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Entrepreneurial orientation in hotel establishments

Abstract

The present paper analyses the influence of entrepreneurial orientation (integrated approach) and its dimensions (individual approach) on hotel performance. We pose a structural equation model (SEM) Partial Least Square (PLS) through Smart PLS 3.1.9 on a dataset obtained by means of a questionnaire emailed to 102 hotel directors between January and June 2014. The most relevant contribution of this work lies in the fact that the impact of entrepreneurial orientation in an integrated approach (the three dimensions acts jointly) exceeds the effect of each individual approach.

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Entrepreneurial orientation in hotel establishments

Author: Yañez Araque, Benito; Hernández Perlines, Felipe
Publisher: University of Twente
Year: 2015
DOI: 10.3990/2.352
Source: https://idus.us.es/bitstreams/3c22a719-b308-4056-8357-a8974dfcafae/download
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 1
En ep eneu ial o ien a ion in ho el es ablishmen s
Comple ed Resea ch Pape
Felipe He nández Pe lines
Uni e si y o Cas illa-La Mancha
[email p o ec ed]
Beni o Yañez A aque
Uni e si y o Cas illa-La Mancha
[email p o ec ed]
Abs ac
The p esen pape analyses he in luence o en ep eneu ial o ien a ion (in eg a ed app oach)
and i s dimensions (indi idual app oach) on ho el pe o mance. We pose a s uc u al equa ion
model (SEM) Pa ial Leas Squa e (PLS) h ough Sma PLS 3.1.9 on a da ase ob ained by
means o a ques ionnai e emailed o 102 ho el di ec o s be ween Janua y and June 2014. The
mos ele an con ibu ion o his wo k lies in he ac ha he impac o en ep eneu ial
o ien a ion in an in eg a ed app oach ( he h ee dimensions ac s join ly) exceeds he e ec o
each indi idual app oach.
Keywo ds: En ep eneu ial o ien a ion, Pe o mance, Inno a ion, P oac i eness, Risk-
Taking, Ho el Es ablishmen s.
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 2
1. In oduc ion
Inc eased compe i i eness, ma ke globaliza ion and he in luence o echnology on
business make en ep eneu ial o ien a ion a need o mos i ms (Tajeddini & T ueman,
2008). The e o e, i becomes necessa y o analyse how o: 1) ake ad an age o new
oppo uni ies; 2) de elop new p oduc s/se ices and ma ke s (Be hon e al., 2004); 3)
de elop p oac i e beha iou s (K eise e al., 2013); and 4) ake g ea e isks (Godwin &
Abaho, 2013). This has led nume ous i ms o place en ep eneu ial o ien a ion in he
spo ligh o hei compe i i eness. In his sense, ecen yea s ha e wi nessed he p oli e a ion
o s udies on en ep eneu ial o ien a ion and i s impac on i m pe o mance (Basso e al.,
2009; Rauch e al., 2009; A zubiaga e al., 2012; Rod igo-Ala cón e al., 2013; He nández
Pe lines, 2014). I is ue ha he exis ing li e a u e on en ep eneu ial o ien a ion is mainly
based on knowledge acqui ed in he indus y sec o , wo ks ocused on he ho el sec o being
a he sca ce (Tajeddini, 2010). The p esen wo k is aimed a making up his de iciency, gi en
ha ho els a e one o he mos impo an sec o s wo ldwide.1
Di e en mul idimensional cons uc s a e used in en ep eneu ial o ien a ion, hough we
ollow Mille 's (1983) p oposal, who conside s ha en ep eneu ial o ien a ion is in eg a ed
by he cons an sea ch o inno a ion, p o-ac i eness and p edisposi ion o ake mode a e
isks. Two app oaches a e applied in he p esen s udy o he analysis o en ep eneu ial
o ien a ion: 1) he in eg a ed o composi e app oach, in which he join e ec o he h ee
dimensions ha shape en ep eneu ial o ien a ion is analysed, and 2) he independen
app oach, in which he independen e ec o each o hese h ee dimensions is analysed
sepa a ely (Dai e al., 2013). This is ano he inno a i e aspec in he p esen s udy, as wo
app oaches a e p oposed in he same wo k o de e mine which one o e s be e explana o y
capaci y o ho el es ablishmen pe o mance.
Da a we e collec ed h ough a ques ionnai e answe ed by 102 2- o-5-s a ho el di ec o s
ac oss Spain aken om he di ec o y in he O icial Spain Ho el Guide published by
Tu españa. Da a we e collec ed h ough a su ey emailed be ween Janua y and June 2014 o
he di ec o s o he a o emen ioned es ablishmen s. We pose a componen -based s uc u al
equa ion model and PLS (pa ial leas squa e) a iance h ough so wa e Sma PLS 3.1.9.
The p oposed esea ch p o ides guidelines o he managemen o ho el es ablishmen s:
how ho el manage s can imp o e hei pe o mance om he iewpoin o en ep eneu ial
o ien a ion and i s dimensions. In o ma ion is p o ided o ge o know whe he i is be e o
ac join ly in i s h ee dimensions (inno a ion, p o-ac i eness and isk- aking) o , on he
con a y, i is be e o ac on each dimension independen ly.
The p esen pape is s uc u ed as ollows: he main heo e ical aspec s o en ep eneu ial
o ien a ion a e analysed and he hypo heses o be con as ed a e p esen ed in he ollowing
sec ion, whe e special a en ion is d awn on ho el es ablishmen s. Resea ch design is
explained nex , as well as he ques ionnai e used, he ield wo k comple ed, he sample and
a iable measu emen . The ou h sec ion is de o ed o discussing esul s. Finally,
conclusions and he mos ele an u u e implica ions and p esen limi a ions a e d awn and
analysed.
1"Acco ding o he Ba ome e o he Wo ld Tou ism O ganiza ion, he olume o in e na ional ou is s ( isi o s
spending he nigh ) in he whole wo ld eached 1,100 millions in 2014, hus unde going 4.7% g ow h ela i e o
he p e ious yea . Acco ding o hese sou ces, he e a e a ound 590,000 ho els in he wo ld, wi h mo e han 29
million beds."
""
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 3
2. Theo y and Hypo hesis
2.1. En ep eneu ial o ien a ion
In he las yea s, en ep eneu ial o ien a ion has been widely s udied in business li e a u e,
ecei ing conside able concep ual and empi ical a en ion. Besides, i is an a ea wi h a as -
g owing accumula i e co pus o knowledge (Basso e al., 2009; Rauch e al., 2009; A zubiaga
e al. 2012; Co in & Mille , 2013; Rod igo-Ala cón e al. 2013, He nández Pe lines, 2014).
Mille (1983) was he i s o alk abou en ep eneu ial o ien a ion and concei ed i as
i m beha iou cha ac e ised by inno a ion, p o-ac i eness and isk- aking. La e on, Co in &
Sle in (1989) comple ed Mille 's de ini ion s a ing ha a i m's en ep eneu ial o ien a ion
depends on he deg ee in which i a ou s change and inno a ion, aking isks and compe ing
agg essi ely (Mille & F iesen, 1983; Co in & Sle in, 1991; Knigh , 1997; Wiklund &
Shephe d, 2005).
On he o he hand, Fazul e al. (2010) s a e ha en ep eneu ial o ien a ion is he i m's
capaci y o pe o m inno a ion- ela ed ac i i ies, ake isks and pionee new ac ions.
The e o e, i is a decision making p ocess (Pa el & D'Souza, 2009) ha a ec s he i m's will
o inno a e, o be mo e p o-ac i e and agg essi e han i s compe i o s, and o ake isks (Ellis,
2011).
In his wo k we ha e ollowed Mille 's (1983) de ini ion o en ep eneu ial o ien a ion.
Acco ding o him, en ep eneu ial o ien a ion is a mul idimensional concep in eg a ed by he
cons an sea ch o inno a ion, p o-ac i eness and he will o ake mode a e isks. Inno a ion
is e e ed o he i m's capaci y o suppo new ideas and expe imen a ion, o in oduce new
p oduc s, and o use c ea i e p ocesses (Mille & F iesen, 1983; K opp e al., 2006; Chand a
e al. 2007). On he o he hand, p o-ac i eness is e e ed o he sea ch o he pionee 's
ad an age by means o an icipa ing he ma ke 's u u e desi es and needs, and he
capi aliza ion o eme ging business oppo uni ies (Co in & Sle in, 1989; Lumpkin & Dess,
1996). In sho , p o-ac i eness is he i m's capaci y o in ol e esou ces, in oducing new
p oduc s and se ices be o e compe i o s do, acco ding o p edic ions o u u e demand
(Co in & Sle in, 1991; Rauch e al., 2004; Sepul eda, 2010; Ma e al. 2012). Finally, isk-
aking en ails se ing o audacious ac ions in ol ing signi ican esou ce le els (Lumpkin &
Dess, 1996).
The di e en exis ing mul idimensional cons uc s o en ep eneu ial o ien a ion a e jus
di e en pe spec i es o his concep (Co in & Lumpkin, 2011). Thus, a se o wo ks (among
which Mille , 1983; Co in & Sle in, 1989; and Co in & Wales, 2012, s and ou ) s a e ha o
a i m o ha e en ep eneu ial o ien a ion, he a o emen ioned dimensions mus co a ia e
posi i ely. On he con a y, ano he se o wo ks (among which Lumpkin & Dess, 1996; and
Dai e al., 2013 s and ou ) s a e ha each dimension o he en ep eneu ial o ien a ion plays a
di e en ole. We ollow he i s en ep eneu ial-o ien a ion cons uc ion in his pape : i s
h ee dimensions mus co a ia e posi i ely o gi e ise o en ep eneu ial o ien a ion.
Mos esea ch wo ks a e ocused on analyzing he impac o en ep eneu ial o ien a ion on
i m pe o mance. Besides, en ep eneu ial o ien a ion is conside ed a undamen al
o ganiza ional p ocess (Hul e al., 2003) ha con ibu es o eassu e i m pe o mance
(Ba inge & Bluedo n, 1999; Dimi a os & Plakoyiannaki, 2003; Hi e al., 2001;
McDougall & O ia , 2000; and Mille , 1983). Taking his discussion in o accoun , he
ollowing hypo hesis is es ed:
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 4
H1: En ep eneu ial o ien a ion has a posi i e impac on ho el es ablishmen
pe o mance
2.2. Inno a ion
Inno a ion is “a i m’s endency o ake pa and suppo new ideas ha may esul in new
p oduc s, se ices o echnology p ocesses” (Lumpkin & Dess, 1996, p. 142). This endency
allows he i m o c ea e a wide se o abili ies ha a e an in aluable ool o compe i i eness
in he always changing business en i onmen (Godwin & Abaho, 2013).
Se e al wo ks s a e ha inno a ion, a he han any o he dimension, is always p esen in
e e y en ep eneu ial p ocess (Sha ma & Ch isman, 1999). Co po a i e en ep eneu ial
ac i i ies a e aimed a aking ad an age o ma ke oppo uni ies h ough inno a ion (I eland e
al., 2006). “Ou o he di e en en ep eneu ial-o ien a ion dimensions iden i ied in li e a u e,
inno a ion is, in a wide sense, an unde lying ac o sha ed by all o ms o co po a i e
en ep eneu ial ac i i y” (Co in & Mille , 1999, p. 47).
Inno a ion demands such a display o esou ces ha i will become p o i able only when
ini ial in es men s a e compensa ed (K eise e al., 2013). In o he wo ds, he highe he
inno a ion le el is, he be e he i m’s esul s shall be. This leads us o o mula e he
ollowing hypo hesis:
H2: Inno a ion has a posi i e impac on ho el es ablishmen pe o mance
2.3. P oac i eness
P o-ac i eness e lec s he i m’s will o domina e i s compe i o s by means o agg essi e
mo es such as he in oduc ion o new o inno a i e p oduc s o se ices, o he an icipa ion
o u u e demands (Ke e al., 2007). This pos u e allows ac ing on he ma ke ’s u u e
sho comings and po en ial needs, which c ea es a compe i i e ad an age (Lumpkin & Dess,
1996). In ou wo k p o-ac i eness has been conside ed one o he dimensions o co po a i e
en ep eneu ial o ien a ion, acco ding o he exis ing li e a u e on his issue. Thus, he
ollowing hypo hesis is o mula ed:
H3: P oac i eness has a posi i e impac on ho el es ablishmen pe o mance
2.4. Risk- aking
Risk- aking beha iou is “incu ing a la ge deb o comp omising la ge amoun s o
esou ces wi h he aim o ob aining high e u ns when aking con ol o ma ke oppo uni ies”
(Lumpkin & Dess, 1996, p. 144).
Fi ms ha a e capable o assuming high isk le els a e also capable o aking be e
ad an age o oppo uni ies and o ob aining highe long- e m p o i le els in a con ex o
ele a ed unce ain y (McG a h, 2001). Au ho s such as Rauch e al. (2004) and Seyed (2012)
s a e ha isk- aking is posi i ely ela ed o pe o mance.
H4: Risk- aking has a posi i e e ec on ho el es ablishmen pe o mance
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 5
3. Resea ch Design
3.1. Ques ionnai e and ield wo k
Gi en he na u e o his esea ch and he inexis ence o sou ces o seconda y da a, a
ques ionnai e was elabo a ed o da a collec ion pu poses. We ocused on ho el
es ablishmen s loca ed in Spain; he e o e, he sample is homogeneous and allows con olling
ce ain con ingency ac o s (Rauch e al., 2009).
Ques ionnai e elabo a ion was comple ed in se e al s ages. Fi s ly, a d a was made a e
e iewing li e a u e on en ep eneu ial o ien a ion and i m pe o mance. Secondly, o assu e
con en alidi y, a discussion and e lec ion p ocess was igge ed among some expe s in he
a o emen ioned ields. Nex , o gua an ee ha ques ionnai e i ems we e ully unde s andable,
a p e- es was comple ed wi h 2- o-5-s a ho el es ablishmen di ec o s. Su eys we e
comple ed by means o pe sonal in e iews o each esponden . A e his s age, ques ionnai e
was emailed o ho el es ablishmen di ec o s. A e a mon h’s ime, ques ionnai es we e
emailed again so as o inc ease he esponse a e (Dillman, 2000). The su ey was comple ed
be ween Janua y and June 2014. The di e en dimensions we e measu ed by means o 5-
poin Like scales (1=comple e disag eemen ; 5= ull ag eemen ).
Fo hypo hesis con as and analysis o esul s, a s uc u al equa ion mul i a ia e model
was used as a s a is ical echnique. Bea ing esea ch objec i es and hypo heses in mind, we
op ed o pa ial leas squa es (PLS) eg ession, which allows us o de elop componen - and
a iance-based analysis. PLS is a cu en ly well-es ablished echnique o s uc u al equa ion
analysis used in a wide ange o esea ches on o ganiza ion and s a egic managemen
(Robins e al., 2002; Tsang, 2002). PLS akes a componen -based app oach o he es ima ion
o he measu emen model and he s uc u al model; i is mainly aimed a p edic ing
depending a iables and allows quan i ying he di ec and indi ec impac o a iables on one
ano he .
3.2. Sample
The popula ion in his s udy includes 2- o-5-s a Spanish ho el es ablishmen s in he
O icial Spain Ho el Guide, published by Tu españa.
Table 1 – Field wo k ile
Sample size
3,900
Field
2- o-5-s a Spanish ho el es ablishmen s in Tu españa’s
O icial Ho el Guide
Ob ained answe s
102
Sampling p ocedu e
Simple andom
Con idence le el
95%, p=p=50%; α= 0.05
Answe a e
5.17%
Sampling e o
9.58%
Field wo k
Janua y-June 2014
Table 2 shows he mos ele an da a o he desc ip i e ea u es o he da a om he ho el
es ablishmen s unde s udy.

He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 6
Table 2 – Ob ained answe s
Ho el a ing
Posi ion o he pe son
su eyed
2 s a s
3 s a s
4 s a s
5 s a s
20.94%
34.88%
9.30%
34.88%
Ho el di ec o /depu y
100%
Es ablishmen age
Es ablishmen size
> 25 yea s
10-25 yea s
< 10 yea s
25.58%
30.23%
44.19%
Small
Medium
La ge
41.86%
41.86%
16.28%
Pa o a ho el
chain?
Loca ion
Yes
No
48.83%
51.17%
Town
Ru al
97.67%
2.33%
3.3. Va iable measu emen
En ep eneu ial o ien a ion and ho el es ablishmen pe o mance ha e been de ined as
la en a iables o o ma i e kind, since hey a e wo complex-na u e cons uc s composed by
e y di e en dimensions (Diaman opoulos & Winklho e , 2001; Ja is e al., 2003;
MacKenzie e al., 2005).2
To measu e en ep eneu ial o ien a ion, 9 i ems we e used acco ding o he scale p oposed
by Mille (1983), modi ied by Co in & Sle in (1989) and Co in & Mille (2014), and used
by Balabanis & Ka sikeas (2004); Dimi a os e al. (2004); Zhou (2007); Kui alainen e al.
(2007, 2010); E cheba ne e al. (2010); Sundq is e al. (2012); Zhang e al. (2012), and
Co in & Mille (2014).
To measu e ho el es ablishmen pe o mance, we used he 7-i em scale p oposed by
Camisón & Villa -López (2010) and used by Ga cía-Ola e i & Hue a (2012), Luengo &
Obeso (2013), and Miguel-Dá ila & Ma ín-Sánchez (2014).
4.- Resul s and Discussion
Fo da a in e p e a ion and analysis, a PLS s uc u al equa ion model (SEM) was used
wi h so wa e package SMARTPLS 3.1.9. PLS is pa icula ly in e es ing in his s udy o
mul iple easons. Following Ringle, Wende & Will (2005), and Ge en, Rigdon & S aub
(2011), he choice o PLS is conside ed mo e app op ia e in he i s s ages o heo y
de elopmen , when esea ch is ocused on he p edic ion o one o mo e dependen a iables.
Ou s udy is aimed a de e mining how en ep eneu ial o ien a ion and/o i s dimensions
de e mine ho el es ablishmen pe o mance le el. Besides, his me hod is especially use ul
when esea che s include scales p e iously es ed and alida ed in o he s udies: in his case,
en ep eneu ial o ien a ion and i s dimensions had al eady been es ed in nume ous empi ical
s udies. Finally, ela i ely small sample size makes PLS a sui able me hod. Following
Reina z, Haenlein & Hensele (2009, p. 334): “PLS mus be he me hod o choose in all
2"In he case o pe o mance, quan i a i e and quali a i e dimensions a e combined. "
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 7
si ua ions in which he numbe o obse a ions is below 250”. The e o e, he choice o PLS is
ully jus i ied by he educed amoun o obse able da a and esea ch objec i es hemsel es
(Ba oso e al., 2005).
Al hough PLS simul aneously es ima es he pa ame e s o he measu emen and he
s uc u al models, analyses mus be comple ed in wo s ages: measu emen model e alua ion
and s uc u al model e alua ion. This p ocedu e assu es alid and eliable scales p io o
es ing hypo heses.
4.1. Measu emen model e alua ion
The i s hing we shall check is he loading o he dimensions ha in eg a e
en ep eneu ial o ien a ion, aken as a second-o de a iable. Following p e ious app oaches,
en ep eneu ial o ien a ion was concei ed as a 3D mul idimensional cons uc (Mille , 1983;
Co in & Sle in, 1989; Co in & Mille , 2014): inno a ion, p o-ac i eness, and isk- aking.
PLS allows no di ec inclusion o second-o de cons uc s, so his kind o cons uc s was
c ea ed by means o a 2-s ep app oxima ion me hod (We zels, Odeke ken-Sch ode & Van
Oppen, 2009). This p ocedu e implies ha a i s s age comp ises he ac o s ha cons i u e
en ep eneu ial o ien a ion in he model as a i s -o de cons uc . This i s es ima ion allows
ob aining he alues o he la en a iable ‘En ep eneu ial O ien a ion’. The second s age
es ima es he second-o de model using he alues o he la en a iable’s i s -o de ac o s as
inpu a iables.
Following ecommenda ions by Roldán & Sánchez-F anco (2012), once he second-o de
model had been cons uc ed, he measu emen model was e alua ed. Table 3 shows he
pa ame e s associa ed o measu emen model e alua ion. As i can be obse ed in e lec i e
scales, ac o loadings do no exceed he 0.7 ecommended in li e a u e (Ca mines & Zelle ,
1979). Howe e , some au ho s s a e ha his 0.7 h eshold should no be conside ed so igidly
in second-o de a iables, as i may ac ually be a ound 0.5 (Ba clay, Higgins & Thompson,
1995; Chin, 1998). Mo eo e , composi e eliabili y and a e age a iance ex ac ed (AVE)
alues exceed he ecommended limi s o 0.7 and 0.5, espec i ely (Nunnally, 1978; Fo nell
& La cke , 1981). The ob ained alues suppo he con e gen alidi y o he e lec i e scales
conside ed in he p esen s udy.
Tabla 3 – Measu emen model e alua ion
Cons uc /
dimension/indica o
VIF
Weigh
Fac o
loading
(ρc)
Composi e
eliabili y
AVE
ENTREPRENEURI
AL ORIENTATION
(second-o de o ma i e
cons uc )
n. a.
n. a.
INNOVATION
( i s -o de e lec i e
cons uc )
1.052
0.700
0.907
0.764
INN1
INN2
INN3
0.869
0.824
0.923
PROACTIVENESS
( i s -o de e lec i e
2.563
0.564
0.782
0.661
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 8
cons uc )
PRO-ACT1
PRO-ACT2
PRO-ACT3
0.707
0.917
0.830
RISKTAKING ( i s -
o de e lec i e
cons uc )
2.637
0.526
0.721
0.561
RISK1
RISK2
RISK3
0.577
0.668
0.721
PERFORMANCE
(second-o de
o ma i e cons uc )
n. a.
n. a.
ECONOMIC
PERFORMANCE
( i s -o de e lec i e
cons uc )
1.365
0.597
0.756
0.517
EC PER1
EC PER2
EC PER3
0.617
0.701
0.754
SATISFACTION
PERFORMANCE
( i s -o de e lec i e
cons uc )
1.771
0.899
0.881
0.652
SAT PER1
SAT PER2
SAT PER3
SAT PER4
0.826
0.894
0.840
0.822
Diaman opoulos’ (2008) ecommenda ions we e aken in o accoun in o ma i e scale
alida ion (‘En ep eneu ial O ien a ion’ and ‘Pe o mance’). No indica o could be
elimina ed, as hey we e conside ed o bea ele an in o ma ion. Absence o mul icollinea i y
was assu ed by means o he a iance in la ion ac o (VIF), which was below 5
(Diaman opoulos & Wilklho e , 2001).
4.2. S uc u al model analysis
Once he measu emen model’s con e gen and disc iminan alidi y had been p o en, he
ela ionships be ween he di e en a iables we e es ed by boo s apping (1000 sub-
samples). This s uc u al model was examined h ough he signi icance o β coe icien s
h ough he obse a ion o he dependan a iables’ R2 alues. In his sense, all β coe icien s
p o ed signi ican a 1%.
The hypo heses we e con i med h ough he in e p e a ion o he coe icien s o he
s uc u al ajec o ies:
1 – En ep eneu ial o ien a ion has a signi ican impac on pe o mance (β = 0.590; =
5.385),
2 – Inno a ion has a posi i e impac on pe o mance (β = 0.447; = 5.120),
He nández Pe lines y Yañez A aque. En ep eneu ial o ien a ion in ho el es ablishmen s
2nd In e na ional Symposium on Pa ial Leas Squa es Pa h Modeling, Se ille (Spain), 2015 9
3 – P o-ac i eness has a posi i e impac on ho el es ablishmen pe o mance (β = 0.391;
= 3.934), and, inally,
4 – Risk- aking has a posi i e impac on ho el es ablishmen pe o mance (β = 0.364; =
3.269).
Table 4 – S uc u al model esul s
Hypo hesis
Β
- alue
R2
H1: EO !D
0.590
5.385*
0.348
H2: I !D
0.447
5.120*
0.200
H3: PROAC!D
0.391
3.934*
0.153
H4: ASUN!D
0.364
3.269*
0.132
No e: *p < 0.01.
Finally, en ep eneu ial o ien a ion explains 34.8% o he a iance in ho el es ablishmen
pe o mance, while inno a ion, p o-ac i eness and isk- aking explain 20, 15.3 and 13.2%,
espec i ely. Acco ding o his esul , he in eg a ed app oach, as sugges ed a he beginning
o he p esen wo k, has g ea e impac on ho el es ablishmen pe o mance han each o i s
dimensions aken independen ly.
5. Conclusions, Limi a ions and Fu u e Resea ch Lines
The esul s o his wo k deal wi h he ela ionship be ween en ep eneu ial o ien a ion and
ho el es ablishmen pe o mance, on one hand, and be ween each o he h ee dimensions ha
shape en ep eneu ial o ien a ion (namely, inno a ion, p o-ac i eness and isk- aking) and
ho el es ablishmen pe o mance, on he o he hand. These esul s co obo a e he p oposed
heo e ical model, which was es ed on a sample o 102 ho el es ablishmen s loca ed in Spain.
Resul s p o ide ele an implica ions o esea che s and p o essionals ela ed wi h ho el
managemen .
Resul s con i m ha ho el es ablishmen pe o mance depends on en ep eneu ial
o ien a ion, which explains 34.8% o he o me ’s a iance, in ag eemen wi h p e ious
esea ches (Zah a & Co in, 1995; Tajeddini, 2010; Tang & Tang, 2012). On he o he hand, i
he indi idual e ec o each indi idual dimension is analysed, all h ee can be obse ed o
ha e a posi i e impac on ho el es ablishmen pe o mance: inno a ion, p o-ac i eness and
isk- aking explain 20, 15.3 and 13.2% o pe o mance a iance. The e o e, inno a ion is he
mos ele an dimension in en ep eneu ship o ien a ion, as sugges ed in o he p e ious
esea ches (Sand ik, Duhan & Sand ik, 2014; Tajeddini & T ueman, 2014).
Finally, he mos ele an conclusion o he p esen wo k is ha he join impac o hese
h ee dimensions on ho el es ablishmen pe o mance exceeds he indi idual each o each o
he conside ed dimensions. In sho , he hesis p oposed by Mille (1983), Co in & Sle in
(1989), and Co in & Mille (2014), among o he s, is co obo a ed.
This wo k has i s limi a ions. Fi s ly, only objec i e measu es we e used in he
measu emen o en ep eneu ial o ien a ion and i s dimensions. Secondly, his is a ans e sal
s udy, whe eas longi udinal s udy is needed o e alua e he di ec ion o causali y in he
s udied issues. Thi dly, he model should include he e ec o in e nal and ex e nal a iables
ha may mode a e he ela ionship be ween en ep eneu ial o ien a ion and pe o mance.
Fou hly, i would be ad isable o supplemen his esea ch wi h quali a i e app oaches,