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ww w . e l s e v i e r . e s / r e d e e

Revista

Europea

de

Dirección

y

Economía

de

la

Empresa

Article

The

mediating

effect

of

strategic

human

resource

practices

on

knowledge

management

and

firm

performance

Antonio

Aragón

Sánchez

,

Gregorio

Sánchez

Marín,

Arleen

Mueses

Morales

DepartmentofBusinessManagementandFinance,FacultyofBusinessEconomics,UniversityofMurcia,CampusdeEspinardo,30100Murcia,Spain

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received7April2014 Accepted17March2015 Availableonline30June2015

JELclassification: D830 L250 M500 Keywords: Knowledgemanagement Strategichumanresourcepractices Firmperformance

a

b

s

t

r

a

c

t

Previousempiricalevidencehassuggestedthatknowledgemanagementandhumanresource

prac-ticescaninteractinordertoimprovefirmperformance.Basedonthisidea,thepurposeofthisstudy

istoproposeandtestanintegrativemodelthatexaminesstrategichumanresourcepracticesasa

cat-alyticmechanisminfluencingtheeffectivenessofknowledgemanagement.Ourfindingsconfirmthat

knowledgemanagementstrategiespositivelyinfluencefirmperformancethroughcertainhighwork

performancepractices–selectivestaffing,intensivetraining,activeparticipation,comprehensive

per-formanceappraisal,andperformance-basedcompensation–highlightingthemediatingroleofhuman

resourcemanagementinthisrelationshipandtheneedtoalignhumanresourcepracticeswith

organi-zationalstrategies.

©2014AEDEM.PublishedbyElsevierEspaña,S.L.U.ThisisanopenaccessarticleundertheCC

BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).

Gestión

del

conocimiento

y

resultados

empresariales:

efecto

mediador

de

las

prácticas

de

recursos

humanos

CódigosJEL:

D830 L250 M500

Palabrasclave:

Gestióndelconocimiento

Prácticasestratégicasderecursoshumanos Resultadosdelaempresa

r

e

s

u

m

e

n

Laevidenciaempíricapreviase ˜nalaquetantolagestióndelconocimientocomolasprácticasderecursos

humanospuedeninteractuardediversasformasparamejorarlosresultadosdelaempresa.Partiendo

deestaidea,elobjetivodeestetrabajoesproponerycontrastarunmodeloqueexaminalagestiónde

recursoshumanoscomomecanismocatalizadordelaefectividaddelagestióndelconocimiento.

Nue-stroshallazgosconfirmanquelasestrategiasdecodificaciónypersonalizacióndelconocimientoinfluyen

positivamenteenlosresultadosdelaempresaatravésdedeterminadasprácticasestratégicasderecursos

humanosdealtorendimiento,loqueconfirmaelpapelmediadordelagestiónderecursoshumanosen

dicharelaciónylanecesidaddeajustarlasprácticasderecursoshumanosalascaracterísticasestratégicas

delaorganización.

©2014AEDEM.PublicadoporElsevierEspaña,S.L.U.EsteesunartículoOpenAccessbajolalicencia

CCBY-NC-ND(http://creativecommons.org/licenses/by-nc-nd/4.0/).

Introduction

Todaymostofthecompaniesoperateincomplexanddynamic

environments, where competition is constantly increasing and,

therefore,thetraditionalsourcesofcompetitiveadvantagedonot

Correspondingauthor.

E-mailaddresses:[email protected](A.A.Sánchez),[email protected](G.S.Marín),

[email protected](A.M.Morales).

guaranteethesurvivaloftheorganization,creatinganeedforrapid

adaptation.Thissituationisleadingtoaredefinitionofbusiness

strategies(Pfeffer,1994;Wernerfelt,1984).Thereismuchdebate

abouttheneedtopaygreaterattentiontostrategicresourcesand

howtheyaremanaged,especiallythosecapableofproviding

eco-nomicvalueand competitivenessforcompanies.Barney(1991)

arguesthatintangibleresourcescanbecomeasourceofsustainable

competitiveadvantagetomeettherequirementsofvalueand

inim-itability(Barney,1991;Black&Boal,1994).Inthissense,knowledge

andhumancapitalareimportantassetsfororganizationsandan

http://dx.doi.org/10.1016/j.redee.2015.03.003

1019-6838/© 2014 AEDEM. Published by Elsevier España, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

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effectivemanagementofthoseassetscanmakepossiblefor

com-paniestoleveragetheknowledgeandskillsofemployeeswhile

developinghumanresourcemanagementmodelstailoredtothe

needstheenvironment,contributingtotheimprovementoffirm

performance(Soliman&Spooner,2000;Yahya&Goh,2002).

Whilesomestudieshavenotedthatknowledgemanagement

promotesfirm performance(Chen&Huang, 2009;Hsiao,Chen,

&Chang,2011;López-Nicolás&Mero ˜no-Cerdán,2011;Palacios& Garrigós,2006;Raˇsula,BosiljVukˇsi ´c,&Indihar ˇStemberger,2012),

othersstudiesarguethatitishumanresourcemanagementthat

helpstoimprovethisperformance(Becker&Gerhart,1996;Chen

&Huang,2009;Collins&Clark,2003;Huselid,1995;Youndt,Snell, Dean, &Lepak, 1996).In addition,someresearch suggeststhat

knowledge management and humanresource management are

closelyrelated(Afiouni,2007;Haesli&Boxall,2005;Oltra,2005;

Theriou&Chatzoglou, 2008;Wang,Chiang, &Tung,2012).The

majorityofthesestudiesoptfor analyzingthemediatingeffect

of knowledgemanagement in therelationship betweenhuman

resourcemanagementandfirmperformance(Jackson,Schuler,&

Jiang,2014).

Surprisingly,fewstudieshave suggestedaninverse

relation-shipbetweentheseconcepts,whichmightbeexpectedconsidering

thepotentialstronginteractionbetweenknowledgemanagement

andhumanresourcemanagement(Chuang,Jackson,&Jiang,2013;

Liao,2011;Shih&Chiang,2005).Therefore,themainobjectiveof

this workisoffering adifferentperspective ontherole human

resourcemanagement, respondingalsotorecent callsfor

alter-nativecausalmodelstoanalyzethecatalyticormediatingroleof

humanresourcesmanagementintherelationshipbetween

knowl-edge management and firm performance (Jackson et al., 2014;

Jiang,Takeuchi, &Lepak,2013).Thisnewperspective is

impor-tanttotheextentthatitcandeterminewhethercertainsystemsof

humanresourcemanagementareabletotranslateorganizational

needsandstrategiesintoapackageofstrategichumanresource

practicesthatcanfosteralignmentofemployeebehaviors,thereby

producingbetteroutcomesfortheorganization(Jiangetal.,2013).

Thus, recognizingtheneedfor empiricalstudiestoanalyzethe

roleofhumanresourcemanagementsystemsascatalytic

mech-anisms in developing organizational strategies and goals(Jiang

etal.,2013),weexaminethemediatingeffectsofcertainstrategic

highperformanceworkpracticesintheareasofstaffing,training,

participation,performanceappraisaland compensation(Chen &

Huang,2009; Huselid,1995).Itis expectedthatthesepractices

canmediatetherelationshipbetweenknowledgemanagement–

measuredthroughcodificationandpersonalizationstrategies–and

firmperformance.Therelationshipsareexaminedusingstructural

equationmodelingmethodologyinasampleof191Spanish

indus-trialcompanies.

Thespecificcontributionsofthisstudycanbesummarizedin

threeparts.First,itextendsthelimitedliteraturethatrecognizes

theneedforalignmentofthehumanresourcemanagement

strate-giesasamediator ofknowledgemanagement for thecompany

thatlinksthegoalsofthecompanyanditsimprovedperformance

(Jiang et al., 2013; Wang et al., 2012).Second, it supports the

ideathatmanagingtheknowledgeemployees,throughstrategic

humanresourcepractices,isessentialfororganizationsto

maxi-mizetheirperformance(Chuangetal.,2013;Liao,2011).Finally,it

helpstoexplaintherelationshipsbetweencertainspecific

strate-giesofknowledgemanagementandthehighperformancework

systems,fromtheperspectivethattheycontributetofirm

perfor-mance(Chen&Huang,2009;Snell&Youndt,1995).

Theworkis dividedinto foursections. First,theoretical and

empiricalcontributionsrelatedtotherelationshipsbetweenthe

variablesthatareincludedintheresearchmodelarereviewed.

Sec-ond,methodologyemployedtotestthemodelisdescribed.Third,

resultsarepresented,endingwithconclusionsanddiscussionof

theresultsobtained. Thisfinal sectionalsohighlights themain

implicationsforfutureresearch.

Researchbackgroundandhypotheses

Knowledgemanagementandfirmperformance

Knowledgecanbedefinedasinformationcombinedwith

expe-rience,context,interpretationandreflection(Davenport&Völpel,

2001).Knowledgeisconsideredavaluableresourcefor

organiza-tionswhenitisincorporatedinhumancapital,allowingcompanies

toimprovetheirdistinctivecompetencies(Grant,1996;Hansen,

1999;Spender,1996).Althoughliteratureincludesnumeroustypes

oforganizationalknowledge,themostfrequentlyusedframework

is that which distinguishes between tacit and explicit

knowl-edge(Afiouni,2007;Hussi,2004;Polanyi,1966;Spender,1996).

Whilecodifiedorexplicitknowledgeistransmittedthrough

for-malandsystematiclanguage,andmaytaketheformofsoftware,

patents,diagramsandthelike,tacitknowledgeisacquiredthrough

experienceandresidesinthehumanmind.Thatis,tacit

knowl-edge issituational andsubjective natureand thusit is difficult

toformalize, communicate and share withothers (Martensson,

2000;Polanyi,1966).Itshouldbenotedthatmuchorganizational

knowledgeistacit,anditisconsideredanimportantsourceof

com-petitiveadvantage(Ambrosini&Bowman,2001).Therearetwo

basicstrategiesforknowledgemanagement:acodificationstrategy

basedonexplicitknowledge,andapersonalizationstrategybased

ontacitknowledge(Choi&Lee,2003;Hansen,Nohria,&Tierney,

1999).Codificationextractsknowledgefrompeopleandstoresit

with thehelp of technological systems for re-use.

Personaliza-tionemphasizesdialogandpersonalcontacttoshareandmanage

knowledge(Hansenetal.,1999).However,thesetwostrategiesare

notmutuallyexclusive,andmayfunctiontogetherinsome

com-bination(Hussi, 2004).Thus,fromthepointofviewofbusiness

effectiveness,knowledge,bothtacitandexplicit,isrecognizedasa

keyresourcethatcanproducecompetitiveadvantageifitis

man-agedproperly(Wangetal.,2012).NonakaandTakeuchi(1995)

viewknowledgemanagementasatoolthatallowsthecompany

toemphasizeandpromotetheproductivity,flexibilityand

creativ-ityneededtoincreaseitsvalueandcompetitiveness(Davenport&

Völpel,2001;Salojärvi,Furu,&Sveiby,2005).

Research on how and under what circumstances the

vari-ousknowledge management strategieslead tobetteroutcomes

has provided ample evidence that generally support the

pos-itive relationship between the knowledge management and

firm performance(Yang,2010).For example,López-Nicolásand

Mero ˜no-Cerdán (2011) show that thetwo knowledge

manage-mentstrategiesofcodificationandpersonalizationaremechanisms

through which companiesmanage toachieve greater

effective-nessandperformance.Adoptingabroaderapproach,Palaciosand

Garrigós (2006) findthat sixknowledge management practices

–knowledge;learning;organizationalunderstanding;innovative

culture;individualizedapproachandskills–haveapositiveand

significanteffectonfirmperformance. Chenand Huang (2009),

takingamoreholisticapproach,noticethattheimplementation

ofknowledgemanagementsystemshasapositiveandsignificant

influenceonthefinancialand operationalperformance of

orga-nizations. Also, thestudy of Hsiao et al. (2011) showthat the

capacitytomanagetheacquisitionanddisseminationof

knowl-edgearepositivelyrelatedtothefirm’sperformance,andpointout

thatsocial interactionincreasesthestrength oftherelationship

betweenknowledgemanagementskillsandperformance.Finally,

Raˇsulaetal.,2012showthatthefourstrategiesofcreation,

accumu-lation,organizationanduseofknowledgehaveapositiveimpact

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Otherstudiesfoundnopositiveevidenceinthisregard,usually

explainingthisresultbypointingtoalackofaproper

implemen-tationstrategyand interactionbetweenthevariousdimensions

ofknowledge.Yetultimatelythereisarecognitionthatthereis

a clear theoreticaland empirical foundation for the belief that

knowledgemanagementisinfluentialinobtainingsuperiorfirm

performance(Darroch,2005;Mills&Smith,2011;Seleim&Khalil,

2007).Therefore,itcanbeconcludedthattheliteraturelargely

sup-portstheidea,basedontheresource-basedview,thatproperly

implementedknowledge management, and therelated

interac-tionsandcomplementaritiesbetweenthestrategiesofcodification

andpersonalization,cancontributepositivelytofirmperformance.

Therefore,thefirstresearchhypothesisproposedinthefollowing

terms:

H1. Knowledgemanagement –throughtheimplementationof

codificationstrategiesandpersonalizationstrategies–hasa

posi-tiveeffectonfirmperformance.

Strategichumanresourcespracticesandfirmperformance

Incomplexanddynamicbusiness environmentsliketoday’s,

effective management of human capital is increasingly

impor-tant,beingthefoundationformuchofthesustainablecompetitive

advantageofacompany(Barney,1991;Wernerfelt,1984).Inthis

sense,humanresourcemanagement is essential asa structural

mechanisminthedevelopmentandadaptationofhumancapitalto

achievesustainablecompetitiveadvantage(Collins&Clark,2003;

Jacksonetal.,2014).Throughhumanresourcepractices,

compa-niescaninfluenceandshapetheskills,attitudesandbehaviorsof

individuals,sothattheycandotheirjobbetterandachievethe

objectivesoftheorganization(Delery&Doty,1996;Collins&Clark,

2003).

In fact, numerous studies have shown that certain human

resourcepractices,eitherindividuallyorasasystem,candirectly

and positively affect the individual and collective outcomes of

thecompany(BeckerandGerhart,1996;Jiangetal.,2013).Thus,

empiricalstudieshavemadeconsiderableefforts tolinksets of

humanresourcepracticestobusinessoutcomes,whetherthrough

so-called high performance work systems (Becker & Huselid,

1998;Delaney &Huselid,1996; Huselid,1995), based on trust (Arthur, 1994), through highengagement (Batt, 2002; Guthrie,

2001), or innovative practices (Ichniowski, Shaw, & Prennushi,

1997;MacDuffie,1995;Youndtetal.,1996),atthelevelof

indi-vidualbusinessunits(Koch&McGrath,1996),andintermsofthe

globalfinancialandeconomicperformanceofcompanies(Becker

&Huselid,1998; Delaney&Huselid,1996; Huselid,1995).The

commonthreadin these investigations is theidea that certain

humanresourcepracticescaninfluencefirmperformancethrough

theirinfluenceonthebehaviorofemployees.Thoseemployeesare

affectedpositivelyintheirperformance,andthisimproves

indi-vidualand/orgroupproductivity(Becker&Huselid,1998;Guest,

1997).Althoughtherearesomestudiesthatdidnotfullyconfirm

thepositiverelationship(Guest,Michie,Conway,&Sheehan,2003),

theirfindingscontinuetobeconsistentwiththemainideathat

strategichumanresourcepracticesinfluenceemployeebehavior

andgeneratepositiveeffectsinindividualperformanceand

there-forecollectiveenterprise-levelperformance(Jacksonetal.,2014).

Specifically,Huselid(1995, 635)describes highperformance

workpractices, which “can improve the knowledge, skills, and

abilities of a firm’s current and potential employees, increase

theirmotivation,reduceshirking,andenhanceretentionofquality

employees”,therebyimprovingindividualandorganizational

per-formance(Arthur,1994;Becker&Gerhart,1996;Ichniowskietal.,

1997;Jiangetal.,2013;Youndtetal.,1996).Itistherefore

possi-bletorefertostrategichumanresourcepractices(Chen&Huang,

2009),to theextentthattheyenhance theabilityand

involve-mentofemployees,encouragetheircommitmentandencourage

theirefforts,providingscopefortheorganizationtobeproactive

andmorecloselylinkedwithlearning,innovationandknowledge

(Chen&Huang,2009;Jacksonetal.,2014).Inthissense,ithasbeen

shown that selective selection, intensive training, encouraging

activeemployeeparticipation,conductingthoroughperformance

assessmentandestablishingincentiveslinkedtoperformanceare

highperformance workpracticesthat arerelated,throughtheir

impactonthedevelopmentandmotivationofemployees,with

bet-terfirmperformance(Jacksonetal.,2014;Jiangetal.,2013).These

arethereforestrategichumanresourcepractices,totheextentthat

theypromoteinimitableattributesinemployeesthatcontribute

totheachievementand maintenance ofa sustainable

competi-tiveadvantagefortheorganization(Chen&Huang,2009;Collins&

Clark,2003;Guest,1997;Huselid,1995;MacDuffie,1995;Youndt etal.,1996).

Therefore,consideringtheabovearguments,itisexpectedthat

theextenttowhichhumanresourcepracticesarestrategically

ori-entedtowardhighperformanceworkpractices(selectivestaffing,

intensivetraining,activeemployeeinvolvement,acomprehensive

performance assessment, and incentive systems linked to

per-formance),employeeswill beencouragedin thebehaviors and

attitudesthatpromotebetterindividualandorganizational

per-formance.Thus,thesecondhypothesisisproposedasfollows:

H2. Strategichumanresourcepractices–selectivestaffing,

inten-sive training, active participation, comprehensive performance

appraisal,andperformance-basedcompensation–haveapositive

effectonfirmperformance.

Themediatingeffectofstrategichumanresourcepractices

Much of the original literature on knowledge management

focusedontechnologicalissues,butovertimethehuman

dimen-sionhasbecomemoreimportanttotheextentthat ithasbeen

discoveredthattechnologyaloneis notaseffectiveasexpected

(Afiouni, 2007;Haesli & Boxall,2005).In this sense, Theriou & Chatzoglou (2008) note that although technology is necessary,

itis notsufficientalone toensureknowledgemanagement and

itsrelationshipwithhumanresourcemanagement.Ifthehuman

resourcemanagementisabouttheeffectivemanagementofpeople,

andthemostvaluableresourceofindividualsisknowledge,then,

humanresourcemanagementandknowledgemanagementmust

becloselyrelated,astheysharesomeactivitiesandobjectivesand

bothfocusonpeople(Oltra,2005;Svetlik&Stavrou-Costea,2007).

DavenportandVölpel(2001)summarizethesituationby

stat-ingthatknowledgemanagementmanagespeople,andviceversa.

Scholl, Koenig, Meyer, & Heisig (2004) explain that the most

effectivemethodforknowledgemanagementisanapproachthat

combines different disciplines.According totheir research,the

mosturgentanddifficultaspectforunderstandingand

advanc-ingknowledgemanagementistogiveprioritytohumanfactors.

Chuangetal.(2013)andYahyaandGoh(2002)notethathuman

resourcepracticesshouldbeusedtomonitor,measureand

inter-veneintheconstruction,personalization,disseminationanduseof

knowledgeofemployees.Thatis,theorganizationmustusehuman

resourcemanagementtoincreasetheknowledge,skills,experience

andcreativity ofallitsemployees(SolimanandSpooner,2000;

Wangetal.,2012).Inthissense,theknowledgemanagement

strat-egycanbeakeyfactortoconsiderwhenestablishingtheobjectives

ofenterprise-levelstrategichumanresourcepractices(Liao,2011;

Chuangetal.,2013).

In this vein, some researchers have begun to

conceptual-izehumanresourcemanagement andtheorientationofhuman

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theorganizationanditsknowledgestrategy(Chuangetal.,2013; Jiangetal.,2013).Thesestrategichumanresourcepracticesreflect

(mediate)thedemands oftheorganizationandprovide

mecha-nismstostrengthentherequiredoutcomesofemployeesaswell

astosupportthemintheirwork(Jiangetal.,2013).For

exam-ple, when a company has a knowledge management strategy,

whetheritdependsoncodificationoronpersonalization,strategic

humanresourcepracticesareclearlyorientedtowardahigh

per-formanceworksystem(Chuangetal.,2013;Huselid,1995;Snell

&Youndt,1995).Specifically,emphasisonthoroughrecruitment

andselectionofemployeeswhocansolveproblems,tolerate

ambi-guity,andarewillingtosharetheirknowledgeandexperience,is

extremelyimportantandwillhelpemployeestoengagewiththe

developmentofaknowledgemanagementsystem.The

organiza-tionmay,afterathoroughassessmentofemployees’skills,train

themintensivelyandextensivelyaccordingtothespecificneeds

oftheindividualandoverallcompanygoals,usingcompensations

packagestoencourageemployeestosharetheirtacitandexplicit

knowledge(Wangetal.,2012).

Liao (2011) and Chuang et al. (2013) argue that, although

companiescanuseinterconnectedpersonalizationand/or

codifi-cationstrategies,globalknowledgemanagementstrategiesalways

requirethedevelopmentandimplementationofstrategichuman

resourcepractices(aimedathigh-performancesystems)covering

aspectsofselectiveselection,intensivetraining,active

participa-tion,performanceevaluationandincentive-basedcompensation.

Ifsuchstrategichumanpracticesaredesignedandproperly

ori-ented,knowledgemanagementwillhelpthecompanytomaintain

its competitiveadvantage, contributing to the improvement of

firm performance (Chuang et al., 2013; Meso & Smith, 2000;

Shih&Chiang,2005).So,itisexpectedthattheimplementation

of strategic humanresource practices willfacilitate knowledge

management, and actas acatalyst in therelationship between

knowledgemanagementandfirmperformance.Thethird

hypoth-esisis,therefore,proposedasfollows:

H3. Strategichumanresourcepracticesmediatetherelationship

betweenknowledgemanagementandfirmperformance.

Methodology

Population,sampleanddatacollection

DatawerecollectedfromSpanishcompanies.Theinitial

popula-tion,selectedfromtheSABIdatabase,was4112companies,which

employedbetween25and249workers,fromallindustrialsectors.

Atelephonesurveyofthispopulationwasconductedbetween1

December,2011and18January,2012basedonastructured

ques-tionnaire.Informationwasobtainedfrom191companiesoutofa

totalof2251companiescontacted,representingaresponserate

of8.48%.Smallerbusinesseswereexcludedduetopoor

formal-izationofknowledgemanagementstrategiesandhumanresource

practices.Similarly,weexcludedlargerenterprisesbecausethere

areimportant differencesregarding themanagement of human

resources in small and medium sized enterprises, which could

distort the empirical analysis. Finally, it should be noted that

the survey wasaddressed to the chief executive officerof the

company,1 asit wasconsidered thathis/her positionensures a

1Inordertominimizetheriskofcommonmethodbiasarisingfromtaking

infor-mationfromonlyonesource,thisstudyusesdatafromtwosources:thetelephone interviewformeasuresofknowledgemanagementandhumanresourcepractices andtheSABIdatabaseformeasuresoffirmperformance.Inaddition,as recom-mendedbyPodsakoffetal.(2003,2012),wehavetestedfortheabsenceofasingle commonfactorthathasaneigenvalueofgreaterthanone.Apoorfitofthe sin-glefactormodelisanindicationthatcommonmethodvarianceisnotamajor

Table1

Manufacturingsub-sectors.

Industries CNAE2009 N %

Meatproducts,beberages, foodandtobacco

10,11,12 21 11.62%

Textile,leatherproductsand footwear

13,14,15 5 2.53%

Paperproducts,printingand publishing,lumberand wood

16,17,18 22 11.11%

Chemicalproducts,rubber andmiscellaneousplastics productsandfuels

19,20,22,23 46 23.74%

Primarymetalindustries, fabricatedmetalproducts

24,25 26 14.65%

Electricalequipment, computerandoptical industry

26,27 7 3.54%

Industrialmachineryand equipment,motorvehicles

28,29,30 19 9.60% Otherindustries 21,31,32,33, 35,36,37,38, 39 45 23.23% Total 191

thoroughunderstandingoftheorganization,itshumanresources practicesandknowledgemanagementstrategies.Theoverall sam-plingerroris6.8%,foraconfidencelevelof95.5%2andp=q=0.5.

ThedistributionofthesampleisrepresentedbysectorsinTable1.

Variablesandmeasures

Strategichumanresourcepractices

Measuringthesetstrategichumanresourcepracticeswasbased

onamultidimensionalscaledrawnfromtheliteratureonhigh

per-formanceworkpracticesprovidedbyHuselid(1995),MacDuffie

(1995),Youndtetal. (1996),Collinsand Clark(2003)andChen andHuang(2009).Specifically,weappliedthemodelofChenand Huang(2009),whomeasuredfivedimensionsofhumanresource

practices related to the staffing, training, participation,

perfor-manceappraisalandcompensation,using15itemsformulatedon

a5-pointLikertscale(seeAppendixII).Astheitemsaredefined,

scorescloserto5indicatethatthecompanyisimplementingahigh

performanceworkpractice,asitplacesmoreemphasisonselective

selection,intensivetraining,encouragingactiveemployee

partic-ipation,makingacomprehensiveevaluationofperformanceand

establishingincentivesystems linkedtoperformance.Thescale

forstaffinghasareliability(c)of0.849andtheaveragevariance

extracted(ave)is 0.652,values whichconform tothose

recom-mendedintheliterature(Bagozzi&Yi,1988,2012).Similarly,for

trainingthevalues (c=0.843and ave=0.642),for participation

(c=0.880andave=0.711),forperformanceappraisal(c=0.834

andave=0.623),andforcompensation(c=0.815andave=0.597).

Knowledgemanagement

Knowledgemanagementwasmeasuredusinganadaptationof

thescaledevelopedbyChoiandLee(2003),inwhichthetwo

strate-gies,codificationandpersonalization,aredimensions.Thesescales

havesubsequentlybeenusedandvalidatedinotherstudies,such

problem. The single factor model has a 2=1241.26 with 252of freedom

(NFI=0.473;NNFI=0.479;CFI=0.524;IFI=0.530;RMSEA=0.142),whichismuch worse thanthe measurement model(2 (224)=288.74(p=0.002), NFI=0.90,

NNFI=0.96,CFI=0.97,IFI=0.98,RMSEA=v0.04)(seeAppendixIIfordetails)which suggeststhatcommonmethodbiasisnotapotentialprobleminthedatacollection.

2Therearenostatisticallysignificantdifferencesbetweenthecompaniesinthe

populationandthoseinthesampleonanyofthekeyvariables,includingtotal investment,totalturnover,returnonsales,returnonassetsorreturnoninvestment, whichistosaythereisnoevidenceofaselectionbiasinthesample.

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Table2

Means,standarddeviations,correlations,anddiscriminantvalidity.

Variables Mean S.D. 1 2 3 4 5 6 7 8 1.FirmPerformance 2.38 7.11 0.844 2.Staffing 9.64 1.76 0.179** 0.807 3.Training 8.95 2.24 0.275*** 0.623*** 0.801 4.Participation 8.37 2.25 0.152** 0.465*** 0.470*** 0.843 5.Performanceappraisal 7.75 1.82 0.186*** 0.469*** 0.465*** 0.596*** 0.789 6.Compensation 6.65 2.45 0.141** 0.284*** 0.264*** 0.316*** 0.337*** 0.773 7.Knowledgecodification 2.82 0.68 0.128* 0.400*** 0.501*** 0.402*** 0.432*** 0.188*** 0.760 8.Knowledgepersonalization 2.74 0.56 0.225*** 0.369*** 0.456*** 0.460*** 0.479*** 0.227*** 0.603*** 0.791 * p<0.1. ** p<0.05. ***p<0.01.

asLópez-Nicolásand Mero ˜no-Cerdán(2011).Thismeasure

con-sistsofsixitemsdefinedona5-pointLikertscale(seeAppendix

II)toidentifyand evaluatetheapproach thecompanytakesto

knowledgemanagement.Thehighertheratinggivenbythe

com-panytoeachitem,themorethecompanyisinvolvedinintensive

knowledgemanagement.Ofthesixitems,thefirstthree

repre-sentknowledgecodificationinitiatives(c=0.801andave=0.578),

whiletheremainingthreeareknowledgepersonalizationpractices

(c=0.833andave=0.626).

Firmperformance

Firm performance was measured using an indicator that

combinesglobaleconomicandfinancialperformanceofthe

com-pany(Beltrán-Martín,Roca-Puig,Escrig-Tena,&Bou-Llusar,2008; Delaney&Huselid,1996;Sanchez-Marin,Baixauli-Soler,& Lucas-Perez,2011).Specifically,weusedanindicatorthatreflectsthe

returnonsales(ROS),returnonassets(ROA)andreturnonequity

(ROE) of the companies in the sample, measured as the

aver-agevalue for each year from 2010to 2012,using information

fromthe SABI database (composite reliability is c=0.877 and

averagevariance extracted, ave=0.712). Using an average of 3

years’firmperformanceisintendedtomaintainthestabilityofthe

measureovertime,atthesametimeasavoidinganydistortion

introducedbythedelaybetweentheimplementationofa

knowl-edgemanagementstrategyandhumanresourcepracticesandfirm

performance(Aragón-Sánchez,Barba-Aragón,&Sanz-Valle,2003;

Sanchez-MarinandBaixauli-Soler,2015).

Controlvariables

Twocontrolvariables wereincluded.Thefirstisfirmsize,as

companiesmayhaveorganizationalcharacteristicsanddeploy

var-iousresourcesaccordingtotheirsize(Gilman&Raby,2013).Firm

sizewas measuredas its total number of employees.The

sec-ondis thetechnologicalintensity,sincethisisanindicatorthat

reflectsanydifferencesinstrategiestowardknowledgeandhuman

resourcepractices(Lepak,Takeuchi,&Snell,2003).Technological

intensitywasmeasuredusingtheOECD’s2011classification(ISIC

REV3TechnologyIntensityDefinition,2011),whichranks

compa-niesonascalewithtwolevelsoflowormedium-lowtechnological

intensity,withavalueofzero,orforhighormedium-high

techno-logicalintensity,withavalueofunity.

Goodnessoffitmodel:reliabilityandvalidity

Forthemeasurementmodelassessmenttwo-stageprocedure

recommendedbyAndersonandGerbing(1988)wasfollowed.In

thefirststage,weestimatedthemeasurementmodelusing

con-firmatory factor analysis (CFA) using the method of maximum

likelihood,whichissuitablewhenthenormalityofthedataisgiven

(Chou,Bentler,&Satorra,1991;Fornell&Larcker,1981;Gerbing &Anderson,1988;West,Finch,&Curran,1995).Inthiscasewe

haveusedtheindicesproposedbyFornellandLarcker(1981)and

BagozziandYi(1988,2012)ofaverageextractedvariance(ave)and

compositereliability(c)respectively,astheyprovideindicators

thataremoreaccuratethanothermethods,andalsousingthe

chi-squarestatisticaldistributionofSatorra-Bentler(Hair,Anderson,

Tatham,&Black,2006;Satorra&Bentler,1994;Westetal.,1995).

TheCFAadjustmentmeasureswereestimatedusingEQSV.6.3.

AsshowninAppendixII,theindicatorsarewithintheranges

rec-ommendedintheliterature(Anderson&Gerbing,1988;Fornell

& Larcker, 1981; Hoyle & Panter, 1995; Podsakoff, MacKenzie, Lee,&Podsakoff,2003),sothereisagoodfitandtherobustness

ofthemodelisassured(2 (224)=288.74(p=0.002),NFI=0.90,

NNFI=0.96,CFI=0.97,IFI=0.98,RMSEA=0.04).Ifwefocusonthe

analysisofindividualindicatorsforeachitem,allhavesignificant

valuesfortheirstandardizedcoefficients(p<0.05),beingthemodel

suitableformeasuringthespecifiedconstructs.Regardinginternal

consistency,allscaleshaveanappropriatevalueofcgreaterthan

0.6(BagozziandYi,1988,2012).Withrespecttoconvergent

valid-ity,allscaleshaveanaveabovetherecommendedlimitof0.5,while

thediscriminantvalidityhasbeenconfirmedbycheckingthatthe

squarerootofave(valuesonthediagonalofTable2)isgreater

thanthecorrelationsbetweenconstructs(off-diagonalinTable2)

(Fornell&Larcker,1981).

Table3showstheestimatedsecond-orderconstructfor

strate-gichumanresourcepractices.Constructestimatorsforthesecond

orderofthefivefirst-orderfactorsaresignificant,aswellas

indi-catorsofoverallmodelfit(2(84)=151.943(p=0.000),NFI=0.91,

NNFI=0.95,CFI=0.96,RMSEA=0.06),asrecommendedinthe

lit-erature(Hoyle &Panter, 1995).In addition, themodel hasa T

ratio(ratioofthetotalvalueof2 offirstandsecondorder)of

0.84,indicatingthatthehigherorderfactorrepresentsaverylarge

proportionof thecovariance betweenfactorsof thefirstorder,

implyingtherelationshipiscapturedappropriatelyandsufficiently

by the second order (Marsh & Hocevar, 1985). Table 4 shows

the estimated second-order construct knowledge management.

Theestimates forthetwo primefactors aresignificantandthe

resultssuggestagoodfitofthemodelspecification(2(6)=13.050

(p=0.042),NFI=0.98,NNFI=0.97,CFI=0.98,RMSEA=0.08),which

isalsoconfirmedbytheTrelationship,withavalueof0.87,

indicat-ingthatthehigherorderfactorrepresentsasignificantproportion

ofthecovarianceofthefirst-orderfactors(Marsh&Hocevar,1985).

Table3

Secondorderconstructforstrategichumanresourcepractices.

Variables Factorloadings Compositereliability

Staffing 0.767 0.840

Training 0.765

Participation 0.755

Performanceapraisal 0.811

Compensation 0.449

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Table4

Secondorderconstructforknowledgemanagement.

Variables Factorloadings Compositereliability

Knowledgecodification 0.743 0.871

Knowledgepersonalization 0.999

2(6)=13.050(p=0.042),NFI=0.98,NNFI=0.97,CFI=0.98,RMSEA=0.08.

Results

Descriptiveanalysisandstructuralmodel

Table 5 shows the means, standard deviations and

correla-tionsof thevariables.It canbeseenthatthere arecorrelations

betweenthem,althoughtheyarenotveryhighexcept,asexpected,

thecorrelationbetweenstrategichumanpracticesandknowledge

management.

Table6andFig.1showtheresultsofstructuralequation

mod-eling.Inviewoftheresultsweconfirmhypothesis1asknowledge

management hasa positive effect onfirm performance, witha

directeffectof0.18(Model1).Similarly,itisfoundthat

strate-gichumanresourcepracticeshaveapositiveandsignificanteffect

onfirmperformance,withapositiveandsignificantdirecteffect

of0.31(Model2),confirminghypothesis2.Also,itisconfirmed

thatknowledgemanagementhasapositiveinfluenceontheuseof

strategichumanresourcepractices,withapositiveandsignificant

directeffectof0.78(Model2)andthattheindirecteffectof

knowl-edgemanagementonfirmperformancethroughstrategichuman

resourcepracticesispositiveandsignificant,withavalueof0.24,

whichleadsustoexaminethemediatingeffectofhumanresource

management,asdescribedinthemediationtestsetoutbelow.

Mediationtest

Four conditions are necessary for the existenceof aneffect

ofmediation(Baron&Kenny,1986).First,theindependentand

dependentvariablemust becorrelated:as shownin Fig.1, the

independentvariable, knowledge management, and the

depen-dentvariable,firmperformance,arecorrelated(Model1:=0.18,

p<0.05).Second,theindependentvariableandmediatormustbe

correlated:theindependentvariable,knowledgemanagement,and

themediator,strategichumanresourcepractices,arecorrelated

(Model2:=0.78,p<0.01).Third,themediatorandthe

depen-dentvariablemustbecorrelated:themediator,strategichuman

resourcepractices,andthedependentvariable,firmperformance,

arecorrelated(Model2:=0.31,p<0.1).Finally,theeffectofthe

independentvariable onthedependentvariableshould change

whenthemediatingvariableisintroduced:inModel2itcanbe

seen thattheeffect ofknowledgemanagement onfirm

perfor-mancechangeswhencontrollingforthestrategichumanresource

practices,tobecome=−0.07 (p>0.1,not significant).Since all

conditionsaremet,itisconcludedthatstrategichumanresource

practicesmediatetherelationshipbetweenknowledge

manage-mentandfirmperformance.Inaddition,weusedtheSobeltest

(Baron&Kenny,1986;Sobel,1982)toconfirmthatitiscomplete

mediation,sincethetestvalueforSobelzissignificant,andthe

ratiooftheeffectisgreaterthan0.8(z<1.82,p<0.1)(Zattoni,Gnan &Huse,2012).

Table5

Means,standarddeviations,andcorrelations.

Mean S.D. 1 2 3 4

1.Firmsize 4.42 0.43 1

2.Technologicalintensity 0.22 −0.01 0.07 1

3.Firmperformance 2.38 7.11 0.04 0.16* 1

4.Knowledgemanagemente 4.83 0.96 0.14** 0.07 0.20*** 1

5.Strategichumanresourcepractices 29.83 5.49 0.16** 0.14** 0.25*** 0.61***

*p<0.1. **p<0.05. ***p<0.01.

Table6

Directandindirecteffectsinthestructuralmodel.

Independentvariables Dependentvariables

Model1 Model2

Firmperformance Strategichumanresource practices

Firmperformance

Directeffects Directeffects Directeffects Indirecteffects

Strategichumanresource practices – – 0.31* (1.87) – Knowledgemanagement 0.18** (2.13) 0.78*** (7.81) −0.07 (0.41) 0.24* (1.85) Firmsize 0.00 (0.03) – 0.01 (0.16) – Technologicalintensity 0.12 (1.41) 0.10 (1.36) *p<0.1. **p<0.05. ***p<0.01. tvaluesinparentheses.

Goodnessoffitofmodel1:2(37)=37.65,NFI=0.95,NNFI=0.99,CFI=0.99,RMSEA=0.02.

(7)

Model

1

Modelo 2

Knowledge condification Knowledege codification Knowledge management Knowledge management Performance appraisal Participation Strategic human resource practices Compensation Training Staffing Knowledge personalization Knowledge personalization

Note: χ2 (37) = 37.65, NFI = 0.95, NNFI = 0.99, CFI = 0.99, RMSEA = 0.02

Note: χ2 (283) = 381.27, NFI = 0.87, NNFI = 0.96, CFI = 0.96, RMSEA = 0.04 0.18** 0.31* 0.01 0.10 –0.07 0.78*** 0.12 0.00 Firm performance Firm performance Firm size Firm size Technological intensity Technological intensity

Fig.1. Relationshipsamongknowledgecodification,strategichumanresourcepracticesandfirmperformance.

Furthermore, the mediating effect of each of the strategic

human resource practices was checked individually. This has

beentested withstructural modelsfor each of thefivehuman

resource practices and the results are shown in Table 7. In

terms of direct effects, knowledge management has a positive

andsignificanteffectonstaffing,training,performanceappraisal

and participation practices which, withthe exception of

com-pensation practices, confirms the role of these practices as

disseminatorsofknowledgemanagementintheorganization.In

terms of indirect effects, staffing and training have significant

impactasmediators(total)of therelationshipbetween

knowl-edge management and firm performance (with coefficients of

0.49 and 0.30 respectively). In contrast, performance appraisal

andparticipationdonotexertanysignificanceeffect,despitethe

positiveandsignificantinfluenceofknowledgemanagement on

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Table7

Directeffectsinthestructuralmodelswithstrategichumanresourcepractices.

Independentvariables Dependentvariables

Model1 Model2

FirmPerformance Staffinga Trainingb Performanceappraisalc Participationd Compensatione Firmperformance Knowledgemanagement 0.18** 0.18** 0.68** 0.63*** 0.57*** 0.27 n.s.f Staffing – – – – – – 0.49*** Training – – – – – – 0.30*** Performanceappraisal – – – – – 0.12 Participation – – – – – – 0.12 Compensation – – – – – – −0.15** Firmsize 0.00 0.13* 0.05* 0.01 0.01 0.01 Technologicalintensity 0.12 0.09 0.12 0.08 0.08 0.10 – *p<0.1. **p<0.05. ***p<0.01.

Goodnessoffitofmodel1:2(37)=37.65,NFI=0.95,NNFI=0.99,CFI=0.99,RMSEA=0.02. aFitmodelwithstaffing:2(58)=58.46,NFI=0.95,NNFI=0.99,CFI=0.99,RMSEA=0.01. bFitmodelwithtraining:2(58)=78.44,NFI=0.94,NNFI=0.98,CFI=0.98,RMSEA=0.04.

c Fitmodelwithperformanceappraisal:2(58)=48.05,NFI=0.95,NNFI=0.99,CFI=0.99,RMSEA=0.01. d Fitmodelwithparticipation:2(58)=70.29,NFI=0.95,NNFI=0.99,CFI=0.99,RMSEA=0.03. eFitofmodelwithcompensation:2(58)=65.17,NFI=0.94,NNFI=0.99,CFI=0.99,RMSEA=0.03.

f Inthefivemodelswithhumanresourcepracticesvariablesasmediators,thereisnosignificantinfluenceofknowledgemanagementonfirmperformance,withthe

respectivefollowingvaluesfound:0.08,−0.03,0.11.0.12and0.13.

Conclusionsanddiscussion

Currently,bothknowledgeandhumanresourcesmanagement

havebecomeimportantassetsfororganizationsthatcangenerate

valuableandinimitableresourcesandcapabilitiesforcompanies

(Barney, 1991; Pfeffer, 1994; Wernerfelt, 1984). Several

stud-iesagreethatknowledgemanagementandhumanresourcesare

closelyinterrelated(Afiouni,2007;Haesli&Boxall,2005;Theriou

&Chatzoglou, 2008; Wang et al.,2012), which hasledto

var-iousapproaches tocausality betweenknowledge management,

human resources management and firm performance (Jackson

etal.,2014).Thispapergoesbeyondtheclassicvisionofknowledge

management asamediator of therelationshipbetweenhuman

resourcemanagement andfirmperformance (Becker&Huselid,

1998;Delaney&Huselid,1996;Delery&Shaw,2001;Guest,1997; Huselid,1995)toproposeanalternativemodelthatlinkstheroleof

strategichumanresourcepracticesasacatalyticmechanismthat

modifiestheeffectiveness(intermsoffirmperformance)of

knowl-edgemanagementstrategies(Chuangetal.,2013;Jiangetal.,2013).

Thus,itfillsanimportantgapinthisareaofresearch,asindicated

byrecentreviewsofliterature(Jacksonetal.,2014;Jiangetal.,

2013)whichcallforstudiesanalyzingthemediatingroleofhuman

resourcemanagementinthelinksbetweenknowledge

manage-mentandfirmperformance.

Overall,thisstudyprovidesempiricalevidencetosupportthe

ideathataknowledgemanagementstrategy,actingasa

coordi-natingmechanism,indicatestheneedforenterprise-levelstrategic

humanresourcepractices(Chuangetal.,2013;Liao,2011;Wang

etal.,2012),recognizingtheimportanceoftargetingthese

prac-ticestocreateahighperformanceworksystem(Chen&Huang,

2009;Huselid,1995).Humanresourcemanagementcanthenplay

amediatingroleand,therefore,determineoftheeffectivenessof

knowledgemanagementstrategiesandtheircontributiontothe

competitivenessofthecompany.

Specifically, our first result indicate clear support for the

assumptionthat knowledgemanagement hasa positiveimpact

onfirmperformance,consistentwithmostoftheliterature(Chen,

Monahan,&Feng,2009;Hsiaoetal.,2011;Huang,2011; López-Nicolás&Mero ˜no-Cerdán,2011;Palacios&Garrigós,2006;Raˇsula

et al.,2012).In this regard, studies point totheimportance of

concentratingeffortsandresourcesontheactivemanagementof

knowledge,asthiswillallowcompaniestoremaincompetitiveand

grow.Oursecondresultevidencethatthestrategichumanresource

practicesbasedonhighperformanceworkmodel(Huselid,1995;

Snell&Youndt,1995)positivelyinfluencefirmperformance,which

isconsistentwithmoststudiesinthisfield(Becker&Gerhart,1996;

Chen&Huang, 2009;Collins&Clark,2003;Delaney&Huselid, 1996;Guest,1997;Youndtetal.,1996).

Third,andmostimportant,ourstudyconfirmedthatthe

strate-giesofknowledge management determinethestrategic human

resourcemanagementpracticesthatcanbeused,and,in

partic-ular,guidetheorientationofthemanagementofhumanresources

towardselectiveselection,intensivetraining,activeparticipation

and comprehensive performance appraisal. Our results support

thetheoreticalapproachofSnellandYoundt(1995),Liao(2011),

Wangetal.(2012)andChuangetal.(2013),whoproposedthatthe

knowledgemanagementstrategyindicatesthecompany’sneedsin

termsofhumanresourcesmanagement.Thuscompaniesrequire

an appropriatemix of knowledgeconstruction, personalization,

disseminationanduseofknowledgeonthepartoftheir

employ-ees,andthenatureofthatmixwilldecidewhichelementsofa

highperformanceworksystemwillbestalignwiththecompany’s

requirements, mediating then firm performance (Chuang etal.,

2013;Liao,2011).

Inaddition,checkingthemediatingeffectofstrategicresource

managementpracticesindividuallyhasconfirmedthatonlystaffing

and training fullymediatetherelationshipbetweenknowledge

management and firm performance. A less prominent role can

beassignedtoperformanceappraisalandparticipation;although

knowledge management hasa significanteffect on them, they

cannot,alone,improvefirmperformance.Moreover,incentivesin

isolationareneitherinfluencedbyknowledgemanagementnordo

theyhaveaneffectonfirmperformance.Thisservestohighlight,

asshownintheliterature,thathumanresourcepracticesaremost

effectivewhenanalyzedassystemsofpracticesthathave

syner-gisticeffectsbeyondtheindividualpractices(Arthur,1994;Chen&

Huang,2009;Delery&Doty,1996;Huselid,1995;MacDuffie,1995; Youndtetal.,1996).

Inthissense,wehavefoundthatthereisafullmediatingeffect

ofstrategichumanresourcepracticesintherelationshipbetween

knowledgemanagement and firm performance,which

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suggeststheneedforcausalmodelswheretheeffectsofhuman

resource management act as a mediating mechanism between

knowledge management and organizational outcomes (Chuang

et al.,2013; Jackson et al., 2014). In this context, ourresearch

respondtothesuggestionofJiangetal.(2013:1469),encouraging

“futureresearcherstoexploreamorecompletemediationmodel

inwhichHRsystemscanmediatetheinfluenceoforganizational

characteristics,includingbusinessstrategy,onemployeeoutcomes

whichmayfurtherleadtofirmperformance”.Thispaper,therefore,

inpartprovidesevidenceinthislineofresearch,whichcontributes

toknowledgeaboutthecontributionofhumanresourcesystems

toorganizations.

Furthermore,inviewoftheresultsofthisstudy,wecan

high-lightseveralimplicationsforbusinesspractice.Ontheonehand,

managersshouldemphasizetheadoptionofknowledge

manage-mentstrategiesthatsuittherequirementsoftheorganizationand

theenvironment,and thusconcentrateeffortsand resourceson

theactivemanagementofsuchknowledge.However,thereisalso

a need to align knowledge management withstrategic human

resource practices, so that they can contribute to a successful

knowledgemanagementstrategyfromaperformanceviewpoint.

Accordingto the knowledge management strategy adopted by

thecompany, managers should select appropriate high

perfor-manceworkpractices, focusing onconstruction, customization,

disseminationanduseofknowledgebyemployees.Itistherefore

importantforcompaniestoinvestinthedesignand

implemen-tationof suchstrategic humanresource practices,ranging over

staffing,training,participation,evaluationandcompensation.

Finally,thisworkisnotwithoutitslimitations,whichinturn

provideopportunitiesfor futureresearch.Thefirst limitationis

linkedtotherestrictionofthestudytothecontextofsmalland

mediumcompanies,which do not usuallyimplement themost

developedbusinessmanagementpractices,amongwhichwecan

includehumanresourcepractices.Itwouldbevaluabletoextend

thestudywithlargercompanies,whichcanprovideamore

vari-ableframeworkofhumanresourcemanagement.Similarly,further

studiescouldextendthemodeltoincludeotherfactorsthatmay

helpspecifytherelationshipbetweenhumanresource

manage-mentandknowledgemanagement.Forexample,theinclusionof

variablessuchasflexibilityorambidexterityofhumanresources

could contribute to the development of the model, since it is

conceivable that thesefactors may have moderatingeffects on

the relationship between knowledge management and human

resourcepractices.Inmuchthesamewayitwouldalsobe

desir-abletotestthemodelatdifferentlevels,analyzingtherelationships

fromtheperspectiveofmanagementcomparedtooperational

con-siderationsortakingintoaccounttheviewsofkeyemployeesas

comparedwithmoreperipheralemployees.Itisalsopossiblethat

thespecificationofthemodelforaspecificsectorcouldhelpto

deepenunderstandingofthemechanismsinvolvedindetermining

howhumanresourcepracticescontributetotheeffective

imple-mentationofknowledgemanagementstrategiesinthecompany.

Nevertheless,thisstudyisafirstapproachtoanalternative

per-spectiveregardingtheroleofhumanresourcemanagementasa

catalyticmechanismofobjectivesandstrategiesofthe

organiza-tion.

AppendixI. Measurementscales

1.Strategichumanresourcepractices3:

Staffing

STAF1.Selectivityinhiring

STAF2.Selectionforexpertiseandskills

STAF3.Selectionforfuturepotential

Training

TRA1.Availabilityofformaltrainingactivities

TRA2.Availabilityofcomprehensivetrainingpoliciesand

pro-grams

TRA3.Availabilityoftrainingfornewhires

Participation

PART1.Employeesareallowedtomakedecisions

PART2.Employeesareallowedtosuggestimprovementsinto

work

PART3.Employees’voicesarevaluedbytheorganization

Performanceappraisal

APPR1.Developmentalfocus

APPR2.Results-basedappraisal

APPR3.Behavior-basedappraisal

Compensation

COMP1.Profitsharing

COMP2.Incentivepay

COMP3.Thelinkbetweenperformanceandreward

2.Knowledgecodificationandpersonalization4:

Knowledgecodification

KC1.Knowledge(know-how,technicalskill,orproblemsolving

methods)iswellcodifiedinyourcompany

KC2.Resultsofprojectsandmeetingsshouldbedocumentedin

yourcompany

KC3.Knowledgeissharedthroughcodifiedformslikemanuals

ordocumentsinyourcompany

Knowledgepersonalization

KP1.Knowledgecanbeeasilyacquiredfromexpertsand

co-workersinyourcompany

KP2.Itiseasytogetface-to-faceadvicefromexpertsinyour

company

KP3. Informal dialogsand meetings areused for knowledge

sharinginyourcompany

3Scale:1=minimalimprovement,5=maximumimprovement. 4Scale:1=minimalimprovement,5=maximumimprovement.

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AppendixII.

Confirmatoryfactoranalysis

Variable/items c.e c ave

Firmperformance 0.879 0.712

Returnonassets(ROA) 0.984 Returnonequity(ROE) 0.710 Returnonsales(ROS) 0.814

Staffing 0.849 0.652

Selectivityinhiring 0.823 Selectionforexpertiseandskills 0.790 Selectionforfuturepotential 0.810

Training 0.843 0.642

Availabilityofformaltraining activities

0.813 Availabilityofcomprehensive

trainingpoliciesandprograms

0.836 Availabilityoftrainingfornewhires 0.754

Participation 0.880 0.711

Employeesareallowedtomake decisions

0.797 Employeesareallowedtosuggest

improvementsintowork

0.843 Employees’voicesarevaluedbythe

organization 0.887 Performanceappraisal 0.834 0.623 Developmentalfocus 0.853 Results-basedappraisal 0.745 Behavior-basedappraisal 0.773 Compensation 0.815 0.597 Profitsharing 0.875 Incentivepay 0.737

Thelinkbetweenperformanceand reward

0.694

Knowledgecodification 0.801 0.578

Knowledge(know-how,technical skill,orproblemsolvingmethods)is wellcodifiedinyourcompany

0.638

Resultsofprojectsandmeetings shouldbedocumentedinyour company

0.731

Knowledgeissharedthrough codifiedformslikemanualsor documentsinyourcompany

0.890

Knowledgepersonalization 0.833 0.626

Knowledgecanbeeasilyacquired fromexpertsandco-workersinyour company

0.876

Itiseasytogetface-to-faceadvice fromexpertsinyourcompany

0.771 Informaldialogsandmeetingsare

usedforknowledgesharinginyour company

0.718

Goodnessoffitofconfirmatoryfactoranalysis(CFA):2(224)=288.74(p=0.002);

NFI=0.90;NNFI=0.96;CFI=0.97;IFI=0.98;RMSEA=0.04.

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Jour-nalofManagement,http://dx.doi.org/10.1177/0149206312463936(Published

Figure

Table 3 shows the estimated second-order construct for strate- strate-gic human resource practices
Table 6 and Fig. 1 show the results of structural equation mod- mod-eling. In view of the results we confirm hypothesis 1 as knowledge management has a positive effect on firm performance, with a direct effect of 0.18 (Model 1)
Fig. 1. Relationships among knowledge codification, strategic human resource practices and firm performance.

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