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Purchasing vegan latte or plant-based latte: label communications toward sustainability

于International Food and Agribusiness Management Review
著者:
Hyeonjeong Lee Graduate student, Department of Agricultural Economics and Rural Development, Seoul National University Seoul 08826 South Korea

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Dongmin Lee Assistant Professor, Department of Marine Bio Food Processing, Gangneung-Wonju National University Gangneung 25457 South Korea

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Junghoon Moon Professor, Department of Agricultural Economics and Rural Development, Seoul National University Seoul 08826 South Korea

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Abstract

Consumers increasingly prefer lattes using alternative milk from plant-based sources. This study aims to find the factors affecting consumer intention to purchase lattes using alternative milk from plant-based sources and to compare the links between the factors and purchase intentions depending on two labels, “vegan” and “plant-based.” An online, scenario-based experiment was conducted with a between-subjects design (plant-based: n=268, vegan: n=265), followed by a survey. In both groups, the results show that the perceived benefits positively affect purchase intention, but the perceived barrier (i.e., vegetarian stigma) did not. Perceived benefits and preference were higher when showing a “plant-based latte” label focusing on the presence of plant-based ingredients than when showing a “vegan latte” label focusing on the absence of animal-based ingredients. For the label “vegan latte,” even if consumers are non-vegan, the higher their food curiosity, food snobbery, and food variety-seeking tendency, the higher their purchase intention. It suggests to marketers and menu developers what needs to be highlighted and which consumers to target to boost sales of latte using alternative milk. The findings emphasize the potential for labels to promote the purchase intention of alternative lattes, offering a strategy for changing consumer behavior.

1. Introduction

As the recent trend of interest in environmental impact and sustainability, personal health, and animal welfare issues has grown, plant-based alternatives have become increasingly popular and sophisticated (He et al., 2020). Plant-based foods are a large market in the United States, with high growth in many categories. Among these categories, milk alternatives showed total sales of $2.5 billion and meat alternatives showed $1.4 billion in 2020 (Good Food Institute, 2021). Although the market size for plant-based milk is much larger compared to the market size for plant-based meat, most studies have been conducted focusing on acceptance, sensorial properties, and purchasing behavior regarding plant-based meat (e.g., Bakhsh et al., 2021; Hwang et al., 2020; Kyriakopoulou et al., 2019; Michel et al., 2021; Rubio et al., 2020; Tziva et al., 2020).

Plant-based milk is a fast-growing category in the development of functional and special drinks worldwide, with greater demand than ever before (Sethi et al., 2016). This trend has also impacted the coffee market, with latte menus being developed and marketed that replace cow’s milk with plant-based milk (e.g., Nestle, 2019; Starbucks, 2020). Physicochemical studies have been conducted to improve the texture of lattes with plant-based milks (Chung et al., 2022; Liu et al., 2022a,b), and how consumer acceptance and sensory perception varies depending on the type of plant-based milk used (Gorman et al., 2021). However, there is a lack of research on the factors and motivations that influence consumers’ willingness to purchase lattes with plant-based milk.

Since lattes with alternative milk possess both the characteristics of a plant-based alternative and those of coffee, this study sought to understand the factors influencing the purchase intention of such lattes by referring to previous studies on the purchase behavior of plant-based milk products and coffee. Drinking plant-based milk can foster consumers’ perception that it may contribute to health and sustainability (Cruz et al., 2007; Van Loo et al., 2017), and it can also enhance their positive reputation for making altruistic choices for the environment (Schiano et al., 2020). Perceived benefits influence preferences, which in turn affect purchase intentions (Amaudova et al., 2022). Purchasing plant-based milk can potentially elicit a vegetarian stigma for making a choice isolated from non-vegetarians. The vegetarian stigma is known to have a negative impact on purchase intentions (Markowski and Roxburgh, 2019). Plant-based milk, as a novel product type, can pique consumers’ food curiosity (Haas et al., 2019). Given that coffee reflects diverse and fragmented tastes, opting for a latte made with plant-based milk can stimulate the trait of being a discerning gourmet who knows their own taste preferences, thereby eliciting food snobbery (Kaczorowski, 2023; Spiller, 2012). It is found that food curiosity and food snobbery influence food variety-seeking, which can also impact purchase intentions (Ellis and Thompson, 2018; Van Trijp et al., 1996; Xuhui et al., 2019). For these reasons, we considered perceived health benefits, perceived sustainability benefits, perceived reputational benefits, food snobbery, food curiosity, food variety-seeking, vegetarian stigma, and preference as factors influencing the purchase intention of lattes using plant-based alternative milk, and designed a research model to elucidate the mechanisms.

When purchasing food, consumers encounter a number of differentiated products with different attributes (Sharp, 2018). Consumer expectations of food are influenced by external information, which includes product-related posters, stickers, and labels (Ensaff et al., 2015; Grunert, 2002; Hollands et al., 2017; Prada et al., 2019). Labels are one of the most intuitive means of information about characteristics of foods (Meijer et al., 2021; Zeltzer et al., 2022). Simple labels are more effective than lengthy information, especially when it comes to consumer beverage choices (Acton et al., 2019; Liu et al., 2020), and are used as clues to assess sustainability (Lazzarini et al., 2017). Applying labels to products containing plant-based ingredients can exert influence on the selection of plant-based milk, consequently impacting the choice of a latte made with plant-based milk. According to Rosenfeld et al.’s (2022) study, plant-based foods are mainly labeled “vegan/vegetarian” and “plant-based”, and they analyzed different consumer behavior purchasing burgers labeled as “vegan” vs. “plant-based”. Ruby et al. (2024) found the ‘plant-based’ label was more appealing than the ‘vegan/vegetarian’ labels on cookies, sausages, cheese, chocolate, and pasta. However, few studies have been conducted on alternative dairy-related products with these two labels (Dominguez et al., 2023; Sleboda et al., 2024).

The purposes of this study are as follows: (i) to find the factors influencing consumer intention to purchase lattes using alternative milk from plant-based sources and (ii) to compare the associations between the factors and purchase intentions depending on two labels, namely “vegan latte (VGL)” and “plant-based latte (PBL).” To achieve these goals, a scenario-based online experiment was conducted with a between-subjects survey. This is one of the first studies to address what affects the purchase intention of latte using alternative milk on two different labels. It can also help expand the scope of labeling research on alternative food and beverage products, contribute to the literature on plant-based alternative beverages, and inform marketers and new product developers.

2. Literature review and hypothesis development

The research framework and hypothesized relationships are presented in Figure 1. Specifically, the research model is designed to examine the effects of eight main factors proposed as influencing the purchase intention of lattes using alternative milk.

Research model and hypothesized relationships. Abbreviations: VGL, Vegan latte; PBL, Plant-based latte.
Figure 1.

Research model and hypothesized relationships. Abbreviations: VGL, Vegan latte; PBL, Plant-based latte.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

2.1. Perceived benefits and preference for vegan/plant-based lattes

The health benefits of plant-based dairy have been investigated for many years. Since plant-based milk products have no lactose and no milk proteins, they are preferred over cow’s milk by consumers who are lactose-intolerant or allergic to milk proteins (Cruz et al., 2007). Plant-based dairy products also have no cholesterol and are low in calories, so people who want to avoid high blood pressure, diabetes, cardiovascular disease, hypercholesterolemia, or obesity tend to choose plant-based dairy alternatives over animal-based ones (Tuso et al., 2013). Recently, the presence of health-promoting ingredients such as minerals, dietary fiber, vitamins, and antioxidants has made plant-sourced products recognized as functional foods (Das et al., 2012). Many plant-based beverages contain functionally active components with health-promoting properties that attract health-conscious consumers (Sethi et al., 2016). Many studies have shown that perceived health benefits can affect consumers’ choice of plant-based alternative products (e.g., Graça et al., 2015; Lea and Worsley, 2003; Lea et al., 2006).

Plant-based products are also considered more sustainable than animal-based foods (Van Loo et al., 2017). From an environmental perspective, the dairy market is one of the largest producers of greenhouse gases in agriculture (Karwacka et al., 2020). The carbon and water footprints of milk are larger than those of plant milk (Clune et al., 2017). In other words, the consumption of plant milk is much more sustainable than the consumption of cow milk. Vainio et al. (2016) investigated motivations in replacing animal-based proteins with plant-based proteins and showed that the main motivation for the change was interest in environmental issues. Previous studies have reported that animal welfare is the main reason for the pursuit of vegetarianism (e.g., Lazzarini et al., 2017; Radnitz et al., 2015; Schiano et al., 2020), and it applied to alternative milk products (Boaitey and Minegishi, 2020; Haas et al., 2019). Animal welfare contributes to ecological, ethical, social, and economic sustainability (Vinnari and Tapio, 2012). In this reason, perceived sustainability benefits can affect the purchase intention of lattes using alternative milk.

The perceived reputational benefits of consuming lattes using plant-based milk can affect purchase intentions. A “reputational benefit” is known as a factor that positively influences food consumer behavior (e.g., Kimura et al., 2012; van de Grint et al., 2021). This can apply to coffee purchase behavior. Sophisticated coffee consumption no longer serves simply to quench one’s thirst; indeed, it also contributes to a prestigious reputation (Lin, 2012). Consuming plant-based alternative products is also known to relate to altruistic motives (Schiano et al., 2020). Several studies on altruistic behavior have suggested that altruistic or generous behavior can be enhanced by other people’s signals and potential reputation outcomes (Pinto et al., 2019). Therefore, the consumption of lattes using alternative milk can be perceived as obtaining reputational benefits for the reasons mentioned above, which can affect consumers’ intention to purchase.

The literature review found that the perceived benefits affect attitudes in plant-based food consumption based on the theory of planned behavior (Arnaudova et al., 2022; Schiano et al., 2020). Ajzen (1985) said the definition of attitudes is an individual’s positive or negative evaluation of performing the behavior. Fishbein and Ajzen (2011) also said that “attitude” means a latent disposition or tendency to respond with a degree of favorableness or unfavorableness to a psychological object. It refers to the positive or negative evaluation of the outcome associated with performing a given behavior, such as purchasing a latte using alternative milk. The factors that can influence attitudes are known as perceived beliefs, but regarding plant-based foods or plant-based milk, research has mainly focused on perceived benefits among perceived beliefs (e.g., Espinosa and Azambuja, 2022; Ketelings et al., 2023; Munialo and Andrei, 2023). Therefore, attitudes should have reflected positive evaluations rather than negative ones, leading preference to be considered as a form of attitude. In many studies, the perception and purchase intention of plant foods have been investigated and compared to existing animal-based foods, since the former are the substitute for the latter (e.g., Charlebois et al., 2019; Çınar et al., 2022; Cliceri et al., 2018; Duchene and Jackson, 2019). “Preference” is defined as a greater liking of one alternative over another, which requires a comparison between two objects (Szmukler, 2019). For this reason, preference can be a suitable concept for attitude to compare a vegan/plant-based latte with a general animal-based latte. Therefore, we hypothesize the following:

H1a/b: Perceived health benefits of VGL/PBL have a positive effect on preference for VGL/PBL.

H2a/b: Perceived sustainability benefits of VGL/PBL have a positive effect on preference for VGL/PBL.

H3a/b: Perceived reputational benefits of VGL/PBL have a positive effect on preference for VGL/PBL.

H4a/b: Preference for VGL/PBL has a positive effect on purchase intention of VGL/PBL.

2.2. Food snobbery, curiosity, and variety-seeking

Food snobbery drives individuals to seek out new, exotic, or trendy products over traditional ones, reflecting a trend seen in the emphasis on sophistication and uniqueness through restaurant reviews, food programs, and dining-out situations (Ashley et al., 2004; Bauman, 2005; Spiller, 2012). It is based on the thought that being a gourmet is a relatively inexpensive way to represent social and capital status (May, 1996). Since food snobbery has evolved from its past connotation of consuming elitist delicacies to a trend towards seeking more diverse consumption of food (Peterson and Kern, 1996; Yu and Margolin, 2021), this characteristic can affect food variety-seeking tendency. Due to the particular interest in various foods among foodies in modern society, engaging in vegan diets can also be considered a form of food snobbery (Collins, 2014). Latte products using alternative milk can be seen as attractive as a new type of latte product. According to Mintel GNPD (2024), the number of new latte products using plant-based milk globally has been growing rapidly at an average annual rate of 44.4% from 2019 to 2023. Consumers who seek unique and adventurous flavors, are consuming lattes made with plant-based alternatives dairy products, driving potential innovation in the coffee market (Kaczorowski, 2023).

One of the most important drives to a variety-seeking tendency is curiosity. This is an integral concept of the variety-seeking motive (Dember and Earl, 1957; Hoyer and Ridgway, 1984; Van Trijp et al., 1996). Ueda (2017) defined the concept of food curiosity as the “eater’s ability to know everything about food, whether it is in the stage of production, processing, or consumption.” As a trigger to consume plant-based milk, curiosity was cited as the main factor (Haas et al., 2019). Curiosity regarding plant-based milks is especially about taste, and most people who have tried them are looking for something they can enjoy drinking, not something similar to standard milk (Batista et al., 2023; Pointke et al., 2022). In other words, they consider drinking plant-based milks an opportunity to expand their diet, which is associated with learning that is open to new tastes focused on diversifying (Adamczyk et al., 2022). Therefore, food curiosity can be a factor influencing food variety-seeking tendency that affects purchase intention of latte using plant-based milk.

Coffee is the most consumed beverage worldwide (Farah, 2009), and the coffee industry has catered to individuals’ sophisticated tastes with diverse products (Adams, 2012; de Almeida and Zylbersztajn, 2017; Maciejewski et al., 2019). A latte using alternative milk is a new option for coffee made using soy, almond, or oat milk, which are known to have different sensory characteristics compared to a conventional latte using cow milk (Demi̇r et al., 2021; Gupta and Bisla, 2019; Kundu et al., 2018). In other words, this can be considered a new type of latte with different attributes for consumers who seek variation in coffee. Several studies have shown that a variety-seeking tendency has a significant effect on food consumption and purchase intention (Ellis and Thompson, 2018; Legohérel et al., 2012; Xuhui et al., 2019), so it can be considered that the higher the food variety-seeking propensity consumers have, the higher their intention to purchase a latte using alternative milk. Thus, the following hypotheses are advanced:

H5a/b: Food snobbery has a positive effect on food variety-seeking in the VGL/PBL group.

H6a/b: Food curiosity has a positive effect on food variety-seeking in the VGL/PBL group.

H7a/b: Food variety-seeking has a positive effect on purchase intention of VGL/PBL.

2.3. Vegetarian stigma

Perceived vegetarian stigma is considered a barrier when a non-vegan/non-vegetarian chooses plant products, which can negatively affect the purchase intention of lattes using alternative milk. Minson and Monin (2012) stated that “do-gooder derogation” has shown that vegetarians who are perceived to behave morally and ethically can be negatively judged by others. With focus group discussions, Markowski and Roxburgh (2019) showed that non-vegetarians attempt to avoid this stigma through social and behavioral distancing, which suggests that the stigma of vegetarianism is a barrier inhibiting plant-based diet choices. For this reason, purchasing plant-based alternatives can sometimes be stigmatized or socially undervalued. Many studies have demonstrated that vegetarianism is an act that can be denigrated, creating “vegaphobia,” which forms strained relationships with others such as family, friends, and coworkers (e.g., Cole and Morgan, 2011; Hirschler, 2011; Larsson et al., 2003; Rosenfeld and Tomiyama, 2020; Twine, 2014). Especially in South Korea, given the social importance placed on ordering and sharing similar menu items together to create intimate relationships and emotional ties, veganism faces enormous social pressure to give in to traditional omnivorous diets, as it can be seen as a bad practice and contradictory to non-vegetarian norms (Yoo and Yoon, 2015). This behavior tends to be stigmatized more severely by creating dissonance over group conformity (Bresnahan et al., 2016). Especially, purchasing coffee can be more influenced by other people’s eyes because it is often consumed at cafes with other people (Petit and Sieffermann, 2007). Accordingly, we hypothesize the following:

H8a/b: Vegetarian stigma has a negative effect on purchase intention of VGL/PBL.

2.4. Label communication for plant-based alternative products

It is not easy to purchase food because one cannot know much about important characteristics such as taste, flavor, and texture before trying it. Yet, labels attached to products and menus help consumers make food choices by providing information about them (Heimbach, 1981). In the absence of face-to-face meetings between the end consumer and the food operator, food labeling, which represents the actual interface, is the best means of providing appropriate information to the consumer (Caswell and Padberg, 1992; Tonkin et al., 2015). Many studies have demonstrated that the information on various labels attached to products affects perception, acceptance, preference, purchase intentions, and purchase behavior (e.g., Ares et al., 2014; Folkvord et al., 2021; McGuinness et al., 2022; Paula et al., 2021; Taillie et al., 2022).

When marketers put labels on plant-based products, they generally use the descriptors “vegetarian/vegan” or “plant-based” (Papies et al., 2020). The former can define the boundary of consumers or give people a vegan identity, which may act as a barrier to their purchase intention (Markowski and Roxburgh, 2019). And the “vegetarian/vegan” framing can be explained by loss, which means that it lacks animal-based ingredients (Rosenfeld et al., 2022). However, the latter is likely to focus on what products gain and contain rather than what they lack, so it does not have the barrier associated with veganism (Anderson, 2019). The label “plant-based” does not contain information about target consumers, so it may be more value-neutral, not a barrier to consumption. Krpan and Houtsma (2020) showed that consumers choose plant-based products more often when they are labeled with a social frame (e.g., relaxing conversations) or a pro-environmental frame (e.g., environmentally friendly), compared to when they are labeled vegetarian or vegan. According to previous studies, gain framing is more effective than loss framing in healthy and sustainable eating behavior, and it has been applied to these two labels (Carvalho et al., 2022; Gallagher and Updegraff, 2012). For this reason, it can be considered that consumers view a latte labeled “plant-based” more favorably than a latte labeled “vegan.” Lattes using alternative milk can be consumed by vegans who refuse to consume cow milk (North et al., 2021); thus, we label them “vegan latte” and “plant-based latte” in this study. The effects of labeling on plant-based products have been little studied (Anderson, 2019; Rosenfeld and Tomiyama, 2020), especially in the beverage category. Therefore, we hypothesized the relationship between the purchase intention of plant-based lattes and the factors affecting that intention would differ for two labels, namely “vegan latte (VGL)” and “plant-based latte (PBL).”

3. Research methods

3.1. Data collection

To investigate various factors influencing consumers’ purchase intention of a vegan/plant-based latte, a scenario-based experiment was conducted with a between-subjects online survey design. We collected responses through Embrain, a mobile research company having 1.3 million panels in South Korea. Links were randomly sent to their panels through Embrain survey platform with the quota sampling method for age and gender. Consequently, a total of 533 valid responses were collected in the study, of which 265 were responses to the vegan label group and 268 to the plant-based label group. Based on the literature reviews, sample sizes less than 100 are often considered small, sample sizes between 100 and 200 are moderate, and sample sizes exceeding 200 are considered large enough (Kline, 2005). A similar criterion reported by Ding et al. (1995) is that the minimum sample size suitable for the analysis is typically 100 to 150 participants.

Respondents’ participant consent was obtained before the experiment started. Data privacy and anonymity were assured. The respondents consisted of both genders with or without lactose intolerance, with a variety of educational background, age (over 18), income, frequency of coffee intake, and preference for almonds. However, vegans and vegetarians are generally known to have different purchasing behavior mechanisms when purchasing plant-based products (Martinelli and De Canio, 2021; Salehi, 2018; Yoh, 2018), and only 0.2% of South Koreans choose not to eat meat, specifically beef, pork, poultry, and fish (Korea Agro-Fisheries and Food Trade Corporation, 2022). So, vegans and vegetarians were excluded from this survey targeted to non-vegetarian food and beverage consumers. Thus, our study is possibly generalizable to non-vegetarian consumers.

The demographic information of respondents in each group is presented in Table 1, which includes gender, age, monthly income, education level, (self-reported) lactose intolerance, intake frequency of coffee, and preference for almonds. In both groups, the proportion of men and women was nearly the same, and participants aged 20 to 49 accounted for about 80% of the total. Since it was conducted with a mobile survey, the proportion of respondents in their 50s and older, whose smartphone penetration rate is lower, was smaller than that of other age groups. Over 80% of the participants earned a monthly income of less than US$4734.77. Nearly 90% of the respondents had graduated from college. Respondents with (self-reported) lactose intolerance accounted for about 25% of the vegan latte group and 31% of the plant-based latte group. For the question asking about almond preference on a 7-point Likert scale, both groups scored 5.2 points on average. In this sense, it can be considered that there is no difference in the sample properties of the two groups. Compared to the South Korean population, the study sample is biased in favor of younger and better educated (KOSIS, 2022). Since the survey was conducted through a mobile survey app, it is presumed that it was easier to access younger people with higher mobile utilization.

Properties of the sample (n=533)
Table 1.

Properties of the sample (n=533)

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

3.2. Experimental design and materials

After agreeing to participate, respondents could see the stimuli comprising information with vegan/plant-based labels and then respond to the survey. The stimuli are represented in Figure 2. Since this study aims to reveal whether there is a difference between the factors that influence purchase intention depending on labels, latte information labeled “vegan” or “plant-based” was shown to respondents. The words “vegan” and “plant-based” were marked in front of the word “latte,” and an explanation of how the latte was made was added. All information provided to both groups was the same except for the labels, as the focus was only on the effects of the labels. We described it as a latte made with almond milk to help consumers understand vegan/plant-based lattes. In the Korean market, “oat latte” is likely to be recognized as a product of a certain cafe brand (The Food and Beverage News, 2021), and soy milk has been considered a daily drink for a long time (Kim and Kwon, 2001). Therefore, almond lattes, which are uncommon but sensually less resistant compared to other plant-based milk lattes (Sethi et al., 2016), were selected as stimuli.

Information offered to respondents as stimuli.
Figure 2.

Information offered to respondents as stimuli.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

The research was conducted using a quantitative method, operationalized through a cross-sectional survey (Malhotra et al., 2017). To operationalize the constructs, a 7-point Likert scale was used, with its extremes being “1. strongly disagree” and “7. strongly agree.” The questionnaire included a series of statements used to measure purchase intention (PI), preference (PRF), perceived health benefits (HB), perceived sustainability benefits (SB), perceived reputational benefits (RB), food snobbery (FS), food curiosity (FC), food variety-seeking (FVS), and vegetarian stigma (VS). The statements used to evaluate the constructs of purchase intention (Chen and Lee, 2015), preference (Wang, 2013), perceived health benefits (Dorce et al., 2021; Yazdanpanah et al., 2015), perceived reputational benefits (Gershon et al., 2020), food variety-seeking (Marshall and Bell, 2004; Steenkamp et al., 1993), food curiosity (Hwang et al., 2020; Ueda, 2017), and vegetarian stigma (Rosenfeld and Tomiyama, 2020) were adapted from previous studies. The measurement items for perceived sustainability benefits and food snobbery were developed. The measure development procedure for these two variables followed Lee et al. (2021)’s method, which is modified from Churchill Jr (1979), Smith et al. (1996), and Sweeney and Soutar (2001). After specifying the domain and dimensionality of the construct in the literature review (Food snobbery: Ashley et al. (2004); Spiller (2012); Williamson et al. (2009); Wood (1996), Perceived sustainability benefits: Schiano et al. (2020); McClements et al. (2019); Reyes-Jurado et al. (2021)), we constituted an offline expert committee with two professors and five master and doctoral students and conducted a pre-test for the face, content, and criterion validity. The Attendance of experts to judge measurements’ domain is common in marketing areas (e.g., Babin and Burns, 1998; Sweeney and Soutar, 2001). Based on the feedback, items of food snobbery and perceived sustainability benefits have been added, deleted, and modified to improve content validity. The designed questionnaire, including items of all variables, was translated into Korean by five bilingual English-Korean speakers, including authors, following Tsang et al.’s (2017) guidelines. The initial version of the survey was pilot-tested on 70 coffee consumers in South Korea for exploratory/confirmatory factor analysis and a reliability test, which was administered only for the case of latte labeled “plant-based”. The pilot-test link was mainly distributed to undergraduate and graduate students through Google Form. As a result, a few items were dropped and shortened based on explanatory/confirmatory factor analysis and reliability analysis of the data. Finally, 4 items were selected for the perceived sustainability benefits, and 4 items were also selected for the food snobbery. This process was performed to reduce the cognitive burden of respondents and to obtain better-quality answers. All statements for the main survey are presented in Table A3 in the Appendix.

3.3. Statistical analysis

The following four-step analysis was conducted to verify the hypotheses in each group (Group 1: offered latte information with the vegan label; Group 2: offered latte information with the plant-based label). First, to evaluate the measurement models by means of partial least squares-structural equation modeling (PLS-SEM), the reliability and validity of the scales were verified with Smart PLS 3.0 (Ramayah et al., 2018) before the next analysis. For both groups, identical structures and items were used, which is essential for the multigroup comparison condition. Second, a t-test was conducted to analyze the difference of perceived benefits, preference, and purchase intention by the different label types. Third, to evaluate the structural model, path coefficients and R-squared- and p-values were separately calculated for each group. Finally, multigroup analysis (MGA) was conducted between the two groups. To study the differences between the path coefficients, the Smith–Satterthwaite t-test was conducted (Chin, 2000). Due to the unequal variances between the two groups, the Smith–Satterthwaite t-test was conducted instead of Student’s t-test. It has been used to compare path coefficients in MGA applying PLS-SEM (Henseler, 2012; Lamberti, 2023; Velayutham et al., 2012).

4. Results

4.1. Confirmatory factor analysis (CFA)

The assessment of the measures included the reliability and discriminant validity of the measurements. Individual item loadings and internal consistency were examined as tests of reliability. Because of high cross-loadings, items PI1, PRF2, and RB1-4 were removed from the model for adequate discriminant validity. As shown in Tables A4 and A5 in the Appendix, the cross-loading for every measurement is greater than 0.7, which means there is adequate internal reliability except for FC2; however, this item is near 0.7, which is still acceptable. Table A1 in the Appendix shows Cronbach’s alpha, rho A, construct reliability (CR), and average variance extracted (AVE). Cronbach’s alpha and rho A for all latent constructs was above 0.7, indicating internal consistency and indicator reliability. Also, since all composite reliability values are above 0.7, measurements have both convergent validity and internal consistency (Werts et al., 1974). AVE was also examined. AVE shows the variance that a construct captures from indicators, in relation to the variance contained in measurement error. This is generally interpreted as a measurement of reliability for the construct and of evaluating discriminant validity (Bakos, 1998). These results indicate that the measurement model has suitable composite reliability and validity.

Table A2 in the Appendix shows the correlation coefficients between the variables and the ratio of the square root of AVE of each construct. The diagonal elements in bold are the square roots of AVE, which are the correlations of each variable with its own measurement. The off-diagonal elements are correlations between variables. Diagonal values should be greater than the entries in corresponding rows and columns for discriminate validity. Each construct is more correlated with its own measure than with other constructs, showing strong discriminant validity. Based on this result, the measurements of both models can be considered appropriate.

4.2. Differences in perceived benefits, preference, and purchase intention by labeling

The differences in perceived benefits, preference, and purchase intention between the vegan group and the plant-based group were analyzed with the t-test. The results are listed in Table 2. Perceived preference (mean of the VGL group=3.589, mean of the PBL group=3.931, t=2.512), health benefits (mean of the VGL group=4.229, mean of the PBL group=4.433, t=1.749), and reputational benefits (mean of the VGL group=3.240, mean of the PBL group=3.451, t=1.671) were higher when latte information with the plant-based label was offered than with the vegan label offered. According to the results, this implies that consumers consider the latte more favorable when names of products or menu options have plant-based labels instead of vegan labels. In other words, plant-based labeling can be considered to have a positive effect on perceived benefits and preference. However, there was no significant difference in perceived sustainability benefits and purchase intention depending on the labels.

Differences in perceived benefits, preference, and purchase intention between the vegan label group and the plant-based label group
Table 2.

Differences in perceived benefits, preference, and purchase intention between the vegan label group and the plant-based label group

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

4.3. Assessment of the structural model

Structural equation modeling was conducted with Smart PLS 3.0 to test the hypothesized structural models. The coefficients of determination (R²) were verified to determine the explanatory power of the proposed models (Malhotra et al., 2017). In the model for the vegan latte group, independent variables explained 56.0% (R²=0.560) of the variance of purchase intention, and in the model for the plant-based latte group, they explained 47.9% (R²=0.479) of the variance of purchase intention.

The standardized regression coefficients and their significance levels for the vegan latte (VGL) group are presented in Figure 3 and those for the plant-based latte (PBL) group are presented in Figure 4. For the vegan latte group, the theorized relationships perceived health benefits of VGL → preference for VGL, perceived sustainability benefits of VGL → preference for VGL, perceived reputational benefits of VGL → preference for VGL, preference for VGL → purchase intention of VGL, food snobbery → food variety-seeking, food curiosity → food variety-seeking, and food variety-seeking → purchase intention of VGL were found to be significantly positive. However, the relationship vegetarian → purchase intention of VGL was not significant. For the plant-based latte group, the theorized relationships perceived health benefits of PBL → preference for PBL, perceived sustainability benefits of PBL → preference for PBL, perceived reputational benefits of PBL → preference for PBL, preference for PBL → purchase intention of PBL, food snobbery → food variety-seeking, food curiosity → food variety-seeking, and food variety-seeking → purchase intention of PBL were found to be significantly positive, and the relationship vegetarian → purchase intention of PBL was not significant. In other words, all types of perceived benefits have positive effects on preference, which also has a positive effect on purchase intention, but vegetarian stigma does not have a significant effect on purchase intention in either group. Food curiosity and food snobbery positively affected variety-seeking in all groups, but food variety-seeking had a significantly positive effect on purchase intention only in the vegan latte group. Therefore, hypotheses 1, 2, 3, 4, 5, 6, and 7(a) are supported in both groups with paths significant at the p=0.01 level. In both groups, variety-seeking affects preference in the order of reputation benefits (VGL; β=0.470/PBL; β=0.337), health benefits (VGL; β=0.252/PBL; β=0.289), and sustainability benefits (VGL; β=0.158/PBL; β=0.177). In the vegan latte group, preference (β=0.573) considered as attitude has a greater influence on purchase intention than food variety-seeking does (β=0.163). Among control variables, preference for almond has a significant effect on purchase intention in both groups, and gender has a significant effect on purchase intention only in the vegan latte group.

Structural model results in the vegan latte (VGL) group.
Figure 3.

Structural model results in the vegan latte (VGL) group.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

Structural model results in the plant-based latte (PBL) group.
Figure 4.

Structural model results in the plant-based latte (PBL) group.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

4.4. Multigroup analysis of the vegan and plant-based labels

To compare the links between the factors and the purchase intentions depending on two labels, the values of each path coefficient in the structural models of preference and purchase intention were compared using the Smith–Satterthwaite t-test (Chin, 2000). The Smith-Satterthwaite t-test equation used in this study is represented as follows:

Equation

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

where Pathi, unstandardized path coefficient in group I; SE, standard error in group i, degree of freedom: m+n−2.

Table 3 indicates the results of the multigroup analysis. In the PBL group, the path coefficients from health benefits to preference, from sustainability benefits to preference, from preference to purchase intention, and from vegetarian stigma to purchase intention are significantly higher than in the VGL group. However, in the VGL group, the path coefficients from reputational benefits to preference and from food variety-seeking to purchase intention are significantly higher than in the PBL group. This shows that there are significant differences for all the effects of the independent variables on the purchase intention of latte products with the vegan labeling and the plant-based labeling at the p=0.01 level.

Multigroup analysis results for structural models of preference and purchase intention using the Smith–Satterthwaite t-test.
Table 3.

Multigroup analysis results for structural models of preference and purchase intention using the Smith–Satterthwaite t-test.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

5. Discussion

This study aims to find the factors affecting consumer intention to purchase lattes using alternative milk from plant-based sources and to compare the links between the factors and purchase intentions depending on two labels, “vegan latte” and “plant-based latte.” To achieve the above goals, the online and scenario-based experiment was conducted with a between-subjects design, followed by a survey. In both groups watching latte information with “vegan” and “plant-based”, the perceived benefits had a positively significant effect on purchase intention, but the perceived barrier (i.e., vegetarian stigma) did not. Perceived benefits and preference were higher when showing a “plant-based latte” label focusing on the presence of plant-based ingredients than when showing a “vegan latte” label focusing on the absence of animal-based ingredients. However, there was no significant difference between purchase intentions depending on the label. For the label “vegan latte,” the higher their food curiosity, food snobbery, and food variety-seeking tendency, the higher their purchase intention, even though consumers are non-vegan. It implies vegan certifications can work in marketing. The findings of this study provide marketers and practitioners with what needs to be highlighted and which consumers to target to boost sales of lattes using alternative milk. We provide a strategy for changing consumer behavior, emphasizing the potential for labels to promote the purchase intention of lattes using alternative milk.

5.1. Factors associated with purchase intention of latte using alternative milk

According to the results of this study, perceived benefits have a significant effect on product preference, which affected the purchase intention of the product in both the vegan latte group and the plant-based latte group. This is supported by the theory of planned behavior (TPB) in which behavioral beliefs affect attitudes, and attitudes affect intentions (Ajzen, 1991; Fehér et al., 2020). Furthermore, this study shows results similar to those of previous studies demonstrating that perceived health benefits, perceived sustainability benefits, and perceived reputational benefits of plant-based products affect attitudes and purchase intentions toward them (Corepal and Copeman, 2014; Corrin and Papadopoulos, 2017; Fehér et al., 2020; Jang and Cho, 2022; Lea et al., 2006; Lea and Worsley, 2003; Ye and Mattila, 2021). This suggests that they can be applied as factors that affect the preference of coffee products using plant-based milk as well.

In detail, consumers perceive health benefits and sustainability benefits as higher among perceived benefits. In other words, consumers recognize that purchasing a latte using alternative milk not only helps them keep healthy, lose weight, and prevent disease, but also helps reduce the carbon footprint or greenhouse gas emissions and contribute to animal welfare. Not only the above two perceived benefits but also reputation benefits were found to be a factor affecting the preference for a latte using plant-based milk. This supports previous research that demonstrated a relationship between consuming plant-based alternatives and reputation benefits (Pinto et al., 2019; Schiano et al., 2020).

Consumers who purchase sustainable products are recognized as more altruistic (Shiano et al., 2020), and eco-friendly behavior is more likely to occur when it is disclosed to others (Takahashi, 2021). Coffee is frequently consumed during social communication with others in cafes and can thus be greatly affected by reputation benefits. Meanwhile, according to existing studies on the perception of coffee where the consumption of coffee with eco-friendly and ethical attributes leads to a good reputation, the reputation benefits and preference for fair trade or organic coffee are higher than those for general coffee (Brenner et al., 2009; Carr et al., 2021; Donnet et al., 2007). The results of this study demonstrate that a latte using plant-based milk is a type of coffee that can benefit from reputation as well, extending previous literature that reputation benefits based on coffee properties can affect preferences and purchase intentions.

On the other hand, vegetarian stigma did not significantly affect the intention to purchase lattes using alternative milk, which supports findings that social stigma does not prevent consumers from maintaining a vegan lifestyle (Brouwer et al., 2022). Beverages, especially coffees, have been considered a category reflecting individual tastes (Li et al., 2019; Masi et al., 2015; Quintão et al., 2017; Spence and Carvalho, 2020), and they are not shared with others, unlike food in Korea. Therefore, it does not cause a negative perception from people around them, and this barrier does not seem to have an impact on purchasing plant-based beverages. In other words, perceived benefits positively affect the preference and purchase intention of lattes using alternative milk in Korea, but barriers do not. This has the following important implications for marketers of plant-based beverages: showing what consumers can get from the products is more effective than covering what they can lose. This means it can boost sales of lattes using alternative milk by utilizing gain message framing on benefits such as easy to digest, low calorie, greenhouse gas reduction, and animal welfare. For instance, if a latte using plant-based milk is offered on a café’s coffee menu, health benefits such as “low calorie” and “lactose-free” could be presented on the menu board or posters within the establishment. Additionally, messages promoting sustainability benefits such as “You are helping reduce greenhouse gas emissions” and “You are contributing to animal’s welfare” could be displayed to increase sales. Similarly, if it is sold as a ready-to-drink product, showing these intuitive benefits through labels on the product package could also increase sales.

Next is a discussion of the effect of food consumption propensity on purchase intention. In the results of this study, consumers’ food snobbery and food curiosity have a positive significant effect on variety-seeking tendency. For the latte using alternative milk with a “vegan” label, it is an attractive option for consumers who are curious about unfamiliar foods, snobbish from being knowledgeable about foods, and interested in diverse foods. This can be used as good data for consumer targeting by revealing the properties of consumers with higher purchase intentions for lattes using alternative milk. In addition, it would be effective to appeal with a menu separate from a traditional latte menu by adding it as a new menu or by stating that cow milk can be replaced with plant-based milk, stimulating consumers’ variety-seeking behavior. Academically, it is meaningful that it expands and develops previous studies explaining the drivers for food variety-seeking behavior (Caracciolo et al., 2022; Kahn and Isen, 1993; Liu et al., 2022a,b), since causal relationships among these have not been clearly presented in studies with structural equation modeling in the field of food purchasing. In particular, the relationship between snobbery and purchase intention has been mainly studied in fashion (Chattalas and Shukla, 2015; MajlesiRad and Haji pour Shoushtari, 2020; Martinez and Kim, 2012; Wee et al., 1995). We extended this concept to food and further developed measurements to apply it for the food and beverage category. The reason why the tendency to pursue diversity affects purchase intention only when there is a vegan label is discussed in 5.2.

5.2. Different perceptions depending on labels: comparison between “vegan” and “plant-based”

Through this study, we tried to find different perceptions depending on the two labels, “vegan” and “plant-based”, to help sell lattes using alternative milk. After showing both labels to consumers, a consumer perception survey found that perceived health benefits, perceived reputation benefits, and preferences were higher in the group of consumers who saw the latte information with the plant-based label. Furthermore, as a result of analyzing the path coefficients, it was found that the health benefits and sustainability benefits were higher in the group that saw the information with the label, “plant-based.” To sum up, most perceived benefits and preferences were higher in the group who saw “plant-based” labeled lattes. It suggests that labels representing attributes such as “plant-based” may be preferred to labels representing target consumers, such as “vegetarian/vegan”. This result also implies that the gain message can also be effective in labeling. It supports previous studies about the message framing of sustainable and healthy food consumption related to plant-based foods and beverages, since the label “plant-based” focuses on what is gained and the label “vegan” focuses on what is lacking. It supports previous studies that demonstrated a gain frame works better than a loss frame does when adopting and consuming eco-friendly and sustainable diets (Carfora et al., 2022; Carvalho et al., 2022; Conor et al., 2018). Nevertheless, there were no statistically significant differences in purchase intention between the two conditions. The market size of the domestic alternative milk-related products is growing rapidly, but it is still an early market in South Korea (Kim, 2021). Since the survey targets general consumers who have not confirmed their past purchase experience, there seems to be no difference in actual purchase intention.

Rosenfeld et al. (2022), however, showed the different results compared to our study. They expected higher sales when a hamburger was labeled as plant-based, but sales were higher when it was labeled as vegan. They explained that this was because people are skeptical of having unfamiliar foods. Consumers are familiar with what it means for a food to be vegan, whereas they are less familiar with what precisely it means for a food to be plant-based. In our study, we interpret the results as Rosenfeld et al. (2022)’s hypothesis, referring to vegetarian/vegan menu as “plant-based” would have them more likely to sell, compared to referring to them as “vegetarian/vegan”. Based on prospect theory and its evidence (Gallagher and Updegraff, 2012; Kahneman and Tversky, 1979), it was anticipated that labeling a food as “plant-based” would emphasize the benefits consumers receive from it, leading to increased consumer acceptance, whereas “vegetarian/vegan” would emphasize losses and be less appealing. It may be because uncertainty about the product was eliminated by adding an explanation in our study. In other words, it suggests that reducing uncertainty about label content by providing information can affect the consumer perception.

In the case of using the label “vegan,” the more variety people seek, the higher the intention to purchase a latte using plant-based milk. It can be difficult that lattes with the label “plant-based” are considered a different type of latte product, since it requires only changing the properties of latte products by replacing cow milk with plant-based milk. However, lattes with the label “vegan” can be perceived as a different product compared to normal lattes because it refers to lattes for another consumer group, vegans, that they do not belong to. Vegan certification work has been conducted to reduce the ambiguity of vegan-edible items around the world (e.g., UK: The Vegan Society; France: EVE VEGAN; Italy: Italian Vegetarian Association; South Korea: Korea Agency of Vegan Certification and Services). The findings of this study imply that vegan certifications increase not only vegans’ purchase intentions by telling them that certain products are clearly edible but also non-vegans’ purchase intentions by offering diverse options.

When the label “plant-based latte” was attached, reputational benefits were more readily perceived, but once they were perceived, the influence on purchase intention was higher when the label “vegan latte” was attached. In other words, when consuming a “vegan latte,” people do not recognize the reputational benefits relatively well, but once they recognize these, this leads to purchase intention; thus, they need signals that imply consuming this product can look good to others.

Among the control variables, preference for almonds positively affected purchase intentions for plant-based lattes regardless of label type, suggesting that purchase intentions may vary depending on the type of plant-based milk used in the latte. This means that research should be conducted to determine which types of plant-based milks consumers in each country prefer and use this as a guide when developing plant-based lattes. For example, Korean consumers are more familiar with soy milk and almond milk (Ha et al., 2023), so including them in a latte may increase their preference, whereas they are less familiar with oat milk, coconut milk, and macadamia milk (Ha et al., 2023), so including them in a latte may decrease their preference. Meanwhile, females were more likely to purchase vegan-labeled lattes, which supports previous research showing that men are less likely to choose vegan-labeled plant-based foods (Sleboda et al., 2024). Since male consumers do not perceive a vegetarian diet as “unmanly” because it has low in protein (Modlinska et al., 2020), it can be beneficial to advertise plant-based lattes with messages associating them with health benefits (Sleboda et al., 2024).

5.3. Limitations and future research

Although this study has presented significant implications for marketers and menu developers by finding factors affecting the purchase intention of a latte using alternative milk and examining the difference depending on the sustainability-related labels, it has several limitations. First, since this study was conducted through an online survey and plant-based lattes are still not common in South Korea, perceived taste through past experience was not considered. Therefore, future research may be conducted in countries where plant-based lattes are common, or may add perceived taste as a factor affecting purchase intention through sensory experiments. Second, due to the socio-cultural background mentioned in the research design, stimuli were limited to almond lattes. Future studies can examine changes in purchase intention depending on various types of stimuli. This means two types of product variations: one a latte with other plant-based milk (such as soy or oat), and another a different beverage using plant-based milk (other than a latte), such as a milk tea, a smoothie, or a frappuccino. Third, this study focused only on two labels, “plant-based” and “vegan,” but excluded the label “lactose free,” known to be an important attribute (McCarthy et al., 2017). We controlled the effect from this property in the regression model with lactose intolerance as a variable, but future studies can explore how the “lactose free” label influences intention to purchase a latte using alternative milk. Lastly, since this study was conducted with the online scenario-based experiment in one country, there are some limitations on external validity. To improve external validity, future studies need to prove the above factors influencing the purchase intention of vegan/plant-based lattes affect the purchase behavior in the real world through offline experiments, even though it has been proven for a long time through many studies that purchase intention has a significantly positive effect on purchase behavior (e.g., Fishbein and Ajzen, 2011; Lim et al., 2016; Son et al., 2013; Zhang and Zhang, 2007). In addition, it can be conducted in other countries for cross-cultural comparison. If the external validity increases in these ways, it will be used as more useful data for marketers and practitioners.

6. Conclusion

The present study aimed to find the factors affecting consumers’ intention to purchase plant-based/vegan lattes and to compare the associations between the factors and the purchase intentions depending on two labels, namely “vegan” and “plant-based.” Through an online survey with a between-subjects design and the two labels, we determined that perceived benefits have a positive and significant effect on purchase intention, but perceived barriers do not. In addition, the perceived benefits and preferences were higher when a “plant-based” label focusing on the presence of plant-based ingredients was shown than when a “vegan” label focusing on the absence of animal-based ingredients was shown. However, as far as the label “vegan” is concerned, even for non-vegan consumers, the higher their food curiosity, food snobbery, and food variety-seeking tendency, the higher their purchase intention. Therefore, vegan certifications can also work as a tool in marketing. This study suggests to menu developers and marketers what needs to be highlighted and which consumers to target to boost latte sales using plant-based milk. It also highlights the potential for labels to promote plant-based latte purchases, thus offering a strategy for changing consumer behavior.

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Appendix

Cronbach’s alpha, rho A, construct reliability (CR), and average variance extracted (AVE).
Table A1.

Cronbach’s alpha, rho A, construct reliability (CR), and average variance extracted (AVE).

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

Correlations of the latent variables and the square root of AVE.
Table A2.

Correlations of the latent variables and the square root of AVE.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

Items with statements used for each construct.
Items with statements used for each construct.
Table A3.

Items with statements used for each construct.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

Cross-loading in the vegan latte group.
Cross-loading in the vegan latte group.
Table A4.

Cross-loading in the vegan latte group.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

Cross-loading in the plant-based latte group.
Table A5.

Cross-loading in the plant-based latte group.

Citation: International Food and Agribusiness Management Review 27, 4 (2024) ; 10.22434/ifamr2023.0088

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