He, Mingqiang; Chang, Tin-Chang; Chenggang, Wu; Kien, Pham Van
A icle
Does g een knowledge managemen build success ul
g een en u es in he p esence o inno a i e p ac ices and
knowledge-sha ing beha iou
Jou nal o Inno a ion & Knowledge (JIK)
P o ided in Coope a ion wi h:
Else ie
Sugges ed Ci a ion: He, Mingqiang; Chang, Tin-Chang; Chenggang, Wu; Kien, Pham Van (2024) :
Does g een knowledge managemen build success ul g een en u es in he p esence o inno a i e
p ac ices and knowledge-sha ing beha iou , Jou nal o Inno a ion & Knowledge (JIK), ISSN
2444-569X, Else ie , Ams e dam, Vol. 9, Iss. 4, pp. 1-11,
h ps://doi.o g/10.1016/j.jik.2024.100618
This Ve sion is a ailable a :
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Does g een knowledge managemen build success ul g een en u es in he
p esence o inno a i e p ac ices and knowledge-sha ing beha iou
Mingqiang He
a
, Tin-Chang Chang
b
, Wu Chenggang
c
, Van Kien Pham
d,*
a
Zhejiang Shu en Uni e si y, China
b
Depa men o Ma ke ing and Logis ics Managemen , Na ional Penghu Uni e si y o Science and Technology, Taiwan
c
Zhuhai Ci y Poly echnic College o Ma xism, Guangdong P o ince, China
d
Depa men o Science, Technology and In e na ional P ojec s, Ho Chi Minh Ci y Uni e si y o Economics and Finance (UEF), Vie nam
ARTICLE INFO
JEL Code:
D80
M15
O32
Keywo ds:
Knowledge sha ing
G een knowledge c ea ion
Inno a i e p ac ices
Knowledge applica ion
Knowledge s o age
Knowledge Acquisi ion
Success ul G een Ven u es
Vie nam
ABSTRACT
The cumula i e s ess o acknowledge en i onmen al challenges bound businesses o emb ace sus ainable
p ac ices in o hei business ope a ions. In Vie namese con ex , g een en u es a e conside ed a key con ibu o ,
hence, play majo pa in ans o ma i e landscape. The e o e, he s udy inds an oppo uni y o explo e he
e ec i eness o g een knowledge managemen p ac ices on he success o Vie nam’s g een en u es pa icula ly
in he p esence o inno a i e p ac ices and knowledge sha ing beha io . D awing upon Knowledge-Based Dy-
namic Capabili ies View, he s udy ex ends he li e a u e by explo ing knowledge managemen h ough ou
dimensions namely a e g een knowledge c ea ion, knowledge acquisi ion, knowledge applica ion and knowledge
s o age in o de o assess hei collec i e impac on g een en u es. The backg ound o he esea ch is embedded
in he c uciali y o build unde s anding ha how Vie namese manu ac u ing i ms can ha e le e age on g een
knowledge managemen p ac ices o achie e long- e m sus ainabili y. Resul s gauged h ough PLS-SEM model
e eal ha knowledge s o age has a posi i e and signi ican impac on success ul g een en u es. Findings also
e eal ha inno a i e p ac ices signi ican ly media e he ela ionship o knowledge c ea ion and knowledge
s o age wi h success ul g een en u es. In addi ion o his, knowledge sha ing beha io also media es he as-
socia ion o knowledge applica ion, knowledge s o age and knowledge c ea ion wi h success ul g een en u es.
The s udy adds comp ehensi e knowledge explaining ha knowledge sha ing cul u e ampli ies he bene i s
c a ed om knowledge managemen p ac ices, making o ganiza ions mo e inno a i e and esilien . Despi e
insigh ul indings, he s udy has limi a ion in e ms o small sample size, hence, u u e s udies a e ecommended
o expand he sample size o gene alize he indings in a b oade con ex .
In oduc ion
The Indus ial Re olu ion c ea ed employmen and income o mil-
lions o people and ini ia ed he global phenomenon o economic
g ow h. Howe e , i has also pu a g ea s ain on he na u al en i on-
men by inc easing o e -consump ion o na u al esou ces, which has
led o ecological de e io a ion and clima e change ac oss he globe
(A slan e al., 2022; Sub amanian, 2018). Knowledge managemen (KM)
has ga ne ed signi ican schola ly a en ion owing o i s po en ial o
p omo e sus ainable de elopmen in an o ganiza ion (Chop a e al.,
2021; Hussain e al., 2022). KM is widely ecognized as a aluable
s a egic asse o o ganiza ions o all sizes and ca ego ies, in
s eamlining he c ea ion, communica ion, sha ing and e ec i e
implemen a ion o collec i e knowledge wi hin a company. KM is a
pa icula de e minan o sus ainable de elopmen o i ms ocused on
sus ainable business p ac ices. This in e play o KM and sus ainable
de elopmen has p omp ed a undamen al shi in he o ganiza ion’s
pe cep ion o how KM boos s he p og ess o an o ganiza ion in a sus-
ainable ashion. The e o e, he e is a su ge in he o ganiza ional ocus
on he in eg a ion o KM in o he ou ine p ac ices and p ocesses wi hin
he o ganiza ion. As a esul , KM has a isen as a esh app oach ha
connec s he exis ing condi ion wi h he o ganiza ion’s sus ainabili y
aspi a ions and a ge s, helping o b idge he gap be ween he wo
(Chang e al., 2018; Yousa e al., 2021). The exis ing li e a u e
* Co esponding au ho .
E-mail add esses: [email p o ec ed] (M. He), [email p o ec ed] (T.-C. Chang), [email p o ec ed] (W. Chenggang), [email p o ec ed]
(V.K. Pham).
Con en s lis s a ailable a ScienceDi ec
Jou nal o Inno a ion & Knowledge
jou nal homepage: www.else ie .com/loca e/jik
h ps://doi.o g/10.1016/j.jik.2024.100618
Recei ed 30 Oc obe 2023; Accep ed 27 Oc obe 2024
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
A ailable online 16 No embe 2024
2444-569X/© 2024 The Au ho (s). Published by Else ie España, S.L.U. on behal o Jou nal o Inno a ion & Knowledge. This is an open access a icle unde he
CC BY-NC-ND license (
h p://c ea i ecommons.o g/licenses/by-nc-nd/4.0/ ).
emphasizes he explo a ion o he impac o KM on he ad ancemen o
sus ainabili y in a ious domains (Abbas & Sa˘
gsan, 2019; de Guima ˜
aes
e al., 2018; Ma ins e al., 2019; Ribei o e al., 2018; Shahzad e al.,
2020). None heless, G een Knowledge Managemen emains a no el
concep , he e o e, he e is a signi ican sca ci y o esea ch in he a ea
o g een KM and i s ole in sus ainable de elopmen and g een en u es
o o ganiza ions (S eimikiene & Akbe dina, 2021; Wang e al., 2022).
In addi ion, knowledge acquisi ion has been ecognized as a p ima y
ac o in he lea ning cycle as i suppo s he con inuous de elopmen
and expansion o he knowledge eposi o y o an o ganiza ion. The e-
o e, schola s ha e been highligh ing how he knowledge acquisi ion
encou ages he inno a i e p ac ices o i ms (Da e al., 2022; Hi ose
Nishiha a, 2018).
Since he global manu ac u ing landscape expe iences apid e olu-
ion, he e o e, inco po a ion o sus ainabili y is now iewed as hype -
c i ical dilemma in academia especially in he case o eme ging
economies. Pa icula ly alking abou Vie nam, he manu ac u ing in-
dus y o he coun y s uggles ha d o main ain i s en i onmen al
pe o mance while emb acing sus ainable p ac ices in o hei ope a-
ions. Al hough, global ends o sus ainabili y pushes de eloping
economies such as Vie nam o ans o m in o g een economy by 2030
(Abbas & Khan, 2023). Howe e , based on In e na ional Labo o gani-
za ion (2020), 54% o o ganiza ions in Vie nam belong o
manu ac u ing ca ego y and hei as consump ion o unsus ainable
ma e ials leads o massi e en i onmen al challenges. This also cap u es
he a en ion o s akeholde s and go e nmen ha u he p essu es
hese i ms o adop sus ainable p ac ices o main ain en i onmen al
balance. Acco ding o Gup a & Ba ua (2018), inno a i e p ac ices in his
ega d a e help ul o limi he ha m ul impac , howe e , i s adop ion is
qui e challenging due o inconsis ency in ansi ion p ocess h oughou
he egion. I is also a gued ha he implemen a ion o g een p ac ices in
Vie nam is in slow-mo ing phase due o a ious ba ie s (Pham e al.,
2023). In addi ion o his, awa eness on g een p ac ices is also dubious
in gene al public. Hence, i is impe a i e o assess he ac o s ha ensu e
he success o g een ini ia i es among Vie nam’s manu ac u e s
In his ega d, knowledge managemen p ac ices a e a c i ical ocus,
p omising success ul g een ini ia i es. The collec i e ag eemen exis ing
in li e a u e ou lines he essen iali y o KM p ac ices in case o g een
en u es as hey aimed a acili a ing o ganiza ion wi h necessa y
en i onmen al ela ed knowledge ha is u he impo an o sus ain-
able ope a ions (Ma uszewska-Pie zynka, 2021; Wang e al., 2022).
Acco ding o li e a u e, hese p ac ices allow i ms o ake maximum
le e age on en i onmen al knowledge ela ed o associa ed compliance,
echnologies and app op ia e p ac ices. I is also a gued ha he e ec-
i e managemen o knowledge, i ms specially manu ac u ing can
op imize hei g een pe o mance and le e age g een inno a ion.
Addi ionally, media ing ole o knowledge sha ing beha io can’ be
o e looked because knowledge sha ing beha io p omo es he dissem-
ina ion o in o ma ion among indi iduals ha makes he adop ion
p ocess o g een p ac ices much easie (Ce a e al., 2022; Lin e al., 2024;
Tien e al., 2023). The e o e, he p esen s udy holds g ea signi icance
due o i s emphasis on how g een KM sys em ensu es he success ul
implemen a ion o g een en u es in he domain o he Vie namese
manu ac u ing sec o . The s udy in es iga es mul iple ace s o he GKM
sys em, which includes g een KC, KA, KAP, and KS. The s udy is sig-
ni ican due o i s conside a ion o he impac o hese ace s o he GKM
sys em on he success o g een en u es h ough se e al inno a i e
p ac ices and g een knowledge-sha ing beha io in he o ganiza ion.
The s udy also adds signi ican con ibu ion by ex ending i s iew on
na u al esou ce RBV pe spec i e and knowledge-based dynamic capa-
bili y pe spec i e by explaining ha o ganiza ions may ha e an op ion
o u ilize in e nal and ex e nal compe encies in o de o add ess en i-
onmen al issues. This also shapes sus ainable compe i i e ad an age o
i m which allows o ganiza ions o dissemina e g een in o ma ion ha is
ex emely challenging o be eplica ed.
The la e pa o he s udy is o ganized in o ou sec ions. Li e a u e
e iew co e s he key concep s o a iables along wi h he hypo hesis
de elopmen which a e cons uc ed in he ligh o p e ious li e a u e.
The li e a u e e iew sec ion also p esen s a heo e ical model which
suppo s he p oposed amewo k o he s udy. In me hodology sec ion,
da a collec ion me hods, sampling echnique, s udy popula ion and da a
analysis app oaches a e ou lined b ie ly. Findings a e also p esen ed in
ollowing sec ion whe e he economic meaning o indings a e b ie ly
elabo a ed. Finally, summa y o key indings is concluded in he las
sec ion whe e limi a ion and implica ions a e also discussed.
Li e a u e e iew
Theo e ical backg ound
We ne el (1984) in oduced he Resou ce-Based View (RBV)
amewo k, which highligh s he pi o al ole played by an o ganiza-
ion’s s a egic esou ces and capabili ies in shaping i s compe i i e
ad an age. Acco ding o RBV, sus ainable compe i i e ad an ages can
be achie ed when o ganiza ions possess esou ces ha a e unique,
aluable, non-subs i u able, and challenging o compe i o s o imi a e.
Recen esea ch, exempli ied by Amankwah-Amoah & Adomako (2021)
unde sco es he alue o imely and ele an knowledge acquisi ion
om an o ganiza ion’s esou ce ne wo k as a a e and aluable asse o
achie ing success. A koˇ
ci¯
unien˙
e & Siudikien˙
e (2021) and Fe nandes
e al. (2022) u he emphasize he s a egic signi icance o ecognizing
knowledge as a aluable esou ce.
The cen al ocus o ou s udy is based on he no ion ha g een
knowledge is c ucial and s a egic asse o g een i m and i spa ks he
p oac i e pa icipa ion o o ganiza ion in en i onmen ally iendly ini-
ia i es ha upli he o e all en i onmen al pe o mance o i m. In his
ega d, Na u al esou ce-based iew, he ex ended e sion o RBV se es
as a ounda ion o illus a e ha how i ms a e able o manage hei
esou ces e ec i ely while conside ing en i onmen al pa adigm. This
e sion o RBV e lec s on he p essu e comes om s akeholde s ha
push o ganiza ion o ake en i onmen al measu es in o de o subdue
he nega i e impac o was ages and emissions. On he o he hand, he
obliga ion also shapes i m exis ing p ac ices wi h a g ea conce n o-
wa d en i onmen (Abbas, 2020a; Yodchai e al., 2022).
Fu he mo e, he s udy also in eg a es NRBV pe spec i e wi h he
ex ended e sion o knowledge-based iew. This iew conside s he
dynamic capabili ies o i m and acco ding o Knowledge-Based Dy-
namic Capabili ies (KBDCV), when p ecious knowledge and na u al
esou ces a e combined oge he , hey become a mos c i ical asses o an
o ganiza ion. Hence, o ganiza ions may ha e an op ion o u ilize in-
e nal and ex e nal compe encies in o de o add ess en i onmen al is-
sues. This also shapes sus ainable compe i i e ad an age o i m which
allows o ganiza ions o dissemina e g een in o ma ion ha is ex emely
challenging o be eplica ed (Kau , 2022). Mo eo e , when compe i i e
ad an age o i m is nou ished in dynamic se ings, i helps i ms o
emb ace change and adjus hei ope a ions acco dingly. I also boos s
con idences o wo k on no el ideas ha may shape business landscape.
Based on a o e-men ioned a gumen s, he s udy used in eg a ed
heo e ical lens o RBV, NRBV and KBDC o explain he concep ual
amewo k o he s udy. Based on he s a ed in eg a ed pe spec i e, i
can be a gued ha esou ce-based iew allows g een en u es o eap
bene i s om dis inc i e and eccen ic esou ces such as knowledge
managemen p ac ices o de elop compe i i e edge and p oduce sus-
ainabili y ou comes. Meanwhile, na u al RBV p o ides such en u es a
s a egic hough -p ocess ha is necessa y o hem o ecognize he
signi icance o en i onmen al esou ces o link knowledge managemen
p ocess wi h en i onmen al ini ia i es. Knowledge based iew in he
con ex o dynamic capabili ies ex ends he signi icance o p oposed
ela ionship by highligh ing hose dynamic capabili ies o g een en-
u es allows hem o c ea e, ga he , sha e and implemen knowledge o
ul ill g een consume demands and add ess en i onmen al challenges.
In his ega d, knowledge sha ing beha io along wi h inno a i e
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
2
p ac ices appea o be a b idge as hey make su e ha co ec o m o
sus ainable knowledge is being os e ed o de elop g een p oduc s/
se ices leading o success ul g een en u es. Thus, he en i e concep-
ual model illus a es ha how knowledge as a unique esou ce and
dynamic capabili ies o i m shapes o ganiza ions o become inno a i e
and achie e sus ainable goals.
Knowledge c ea ion and success ul g een en u es
G een knowledge c ea ion e ec i ely con ibu es owa d he success
o g een en u es as i p omo es inno a ion and concen a es on sus-
ainable p ac ices. The en i e p ocess o g een knowledge managemen
beings wi h he c ea ion o no el ideas ela ed o en i onmen which a e
essen ial o na iga ing g een inno a ion and sus ainable pe o mance
o i m (Abbas, 2020b; Pa aschi e al., 2021). The ocal poin o ma-
jo i y o s udies e eals ha only hose i ms can success ully boos hei
en i onmen al pe o mance when hey a e capable o soaking up g een
knowledge and u ilized e ec i ely. In addi ion o his, i is also a gued
ha g een knowledge, a p ocess o sha ing, s o ing and acqui ing in-
o ma ion; can ha e a posi i e e ec on knowledge d i en leade ship
(Ahsan e al., 2020). In e es ingly, his knowledge-d i en leade ship
helps in p omo ing sus ainabili y and inno a ion in o ganiza ion which
ensu es g een success. S udies highligh ha g een knowledge when
in eg a ed in business s a egies, helps i ms o inco po a e hei p ac-
ices wi h sus ainabili y-o ien ed amewo k (Sha i e al., 2022; Wang,
2019). Thus, es ablishing a igo ous knowledge base ha p omo e g een
p ac ices. This delibe a e c ea ion o g een knowledge plays bigge ole
in success o g een en u es as i simul aneously makes ad ancemen in
g een inno a ion and sus ainable p ac ices (Pan e al., 2022).
Fu he o discussion, s udies pos ula e ha g een knowledge c ea-
ion ha bo s knowledge sha ing and collabo a ion ac oss o ganiza ions
which makes g een en u es success ul. By le e aging on g een knowl-
edge c ea ion, i ms a e able o iden i y collec i e judgemen o add ess
complex en i onmen al challenges (O zes & Sa kis, 2019; Tibe ius e al.,
2021).. Besides, he conce ed app oach helps i ms o de elop a sup-
po i e eco-sys em o g een en u e o achie e long- e m success. The
inclusion o di e se pe spec i e which is an ou come knowledge c ea-
ion, c ea es mo e sus ainable solu ions leading o success ul g een
en u es (Zhao, 2023). In addi ion o his, a obus ne wo k g ounded in
g een knowledge c ea ion also acili a es g een en u es o gain access
o new ma ke s, ind a ac i e unding oppo uni ies and expe ience
echnological ad ancemen ha may lead o long- e m success (O zes &
Sa kis, 2019; Tibe ius e al., 2021).
H1: G een Knowledge c ea ion posi i ely in luences Success ul g een
en u es.
Knowledge acquisi ion and success ul g een en u es
The sus ainabili y li e a u e signi ican ly highligh s a c ucial ole o
knowledge acquisi ion in he success o g een en u es. By e iewing
concep ual and empi ical e idences, i become easie o unde s and ha
how sus ainable business ou comes a e d i en by knowledge acquisi-
ion. F om heo e ical poin o iew, he e a e se e al heo ies schola s
come up wi h o explain he ela ionship be ween knowledge acquisi ion
and success ul g een en u es (Banelien˙
e & S azdas, 2023; Cheba e al.,
2023). Fo ins ance, Guo (2023) a gued ha om esou ce-based iew
pe spec i e, knowledge is a c i ical esou ce o i m which helps in
building compe i i e ad an age. Since, g een knowledge ep esen s
eco- iendly p ac ices and echnologies, hence, i is iewed as a aluable
sou ce o a i m ha makes o ganiza ions inno a i e. The e o e,
acqui ing g een knowledge is c ucial o achie e supe io pe o mance.
Ahmed e al. (2022) also highligh ed a c i ical aspec o knowledge,
hence, ca ego izing i as a s a egic sou ce. Acco ding o au ho s,
knowledge-based iew concep ualizes he idea ha knowledge acqui-
si ion and cons an lea ning a e wo undamen al esou ces o i m ha
ensu e he success o sus ainable i ms. Empi ical li e a u e also e eals
ha ex e nal knowledge acquisi ion makes i m inno a i e ha would
lead o long- e m sus ainabili y (Hud´
ako ´
a e al., 2023). S udy o Aami
e al. (2021) also a gued i ms engaged in collabo a ions and acqui e
ele an g een knowledge, likely o achie e sus ainable ou comes wi h
success. In conclusion, success o g een en u es is d i en by collec i e
e o s ha a e achie ed h ough collabo a i e lea ning en i onmen
and di e se knowledge esou ces. The e o e, we hypo hesize:
H2: Knowledge acquisi ion posi i ely in luences Success ul g een
en u es.
Knowledge applica ion and success ul g een en u es
Knowledge applica ion which is ano he c ucial aspec o knowledge
managemen posi i ely a ec g een en u e ou comes. S udies demon-
s a e ha when knowledge is being u ilized a ec i ely i will allow
i ms o become mo e inno a i e o achie e sus ainable ou comes. S udy
o Khan (2023) highligh s ha implemen ing g een knowledge b ings
he bes om indi iduals leading o log- e m sus ainabili y. This
comp ehensi e unde s anding unde sco es ha acqui ing knowledge is
no su icien o o ganiza ion, he e ec i e implemen a ion is he key o
achie e desi able ou comes. Ano he s udy p oclaims ha g een
knowledge applica ion wi hin HRM may boos he pe o mance o o -
ganiza ion h ough signi ican ad ancemen s in exis ing ope a ions (Tee
e al., 2023). Hence, i can be hypo hesized ha :
H3: Knowledge applica ion posi i ely in luences Success ul g een
en u es.
S udies highligh he c ucial ole o e ec i e knowledge s o age
mechanisms ha a e well-sui ed o g een en u es o achie e g een
objec i es (Ma a ilhas & Ma ins, 2019). Capi alizing on s o ed g een
knowledge allows i ms o acili a e consume s needs by o e ing
eco- iendly se ices. Resul ing in success ul g een en u es
(Chai hanapa e al., 2022). I is also a gued ha p ope s o age o
knowledge allows i ms o u ilize aluable in o ma ion on ime o gi e
be e esponse o en i onmen al h ea s. S o ed knowledge also helps
i ms o gi e e ec i e esponse o ins i u ional and s akeholde p es-
su es, leading o success ul g een en u es. This way i ms’ inno a i e
and abso p i e capaci y enhance; hus, i becomes easie o le e age on
en i onmen al in o ma ion ha is necessa y o add ess en i onmen al
challenges (Tiwa i, 2022).
To discuss he a gumen u he , o ganiza ions a e also compelled o
seamlessly in eg a e en i onmen al conside a ions in o hei esea ch
and de elopmen ini ia i es, as unde sco ed by (Abbas & Dogan, 2022)
in esponse o he e ol ing demands o dynamic ma ke s. These o ga-
niza ions mus engage in ac i i ies ha no only p omo e he p oduc ion
o high-quali y p oduc s wi h minimal esou ce consump ion bu also
yield bene i s o bo h he en i onmen and he company i sel , aligning
wi h he insigh s o (Song e al., 2022). D awing om he p eceding
discussions su ounding G een Knowledge Managemen (GKM),
Co po a e Social Responsibili y (CSR), and g een inno a ion, he p esen
esea ch con ends ha i ms equipped wi h a GKM sys em a e s a egi-
cally posi ioned o inno a e in en i onmen ally sus ainable ways and
success ully pu sue hei sus ainable de elopmen objec i es.
H4: Knowledge s o age posi i ely in luences Success ul g een en u es.
Media ing ole o inno a ion
Th ough knowledge-based businesses, cus ome s’ equi emen s,
necessi ies, and expec a ions ha e s eadily eplaced he se ices and
goods p oduced by adi ional labo and c ea i e o ganiza ions in ecen
yea s (Mizin se a & Ge bina, 2018). The key o o ganiza ional success is
knowledge managemen , which also plays a big ole in enabling
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
3
en e p ises o gene a e no el p oduc s and se ices, expand in o new
ma ke s, and become mo e sus ainable. Au ho s concluded ha o ga-
niza ions using knowledge managemen s a egies we e compa a i ely
in en i e and had supe io long- e m inancial pe o mance a e doing
analy ic s udy on New Zealand en e p ises. This s udy e eals ha
gaining indus y knowledge, o ins ance, was c ucial o p omo ing
no el ies ha bes me consume wan s. In hei s udy o Spanish
companies, L´
opez-Nicol´
as and Me o˜
no-Ce d´
an (2011) came o he
conclusion ha knowledge managemen s a egy e ec s a sus ainable
i m pe o mance by boos ing i s in en i e capabili ies and alen s. Once
an employee is p epa ed o abso b knowledge om and suppo o he
employees in de eloping new capabili ies and skills, knowledge man-
agemen , speci ically knowledge sha ing in a co po a ion, begins
(Bon iglio e al., 2019).
Fi ms ha ac i ely engage in a con inuous lea ning p ocess exhibi a
highe deg ee o success in deli e ing inno a i e p oduc s and se ices
o hei cus ome s. Enhanced lea ning enables hese i ms o seize e e y
oppo uni y o in oduce p oduc s and se ices ha align wi h he e e -
e ol ing ma ke demands. Fi ms ha a e equipped wi h ele an
knowledge and ma ke ends a e able o ealize he needs o consume s
and s akeholde s. In addi ion o his, he igh amoun o skills and ca-
pabili ies also allows such i m o h i e by u ilizing inno a i e p ac ices
ha p omise long- e m sus ainabili y. Wi h obus lea ning mechanism,
he e iciency o i ms also inc eases which ensu es success (Calan one
e al., 2019; Mehdikhani & Valmohammadi, 2019). S udy o Sanz-Valle
e al. (2019) also es ablished a link be ween knowledge managemen
and echnological inno a ion, emphasizing he need o cons an
lea ning o adop inno a i e p ac ices p oac i ely. Simila ly, ano he
s udy demons a e ha o ganiza ions mus ha e h ee abili ies o be
en e ed in inno a i e ca ego y; hey a e commi ed o lea ning, possess
cul u al and echnological inno a i eness and do ha e knowledge o
ma ke ends (Wee awa dena e al., 2018). On he o he hand, Chen
e al. (2018) also highligh s he signi icance o se ice inno a ion ha
shapes i ms’ epu a ion in he socie y. Howe e , wi h ecen echno-
logical ad ancemen , he p edominan inclina ion o indus ies owa d
echnological inno a ion, di e s hei a en ion om se ice inno a ion
(Den He og e al., 2010). I is also no ewo hy ha ce ain ea lie
esea ch asse s he g owing signi icance o se ice inno a ion e en
wi hin manu ac u ing en e p ises (Cheng & K umwiede, 2019).s
Den He og e al. (2019) o e a comp ehensi e de ini ion o inno-
a ion in se ices as a "no el se ice expe ience o se ice solu ion
encompassing one o mo e o he ollowing dimensions: a esh se ice
concep , no el cus ome in e ac ions, inno a i e alue sys ems o
business pa ne ships, no el e enue models, and pionee ing o ganiza-
ional o echnological se ice deli e y sys ems." Fu he mo e, inno a-
ion in se ices can also mani es h ough he in en i e amalgama ion o
exis ing se ices, echnologies, pe sonnel, and me hodologies o ca e o
he needs o bo h exis ing and po en ial cus ome s (Chen e al., 2019).
The e o e, he hypo heses ha ha e been o mula ed can be exp essed
as ollows:
H5: Inno a i e p ac ices media e he ela ionship be ween knowledge
c ea ion and success ul g een en u es.
H6: Inno a i e p ac ices media e he ela ionship be ween knowledge
acquisi ion and success ul g een en u es.
H7: Inno a i e p ac ices media e he ela ionship be ween knowledge
applica ion and success ul g een en u es.
H8: Inno a i e p ac ices media e he ela ionship be ween knowledge
s o age and success ul g een en u es.
Media ion o g een knowledge sha ing beha io
Knowledge sha ing beha io is iden i ied by schola s as a signi ican
cons uc ha happens o play e ec i e ole o media o in o ganiza-
ional sus ainabili y li e a u e (Khan e al., 2019; Song e al., 2020).
Since, he concep o knowledge managemen explains he se ies o
ac i i ies such as c ea ing, acqui ing, s o ing and implemen ing i ,
he e o e, i appea s o be highly ela ed o en i onmen al sus ainabili y
o o ganiza ion. In his ega d, i can be deduced ha success o g een
ini ia i e gene ally elies on i ms’ capabili y ha how e ec i ely i
implemen s acqui ed knowledge and in o ma ion (Cheng, 2019; Renn-
ings & Zwick, 2020; Schoenhe & Swink, 2021). Empi ical e idences
also demons a e ha i ms ha ing knowledge sha ing cul u e a e mo e
p one o concep ualize no el and inno a i e ideas ha ul ima ely in-
c ease hei inno a i e and abso p i e capaci y. S udies also highligh
ha p omo ing knowledge sha ing en i onmen mul iplies he posi i e
impac o g een knowledge managemen because i p o okes i ms o
exchange expe ise and bes p ac ices ha a e uly a po en ial d i e o
i m’s success (Chen e al., 2019; Wu, 2019). I is also a gued ha
knowledge sha ing is a i al o m o b idge ha allows i m o con e
knowledge esou ces in o angible ou comes, leading o success ul g een
ou comes. The deba e highligh s ha knowledge sha ing beha io is no
simply an auxilia y p ocess, i se es as a ca alys o c ea e he b idge
be ween g een knowledge managemen and success ul g een en u e by
inc easing en i onmen al esponsibili y and os e ing inno a i e capa-
bili ies (A i e al., 2018; S ini asan & Swink, 2018). The e o e, we
hypo hesize ha :
H5: Knowledge sha ing media es he ela ionship be ween knowledge
c ea ion and success ul g een en u es.
H6: Knowledge sha ing media es he ela ionship be ween knowledge
acquisi ion and success ul g een en u es.
H7: Knowledge sha ing media es he ela ionship be ween knowledge
applica ion and success ul g een en u es.
H8: Knowledge sha ing media es he ela ionship be ween knowledge
s o age and success ul g een en u es.
Me hodology
Resea ch s a egy and sampling o a ge popula ion
The esea che has ollowed he aligned concep ions om he posi-
i ism philosophy, a deduc i e app oach o using he gene alized heo y
concep s o syn hesize speci ic designed hypo heses, and used he p i-
ma y da a quan i a i e esea ch s a egy o da a collec ion (Saunde s
e al., 2007). The esea che has a ge ed he employees o he
manu ac u ing i ms wo king in a ious o ganiza ional se ings wi hin
he coun y bounda y o Vie nam.
The a ge ed popula ion has been de ined as he sub-g oup o he
whole popula ion consis ing o he same p ope ies in he aspec o
pe cep ion (Memon e al., 2020). The p esen s udy used c oss-sec ional
esea ch design o explo e he assess he s a ed ela ionship. Fu he -
mo e, he s udy used non-p obabili y pu posi e sampling echnique o
selec and assess esponden s. The eason o choosing his echnique as
i helps in selec ing hose esponden s ha uly ep esen sample pop-
ula ion ha ing pa icula cha ac e is ics pe ec ly aligned wi h esea ch
objec i es. The selec ed sampling echnique ensu es esea che s ha
selec ed sample is awa e o e ms such as g een knowledge, knowledge
sha ing beha io , inno a i e capabili ies, en ep eneu ship e c. An in-
clusion c i e ion was speci ically de eloped o p esen s udy o iden i y
desi ed sample popula ion. Fi s ly, i is o make su e while selec ing
esponden s ha hey mus ha e minimum 3-yea expe ience in a
company which adop s g een p ac ices. Secondly, esea che s made su e
ha sample chosen o he s udy ac i ely in ol es in g een knowledge
managemen and inno a i e p ac ices. In addi ion o his, only hose
employees we e conside ed who hold c i ical posi ion in he company
ela ed o sus ainabili y and knowledge managemen ini ia i es.
The s udy also de eloped a h ee-s ep p ocedu e o each ou pa -
icipan s; iden i ica ion o indus y, p elimina y con ac , and ul ima e
selec ion. Pe aining o indus y iden i ica ion, only hose
manu ac u ing i ms we e conside ed who a e amilia wi h g een
knowledge managemen p ac ices and la gely known o g een
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
4
inno a i e p ac ices. The iden i ica ion was done wi h he help o in-
dus y epo s and o he ele an si es. Resea che s p epa ed a b ie lis
o po en ial esponden s based on inclusion c i e ia and hey we e
app oach h ough p o essional ne wo ks. Las ly, pa icipan s we e
inalized ha we e pe ec ly aligned wi h inclusion c i e ia and ag eed
o pa icipa e in he s udy wi hou any p essu e.
Fu he o discussion, he s udy used Daniel Sope calcula o o
de i e he sample size o he s udy as Sope (2024) a gued ha sample
size o SEM can be de e mined h ough numbe o obse ed and la en
a iables, an icipa ed e ec size and signi icance le el. Based on he
c i e ia, he sample size d awn o he s udy was 180. Howe e , o
be e gene aliza ion, he s udy collec ed da a om 300 employees. This
helped esea che s o handle po en ial loss in case o pa ial esponses.
A e collec ing he esponses, he s udy used da a cleaning p ocess by
emo ing incomple e su eys, iden i ying ou lie s and assessing edun-
dan en ies. While da a cleaning p ocess, 15 esponses we e omi ed
because hey we e incomple e.
Ins umen a ion and measu emen o he a iables
The esea che has used all he scales o he a iables om au hen ic
and empi ically e alua ed s udy measu emen s. The esea che has used
he online and sel -adminis e ed mediums o he collec ion o p ima y
da a. Fo he measu emen o di e en knowledge p ac ices, he
esea che encoun e ed a s udy ha used all he sub-cons uc s o
knowledge managemen al oge he in one amewo k and measu ed
knowledge acquisi ion wi h he help o 5 i ems, he knowledge c ea ion
wi h he help o 5 i ems, knowledge s o age by 5 i ems, and knowledge
applica ion by using 6 i ems and all scale i ems ha e eliable C onbach
alpha alues (Yu e al., 2022).
The media ing a iable o g een knowledge sha ing was adop ed
om a s udy ha used 5 i ems o he measu emen o g een knowledge
sha ing wi h he C onbach alpha alue o 0.887 (Zhang e al., 2021).
Nex , he second media ing a iable o he s udy he inno a i e p ac ices
was measu ed by using a 10-i ems scale (Wang e al., 2022) and p i-
ma ily adop ed he scale om (Kam-Sing Wong, 2012). In he end, he
dependen a iable o success ul g een en u es was measu ed in his
s udy on 5 i ems used by a e y ecen s udy and highligh ed he eli-
abili y and alidi y o he scale i ems wi h 0.927, and AVE o 0.719
espec i ely (Jinliang e al., 2023).
Along wi h he main body ques ions in he ques ionnai e, he
esea che has also asked some demog aphical ques ions om he e-
sponden s and he mos common ques ions include age, gende , edu-
ca ion, wo k expe ience, and ype o job.
Da a analysis echniques and e hical conside a ions
The esea che has used he SPSS so wa e o ini ial sc eening
including missing alues, ou lie s, and no mali y o he da a, i ems, and
a iables. along wi h i , he esea che has un he ad anced es ing o
PLS-SEM comp ised o wo s eps one o which includes eliabili y and
alidi y compu a ion and he second s ep o s uc u al equa ional
modeling in which high-quali y s eps o wo-s age app oach and boo -
s apping ha e been used (PLS, 2023; Sma PLS, 2023). Fu he , he
esea che has conside ed all he e hical conside a ions while con-
duc ing his esea ch and has collec ed all he da a wi h he olun a y
pa icipa ion o esponden s, has ensu ed he anonymi y and he
con iden iali y o he pe sonal in o ma ion and has compiled all he
esul s wi h no pe sonal in e ence and biases, and yes o iginally depic-
ed he iewpoin o he esponden s in discussion (Sc ibbe , 2023). The
ollowing able shows he desc ip ion o he ga he ed scales, hei
sou ces and he numbe o he i ems.
Va iable Name Symbol No o i ems Sou ce
Knowledge c ea ion KC 5 (Yu e al., 2022).
(con inued on nex column)
(con inued)
Va iable Name Symbol No o i ems Sou ce
Knowledge acquisi ion KA 5 (Yu e al., 2022).
Knowledge s o age KST 5 (Yu e al., 2022).
Knowledge applica ion KAP 6 (Yu e al., 2022).
Knowledge sha ing KS 5 (Yu e al., 2022).
Inno a i e p ac ices IP 10 (Kam-Sing Wong, 2012)
Success ul g een en u es SGV 5 (Jinliang e al., 2023)
Findings
In e nal consis ency eliabili y
In o de o e alua e he eliabili y o di e en a iables he
esea che has employed in e nal consis ency eliabili y. Acco ding o
Su ucu and Maslakci (2020), in e nal consis ency eliabili y is o en
e e ed o as a “ es e es ” app oach because in his a same es is
pe o med se e al imes a e a pa icula ime ame and hen he e
ob ained esul s a e compa ed, i he es yield simila esul s again and
again i indica es he cons uc a e eliable. Reliabili y is assessed
h ough C onbach alpha. Acco ding o (Hai e al., 2011), he alue o
α
should be mo e han 0.7 o es ablish eliabili y. Resul s o in e nal
consis ency eliabili y is gi en in able 1 below. The alue o
α
o IP, KA,
KAP, KC, KS, KST and SGV is 0.91, 0.80, 0.88, 0.89, 0.91, 0.87 and 0.83,
espec i ely. All he ob ained alues a e abo e 0.7, hus he cu en da a
se is eliable.
Ou e loadings
A e he examina ion o in e nal consis ency eliabili y o each
a iable, he esea che has analysed ou e loadings (indica o s eli-
abili y). The es ima ed associa ions p esen ed in he e lec i e mea-
su emen model o a s udy is e med as ou e loadings (Modak e al.,
2023). Acco ding o Kamis e al. (2020), he alue o ou e loadings
anges be ween 0 and 1, howe e 0.6 is he cu -o alue. The esul s o
ou e loadings a e p esen ed in able 2. In his able, only hose ac o s o
he a iables a e included whose indica o eliabili y is g ea e han 0.6.
Fo ins ance, he ac o s included o measu emen o indica o eli-
abili y o IP we e IP4, IP5, IP6, IP7, IP8, I9, and IP10, o KA we e KA1,
KA2, KA3, and KA5, o KAP we e KAP1, KAP2, KAP3, KAP4, KAP5 and
KAP6, o KC we e KC1, KC2, KC3, KC4, and KC5, o KS we e KS1, KS2,
KS3, KS4, and KS5, o KST we e KST1, KST2, KST3, KST4 and KST5, and
las ly o SGV we e SGV1, SGV2, SGV3, SGV4 and SGV5.
Con e gen alidi y
To measu e he da ase ’s ue eliabili y, con e gen alidi y was
de e mined. I is measu ed wi h wo indica o s, “Composi e Reliabili y
Table 1
In e nal consis ency eliabili y.
α
IP 0.916
KA 0.802
KAP 0.884
KC 0.894
KS 0.915
KST 0.878
SGV 0.837
No e: “KA=Knowledge acquisi ion,
KAP=Knowledge applica ion, KC=
G een Knowledge c ea ion, KS=
Knowledge Sha ing, KST=Knowledge
S o age, SGV=Success ul g een en-
u es, IP=Inno a i e p ac ices”
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
5
(CR) and A e age Va iance Ex ac ed (AVE).” In he iew o Hana iah
(2020), CR mus be g ea e han 0.7, and AVE should be mo e han 0.5 o
ensu e he da ase is alid. Resul s o con e gen alidi y is p o ided in
able 3, he able indica es ha alues o CR o all obse ed a iables i.
e., IP, KA, KAP, KC, KS, KST, and SGV a e abo e 0.7, and hei AVE
alues a e also abo e 0.50, hus he da ase is alid.
Disc iminan alidi y
Disc iminan alidi y analyses how closely a measu emen es
measu es he in ended concep . I u he speci ies ha pa icula con-
s uc s a e un ela ed ha mus no be heo e ically ele an o one
ano he (Ronkko & Cho, 2022). In cu en s udy, esea che has assessed
disc iminan alidi y by employing wo app oaches i.e., “HTMT C i e-
ion and Fo nell La cke ’s (1981) c i e ion.”
HTMT
HTMT is a no el app oach o analyse disc iminan alidi y. To
ensu e ha disc iminan alidi y is es ablished in da ase , he HTMT
alue should be dis inguished om 1 (Rasoolimanesh, 2022). Acco ding
o Ab Hamid e al. (2017), i he esul an alue o HTMT o all he
obse ed a iables a e less han 1, disc iminan alidi y is said o be
exis ed. Resul s o HTMT is gi en in able 4. As all he alues p esen ed
in able a e below 1, i con i ms disc iminan alidi y.
Fo nell-La cke (1981) c i e ion
Acco ding o Fo nell-La cke (1981) c i e ion, he alue o co ela-
ion be ween a iables and any o he a iables mus be lesse han he
squa e oo o AVE o a a iable (Hai J e al., 2021). The esul s o
Fo nell-La cke a e p esen ed in Table 5, he esul s show he exis ence
o disc iminan alidi y h ough Fo nell-La cke app oach.
Measu emen model
The measu emen model o p esen s udy is shown in Fig. 1 and Fig. 2
below. In his model, he e a e ou independen a iables including
g een knowledge c ea ion wi h 5 i ems, knowledge acquisi ion wi h 5
i ems, knowledge applica ion wi h 6 i ems and knowledge s o age wi h
5 i ems. Mo eo e , he e a e wo media ing a iables including inno-
a i e p ac ices wi h 10 i ems, and knowledge sha ing wi h 5 i ems.
Las ly, one dependen a iable ha is success ul g een en u es wi h 5
i ems.
SEM analysis
In his s udy, SEM was employed o analyse he di ec and indi ec
pa h analysis, and o assessing he hypo heses signi icance boo -
s apping app oach was u ilized, as his app oach is use ul o yielding
accu a e esul s. The esul s o pa h analysis a e shown in able 6 in
which he humb o ule o he hypo hesis o ge accep ed is ha i s
le el o signi icance mus be less han 0.05, howe e , some o he hy-
po heses ge accep ed a p- alue 0.10 as well. In his s udy, he e we e 4
di ec and 8 indi ec hypo heses. The esul s shown indica ed ha he
ela ionship be ween KST and SGV was accep ed as i s p- alue is 0, and
-s a is ics 4.502. Howe e , all o he di ec hypo heses we e ejec ed
because hey did no all on he c i e ion se o signi icance. He e 0 p-
alue sugges s a s ong s a is ical signi icance be ween a iables. The -
s a is ic which is 4.502 u he suppo s he signi icance o ela ionship,
ou lining ha knowledge sha ing s o age posi i ely a ec success ul
g een en u es. This means ha dedica ion o i ms owa d knowledge
s o age mechanism leads o success o g een en u es. The e o e, when
i ms success ully manage hei s o ed knowledge o be u ilized o
sus ainable pu poses, hey likely o gain mo e bene i s and expe ience
success in hei g een ini ia i es. The ejec ion o o he di ec hypo heses
indica e ha hey ailed o mee he signi icance c i e ia, highligh ing
ha o he dimension o g een knowledge managemen such as knowl-
edge acquisi ion, knowledge applica ion, knowledge c ea ion did no
e eal a signi ican impac in he gi en da ase . This a icula e ha no
all he dimensions o g een knowledge managemen can be a key o
success ul g een en u es. This also implies ha depending on con ex ,
esou ces and e o s should be de o ed o pa icula dimensions o
knowledge managemen a he han ocusing on hei collec i e impac .
F om Table 6, i can be obse ed ha inno a i e p ac ices do no
media e he ela ionship be ween knowledge acquisi ion, knowledge
applica ion and success ul g een en u es because he signi ican alue
is g ea e han 0.05. This indica es ha inno a i e p ac ices did no
p o e o be acili a o in hei cu en o m o make acqui ed knowledge
use ul o he success o g een en u es. The absence o media ion also
highligh s ha inno a i e p ac ices e en being e ec i e o en
Table 2
Ou e loadings.
IP KA KAP KC KS KST SGV
IP10 0.721
IP4 0.842
IP5 0.851
IP6 0.855
IP7 0.882
IP8 0.83
IP9 0.728
KA1 0.862
KA2 0.818
KA3 0.785
KA5 0.696
KAP1 0.783
KAP2 0.834
KAP3 0.795
KAP4 0.818
KAP5 0.797
KAP6 0.731
KC1 0.831
KC2 0.857
KC3 0.862
KC4 0.829
KC5 0.811
KS1 0.872
KS2 0.877
KS3 0.868
KS4 0.857
KS5 0.843
KST1 0.762
KST2 0.858
KST3 0.888
KST4 0.807
KST5 0.784
SGV1 0.711
SGV2 0.877
SGV3 0.88
SGV4 0.733
SGV5 0.685
No e: “KA=Knowledge acquisi ion, KAP=Knowledge applica ion, KC=G een
Knowledge c ea ion, KS=Knowledge Sha ing, KST=Knowledge S o age, SGV=
Success ul g een en u es, IP=Inno a i e p ac ices”
Table 3
Con e gen alidi y.
C onbach alpha Composi e eliabili y A e age a iance ex ac ed
(AVE)
IP 0.921 0.934 0.669
KA 0.823 0.873 0.628
KAP 0.898 0.911 0.638
KC 0.897 0.922 0.702
KS 0.915 0.936 0.745
KST 0.878 0.912 0.674
SGV 0.848 0.886 0.611
No e: “KA=Knowledge acquisi ion, KAP=Knowledge applica ion, KC=G een
Knowledge c ea ion, KS=Knowledge Sha ing, KST=Knowledge S o age, SGV=
Success ul g een en u es, IP=Inno a i e p ac ices”
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
6
implemen ed imp ope ly when align wi h knowledge acquisi ion and
applica ion. Fu he , he nega i e coe icien o indi ec pa h highligh s
ha some imes-inno a i e p ac ices ha e an ad e se impac in he o m
o ba ie s ha may subdue he bene i s o knowledge acquisi ion and
applica ion. The e could be se e al easons o i . Fo example, i
inno a i e p ac ices a e no p ope ly ma ched wi h s a egic objec i es
o g een en u es, chances a e less o ge bene i om acqui ed knowl-
edge. Misalloca ion o esou ce de o ed o IP migh damage he po en-
ial bene i o knowledge acquisi ions. Also, i inno a i e p ac ices a e
implemen ed poo ly hen o ganiza ions may ace ope a ional challenges
which con e se he ela ionship o KA and SGV. In addi ion o his,
inno a i e p ac ices o en de lec g een en u es om o he use ul e-
sou ces including human capi al, ime e c; which a e also c ucial o he
success o g een i ms. Besides, addi ional complexi ies in he o m o
change esis ance, bu eauc a ic challenges c ea e di icul ies o g een
en u es o implemen inno a i e p ac ices p ope ly. Pa icula ly in
Vie namese con ex , i can be explained ha i g een i ms choose
Table 4
HTMT.
No e: “KA=Knowledge acquisi ion, KAP=Knowledge applica ion, KC=G een Knowledge c ea ion, KS=Knowledge Sha ing, KST=Knowledge S o age, SGV=
Success ul g een en u es, IP=Inno a i e p ac ices”
Table 5
Fo nell-La cke .
IP KA KAP KC KS KST SGV
IP 0.818
KA 0.341 0.792
KAP 0.212 0.361 0.794
KC 0.482 0.119 0.102 0.838
KS 0.641 0.205 0.266 0.665 0.863
KST 0.525 0.254 0.195 0.395 0.427 0.821
SGV 0.562 0.159 0.182 0.363 0.508 0.559 0.782
No e: “KA=Knowledge acquisi ion, KAP=Knowledge applica ion, KC=G een
Knowledge c ea ion, KS=Knowledge Sha ing, KST=Knowledge S o age, SGV=
Success ul g een en u es, IP=Inno a i e p ac ices”
Fig. 1. Measu emen Model.
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
7
echnologies ha a e ei he cos ly o no aligned wi h domes ic ma ke
condi ions; hei esou ces migh no be use ul hei g een success
jou ney. Also, ope a ional dis up ion can also be occu ed i indi iduals
do no possess c i ical skills which b ings nega i e e ec on he success
o g een en u es.
Fu he o discussion, inno a i e p ac ices p o ed o be a signi ican
media o in case o knowledge c ea ion and knowledge s a egies as p-
alues a e less hen 5% and - alues a e g ea e han 1.96. Inno a i e
p ac ices ully media e he ela ionship o knowledge c ea ion wi h SGV
whe eas i pa ially media es he ela ionship o knowledge s o age wi h
SGV. This implies ha knowledge c ea ion needs suppo i e mecha-
nisms o in luence SGV posi i ely. The p esence o ull media ion in ha
case con i ms ha knowledge c ea ion is e ec i e when i is u ilized o
inno a ion pu poses. This signi ican indi ec pa h shows ha e ec i ely
ans o ming c ea ed knowledge in o inno a i e ac ions is subs an ial
o g een en u es. To explain i u he , i can be illus a ed ha
c ea ing knowledge does no gua an ee g een success, howe e , when i
is applied h ough he lens o inno a ion, i adds g ea e alue o he
i m. Resul s also imply ha knowledge e ec i ely s o ed and e ie ed
by i ms acili a e in achie ing g een goals. Besides, i should also be
implemen ed along wi h inno a i e p ac ices o ully ealize he col-
lec i e po en ial bene i s on g een success. Table 6 also explains ha
knowledge sha ing beha io does no media e he associa ion o KAP
and KA wi h SGV. The insigni ican indi ec pa h alues sugges
al hough hese aspec s o knowledge managemen a e impo an , how-
e e , hei impac in he con ex o g een en u e success is no s aigh
o wa d. The e o e, he ela ionship is no media ed by knowledge
sha ing beha io al as well. Fu he mo e, i was ound ha KS ully
media es he associa ion be ween KAP and SGV (p- alue 0.066, -s a-
is ics 1.84), and pa ially be ween KST and SGV (p- alue 0.013, -s a-
is ics 1.84) and be ween KC and SGV (p- alue 0.006, -s a is ics 1.84).
Discussion and conclusion
Discussion o key indings
The esea che has designed a comp ehensi e model wi h he asso-
cia ion be ween g een knowledge-based p ac ices and success ul g een
en u es in he sec ion o he li e a u e and has empi ically e alua ed
hem wi h he help o he PLS-SEM echnique. A e unning he main
es o hypo heses es ing in he Sma PLS, he esea che has e ealed
some mixed esul s. The esea che has explo ed he signi ican di ec
and indi ec impac o knowledge c ea i i y and knowledge s o age on
he success ul g een en u es h ough knowledge sha ing and inno a-
i e p ac ices. As well as he s udy has illus a ed he signi icance o
knowledge applica ion o he success o g een p ac ices o
manu ac u ing sec o i ms. Fo he empi ical suppo and alida ion o
he encoun e ed esul s, he esea che has sea ched and ci ed ele an ,
app op ia e and su icien li e a u e s udies. To e i y he signi icance o
knowledge managemen p ac ices, a s udy was ound ha in es iga ed
all 4 ypes o knowledge managemen p ac ices in inc easing o ganiza-
ional pe o mance and hei da a analysis e ealed suppo o hei
assumed ela ionship and e i ied he incumbency o he KM p ac ices
including knowledge sha ing, c ea i i y, and s o age in accele a ing he
pe o mance le el (Migdadi, 2022).
Fig. 2. SEM.
Table 6
Hypo heses Tes ing.
O iginal
sample
Sample
mean
S anda d
de ia ion
T
s a is ics
P
alues
KA ->SGV 0.037 0.036 0.053 0.693 0.489
KAP ->SGV 0.057 0.053 0.055 1.038 0.301
KC ->SGV 0.015 0.014 0.074 0.206 0.837
KST ->SGV 0.312 0.304 0.067 4.502 0.000
KA ->IP ->
SGV
-0.005 -0.004 0.011 0.437 0.662
KC ->IP ->
SGV
0.049 0.05 0.019 2.591 0.010
KAP ->IP
->SGV
-0.003 -0.002 0.012 0.217 0.828
KST ->IP
->SGV
0.082 0.084 0.026 3.174 0.002
KAP ->KS
->SGV
-0.025 -0.022 0.011 1.844 0.066
KST ->KS
->SGV
0.049 0.049 0.019 2.505 0.013
KA ->KS ->
SGV
-0.002 -0.002 0.012 0.167 0.867
KC ->KS ->
SGV
0.094 0.094 0.034 2.771 0.006
No e: “KA=Knowledge acquisi ion, KAP=Knowledge applica ion, KC=G een
Knowledge c ea ion, KS=Knowledge Sha ing, KST=Knowledge S o age, SGV=
Success ul g een en u es, IP=Inno a i e p ac ices”
M. He e al.
Jou nal o Inno a ion & Knowledge 9 (2024) 100618
8
