emissions (e.g. red meat(Reference de Boer and Aiking13,Reference O'Mara14) ). Besides, the promotion of products that are locally produced has also been heavily studied because these products avoid environmental damage from transportation(Reference Carlsson-Kanyama and González15). Nonetheless, transportation accounts for only 11 % of the greenhouse gas emissions in the food cycle, and production is still the main source, accounting for 83 % in the USA(Reference Weber and Matthews16).

Nudging

This review focuses on interventions that aim to promote sustainable food choices and discourage less sustainable options. More specifically, we provide an overview of the results obtained by means of nudging. Nudging aims to change people's behaviour in a predictable way without forbidding any options or significantly changing their economic incentives(Reference Thaler and Sunstein17). Hence, nudging differs from initiatives that aim to make sustainable consumption more economically appealing, for instance subsidies for solar panels. Moreover, nudging initiatives tend to be relatively less costly than educational initiatives(Reference Benartzi, Beshears and Milkman18). Nudging also does not impose any restrictions as do enforced laws, such as the banning of plastic, but embraces the freedom of choice for the customer(Reference Sunstein19). This principle of libertarian paternalism is one of the two core principles of nudging(Reference Thaler20).

Indeed, nudging interventions are rather unobtrusive and trigger consumer responses without requiring much cognitive effort(Reference Thaler and Sunstein17). This difference in cognitive effort is also exactly what differentiates nudging from classic informational campaigns and education, which aim to convince consumers to change their attitudes with rational arguments(Reference Guthrie, Mancino and Lin21); a process that requires more cognitive effort(Reference Andrews, Netemeyer and Burton22). This approach might not be suitable in a food context, where a choice between options is often guided by fast, automatic and/or cognitively effortless responses to environmental stimuli. A thoughtful, slow and/or analytical processing of all available food options would be too time-consuming in many conditions, such as in making food decisions(Reference Wansink and Sobal23).

Indeed, many so-called dual process theories distinguish between two processing styles(Reference Evans24), of which Kahneman's System 1 (fast and effortless processing) and System 2 (slower and analytical processing) are the most prominent(Reference Kahneman, Frederick, Gilovich, Griffin and Kahneman25). Even if communication campaigns succeed, such that sustainable information is processed under high cognitive effort and positive attitudes have been created, behavioural changes are still not guaranteed. The attitude–behaviour gap for sustainable behaviour illustrates that consumers often have positive predispositions towards sustainable consumption, but these do not always translate into actual behavioural changes(Reference Vermeir and Verbeke26).

For this reason, nudging starts from the perspective of the consumer. Knowing how consumers make food decisions in a complex food environment provides insight into how food presentation may lead to sustainable food purchase choices by the consumer. This is called an optimisation of the choice architecture, which establishes the second core principle of nudging(Reference Thaler20). Many elements in a food environment will affect our choices, such as the way products are positioned(Reference Bucher, Collins and Rollo27), their visibility(Reference Wilson, Buckley and Buckley28) or packaging(Reference Tijssen, Zandstra and de Graaf29). The results of these types of interventions at the point of purchase, such as in retail stores, cafeterias and restaurants, seem promising(Reference Vermeer, Steenhuis and Leeuwis30,Reference Brambila-Macias, Shankar and Capacci31) , and consumers also believe that these interventions can help them more easily regulate their in-store consumption decisions(Reference Vermeer, Steenhuis and Seidell32).

Our review provides a non-exhaustive overview of the application of nudging for more sustainable food choices at the point of purchase. For some categories of nudging, research on sustainable food choices is still in its infancy, so we enriched our discussion with insights from general sustainable consumption, health research, policy making and consumer behaviour. In doing so, we also highlighted the domains where more research is needed. To the best of our knowledge, no framework on sustainable food choices has yet been published. Therefore, we built our review on the framework for the in-field health interventions of Cadario and Chandon(Reference Cadario and Chandon33). They categorised the nudges according to whether the nudge exerted an influence on consumers' cognition (i.e. consumer knowledge), effect (i.e. consumers' feelings) or behaviour (i.e. motor responses).

Cognitively oriented interventions

Descriptive labelling

Consumers' interest for specific product attributes, such as origin, ingredients and production process, has gradually increased over the years(Reference Costanigro, Kroll and Thilmany34). Consequently, labels focusing on food attributes have become increasingly popular, as demonstrated by the many studies on energy and nutrition labelling (see Cowburn and Stockley(Reference Cowburn and Stockley35) for a systematic review). A similar trend can be detected for sustainable products, such that many products display sustainable labels on food packaging, menus in restaurants or next to the product in buffets(Reference Costanigro, Kroll and Thilmany34). The complexity of what can be considered sustainable consumption also implies that a wide variety of sustainable labels can be used(Reference Gruère36), ranging from where the product is coming from (i.e. ‘local’(Reference Feldmann and Hamm37,Reference Telligman, Worosz and Bratcher38) ), to how it is produced (i.e. ‘organic’, ‘fair trade’, ‘recycled’(Reference Poelman, Mojet and Lyon39,Reference Songa, Slabbinck and Vermeir40) ) or which non-sustainable ingredients are removed from the product (i.e. ‘free from’(Reference Hartmann, Hieke and Taper41)).

Sustainable labels might function as eye-catchers when consumers are shopping in an environment where many products are competing for attention and cognitive resources are limited(Reference Milosavljevic, Navalpakkam and Koch42). Labels can also help consumers determine whether a product is sustainable(Reference Newell and Siikammki43,Reference Kallbekken, Saelen and Hermansen44) . For example, labels can give information on the seasonality of products(Reference Feldmann and Hamm37,Reference Slabbinck, Vandenbroele and Van Kerckhove45) , and whether the product is certified by a third party according to specific sustainability criteria (cf. Rainforest Alliance certificate(46)) or human respect criteria (cf. Fair Trade certificate(47)). Recent research also shows the positive effects of sustainable labels on product perceptions; eco-labels have positively affected taste judgements and willingness to pay(Reference Sörqvist, Haga and Langeborg48), wine labelled as organic has led to higher taste ratings(Reference Wiedmann, Hennigs and Behrens49), and products that are defined as ‘local’ have become more popular because of higher taste and quality associations(Reference Feldmann and Hamm37).

However, descriptive labels not only impact consumers' attention, information and associations with sustainable products but also have been shown to evoke emotional and behavioural responses. Products labelled as organic are believed to contribute to environmental protection (i.e. appealing to utilitarian attitudes), and as such, people experience emotional gratification from buying organic (i.e. appealing to hedonic attitudes(Reference Lee and Yun50)). Even before buying, feelings of anticipated pride can predict pro-environmental choices later on(Reference Schneider, Zaval and Weber51). Nonetheless, a more negative feeling (i.e. guilt) has been demonstrated to make people feel more personally responsible for environmental damage and increase the likelihood that people buy products with sustainable labels(Reference Antonetti and Maklan52) or support pro-environmental behaviour(Reference Rees, Klug and Bamberg53,Reference Lu and Schuldt54) . Eco-labels that focus on omitting non-sustainable ingredients, such as ‘free from palm oil’, affect behavioural intentions such as the ‘willingness to pay a price premium’ among people who actively look for information and have a high preference for naturalness(Reference Hartmann, Hieke and Taper41).

Numerous studies have demonstrated the effects of sustainable labels on consumer response; however, the direction of the effects is ambiguous and largely determined by personality traits such as environmental concern(Reference Poelman, Mojet and Lyon39,Reference Sörqvist, Haga and Langeborg48,Reference Verain, Sijtsema and Antonides55Reference Piqueras-Fiszman and Spence58) . For example, whether consumers notice sustainable labels has been shown to depend largely on their implicit (i.e. neurophysiological emotional reactions) and explicit (i.e. self-reported feelings) positive predispositions towards sustainable behaviour(Reference Songa, Slabbinck and Vermeir40,Reference Van Loo, Caputo and Nayga59) . Moreover, the positive effects of sustainability claims are more profoundly observed when consumers understand and trust the labels(Reference Vermeir and Verbeke26,Reference Janssen and Hamm60Reference Samant and Seo62) . Organic labels may also backfire, such that consumers who are less concerned with the environment perceive organic labelled products as less tasty(Reference Schuldt and Hannahan63,Reference Lee, Shimizu and Kniffin64) . Buying organic labelled products might also trigger compensation behaviour (i.e. additional purchases of less sustainable products), so that consumers end up with a higher total environmental impact of their food purchases(Reference Gorissen and Weijters65). Moreover, the wide variety and multiple application of sustainable logos(Reference Pierrot, Giovannucci and Kasterine66) can be confusing for consumers(Reference Gadema and Oglethorpe67), so that they might follow the heuristic that a labelled product is better than one without label, instead of actually deciphering the provided information on the sustainability label of the product(Reference Hartmann, Hieke and Taper41,Reference Janssen and Hamm60) . To better align labels with consumers' preferences, more research is needed on the level at which labels should be created (e.g. Belgian v. European(Reference Van Loo, Caputo and Nayga68)) and on which measures they should be based (e.g. food miles v. CO2 emissions(Reference Van Loo, Caputo and Nayga68)). Lastly, few studies have investigated how sustainable labels affect actual food choices; a 2013 study(Reference Grunert, Hieke and Wills69) even found that sustainable logos did not affect the food choices of European consumers at the time.

Evaluative labelling

As consumers face a hard time deciphering different sustainable attributes, it is suggested to ease their understanding by providing evaluative information rather than descriptive information(70). Evaluative labels of sustainability can use ratings that provide an immediate indication of how sustainable the product is, such that food labels carry low–medium–high descriptions or a one-, two- or three-star rating(Reference Sutherland, Kaley and Fischer71,Reference Rosi, Zerbini and Pellegrini72) . A field study on healthiness showed that significantly fewer ‘high-fat’ and ‘high-energy’ products were sold when labelled as such, while the sales of ‘low-fat’ and ‘low-energy’ products went up(Reference Cioffi, Levitsky and Pacanowski73). One study on sustainable evaluative labelling(Reference Cho and Baskin74) also highlights the importance of healthiness perceptions. They found that a high sustainability label increases product preference only if the food product is perceived as being high in healthiness. Hence, a fit between the level of sustainability and healthiness was needed for the ‘high’ sustainable label to be successful, perhaps because the average consumer expects sustainable products to be more healthy, as demonstrated in another study(Reference Verain, Sijtsema and Antonides55). In a similar vein, ample research efforts have recently been put into creating labels that combine the impact of food on healthiness and sustainability(Reference Hallström, Davis and Woodhouse75,Reference Heller, Keoleian and Willett76) . These labels provide an overall dietary quality score, although the approach on how to quantify this measure is not yet unified among researchers.

Colour coding can be another way to support consumers in making better decisions(Reference Vanclay, Shortiss and Aulsebrook77). For example, traffic light labelling builds on our socially learned associations that the colour green signals safety, while red signals danger, which leads to the assumption that red can function as a consumption-stopping cue(Reference Genschow, Reutner and Wänke78). Applying this idea to evaluative labelling, more sustainable products would be marked with a green label, while less sustainable products would be marked with a red label(Reference Thorndike, Sonnenberg and Riis79,Reference Olstad, Vermeer and McCargar80) . Research showed that health decisions were improved by applying traffic light labelling in a cafeteria or university canteen(Reference Thorndike, Sonnenberg and Riis79Reference Thorndike, Riis and Sonnenberg81), although an online experiment found mixed results depending on the country of origin (positive effect in Germany v. no significant difference in Poland)(Reference Aschemann-Witzel, Grunert and van Trijp82). In a grocery setting, the sales of black labelled products (i.e. high carbon emission) decreased by 6 %, while the sales of green labelled products (i.e. low carbon emission) increased by 4 %(Reference Vanclay, Shortiss and Aulsebrook77). Interestingly, the intention to avoid red labels is greater than the preference for green labels(Reference Rosi, Zerbini and Pellegrini72,Reference Scarborough, Matthews and Eyles83) . This might be explained by consumers' perception that negative information (i.e. red logo) looms larger (Reference Baumeister, Bratslavsky and Finkenauer84) than positive information. However, the effectiveness of colour labelling does not generalise across products; the negative effect of a red surface on food selection appears to be more profoundly observed for unhealthy (v. healthy) products(Reference Reutner, Genschow and Wänke85). This highlights the importance of a fit between consumers' perceptions on what is ‘bad’ and the colour (e.g. unhealthy food and red) and that the effects are less clear when there is a mismatch (e.g. healthy food and red). This raises the question of whether colour coding would work for sustainable food choices, for which consumers' associations on what is ‘bad’ and ‘good’ might be less strong.

Note that not all studies find positive effects in evaluative labelling on food choices(Reference Aschemann-Witzel, Grunert and van Trijp82,Reference Hoefkens, Lachat and Kolsteren86) , and some authors warn of compensatory consumption(Reference Chandon and Wansink87). Consumers might compensate for ‘low’ label purchases with less sustainable choices in side dishes or in their following food choices. Moreover, they may be exclusively focused on the characteristic that is ‘low’, so they overlook other negative characteristics of the food product (e.g. low-fat and high-sugar food(Reference Wansink and Chandon88)). Future research should determine whether evaluative labelling on sustainable products also triggers such compensatory effects.

Visibility enhancements

Visual attention (i.e. the amount of fixation time) is an important proxy for product selection(Reference Armel, Beaumel and Rangel89); therefore, the positioning of sustainable products at the point of purchase should be carefully considered. For example, products that are presented at eye level(Reference Glanz, Karpyn and Wojtanowski90,Reference Gamburzew, Darcel and Gazan91) have been shown to draw more attention and enter more easily the set of products considered by the consumer(Reference Keller, Markert and Bucher92). Another attention hotspot in retail stores is the shelf next to the cash register, where consumers have time to process the offerings while queuing to pay(Reference Kroese, Marchiori and de Ridder93). Even the order of products on a restaurant menu can impact food choices, such that products placed at the top of the menu benefit from a primacy effect and tend to be selected more often(Reference Dayan and Bar-Hillel94,Reference Policastro, Smith and Chapman95) . A recent study(Reference Kurz96) applied two visibility interventions on sustainable products for 9 months in a university canteen by changing the menu order (i.e. from the middle to the top position) and increasing the visibility of vegetarian products (i.e. more visible location). Combining both interventions increased the sales share of the vegetarian dishes significantly compared to all purchases with six percentage points. Moreover, a significant long-term effect was observed, so that after the intervention period, the share of vegetarian dishes was still four percentage points higher compared to the baseline period.

Increasing the availability of sustainable products in the assortment is also often related to greater visibility, and together, they have a strong effect on purchase intentions(Reference Wilson, Buckley and Buckley28). Although the assortment of more sustainable food choices, such as organic and vegetarian products, has been increasing over the years, its share is still relatively small compared to general products(Reference Sadler97,Reference Schösler, Boer and Boersema98) . Studies on healthier food choices show promising results in that increasing the relative share of healthier foods (e.g. from 25 to 75 %) translates into more healthy purchases: the chances of buying a healthy product were multiplied by 2·9 times in an online study and 3·5 times in a canteen(Reference van Kleef, Otten and van Trijp99). Interestingly, regarding the principles of nudging(Reference Thaler and Sunstein17), consumers did not perceive the assortment to be more restrictive by the intervention. Another field experiment combines healthy labelling and increased availability so that students chose more healthy options in the vending machine(Reference Rosi, Zerbini and Pellegrini72). One study found mixed results: increasing the share of healthy options encouraged the sales of healthy dishes in only two out of six cafeterias(Reference Pechey, Cartwright and Pilling100).

Incorporating sustainable products in the existing assortment can be challenging for managers(Reference van Herpen and Bosmans101), as they can choose to mix them with the existing assortment (i.e. comparative positioning) or offer them separately (i.e. unique feature positioning). For example, meat substitutes, which are vegetarian products that are sensory similar to a specific meat product, are currently mostly shelved in a unique feature positioning(Reference Gravely and Fraser102). However, this separate shelf might be consistently skipped by non-vegetarians, so that meat substitutes do not enter the consideration set of these consumers. Non-users could be helped in recognizing meat substitutes as valuable alternatives by placing them next to the mimicked meat product(Reference Vandenbroele, Slabbinck and Van Kerckhove103). Suggestions are made that in this choice architecture, meat substitutes might appear as more familiar and less novel, as their sensory similarity with the mimicked product can be easily observed(Reference Adise, Gavdanovich and Zellner104Reference Hoek, Pearson and James106).

This positioning question also pertains to when evaluative labels are used (e.g. one-, two- or three-star sustainability rating) and raises the question of where the ‘mildly’ sustainable products should be offered. Research suggests(Reference van Herpen, Fischer and van Trijp107) that when there is a fit between the price setting and the product (i.e. intermediate price and intermediate star rating), sales increase if these products are positioned in a separate section. However, if there is no match and the two-star product is offered at a low price, mixing them with the low and high ratings (i.e. comparative positioning) has been found to boost the sales of the intermediate product. Positioning is also a critical challenge in online food retail, as the categorisation of the products highly affects purchases(Reference Chandon, Hutchinson and Young108). Moreover, environmental attitudes should again be considered when optimizing shelf management. That is, if the assortment is aligned with the consumers' goal, so that organic products are presented separately and the consumer has the intention to buy an organic product, organic purchases have been found to be higher compared to when they are comparatively positioned with other products that are not related to consumers' goal(Reference van Herpen, Fischer and van Trijp107).

Affectively oriented interventions

Hedonic enhancements

Hedonic interventions trigger our senses so that products become more attractive by appealing to our taste, vision, olfaction (i.e. smell), audition and haptics (i.e. touch). Research on sensory marketing has gained importance over the past few years(Reference Krishna109). Therefore, we will extend the original category in the framework of Cadario and Chandon(Reference Cadario and Chandon33) on hedonic enhancements by discussing research on each sense. We categorise on the main sensory characteristic of the nudge, although some nudges might trigger other senses and processes too, so the categorisation is not mutually exclusive.

Vision

Visual packaging elements play an important role in shaping expectations about products and their sensory properties, and some might even affect taste perceptions(Reference Piqueras-Fiszman and Spence58). A recent study shows that the sales of vegetarian products can be boosted by giving them a more attractive description, such as ‘fresh seasonal risotto primavera’, instead of ‘risotto primavera’(Reference Bacon and Krpan110), although this effect was negatively related to the frequency of eating vegetarian foods. Other studies focus more on ‘fun’ descriptions; however, ‘wacky wundermelon slushies’ were not more frequently bought than general melons, even in combination with a taste-testing(Reference Olstad, Goonewardene and McCargar111). In contrast, indulgent descriptions such as ‘slow-roasted caramelised zucchini bites’ increased both the food choice and portion serving in a university cafeteria(Reference Turnwald, Boles and Crum112). More research is thus needed to determine which types of descriptions work to encourage sustainable choices.

Other visual elements are non-descriptive; the use of curvature figures on packaging, such as circles, has been shown to increase the consumers' sensitivity for sweetness and hedonic ratings(Reference Liang, Roy and Chen113). Warm and saturated (v. less vibrantly coloured) packages are perceived as more attractive for healthy food packages because these colours are closer to the ones of general products and thus might reduce the lower hedonic associations with healthy foods(Reference Tijssen, Zandstra and de Graaf29). This might also be an appealing strategy to promote sustainable products for consumers who are less concerned with the environment, as they perceive organic products as less tasty(Reference Schuldt and Hannahan63). Food in sustainable packaging is also perceived as having better quality compared to non-sustainable packaging because of the fit between sustainable food and a higher perceived naturalness(Reference Magnier, Schoormans and Mugge114).

The way in which food is presented can also be an important predictor of food preference. Monochrome (v. coloured) pictures of food on menus have been demonstrated to be preferred and evoke a higher willingness to try the foods, and even the presentation of the food (i.e. balance) moderates this effect, such that pictures with colours and a balanced food presentation are rated as more attractive(Reference Zellner, Lankford and Ambrose115). Moreover, some research reports on the consumer belief that healthier products are less tasty(Reference Raghunathan, Naylor and Hoyer116), although some recent findings demonstrate that this belief is not shared by everyone(Reference Werle, Trendel and Ardito117,Reference Jo and Lusk118) . Hence, mimicking junk food characteristics (i.e. association with better taste) on healthy foods can help mitigate these associations. For example, seasonal fruit and vegetables presented in the format of a burger in advertising might be appreciated more because of the inferred taste associations to the junk food(Reference Bublitz and Peracchio119). Implying motion in the way food is presented in advertising enhances freshness perceptions and evaluations of the food, which is theorised to be a consequence of an evolutionary learned sensitivity to motion(Reference Gvili, Tal and Amar120). Another cue that enhances product freshness perceptions and appeal is a glossy package(Reference Meert, Pandelaere and Patrick121), which is suggested to be a result of our innate need for water(Reference Newman122).

Some visual nudges are more related to the atmosphere of the store (see Spence et al. (Reference Spence, Puccinelli and Grewal123) for a review). It is suggested that store traffic could be enhanced by putting effort into creative store windows(Reference Lange, Rosengren and Blom124). Moreover, hanging nature posters above vending machines has been found to evoke healthiness feelings and increase the sales of healthy options(Reference Stöckli, Stämpfli and Messner125). As consumers appear to link sustainability with healthiness(Reference Cho and Baskin74), future research could examine whether this intervention would also enhance the sales of sustainable food products. In-store, brighter (v. softer) lighting increased the attention time and chances of picking up the product, although it did not increase the sales of the target product(Reference Areni and Kim126). Another field experiment(Reference de Wijk, Maaskant and Kremer127) did not find any influence of light interventions in-store; it is thus questionable whether lightning could stimulate sustainable product sales.

Taste

The sampling of food can be a strong nudge in itself and is a frequently applied intervention in-store(Reference Spence, Puccinelli and Grewal123). Food sampling has positive effects on perceptions of food quality, consumer trial and long-term food sales(Reference Sprott and Shimp128,Reference Heilman, Lakishyk and Radas129) . Tastings can be especially useful for increasing the familiarity of novel sustainable products, such as tofu and soya milk, particularly among food neophobic people who have a less positive attitude towards novel foods(Reference Olstad, Goonewardene and McCargar111,Reference Raudenbush and Frank130) . Food choice can also be led by taste beliefs. A well-known example of taste beliefs is the place-of-origin cue, such as the strong association between pasta and Italy. The narrower the geographic origin (Italy v. Tuscany) is, the higher the quality associations and willingness to pay for a specialty food(Reference Stefani, Romano and Cavicchi131). This is an interesting finding for sustainable foods that are produced locally(Reference Bernard and Liu132). Moreover, this positive cue also influences sampling experiences, such that a positive region-of-origin association has shown a greater effect on taste assessments when this information is provided before (v. after) the sampling(Reference Wilcox, Roggeveen and Grewal133,Reference Biswas, Grewal and Roggeveen134) .

Audition

Music at the point-of-purchase generally has a positive impact on consumer behaviour(Reference Jain and Bagdare135,Reference Garlin and Owen136) , although its effect also depends heavily on contextual factors(Reference Garlin and Owen136). For example, the fit between the environment and the music plays a crucial role, such that French wine has been shown to sell more when French music is played(Reference North, Hargreaves and McKendrick137). Ambient music also affects cognitive perceptions; classical music has been associated with a higher expected service(Reference Stefani, Romano and Cavicchi131,Reference Baker, Grewal and Parasuraman138) and leads to more spending(Reference Areni, Kim, McAlister and Rothschild139). Not only purchase-related behaviour can be influenced by music, but also the speed of in-store traffic; a slower tempo in music has been found to literally slow down customers(Reference Garlin and Owen136) and increase sales(Reference Milliman140). One recent study(Reference Spendrup, Hunter and Isgren141) examined the relationship between nature sounds and the willingness to purchase sustainable products in a field experiment. The results showed a medium size effect for male customers that initially had a lower purchase intention for organic foods.

Haptics

Lush, a soap store with a focus on sustainability, approaches entering customers by asking if they want to try their products(Reference Spence, Puccinelli and Grewal123). Why has this been proven to be a valuable marketing strategy and are we so keen on touching products? Much of our likeability for touch is related to our personal ‘need for touch’(Reference Peck and Childers142), and consumers with a higher need for touch feel more confident about their product judgement after touch (v. not(Reference Peck and Childers143)). In general, touching a product leads to increased feelings of ownership(Reference Peck and Shu144), which makes us value the product more highly (i.e. endowment effect). Considering our innate loss aversion towards products we own, higher ownership feelings after touching sustainable products can nudge consumers into buying them(Reference de Vries, Jager and Tijssen145). However, touch can also evoke feelings of ‘disgust’, so that it is demonstrated that consumers like products less when they are touched by others (i.e. consumer contamination(Reference Argo, Dahl and Morales146)). The appeal of sustainable food also decreases if they are ‘touching’ (i.e. physically next to each other on the shelf) moderately disgusting products, such as trash bags and cat litter (i.e. product contagion(Reference Morales and Fitzsimons147)).

The importance of touch in our daily life also poses a challenge for marketers considering the novel ways in which we are buying foods. Online grocery shopping does not involve any haptics, so purchases might be different from those in a regular brick-and-mortar store. Sales data show that consumers make more healthy purchases in online compared to offline channels(Reference Huyghe, Verstraeten and Geuens148). In an additional laboratory study, the authors explain this finding by demonstrating that consumers are more tempted to purchase unhealthy items offline because of higher product vividness, while online, products are only symbolically presented. Even the way in which we buy online affects purchases, such that ‘direct touch’ via an iPad has been shown to lead to more unhealthier (v. healthier) choices than ‘indirect touch’ via the mouse of a desktop computer(Reference Shen, Zhang and Krishna149). Research is needed to determine whether sustainable sales would also be greater in purchase channels involving less touch, and if sustainable products lose to less sustainable products if both can be touched.

Olfaction

In general, although we have some difficulties with naming scents, people are masters in distinguishing different odours(Reference Buck150). Smell is the only sense that is related directly to our memory, such that the use of odours and olfactory information in marketing has been a frequently researched topic(Reference Krishna109). For example, the recall of brand attributes has shown to be higher if the product was scented v. not, and this effect was stronger for a product scent compared to an ambient scent (i.e. scents in the environment)(Reference Krishna, Lwin and Morrin151). The authors believe that this latter finding can be explained because product scent focuses on the scent-related associations of only one product (v. multiple products). Nonetheless, in general, research shows a positive effect of ambient scents on store evaluations, such that some stores even sprinkle a signature scent(Reference Bradford and Desrochers152,Reference Spangenberg, Crowley and Henderson153) . Ambient scents can evoke emotions that lead to enhanced product evaluations as long as there is a fit between the scent and the product(Reference Bosmans154). However, the effect of scent on actual food choice is less clear. Bread and cucumber odours improved mood among participants, but no effect was found on their subsequent lunch choice(Reference Mors, Polet and Vingerhoeds155). Another study(Reference de Wijk, Smeets and Polet156) also found contradictory results, such that bread was not the preferred option in the bread aroma condition (i.e. congruency between aroma and choice) but in a non-congruent aroma condition. Although research shows some tentative results for using scents to enhance the in-store experience of sustainable stores, further research is needed to determine whether scents can influence actual product choices.

Social influences

In addition to changing the food choice architecture, people can also be nudged by other consumers' behaviour(Reference Griskevicius, Tybur and Van den Bergh157). Because social desirability plays an important role in sustainable behaviour(Reference Cerri, Thøgersen and Testa158), we will extend the discussion of Cadario and Chandon(Reference Cadario and Chandon33) on ‘healthy eating calls’ by incorporating insights into different types of social influences. First, the use of social norms is a frequently applied intervention to nudge consumers towards a desired behaviour; it accompanies rules and standards that are shared by the members of the same community(Reference Cialdini, Trost, Gilbert, Fiske and Lindzey159). Social norms can be either descriptive or injunctive, such that descriptive norms describe the behaviour of people (e.g. the average household energy consumption), while injunctive norms also evaluate this information in terms of consumers' approval (e.g. adding a happy or sad smiley to indicate whether people are under or above the average energy consumption(Reference Schultz, Nolan and Cialdini160)). Authors warn that descriptive norms can backfire, for example, when people score better than the provided norm (and consequently increase their energy consumption(Reference Schultz, Nolan and Cialdini160)) or when the message implies that it is acceptable to perform harmful behaviour because many people are doing so (e.g. the majority of the people throw cigarette butts on the street(Reference Cialdini161)).

Nonetheless, these counterproductive effects can be eliminated by adding an injunctive norm to descriptive information (e.g. sad/happy smiley(Reference Schultz, Nolan and Cialdini160)). Anthropomorphic cues, attributing human characteristics (e.g. sad faces) to non-human products, have been demonstrated to evoke feelings of sympathy towards the messenger that appear to reinforce normative behaviour, so that it eventually leads to increased sustainable behaviour to favour the messenger, but only when this behaviour does not come at an extra cost(Reference Ketron and Naletelich162). Similarly, anthropomorphism can be applied to advertise wonky foods (i.e. misshapen produce). Although generally perceived as less tasty, higher purchase intentions when wonky foods are anthropomorphised show the potential of anthropomorphism as an intervention for battling food waste(Reference Cooremans and Geuens163). Other symbols, such as the use of predetermined compartments on lunch trays for vegetables and fruit, can also evoke a social norm to increase the intake of targeted products.

Another recommendation is to frame the descriptive message in a positive way (e.g. the majority of the people throw cigarette butts in the bin(Reference Elgaaied-Gambier, Monnot and Reniou164)). A recent study(Reference Cerri, Thøgersen and Testa158) shows the effectiveness of using positive descriptive norms if consumers perceive the message as credible, even when the promoted behaviour is not sustainable (i.e. avoid overpackaging) and not yet adopted by the majority of the people. Conversely, descriptive (but not injunctive) norms are better for promoting behaviour than preventing it(Reference Melnyk, van Herpen and Fischer165). The persuasiveness of the message might also play a role, such that a field experiment shows that stronger (v. weaker) norms are more effective in enhancing eco-labelled purchases(Reference Demarque, Charalambides and Hilton166). However, some studies found no effects of positive descriptive messages(Reference Momsen and Stoerk167,Reference Abrahamse and Steg168) . Overall, social norms and feedback seem to be promising nudges(Reference Rettie, Burchell and Riley169), as also identified by a meta-analysis that classifies these interventions as having one of the greater effect sizes among interventions in promoting sustainable behaviour(Reference Osbaldiston and Schott170).

Another promising intervention indicated by this meta-analysis(Reference Osbaldiston and Schott170) is verbal prompting. A recent field study(Reference Kristensson, Wästlund and Söderlund171) applied a diverse set of verbal prompts, such as questioning whether customers would buy non-environmental or environmentally friendly bananas (cf. question-behaviour effect(Reference Sprott, Spangenberg and Block172)), and approaching customers with the assumption that they seem interested in buying eco-labelled products. All verbal prompts increased sustainable choices compared with the baseline sales. In a self-service restaurant, more healthy side dishes were bought when customers were verbally prompted, while customers indicated feeling no buying pressure(Reference van Kleef, van den Broek and van Trijp173). Signalling towards other people appears to be very important; sustainable purchases can be increased by verbal prompting in the presence of other store-employees(Reference Kristensson, Wästlund and Söderlund171). Indeed, pro-environmental behaviour shows some links with status signalling(Reference Puska, Kurki and Lähdesmäki174), such that a status motive has been demonstrated to lead to more sustainable purchases(Reference Griskevicius, Tybur and Van den Bergh157,Reference Puska, Kurki and Lähdesmäki174) . In fact, some evidence(Reference Hartmann, Ruby and Schmidt175) shows that the signal works in that vegetarian and meat alternative (e.g. insect-based burger) eaters are perceived as being more environmentally friendly and even more brave and interesting compared to meat eaters.

When eating in a social environment, people are also affected by the food choice and intake of others and adapt these according to the group, as demonstrated in a meta-analysis(Reference Robinson, Thomas and Aveyard176). Field data from a restaurant show that people tend to seek variety in their individual dishes but not in the menu category(Reference Ellison177). This is an interesting finding to nudge sustainable food choices; perhaps if someone orders vegetarian food, the others might follow with dishes within the vegetarian food category. Promoting vegetarian foods by framing them as the ‘recommendation of the chef’ is also a way to prompt vegetarian food choices among infrequent eaters of vegetarian food(Reference Bacon and Krpan110).

Social influences even go beyond written and verbal interactions with people. For example, consumers attach some social beliefs to the positioning of products in-store, such that products in-between two products of the same category are believed to be more popular because of the middle position, which functions as a positive cue leading to higher purchases(Reference Valenzuela and Raghubir178,Reference Missbach and König179) . If consumers do not have strong preferences for products, the scarcity of products on shelves might also function as a popularity cue that affects consumer choices(Reference Parker and Lehmann180). Lastly, in view of the many ways in which social influences affect sustainable purchases, note that social desirability biases in the survey and experimental research on sustainability should always be taken into account(Reference Cerri, Thøgersen and Testa158).

Behaviourally oriented interventions

Convenience enhancements

To make sustainable food choices more attractive, they should be convenient and easy to access, while the required effort for buying less sustainable products is preferably larger. Studies on choice architecture show that accessibility enhancements, for example, placing fruit and vegetables at the beginning of the buffet increase the self-serving portions of these target products(Reference Kongsbak, Skov and Nielsen181). Moreover, the increase in fruit and vegetables was not compensated for by other meal components; the increase substituted servings of other meal components. Another study in a cafeteria setting(Reference Rozin, Scott and Dingley182) changed the order of foods so that energy-dense products were less accessible to favour the sales of low-energy foods. However, no effects were observed by placing wholegrain bread in a more convenient place(Reference de Wijk, Maaskant and Polet183). Placing products on a lower v. higher shelf also did not affect the sales of healthier snacks(Reference van Kleef, Otten and van Trijp99). Perhaps, the effectiveness of product accessibility as a nudge depends on the type of product to which the nudge is applied. For example, a field experiment was not able to generate greater sales of unfamiliar vegetables by increasing their accessibility(Reference Broers, Van den Broucke and Taverne184).

A concept that is closely related to accessibility is proximity. In a trade-off between healthy (i.e. apples) and non-healthy options (i.e. popcorn) that are manipulated in terms of distance (within-reach v. 2 m away), researchers found higher consumption of the food that is positioned closer(Reference Privitera and Zuraikat185). Putting a bowl of M&Ms at 20, 70 and 140 cm decreased intake with increasing distance(Reference Maas, de Ridder and de Vet186). At work, it is shown that fewer snacks are purchased if the vending machine is placed further from the office desks(Reference Baskin, Gorlin and Chance187). Even small required efforts, such as when potato chips are located in a distant snack bar v. at the cash register, have been found to discourage unhealthy choices(Reference Meiselman, Hedderley and Staddon188). Notably, no main effects were found on the proximity (20 v. 70 cm) or snack type when simultaneously presenting a bowl of chocolates and fruit(Reference Knowles, Brown and Aldrovandi189). Rather, a relative proximity effect was observed, such that higher consumption of fruit was only obtained when the chocolate bowl was placed further (v. closer).

A typically employed and effective nudging strategy is to present the consumer with a ‘default option’, in which consumers are presented with a pre-determined item as a first or more prominent choice, thus requiring less effortful analytical decision making on the part of the consumer(Reference Goldstein, Johnson and Herrmann190). Defaults can also be used in food research; research shows that parents select healthier breakfast options for their children when they are readily available (v. only available on request)(Reference Loeb, Radnitz and Keller191). Another study shows that healthier whole wheat (v. white) bread was more often selected when it was the default option for ordering a sandwich(Reference van Kleef, Seijdell and Vingerhoeds192). Further evidence can be found in a restaurant setting(Reference Bergeron, Doyon and Saulais193), where healthier choices were ordered more when presented as the default option on the menu. Overall, these studies suggest the potential to increase sustainable food choices by making them the default option. Note that nudging theory does not support choice restriction(Reference Lombardini and Lankoski194).

Convenience can also be related to the way in which food products are offered. For example, self-servings are found to be lower when customers have to take the food with a pair of tongs v. a spoon(Reference Rozin, Scott and Dingley182). Other research shows that servings from squeeze tubes (v. regular jars) are more easy to monitor by consumers(Reference Huyghe, Geuens and Vermeir195), and that people eat less from resealable (v. non-resealable) packages because they have to re-open them(Reference De Bondt, Van Kerckhove and Geuens196), which might be interesting findings in the case of less healthy content. Findings are less clear on preparing foods so that they are easier to eat; pre-sliced fruit was perceived as less attractive in terms of sensory and packaging characteristics(Reference von Germeten and Hirsch197). Supermarkets are also increasingly offering bundles of food (e.g. all ingredients for a dish in one box). A recent study shows that this might be a promising nudge to counter the effect that people choose less healthy options when they are cognitively loaded as a result of the mental process of planning and sourcing individual ingredients(Reference Carroll, Samek and Zepeda198). Food bundles simplify shopping choices so that customers under cognitive load have been found to more frequently choose food bundles, although only if the food bundles are non-discounted (v. discounted). Packages of sustainable food products might thus be an appealing nudge in making sustainability more convenient.

Size enhancements

Portion size interventions might be especially interesting in decreasing the sales volume for products of which its production has a high impact on the environment, such as meat(Reference Steenhuis, Leeuwis and Vermeer199). Research has extensively demonstrated that portion sizes and intake are also positively related (i.e. portion size effect(Reference Zlatevska, Dubelaar and Holden200,Reference Hollands, Shemilt and Marteau201) ) so that smaller portion sizes also decrease consumption. Verbal prompting by asking customers in a restaurant whether they want to downsize their portion successfully increased the number of smaller portions by one-third, while no compensation behaviour (i.e. higher energetic side dishes or drinks) was observed(Reference Schwartz, Riis and Elbel202). Another way to encourage smaller portions is offering them next to default larger portion sizes, which significantly nudged customers in a cafeteria to switch from a larger to a smaller portion size(Reference Vermeer, Steenhuis and Leeuwis30). A field experiment(Reference Vandenbroele, Slabbinck and Van Kerckhove203) found that adding two smaller portions of meat sausage units next to the default portion size unobtrusively encouraged customers to buy smaller units. During a 1-month intervention period, more than half the units sold (52 %) were smaller portions than the default larger portion size, which established a decrease in meat volume of 13 % if all units sold would have been the default size. Portion sizes can also be adapted to promote sales volume and intake, and increasing the portion sizes of vegetables and fruit led to a greater intake among children(Reference Miller, Reicks and Redden204). Nonetheless, the effects of changes in portion sizes on food choices and consumption should be carefully examined. Authors warn of the possible backfire effects that (multiple) smaller portions would eventually lead to higher consumption, and that smaller portions (compared to larger ones) are less likely to activate a self-control conflict that leads to careful monitoring of consumption(Reference do Vale, Pieters and Zeelenberg205).

Portion size judgement is also heavily influenced by our perception. For example, the same portion size has been found to be perceived as being larger when presented horizontal (v. vertical) on a plate(Reference Rowley and Spence206). Moreover, consumers perceive food portions placed centrally on a plate (v. slightly offset) as larger. In addition to the way food is presented on a plate, plate size also affects perceptions, so that consumers have been demonstrated to eat more from larger plates(Reference Hollands, Shemilt and Marteau201). Nonetheless, other studies found no effect of plate size on consumption(Reference Rolls, Roe and Halverson207), and larger plate sizes might also lead to a greater intake of vegetables(Reference Libotte, Siegrist and Bucher208). Considering consumers' preference for middle options(Reference Valenzuela and Raghubir178), size labels might trigger people to always go for the in-between-option, regardless of its portion size. Moreover, people report to feel less guilty when consuming a larger portion of hedonic food if it is labelled as ‘small’(Reference Aydinoğlu and Krishna209). Nonetheless, the authors also found that consumers are not ‘fooled’ by smaller items carrying a ‘large’ label.

Conclusion

In 2017, the Nobel Prize for Economics was awarded to Thaler for his work on behavioural economics(Reference Thaler20). Inspired by his theory on nudging, which was co-created with Cass. S. Sunstein, many researchers are currently looking at how we can apply nudging principles for societal outcomes, such as improved healthiness and safety of people, and nature preservation. This review aimed to provide a non-exhaustive overview of nudging and sustainable food choices and highlights the different areas where more research is needed. In summary, our review has demonstrated the potential of nudging to be a valuable technique in encouraging environmentally friendly purchases. Nonetheless, not all studies were able to obtain significantly beneficial results from only changing the choice architecture. Personal predispositions towards sustainable consumption cannot be overlooked in designing nudges, demonstrating the complementarity of nudging research with educational interventions. The vast majority of the studies were conducted in Western and highly developed societies. Less is known about the effectiveness of nudges in other cultures. Interventions should also be carefully designed, taking cognitive processes(Reference Szaszi, Palinkas and Palfi210) and the conditions of the environment into account (see Meder et al. (Reference Meder, Fleischhut and Osman211)). Moreover, as many nudging studies have focused on short-term interventions, it is still unclear whether nudging will work in the long term. Nudging and its libertarian paternalism view have also been criticised for its use of defaults(Reference Smith, Goldstein and Johnson212) and other ethical criteria (see Rebonato(Reference Rebonato213) for an overview). We also call for more multidisciplinary research so that behavioural scientists focus their research on the topics that may yield the highest ecological return. It is our hope that this review can inspire researchers to tackle these challenges and contribute to further research on nudging and sustainability.

Acknowledgements

None.

Financial Support

J. V. received grants from the Special Research Fund of Ghent University (BOFDOC2016001601) and the National Bank of Belgium (BOFDOC20160016C1).

Conflicts of Interest

None.

Authorship

J. V. drafted the manuscript. I. V., M. G., H. S. and A. K. V. revised the manuscript. All the authors have read and approved the final manuscript.

References

1.Gerber, P, Steinfeld, H, Henderson, B et al. (2013) Tackling Climate Change through Livestock – A Global Assessment of Emissions and Mitigation Opportunities. Rome: Food and Agriculture Organization of the United Nations.Google Scholar
2.Girod, B, van Vuuren, DP & Hertwich, EG (2014) Climate policy through changing consumption choices: options and obstacles for reducing greenhouse gas emissions. Glob Environ Change 25, 515.CrossRefGoogle Scholar
3.Hilton-Taylor, C (2000) IUCN Red List of Threatened Species. Gland, Switzerland: World Conserv. Union.Google Scholar
4.Ivanova, D, Stadler, K, Steen-Olsen, K et al. (2016) Environmental impact assessment of household consumption. J Ind Ecol 20, 526536.CrossRefGoogle Scholar
5.McMichael, AJ, Powles, JW, Butler, CD et al. (2007) Food, livestock production, energy, climate change, and health. Lancet 370, 12531263.CrossRefGoogle ScholarPubMed
6.Jones, P, Hillier, D & Comfort, D (2011) Shopping for tomorrow: promoting sustainable consumption within food stores. Br Food J 113, 935948.CrossRefGoogle Scholar
7.Peattie, K (2010) Green consumption: behavior and norms. Annu Rev Environ Resour 35, 195228.CrossRefGoogle Scholar
8.Dawson, J (2013) Retailer activity in shaping food choice. Food Qual Prefer 28, 339347.CrossRefGoogle Scholar
9.Lehner, M (2015) Translating sustainability: the role of the retail store. Int J Retail Distrib Manage 43, 386402.CrossRefGoogle Scholar
10.Stehfest, E, Bouwman, L, van Vuren, D et al. (2009) Climate benefits of changing diet. Clim Change 95, 83102.CrossRefGoogle Scholar
11.Baker, S (1996) Sustainable development and consumption: the ambiguities – the Oslo ministerial roundtable conference on sustainable production and consumption, Oslo, 6–10 February 1995. Env Politics 5, 9399.CrossRefGoogle Scholar
12.Meybeck, A & Gitz, V (2017) Sustainable diets within sustainable food systems. Proc Nutr Soc 76, 111.CrossRefGoogle ScholarPubMed
13.de Boer, J & Aiking, H (2019) Strategies towards healthy and sustainable protein consumption: a transition framework at the levels of diets, dishes, and dish ingredients. Food Qual Prefer 73, 171181.CrossRefGoogle Scholar
14.O'Mara, FP (2011) The significance of livestock as a contributor to global greenhouse gas emissions today and in the near future. Anim Feed Sci Technol 166–167, 715.CrossRefGoogle Scholar
15.Carlsson-Kanyama, A & González, AD (2009) Potential contributions of food consumption patterns to climate change. Am J Clin Nutr 89, 1704S1709S.CrossRefGoogle ScholarPubMed
16.Weber, CL & Matthews, HS (2008) Food-miles and the relative climate impacts of food choices in the United States. Environ Sci Technol 42, 35083513.CrossRefGoogle ScholarPubMed
17.Thaler, RH & Sunstein, CR (2008) Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven: Yale University Press.Google Scholar
18.Benartzi, S, Beshears, J, Milkman, KL et al. (2017) Should governments invest more in nudging? Psychol Sci 28, 10411055.CrossRefGoogle ScholarPubMed
19.Sunstein, CR (2018) ‘Better off, as judged by themselves’: a comment on evaluating nudges. Int Rev Econ 65, 18.CrossRefGoogle Scholar
20.Thaler, RH (2018) From cashews to nudges: the evolution of behavioral economics. Am Econ Rev 108, 12651287.CrossRefGoogle Scholar
21.Guthrie, J, Mancino, L & Lin, CJ (2015) Nudging consumers toward better food choices: Policy approaches to changing food consumption behavior. Psy and Mark 32, 501511.CrossRefGoogle Scholar
22.Andrews, JC, Netemeyer, RG & Burton, S (2009) The nutrition elite: do only the highest levels of caloric knowledge, obesity knowledge, and motivation matter in processing nutrition ad claims and disclosures? J Public Policy Mark 28, 4155.CrossRefGoogle Scholar
23.Wansink, B & Sobal, J (2007) Mindless eating: the 200 daily food decision we overlook. Env Behavior 39, 106123.CrossRefGoogle Scholar
24.Evans, JSBT (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 59, 255278.CrossRefGoogle ScholarPubMed
25.Kahneman, D & Frederick, S (2002) Representativeness revisited: attribute substitution in intuitive judgment. In Heuristics and Biases: The Psychology of Intuitive Judgment, pp. 4981 [Gilovich, T, Griffin, D and Kahneman, D, editors]. New York: Cambridge University Press.CrossRefGoogle Scholar
26.Vermeir, I & Verbeke, W (2006) Sustainable food consumption: exploring the consumer ‘attitude – behavioral intention’ gap. J Agric Environ Ethics 19, 169194.CrossRefGoogle Scholar
27.Bucher, T, Collins, C, Rollo, ME et al. (2016) Nudging consumers towards healthier choices: a systematic review of positional influences on food choice. Br J Nutr 115, 22522263.CrossRefGoogle ScholarPubMed
28.Wilson, AL, Buckley, E, Buckley, JD et al. (2016) Nudging healthier food and beverage choices through salience and priming. Evidence from a systematic review. Food Qual Prefer 51, 4764.CrossRefGoogle Scholar
29.Tijssen, I, Zandstra, EH, de Graaf, C et al. (2017) Why a ‘light’ product package should not be light blue: effects of package colour on perceived healthiness and attractiveness of sugar- and fat-reduced products. Food Qual Prefer 59, 4658.CrossRefGoogle Scholar
30.Vermeer, WM, Steenhuis, IHM, Leeuwis, FH et al. (2011) Small portion sizes in worksite cafeterias: do they help consumers to reduce their food intake? Int J Obes 35, 12001207.CrossRefGoogle ScholarPubMed
31.Brambila-Macias, J, Shankar, B, Capacci, S et al. (2011) Policy interventions to promote healthy eating: a review of what works, what does not, and what is promising. Food Nutr Bull 32, 365375.CrossRefGoogle ScholarPubMed
32.Vermeer, WM, Steenhuis, IHM & Seidell, JC (2010) Portion size: a qualitative study of consumers’ attitudes toward point-of-purchase interventions aimed at portion size. Health Educ Res 25, 109120.CrossRefGoogle ScholarPubMed
33.Cadario, R & Chandon, P (2019) Which healthy eating nudges work best? A meta-analysis of field experiments. Mark Sci (In the Press).CrossRefGoogle Scholar
34.Costanigro, M, Kroll, S, Thilmany, D et al. (2014) Is it love for local/organic or hate for conventional? Asymmetric effects of information and taste on label preferences in an experimental auction. Food Qual Prefer 31, 94105.CrossRefGoogle Scholar
35.Cowburn, G & Stockley, L (2005) Consumer understanding and use of nutrition labelling: a systematic review. Public Health Nutr 8, 2128.CrossRefGoogle ScholarPubMed
36.Gruère, GP (2013) A characterisation of environmental labelling and information schemes. J Consum Policy 62, 142.Google Scholar
37.Feldmann, C & Hamm, U (2015) Consumers’ perceptions and preferences for local food: a review. Food Qual Prefer 40, 152164.CrossRefGoogle Scholar
38.Telligman, AL, Worosz, MR & Bratcher, CL (2017) ‘Local’ as an indicator of beef quality: an exploratory study of rural consumers in the southern U.S. Food Qual Prefer 57, 4153.CrossRefGoogle Scholar
39.Poelman, A, Mojet, J, Lyon, D et al. (2008) The influence of information about organic production and fair trade on preferences for and perception of pineapple. Food Qual Prefer 19, 114121.CrossRefGoogle Scholar
40.Songa, G, Slabbinck, H, Vermeir, I et al. (2019) How do implicit/explicit attitudes and emotional reactions to sustainable logo relate? A neurophysiological study. Food Qual Prefer 71, 485496.CrossRefGoogle Scholar
41.Hartmann, C, Hieke, S, Taper, C et al. (2018) European consumer healthiness evaluation of ‘free-from’ labelled food products. Food Qual Prefer 68, 377388.CrossRefGoogle Scholar
42.Milosavljevic, M, Navalpakkam, V, Koch, C et al. (2012) Relative visual saliency differences induce sizable bias in consumer choice. J Consum Psy 22, 6774.CrossRefGoogle Scholar
43.Newell, RG & Siikammki, J (2013) Nudging energy efficiency behavior: role of information labels. J Assoc Environ Resour Econ 1, 555598.Google Scholar
44.Kallbekken, S, Saelen, H & Hermansen, EAT (2013) Bridging the energy efficiency gap: a field experiment on lifetime energy costs and household appliances. J Consum Policy 36, 116.CrossRefGoogle Scholar
45.Slabbinck, H, Vandenbroele, J, Van Kerckhove, A et al. (2016) Het Duwtje in de Juiste Richting: Hoe de Vlaamse Consument Begeleiden Naar een Milieuverantwoord Consumptiepatroon. Brussels: Ghent University Press.Google Scholar
46.Rainforest Alliance (2019) Our impacts – measurable benefits for forests, farmers and communities. https://www.rainforest-alliance.org/impact (accessed January 2019).Google Scholar
47.Fair Trade Belgium (2019) De basisprincipes van Fairtrade. https://www.fairtraidebelgium.be/eerlijke-handel/de-basisprincipes-van-fairtrade/ (accessed January 2019).Google Scholar
48.Sörqvist, P, Haga, A, Langeborg, L et al. (2015) The green halo: mechanisms and limits of the eco-label effect. Food Qual Prefer 43, 19.CrossRefGoogle Scholar
49.Wiedmann, K-P, Hennigs, N, Behrens, SH et al. (2014) Tasting green: an experimental design for investigating consumer perception of organic wine. Br Food J 116, 197211.CrossRefGoogle Scholar
50.Lee, H & Yun, Z (2015) Consumers’ perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food. Food Qual Prefer 39, 259267.CrossRefGoogle Scholar
51.Schneider, CR, Zaval, L, Weber, EU et al. (2017) The influence of anticipated pride and guilt on pro-environmental decision making. PLoS ONE 12, e0188781.CrossRefGoogle ScholarPubMed
52.Antonetti, P & Maklan, S (2014) Feelings that make a difference: how guilt and pride convince consumers of the effectiveness of sustainable consumption choices. J Bus Ethics 124, 117134.CrossRefGoogle Scholar
53.Rees, JH, Klug, S & Bamberg, S (2015) Guilty conscience: motivating pro-environmental behavior by inducing negative moral emotions. Clim Change 130, 439452.CrossRefGoogle Scholar
54.Lu, H & Schuldt, JP (2015) Exploring the role of incidental emotions in support for climate change policy. Clim Change 131, 719726.CrossRefGoogle Scholar
55.Verain, MCD, Sijtsema, SJ & Antonides, G (2016) Consumer segmentation based on food-category attribute importance: the relation with healthiness and sustainability perceptions. Food Qual Prefer 48, 99106.CrossRefGoogle Scholar
56.Kwon, W-S, Englis, B & Mann, M (2016) Are third-party green–brown ratings believed?: The role of prior brand loyalty and environmental concern. J Bus Res 69, 815822.CrossRefGoogle Scholar
57.Van Doorn, J & Verhoef, PC (2015) Drivers of and barriers to organic purchase behavior. J Retail 91, 436450.CrossRefGoogle Scholar
58.Piqueras-Fiszman, B & Spence, C (2015) Sensory expectations based on product-extrinsic food cues: an interdisciplinary review of the empirical evidence and theoretical accounts. Food Qual Prefer 40, 165179.CrossRefGoogle Scholar
59.Van Loo, EJ, Caputo, V, Nayga, RM et al. (2015) Sustainability labels on coffee: consumer preferences, willingness-to-pay and visual attention to attributes. Ecol Econ 118, 215225.CrossRefGoogle Scholar
60.Janssen, M & Hamm, U (2012) Product labelling in the market for organic food: consumer preferences and willingness-to-pay for different organic certification logos. Food Qual Prefer 25, 922.CrossRefGoogle Scholar
61.Samant, SS & Seo, H-S (2016) Effects of label understanding level on consumers’ visual attention toward sustainability and process-related label claims found on chicken meat products. Food Qual Prefer 50, 4856.CrossRefGoogle Scholar
62.Samant, SS & Seo, H-S (2016) Quality perception and acceptability of chicken breast meat labeled with sustainability claims vary as a function of consumers’ label-understanding level. Food Qual Prefer 49, 151160.CrossRefGoogle Scholar
63.Schuldt, JP & Hannahan, M (2013) When good deeds leave a bad taste. Negative inferences from ethical food claims. Appetite 62, 7683.CrossRefGoogle ScholarPubMed
64.Lee, W-CJ, Shimizu, M, Kniffin, KM et al. (2013) You taste what you see: do organic labels bias taste perceptions? Food Qual Prefer 29, 3339.CrossRefGoogle Scholar
65.Gorissen, K & Weijters, B (2016) The negative footprint illusion: perceptual bias in sustainable food consumption. J Environ Psychol 45, 5065.CrossRefGoogle Scholar
66.Pierrot, J, Giovannucci, D & Kasterine, A (2011) From Bean to Cup: How Consumer Choice Impacts on Coffee Producers and the Environment. Geneva: International Trade Centre.Google Scholar
67.Gadema, Z & Oglethorpe, D (2011) The use and usefulness of carbon labelling food: a policy perspective from a survey of UK supermarket shoppers. Food Policy 36, 815822.CrossRefGoogle Scholar
68.Van Loo, EJ, Caputo, V, Nayga, RM et al. (2014) Consumers’ valuation of sustainability labels on meat. Food Policy 49, 137150.CrossRefGoogle Scholar
69.Grunert, KG, Hieke, S & Wills, J (2014) Sustainability labels on food products: consumer motivation, understanding and use. Food Policy 44, 177189.CrossRefGoogle Scholar
70.European Food Information Council (2015) Global Update on Nutrition Labeling. Brussels: European Food Information Council.Google Scholar
71.Sutherland, L, Kaley, L & Fischer, L (2010) Guiding stars: the effect of a nutrition navigation program on consumer purchases at the supermarket. Am J Clin Nutr 91, 1090S1094S.CrossRefGoogle ScholarPubMed
72.Rosi, A, Zerbini, C, Pellegrini, N et al. (2017) How to improve food choices through vending machines: the importance of healthy food availability and consumers’ awareness. Food Qual Prefer 62, 262269.CrossRefGoogle Scholar
73.Cioffi, CE, Levitsky, DA, Pacanowski, CR et al. (2015) A nudge in a healthy direction. The effect of nutrition labels on food purchasing behaviors in university dining facilities. Appetite 92, 714.CrossRefGoogle Scholar
74.Cho, Y-N & Baskin, E (2018) It's a match when green meets healthy in sustainability labeling. J Bus Res 86, 119129.CrossRefGoogle Scholar
75.Hallström, E, Davis, J, Woodhouse, A et al. (2018) Using dietary quality scores to assess sustainability of food products and human diets: a systematic review. Ecol Indic 93, 219230.CrossRefGoogle Scholar
76.Heller, MC, Keoleian, GA & Willett, WC (2013) Toward a life cycle-based, diet-level framework for food environmental impact and nutritional quality assessment: a critical review. Environ Sci Technol 47, 1263212647.CrossRefGoogle Scholar
77.Vanclay, JK, Shortiss, J, Aulsebrook, S et al. (2011) Customer response to carbon labelling of groceries. J Consum Policy 34, 153160.CrossRefGoogle Scholar
78.Genschow, O, Reutner, L & Wänke, M (2012) The color red reduces snack food and soft drink intake. Appetite 58, 699702.CrossRefGoogle ScholarPubMed
79.Thorndike, AN, Sonnenberg, L, Riis, J et al. (2012) A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices. Am J Public Health 102, 527533.CrossRefGoogle ScholarPubMed
80.Olstad, DL, Vermeer, J, McCargar, LJ et al. (2015) Using traffic light labels to improve food selection in recreation and sport facility eating environments. Appetite 91, 329335.CrossRefGoogle ScholarPubMed
81.Thorndike, AN, Riis, J, Sonnenberg, LM et al. (2014) Traffic-light labels and choice architecture: promoting healthy food choices. Am J Prev Med 46, 143149.CrossRefGoogle ScholarPubMed
82.Aschemann-Witzel, J, Grunert, KG, van Trijp, HC et al. (2013) Effects of nutrition label format and product assortment on the healthfulness of food choice. Appetite 71, 6374.CrossRefGoogle ScholarPubMed
83.Scarborough, P, Matthews, A, Eyles, H et al. (2015) Reds are more important than greens: how UK supermarket shoppers use the different information on a traffic light nutrition label in a choice experiment. Int J Behav Nutr Phys Act 12, 19.CrossRefGoogle Scholar
84.Baumeister, RF, Bratslavsky, E, Finkenauer, C et al. (2001) Bad is stronger than good. Rev Gen 5, 323370.Google Scholar
85.Reutner, L, Genschow, O & Wänke, M (2015) The adaptive eater: perceived healthiness moderates the effect of the color red on consumption. Food Qual Prefer 44, 172178.CrossRefGoogle Scholar
86.Hoefkens, C, Lachat, C, Kolsteren, P et al. (2011) Posting point-of-purchase nutrition information in university canteens does not influence meal choice and nutrient intake. Am J Clin Nutr 94, 562570.CrossRefGoogle Scholar
87.Chandon, P & Wansink, B (2007) The biasing health halos of fast-food restaurant health claims: lower calorie estimates and higher side-dish consumption intentions. J Consum Res 34, 301314.CrossRefGoogle Scholar
88.Wansink, B & Chandon, P (2006) Can “low-fat” nutrition labels lead to obesity? J Mark Res 43, 605617.CrossRefGoogle Scholar
89.Armel, KC, Beaumel, A & Rangel, A (2008) Biasing simple choices by manipulating relative visual attention. Judgm Decis Mak 3, 396403.Google Scholar
90.Glanz, K, Karpyn, A, Wojtanowski, AC et al. (2014) Placement and promotion strategies to increase sales of healthier products in supermarkets in low-income, ethnically diverse neighborhoods: a randomized controlled trial. Am J Clin Nutr 99, 13591368.Google Scholar
91.Gamburzew, A, Darcel, N, Gazan, R et al. (2016) In-store marketing of inexpensive foods with good nutritional quality in disadvantaged neighborhoods: increased awareness, understanding, and purchasing. Int J Behav Nutr Phys Act 13, 104.CrossRefGoogle ScholarPubMed
92.Keller, C, Markert, F & Bucher, T (2015) Nudging product choices: the effect of position change on snack bar choice. Food Qual Prefer 41, 4143.CrossRefGoogle Scholar
93.Kroese, FM, Marchiori, DR & de Ridder, DTD (2016) Nudging healthy food choices: a field experiment at the train station. J Public Health 38, e133e137.CrossRefGoogle ScholarPubMed
94.Dayan, E & Bar-Hillel, M (2011) Nudge to nobesity II: menu positions influence food orders – ProQuest. Judgm Decis Mak 6, 333342.Google Scholar
95.Policastro, P, Smith, Z & Chapman, G (2017) Put the healthy item first: order of ingredient listing influences consumer selection. J Health Psychol 22, 853863.CrossRefGoogle ScholarPubMed
96.Kurz, V (2018) Nudging to reduce meat consumption: immediate and persistent effects of an intervention at a university restaurant. J Environ Econ Manage 90, 317341.CrossRefGoogle Scholar
97.Sadler, MJ (2004) Meat alternatives – market developments and health benefits. Trends Food Sci Technol 15, 250260.CrossRefGoogle Scholar
98.Schösler, H, Boer, JD & Boersema, JJ (2012) Can we cut out the meat of the dish? Constructing consumer-oriented pathways towards meat substitution. Appetite 58, 3947.CrossRefGoogle ScholarPubMed
99.van Kleef, E, Otten, K & van Trijp, HCM (2012) Healthy snacks at the checkout counter: a lab and field study on the impact of shelf arrangement and assortment structure on consumer choices. BMC Public Health 12, 1072.CrossRefGoogle Scholar
100.Pechey, R, Cartwright, E, Pilling, M et al. (2018) Impact of increasing the proportion of healthier foods available on energy purchased in worksite cafeterias: a stepped wedge randomized controlled pilot trial. Appetite 133, 286296.CrossRefGoogle ScholarPubMed
101.van Herpen, E & Bosmans, A (2018) Arranging the assortment to arouse choice: effects of goal-relevant assortment organization on food choice and variety perceptions. Food Qual Prefer 64, 192204.CrossRefGoogle Scholar
102.Gravely, E & Fraser, E (2018) Transitions on the shopping floor: investigating the role of Canadian supermarkets in alternative protein consumption. Appetite 130, 146156.CrossRefGoogle ScholarPubMed
103.Vandenbroele, J, Slabbinck, H, Van Kerckhove, A et al. (2018) Mock meat in the butchery: nudging consumers toward meat substitutes. Conference paper in Eighth European Conference on Sensory and Consumer Research. Verona: European Sensory Science Society.CrossRefGoogle Scholar
104.Adise, S, Gavdanovich, I & Zellner, DA (2015) Looks like chicken: exploring the law of similarity in evaluation of foods of animal origin and their vegan substitutes. Food Qual Prefer 41, 5259.CrossRefGoogle Scholar
105.Hoek, AC, Luning, PA, Weijzen, P et al. (2011) Replacement of meat by meat substitutes. A survey on person- and product-related factors in consumer acceptance. Appetite 56, 662673.CrossRefGoogle ScholarPubMed
106.Hoek, AC, Pearson, D, James, SW et al. (2017) Healthy and environmentally sustainable food choices: consumer responses to point-of-purchase actions. Food Qual Prefer 58, 94106.CrossRefGoogle Scholar
107.van Herpen, E, Fischer, ARH & van Trijp, HCM (2015) How to position ‘mildly sustainable’ products: the joint impact of assortment display and price setting. Food Qual Prefer 46, 2632.CrossRefGoogle Scholar
108.Chandon, P, Hutchinson, JW, Young, SH et al. (2009) Does in-store marketing work? Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase. J Mark 73, 117.CrossRefGoogle Scholar
109.Krishna, A (2012) An integrative review of sensory marketing: engaging the senses to affect perception, judgment and behavior. J Consum Psychol 22, 332351.CrossRefGoogle Scholar
110.Bacon, L & Krpan, D (2018) (Not) Eating for the environment: the impact of restaurant menu design on vegetarian food choice. Appetite 125, 190200.CrossRefGoogle ScholarPubMed
111.Olstad, D, Goonewardene, LA, McCargar, LJ et al. (2014) Choosing healthier foods in recreational sports settings: a mixed methods investigation of the impact of nudging and an economic incentive. Int J Behav Nutr Phys Act 11, 6.CrossRefGoogle Scholar
112.Turnwald, BP, Boles, DZ & Crum, AJ (2017) Association between indulgent descriptions and vegetable consumption: twisted carrots and dynamite beets. JAMA Intern Med 177, 12161218.CrossRefGoogle ScholarPubMed
113.Liang, P, Roy, S, Chen, M-L et al. (2013) Visual influence of shapes and semantic familiarity on human sweet sensitivity. Behav Brain Res 253, 4247.CrossRefGoogle ScholarPubMed
114.Magnier, L, Schoormans, J & Mugge, R (2016) Judging a product by its cover: packaging sustainability and perceptions of quality in food products. Food Qual Prefer 53, 132142.CrossRefGoogle Scholar
115.Zellner, DA, Lankford, M, Ambrose, L et al. (2010) Art on the plate: effect of balance and color on attractiveness of, willingness to try and liking for food. Food Qual Prefer 21, 575578.CrossRefGoogle Scholar
116.Raghunathan, R, Naylor, RW & Hoyer, WD (2006) The unhealthy = tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. J Mark 70, 170184.CrossRefGoogle Scholar
117.Werle, COC, Trendel, O & Ardito, G (2013) Unhealthy food is not tastier for everybody: the ‘healthy = tasty’ French intuition. Food Qual Prefer 28, 116121.CrossRefGoogle Scholar
118.Jo, J & Lusk, JL (2018) If it's healthy, it's tasty and expensive: effects of nutritional labels on price and taste expectations. Food Qual Prefer 68, 332341.CrossRefGoogle Scholar
119.Bublitz, MG & Peracchio, LA (2015) Applying industry practices to promote healthy foods: an exploration of positive marketing outcomes. J Bus Res 68, 24842493.CrossRefGoogle Scholar
120.Gvili, Y, Tal, A, Amar, M et al. (2015) Fresh from the tree: implied motion improves food evaluation. Food Qual Prefer 46, 160165.CrossRefGoogle Scholar
121.Meert, K, Pandelaere, M & Patrick, VM (2014) Taking a shine to it: how the preference for glossy stems from an innate need for water. J Consum Psychol 24, 195206.CrossRefGoogle Scholar
122.Newman, RW (1970) Why man is such a sweaty and thirsty naked animal: a speculative review. Hum Biol 42, 1227.Google Scholar
123.Spence, C, Puccinelli, NM, Grewal, D et al. (2014) Store atmospherics: a multisensory perspective. Psychol Mark 31, 472488.CrossRefGoogle Scholar
124.Lange, F, Rosengren, S & Blom, A (2016) Store-window creativity's impact on shopper behavior. J Bus Res 69, 10141021.CrossRefGoogle Scholar
125.Stöckli, S, Stämpfli, AE, Messner, C et al. (2016) An (un)healthy poster: when environmental cues affect consumers’ food choices at vending machines. Appetite 96, 368374.CrossRefGoogle Scholar
126.Areni, CS & Kim, D (1994) The influence of in-store lighting on consumers’ examination of merchandise in a wine store. Int J Res Mark 11, 117125.CrossRefGoogle Scholar
127.de Wijk, RA, Maaskant, AM, Kremer, S et al. (2018) Supermarket shopper movements versus sales and the effects of scent, light, and sound. Food Qual Prefer 70, 3239.CrossRefGoogle Scholar
128.Sprott, DE & Shimp, TA (2004) Using product sampling to augment the perceived quality of store brands. J Retail 80, 305315.CrossRefGoogle Scholar
129.Heilman, C, Lakishyk, K & Radas, S (2011) An empirical investigation of in-store sampling promotions. Br Food J 113, 12521266.CrossRefGoogle Scholar
130.Raudenbush, B & Frank, RA (1999) Assessing food neophobia: the role of stimulus familiarity. Appetite 32, 261271.CrossRefGoogle ScholarPubMed
131.Stefani, G, Romano, D & Cavicchi, A (2006) Consumer expectations, liking and willingness to pay for specialty foods: do sensory characteristics tell the whole story? Food Qual Prefer 17, 5362.CrossRefGoogle Scholar
132.Bernard, JC & Liu, Y (2017) Are beliefs stronger than taste? A field experiment on organic and local apples. Food Qual Prefer 61, 5562.CrossRefGoogle Scholar
133.Wilcox, K, Roggeveen, AL & Grewal, D (2011) Shall i tell you now or later? Assimilation and contrast in the evaluation of experiential products. J Consum Res 38, 763773.CrossRefGoogle Scholar
134.Biswas, D, Grewal, D & Roggeveen, A (2010) How the order of sampled experiential products affects choice. J Mark Res 47, 508519.CrossRefGoogle Scholar
135.Jain, R & Bagdare, S (2011) Music and consumption experience: a review. Int J Retail Distrib Manage 39, 289302.CrossRefGoogle Scholar
136.Garlin, FV & Owen, K (2006) Setting the tone with the tune: a meta-analytic review of the effects of background music in retail settings. J Bus Res 59, 755764.CrossRefGoogle Scholar
137.North, AC, Hargreaves, DJ & McKendrick, J (1999) The influence of in-store music on wine selections. J Appl Psychol 84, 271276.CrossRefGoogle Scholar
138.Baker, J, Grewal, D & Parasuraman, A (1994) The influence of store environment on quality inferences and store image. J Acad Mark Sci 22, 328339.CrossRefGoogle Scholar
139.Areni, S & Kim, C (1993) The influence of music on shopping behavior: classical versus top-forty music in a wine store. In Advances in Consumer Research, pp. 336340 [McAlister, L and Rothschild, ML, editors]. Provo: Association for Consumer Research.Google Scholar
140.Milliman, RE (1982) Using background music to affect the behavior of supermarket shoppers. J Mark 46, 8691.CrossRefGoogle Scholar
141.Spendrup, S, Hunter, E & Isgren, E (2016) Exploring the relationship between nature sounds, connectedness to nature, mood and willingness to buy sustainable food: a retail field experiment. Appetite 100, 133141.CrossRefGoogle ScholarPubMed
142.Peck, J & Childers, TL (2003) Individual differences in haptic information processing: the ‘need for touch’ scale. J Consum Res 30, 430442.CrossRefGoogle Scholar
143.Peck, J & Childers, TL (2003) To have and to hold: the influence of haptic information on product judgments. J Mark 67, 3548.CrossRefGoogle Scholar
144.Peck, J & Shu, SB (2009) The effect of mere touch on perceived ownership. J Consum Res 36, 434447.CrossRefGoogle Scholar
145.de Vries, R, Jager, G, Tijssen, I et al. (2018) Shopping for products in a virtual world: why haptics and visuals are equally important in shaping consumer perceptions and attitudes. Food Qual Prefer 66, 6475.CrossRefGoogle Scholar
146.Argo, J, Dahl, D & Morales, A (2006) Consumer contamination: how consumers react to products touched by others. J Mark 70, 8194.CrossRefGoogle Scholar
147.Morales, AC & Fitzsimons, GJ (2007) Product contagion: changing consumer evaluations through physical contact with ‘disgusting’ products. J Mark Res 44, 272283.CrossRefGoogle Scholar
148.Huyghe, E, Verstraeten, J, Geuens, M et al. (2017) Clicks as a healthy alternative to bricks: how online grocery shopping reduces vice purchases. J Mark Res 54, 6174.CrossRefGoogle Scholar
149.Shen, H, Zhang, M & Krishna, A (2016) Computer interfaces and the ‘direct-touch’ effect: can iPads increase the choice of hedonic food? J Mark Res 53, 745758.CrossRefGoogle Scholar
150.Buck, LB (2005) Unraveling the sense of smell (Nobel lecture). Angew Chem Int Ed 44, 61286140.CrossRefGoogle Scholar
151.Krishna, A, Lwin, MO & Morrin, M (2010) Product scent and memory. J Consum Res 37, 5767.CrossRefGoogle Scholar
152.Bradford, KD & Desrochers, DM (2009) The use of scents to influence consumers: the sense of using scents to make cents. J Bus Ethics 90(suppl 2), 141153.CrossRefGoogle Scholar
153.Spangenberg, ER, Crowley, AE & Henderson, PW (1996) Improving the store environment: do olfactory cues affect evaluations and behaviors? J Mark 60, 6780.CrossRefGoogle Scholar
154.Bosmans, A (2006) Scents and sensibility: when do (in)congruent ambient scents influence product evaluations? J Mark 70, 3243.Google Scholar
155.Mors, MR, Polet, IA, Vingerhoeds, MH et al. (2018) Can food choice be influenced by priming with food odours? Food Qual Prefer 66, 148152.CrossRefGoogle Scholar
156.de Wijk, RA, Smeets, PAM, Polet, IA et al. (2018) Aroma effects on food choice task behavior and brain responses to bakery food product cues. Food Qual Prefer 68, 304314.CrossRefGoogle Scholar
157.Griskevicius, V, Tybur, JM & Van den Bergh, B (2010) Going green to be seen: status, reputation, and conspicuous conservation. J Pers Soc Psychol 98, 392404.CrossRefGoogle Scholar
158.Cerri, J, Thøgersen, J & Testa, F (2019) Social desirability and sustainable food research: a systematic literature review. Food Qual Prefer 71, 136140.CrossRefGoogle Scholar
159.Cialdini, RB & Trost, MR (1998) Social influence: social norms, conformity, and compliance. In The Handbook of Social Psychology, pp. 151192 [Gilbert, D, Fiske, S and Lindzey, G, editors]. New York: McGraw-Hill.Google Scholar
160.Schultz, PW, Nolan, JM, Cialdini, RB et al. (2007) The constructive, destructive, and reconstructive power of social norms. Psychol Sci 18, 429434.CrossRefGoogle ScholarPubMed
161.Cialdini, RB (2003) Crafting normative messages to protect the environment. Curr Dir Psychol Sci 12, 105109.CrossRefGoogle Scholar
162.Ketron, S & Naletelich, K (2019) Victim or beggar? Anthropomorphic messengers and the savior effect in consumer sustainability behavior. J Bus Res 96, 7384.CrossRefGoogle Scholar
163.Cooremans, K & Geuens, M (2019) Same but different: using anthropomorphism in the battle against food waste. J Public Policy Mark 38, 232245.CrossRefGoogle Scholar
164.Elgaaied-Gambier, L, Monnot, E & Reniou, F (2018) Using descriptive norm appeals effectively to promote green behavior. J Bus Res 82, 179191.CrossRefGoogle Scholar
165.Melnyk, V, van Herpen, E, Fischer, ARH et al. (2013) Regulatory fit effects for injunctive versus descriptive social norms: evidence from the promotion of sustainable products. Mark Lett 24, 191203.CrossRefGoogle Scholar
166.Demarque, C, Charalambides, L, Hilton, DJ et al. (2015) Nudging sustainable consumption: the use of descriptive norms to promote a minority behavior in a realistic online shopping environment. J Environ Psychol 43, 166174.CrossRefGoogle Scholar
167.Momsen, K & Stoerk, T (2014) From intention to action: can nudges help consumers to choose renewable energy? Energy Policy 74, 376382.CrossRefGoogle Scholar
168.Abrahamse, W & Steg, L (2013) Social influence approaches to encourage resource conservation: a meta-analysis. Glob Environ Change 23, 17731785.CrossRefGoogle Scholar
169.Rettie, R, Burchell, K & Riley, D (2012) Normalising green behaviours: a new approach to sustainability marketing. J Mark Management 28, 420444.CrossRefGoogle Scholar
170.Osbaldiston, R & Schott, JP (2012) Environmental sustainability and behavioral science. Environ Behav 44, 257299.CrossRefGoogle Scholar
171.Kristensson, P, Wästlund, E & Söderlund, M (2017) Influencing consumers to choose environment friendly offerings: evidence from field experiments. J Bus Res 76, 8997.CrossRefGoogle Scholar
172.Sprott, DE, Spangenberg, ER, Block, LG et al. (2006) The question–behavior effect: what we know and where we go from here. Soc Influ 1, 128137.CrossRefGoogle Scholar
173.van Kleef, E, van den Broek, O & van Trijp, HCM (2015) Exploiting the spur of the moment to enhance healthy consumption: verbal prompting to increase fruit choices in a self-service restaurant. Appl Psychol Health Well Being 7, 149166.CrossRefGoogle Scholar
174.Puska, P, Kurki, S, Lähdesmäki, M et al. (2018) Sweet taste of prosocial status signaling: when eating organic foods makes you happy and hopeful. Appetite 121, 348359.CrossRefGoogle ScholarPubMed
175.Hartmann, C, Ruby, MB, Schmidt, P et al. (2018) Brave, health-conscious, and environmentally friendly: positive impressions of insect food product consumers. Food Qual Prefer 68, 6471.CrossRefGoogle Scholar
176.Robinson, E, Thomas, J, Aveyard, P et al. (2014) What everyone else is eating: a systematic review and meta-analysis of the effect of informational eating norms on eating behavior. J Acad Nutr Diet 114, 414429.CrossRefGoogle ScholarPubMed
177.Ellison, B (2014) ‘I'll have what he's having’: group ordering behavior in food choice decisions. Food Qual Prefer 37, 7986.CrossRefGoogle Scholar
178.Valenzuela, A & Raghubir, P (2009) Position-based beliefs: the center-stage effect. J Consum Psychol 19, 185196.CrossRefGoogle Scholar
179.Missbach, B & König, JS (2016) Middle choice preference and snack choice: the role of self-regulatory resources to nudge healthier food choice. Food Qual Prefer 53, 127131.CrossRefGoogle Scholar
180.Parker, JR & Lehmann, DR (2011) When shelf-based scarcity impacts consumer preferences. J Retail 87, 142155.CrossRefGoogle Scholar
181.Kongsbak, I, Skov, LR, Nielsen, BK et al. (2016) Increasing fruit and vegetable intake among male university students in an ad libitum buffet setting: a choice architectural nudge intervention. Food Qual Prefer 49, 183188.CrossRefGoogle Scholar
182.Rozin, P, Scott, S, Dingley, M et al. (2011) Nudge to nobesity I: minor changes in accessibility decrease food intake. Judgm Decis Mak 6, 323332.Google Scholar
183.de Wijk, RA, Maaskant, AJ, Polet, IA et al. (2016) An in-store experiment on the effect of accessibility on sales of wholegrain and white bread in supermarkets. PLoS ONE 11, e0151915.CrossRefGoogle ScholarPubMed
184.Broers, VJV, Van den Broucke, S, Taverne, C et al. (2019) Investigating the conditions for the effectiveness of nudging: cue-to-action nudging increases familiar vegetable choice. Food Qual Prefer 71, 366374.CrossRefGoogle Scholar
185.Privitera, GJ & Zuraikat, FM (2014) Proximity of foods in a competitive food environment influences consumption of a low calorie and a high calorie food. Appetite 76, 175179.CrossRefGoogle Scholar
186.Maas, J, de Ridder, DTD, de Vet, E et al. (2012) Do distant foods decrease intake? The effect of food accessibility on consumption. Psychol Health 27(suppl 2), 5973.CrossRefGoogle ScholarPubMed
187.Baskin, E, Gorlin, M, Chance, Z et al. (2016) Proximity of snacks to beverages increases food consumption in the workplace: a field study. Appetite 103, 244248.CrossRefGoogle ScholarPubMed
188.Meiselman, HL, Hedderley, D, Staddon, SL et al. (1994) Effect of effort on meal selection and meal acceptability in a student cafeteria. Appetite 23, 4355.CrossRefGoogle Scholar
189.Knowles, D, Brown, K & Aldrovandi, S (2018) Exploring the underpinning mechanisms of the proximity effect within a competitive food environment. Appetite 134, 94102.CrossRefGoogle ScholarPubMed
190.Goldstein, DG, Johnson, EJ, Herrmann, A et al. (2008) Nudge your customers toward better choices. Harv Bus Rev 86, 99105.Google Scholar
191.Loeb, KL, Radnitz, C, Keller, K et al. (2017) The application of defaults to optimize parents’ health-based choices for children. Appetite 113, 368375.CrossRefGoogle ScholarPubMed
192.van Kleef, E, Seijdell, K, Vingerhoeds, MH et al. (2018) The effect of a default-based nudge on the choice of whole wheat bread. Appetite 121, 179185.CrossRefGoogle ScholarPubMed
193.Bergeron, S, Doyon, M, Saulais, L et al. (2018) Using insights from behavioral economics to nudge individuals towards healthier choices when eating out: a restaurant experiment. Food Qual Prefer 73, 5664.CrossRefGoogle Scholar
194.Lombardini, C & Lankoski, L (2013) Forced choice restriction in promoting sustainable food consumption: intended and unintended effects of the mandatory vegetarian day in Helsinki schools. J Consum Policy 36, 159178.CrossRefGoogle Scholar
195.Huyghe, E, Geuens, M & Vermeir, I (2017) To squeeze or not to squeeze: how squeeze tubes affect consumers’ serving sizes. Appetite 111, 5662.CrossRefGoogle ScholarPubMed
196.De Bondt, C, Van Kerckhove, A & Geuens, M (2017) ‘My lips are sealed’ – the impact of package resealability on the consumption of tempting foods. Appetite 117, 143151.CrossRefGoogle ScholarPubMed
197.von Germeten, J-P & Hirsch, S (2015) Pre-sliced or do it yourself? – Determinants of schoolchildren's acceptance of convenience fruits and vegetables. Food Qual Prefer 44, 111.CrossRefGoogle Scholar
198.Carroll, KA, Samek, A & Zepeda, L (2018) Food bundling as a health nudge: investigating consumer fruit and vegetable selection using behavioral economics. Appetite 121, 237248.CrossRefGoogle ScholarPubMed
199.Steenhuis, IHM, Leeuwis, FH & Vermeer, WM (2010) Small, medium, large or supersize: trends in food portion sizes in The Netherlands. Public Health Nutr 13, 852857.CrossRefGoogle ScholarPubMed
200.Zlatevska, N, Dubelaar, C & Holden, SS (2014) Sizing up the effect of portion size on consumption: a meta-analytic review. J Mark 78, 140154.CrossRefGoogle Scholar
201.Hollands, GJ, Shemilt, I, Marteau, TM et al. (2015) Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco. Cochrane Database Syst Rev 9, CD011045.Google Scholar
202.Schwartz, J, Riis, J, Elbel, B et al. (2012) Inviting consumers to downsize fast-food portions significantly reduces calorie consumption. Health Aff 31, 399407.CrossRefGoogle ScholarPubMed
203.Vandenbroele, J, Slabbinck, H, Van Kerckhove, A et al. (2018) Curbing portion size effects by adding smaller portions at the point of purchase. Food Qual Prefer 64, 8287.CrossRefGoogle Scholar
204.Miller, N, Reicks, M, Redden, JP et al. (2015) Increasing portion sizes of fruits and vegetables in an elementary school lunch program can increase fruit and vegetable consumption. Appetite 91, 426430.CrossRefGoogle Scholar
205.do Vale, RC, Pieters, R & Zeelenberg, M (2008) Flying under the radar: perverse package size effects on consumption self-regulation. J Consum Res 35, 380390.CrossRefGoogle Scholar
206.Rowley, J & Spence, C (2018) Does the visual composition of a dish influence the perception of portion size and hedonic preference? Appetite 128, 7986.CrossRefGoogle ScholarPubMed
207.Rolls, BJ, Roe, LS, Halverson, KH et al. (2007) Using a smaller plate did not reduce energy intake at meals. Appetite 49, 652660.CrossRefGoogle Scholar
208.Libotte, E, Siegrist, M & Bucher, T (2014) The influence of plate size on meal composition. Literature review and experiment. Appetite 82, 9196.CrossRefGoogle ScholarPubMed
209.Aydinoğlu, NZ & Krishna, A (2011) Guiltless gluttony: the asymmetric effect of size labels on size perceptions and consumption. J Consum Res 37, 10951112.CrossRefGoogle Scholar
210.Szaszi, B, Palinkas, A, Palfi, B et al. (2018) A systematic scoping review of the choice architecture movement: toward understanding when and why nudges work. J Behav Decis Mak 31, 355366.CrossRefGoogle Scholar
211.Meder, B, Fleischhut, N & Osman, M (2018) Beyond the confines of choice architecture: a critical analysis. J Econ Psychol 68, 3644.CrossRefGoogle Scholar
212.Smith, NC, Goldstein, DG & Johnson, EJ (2013) Choice without awareness: ethical and policy implications of defaults. J Public Policy Mark 32, 159172.CrossRefGoogle Scholar
213.Rebonato, R (2014) A critical assessment of libertarian paternalism. J Consum Policy 37, 357396.CrossRefGoogle Scholar