ArticlePDF Available

Abstract and Figures

Functional foods and drinks benefit human health beyond adequate nutritional effects. The rising popularity of functional beverages (FBs) is associated, among others, with their convenience and capacity to meet consumer needs. This research study aimed to explore the predictors of consumers’ intentions toward functional beverages FBs and develop guidelines for how producers and retailers could develop adequate strategies regarding the products. The online questionnaire survey examined consumers’ willingness to purchase (WTP) FBs in three categories: (i) yogurts, kefirs; (ii) isotonic, hypertonic, and hypotonic drinks; (iii) smoothie drinks, and fruit/vegetable cocktails. The questionnaire considered consumers’ values, attitudes, and intentions toward FBs. A four-stage hierarchical multiple regression was undertaken. Predictors of WTP products from the selected groups differed. Women were more willing to buy fruit and vegetable-based FBs than men. Reward from using functional foods was the strongest predictor of consumers’ WTP dairy FBs and sports drinks. We suggest conducting an experimental study in the future, which should allow us to best determine cause-and-effect relationships between values and attitudes and WTP FBs. Food habits are essential determinants of consumer intentions toward FBs; hence, we suggest promoting healthy nutrition habits within public–private partnerships. Retailers that offer health foods and employ societal retailing may disclose this information in sustainability reporting. The originality of this study resides in designing a model for assessing consumers’ attitudes and intentions toward FBs belonging to three selected categories. Previous studies were usually focused on the functional food market in Asian countries. We examined consumers’ WTP FBs in a European country.
Content may be subject to copyright.
Vol.: (0123456789)
Decision (September 2024) 51(3):321–337
https://doi.org/10.1007/s40622-024-00395-y
RESEARCH ARTICLE
Consumers’ attitudes andintentions towardfunctional
beverages: alesson forproducers andretailers
AleksandraKowalska · KrzysztofLeoniak ·
BartoszGrzegorzSołowiej
Accepted: 30 July 2024 / Published online: 20 August 2024
© The Author(s) 2024
more willing to buy fruit and vegetable-based FBs
than men. Reward from using functional foods was
the strongest predictor of consumers’ WTP dairy FBs
and sports drinks. We suggest conducting an experi-
mental study in the future, which should allow us to
best determine cause-and-effect relationships between
values and attitudes and WTP FBs. Food habits are
essential determinants of consumer intentions toward
FBs; hence, we suggest promoting healthy nutrition
habits within public–private partnerships. Retailers
that offer health foods and employ societal retailing
may disclose this information in sustainability report-
ing. The originality of this study resides in designing
a model for assessing consumers’ attitudes and inten-
tions toward FBs belonging to three selected catego-
ries. Previous studies were usually focused on the
functional food market in Asian countries. We exam-
ined consumers’ WTP FBs in a European country.
Keywords Functional food· Health claims·
Willingness to purchase· Marketing strategy·
Consumption
JEL Classification L66· D91· I12
Introduction
There is a close link, a feedback loop, or both between
food consumption and health. It is widely known that
a healthy diet and regular physical activity prevent
Abstract Functional foods and drinks benefit
human health beyond adequate nutritional effects.
The rising popularity of functional beverages (FBs)
is associated, among others, with their convenience
and capacity to meet consumer needs. This research
study aimed to explore the predictors of consum-
ers’ intentions toward functional beverages FBs and
develop guidelines for how producers and retailers
could develop adequate strategies regarding the prod-
ucts. The online questionnaire survey examined con-
sumers’ willingness to purchase (WTP) FBs in three
categories: (i) yogurts, kefirs; (ii) isotonic, hyper-
tonic, and hypotonic drinks; (iii) smoothie drinks,
and fruit/vegetable cocktails. The questionnaire
considered consumers’ values, attitudes, and inten-
tions toward FBs. A four-stage hierarchical multiple
regression was undertaken. Predictors of WTP prod-
ucts from the selected groups differed. Women were
A.Kowalska(*)
Institute ofEconomics andFinance, Maria Curie-
Skłodowska University, pl. Marii Curie-Skłodowskiej 5,
20-031Lublin, Poland
e-mail: aleksandra.kowalska@umcs.pl
K.Leoniak
Institute ofPsychology, Maria Curie-Skłodowska
University, ul. Głęboka 45, 20-612Lublin, Poland
B.G.Sołowiej
Department ofDairy Technology andFunctional Foods,
Faculty ofFood Sciences andBiotechnology, University
ofLife Sciences, ul. Skromna 8, 20-704Lublin, Poland
322
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
several lifestyle diseases, including diabetes, obesity,
heart disease, and cancer (Patwardhan and Parantha-
man 2021). Resource scarcity, environmental degra-
dation, biodiversity loss, and climate change reinforce
mutual problems. Furthermore, the food system influ-
ences and depends on the environment. Hence, the
health of humans cannot be isolated from the health
of ecosystems. The United Nations (UN) Decade of
Action on Nutrition 2016–2025 focuses on the trans-
formation of food systems to promote healthy diets
that are sustainably produced (Burlingame et al.
2022). The pandemic, emerging armed conflicts
worldwide, and the deteriorating economic situation
in many countries impede progress toward sustain-
able food systems and food and nutrition security.
However, the outbreak of the COVID-19 pandemic
has also led to a greater awareness of healthy diets
and food waste (O’Meara etal., 2022).
Functional food satisfactorily demonstrates to
have a beneficial effect on one or more target func-
tions in the body, beyond adequate nutritional effects,
in a way that is relevant to either an improved state
of physical, mental health, or both and well-being,
a reduction in disease risk, or both (Birch and Bon-
wick 2019). However, there is no universal definition
of functional food within the world: various countries
have adopted different concepts in terms of definition
and regulatory frameworks comprising the bioavaila-
bility of active ingredients, clinical effect, the permit-
ted nutrition, health claims, and other relevant vari-
ables (Birch and Bonwick 2019). The lack of clarity
on the definition has probably influenced consumer
preferences and behavior in the functional food mar-
ket and the efficiency of the marketing strategy devel-
oped by producers and retailers.
The first functional food regulation, called “foods
for specified health uses” (FOSHU), was introduced
in Japan in 1991 (Iwatani and Yamammoto, 2019).
A new Japanese system called “foods with func-
tion claims” has become more flexible than FOSHU
regarding health claims, the protocol for clinical
studies, and the required results in 2015. As a result,
functional food sales in Japan started to rise sharply
again (Iwatani and Yamamoto 2019). So far, a coher-
ent regulatory framework for functional food has
been lacking in the USA and the EU, but legislation
on nutrition and health claims has been developed.
As specified in Regulation (EC) No 1924/2006 on
nutrition and health claims made on foods, nutrition
claims refer to what a food "contains" (nutrients or
other substances) and "provides" (energy, caloric
value), and health claims refer to what a food "does"
in terms of human health. Three types of health
claims, i.e., “function health claims,” “risk reduction
claims,” and “claims referring to children’s devel-
opment,” are often used by producers of functional
foods.
Functional beverages (FBs) are a very heterogene-
ous category, and there is a lack of classification of
FBs in the literature. Therefore, we suggest dividing
FB’s category into two major sub-categories, i.e.,
non-dairy beverages (e.g., energy, isotonic, hyper-
tonic, hypotonic drinks, fortified bottled water, plant-
based probiotic beverages) and dairy beverages (e.g.,
fermented milk, yogurt). Sports drinks help people
rehydrate during or after exercise, replenish min-
erals lost during workouts, boost metabolism, and
generate energy (Dini 2019). Energy drinks stimu-
late action, strengthen the brain and body by provid-
ing instant energy, and improve cognitive responses
such as awareness and response swiftness. The point
is that the energizing effects of these beverages are
owed to caffeine or caffeine-adjacent ingredients
like L-theanine, which is not always good for health,
especially teenagers’ health. High sugar content is
another concern around energy drinks and some other
FBs. Plant-based probiotic beverages are cereal, fruit,
and vegetable based (Min et al. 2018). They have
health benefits similar to dairy probiotic beverages
(Wiśniewska etal. 2022), and they can be marketed
to consumers having lactose intolerance, milk pro-
tein allergy (Lillo-Pérez etal. 2021), problems with
cholesterol levels or too high body mass index (BMI),
vegans, and other consumers who avoid animal-based
products for various reasons.
The global market for functional foods and bev-
erages has grown in the twenty-first century and
reached USD 162 billion in 2018 (Alongi & Anese
2021). It was more than the world’s organic food
retail sales worth USD 115.3 billion in 2018 (FiBL
Statistics, 2022; NBP, 2022). The popularity of FBs
has been rapidly growing thanks to their convenience
and capacity to meet the consumers’ needs regarding
contents (including texture), size, shape, and appear-
ance, as well as more facilitated distribution and stor-
age (Corbo etal. 2014; Maleš et al. 2022). Consum-
ers’ increasing awareness of the benefits of healthy
eating should contribute to the further growth of the
323
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
functional food market. There are multiple reasons
for buying and consuming functional foods, drinks,
or both, and the findings are not always consistent.
Numerous studies show that functional food accept-
ance relates to consumer belief in its health benefits,
convenience, safety, sensory properties (hedonic and
utilitarian considerations), and consumer self-efficacy
(Chen 2011; Chang etal. 2020; Nystrand & Olsen
2020; Salleh and Noor 2018). The point is that most
of the authors have conducted their research surveys
among consumers from Asia, which can be because
Japan is the cradle of functional foods. Most of the
studies have referred to the whole category of func-
tional foods or the selected individual products, while
we have examined Polish consumers’ attitudes and
intentions toward functional beverages belonging
to one of the three selected categories (functional
yogurts, kefirs, or both; isotonic, hypertonic, hypo-
tonic drinks, or all; smoothie drinks, fruit/vegetable
cocktails). Identifying the differences in consumer
acceptance of these beverages is our contribution to
the literature and could support producers and retail-
ers in developing their marketing strategies. Fur-
thermore, it is crucial to conduct market research in
various contexts again and again since the market for
functional food and drink is growing fast (Alongi and
Anese 2021; Maleš etal. 2022) and, partly due to this,
consumer attitudes and intentions change over time.
Consumers may have some reservations about
mechanisms for the sustainability of FBs produc-
tion because these are often ultra-processed prod-
ucts, which are ready-to-eat industrially formulated
products that are made from substances derived from
foods and additives, with little if any intact unpro-
cessed or minimally processed foods (Braesco etal.
2022). Another issue is that liquids are typically con-
sumed quickly and have a low satiation/satiety value
(De Graaf 2012). Energy density and eating at a
faster rate have both been shown to increase energy
intake and promote increased body weight adiposity
in short-term and excessive body mass index (BMI)
in the long run (Teo etal. 2021), which is crucial at a
time when about 40% of adults are overweight glob-
ally, with an additional a dozen or so percent being
obese (WHO 2021). When considering the environ-
mental sustainability of FBs production, we have
decided to test the influence of green consumption
values of consumers on their willingness to purchase
FBs, which is the novelty of the research.
FBs permit to include desirable nutrients and
bioactive compounds, including vitamins, miner-
als, antioxidants, ω-3 fatty acids, plant extracts,
fiber, prebiotics, and probiotics, in order to preserve
human hydration and to have antiaging, energy-sup-
plying, relaxing, or beauty-enhancing effects as well
as potential health benefits (Dini 2019). Therefore,
FBs might be, in a simplified manner, called "health
drinks". We suppose that, in this context, the health
values of consumers, alongside other factors, deter-
mine their willingness to purchase FBs. This research
study aimed to explore the predictors of consumers’
intentions toward functional beverages and develop
guidelines for how producers and retailers could build
adequate strategies regarding the products covered.
The main research question is: Are there any com-
mon predictors of willingness to purchase dairy and
non-dairy FBs?
The key results of our research study include: (1)
food habits are critical factors influencing young
consumer choices on the FBs market in Poland; (2)
the set of predictors of WTP FBs belonging to three
selected categories was different and consisted of
both value and attitude variables; (3) the perceived
reward from using functional foods related to the
improvement in consumer health was a significant
predictor of willingness to purchase (WTP) all bev-
erages considered. Corporate social responsibility
appeal strategies could be appropriate for FBs since
their health benefits are a vital factor influencing con-
sumer choice.
The article is structured as follows: the second part
presents a review of the related concepts and intro-
duces the theoretical framework and hypotheses that
guide the research; the third part outlines the research
methodology, including scale design and data collec-
tion; the fourth part shows the in-depth analysis of
the results of the survey conducted among consum-
ers studying in Poland; sect. "Discussion" discusses
the results; and sect. "Conclusions" provides conclu-
sions, draws management implications, and high-
lights the main findings, which should be of value to
the interested producers and retailers. Limitations and
directions for future research are provided in the para-
graphpreceding sect. “Conclusions”.
324
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
Literature review andconceptual framework
Functional foods are also called “health foods” and
dietetic foods, food supplements, fortified foods,
nutraceuticals, and herbal products (Nasri etal. 2014;
Patwardhan and Paranthaman 2021). It could be stated
that "health foods" are known/proved to have physi-
ological benefits and the capacity to reduce the risk
of chronic diseases, delay the aging process, increase
life expectancy, or support the structure or function
of the body beyond essential nutritional functions. It
is worth mentioning that there are several pitfalls and
oversimplifications of the dichotomic classification
of foods into healthy and unhealthy products (Visioli
etal. 2022). Furthermore, foods and drinks might be
classified as relative vices (or “wants” or “unhealthy
foods”), relative virtues (or “shoulds” or “healthy
foods”), and neither vice nor virtue. “Wants” are
hedonic products that provide immediate pleasurable
experiences (e.g., melt-the-mouth chocolate truffles)
but contribute to adverse long-term outcomes (such
as gaining weight). “Shoulds” are less gratifying
and appealing in the short run but have less negative
long-term consequences than vices and, therefore, are
a more cautious choice (e.g., tomatoes) (Van Doorn
and Verhoef 2011).
Categorizing foods as healthy or unhealthy and
virtue versus vice may lead consumers to conflict
between achieving a taste or health goal in their pur-
chase decisions (Haws and Liu 2016). However, the
final purchase decision also depends on the individual
value placed on addressing taste versus health goals
(Liu et al. 2015). It is interesting to choose func-
tional foods because a vast amount of research has
established that consumers’ health orientation is a
primary driver of this choice (Topolska etal. 2021).
In particular, consumers with a higher level of con-
sideration for the health aspects of food are not only
more willing to consume functional foods but are also
willing to discard food characteristics such as taste or
price for the sake of its health attributes (e.g., Henson
et al. 2008; Moro et al., 2018; Verbeke, 2005). For
example, Chen (2011) revealed that the joint mod-
erator of health consciousness and a healthy lifestyle
impacted Taiwanese consumers’ willingness to use
functional foods, whereas healthy life-attentive (ver-
sus inattentive) groups of consumers had more posi-
tive attitudes toward functional foods. In the case of
functional beverages, Chang etal. (2020) found that
consumers who valued health, were health-oriented,
and were interested in healthy foods were most will-
ing to purchase them. On the other hand, this may
also vary across functional beverage categories, as
Jeżewska-Zychowicz (2009) showed that young Pol-
ish consumers with more positive attitudes toward
health are less willing to consume energy drinks.
In general, health values can be defined as the
extent to which a person cares about their health
status (Tudoran et al. 2009), a powerful motivator
of consumer behavior. From this perspective, buy-
ing functional foods could be viewed as a means to
attain healthiness (i.e., desirable end-state according
to health values), which could explain different con-
sumer preferences (Lusk and Briggeman 2009).
Therefore, we propose the following hypotheses:
H1. Consumers’ health values positively relate to
the willingness to purchase functional beverages of
the chosen categories.
Nevertheless, it has been found that beyond seek-
ing healthiness, other values may drive consumers
of functional foods; for example, they may relate to
food naturalness or food safety (Pappalardo and Lusk
2016). Much talk is about the growing tendency to
prioritize environmental outcomes via purchasing and
consumption behavior (Kowalska etal. 2021). Haws
etal. (2014) proved that a greater preference for green
products was related to consumers’ green consump-
tion values. Production and consumption of ultra-pro-
cessed food, including numerous FBs, are associated
with adverse sustainability outcomes through many
negative environmental impacts across food systems,
from sourcing ingredients to industrial processing
those inputs to then disposing of their waste (Burl-
ingame etal. 2022). However, using food industry by-
products, such as dietary fiber, to prepare functional
foods reduces economic and environmental produc-
tion costs and is embedded in the circular economy
concept (Capozzi 2022; Sharma etal. 2016). It is not
very easy to decide how environmentally sustainable
these particular FBs are. However, it is justified to
formulate the following hypotheses:
H2. Green consumption values positively relate to
consumers’ willingness to purchase functional bever-
ages of the chosen categories.
The continuing rise in popularity of health-pro-
moting functional foods can also be attributed to the
quick pace of technological development in the food
processing industry, which consists of the increasing
325
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
analytical capabilities (Sharma et al. 2016), three-
dimensional food printing (Kewuyemi et al. 2022),
etc.; and looking for nutrients that provide rapid sus-
tenance in circumstances where many people live
hectic lives. Using data collected via an online sur-
vey in France, Germany, Poland, Spain, and the UK,
Macready et al. (2020) observed quite a low level
of consumers’ confidence that currently used food
technologies are safe, healthy, and sustainable. Since
innovative processing technologies are essential for
developing novel functional foods and drinks (Gra-
nato etal., 2020), running safety tests of new ingredi-
ents and potential functional foods is essential to pro-
tect consumers’ interests. Food safety concerns might
be shaped by the fear of food hazards (generally and
specifically), food risk information acquisition (Ha
etal. 2019), innovative and/or untested food technolo-
gies. Corbo et al. (2014) pointed out that concerns
about FBs’ safety were raised. Hence, we propose the
following hypotheses:
H3. Food safety concern is positively related to the
consumer’s willingness to purchase functional bever-
ages of the chosen category.
It is well established that beyond consumers
health values, green consumption values, or food
safety concerns, another crucial predictor of func-
tional food buying behavior is consumer attitudes
(Baker etal. 2022; Bekoglu etal. 2016; Nystrand and
Olsen 2020; Topolska etal. 2021). However, attitudes
toward functional foods are shaped by a variety of
factors, starting with taste (or pleasure) perception
of functional foods, through to nutritional knowledge
or food neophobia, and ending with trust in the food
industry, social pressure, or perception of marketing
activities used for promoting functional foods (Baker
etal. 2022; Topolska etal. 2021). For these reasons,
researchers view attitudes toward functional foods
not only as a unidimensional construct (i.e., overall
“favorableness–unfavorableness” evaluation of an
object) but rather as an interplay of distinctive attitu-
dinal dimensions (i.e., addressing particular evalua-
tion aspect of an object) whose importance varies in
predicting consumer behavior across functional food
categories (Urala and Lähteenmäki 2007). Based on
a series of studies, Urala and Lähteenmäki (2003;
2004; 2007) established four unique (but complemen-
tary) attitudinal dimensions predicting willingness to
use functional foods: (1) perceived reward from using
functional foods; (2) necessity for functional foods;
(3) confidence in functional foods; and (4) safety of
functional foods.
As the strongest predictor of willingness to use
functional foods, perceived reward focuses on the
level of consumers’ personal pleasure and/or positive
consequences resulting from using functional foods.
Importantly, this dimension reflects not only consum-
ers’ perceptions of functional food’s health benefits
but, more precisely, the improvement in mood and
performance that results from using functional foods.
On the other hand, confidence in functional foods
regards the consumer’s level of trust in claims and
information about functional foods (and their bene-
fits). The necessity of the functional foods dimension
concerns the perception of these products as essential
for the particular consumer and people in general.
Lastly, the safety of functional foods concerns the
perception of possible nutritional risks when func-
tional foods are used (Urala and Lähteenmäki 2003;
2004; 2007).
Although previous studies unequivocally revealed
that consumers who score high on the dimensions
mentioned above are more willing to consume func-
tional foods (Jeżewska-Zychowicz 2009; Carrillo
etal. 2013; Bekoglu et al. 2016; Baker etal. 2022),
it is worth noticing that each dimension predicts
consumers’ evaluations differently depending on the
type of functional product. For example, Landström
etal. (2007) explored Swedish consumers’ perceived
need for functional foods (in general). Their results
revealed that although interviewees declared no need
for functional foods for themselves, they acknowl-
edged that these products are primarily for consum-
ers in real need (e.g., health related) when no other
lifestyle changes could improve a person’s health. On
the other hand, Jeżewska-Zychowicz (2009) predicted
Polish respondents’ willingness to buy different func-
tional food products and found that the necessity of
functional foods primarily affected the willingness
to consume probiotic yogurt. At the same time, the
surveyed students who were most willing to use the
yogurts and cholesterol-lowering spread expected
benefits/rewards from using functional foods to a
greater extent, whereas the willingness to use low-fat
mayonnaise was affected by the confidence in func-
tional foods and their safety. These examples show (in
line with the view of Urala and Lähteenmäki 2007)
that consumers see functional foods as a heteroge-
neous product group and, therefore, differ in how
326
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
attitude dimensions predict their usage. Thus, we
decided to explore further the importance of attitude
dimensions regarding functional beverages (as a dis-
tinctive sub-category of functional foods) and devel-
oped the following hypotheses:
H4. Rewards from using functional foods are
positively associated with a willingness to purchase
selected functional beverages.
H5. Necessity for functional foods is positively
associated with willingness to purchase selected func-
tional beverages.
H6. Confidence in functional foods is positively
associated with willingness to purchase selected func-
tional beverages.
H7. Attitude toward the safety of functional foods
is positively associated with willingness to purchase
selected functional beverages.Fig.1 presents a visual
representation of the conceptual model.
Materials andmethods
Participants
A total of 784 university students in Eastern Poland
voluntarily participated in this study. The partici-
pants’ age averaged 21.8, with a standard deviation of
3.4, and ranged between 18 and 49years. There was
a higher proportion of female students than male stu-
dents. It reflects what is currently observed in Poland,
as shown by Poland’s Central Statistical Office (Sta-
tistics Poland 2023). Moreover, gender disproportions
occur in general tertiary education across most mem-
ber nations in the Organization for Economic Co-
operation and Development (Stoet and Geary 2020).
Most participants enrolled in Bachelor’s degree pro-
grams; however, the sample also consisted of students
from Master’s and Long-cycle Master’s programs.
Participants came from majors associated with a
wide variety of science disciplines across five distinc-
tive fields of science (humanities, engineering, and
technology, medical and health sciences, social sci-
ences, and natural sciences), and this classification is
Fig.1 Full conceptual
model with hypotheses
explaining willingness
to purchase functional
beverages (ovals are latent
constructs—own graph)
327
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
specific to Polish higher education. We surveyed stu-
dents from various fields to gather data that were not
biased with the knowledge gained during the studies.
The frequency of sports activity among participants
varied; however, more than half of the sample (i.e.,
58%) declared attending sports activities from ’almost
regular” to “regular” (Table1).
Materials and procedure
The study was conducted as an online questionnaire
using a dedicated internet platform, Profitest®. Stu-
dents were asked to participate in the study voluntar-
ily via e-mail invitations from the university admin-
istration. After providing consent to participating in
the study, respondents were presented with detailed
instructions, which included a brief definition of func-
tional beverages (i.e., "Functional beverages belong
to a group of products that, in addition to their nutri-
tional value, benefit health, or reduce the risk of dis-
ease”). Participants were also asked to indicate how
often (never; several times a year; 1–3 times a month;
weekly; several times a week) they buy products of
a given sub-category: 1) functional yogurts, kefirs, or
both; 2) isotonic, hypertonic, hypotonic drinks, or all;
3) smoothie drinks, fruit/vegetable cocktails, or both.
In the following step, participants responded to
the questions. Most scale items were verified using
a 5-point Likert scale (1—strongly disagree to
5—strongly agree). Questionnaire items that were
used to measure constructs of interest in this study are
presented in Table2. The first three measured con-
structs regarding health values (HV), green consump-
tion values (GCV), and food safety concern (FSC).
Right after, attitude dimensions toward FBs were
measured [reward (REW), necessity (NES), confi-
dence (CON), and safety (SAF)]. Next, participants
indicated the extent to which they would be willing
to purchase products from each sub-category of FBs
(dependent variables). The survey items were usually
adapted from other studies (see Table2). Question-
naire items were translated into Polish and back-trans-
lated into English to reflect the original versions of
subsequent items adapted from the original sources.
Lastly, participants answered questions regarding
their demographic characteristics and provided infor-
mation about the study programs they were engaged
in. The questionnaire used only one open-ended
question regarding the participants’ field of study.
Respondents also provided declarations regarding
their frequency of engaging in sports activities. The
questionnaire included questions regarding partici-
pants’ native language and student status, which were
used to filter out possible non-student participants and
students whose native language differed from Polish.
Overall, the questionnaire consisted of 44 items.
Results
Before statistical analyses, post hoc power analyses
were conducted with a sample size of 784 using the
software package G*Power 3.1 (Faul etal. 2009). The
significance level used for this analysis was p < 0.05.
The post hoc analyses revealed that the statistical
power for this study was 0.78 for detecting a small
effect, whereas the power exceeded 0.99 for detect-
ing a moderate to large effect size. Thus, there was
adequate power (i.e., power 0.80) at the moderate to
significant effect size and almost adequate statisti-
cal power at the small effect size level (Cohen 1988;
Tabachnick and Fidell 2001). All of the following sta-
tistical analyses were performed with IBM® SPSS®
28.
The declarations of students regarding the fre-
quency of buying FBs belonging to the three ana-
lyzed categories differed (Table 3). The differences
in students’ declarative indications of buying each FB
Table 1 Participants’ demographic characteristics
Variable Category N (%)
Sex Male 235 (30%)
Female 549 (70%)
Studies program Bachelor 489 (62.4%)
Master’s 131 (16.7%)
Long-cycle Master’s 164 (20.9%)
Fields of sci-
ence related
to educational
program
Humanities 207 (26.4%)
Engineering and technology 146 (18.6%)
Medical and health sciences 71 (9.1%)
Social sciences 276 (35.2%)
Natural sciences 84 (10.7%)
Declared
frequency of
sports activity
(SA)
Never 39 (5%)
Seldom 253 (32.3%)
Irregular 37 (4.7%)
Almost regular 290 (37%)
Regular 165 (21%)
328
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
Table 2 Constructs and measuring items included in the questionnaire with reliability coefficients
Study measure (Reference) Measurement Item Cronbach’s α
Health values
(HV)
Chang etal. (2020)
1. I often think about my health .76
2. I think of myself as a person who is interested in
healthful food
3. Good health is important to me
Green consumption values
(GCV)
Haws etal. (2014)
1. It is important to me that the products I use do not
harm the environment
.86
2. I consider the potential environmental impact of my
actions when making many of my decisions
3. My purchase habits are affected by my concern for our
environment
4. I am concerned about wasting our planet’s resources
5. I would describe myself as environmentally responsible
6. I am willing to be inconvenienced in order to take
actions that are more environmentally friendly
Food safety concern
(FSC)
Talwar etal. (2021)
1. I am very concerned about the amount of artificial
additives and preservatives in food
.85
2. The quality and safety of food nowadays concerns me
Reward from using functional foods
(REW)
Urala & Lähteenmäki (2007)
1. Functional beverages help improve my mood .82
2. My performance improves when I drink functional
beverages
3. Functional beverages make it easier to follow a healthy
lifestyle
4. I can prevent disease by drinking functional beverages
regularly
5. Functional beverages can repair the damage caused by
an unhealthy diet
6. I am prepared to compromise on the taste of a drink if
the product is functional
Necessity for functional foods
(NEC)
Urala & Lähteenmäki (2007)
1. Functional beverages are completely unnecessary. (R) .73
2. Functional beverages are a total sham. (R)
3. The growing number of functional beverages on the
market is a bad trend for the future. (R)
4. For a healthy person, it is worthless to use functional
beverages. (R)
5. I only want to drink beverages that do not have any
medicine-like effects. (R)
Confidence in functional foods
(CON)
Urala & Lähteenmäki (2007)
1. Functional beverages promote my well-being .60
2. The safety of functional beverages has been very thor-
oughly studied
3. I believe that functional beverages fulfill their promises
Safety of functional foods
(SAF)
Urala & Lähteenmäki (2007)
1. If used in excess, functional beverages can harm human
health. (R)
.73
2. In some cases, functional beverages may harm healthy
people. (R)
3. Using functional beverages is completely safe
4. The new properties of functional beverages carry
unforeseen risks. (R)
329
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
sub-category were analyzed with univariate repeated
measures ANOVA. The FB sub-category was set as
a within-subject factor, whereas declarative purchase
frequency was set as a dependent variable. Results
showed a strong main effect of FBs sub-category,
F(2, 1566) = 244.88; p < 0.001; η2 = 0.24. Follow-
up post hoc analyses with a Bonferroni correction
revealed statistically significant differences between
each of the three FB sub-categories. In the acquired
student sample, functional yogurts, kefirs, or both
(M = 3.36) were bought more often than isotonic
drinks (M = 2.22) or smoothie drinks (M = 2.72).
Results also showed that isotonic, hypertonic, hypo-
tonic drinks, or all, were, on average, students’ least
often used products. It seems helpful for producers
and retailers who develop or re-think their marketing
strategy considering functional foods.
Before conducting hierarchical multiple regres-
sions, the relevant assumptions of these statistical
analyses were tested. An overview of the intercor-
relations, means, and standard deviations of the
variables used in this study is presented in Table4.
Within the sub-category of functional yogurts, kefirs,
or both, all of the predictors (SA, HV, GCV, FSC,
REV, NEC, CON, SAF, see Tables 2 and 4) were
significantly associated with willingness to purchase
the products (WTP yog), and these findings confirm
H1-7. Among predictors toward a willingness to buy
isotonic, hypertonic, hypotonic drinks, or all (WTP
iso), only HV, GCV, and FSC were not significantly
Note: (R)—reverse coded item
Table 2 (continued)
Study measure (Reference) Measurement Item Cronbach’s α
Willingness to purchase functional yogurts and/or kefirs
(WTP yog)
Kumar etal. (2023)
1. I intend to purchase functional yogurts and/or kefirs in
the future
.87
2. I am usually interested in buying functional yogurts
and/or kefirs
3. I always intend to look for functional yogurts and/or
kefirs, even though it is inconvenient
Willingness to purchase isotonic, hypertonic, and/or
hypotonic drinks
(WTP iso)
Kumar etal. (2023)
1. I intend to purchase isotonic, hypertonic, and/or hypo-
tonic drinks in the future
.86
2. I am usually interested in buying isotonic, hypertonic,
and/or hypotonic drinks
3. I always intend to look for isotonic, hypertonic, and/or
hypotonic drinks, even though it is not convenient
Willingness to purchase smoothies and/or fruit/vegetable
cocktails
(WTP smo)
Kumar etal. (2023)
1. I intend to purchase smoothies/fruit or vegetable cock-
tails in the future
.85
2. I am usually interested in buying smoothies/fruit or
vegetable cocktails
3. I always intend to look for smoothies/fruit or vegetable
cocktails, even though it is inconvenient
Table 3 Declared
frequency of purchasing
functional beverages in the
research sample (n = 784)
Category Yogurts and/or
kefirs N (%)
Isotonic, hypertonic, and/
or hypotonic drinks N (%)
Smoothie drinks and/or
fruit/vegetable cocktails
N (%)
Never 55 (7%) 244 (31.1%) 69 (8.8%)
Several times a year 158 (20.2%) 277 (35.3%) 296 (37.8%)
1–3times a month 221 (28.2%) 151 (19.3%) 261 (33.3%)
Weekly 151 (19.3%) 67 (8.5%) 101 (12.9%)
Several times a week 199 (25.4%) 45 (5.7%) 57 (7.3%)
M(SD) 3.36 (1.25) 2.22 (1.15) 2.72 (1.04)
330
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
Table 4 Descriptive statistics and intercorrelations
WTP yog willingness to purchase yogurts and other functional dairy drinks, WTP iso willingness to purchase isotonic and other sports drinks, WTP smo willingness to purchase
smoothie and other fruit/vegetable drinks, SA sports activity, HV health values, GCV green consumption values, FSC food safety concern, REW reward from using functional
food, NEC necessity of using functional food, CON confidence in functional foods, SAF safety of functional foods, USE yog previous buying frequency of yoghurts, etc., USE iso
previous buying frequency of isotonic drinks, etc., USE smo previous buying frequency of smoothie, etc. The word USE codes the consumption; such an approach comes from the
term "use-by date."
*p < .05, **p < .01, ***p < .001
n = 784 M SD 1 2 3 4 5 6 7 8 9 10 11 12 13
1. WTP yog 3.26 0.95
2. WTP iso 2.57 0.96 .27***
3. WTP smo 3.26 0.95 .36*** .19***
4. SA 3.37 1.26 .22*** .17*** .04
5. HV 3.78 0.72 .27*** .01 .20*** .27***
6. GCV 3.52 0.69 .17*** − 03 .28*** .01 .28***
7. FSC 3.95 0.87 .18*** − 02 .23*** .07* .30*** .28***
8. REW 2.87 0.70 .34*** .45*** .19*** .10** .12*** .14*** .13***
9. NEC 3.34 0.58 .18*** .37*** .05 .05 − 04 − 01 − 09** .48***
10. CON 3.03 0.55 .25*** .45*** .17*** .09** .09** .07* − 03 .59*** .46***
11. SAF 2.53 0.56 .06* .16*** .04 − 08* − 08* .01 − 07* .23*** .27*** .30***
12. USE yog 3.36 1.25 .58*** .18*** .21*** .28*** − 002 − 07* − 01 .26*** .24*** .27*** .03
13. USE iso 2.22 1.15 .16*** .69*** .05 .21*** − 002 − 07* − 01 .26*** .24*** .27*** .03 .23***
14. USE smo 2.72 1.04 .20*** .06 .56*** .12*** .23*** .19*** .20*** .10** .06 .09** − 04 .29*** .12***
331
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
associated with WTP iso, and this confirms H4-7.
There was a statistically significant relationship
between most of the selected value and attitude vari-
ables and the willingness to buy a product from the
category of smoothie drinks and/or fruit/vegetable
cocktails (WTP smo). No significant association was
identified between SA and WTP iso. There was also
no relationship between the two attitude dimensions
and WTP iso (i.e., NEC and WTP iso; SAF and WTP
iso) (Table4), confirming H5 and H7. Despite having
insignificant correlations between particular predic-
tors and dependent variables, they were not dropped
from subsequent hierarchical multiple regression
analyses (Thompson and Levine 1997). Descriptive
statistics and intercorrelations also revealed that some
of the predictors were correlated with each other.
However, an examination of the collinearity statis-
tics revealed that each predictor fell within acceptable
boundaries of tolerance (> 0.20) and the VIF coef-
ficient (< 5.0), ruling out potential multicollinearity
problems (O’Brien 2007).
Predicting willingness to purchase functional yogurts
and/or kefirs
A four-stage hierarchical multiple regression was
conducted with WTP yog as the dependent variable
(Table 5). Participants’ sex and declared frequency
of sports activity were entered at stage one of the
regression, which served as a baseline model. Results
show that only sports activity is a significant predic-
tor, explaining 5% of the variance in WTP yog, F(2,
781) = 20.75, p < 0.001, adjR2 = 0.05. Introducing
the health values (HV), green consumption values
(GCV), as well as food safety concern (FSC) in the
second step explained an additional 7% of the vari-
ation in the dependent variable, F(3, 778) = 19.91,
p < 0.001, adjR2 = 0.11. The third step tested whether
attitudes toward FBs explain any additional vari-
ance while controlling for predictors entered in pre-
vious steps. Inspection of beta weights revealed that
among attitude variables, only reward from using
functional foods (REW) was a statistically signifi-
cant predictor, explaining an additional 8% of the
variance in the dependent variable, F(4, 774) = 20.37,
p < 0.001, adjR2 = 0.19. Finally, the addition (step 4)
of declared frequency of buying functional yogurts,
kefirs, or both (USE yog) explained on a statistically
significant level an additional 22% of the variance,
F(1, 773) = 286.13, p < 0.001, adjR2 = 0.41.
Predicting willingness to purchase smoothie drinks
and/or fruit/vegetable cocktails
A four-stage hierarchical multiple regression was
conducted with WTP smo (Table 6). Participants’
sex and declared frequency of physical activity (SA)
were entered at stage one of the regression, serving
as a baseline model. Results show that both vari-
ables are significant predictors, explaining 12% of the
variance in WTP smo, F(2, 781) = 53.75, p < 0.001,
adjR2 = 0.12. Introducing the health values (HV),
green consumption values (GCV) as well as food
safety concern (FSC) in the second step explained an
additional 6% of the variation in the dependent vari-
able, F(3, 778) = 17.83, p < 0.001, adjR2 = 0.17. The
third step tested whether attitudes toward FBs explain
any additional variance while controlling for pre-
dictors entered in previous steps. Inspection of beta
weights revealed that among attitude dimensions,
only reward from using functional foods (REW) and
confidence in functional foods (CON) are statistically
significant predictors, explaining an additional 3% of
Table 5 Hierarchical regression analysis for variables predict-
ing willingness to purchase functional yogurts and/or kefirs
The dependent variable is a willingness to purchase functional
yogurts and/or kefirs (WTP yog). Entries are standardized beta
coefficients; sex was coded as: 1—male, 2—female
*p < .05, **p < .01, ***p < .001
Independ-
ent vari-
ables
Step 1 (β) Step 2 (β) Step 3 (β) Step 4 (β)
Sex 0.04 − 0.04 − 0.02 0.001
SA 0.23*** 0.16*** 0.14*** 0.04
HV 0.18*** 0.16*** 0.05
GCV 0.10** 0.07 0.07*
FSC 0.10** 0.09* 0.09**
REW 0.22*** 0.14***
NEC 0.04 0.06
CON 0.07 0.05
SAF 0.004 0.03
USE yog 0.51***
adj R20.05 0.11 0.19 0.41
ΔR2 0.07 0.08 0.22
Fchange 20.75*** 19.91*** 20.37*** 286.13***
332
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
the variance in WTP smo, F(4, 774) = 8.10, p < 0.001,
adjR2 = 0.20. Finally, the addition (step 4) of declared
frequency of buying smoothies and other fruit/vegeta-
ble drinks (USE smo) explained on a statistically sig-
nificant level an additional 20% of the variance, F(1,
773) = 256,39, p < 0.001, adjR2 = 0.40.
Predicting willingness to purchase isotonic,
hypertonic, and/or hypotonic drinks
A four-stage hierarchical multiple regression was
conducted with willingness to purchase isotonic,
hypertonic, hypotonic drinks, or all (WTP iso) as the
dependent variable (Table 7). Participants’ sex and
declared frequency of physical activity (SA) were
entered at stage one of the regression, serving as a
baseline model. Results show that both variables are
significant predictors, explaining 3% of the variance
in WTP iso, F(2, 781) = 13.99, p < 0.001, adjR = 0.03.
Introducing health values, green consumption values
as well as food safety concerns (HV, GCV, FSC) in
the second step did not explain any additional vari-
ation in the dependent variable, F(3, 778) = 19.91,
p = 0.89, adjR2 = 0.03. The third step tested whether
attitudes toward FBs explain any additional variance
while controlling for predictors entered in previous
steps. All attitude dimensions except the safety of
functional foods are statistically significant predic-
tors, explaining an additional 26% variance in will-
ingness to purchase, F(4, 774) = 70.57, p < 0.001,
adjR2 = 0.28. Finally, the addition (step 4) of declared
frequency of buying isotonic drinks explained on a
statistically significant level an additional 30% of the
variance, F(1, 773) = 559.79, p < 0.001, adjR2 = 0.58.
Discussion
The results of our research showed that the set of
predictors of willingness to purchase functional
Table 6 Hierarchical
regression analysis for
variables predicting
willingness to purchase
smoothie drinks and/or
fruit/vegetable cocktails
The dependent variable is
a willingness to purchase
functional smoothie
drinks and/or fruit/
vegetable cocktails. Entries
are standardized beta
coefficients; sex was coded
as: 1–male, 2–female
*p < .05, **p < .01,
***p < .001
Independent variable Step 1 (β) Step 2 (β) Step 3 (β) Step 4 (β)
Sex 0.35*** 0.26*** 0.28*** 0.20***
SA 0.07* 0.03 0.02 − 0.02
HV 0.08* 0.07 0.01
GCV 0.16*** 0.14*** 0.10***
FSV 0.10** 0.10** 0.05
REW 0.10* 0.10**
NEC − 0.03 − 0.05
CON 0.12** 0.08*
SAF 0.01 0.03
USE smo 0.47***
adjR20.12 0.17 0.20 0.40
ΔR2 0.06 0.03 0.20
Fchange 53.75*** 17.83*** 8.10*** 256.39***
Table 7. Willingness to purchase isotonic, hypertonic, and/or
hypotonic drinks
The dependent variable is a willingness to purchase isotonic,
hypertonic, and/or hypotonic drinks. Entries are standardized
beta coefficients; Sex was coded as: 1–male, 2–female
*p < .05, **p < .01, ***p < .001
Independ-
ent vari-
ables
Step 1 (β) Step 2 (β) Step 3 (β) Step 4 (β)
Sex − 0.08* − 0.07 − 0.04 0.08**
SA 0.16*** 0.17*** 0.12*** 0.03
HV − 0.03 − 0.05 − 0.02
GCV − 0.03
FSC − 0.01 − 0.002 − 0.02
REW 0.25*** 0.18***
NEC 0.14*** 0.07*
CON 0.23*** 0.14***
SAF 0.004 0.04
USE iso 0.60***
adj R2 0.03 0.03 0.28 0.58
ΔR2 0.001 0.26 0.30
Fchange 13.99*** 0.21 70.57*** 559.79***
333
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
beverages belonging to three selected categories was
different and consisted of both value and attitude vari-
ables, i.e.,
WTP yog was mainly determined by (1) reward
from using functional foods, (2) green consumption
values, and (3) food safety concerns; WTP smo was
determined by (1) sex, (2) green consumption values,
(3) reward from using functional foods, (4) confi-
dence in functional foods; WTP iso was mainly deter-
mined by the following attitudes: (1) reward from
using functional foods, (2) the necessity of using
functional foods, and (3) confidence in functional
foods.
Reward from using functional foods, mainly asso-
ciated with their health benefits (see Table2), was a
significant predictor of WTP functional beverages in
each selected category. This finding is in line with
the results of the survey conducted in Germany and
China by Siegrist et al. (2015). It can be assumed
that health motivations are related to WTP functional
foods regardless of the consumer’s cultural back-
ground, and this point should be taken into account by
both marketers and retailers in developed countries.
Our findings regarding the role of reward from
using functional foods in shaping consumer inten-
tions toward FBs confirmed the results of research
conducted by Urala and Lähteenmäki (2007), and this
is the answer to the main research question. Perceived
reward from consuming functional foods, which
reflected the perceived effect of food consumption
on health, mood, and performance, was the strongest
predictor of WTP dairy beverages and sports drinks.
It is the contribution of our study to the literature.
The expected rewards from using FBs, which include
health protection and promotion, disease prevention,
well-being, good performance and mood, and great
taste, might be used for marketing and communicat-
ing messages.
Our survey showed that women were more willing
to buy smoothie drinks and fruit/vegetable cocktails
than men, which is new in the literature on consumer
behavior. Marketers could take into account this new
finding. However, sales and marketing staff should
be inclusive and respectful in their advertising and
marketing campaigns because European societies are
increasingly diverse. It requires the ability to reach
consumers from different social groups and cultures.
Another common predictor of WTP yog, WTP
smo, and WTP iso was the former buying frequency
of a product, which answers the main research ques-
tion and contributes to the literature on functional
foods consumption. This factor exerted a somewhat
more substantial impact on WTP. Thus, food habits
are critical determinants of young consumer choices
in the FBs market in Poland. We suggest continu-
ously educating young consumers by promoting
healthy nutrition habits through dedicated mobile
applications run by retailers. It is crucial to increase
the nutrition literacy of young adults since it has been
proved before that nutrition literacy influences their
healthy food selection, preparation, and consumption
(Kalkan 2019). Another idea is to develop applica-
tions within public–private partnerships (PPPs) devel-
oped by producers, retailers, state bodies, NGOs, etc.
Effective PPPs would allow sharing resources and
ideas and reach a wider audience so activities can
be undertaken on a larger scale than individual ini-
tiatives (Hernandez-Aguado and Zaragoza, 2016;
Kowalska and Manning 2022). It is imperative when
young people face the global pandemic of overweight
and obesity.
We are aware that the list of predictors explored
is not exhaustive. The differences in WTP products
from specific categories might have been caused
by various properties of the products and different
characteristics of consumers for whom they were
addressed. Another thing is that there might have
been a moderating role of selling cues on consum-
ers’ purchase intentions, as was previously explored
by Das etal. (2018). Smoothie drinks, fruit/vegetable
cocktails, or both are perceived as hedonic products
where the scarcity cue encourages consumers to buy
the product. In contrast, functional yogurts, kefirs, or
both are probably more often perceived as utilitarian
products where the popularity cue enhances consum-
ers’ purchase intentions. However, further studies are
needed to confirm this. Retailers also promote FB
aesthetics (Lin and Chang 2021) and create product
displays for certain functional foods, which might be
another moderating factor for consumer choices.
The FBs’ characteristics support the view that
they are virtue products but also have some features
of vice goods. FBs might be perceived as produc-
ers and retailers to make an appeal that potentially
performs better. It seems that functional corporate
social responsibility appeals (CSRAs) are appropri-
ate for FBs as virtue products, but symbolic CSRAs
might also be used in the case of FBs, which have
334
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
the characteristics of vice products. Since FBs are
to improve both the physical and mental health and
well-being of users, CSRA marketing, which is a
form of societal retailing, could be the way to com-
bine the interests of consumers, producers, sellers,
society, and the state (Choi etal. 2023). We believe
that offering healthy food and employing societal
retailing might contribute to achieving the UN Sus-
tainable Development Goals. It may be a part of sus-
tainability information about the retailers’ business
activities.
Limitations and future research
One of the limitations of our study is that we did not
assess consumers’ knowledge about the benefits and
risks associated with using FBs because we tried to
prevent excessive cognitive load on respondents when
completing the survey, which could otherwise affect
the data quality. Furthermore, the convenience sam-
pling approach was used, which means we cannot
be sure if our sample is representative, even if it is
big enough. Hence, we suggest conducting a similar
research based on probability sampling among con-
sumers from Poland and other European countries.
One of the limitations of our study is a lack of con-
fidence in the generalizability of the study’s findings.
Another point is that we asked the participants about
their biological sex. Future studies could be more
gender inclusive. We suggest conducting an experi-
mental study in the future which should allow us to
best determine cause-and-effect relationships between
values and attitudes and WTP FBs, as well as pos-
sibly other variables (e.g., information provided on
various FBs’ packaging). The authors of future ques-
tionnaire surveys, experimental studies, or both could
consider FBs’ brands and different sales channels
through which functional food is retailed.
Conclusions
Exploring consumers’ attitudes and behaviors lets
retailers build an efficient marketing communica-
tion strategy for FBs. The originality of this study
resides in designing a model for assessing consum-
ers’ attitudes and intentions toward FBs. Most of
the surveys conducted before were focused on the
functional food market. In this case, we examined
consumers’ willingness to purchase functional
drinks. Furthermore, we have divided the beverages
into three product groups and found common and
different issues related to the product categories,
which might be the lesson learned from this study.
The result of the study, which showed that sports
drinks were, on average, the least often used type of
product by students, might be helpful for producers
and retailers who decide which market segment they
should choose for their FBs and how to get there. It
is also vital information for those deciding on the
design and functionality of FB packaging.
On the one hand, it can be concluded that there
is no point in developing one common strategy for
all types of FBs since there are different predic-
tors explaining consumers’ WTP various functional
drinks; however, CSRA marketing seems to be
the right common approach for most FBs. Defin-
ing functional food in the EU legislation would be
a step forward in building effective retail strategies
regarding this group of food products as a whole,
given that FBs share some features and there are
common predictors of consumers’ WTP the prod-
ucts (such as food habits and expected reward from
using functional foods). Since young adults (includ-
ing students) are highly nutritionally vulnerable,
providing them with an attentive food education is
crucial to making them food and nutrition literate
and improving their dietary habits. Food retailers
have a role here because of their strong position in
the global market.
Acknowledgements Not applicable
Author contributions Conceptualization was performed
by AK, KL, BS; data curation by KL; formal analysis by
KL; funding acquisition by AK; investigation by AK, KL,
BS; methodology by AK, KL; project administration by AK;
resources by AK, KL, BS; software by KL; supervision by AK,
BS; validation by KL; visualization by KL; roles/writing—
original draft—by AK, KL; and writing—review & editing—
by AK, KL, BS.
Funding This study was funded by the Lublin Universities
Association (Związek Uczelni Lubelskich) under the ”Staż za
Miedzą” Program.
Data Availability The data that support the findings of this
study are available from the corresponding author upon reason-
able request.
Declarations
335
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
Conflict of interest All authors certify that they have no af-
filiations with or involvement in any organization or entity with
any financial interest or non-financial interest in the subject mat-
ter or materials discussed in this manuscript.
Ethical approval The questionnaire and methodology for this
study was approved by the ethics committee from Maria Curie-
Sklodowska University in Lublin, Poland (Reference number
3/2023, dtd 03/22/2023).
Open Access This article is licensed under a Creative
Commons Attribution 4.0 International License, which permits
use, sharing, adaptation, distribution and reproduction in any
medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative
Commons licence, and indicate if changes were made. The
images or other third party material in this article are included
in the article’s Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not
included in the article’s Creative Commons licence and your
intended use is not permitted by statutory regulation or exceeds
the permitted use, you will need to obtain permission directly
from the copyright holder. To view a copy of this licence, visit
http://creativecommons.org/licenses/by/4.0/.
References
Alongi M, Anese M (2021) Re-thinking functional food
development through a holistic approach. J Funct Foods
81:104466. https:// doi. org/ 10. 1016/j. jff. 2021. 104466
Baker MT, Lu P, Parrella JA, Leggette HR (2022) Consumer
acceptance toward functional foods: a scoping review. Int
J Environ Res Public Health 19(3):1217. https:// doi. org/
10. 3390/ ijerp h1903 1217
Bekoglu F, Ergen A, Inci B (2016) The impact of attitude, con-
sumer innovativeness and interpersonal influence on func-
tional food consumption. Int Bus Res 9(4):79–87. https://
doi. org/ 10. 5539/ ibr. v9n4p 79
Birch CS, Bonwick GA (2019) Ensuring the future of func-
tional foods. Int J Food Sci Technol 54:1467–1485.
https:// doi. org/ 10. 1111/ ijfs. 14060
Braesco V, Souchon I, Sauvant P, Haurogné T, Maillot M,
Féart C, Darmon N (2022) Ultra-processed foods: how
functional is the NOVA system? Eur J Clin Nutr 76:1245–
1253. https:// doi. org/ 10. 1038/ s41430- 022- 01099-1
Burlingame B, Lawrence M, Macdiarmid J, Dernini S, Oenema
S (2022) IUNS task force on sustainable diets—Link-
ing nutrition and food systems. Trends Food Sci Technol
130:42–50. https:// doi. org/ 10. 1016/j. tifs. 2022. 09. 007
Capozzi F (2022) Food Innovation in the frame of circular
economy by designing ultra-processed foods optimized
for sustainable nutrition. Front Nutr 9:886220. https:// doi.
org/ 10. 3389/ fnut. 2022. 886220
Carrillo E, Prado-Gascó V, Fiszman S, Varela P (2013) Why
buying functional foods? understanding spending behav-
iour through structural equation modelling. Food Res Int
50(1):361–368. https:// doi. org/ 10. 1016/j. foodr es. 2012. 10.
045
Chang HP, Ma CC, Chen HS (2020) The impacts of young con-
sumers’ health values on functional beverages purchase
intentions. Int J Environ Res Public Health 17(10):3479.
https:// doi. org/ 10. 3390/ ijerp h1710 3479
Chen M-F (2011) The joint moderating effect of health con-
sciousness and healthy lifestyle on consumers’ willingness
to use functional foods in Taiwan. Appetite 57(1):253–
262. https:// doi. org/ 10. 1016/j. appet. 2011. 05. 305
Choi S, Duhan DF, Dass M (2023) The influence of corporate
social responsibility appeals (CSRAs) on product sales:
which appeal types perform better? J Retail 99(1):115–
135. https:// doi. org/ 10. 1016/j. jretai. 2022. 12. 001
Cohen J (1988) Statistical power analysis for the behavioral
sciences. Lawrence Erlbaum Associates, Hillsdale
Corbo MR, Bevilacqua A, Petruzzi L, Casanova FP, Sini-
gaglia M (2014) Functional beverages: the emerging
side of functional foods commercial trends, research,
and health implications. Compr Rev Food Sci Food
Saf 13:1192–1206. https:// doi. org/ 10. 1111/ 1541- 4337.
12109
Das G, Mukherjee A, Smith RJ (2018) The perfect fit: the
moderating role of selling cues on hedonic and utilitarian
product types. J Retail 94(2):203–216. https:// doi. org/ 10.
1016/j. jretai. 2017. 12. 002
De Graaf C (2012) Texture and satiation: the role of oro-sen-
sory exposure time. Phys Behav 107(4):496–501. https://
doi. org/ 10. 1016/j. physb eh. 2012. 05. 008
Dini I (2019) An overview of functional beverages. In:
Grumezescu AM, Holban AM (eds) functional and medic-
inal beverages. Woodhead Publishing, Delhi, pp 1–40
Faul F, Erdfelder E, Buchner A, Lang A (2009) Statistical
power analyses using G*Power 3.1: tests for correlation
and regression analyses. Behav Res Meth 41(4):1149–
1160. https:// doi. org/ 10. 3758/ BRM. 41.4. 1149
Granato D, Barba FJ, Bursać Kovačević D, Lorenzo JM, Cruz
AG, Putnik P (2020) Functional Foods: Product Develop-
ment, Technological Trends, Efficacy Testing, and Safety.
Annu Rev Food Sci Technol 11:93–118. https:// doi. org/
10. 1146/ annur ev- food- 032519- 051708
Ha TM, Shakur S, Do KHP (2019) Consumer concern about
food safety in Hanoi. Vietnam Food Control 98:238–244.
https:// doi. org/ 10. 1016/j. foodc ont. 2018. 11. 031
Haws KL, Liu PJ (2016) Combining food type(s) and food
quantity choice in a new food choice paradigm based on
vice-virtue bundles. Appetite 103:441–449. https:// doi.
org/ 10. 1016/j. appet. 2015. 11. 012
Haws KL, Winterich KP, Naylor RW (2014) Seeing the world
through GREEN-tinted glasses: green consumption val-
ues and responses to environmentally friendly products. J
Consum Psys 24:336–354. https:// doi. org/ 10. 1016/j. jcps.
2013. 11. 002
Henson S, Masakure O, Cranfield J (2008) The propensity for
consumers to offset health risks through the use of func-
tional foods and nutraceuticals: the case of lycopene. Food
Qual Prefer 19(4):395–406. https:// doi. org/ 10. 1016/j.
foodq ual. 2007. 12. 001
Iwatani S, Yamamoto N (2019) Functional food products in
Japan: a review. Food Sci Human Well 8(2):96–101.
https:// doi. org/ 10. 1016/j. fshw. 2019. 03. 011
336
Decision (September 2024) 51(3):321–337
Vol:. (1234567890)
Jeżewska-Zychowicz M (2009) Impact of beliefs and attitudes
on young consumers’ willingness to use functional food.
Pol J Food Nutr Sci 59(2):183–187
Kalkan I (2019) The impact of nutrition literacy on the food
habits among young adults in Turkey. Nurs Res Pract
13(4):352–357. https:// doi. org/ 10. 4162/ nrp. 2019. 13.4. 352
Kewuyemi YO, Kesa H, Adebo OA (2022) Trends in func-
tional food development with three-dimensional (3D)
food printing technology: prospects for value-added tradi-
tionally processed food products. Crit Rev Food Sci Nutr
62(28):7866–7904. https:// doi. org/ 10. 1080/ 10408 398.
2021. 19205 69
Kowalska A, Manning L (2022) Food Safety governance and
guardianship: the role of the private sector in addressing
the eu ethylene oxide incident. Foods 11(2):204. https://
doi. org/ 10. 3390/ foods 11020 204
Kowalska A, Ratajczyk M, Manning L, Bieniek M, Mącik R
(2021) “Young and Green” a study of consumers’ percep-
tions and reported purchasing behaviour towards organic
food in Poland and the United Kingdom. Sustainability
13(23):13022. https:// doi. org/ 10. 3390/ su132 313022
Kumar S, Gupta K, Kumar A, Singh A, Singh RK (2023)
Applying the theory of reasoned action to examine con-
sumers’ attitude and willingness to purchase organic
foods. Int J Consum Stud 47(1):118–135. https:// doi. org/
10. 1111/ ijcs. 12812
Landström E, Hursti UKK, Becker W, Magnusson M (2007)
Use of functional foods among Swedish consumers is
related to health-consciousness and perceived effect. Br
J Nutr 98(5):1058–1069. https:// doi. org/ 10. 1017/ S0007
11450 77617 80
Lillo-Pérez S, Guerra-Valle M, Orellana-Palma P, Petzold G
(2021) Probiotics in fruit and vegetable matrices: opportu-
nities for non-dairy consumers. LWT 151:112106. https://
doi. org/ 10. 1016/j. lwt. 2021. 112106
Lin Y-C, Chang C-CA (2021) Influencing consumer responses
to highly aesthetic products: the role of mindsets. J Retail
97(3):459–476. https:// doi. org/ 10. 1016/j. jretai. 2020. 10.
004
Liu PJ, Haws KL, Lamberton C, Campbell TH, Fitzsimons GJ
(2015) Vice-virtue bundles. Manage Sci 61(1):204–228.
https:// doi. org/ 10. 1287/ mnsc. 2014. 2053
Lusk J, Briggeman BC (2009) Food values. Am J Agr Econ
91(1):184–196. https:// doi. org/ 10. 1111/j. 1467- 8276. 2008.
01175.x
Macready AL, Hieke S, Klimczuk-Kochańska M, Szumiał S,
Vranken L, Grunert KG (2020) Consumer trust in the
food value chain and its impact on consumer confidence:
a model for assessing consumer trust and evidence from
a 5-country study in Europe. Food Policy 92:101880.
https:// doi. org/ 10. 1016/j. foodp ol. 2020. 101880
Maleš I, Pedisić S, Zorić Z, Elez-Garofulić I, Repajić M, You
L, Vladimir-Knežević S, Butorac D, Dragović-Uzelac
V (2022) The medicinal and aromatic plants as ingre-
dients in functional beverage production. J Fun Foods
96:105210. https:// doi. org/ 10. 1016/j. jff. 2022. 105210
Min M, Bunt CR, Mason SL, Hussain MA (2018) Non-dairy
probiotic food products: An emerging group of functional
foods. Crit Rev Food Sci Nutr 59(16):2626–2641. https://
doi. org/ 10. 1080/ 10408 398. 2018. 14627 60
Moro D, Veneziani M, Sckokai P, Castellari E (2014) Con-
sumer willingness to pay for catechinenriched yogurt:
evidence from a stated choice experiment. Agribusiness
31(2):243–258. https:// doi. org/ 10. 1002/ agr. 21401
Nasri H, Baradaran A, Shirzad H, Rafieian-Kopaei M (2014)
New concepts in nutraceuticals as alternative for pharma-
ceuticals. Int J Prev Med 5(12):1487–1499
Nystrand BT, Olsen SO (2020) Consumers’ attitudes and inten-
tions toward consuming functional foods in Norway. Food
Qual Prefer 80:103827. https:// doi. org/ 10. 1016/j. foodq ual.
2019. 103827
O’Brien RM (2007) A caution regarding rules of thumb for
variance inflation factors. Qual Quant 41(5):673–690.
https:// doi. org/ 10. 1007/ s11135- 006- 9018-6
O’Meara L, Turner C, Coitinho DC, Oenema S (2022)
Consumer experiences of food environments during
the Covid-19 pandemic: global insights from a rapid
online survey of individuals from 119 countries. Glob
Food Sec 32:100594. https:// doi. org/ 10. 1016/j. gfs. 2021.
100594
Pappalardo G, Lusk JL (2016) The role of beliefs in purchas-
ing process of functional foods. Food Qual Prefer 53:151–
158. https:// doi. org/ 10. 1016/j. foodq ual. 2016. 06. 009
Patwardhan B, Paranthaman BS (2021) Nutrition, food and
global health. J Ayurveda Int Med 12(4):577–578. https://
doi. org/ 10. 1016/j. jaim. 2021. 11. 003
Polish Act of August 17, 2023 amending the Public Health Act
and certain other acts (Dz.U.2023.1718)
Regulation (EC) No 1924/2006 of the European Parliament
and of the Council of December 20 2006 on nutrition and
health claims made on foods (OJ L 404, 30.12.2006, p.
9–25)
Salleh HS, Noor NA (2018) Moderating effect of self-efficacy
on the relationship between consumer attitude and will-
ingness to consume healthy food. J Sustain Sci Manag
4:33–50
Sharma SK, Bansal S, Mangal M, Dixit AK, Gupta RK, Man-
gal AK (2016) Utilization of food processing by-products
as dietary, functional, and novel fiber: a review. Crit Rev
Food Sci Nutr 56(10):1647–1661. https:// doi. org/ 10. 1080/
10408 398. 2013. 794327
Siegrist M, Shi J, Giusto A, Hartmann C (2015) Worlds apart.
consumer acceptance of functional foods and beverages in
Germany and China. Appetite 92:87–93. https:// doi. org/
10. 1016/j. appet. 2015. 05. 017
Statistics Poland (2023) Higher education in the 2022/23 aca-
demic year—preliminary data. Retrieved 29 December
2023 from https:// stat. gov. pl/ obsza ry- temat yczne/ eduka
cja/ eduka cja/ szkol nictwo- wyzsze- w- roku- akade mickim-
20222 023- wyniki- wstep ne,8,9. html
Stoet G, Geary DC (2020) Gender differences in the pathways
to higher education. Proc Natl Acad Sci 117(25):14073–
14076. https:// doi. org/ 10. 1073/ pnas. 20028 61117
Tabachnick BG, and Fidell LS (2001) Using Multivariate Sta-
tistics. Allyn and Bacon A Pearson Education Company
Boston, U.S.A
Talwar S, Jabeen F, Tandon A, Sakashita M, Dhir A (2021)
What drives willingness to purchase and stated buy-
ing behavior toward organic food? a stimulus–organ-
ism–behavior–consequence (SOBC) perspective. J Clean
337
Decision (September 2024) 51(3):321–337
Vol.: (0123456789)
Prod 293:125882. https:// doi. org/ 10. 1016/j. jclep ro. 2021.
125882
Teo PS, van Dam RM, Whitton C, Tan LWL, Forde CG (2021)
Consumption of foods with higher energy intake rates is
associated with greater energy intake, adiposity, and car-
diovascular risk factors in adults. J Nutr 151(2):370–378.
https:// doi. org/ 10. 1093/ jn/ nxaa3 44
Thompson FT, Levine DU (1997) Examples of easily explain-
able suppressor variables in multiple regression research.
Mul Linear Regres View 24(1):11–13
Topolska K, Florkiewicz A, Filipiak-Florkiewicz A (2021)
Functional food—consumer motivations and expectations.
Int J Environ Res Public Health 18:5327. https:// doi. org/
10. 3390/ ijerp h1810 5327
Tudoran A, Olsen SO, Dopico DC (2009) The effect of health
benefit information on consumers health value, attitudes
and intentions. Appetite 52:568–579. https:// doi. org/ 10.
1016/j. appet. 2009. 01. 009
Urala N, Lähteenmäki L (2003) Reasons behind consumers’
functional food choices. Nutr Food Sci 33(4):148–158.
https:// doi. org/ 10. 1108/ 00346 65031 04884 99
Urala N, Lähteenmäki L (2004) Attitudes behind consum-
ers’ willingness to use functional foods. Food Qual Pre-
fer 15(7–8):793–803. https:// doi. org/ 10. 1016/j. foodq ual.
2004. 02. 008
Urala N, Lähteenmäki L (2007) Consumers’ changing attitudes
towards functional foods. Food Qual Prefer 18(1):1–12.
https:// doi. org/ 10. 1016/j. foodq ual. 2005. 06. 007
Van Doorn J, Verhoef PC (2011) Willingness to pay for organic
products: differences between virtue and vice foods. Int J
Res Mark 28(3):167–180. https:// doi. org/ 10. 1016/j. ijres
mar. 2011. 02. 005
Verbeke W (2005) Consumer acceptance of functional foods:
socio-demographic, cognitive and attitudinal determi-
nants. Food Qual Prefer 16(1):45–57. https:// doi. org/ 10.
1016/j. foodq ual. 2004. 01. 001
Visioli F, Marangoni F, Poli A, Ghiselli A, Martini D (2022)
Nutrition and health or nutrients and health? Int J Food
Sci Nutr 73(2):141–148. https:// doi. org/ 10. 1080/ 09637
486. 2021. 19379 58
WHO. (2021). Obesity and overweight. Retrieved 17 Nov
2021, from https:// www. who. int/ news- room/ fact- sheets/
detail/ obesi ty- and- overw eight
Wiśniewska MZ, Manning A, Malinowska L etal (2022) Con-
sumption and home preparation of fermented vegetable
products in Poland. Scientific Papers of Silesian Univer-
sity of Technology. Org Manag Series 155:557–578
Publisher’s Note Springer Nature remains neutral with regard
to jurisdictional claims in published maps and institutional
affiliations.
... Beverages are the most popular. These beverages satisfy a physiological need, but also satisfy the desire of consumers to obtain healthier, more natural, refreshing, stimulating and nutritious options [3,4]. The global market of functional beverages has been growing, reaching approximately USD 9.8 billion in 2017; this is expected to grow to USD 19.7 billion by 2023 [5]. ...
Article
Full-text available
Plant-based beverages, commonly referred to as functional beverages, have the potential to improve health since they contain bioactive components. A study was conducted to analyze the nutritional and bioactive profiles of functional beverages marketed in the United States and Peru, based on the different ingredients utilized. The determination of the nutritional content and bioactive compounds was carried out according to validated methods. The antioxidant activity of the beverages was assessed according to the DPPH and FRAP assays. The results showed that the beverages have a low caloric contribution, while they were characterized by a high content of bioactive compounds such as polyphenols, anthocyanins, carotenoids, and Vitamin C, associated with strong antioxidant activity. Significant differences were also found between the samples tested according to the ingredients used in the beverages. In conclusion, this research indicates that the plant beverages under investigation could potentially provide a noteworthy quantity of bioactive compounds linked to the various constituent types, hence catering to consumer preferences.
Article
Full-text available
The functional beverages (FBs) are an important segment of functional food products due to health benefits they provide and their appealing sensory characteristics, suitability and affordability. FBs market offers many opportunities for new product development (nutraceuticals, colorants, plant-based medicines and products) with desirable and effective composition of nutrients and bioactive molecules (BAMs) aimed to deliver health benefits and improve human well-being. Recently, the use of medicinal and aromatic plants (MAPs) in the production of FBs has become increasingly popular due to specific content of nutrients (amino and fatty acids) and BAMs (volatile and non-volatile) attributed to the biological effects and health benefits. BAMs are stored in leaves, flowers, fruits, seeds, barks and roots, and they mostly include phenolics (phenolic acids, flavonoids, tanins, anthocyanins, lignans and stilbenes), essential oils (EOs), terpenoids, alkaloids, phytosterols and saponins. The aromatic features of MAPs are mainly related to volatile compounds of EOs, but the presence of non-volatile compounds, such as phenolics, also contributes to the specific sensory properties. Phytochemical profiling of plant species containing specific and complex mixtures of BAMs, provides numerous opportunities for the development of new categories of FBs, but also opens new challenges in their isolation using conventional and advanced extraction techniques, as well as determination of potential biological effects. This review summarizes the categories of the most common FBs, BAMs from selected MAPs and their biological effects, extraction techniques suitable for production of plant extracts and EOs, product quality and prediction trends, and several directions towards future research on FBs development strategies.
Article
Full-text available
Despite the large debate about the relationship between ultra-processed foods and the prevalence of some diet-related diseases, the innovative potential of various processing technologies has been evidenced in pathways that could lead to modifications of the food matrix with beneficial health effects. Many efforts have been directed toward the conjugation of a healthy diet and sustainable exploitation of natural resources for the preparation of accessible foods. This minireview highlights the possible links between processing, sustainability, and circular economy through the valorization of by-products that could be exploited to prepare nutrient-rich ingredients at lower economic and environmental costs. The assessment of the quality and safety of functional foods based on ingredients derived from food waste requires a more robust validation by means of the food-omics approach, which considers not only the composition of the final products but also the structural characterization of the matrix, as the bioaccessibility and the bioavailability of nutrients are strictly dependent on the functional characteristics of the innovative ingredients.
Article
Full-text available
The organic food market has emerged as a growing trend among consumers. The present study examines the relationship between Health Consciousness (HC), Organic Food Knowledge (OFK), Subjective Norms (SN), Price Perception (PP), Environmental Concern (EC), Attitude (ATT), Willingness to Purchase (WP), and Actual Buying Behaviour (ABB) towards organic food. Further, the study explores the mediating effects of ATT and WP in the relationship between the aforesaid variables and ABB. The data was collected from 240 respondents using convenience sampling approach. The Structure Equation Modeling (SEM) using ADANCO 2.2 is used to test the hypotheses of the conceptual model proposed in the present study. The study found that the variables HC, OFK, SN, EC, ATT, WP significantly affect the ABB. Also, it is observed that EC is the strongest predictor of ATT, WP, and ABB in organic food purchase, whereas PP is the least influencing factor. Further, HC positively influences ATT and WP but shows a negative association with ABB. The antecedents HC, OFK, SN, PP, EC has shown a significant indirect effect on ABB among respondents through ATT and WP. Finally, the theoretical and practical implications are discussed.
Article
Full-text available
Background In the NOVA classification system, descriptive criteria are used to assign foods to one of four groups based on processing-related criteria. Although NOVA is widely used, its robustness and functionality remain largely unexplored. We determined whether this system leads to consistent food assignments by users. Methods French food and nutrition specialists completed an online survey in which they assigned foods to NOVA groups. The survey comprised two lists: one with 120 marketed food products with ingredient information and one with 111 generic food items without ingredient information. We quantified assignment consistency among evaluators using Fleiss’ κ (range: 0–1, where 1 = 100% agreement). Hierarchical clustering on principal components identified clusters of foods with similar distributions of NOVA assignments. Results Fleiss’ κ was 0.32 and 0.34 for the marketed foods (n = 159 evaluators) and generic foods (n = 177 evaluators), respectively. There were three clusters within the marketed foods: one contained 90 foods largely assigned to NOVA4 (91% of assignments), while the two others displayed greater assignment heterogeneity. There were four clusters within the generic foods: three clusters contained foods mostly assigned to a single NOVA group (69–79% of assignments), and the fourth cluster comprised 28 foods whose assignments were more evenly distributed across the four NOVA groups. Conclusions Although assignments were more consistent for some foods than others, overall consistency among evaluators was low, even when ingredient information was available. These results suggest current NOVA criteria do not allow for robust and functional food assignments.
Article
Full-text available
Chronic diseases (e.g., heart disease, cancer, diabetes) are of major public concern. Such chronic diseases are often caused by a dietary pattern characterized as relatively high in fat, refined sugar, salt, and cholesterol. Societal interest in consuming healthy foods and the demand for healthy food products have increased significantly. As a result, functional foods have gained significant research attention in the food health and technology innovations field. To date, many studies have investigated the factors that may predict consumer acceptance of functional foods, and a wide range of influential factors have been reported. However, studies conducted in different contexts pose challenges to gaining a clear understanding of the factors influencing consumer acceptance. Therefore, the purpose of our scoping review was to synthesize the possible determinants of consumer acceptance toward functional foods and provide a resource that describes global trends regarding consumers’ functional foods behavior. We identified 75 articles published with varying populations around the globe that empirically investigated consumers’ acceptance of functional foods. We identified and categorized a wide range of determinants related to consumer acceptance of different types of functional foods. The five categories of determinants were product characteristics, socio-demographic characteristics, psychological characteristics, behavioral characteristics, and physical characteristics. Each of the determinants were more fully described by sub-determinants in our scoping review. These determinants should be considered and used by leaders and scientists in product development to aid decision making and, ultimately, the successful launch of novel functional foods.
Article
Full-text available
Sesame seeds within the European Union (EU) are classified as foods not of animal origin. Two food safety issues associated with sesame seeds have emerged in recent years, i.e., Salmonella contamination and the presence of ethylene oxide. Fumigation with ethylene oxide to reduce Salmonella in seeds and spices is not approved in the EU, so its presence in sesame seeds from India was a sentinel incident sparking multiple trans-European product recalls between 2020–2021. Following an interpretivist approach, this study utilises academic and grey sources including data from the EU Rapid Alert System for Food and Feed (RASFF) database to inform a critical appraisal of current EU foods not of animal origin legislation and associated governance structures and surveillance programs. This is of particular importance as consumers are encouraged towards plant-based diets. This study shows the importance of collaborative governance utilizing data from company testing and audits as well as official regulatory controls to define the depth and breadth of a given incident in Europe. The development of reflexive governance supported by the newest technology (e.g., blockchain) might be of value in public–private models of food safety governance. This study contributes to the literature on the adoption of risk-based food safety regulation and the associated hybrid public–private models of food safety governance where both regulators and private organizations play a vital role in assuring public health.
Article
Full-text available
Citation: Kowalska, A.; Ratajczyk, M.; Manning, L.; Bieniek, M.; Mącik, R. "Young and Green" a Study of Consumers' Perceptions and Reported Purchasing Behaviour towards Organic Food in Poland and the United Kingdom. Sustainability Abstract: Globally, the organic food market is the most successful green market. Young consumers, the decision-makers of the future, are perceived as being more environmentally concerned than older cohorts. The aim of this study was to consider young consumers' attitudes and behaviours concerning organic food, where the organic food market in the UK is more mature than in Poland. Empirical research was conducted using a web-based survey questionnaire (CAWI) with consumers (n = 973) in both countries. The associations between four constructs (general pro-social attitudes, green consumption values, receptivity to green communication, and buying behaviour) were considered using CB-SEM. We extended the model with two new constructs to explain young consumers' purchases of organic food. UK respondents are significantly more conscious green consumers with higher environmental attitude intensity than Polish residents. Intensity of pro-environmental attitude components influences directly and indirectly the choice of organic food. People with a higher intensity of pro-environmental attitudes are significantly more likely to choose organic food. Perception of organic food influences purchases only in Poland. The components of pro-environmental attitudes and perception of organic food alone do not explain the variability in behaviour, despite a good fit of the model. This suggests that other independent variables may be of influence.
Article
Background Sustainable diets, as a concept, was the status quo of human existence from time immemorial. Modern agriculture and industrial food systems of the 20th century had displaced the notion, until the alarming consequences of unsustainable food production and consumption started manifesting as harm to both human and ecosystem health. Scope and approach Framed by the right to food, and the six dimensions of food security, this review will cover the re-emergence of sustainable diets in the scientific literature and in policy instruments, and its attendant features. Key findings and conclusions Coverage includes (i) nutrients, ecosystems and biodiversity, with links to Indigenous Peoples' food systems; (ii) plant and animal source foods and planetary limits; (iii) ultra-processed foods, diet-related chronic diseases, and the misappropriation of the term “healthy” as applied to foods and diets. Multisectoral policy implications and applications are presented.