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Investigating Italian Consumer Preferences for Different Characteristics of Provolone Valpadana Using the Conjoint Analysis Approach

Abstract

The objective of this paper was twofold. First, we estimated consumer preferences for an Italian cheese (Provolone Valpadana) with respect to several attributes and levels, such as price, origin certification, production system, "free from" labelling, and brand. Second, we identified consumer clusters with similar preferences for various cheese characteristics. Preferences were estimated using the conjoint analysis method. Then, a cluster analysis was used to classify consumers into different (three) clusters followed by a market simulation. In all three clusters, the attribute most preferred by Italian consumers was the brand of the cheese: consumers preferred to purchase Provolone cheese having the lowest price, produced by Auricchio, bearing a European Union (EU) quality certification, produced organically, and non-lactose-free. The results of our study provide helpful information to food companies for better segmenting their market and targeting their consumers, as well as effectively promoting their products using brands, certifications as organic and lactose-free. This study contributes to the literature on consumer preference for the EU labelling scheme (voluntary and mandatory). To our knowledge, this is the first study to investigate this combination of multiple labels displayed on the front of Italian cheese packaging. Sampalean, N.I.; De-Magistris, T.; Rama, D.

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Investigating Italian Consumer Preferences for Different Characteristics of Provolone Valpadana Using the Conjoint Analysis Approach

Author: Sampalean, N.I.; Rama, D.; De-Magistris, T.
Year: 2020
DOI: 10.3390/foods9121730
Source: https://zaguan.unizar.es/record/99226/files/texto_completo.pdf
oods
A icle
In es iga ing I alian Consume P e e ences o
Di e en Cha ac e is ics o P o olone Valpadana
Using he Conjoin Analysis App oach
Niculina Iudi a Sampalean 1, Tiziana de-Magis is 2,3,* and Daniele Rama 1
1Depa men o Ag i-Food Economics, Facul y o Ag icul u e, Food and En i onmen al Sciences,
Campus Piacenza-C emona, Ca holic Uni e si y o Sac ed Hea , ia Emilia Pa mense, 84,
29122 Piacenza (PC), I aly; [email p o ec ed] (N.I.S.); [email p o ec ed] (D.R.)
2Unidad de Economía Ag oalimen a ia y de los Recu sos Na u ales, Cen o de In es igación y Tecnología,
Ag oalimen a ia de A agón, 50059 Za agoza, Spain
3Ins i u o Ag oalimen a io de A agón (IA2), CITA-Uni e sidad de Za agoza, 50013 Za agoza, Spain
*Co espondence: [email p o ec ed]; Tel.: +34-976-71-6352
Recei ed: 29 Oc obe 2020; Accep ed: 23 No embe 2020; Published: 25 No embe 2020


Abs ac :
The objec i e o his pape was wo old. Fi s , we es ima ed consume p e e ences o an
I alian cheese (P o olone Valpadana) wi h espec o se e al a ibu es and le els, such as p ice, o igin
ce i ica ion, p oduc ion sys em, ‘ ee om’ labelling, and b and. Second, we iden i ied consume
clus e s wi h simila p e e ences o a ious cheese cha ac e is ics. P e e ences we e es ima ed using
he conjoin analysis me hod. Then, a clus e analysis was used o classi y consume s in o di e en
( h ee) clus e s ollowed by a ma ke simula ion. In all h ee clus e s, he a ibu e mos p e e ed
by I alian consume s was he b and o he cheese: consume s p e e ed o pu chase P o olone
cheese ha ing he lowes p ice, p oduced by Au icchio, bea ing a Eu opean Union (EU) quali y
ce i ica ion, p oduced o ganically, and non-lac ose- ee. The esul s o ou s udy p o ide help ul
in o ma ion o ood companies o be e segmen ing hei ma ke and a ge ing hei consume s,
as well as e ec i ely p omo ing hei p oduc s using b ands, ce i ica ions as o ganic and lac ose- ee.
This s udy con ibu es o he li e a u e on consume p e e ence o he EU labelling scheme ( olun a y
and manda o y). To ou knowledge, his is he i s s udy o in es iga e his combina ion o mul iple
labels displayed on he on o I alian cheese packaging.
Keywo ds: P o olone Valpadana; cheese; conjoin analysis; clus e analysis; ma ke sha es
1. In oduc ion
Consume s ha e become highly conscious o ood p oduc cha ac e is ics when shopping.
They sea ch o p oduc s o highe quali y made wi h en i onmen ally iendly p oduc ion p ocesses
ha ha e connec ions wi h he e i o y and ha p e en heal h issues [
1
–
4
]. To keep up wi h his
change in consume p e e ences, a g ea e ange o p oduc s ha e eme ged on he ma ke . As a esul ,
his abundan a ie y o p oduc s has made ood shopping a mo e di icul ask o consume s [5].
Some ood-labelling schemes enable manu ac u e s o disclose he quali ies o ood p oduc s o
consume s [
6
]. Thus, he use o labels allows ood companies o signal quali y o he p esence o speci ic
desi able bu no ob ious a ibu es [
7
]. In his con ex , du ing he pas wo decades, he Eu opean
Union (EU) has launched di e en ood labelling egula ions ha ood companies can adop on a
olun a y basis. The aim o hese ood-labelling schemes is o es ablish he equi emen s o he
use o pa icula labels and he p ocedu es o con olling he quali y o labelled p oduc s o p o ec
consume s om being misled. Two examples o hese egula ions a e EEC Regula ion No. 834/2007,
conce ning o ganic p oduc ion and he labelling o o ganic p oduc s, and Regula ion No. 2081/92
Foods 2020,9, 1730; doi:10.3390/ oods9121730 www.mdpi.com/jou nal/ oods
Foods 2020,9, 1730 2 o 16
adop ed by he Eu opean Commission and u he amended wi h se e al ex s which culmina ed in
EEC Regula ion No. 1151/2012, which in oduced he quali y labels P o ec ed Designa ion o O igin
(PDO) and P o ec ed Geog aphical Indica ion (PGI) labels. The PDO and PGI labels we e designed as
quali y cues o educe asymme ic in o ma ion and o educe consume unce ain y associa ed wi h
ood pu chases ega ding desi able p oduc cha ac e is ics. In pa icula , he PDO label may be used
in he case o ood p oduc s ha a e p oduced, p ocessed, and p epa ed in a gi en geog aphical a ea
using local know-how. (EEC Regula ion No. 1151/2012).
Many s udies on consume p e e ences o ood labelling ha e been conduc ed since he 2000s,
and hey ha e especially ocused on consume willingness o pay (WTP) o mul iple on -o -package
(FOP) ood labelling schemes [1,3,8–10] and some ha e ocused on cheese p oduc s [11–13].
Al hough cheese is one o he mos impo an ag icul u al ood p oduc s in I aly, accoun ing o
87.4% o he o al alue o I alian dai y p oduc s sold ab oad [
14
], s udies on consume p e e ences
o ood labelling on cheese p oduc s a e sca ce [
12
,
15
–
17
]. In gene al, hese s udies ha e epo ed
ha PDO labels a e p e e ed o e o ganic labelling; nu i ional claims a e p e e ed o e o ganic
labelling; nu i ional claims a e p e e ed o e he nu i ional ac panel. Ye , mos s udies ha e
also demons a ed ha p e e ences o ood labelling schemes a e he e ogeneous ac oss consume s,
wi h gende , age, educa ional le el, and ha he deg ee o en i onmen al conce n in luenced consume
WTP o di e en cheeses [11,18].
A he Eu opean le el, 53 o 247 ypes o cheese designa ed as PDO o PGI a e I alian
p oduced. Fo I aly, hese cheeses ep esen 57% o he na ional p oduc ion alue and 50% o
expo s.
Likewise, in 2018,
sales o Geog aphical Indica ion (GI) cheeses g ew by 2% in quan i y and
1.5% in alue compa ed wi h non-GI cheeses; hose cheeses dec eased by 1.6% in olume and inc eased
by 0.6% in alue [
19
]. In his con ex , G ana Padano PDO and Pa migiano Reggiano PDO oge he
accoun o 59.3% o he olume and 66.3% o he alue o o al sales o GI cheeses in la ge-scale
dis ibu ion [19].
Fou egions o no he n I aly (Lomba dy included) accoun o 65% o he PGI p oduc ion alue;
76 PDO/PGI ce i ied p oduc s come om Lomba dy, and 9896 PDO/PGI en e p ises a e loca ed in he
egion, gene a ing a p oduc ion alue o €1958 million [19].
P o olone Valpadana is one o he mos consumed GI cheeses in I aly, wi h a consump ion alue
o
€
77 million and ep esen ing 1.1%, by weigh , o he o al I alian GI cheese consump ion, mo e han
he well-known Peco ino Toscano PDO o Mon asio PDO [19].
Is a ’s ‘Repo on Family Consump ion Expense’ shows ha he a e age mon hly household
expendi u e in I aly in 2017 was
€
2563.94. O his o al a e age expendi u e,
€
457.12 was dedica ed o
ood and non-alcoholic d inks. Spending on cheese, milk, and eggs was
€
58.26 ( hese a e measu ed as
an agg ega e), which ep esen s 2.27% o he o al a e age mon hly household expendi u e and 12.75%
o he o al a e age mon hly expendi u e o ood and non-alcoholic d inks. P o olone is a spun-pas e
semiha d cheese made om whole cows’ milk wi h na u al acidi y om e men a ion. Milk is collec ed
in he a ea o o igin wi hin 60 h o milking and hen unde goes mild hea ea men un il he cheese
is pas eu ised. The ma u a ion pe iod can a y as ollows: o up o 6 kg, he minimum ma u a ion
pe iod is 10 days; o o e 6 kg, he minimum ma u a ion pe iod is 30 days; o o e 15 kg o only he
piquan a ie y, he minimum ma u a ion pe iod is 90 days; o o e 30 kg o he p oduc labelled
PVS (P o olone Valpadana S ong) he ma u a ion pe iod is o e 8 mon hs ( o he piquan a ie y).
The cheese may also be smoked, o med in o di e en shapes (one o i s mos impo an cha ac e is ics)
and be o med in o blocks o a ious weigh [20].
P o olone Valpadana was ecognized as a PDO p oduc in 1996. Since hen, all i s p oduce s mus
s ic ly comply wi h he p oduc ion egula ions. Today, P o olone Valpadana PDO is p oduced by
au ho ised cheesemake s and can also be sold by packaging companies. In all cases, e e y single shape
mus be ma ked wi h he Conso ium’s adema k and he PDO adema k, which a e unequi ocal
gua an ees o quali y [21].
Foods 2020,9, 1730 3 o 16
P o olone Valpadana is a ypical p emium cheese wi h unmis akable quali ies; i is easy o
compa e wi h o he gene ic p oduc s (e.g., spun-pas e cheese), bu consume s mus ecognise i s
unique quali ies.
In ligh o he o egoing con ex , he objec i e o his s udy was wo old. The i s objec i e was o
assess I alian consume p e e ences o P o olone Valpadana ha bea s mul iple ood labels, such as
hose making claims ela ed o hei o igin (PDO), me hod o p oduc ion (o ganic), and heal hiness
( ee om lac ose). Because o he inc easing complexi y o consume p e e ence, he second aim o
his s udy was o examine he e ogenei y in p e e ences o labelled cheeses on he basis o consume s’
sociodemog aphic and pe sonal cha ac e is ics.
To achie e hese objec i es, we conduc ed an online su ey o 246 I alian cheese consume s and
used bo h a conjoin and clus e analysis o analyse ou da a.
Ou s udy con ibu es o he consume cheese p e e ence li e a u e because his is he i s
s udy o in es iga e consume p e e ences o hese mul iple ood labels on I alian cheese using an
app oach combining conjoin analysis and clus e analysis. Fu he mo e, ou indings ha e ma ke ing
implica ions because hey disclose use ul in o ma ion o I alian s akeholde s along wi h he cheese
supply chain ha can help p oduce s and e aile s, among o he s, design he bes s a egies o
di e en ia e cheeses by adop ing a ious labelling schemes o di e en segmen s o consume s.
Li e a u e Re iew
Consume p e e ences owa ds di e en ood labels and di e en combina ions o ood
labels ha e been widely in es iga ed du ing he las decade o se e al ood p oduc s.
Fo ins ance,
Be nabeu e al. [22].
analysed he p ice, o igin, ype and p oduc ion sys em o wine,
while
E aach e al. [9]
examined he ela i e impo ance o Eu opean o igin labels (PDO) associa ed
wi h ex insic (p ice and packaging) and in insic (colo ) cues o Spanish oli e oil on consume
p e e ences. Ap ile e al. [
8
] p o ided e idence abou ex a- i gin oli e oil consume s’ WTP. Likewise,
de Magis is and G acia [
23
] in es iga ed consume s’ p e e ences and WTP o almonds ca ying
di e en sus ainabili y labels (e.g., ood miles and o ganic ce i ica ions). Simila ly, Mesias e al. [
24
]
used p ice, o igin, p oduc ion sys em and labelling as a ibu es o s udy p e e ences o bee in
Ex emadu a. Finally, Cilla e al. [
25
] and Ga a aglia and Ma iani [
26
] in es iga ed consume s’
p e e ences o cu ed ham in Spain.
These s udies in gene al showed ha he PDO and o ganic a ming labels a e mos impo an .
In pa icula , Ap ile e al. [
8
] showed ha he highes p emium p ice is associa ed wi h PDO labels,
ollowed by o ganic a ming labels, and hen PGI labels. E aach e al. [
9
] indica ed ha p ice and
o igin labelling (PDO label) we e he a ibu es ha mos a ec consume s’ p e e ences. De Magis is
and G acia [
23
] sugges ed ha consume s we e willing o pay a posi i e p ice p emium o ‘locally
g own’ and ‘o ganically p oduced’ a ibu es. Finally, Mesias e al. [
24
] showed ha he o igin o he
p oduc is he mos impo an a ibu e in he choice o bee , ollowed by quali y labelling, p oduc ion
sys em and p ice. In he li e a u e, some s udies ha e ocused on consume p e e ences o se e al ood
labels appea ing on cheeses sold in Eu ope. Fo example, Ga a aglia and Ma coz [
12
] in es iga ed he
Fon ina cheese bea ing he PDO ce i ica ion. The au ho s epo ed di e ences in consume p e e ences
depending on he esponden ’s place o esidence. Likewise, Skubic e al. [
13
] conduc ed a s udy in
Slo enia and ound ha p ice was he mos impo an a ibu e o consume s. De Magis is and
G acia [
27
] ound ha Spanish consume s we e willing o pay mo e o PDO cheese han o o ganic o
ligh cheeses. Mo eo e , gende , age, educa ional le el, and he deg ee o he en i onmen al conce n
in luenced consume WTP o di e en cheeses.
Se e al s udies ha e in es iga ed consume p e e ences o cheese p oduc s based on p oduc ion,
p ocessing, ading o b anding. Fo example, Tende o and Be nabeu [
28
] demons a ed ha consume s
mos highly alue he PDO label as a gua an ee o quali y and ood sa e y and ha hey p e e cheeses
ha a e app op ia ely p iced, aged, and i possible, ce i ied. Simila ly, Be nabeu e al. [
29
] in es iga ed
he pe cei ed quali y o cheese om Cas illa-La-Mancha compa ed wi h ha o cheeses om he es
Foods 2020,9, 1730 4 o 16
o Spain and o eign cheeses. The au ho s ound ha consume s a ached he mos impo ance o he
o igin o he cheese, ollowed by he cheese ype, p ice, and p oduc ion sys em (o ganic). Mo eo e ,
Be nabeu e al. [
29
] e ealed ha o ganic p oduc ion sys ems had he lowes ela i e impo ance as
well as a nega i e in luence on consume p e e ences o cheese.
Napoli ano e al. [
17
] assessed he e ec o in o ma ion conce ning o ganic p oduc ion o Peco ino
cheese on consume WTP. They showed ha consume s we e willing o pay a highe p ice han local
e ail p ice o o ganic cheese han egula cheese (
€
3.00/100 g). Mo eo e , in o ma ion ega ding
o ganic a ming was ound o be he main de e minan o cheese p e e ence and consume WTP.
Some s udies ha e ocused on consume WTP o cheeses wi h FOP nu i ional claims. Fo ins ance,
G acia and de Magis is [
3
] de e mined ha he mos p e e ed ood label was he PDO indica ion,
closely ollowed by he nu i ional ac panel and he EU o ganic logo. Likewise, de Magis is and
Lopez-Galan [
11
]. In es iga ed consume WTP o cheeses bea ing ‘ educed a ’ and ‘low sal ’ claims
in Spain. The au ho s epo ed ha Spanish cheese consume s we e willing o pay a p emium o
packages o cheese wi h educed- a and low-sal claims.
Ano he impo an claim ela ed o he heal h o consume s ha may be p esen on he FOP
o cheese is he ‘lac ose- ee’ claim. This claim con ains impo an in o ma ion o consume s wi h
ood in ole ances (e.g., lac ose in ole ance). Ha mann e al. [
30
] in es iga ed how ‘ ee- om labelling’
shapes consume pe cep ions o ood p oduc s and whe he he absence o an ing edien is conside ed
an indica o o imp o ed nu i ional alue o he p oduc . The au ho s concluded ha a ‘lac ose- ee’
label was highly co ela ed wi h he pe cep ion o heal hiness as well as he in en ion o pay a p emium
p ice, imagining ha consume s a ibu e inapp op ia e heal h bene i s o p oduc s ee o lac ose.
Lac ose- ee cheese occu s when cheese is aged mo e han abou one mon h, as bac e ia added om
he beginning o he milk ‘diges ’ lac ose con e ing i in o lac ic acid; he la e con ibu es o cheese
as e and a oma, and i s o all i induces p o ein coagula ion, he e o e he cheese p oduc ion [31].
Finally, s udies on consume p e e ence o p i a e b ands o cheese a e sca ce. To ou knowledge,
only A ini [
15
] conduc ed such a s udy, compa ing consume WTP o cheeses bea ing Conso ium
labels and EU PDO labels. The indings showed ha he p esence o he manu ac u e ’s b and was
compa a i ely impo an when shopping o g a ed cheese (18.91%) and o dina y cheese (18.24%).
The esul s u he indica ed ha li le a en ion was paid o he p i a e label o he i m p oducing o
ma ke ing he ypical p oduc s a issue; howe e , he Conso ium label played an impo an ole in
eassu ing consume s abou he quali y o he pu chased p oduc . Fo Pa migiano Reggiano cheese,
as many as 75% o he in e iewed consume s looked o he Conso ium label when shopping [15].
2. Ma e ials and Me hods
2.1. Conjoin Analysis and Choice Task P ocedu e
Conjoin analysis is one o he mos widely used ma ke ing esea ch me hods o analysing
consume ade-o s and is used o examine su ey esponses conce ning p e e ences and in en ions o
buy; i is a me hod o simula ing how consume s migh eac o changes in cu en p oduc s o new
p oduc s in oduced in o an exis en compe i i e a ay [
32
]. The model assumes ha he subs i u e
p oduc s no ion can be de ined as a se ies o speci ic le els o a common se o a ibu es. I also
assumes ha he o al u ili y he consume de i es om a p oduc is de e mined by he u ili y o
pa -wo h con ibu ed by each a ibu e le el. The conjoin analysis s a s wi h he consume ’s o e all
o global judgemen s abou a se o complex a ibu es. I hen pe o ms a decomposi ion o he o iginal
e alua ions o he consume in o sepa a e and compa ible u ili y scales, acco ding o which he o iginal
o e all judgemen s can be econs i u ed [33].
Foods 2020,9, 1730 5 o 16
The mos commonly used composi ion ule adop ed in his s udy is addi i e because i
is he one conside ing mos (80% o 90%) o he a ia ion in p e e ence in almos all cases.
Following Mesias e al., 2005 [24] we used he addi i e composi ion ule:
Y=
n
X
i=1
Xij X
j=1
ij
whe e Y is he o al u ili y, Vij is he u ili y associa ed wi h le el j (j =1, 2
. . .
, m) o a ibu e i (i =1, 2
. . .
, n), and Xij is a dummy a iable ha akes he alue o 1 (o 0) in he case o p esence (o absence)
o he j h le el o he i h a ibu e.
Fo he quali a i e a ibu es, he pa -wo h model was used because o i s lexibili y [
31
]. Fo he
p ice a ibu e, a Linea Less ela ionship was used because in gene al, highe p ices co espond o
lowe u ili y o p e e ences.
He e, he conjoin analysis (CA) p ocedu e consis ed o a choice ask o es ablish he ade-o s
ha I alian consume s make be ween p ice, quali y ce i ica ion (PDO), sys em p oduc ion (o ganic),
‘ ee om’ labelling, and b and o P o olone Valpadana Dolce.
I alian consume s we e p esen ed 16 a ie ies o P o olone Valpadana Dolce wi h di e en
combina ions o a ibu es le els. The a ibu es (and hei le els) used in he s udy a e lis ed in
Table 1and we e iden i ied (as mos impo an when buying cheese: p ice (
€
2.20/200 g,
€
2.86/200 g,
and
€
3.20/200 g), quali y ce i ica ion (wi h o wi hou PDO), p oduc ion sys em (o ganic o
con en ional), b and (Au icchio, La e ia So esina (bo h na ional b ands), Coop (p i a e label),
o no b and) and lac ose con en (lac ose- ee o non-lac ose- ee). To selec he p ice le els, in o ma ion
on he P o olone Valpadana sold in di e en I alian supe ma ke s was used, and h ee p ice le els
we e se up (
€
2.20/200 g,
€
2.86/200 g, and
€
3.20/200 g). The mos equen lowes p ice o a package
o 200 g was a ound
€
2.20. The e o e, his p ice was chosen as he lowes p ice. The second le el
was 30% highe han he mos equen lowes p ice, and he hi d le el was 45% highe han he
mos equen lowes p ice. Mo eo e , he Coop p i a e label was chosen since i could ep esen any
I alian p i a e label o P o olone Valpadana. As o he na ional b ands, wo b ands we e selec ed:
Au icchio, he leade
b and [
34
], and La e ia So esina, ano he na ional b and o P o olone Valpadana
cheese. In o he wo ds, any o he p i a e label and na ional b and could ha e been used ins ead o
COOP and La e ia So esina.
Table 1. A ibu es and hei co esponding le els.
A ibu es Le el
P ice
2.20 €
2.86 €
3.20 €
Eu opean Quali y Ce i ica ion
(P o ec ed Designa ion o O igin)
Yes
No
P oduc ion Sys em O ganic
Con en ional
Lac ose con en Con ains Lac ose
Lac ose-F ee
B and
La e ia So esina
Au icchio
Coop
No B and
Wi h hese i e a ibu es and hei 13 le els, 96 po en ial p o iles we e ob ained. Because his is
a pa icula ly high numbe o show o consume s, an o hogonal design (SPSS) was applied o he
p o iles o educe he numbe o 16, a numbe mo e likely o encou age pa icipa ion o consume s.

Foods 2020,9, 1730 6 o 16
An example o one o he 16 ob ained p o iles is shown in Figu e 1.
Foods 2020,9, 0 6 o 16
An example o one o he 16 ob ained p o iles is shown in Figu e 1.
Foods 2020, 9, x FOR PEER REVIEW 6 o 16
The esponden s e alua ed a pic u e ha con ained he di e en a ibu e le els in his s udy.
The packaging used was he same as ha on he ma ke , bu some a ibu e-le el combina ions shown
a e no p esen in he ma ke place. Once he p o ile’s ca ds we e o med, hey we e shown o he
esponden s who e alua ed hem, gi ing a sco e om 1 o 10 acco ding o hei s a ed p e e ence.
Pa icipan s had he op ion o epea he same numbe on di e en ca ds. The numbe 1 and 10
co esponded o he lowes and highes le els o p e e ence, espec i ely ( hus employing he
comple e p o ile me hod). The main a gumen in suppo o he ull-p o ile app oach is ha i gi es
a mo e ealis ic desc ip ion o s imuli by de ining he le els o each o he a ibu es and conside ing
he po en ial en i onmen al co ela ion be ween ac o s in eal s imuli [35].
Figu e 1. Example o e alua ed cheese p o ile.
Using SPSS so wa e, he u ili y es ima es gene a ed by he conjoin analysis we e used in a k-
means clus e analysis o classi y he consume s in o homogeneous p e e ences g oups and classi y
hem in o clus e s
2.2. Da a Ga he ing
A sel -adminis e ed s uc u ed elec onic su ey was comple ed by 245 people in I aly. The
su ey was dis ibu ed online (Facebook, Messenge , Wha sApp, LinkedIn) be ween Sep embe 2019
and Ma ch 2020. All subjec s ga e hei in o med consen o inclusion be o e hey pa icipa ed in he
s udy. The s udy was conduc ed in acco dance wi h he Decla a ion o Helsinki, and he p o ocol was
app o ed by he E hics Commi ee o Ca holic’s Uni e si y o he Sac ed Hea . A pilo s udy wi h
Valpadana cheese consume s was conduc ed o es he alidi y and he comp ehension o he su ey.
Table 2 shows he cha ac e is ics o he inal sample o esponden s.
Table 2. Sociodemog aphic dis ibu ion o he collec ed sample in compa ison wi h he I alian
popula ion (%).
Va iables Le els Sample Popula ion
Age (in yea s) 18–35 24
36–55 53
>55 23
Gende Female 81 51 *
Male 19 49 *
Educa ion Elemen a y and middle school 2
High school Diploma 41
Figu e 1. Example o e alua ed cheese p o ile.
The esponden s e alua ed a pic u e ha con ained he di e en a ibu e le els in his s udy.
The packaging used was he same as ha on he ma ke , bu some a ibu e-le el combina ions shown
a e no p esen in he ma ke place. Once he p o ile’s ca ds we e o med, hey we e shown o he
esponden s who e alua ed hem, gi ing a sco e om 1 o 10 acco ding o hei s a ed p e e ence.
Pa icipan s had he op ion o epea he same numbe on di e en ca ds. The numbe 1 and 10
co esponded o he lowes and highes le els o p e e ence, espec i ely ( hus employing he comple e
p o ile me hod). The main a gumen in suppo o he ull-p o ile app oach is ha i gi es a mo e
ealis ic desc ip ion o s imuli by de ining he le els o each o he a ibu es and conside ing he
po en ial en i onmen al co ela ion be ween ac o s in eal s imuli [35].
Using SPSS so wa e, he u ili y es ima es gene a ed by he conjoin analysis we e used in a
k-means clus e analysis o classi y he consume s in o homogeneous p e e ences g oups and classi y
hem in o clus e s.
2.2. Da a Ga he ing
A sel -adminis e ed s uc u ed elec onic su ey was comple ed by 245 people in I aly. The su ey
was dis ibu ed online (Facebook, Messenge , Wha sApp, LinkedIn) be ween Sep embe 2019 and
Ma ch 2020. All subjec s ga e hei in o med consen o inclusion be o e hey pa icipa ed in he
s udy. The s udy was conduc ed in acco dance wi h he Decla a ion o Helsinki, and he p o ocol was
app o ed by he E hics Commi ee o Ca holic’s Uni e si y o he Sac ed Hea . A pilo s udy wi h
Valpadana cheese consume s was conduc ed o es he alidi y and he comp ehension o he su ey.
Table 2shows he cha ac e is ics o he inal sample o esponden s.
App oxima ely 81% o he esponden s we e women and only 19% we e men. Compa ed wi h
he I alian popula ion, women we e o e ep esen ed, which migh be explained by he ac ha , in
gene al, women o e see ood shopping o households. Roughly 24% o he pa icipan s we e less han
35 yea s old, 53% we e be ween 36 and 55 yea s old, and 23% we e olde han 55 yea s. The sample
may ha e skewed owa d a younge demog aphic because he ques ionnai e was dis ibu ed online,
and he olde popula ion ends o no ha e access o he In e ne o compu e skills. Roughly 43% o
he pa icipan s had comple ed high school deg ees, and 57% had a uni e si y deg ee. Mo e han hal
we e ma ied (53%), which is simila o he I alian popula ion o e all (47%). In mo e han 40% o ou
sample, he amily was composed o h ee o ou membe s, which is also compa able wi h he I alian
popula ion o e all (35%). Mo e han hal he esponden s (66%) we e om sou he n o island egions,
wi h he cen al egion being he leas ep esen ed e i o y (7%) o pa icipan s compa ed wi h 20%
o he I alian popula ion. Fo pa icipan occupa ions, mos (40%) we e o ice wo ke s, ollowed by
housewi es (14%), eelance s (13%), s uden s o unemployed pe sons (p esen in he same p opo ion
Figu e 1. Example o e alua ed cheese p o ile.
The esponden s e alua ed a pic u e ha con ained he di e en a ibu e le els in his s udy.
The packaging used was he same as ha on he ma ke , bu some a ibu e-le el combina ions shown
a e no p esen in he ma ke place. Once he p o ile’s ca ds we e o med, hey we e shown o he
esponden s who e alua ed hem, gi ing a sco e om 1 o 10 acco ding o hei s a ed p e e ence.
Pa icipan s had he op ion o epea he same numbe on di e en ca ds. The numbe 1 and 10
co esponded o he lowes and highes le els o p e e ence, espec i ely ( hus employing he comple e
p o ile me hod). The main a gumen in suppo o he ull-p o ile app oach is ha i gi es a mo e
ealis ic desc ip ion o s imuli by de ining he le els o each o he a ibu es and conside ing he
po en ial en i onmen al co ela ion be ween ac o s in eal s imuli [35].
Using SPSS so wa e, he u ili y es ima es gene a ed by he conjoin analysis we e used in a
k-means clus e analysis o classi y he consume s in o homogeneous p e e ences g oups and classi y
hem in o clus e s.
2.2. Da a Ga he ing
A sel -adminis e ed s uc u ed elec onic su ey was comple ed by 245 people in I aly. The su ey
was dis ibu ed online (Facebook, Messenge , Wha sApp, LinkedIn) be ween Sep embe 2019 and
Ma ch 2020. All subjec s ga e hei in o med consen o inclusion be o e hey pa icipa ed in he
s udy. The s udy was conduc ed in acco dance wi h he Decla a ion o Helsinki, and he p o ocol was
app o ed by he E hics Commi ee o Ca holic’s Uni e si y o he Sac ed Hea . A pilo s udy wi h
Valpadana cheese consume s was conduc ed o es he alidi y and he comp ehension o he su ey.
Table 2shows he cha ac e is ics o he inal sample o esponden s.
App oxima ely 81% o he esponden s we e women and only 19% we e men. Compa ed wi h
he I alian popula ion, women we e o e ep esen ed, which migh be explained by he ac ha , in
gene al, women o e see ood shopping o households. Roughly 24% o he pa icipan s we e less han
35 yea s old, 53% we e be ween 36 and 55 yea s old, and 23% we e olde han 55 yea s. The sample
may ha e skewed owa d a younge demog aphic because he ques ionnai e was dis ibu ed online,
and he olde popula ion ends o no ha e access o he In e ne o compu e skills. Roughly 43% o
he pa icipan s had comple ed high school deg ees, and 57% had a uni e si y deg ee. Mo e han hal
we e ma ied (53%), which is simila o he I alian popula ion o e all (47%). In mo e han 40% o ou
sample, he amily was composed o h ee o ou membe s, which is also compa able wi h he I alian
popula ion o e all (35%). Mo e han hal he esponden s (66%) we e om sou he n o island egions,
wi h he cen al egion being he leas ep esen ed e i o y (7%) o pa icipan s compa ed wi h 20%
o he I alian popula ion. Fo pa icipan occupa ions, mos (40%) we e o ice wo ke s, ollowed by
housewi es (14%), eelance s (13%), s uden s o unemployed pe sons (p esen in he same p opo ion
Foods 2020,9, 1730 7 o 16
o 5%), eache s (2%), and en ep eneu s (2%). Conce ning annual income, 26% o he esponden s
ea ned less han
€
10,000 pe yea , 31% ea ned be ween
€
10,000 and
€
20,000 pe yea , and 11% ea ned
mo e han €40,000 pe yea .
Table 2.
Sociodemog aphic dis ibu ion o he collec ed sample in compa ison wi h he I alian
popula ion (%).
Va iables Le els Sample Popula ion
Age (in yea s) 18–35 24
36–55 53
>55 23
Gende Female 81 51 *
Male 19 49 *
Educa ion
Elemen a y and middle school
2
High school Diploma 41
Uni e si y deg ee 57
Ma i al s a us Bachelo /Maiden 33 42 *
Ma ied 53 47 *
Di o ced 9 3 *
In a ela ionship 3
Widow 1
Family membe s 1 12 33 *
2 36 27 *
3–4 40 35 *
>4 12 5 *
Geog aphical Dis ibu ion No h 27 46 *
Sou h and Islands 66 34 *
Cen e 7 20 *
Occupa ion O ice wo ke 40
F eelance 13
S uden 5
Housewi e 14
Teache 2
En ep eneu 2
Unemployed 5
O he 19
A e age annual income (€)<10.000 26
10,000–20,000 31
20,000–40,000 32
40,000–50,000 4
>50,000 7
* ISTAT (Na ional S a is ics Ins i u e) da a ex ac ed in Ap il 2020. h p://da i.is a .i /Index.aspx?Que yId=18460.
Foods 2020,9, 1730 8 o 16
3. Resul s
The esul s sec ion is di ided in o wo pa s. The i s pa desc ibes he esul s o consume
p e e ences o di e en P o olone Valpadana cheese p o iles and he clus e s o med by hese
p e e ences. The second pa , using he simula ion p ocess, iden i ies ma ke sha es o he mos
p e e ed cheeses as well as o some exis en cheeses on he ma ke .
3.1. Cheese Consume P e e ence S uc u e
Table 3p esen s consume p e e ences o a ious FOP ood labelling. We ound ha b and is
he mos highly alued a ibu e (58.24%), ollowed by p ice (13.89%), p oduc ion sys em (10.65%),
lac ose con en (8.94%), and inally, he quali y ce i ica ion (8.29%). Addi ionally, based on he u ili y
es ima es o each le el o a ibu es, consume s p e e ed o pu chase P o olone cheese ha ing he
lowes p ice, bea ing he Au icchio b and, bea ing he EU quali y ce i ica ion, ha ing been o ganically
p oduced, and non-lac ose- ee.
Table 3. Mean pa -wo h and ela i e impo ance o all esponden s.
A ibu es Le els U ili y Es ima e Impo ance Values (%)
Quali y Ce i ica ion NO PDO −0.077 8.292
PDO 0.077
P oduc ion Sys em O ganic 0.144 10.652
Con en ional −0.144
B and
No B and −0.287
58.239
Au ichio 0.966
Coop −0.378
La e ia So esina −0.301
Lac ose Con en Con ains Lac ose 0.039 8.941
Lac ose-F ee −0.039
P ice
2.2 −0.068
13.877
2.86 −0.136
3.2 −0.204
(Cons an ) 6.723
No es: Pea son’s R =0.992; Kendall’s au =1.000.
Using SPSS so wa e, he u ili y es ima es gene a ed by he conjoin analysis we e used in a
k-means clus e analysis o classi y he consume s in o homogeneous p e e ences g oups and classi y
hem in o clus e s. Th ee clus e s o consume s we e iden i ied wi h di e en p e e ence s uc u es.
The analysis o a iance (ANOVA) showed ha all clus e s di e ed signi ican ly om each o he
wi h espec o p ice (p<0.05), lac ose con en (p<0.1) as well as o he o he a iables we e he
signi icance was he highes (p<0.01).
The u ili y es ima es and hei ela i e impo ance we e hen calcula ed o each o he le els
o he a ibu e. The esul s, oge he wi h he size o each clus e (exp essed as %), a e lis ed in
Table 4(A and B).
In all h ee clus e s, he a ibu e mos p e e ed by he I alian consume s was he b and o he cheese,
and his a ibu e’s highes ela i e impo ance was in clus e 2 (77.16%) ollowed by clus e 1 (62.83%).
Foods 2020,9, 1730 9 o 16
Table 4. A. Mean pa -wo h o he clus e s. B. Rela i e impo ance o he clus e s.
A
A ibu es Le els Clus e 1 (44%) Clus e 2 (22%) Clus e 3 (34%)
P ice 2.20 €−0.14947 −0.01865 −0.08053
2.86 €−0.1943 −0.02424 −0.10469
Eu opean Quali y Ce i ica ion
(P o ec ed Designa ion o O igin)
Yes −0.0089 0.0658 0.2014
No 0.0089 −0.0658 −0.2014
P oduc ion Sys em O ganic 0.0656 0.0668 0.2971
Con en ional −0.0656 −0.0668 −0.2971
Lac ose con en Con ains Lac ose 0.0171 0.0708 0.0519
Lac ose-F ee −0.0171 −0.0708 −0.0519
B and
La e ia So esina −0.3137 −0.8606 0.0878
Au icchio 0.9577 2.7149 −0.1778
Coop −0.5533 −1.0091 0.2683
No b and −0.0900 −0.8440 −0.1800
B
A ibu es Rela i e Impo ance
Clus e 1 Clus e 2 Clus e 3
P ice 13.57 6.49 19.13
Eu opean Quali y Ce i ica ion
(P o ec ed Designa ion o O igin) 6.43 4.53 13.40
P oduc ion Sys em 8.79 5.30 16.67
Lac ose Con en 8.38 6.52 11.23
B and 62.83 77.16 39.57
Rega ding he la ges and i s clus e (44%), he mos p e e ed a ibu e was he b and (62.83%),
ollowed by p ice (13.57%). Howe e , hese consume s equally p e e ed he p oduc ion sys em
and lac ose con en (8.79% and 8.38%), whe eas he quali y ce i ica ion was he leas p e e ed
a ibu e (6.43%).
The second clus e consis ed o 22% o he sample who mos p e e ed he b and o cheese
(77%); lac ose con en and p ice exhibi ed simila ela i e impo ance o p e e ence (6.52% and
6.49%, espec i ely). As in clus e 1, EU quali y ce i ica ion was he leas alued a ibu e (4.53%).
Compa able o he i s and he second clus e , in he hi d clus e ( ep esen ing 34% o all consume s),
he mos p e e ed a ibu e was b and, ollowed by p ice (19.13%); howe e , in con as o he o he
wo clus e s, he lac ose con en (11.23%) was he leas p e e ed a ibu e.
Finally, as expec ed, he le el o p ice in all clus e s exhibi ed a nega i e alue, especially o he
highes p ice (
€
3.20/200 g). Mo eo e , he u ili y assigned o he ‘ ee om lac ose’ le el exhibi ed a
nega i e alue in all clus e s, sugges ing ha consume s did no p e e lac ose- ee cheese.
Consume s in clus e 1 showed a clea p e e ence o cheese wi hou a quali y ce i ica ion, in
con as o clus e s 2 and 3. Likewise, ega ding he b and a ibu e, cheese wi h he Au icchio b and
p esen ed he highes u ili y in he i s and second clus e s bu nega i e u ili y in he hi d clus e ,
in con as wi h La e ia So esina and Coop, bo h o which exhibi ed posi i e u ili y. Thus, he esul s
sugges ha consume s in clus e 1 mos p e e ed he b and Au icchio while in he clus e 3, consume s
mos p e e ed he cheese b and Coop.
Rega ding lac ose con en , in clus e 2, consume s anked he lac ose con en in he cheese as he
second mos impo an a ibu e in con as o consume s in clus e s 1 and 3. As o he p oduc ion
Foods 2020,9, 1730 16 o 16
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K ys allis, A.; Ness, M. Consume p e e ences o quali y oods om a Sou h Eu opean pe spec i e: A conjoin
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Fo opoulos, C.; K ys allis, A.; Ness, M. Wine p oduced by o ganic g apes in G eece: Using means-end chains
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Publishe ’s No e:
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a ilia ions.
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