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Global Jou nal o Resea ch in Humani ies & Cul u al S udies
ISSN: 2583-2670 (Online)
Volume 05 | Issue 06 | No .-Dec. | 2025
Jou nal homepage: h ps://gj publica ion.com/gj hcs/
Resea ch A icle
P omo ing Inno a ion and En ep eneu ship in Academic Leade ship: Insigh s om
Uzbekis an’s Highe Educa ion Sys em
*Fo ima Naza o a 1, Shaxnoza Mu azae a 2
1 DSc, P o esso , Tashken S a e Uni e si y o Economics, Tashken , Uzbekis an.
2 Senio Lec u e , Banking and Finance Academy o he Republic o Uzbekis an
*Co esponding au ho : Fo ima Naza o a
DSc, P o esso , Tashken S a e Uni e si y o Economics, Tashken , Uzbekis an.
INTRODUCTION
In he 21s cen u y, highe educa ion sys ems a ound he wo ld ha e en e ed a s age o con inuous ans o ma ion d i en
by inno a ion, digi aliza ion, and en ep eneu ial hinking. Uni e si ies a e no longe limi ed o p o iding academic
ins uc ion bu ha e e ol ed in o complex o ganiza ions ha gene a e inno a ion, os e en ep eneu ial ecosys ems, and
se e as ca alys s o egional and na ional economic de elopmen . As a esul , he ole o academic leade ship has
expanded beyond adi ional adminis a i e managemen owa d inno a ion-o ien ed and en ep eneu ship-d i en
go e nance models (E zkowi z & Leydesdo , 2000; Gue e o e al., 2021).
In Uzbekis an, he apid mode niza ion o highe educa ion is a co ne s one o he na ional S a egy o Inno a i e
De elopmen (2019–2030), which p io i izes inno a ion-based economic g ow h and he c ea ion o a knowledge socie y.
The go e nmen has ini ia ed comp ehensi e e o ms o s eng hen ins i u ional au onomy, imp o e quali y assu ance
mechanisms, and os e inno a ion-led managemen p ac ices. Howe e , despi e hese e o ms, many highe educa ion
ins i u ions (HEIs) in Uzbekis an s ill s uggle o implemen inno a ion-o ien ed leade ship and en ep eneu ial s a egies
e ec i ely. The gap be ween policy goals and ins i u ional p ac ice emains signi ican , la gely due o bu eauc a ic
igidi y, insu icien leade ship aining, and limi ed access o inno a ion esou ces.
Abs ac
The mode niza ion o highe educa ion in Uzbekis an equi es academic leade s o adop inno a i e and
en ep eneu ial app oaches o go e nance. This s udy in es iga es he ole o inno a ion-o ien ed leade ship in
enhancing ins i u ional e iciency and en ep eneu ial capaci y ac oss Uzbekis an’s highe educa ion sys em. The
esea ch was conduc ed using a mixed-me hods design, combining su ey analysis (N=120 esponden s) and semi-
s uc u ed in e iews (n=20) wi h uni e si y adminis a o s. The esul s demons a e a s ong co ela ion be ween
leade ship au onomy, inno a ion p ac ices, and o ganiza ional pe o mance (R² = 0.71). The s udy de elops a
concep ual model linking inno a i e leade ship, en ep eneu ial s a egy, and ins i u ional e ec i eness.
Reg ession analysis con i ms ha uni e si ies wi h highe inno a ion-o ien ed go e nance exhibi a 23% highe
pe o mance index compa ed o adminis a i ely managed ins i u ions. Majo ba ie s iden i ied include
bu eauc a ic igidi y, insu icien digi al li e acy, and weak ins i u ional incen i e sys ems. The esea ch
con ibu es o bo h heo e ical and p ac ical unde s anding o inno a ion-led academic go e nance by p oposing
s a egic mechanisms o p omo ing en ep eneu ship and inno a ion in Uzbekis an’s uni e si ies. The indings
o e policy insigh s o highe educa ion e o ms aimed a s eng hening ins i u ional adap abili y,
compe i i eness, and knowledge-based de elopmen .
Keywo ds: inno a i e leade ship; en ep eneu ship in highe educa ion; academic go e nance; ins i u ional
e iciency; Uzbekis an; inno a ion s a egy; highe educa ion e o m.
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Globally, he success o highe educa ion e o ms is inc easingly linked o he en ep eneu ial capaci y o uni e si y
leade s (Cla k, 1998; Jones e al., 2018). Inno a i e leade ship—cha ac e ized by c ea i i y, lexibili y, s a egic ision,
and he abili y o p omo e en ep eneu ial cul u e—is ecognized as a c i ical de e minan o ins i u ional compe i i eness
and sus ainabili y. In ansi ion economies such as Uzbekis an, whe e uni e si ies ope a e in dynamic and o en uns able
en i onmen s, inno a ion-o ien ed leade ship plays a decisi e ole in ensu ing ha ins i u ions adap o digi al
ans o ma ion, global compe i ion, and knowledge-based economic demands.
Howe e , he empi ical unde s anding o how inno a i e leade ship in luences en ep eneu ship and pe o mance in
Uzbekis an’s highe educa ion sys em emains limi ed. The e is a clea need o explo e how uni e si y leade s
concep ualize, implemen , and sus ain inno a ion-d i en ini ia i es wi hin local ins i u ional and cul u al con ex s. This
s udy add esses his esea ch gap by examining he mechanisms h ough which academic leade s in Uzbekis an p omo e
inno a ion and en ep eneu ship, and by iden i ying s a egic ac o s ha enhance hei e ec i eness.
Resea ch Hypo hesis. I is hypo hesized ha he e iciency and compe i i eness o highe educa ion ins i u ions in
Uzbekis an can be signi ican ly imp o ed h ough inno a ion-o ien ed leade ship p ac ices ha os e en ep eneu ial
cul u e, s a egic lexibili y, and ins i u ional au onomy.
Resea ch Goal. To analyze and p opose an e idence-based model o p omo ing inno a ion and en ep eneu ship in
academic leade ship wi hin Uzbekis an’s highe educa ion ins i u ions.
Resea ch Objec i es: o e iew he heo e ical ounda ions o inno a ion and en ep eneu ship in highe educa ion
leade ship; o assess he cu en s a e o inno a i e and en ep eneu ial p ac ices in Uzbek uni e si ies; o iden i y
ins i u ional and manage ial ba ie s limi ing inno a ion-based go e nance; o design a concep ual model demons a ing
he ela ionship be ween inno a i e leade ship and ins i u ional pe o mance; o p opose s a egic ecommenda ions o
s eng hening inno a ion and en ep eneu ship in academic leade ship.
Scien i ic No el y. This esea ch is among he i s comp ehensi e s udies add essing inno a ion-o ien ed academic
leade ship in Uzbekis an. I con ibu es a concep ual model explaining he causal ela ionship be ween inno a ion,
en ep eneu ship, and ins i u ional e iciency. Mo eo e , i p o ides empi ical e idence and s a egic ecommenda ions
ailo ed o he pos -So ie highe educa ion con ex .
P ac ical Signi icance. The esul s o his s udy a e expec ed o suppo he ongoing mode niza ion o highe educa ion in
Uzbekis an by p o iding da a-d i en insigh s in o how leade ship e o ms, aining p og ams, and s a egic au onomy can
os e a mo e inno a i e and en ep eneu ial academic en i onmen .
LITERATURE REVIEW
Inno a ion and en ep eneu ship ha e become co e concep s in he go e nance o highe educa ion ins i u ions (HEIs). In
he global con ex , uni e si ies a e inc easingly expec ed o ope a e as dynamic, sel -sus aining en i ies capable o
p oducing new knowledge and d i ing socio-economic inno a ion (E zkowi z & Leydesdo , 2000; Gue e o e al.,
2021). Academic leade ship hus plays a decisi e ole in ins i u ional ans o ma ion—se ing as bo h a s a egic ca alys
and a manage ial amewo k o de eloping inno a i e and en ep eneu ial ecosys ems (Cla k, 1998; Gumpo , 2000).
The a ionale o selec ing his opic lies in he g owing ecogni ion ha leade ship models in highe educa ion mus
e ol e om adminis a i e managemen owa d en ep eneu ial and inno a ion-d i en pa adigms (Jones e al., 2018;
Kalimullin, 2019). In Uzbekis an, whe e highe educa ion e o ms a e accele a ing unde he S a egy o Inno a i e
De elopmen (2019–2030), his ansi ion is pa icula ly i al o s eng hening ins i u ional compe i i eness and aligning
na ional educa ion wi h global s anda ds.
Ea ly s udies on en ep eneu ial uni e si ies (Cla k, 1998) in oduced he concep o he “en ep eneu ial uni e si y”,
emphasizing leade ship’s abili y o in eg a e eaching, esea ch, and inno a ion. E zkowi z and Leydesdo (2000)
expanded his h ough he T iple Helix Model, desc ibing how uni e si y–indus y–go e nmen collabo a ion os e s
inno a ion ecosys ems.
Subsequen wo ks (Gibb, 2012; Ki by, 2006) u he concep ualized en ep eneu ial leade ship as a p ocess o cul i a ing
o ganiza ional cul u e, c ea i i y, and esponsi eness. Jones e al. (2018) ound ha leade ship s a egies emphasizing
inno a ion signi ican ly inc eased ins i u ional pe o mance and s a engagemen .
In con as , adi ional adminis a i e leade ship models we e c i icized o hei igidi y and lack o adap abili y
(Middlehu s , 2010). This led o new amewo ks highligh ing ans o ma ional, pa icipa o y, and inno a ion-cen e ed
leade ship (No house, 2019; Bolden e al., 2020).
Global empi ical s udies demons a e ha uni e si ies emb acing inno a i e managemen p ac ices exhibi s onge links
wi h indus y and achie e highe esea ch ou pu s (Ro hae mel e al., 2007; Gue e o & U bano, 2012). Eu opean and
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Eas Asian HEIs show how inno a ion-d i en go e nance con ibu es o comme cializa ion, knowledge ans e , and
ins i u ional sus ainabili y (Wang & Ahmed, 2022).
Digi al ans o ma ion has also become a cen al componen o inno a ion leade ship. Zawacki-Rich e (2020) ound ha
digi al leade ship co ela es posi i ely wi h inno a ion capaci y and o ganiza ional lea ning. S udies in Finland (S en all
& Lai inen, 2021) and Singapo e (Lim e al., 2023) e ealed ha leade ship aining in inno a ion managemen di ec ly
imp o es eaching quali y and esea ch p oduc i i y.
In he pos -So ie space, inno a ion-o ien ed go e nance emains a an ea ly s age o de elopmen . Resea ch by
Kalimullin (2019) and Sku a o (2020) demons a ed ha leade ship models in Cen al Asian uni e si ies a e s ill la gely
bu eauc a ic and cen alized. Howe e , na ional inno a ion policies a e c ea ing oppo uni ies o ans o ma ion.
In Russia, o example, Shi oko a e al. (2020) highligh ed how leade ship au onomy enhanced en ep eneu ial ac i i y
among acul y. Simila ly, in Kazakhs an and Ky gyzs an, uni e si y e o ms in eg a ing inno a ion aining ha e led o
measu able inc eases in applied esea ch ou pu (Baimeno , 2022).
Fo Uzbekis an, s udies by Abdu akhmono (2023), Ka imo & Djalilo a (2024), and Kholikulo (2024) no e ha while
inno a ion ini ia i es a e expanding, leade ship compe ency and ins i u ional independence emain limi ed. Mos HEIs
con inue o ely on adi ional adminis a i e p ac ices, wi h insu icien s a egic planning o en ep eneu ial
de elopmen .
Me hodologically, s udies on inno a i e leade ship employ mixed app oaches combining su eys, in e iews, and
eg ession modeling (Gue e o e al., 2021; O’Reilly & Binns, 2019). Quan i a i e me hods domina e empi ical analyses,
ocusing on ela ionships be ween leade ship p ac ices, inno a ion indices, and ins i u ional pe o mance. Quali a i e
app oaches, such as case s udies (Leih & Teece, 2016), p o ide nuanced insigh s in o o ganiza ional cul u e and
ans o ma ion p ocesses.
In Uzbekis an, ew empi ical s udies ha e applied such igo ous mixed-me hods amewo ks. Mos ely on desc ip i e o
no ma i e analysis, lacking s a is ical es ing o causal modeling. The e o e, his s udy seeks o ill ha me hodological
gap by de eloping a concep ual and empi ical model o examine how academic leade ship p omo es inno a ion and
en ep eneu ship.
The e iewed li e a u e con i ms ha inno a i e and en ep eneu ial leade ship is a key de e minan o ins i u ional
e ec i eness and adap abili y in highe educa ion. Theo e ical and empi ical wo ks highligh ha inno a ion-o ien ed
go e nance enhances esea ch p oduc i i y, uni e si y–indus y collabo a ion, and socie al impac . Howe e , signi ican
esea ch gaps pe sis ega ding: he empi ical assessmen o inno a ion leade ship in ansi ional economies; he
de elopmen o measu able models linking leade ship o en ep eneu ship ou comes; he speci ic challenges aced by
uni e si y leade s in implemen ing inno a ion wi hin cen alized managemen sys ems.
Thus, his s udy builds upon he exis ing li e a u e by p oposing a concep ual model ha explains how inno a ion-
o ien ed leade ship in luences ins i u ional pe o mance wi hin Uzbekis an’s highe educa ion sys em. I also in oduces
empi ical es ing o alida e hese ela ionships and gene a e e idence-based policy ecommenda ions.
MATERIALS AND METHODS
This s udy adop s a mixed-me hods design ha combines bo h quan i a i e and quali a i e app oaches o ensu e
comp ehensi e unde s anding o he ole o inno a ion and en ep eneu ship in academic leade ship. Quan i a i e da a
we e collec ed h ough s uc u ed su eys o measu e he ela ionships be ween leade ship s yle, inno a ion ac i i y, and
ins i u ional pe o mance. Quali a i e da a we e ob ained om semi-s uc u ed in e iews wi h uni e si y adminis a o s
o explo e con ex ual and beha io al aspec s o leade ship.
The mixed design allows iangula ion and alida ion o esul s, ensu ing ha s a is ical indings a e complemen ed by
in-dep h quali a i e in e p e a ions. This me hodological plu alism s eng hens in e nal and ex e nal alidi y and aligns
wi h in e na ional s anda ds o educa ional managemen esea ch (C eswell & Plano Cla k, 2018).
The sample consis ed o 15 highe educa ion ins i u ions (HEIs) ac oss Uzbekis an, including: 5 na ional uni e si ies, 5
egional uni e si ies, and 5 p i a e uni e si ies. A o al o 120 esponden s pa icipa ed in he su ey ( ec o s, ice-
ec o s, deans, and depa men heads), and 20 pa icipan s we e in ol ed in he in-dep h in e iews. The ins i u ions we e
selec ed based on di e si y in owne ship, geog aphical ep esen a ion, and engagemen in inno a ion-o ien ed p ojec s.
Table 1 p esen s he composi ion o he esea ch sample.
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Table 1. Resea ch Sample Composi ion
Type o Uni e si y
Numbe o Ins i u ions (n)
Responden s (n)
Na ional
Uni e si ies
5
40
Regional
Uni e si ies
5
45
P i a e Uni e si ies
5
35
To al
15
120
Su ey Ques ionnai e: A s uc u ed ins umen wi h 25 i ems measu ed on a i e-poin Like scale (1 – S ongly
Disag ee o 5 – S ongly Ag ee). The ques ionnai e included dimensions such as leade ship au onomy, inno a ion
cul u e, ins i u ional lexibili y, and en ep eneu ship p omo ion.
Semi-S uc u ed In e iews: Conduc ed wi h 20 senio adminis a o s o cap u e quali a i e insigh s abou ba ie s,
mo i a ions, and s a egies ela ed o inno a ion leade ship.
Documen Analysis: Ins i u ional s a egic plans, na ional policy documen s, and inno a ion p ojec epo s we e
e iewed o con ex ualize indings.
The esea ch model comp ises h ee main a iables: Independen Va iable: Inno a ion-O ien ed Leade ship (IOL);
Media ing Va iable: En ep eneu ial Cul u e (EC); Dependen Va iable: Ins i u ional Pe o mance (IP). Table 2 shows
ope a ional de ini ions and measu emen me hods.
Table 2. Va iables Desc ip ion and Measu emen
Va iable
Ope a ional De ini ion
Measu emen App oach
Inno a ion-O ien ed
Leade ship (IOL)
The abili y o academic leade s o p omo e c ea i e hinking,
digi al ans o ma ion, and s a egic inno a ion.
Like -scale su ey (8
i ems)
En ep eneu ial Cul u e
(EC)
Sha ed ins i u ional alues and p ac ices encou aging isk-
aking, ini ia i e, and c ea i i y.
Su ey (6 i ems) +
quali a i e coding
Ins i u ional Pe o mance
(IP)
E ec i eness o HEI in achie ing inno a ion goals, esea ch
ou pu s, and s akeholde sa is ac ion.
Composi e index
(inno a ion KPI da a)
The concep ual model (Figu e 1) is based on he p emise ha inno a ion-o ien ed leade ship di ec ly and indi ec ly
a ec s ins i u ional pe o mance h ough he media ing ole o en ep eneu ial cul u e.
Figu e 1. Concep ual Model o Inno a ion-O ien ed Academic Leade ship
This model in eg a es heo ies om Cla k’s (1998) En ep eneu ial Uni e si y amewo k, E zkowi z’s T iple Helix
model, and mode n leade ship inno a ion heo y (Gue e o e al., 2021). The hypo hesis assumes ha e ec i e
inno a ion-o ien ed leade ship os e s en ep eneu ial cul u e, which in u n s eng hens ins i u ional pe o mance and
sus ainabili y.
The quan i a i e da a we e analyzed using SPSS and R s a is ical so wa e. Applied me hods included: Desc ip i e
s a is ics (mean, s anda d de ia ion, equency dis ibu ion); Co ela ion analysis (Pea son’s ) o es linea ela ionships;
Mul iple eg ession analysis o e alua e he impac o independen a iables on ins i u ional pe o mance; ANOVA es s
o compa ing means ac oss uni e si y ypes.
Quali a i e in e iew da a we e coded hema ically using NVi o so wa e. Coding ca ego ies included inno a ion
s a egy, leade ship s yle, and o ganiza ional ba ie s. T iangula ion ensu ed eliabili y be ween quan i a i e and
quali a i e indings.
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All pa icipan s p o ided in o med consen . Da a con iden iali y and anonymi y we e gua an eed. E hical app o al was
g an ed by he Academic Resea ch Commi ee o he Tashken Ins i u e o Economics (P o ocol No. 24/2025).
RESULTS
A o al o 120 alid esponses we e analyzed (40 om na ional uni e si ies, 45 om egional uni e si ies, and 35 om
p i a e ins i u ions). The demog aphic s uc u e o esponden s included 62% male and 38% emale pa icipan s, wi h an
a e age leade ship expe ience o 9.4 yea s (SD = 3.1). The desc ip i e s a is ics o key a iables a e p esen ed in Table 3.
Table 3. Desc ip i e S a is ics o Main Va iables (N=120)
Va iable
Mean (M)
S anda d De ia ion (SD)
Inno a ion-O ien ed Leade ship (IOL)
4.12
0.54
En ep eneu ial Cul u e (EC)
3.87
0.68
Ins i u ional Pe o mance (IP)
4.05
0.49
No e: Table 3 shows ha leade ship and pe o mance sco es a e consis en ly abo e he neu al midpoin (3.0), indica ing
a gene ally posi i e inno a ion clima e ac oss HEIs.
Pea son co ela ion coe icien s we e calcula ed o explo e linea ela ionships among a iables. Resul s a e summa ized
in Table 4.
Table 4. Co ela ion Ma ix
Co ela ion Ma ix (N=120)
IOL
EC
IP
Inno a ion-O ien ed Leade ship (IOL)
1
En ep eneu ial Cul u e (EC)
0.71**
1
Ins i u ional Pe o mance (IP)
0.67**
0.74**
1
No e: p < 0.01 signi icance le el. In e p e a ion: The e is a s ong posi i e co ela ion be ween inno a ion-o ien ed
leade ship and ins i u ional pe o mance ( = 0.67), and be ween en ep eneu ial cul u e and pe o mance ( = 0.74).
A mul iple linea eg ession model was cons uc ed o es he hypo hesis ha Inno a ion-O ien ed Leade ship (IOL) and
En ep eneu ial Cul u e (EC) p edic Ins i u ional Pe o mance (IP).
Table 5. Reg ession Model Summa y
R
0.842
R²
0.710
Adjus ed R²
0.703
F- alue
89.37 (p <0.001)
P edic o s
β
p
Inno a ion-O ien ed Leade ship (IOL)
0.42
6.31
<0.001
En ep eneu ial Cul u e (EC)
0.51
7.84
<0.001
No e: The model explains 71% o he a iance in ins i u ional pe o mance, indica ing a s ong p edic i e powe o he
p oposed a iables.
Figu e 2: illus a es he ela ionship be ween inno a ion-o ien ed leade ship and ins i u ional pe o mance.
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Figu e 3: Shows he compa a i e inno a ion index among di e en ypes o uni e si ies.
In e p e a ion: Na ional uni e si ies show he highes inno a ion pe o mance, ollowed by egional and p i a e HEIs,
con i ming leade ship’s cen al ole in d i ing inno a ion-based ou comes.
DISCUSSION
This s udy explo ed how inno a ion-o ien ed leade ship in luences en ep eneu ial cul u e and ins i u ional pe o mance
wi hin Uzbekis an’s highe educa ion ins i u ions. The indings con i m he p oposed concep ual model and alida e he
esea ch hypo hesis.
The eg ession analysis e ealed ha inno a ion-o ien ed leade ship and en ep eneu ial cul u e join ly accoun o 71%
o he a iance in ins i u ional pe o mance, demons a ing a obus and s a is ically signi ican ela ionship.
These indings a e consis en wi h he T iple Helix model (E zkowi z & Leydesdo , 2000) and Cla k’s (1998)
En ep eneu ial Uni e si y amewo k, bo h emphasizing leade ship’s ca aly ic ole in inno a ion. Simila pa e ns ha e
been obse ed globally: Gue e o e al. (2021) ound ha inno a ion-o ien ed leade ship inc eased ins i u ional esilience,
while Wang & Ahmed (2022) con i med ha en ep eneu ial cul u e media es he ela ionship be ween leade ship and
pe o mance.
In Uzbekis an’s case, howe e , s uc u al and cul u al ba ie s—such as igid bu eauc a ic sys ems, low digi al eadiness,
and insu icien leade ship au onomy— emain signi ican challenges. These cons ain s slow he p ac ical
implemen a ion o inno a ion s a egies despi e a o able policy condi ions.
Th ee p oblem a eas we e iden i ied: Limi ed leade ship au onomy: Many HEIs s ill ely hea ily on minis e ial app o al,
educing lexibili y; Insu icien p o essional de elopmen : Leade ship aining p og ams on inno a ion managemen
emain sca ce; Resou ce cons ain s: Weak inancial independence limi s long- e m inno a ion p ojec s.
Fu u e esea ch should in es iga e longi udinal e ec s o leade ship e o ms and assess he impac o digi al
ans o ma ion policies on ins i u ional en ep eneu ship.
CONCLUSION
The s udy aimed o examine how inno a ion-o ien ed academic leade ship con ibu es o p omo ing en ep eneu ship and
imp o ing ins i u ional pe o mance in Uzbekis an’s highe educa ion sys em. Empi ical esul s con i m he hypo hesis
ha inno a i e leade ship posi i ely a ec s ins i u ional pe o mance, bo h di ec ly and indi ec ly, h ough
en ep eneu ial cul u e.
Main Findings: Inno a ion-o ien ed leade ship and en ep eneu ial cul u e oge he explain 71% o ins i u ional
pe o mance a iance (R² = 0.71); Leade ship au onomy and s a egic ision signi ican ly enhance inno a ion ou comes
(β = 0.42, p < 0.001); En ep eneu ial cul u e media es he leade ship–pe o mance ela ionship (β = 0.51, p < 0.001);
Bu eauc a ic ba ie s and digi al skill de ici s emain key limi a ions.
Theo e ically, his esea ch ex ends he en ep eneu ial uni e si y concep o a ansi ion economy con ex . P ac ically, i
o e s a alida ed model o os e ing inno a ion-d i en go e nance in highe educa ion. The indings sugges ha
enhancing leade ship au onomy, digi al compe ency, and o ganiza ional cul u e is c i ical o sus aining inno a ion-based
educa ional e o m.
Global J Res Human Cul S ud. 2026; 5(6), 16-23
@ 2025 | PUBLISHED BY GJR PUBLICATION, INDIA
22
Recommenda ions: In oduce sys ema ic leade ship aining in inno a ion and en ep eneu ship managemen ; S eng hen
uni e si y au onomy and inancial lexibili y; Fos e digi al ans o ma ion o enhance inno a ion capaci y; Es ablish
pe o mance-based incen i es o inno a ion ou comes.
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