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The hotel management of e-wom. a cross-cultural analysis Spain-Italy

Abstract

A lack of research in intercultural comparisons has been identified from the national and industrial perspective, and under the perceptions of those who make decisions about hotel services, particularly those related to the use of technologies. Thus, the specific objective of this study is to determine if the Spanish and Italian hotel industries converge or diverge in the process of acceptance, use and management of e-WOM. with this aim, the e-wIp model is tested through a multi-group analysis (MGA) with partial least Squares-Structural Equation modelling (plS-SEm). Then, a Hierarchical Cluster is carried out. the results announce more convergence than divergence and other collateral findings. Several useful conclusions are provided Berné-Manero, Carmen; Ciobanu, Andreea V.; Marzo-Navarro, Mercedes; Pedraja-Iglesias, Marta

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The hotel management of e-wom. a cross-cultural analysis Spain-Italy

Author: Berné-Manero, Carmen; Ciobanu, Andreea V.; Pedraja-Iglesias, Marta; Marzo-Navarro, Mercedes
Year: 2019
Source: https://zaguan.unizar.es/record/99121/files/texto_completo.pdf
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IJISEBC, 6(2), 2019
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
he ho el managemen o e-wom. a
c oss-cul u al analysis Spain-I aly
la ges ión ho ele a de e-wom. un análisis in e cul u al España-I alia
Ca men Be né-mane o1, and eea . Ciobanu1, me cedes ma zo-
na a o1, ma a ped aja-Iglesias1
1uni e si y o Za agoza, Spain
cbe ne@uniza .es , [email p o ec ed] , mma zo@uniza .es ,
mped aja@uniza .es
aBS aC . a lack o esea ch in in e cul u al compa isons has been iden i ied om he na ional
and indus ial pe spec i e, and unde he pe cep ions o hose who make decisions abou ho el
se ices, pa icula ly hose ela ed o he use o echnologies. hus, he speci ic objec i e o his
s udy is o de e mine i he Spanish and I alian ho el indus ies con e ge o di e ge in he p ocess o
accep ance, use and managemen o e-wom. wi h his aim, he e-wIp model is es ed h ough a
mul i-g oup analysis (mga) wi h pa ial leas Squa es-S uc u al Equa ion modelling (plS-SEm).
hen, a Hie a chical Clus e is ca ied ou . he esul s announce mo e con e gence han
di e gence and o he colla e al indings. Se e al use ul conclusions a e p o ided.
ESumEn. Se ha obse ado una al a in es igación en análisis compa a i os in e cul u ales desde
la pe spec i a nacional e indus ial y desde las pe cepciones de los deciso es sob e los se icios
ho ele os, pa icula men e los elacionados con el uso de las ecnologías. así, el obje i o de es e
es udio es a e igua si las indus ias ho ele as de España e I alia con e gen o di e gen en el p oceso
de acep ación, uso y ges ión del boca-oído elec ónico. Con es e in, se con as a el modelo e-wIp
a a és de análisis mul i-g upo (amg) con plS-SEm (pa ial leas Squa es-S uc u al Equa ion
modelling). un análisis Clus e Je á quico complemen a el es udio. los esul ados in o man de una
mayo con e gencia que di e gencia así como o a in o mación cola e al, lo que conduce a
p opo ciona conclusiones de u ilidad.
KEywo dS: análisis mul i-g upo, Boca-oído elec ónico, Clus e je á quico, Cul u a, ges ión,
Ho eles.
palaB aS Cla E: Cul u e, Elec onic wo d-o -mou h, Hie a chical clus e , Ho els,
managemen , mul i-g oup analysis.
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
ecibido: 19-06-2019 / e isado: 21-08-2019
acep ado: 21-08-2019 / publicado: 15-12-2019
8
IJISEBC, 6(2), 2019
1. In oduc ion
In he XXI cen u y, c oss-cul u al compa ison became qui e a common app oach o iden i ying he
di e ences be ween na ional cul u es o be ween a ious ypes o cul u e (Chen, Cheung & low, 2012).
Cul u e is a collec i e p og aming o he mind ha dis inguishes he membe s o one o ganiza ion om ano he
(Ho s ede, 2001). he alues, belie s, no ms and beha iou al pa e ns o a na ional g oup a e an illus a ion
o cul u e a he na ional le el (yap ak, 2008). he concep o cul u e is used by academic esea che s and
indus y p ac i ione s o iden i y and o unde s and he issues ha may a ise in a ious a eas o he social
sciences and o de elop app oaches o o e come p oblems; a he na ional, indus ial, occupa ional, co po a e
and o ganiza ional le els (Chen, Cheung & low, 2012). ac ually, he ecognized indus ial le el o cul u e
(pizam, pine, mok & Shin, 1997) has o conside ha no single indus y is homogeneous, especially hospi ali y
indus y, due o i s di e si y and complexi y (Jones, 1999).
In his sense, he e is a lack o in e cul u al compa isons esea ch ega ding he na ional and indus ial
pe spec i e and he pe cep ions o decision make s abou he ho el se ice, pa icula ly abou he use o
echnologies. mo eo e , esea ch using echniques such as disc iminan analysis and s uc u al equa ion
modelling (SEm) a e a ely co e ed in he li e a u e as well as li le in o ma ion is a ailable when p obing
online ma ke ing in ela ion o cul u e (Chen, Cheung & low, 2012). au ho s like Can allops and Sal i (2014),
Con en e (2015), Schucke e al. (2015), and Baka (2016) calls o mo e esea ch aimed a ully inco po a ing
he e-wom, communica ion based on echnology, in o business s a egy. hus, mo e ecen ly, e-wIp model
(Be ne, Ciobanu & ped aja, 2019), which aking ad an age o he Beha iou al easoned heo y (B )
(wes aby, p obs & lee, 2010), explains he ho el manage s’ decision-making p ocess in ela ion o accep ing
and implemen ing e-wom and i s capaci y o in luence ho el pe o mance. he e-wIp model con i ms he
exis ence o cause-e ec ela ionships be ween a iables such as easons, mo i es, u u e in en ions o use, e-
wom con ex , and pe o mance, in he case o Spanish ho el indus y.
om hese indings, he speci ic goal o his s udy is o de e mine i he e a e di e ences be ween he
Spanish ho el indus y and he I alian ho el indus y in modelling e-wom use p ocess and i s consequences
in ho el pe o mance. wi h his aim, his pape p esen s a e iew o he li e a u e abou cul u e and e-wom
ho el managemen and o mula es a esea ch ques ion. hen, i explains he da abases used o analyse
di e ences be ween Spanish and I alian ho els, and he esul s ob ained a e using mul i-g oup analysis
(mga) wi h plS (pa ial leas Squa es)-SEm, and Hie a chical Clus e .
2. Cul u e and ho el managemen o e-wom
di e en cul u al con ex s can o e di e en ways o make decisions. al hough hey a e c i icized as oo
gene al and simpli ying, and unable o p edic indi idual beha iou s, he cul u al dimensions iden i ied by
Ho s ede (1980): powe dis ance, unce ain y a oidance, indi idualism-collec i ism, masculini y (/ eminini y),
and la e , long e m p agma ism, can be conside ed as a good amewo k o c oss-cul u al esea ch (Jansen-
e beke, 1996). powe dis ance is he ex en o which he less powe ul membe s o he o ganiza ion wi hin a
coun y expec and accep an unequally dis ibu ion o powe . he g ea e powe dis ance, g ea e he
inequali y. unce ain y a oidance is de e mined by he ex en o which he membe s o a gi en cul u e eel
h ea ened by unce ain and unknown si ua ions. Indi idualism e e s o socie ies whe e ies be ween
indi iduals a e loose (/collec i ism e e s o he dependence o he g oup o which you belong). he dimension
o masculini y poin s o socie ies whe e he e exis s a clea dis inc ion be ween he social oles o men and
women wi h he dominan male sex ole pa e n in he as majo i y o socie ies. long- e m p agma ism e e s
o he impo ance gi en in a cul u e o he planning o li e in con as o immedia e conce ns (Hos s ede, 2001).
Some esea ch ocuses in alida e a measu emen scale o hese i e cul u al dimensions (e.g. yoo, don hy &
lena owicz, 2011).
Jansen- e beke (1996) examined he di e ences and commonali ies in ho el managemen p ac ices o
Belgium and he ne he lands, which we e linked o he di e ences in na ional cul u e. adding he pizams’
(1993) da a, among he cul u al dimensions in 13 coun ies, he e we e ound conside able di e ences
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
9
IJISEBC, 6(2), 2019
be ween he manage s in Eas and wes . I is ema kable ha Spain can be conside ed as a collec i is coun y,
while I aly is six posi ion close o indi idualism; se en posi ions sepa a e bo h coun ies in he case o
unce ain y a oidance dimension. ega ding powe dis ance and masculini y, he posi ioning is simila .
hey a e wo coun ies ha sha e he Sou h Eu opean cul u e, an impo an pa o hei his o y and ha
a e geog aphically loca ed e y nea each o he , being bo h a e peninsulas. mo eo e , wi h he in luence o
globaliza ion on people’s a el habi s and p e e ences, and on employees’ wo king a i udes and beha iou ,
he ho el indus y has been a ec ed in many di e en ways, so he di ec ion o cul u e esea ch should shi
owa d unde s anding he e ec s o such globaliza ion (Chen, Cheung & low, 2012). globaliza ion could
jus i y simila i ies be ween na ional and indus ial cul u es, as Spanish and I alian. ne e heless, as i has been
obse ed, he e a e some di e ences be ween hem acco ding Ho s ende’s cul u al dimensions.
on he o he hand, since ho els a e inc easingly adop ing he use o In o ma ion and Communica ion
echnologies, hei p ocesses a e mo e e icien . Howe e , p oblems may a ise such as a i udes owa d he
change o high- ech sys ems and he equi emen o mo e ad anced skills. Jones (1999) a i ms ha he e a e
s uc u al di e ences be ween he hospi ali y indus ies o di e en coun ies. as a esul , p oblems such as
local ho el owne s’ lack o knowledge o ho el ope a ions may a ise o indi idual ho el g oups when applying
manage ial p ac ices o hei ope a ions in di e en coun ies (Chen, Cheung & low, 2012; In an e-mo o,
In an e-mo o, ma ínez-lópez & ga cía-o daz, 2016).
he concep o e-wom includes any commen s, posi i e o nega i e, made by a po en ial, cu en o
o me consume abou a p oduc o company h ough he use o online media, whe he be o e, du ing, o
a e he expe ience (Hennig- hu au, gwinne , walsh & g emle , 2004). Companies can adap hei
business models aking ad an age o he online e iews managemen in o de o o e added alue (Sigala
2013). mos o he p io esea ch uses seconda y da a, and is aimed a explo ing he in luence o ewom on
consume s selec ing a ou ism des ina ion and es ing he heo y o planned beha iou (e.g. Cheng, lam &
Hsu, 2006; Jalil and, Samiei, dini & manza i, 2012; Jalil and & Samiei, 2012; di pie o, 2012; alba q,
2013; miao, 2015).
Howe e , only a ew pape s empi ically in es iga e manage ial esponses o online e iews and he
ela ionship be ween e-wom and business pe o mance (ye, law & gu, 2009; ye, law, gu & Chen, 2011;
ande son, 2012; li in & Ho man, 2012; pa k & allen, 2013; Sun, ayoun & Calhoun, 2013). all hese
con ibu ions see e-wom as online in e pe sonal in luence, in o mal communica ions di ec ed a o he
consume s h ough In e ne -based echnology ela ed o he usage o cha ac e is ics o pa icula goods and
se ices and hei selle s, and able o enhance he business ac i i y.
Kim e al. (2015) demons a e ha online e iew managemen leads o a pe o mance inc ease. Howe e ,
Xie e al. (2017) ind ha imely and leng hy esponses enhance u u e inancial pe o mance. In any e en ,
managing e-wom can imp o e ho el pe o mance (phillips, Zigan, San os Sil a & Schegg, 2015; Kim, lim &
B yme , 2015; Xie, Zhang, Zhang, Singh & lee, 2016). In his line, e-wIp model p o ides an explana ion on
he way ha ho el decision make s p ocess and implemen he ewom; he model e en con i ms he po en ial
o his ool o in luence business pe o mance (Be ne, Ciobanu & ped aja, 2019). Based on B (wes aby,
p obs & lee, 2010), his model includes ela ionships be ween easons (p io condi ions a ou ing o
impeding he use o ewom as a managemen ool), global mo i es ( o de elop he sys em), in en ions o
con inue using he ool, and pe o mance gains de i ed om changes implemen ed h ough e-wom
managemen . I also includes a a iable o he decision-making con ex : e-wom cha ac e is ics as seen om
he decision-make pe spec i e ( igu e 1).
he e-wom a iable is e lec ed in o h ee dimensions: quali y, au ho i y and c edibili y. acco ding o
ieh (2002), a an ope a ional le el, quali y is iden i ied as he ex en o which use s conside he in o ma ion
use ul, good, cu en , and accu a e; au ho i y (cogni i e) is ope a ionalized as he ex en o which use s hink
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
10
IJISEBC, 6(2), 2019
hey can ely on he in o ma ion. In he online con ex , he c edibili y o e iews in luences belie s, a i udes
and in en ions and is de ined as an indi idual assessmen o whe he in o ma ion is eliable and us wo hy,
acco ding o he ecei e ’s own expe ise and knowledge ( ieh, 2010; lu & S epchenko a, 2012).
a i ude, subjec i e no ms, and pe cei ed con ol o e he use o he in o ma ion a e h ee e lec i e
c i e ia o global mo i es. while a i ude ep esen s a pe son’s global posi i e o nega i e e alua ion owa d
doing he beha iou , subjec i e no ms assess a pe son’s global pe cei ed social p essu e om impo an o he s
o engage in he beha iou (wes aby, 2005). pe cei ed con ol e lec s bo h pas expe iences and impedimen s,
and an icipa ed consequences (ajzen, 1991; alam & Sayu i, 2011). able 1 o e s he i ems included in he
ques ionnai e o each a iable o he model.
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
igu e 1. e-wIp model. Sou ce: adap a ion om Be né e al. (2019).
able 1. Indica o s o he dimensions in he e-wIp model. Sou ce: Sel -made.
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IJISEBC, 6(2), 2019
om in o ma ion p o ided by Spanish ho el decision-make s, i has been con i med ha easons o he
accep ance and use o e-wom ha e a di ec and posi i e in luence on ho el manage ’s mo i es o accep and
manage such in o ma ion; he pe cei ed cha ac e is ics o he e-wom ha e a di ec , posi i e in luence on he
global mo i es o he use o such in o ma ion by ho el managemen ; and, global mo i es ega ding e-wom
communica ion ha e a di ec and posi i e e ec on he in en ions o ho el manage s as well as on ho el
pe o mance.
I is impo an p o ide be e unde s anding o he in luence o e-wom on ho el manage s’ beha iou
depending on cul u e. Cul u e goes a beyond he coun y we e you ha e bo n, he e o e i could de e mine
a di e en making-decisions beha iou and di e en managemen implica ions. Conside ing his idea, he
esea ch ques ion is:
- do he Spain and I aly ho el indus ies con e ge o di e ge in he p ocess o accep a ion, use, and
managemen o e-wom?
al hough hey a e wo coun ies ha a e close o each o he om a cul u al pe spec i e, some di e ences
can be expec ed, since he business model and he s uc u es o he ho el indus ies a e di e en . while in he
I alian case, he ho el indus y is composed mos ly o small independen ho els domina es and is managed by
i s owne s, in Spain he ho el indus y is mainly made up o ho el chains, wi h a la ge size in numbe o
es ablishmen s, and managed by execu i es (Be né, Ciobanu & ped aja, 2015; mo e a, Be né & Ciobanu,
2018). whe he o no signi ican di e ences a e disco e ed, he conclusions and academic ecommenda ions
and p ac ices should be use ul.
3. me hodology
wi h he aim o p o ide an answe o he esea ch ques ion, a c oss-cul u al analysis is ca ied ou ; a
compa a i e s udy be ween wo independen samples. he da a we e collec ed h ough su eys add essed o
ho el decision-make s. he Spanish da a a e he used in Be né e al. (2019) and he I alian da a in mo e a e
al. (2018). he compa ison was conduc ed applying plS-mga (wi h SEm) and Clus e analysis. plS Sma
3.0 is he so wa e used.
om he basic s uc u e o e-wIp model, mga allows o iden i y signi ican di e ences be ween he
s uc u al ela ionships es ablished in he model o each one o he wo g oups (Spanish and I alian da a). he
me hodology is comple ed implemen ing a Hie a chical Clus e , wa d me hod, and Euclidean dis ance. his
analysis allows iden i ying di e en g oups o indi iduals h ough le els o dimensions.
3.1. da a collec ion
he same s uc u ed su ey was add essed o Spanish and I alian ho el decision-make s. p io o i s
dis ibu ion, he ques ionnai e was p e- es ed on p o essional and academic expe s. I begins wi h a il e
ques ion on he use o non-use o e-wom as a managemen ool. he i s se o ques ions cap u es easons
o and agains e-wom accep ance and usage, while he subsequen se s ocus on he emaining heo e ical
model a iables. he las sec ion collec s esponden s’ demog aphic cha ac e is ics and ho el pe o mance
da a. due o obse ed di e ences in he educa ional sys ems o each coun y, 11-poin s like scale is used in
Spanish case, and 5-poin s like scale in I alian case, we e used o measu e all he a iables in ol ed in he
heo e ical model (see able 1), om 0/1, comple ely disag ee, o 10/5, comple ely ag ee, wi h he s a emen 1.
able 2 p esen s he echnical in o ma ion o he su eys. he ques ionnai e was add essed o ho el
decision-make s signi ican ly in ol ed in decisions conce ning digi al echnologies in he company. his a ge
popula ions exhibi cha ac e is ics o a “ha d- o- each” popula ion (ma psa and aza ind a sima, 2010).
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
1 he scale i ems we e based on p e ious li e a u e in o de o p ese e con en alidi y. he like scale o 5 poin s used in he I alian
case was escaled (acco ding dawes (2007)’ me hod) o 11 poin o ob ain a homogeneous da abase.

12
IJISEBC, 6(2), 2019
Sample sizes a e 134 and 136 (Spain/I aly), which means esponse a es o 13.4%, and 27.2%; hey a e
common in indus ial ma ke su eys (Camisón & illa , 2014), and in line wi h p e ious esea ch in simila
con ex s (e.g. Chan 2013; Kim, lim & B yme , 2015).
4. esul s
4.1. mul i-g oup analysis: mga
an mga (Hensele & asso , 2010) is ca ied ou in o de o es he po en ial mode a ing in luence o
he cul u e on he ela ionships included in he model. acco dingly, he sample was spli in o wo g oups,
Spanish and I alian ho el manage s. i s o all, he h ee-s ep p ocedu e o analyze he measu emen
in a iance o composi e models was applied (mICom) (Hensele , ingle & Sa s ed , 2016): (1) con igu al
in a iance, (2) composi ional in a iance (see able 3), and (3) an assessmen o equal means and a iances
(see able 4). Hensele e al. (2015) ecommend he use o he mICom p ocedu e when using plS-SEm.
he analysis is ca ied ou conside ing jus he second o de a iables o he model in o de o simpli y he
ela ionships o be es ed and diminish he numbe o eedom deg ees. hus, he a iables a e easons, e-
wom, mo i es, in en ions and pe o mance. all o hem measu ed h ough summa i e scales.
he assessmen o equal means is no complied in he cases o mo i es and pe o mance, and he
assessmen o equal a iances is no alid. Howe e , easons, e-wom and in en ions con i m pa ial
in a iance. his esul is su icien o conduc a plS-mga (Hensele , ingle & Sa s ed , 2016).
nex s age is o analyse he boo s apping and pe mu a ion esul s. ables 5 and 6 p esen boo s apping
esul s o Spain and I aly espec i ely. Signi ican di e ences be ween g oups, in his case, he wo coun ies,
eme ge when p < 0,1. he s uc u al ela ionships in ol ed in he model p esen s di e ences be ween Spain
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
able 2. echnical Su eys. Sou ce: Sel -made.
able 3. mICom In a iance esul s. S eps 1 and 2. Sou ce: Sel -made.
able 4. mICom In a iance esul s. S ep 3. Sou ce: Sel -made.
13
IJISEBC, 6(2), 2019
and I alian samples only in he ela ionship be ween e-wom and mo i es.
his di e ence has o be coinciden h ough he pe mu a ion es ( able 7). Howe e , he only ela ionship
ha could be signi ican is om easons o mo i es.
he e o e, i canno be a i med ha he e a e signi ican di e ences be ween he s uc u al ela ionships
by pai s o a iables, p esen ed in he model o each sample (ß es ima ed pa ame e s). he e-wIp model
beha es he same ega dless o he coun y. he model con i ms i s p edic i e alidi y and i s beha iou is e y
simila when applied o he I alian case.
4.2. Clus e analysis
when only he p ac ices o ho el manage s in bo h coun ies a e s udied, di e ences a e weakened and,
he e o e, cul u al di e ences may no eme ge. hus, be ween Spain and I aly could ha e la ge di e ences
han is e lec ed in he p e ious esul s. In o he wo ds, when some a iable in a mga does no accomplish
in a iance, applying a clus e analysis is an al e na i e o iden i y di e en ia ed g oups (Hai , Sa s ed ,
ma hews & ingle, 2016).
hus, he e may be di e ences in he beha iou o he Spanish and I alian sample acco ding he
cha ac e is ics o he ho el and / o he esponden s. In o de o de ec g oups o ho els di e en ia ed h ough
he le els o his ype o a iables, a Hie a chical Clus e analysis was ca ied ou h ough he wa d me hod
and he Euclidean dis ance. o a oid he possible in oduc ion o biases, he numbe o g oups o be ob ained
was no se when execu ing he SpSS 21.0 applica ion.
able 8 shows he esul s ob ained. hey mani es he p esence o wo di e en ia ed g oups o ho els.
he e a e signi ican di e ences, a 5% le el, ega ding he a e age le els o he a iables s udied (le el o
indica o s o each i s o de a iable –i ems). hese di e ences exis in e e y a iable be ween he wo
iden i ied g oups. he s anda d de ia ions a e highe in he g oup 1 han in g oup 2, and his la e o e s
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
able 5. Boo s apping Spain. Sou ce: Sel -made.
able 6. Boo s apping I aly. Sou ce: Sel -made.
able 7. mga Based on pe mu a ion es . Sou ce: Sel -made.
14
IJISEBC, 6(2), 2019
highe a e age alues in all he conside ed a iables: easons, quali y, c edibili y, au ho i y, a i ude, subjec i e
no ms, pe cei ed con ol, in en ions and, pe o mance (a o al o 33 a iables). di e ences in mean alues
goes om 1.5 o 3.2 poin s.
In o de o alida e he clus e esul s, a - es o independen samples was ca ied ou h ough le ene es
(al es, 2000; Ju ic, mankelow & polonsky, 2000; ga cía, ga gallo, pas o & ami ez, 2004) ( able 8).
he di e ences be ween he wo iden i ied g oups (g oup 1 and g oup 2) depend on some cha ac e is ics
o he ho el and o he esponden . In pa icula : s a s anking, numbe o employees, cha ge o he esponden ,
gende , le el o s udies, and expe ience le el. he e a e inexis en di e ences depending on he ype o ho el
p ope y o on he age o he esponden . mo eo e , i is ema kable he coun y e ec : g oup 1 is mainly
composed by answe s o I alian esponden s and g oup 2 o Spanish (see able 9).
hese esul s announce di e ences be ween bo h coun ies ega ding hei ho el indus y. I has been
obse ed ha he ho els ep esen ed in he Spanish sample, anked wi h 1 o 4 s a s, wi h 11 o 20 employees,
and managed by a p o essional, male gende , wi h supe io s udies and no p e ious expe ience in he ho el
sec o , cha ac e izing a g oup wha gi es highe impo ance o he a iables in ol ed in he use and
managemen o e-wom han I alian ho els, wi h 3 s a s, less numbe o employees, in p ope y, managed by
woman wi h high school s udies and wi h expe ience in he sec o .
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
able 8. Clus e analysis esul s: mean and S anda d de ia ion (g oups 1 and 2). Sou ce: Sel -made.
15
IJISEBC, 6(2), 2019
5. discussion and conclusions
esea ch ocused in o na ional cul u es and he in luence o hose cul u es on he beha iou o manage s
in o ganiza ions is a he complex. he e is a lack o in e cul u al compa ison esea ch ega ding he na ional
and indus ial pe spec i e and he pe cep ions o ho el decision make s, pa icula ly abou he use o
echnologies. his pape posed a ques ion abou he con e gence o di e gence o Spanish and I alian ho els
ega ding he p ocess o accep ance, use, and managemen o e-wom. wi h he aim o sol e he ques ion,
e-wIp model is used. his model explains he p ocess o accep ance and managemen o e-wom in he ho el
business. he e o e, i se es as a cohe en amewo k o p edic ing he e ec s o ho el manage s' a i udes,
in en ions, and beha iou s in hei business esul s. managing online e iews is an oppo uni y o ho els bo h
in Spain and in I aly. hey can imp o e hei pe o mance h ough changes implemen ed as a consequence o
he e-wom in o ma ion managemen . Bu , wha abou hei simila i ies and di e ences?
om he p e ious esul s, ob ained a e apply a mul i-g oup analysis, and a clus e , i is clea ha
managemen p ac ices in Spain and I aly seem o con e ge a he han di e ge. his is an ine i ably p ocess
a ec ing he ou ism business in gene al (Jansen- e beke, 1996). he wo s udied ho el indus ies can be
conside ed as one cul u al a ea ega ding he cause-e ec ela ionships ha explain he p ocess o
implemen a ion and managemen o e-wom ho el. Jansen- e beke (1996) poin s ha he homogenizing
in luence o he ho el o ganiza ion and he ho el indus y could be a easonable explana ion o he simila i ies
in managemen p ac ices be ween he wo coun ies. Howe e , his esea ch inds wo g oups o ho els ha
p esen signi ican di e ences in he mean alues o he indica o s in ol ed in he model. hese wo g oups
a e cha ac e ized by a iables do no included in he model. one o hem, e y impo an in he cu en
esea ch con ex , is he coun y. he o he s a e ho el cha ac e is ics linked o he ca ego y, size and p ope y
o he es ablishmen , and cha ac e is ics o he decision-make , ega ding expe ience, s udies le el and gende .
he e o e, na ional cul u e (coun y) and cha ac e is ics o he esea ch subjec s a e a iables able o
cha ac e ize beha iou s o ho el decision-make s abou he use and managemen o e-wom. pa icula ly, in
e ms o easons, he g oup whe e Spanish ho els a e he mos , o e s mo e o ien a ion o he cus ome , mo e
alue o he in o ma ion o e ed by e-wom, is mo e con iden in he cus ome s’ e iews and hey a e mo e
dependen on he g oup (acco ding wi h pizams’ esul s abou Spain: i is a mo e collec i is ic coun y han
I aly). hey ind mo e posi i e he use o e-wom, social p essu e is highe and hey conside ha hey ha e
highe con ol o e he e-wom sys em. ega ding in en ions, hey mani es highe in en ions o con inue using
he ool. In he case o pe o mance, his g oup alue he use and managemen o e-wom much mo e han
g oup 1, mainly ep esen ed by I alian ho els. I means ha Spanish ho els achie e ha e-wom help hem o
achie e mo e co-c ea ion wi h cus ome s.
his s udy con ibu es o p io knowledge building upon p e ious esea ch in o cul u e in he ho el
indus y. he esul s suppo B ’s mul idisciplina i y, he p edic i e capabili y o he e-wIp model, he
ela i e u ili y o mga when i is applied jus in beha iou al a iables, and he complemen a i y o clus e
analysis o disco e o he hidden in o ma ion in a da abase. mo eo e , his pape shows di e en ways o
compa e indus ial sec o s in di e en coun ies aking in o accoun po en ial cul u al di e ences. I is an
oppo uni y o es ablish c i e ia o con e gence in making decisions. his in o ma ion may be use ul o bo h
o ganiza ions and indus ial sec o s.
he main limi a ion o his s udy lies in ha ing had o simpli y he e-wIp model o he ela ionships
Be né-mane o, C.; Ciobanu, a. .; ma zo-na a o, m.; ped aja-Iglesias, m. (2019). he ho el managemen o e-wom. a c oss-cul u al analysis Spain-I aly.
In e na ional Jou nal o In o ma ion Sys ems and So wa e Enginee ing o Big Companies (IJISEBC)
, 6(2), 7-18.
www.ijisebc.com
VARIABLES AFFECTING
GROUPS
G oup 1: 155 cases
G oup 2: 115 cases
Coun y
Ho el Rank
Numbe o Employees
Cha ge
Gende
S udies
Expe ience
I aly
3 s a s
F om 2 o 10
Ho el owne
Female
High school
F om 6 o 10, om 10 o 20
Spain
1 and 4 s a s
F om 11 o 20
Ho el manage
Male
Uni e si y
No p e ious expe ience
able 9. a iables de e mining g oup 1 and g oup 2. Sou ce: Sel -made.