102. analyzing the relations between intellectual capital and performance in local governments

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  • 8/3/2019 102. Analyzing the Relations Between Intellectual Capital and Performance in Local Governments

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    1

    AnalyzingtheRelationsbetweenIntellectualcapitalandPerformance

    inLocalGovernments1

    Sandra

    Cohen

    2

    and

    Orestes

    Vlismas

    AthensUniversityofEconomicsandBusiness

    DepartmentofAccountingandFinance

    76PatissionStreet

    GR10434Athens.GreeceP

    Pleasedonotquotewithoutauthorspermission

    ThisDraft:May,2011

    Abstract

    This paper examines the relation between intellectual capital (IC) and organizational performance in local

    governments (LGs) in Greece. Existing research literature argues that public organizations seem to be more

    intellectual capital idiosyncratic than private sector organizations. Therefore, it is expected that effective

    intellectual capital management would have a positive effect on their performance. However, empirical

    evidence in this field is lacking. We address this issue within the context of two intellectual capital

    epistemological viewsproposedbyMouritsen(2006);theIC1ostensiveviewandtheIC2performativeview.We

    employadualapproach inourresearchbycombiningpublishedandsurveydata.Wehavegatheredfinancial

    information through accrual accounting financial statements in order to measure inferred intellectual capital

    (according

    to

    IC1ostensive

    view).

    Additionally,

    we

    have

    collected

    data

    suitable

    for

    analyzing

    the

    perceived

    intellectual capital through a structured questionnaire addressed to a sample of Greek LGs (according to IC2

    performativeview).Oursamplerefersto92LGs.Ourempiricalevidenceadvocatestheexistenceofsignificant

    positive relations among the sub categories of intellectual capital. Further, data analysis reveals that the sub

    categoriesofintellectualcapitalarerelatedwithimprovedperformancemeasuredbothwithfinancialratiosand

    perceptions of performance. Therefore, our empirical findings hold irrespectively of the intellectual capital

    epistemological viewandoffercorroboratingevidencethatLGswithhighICperformbetterthatlowICLGs.

    Keywords:IntellectualCapital,ICostensiveview,ICperformativeview,FinancialPerformance,Local

    Governments,Greece

    1. Cohen is an Assistant Professor of Accounting at the Department of Business Administration in Athens University of

    Economics and Business and Vlismas is a Lecturer Adjunct of Accounting at the Department of Accounting & Finance in

    AthensUniversityofEconomicsandBusiness.

    Emailaddresses:

    [email protected]

    (Sandra

    Cohen),

    [email protected]

    (Orestes

    Vlismas).

    2.Correspondenceauthor.

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    1.Introduction

    Thesunrise ofknowledgeeconomyhas increased theeconomicsignificance of intangibleassets for

    the operational performance of organizations (McGrattan and Prescott, 2007). Initially, research

    efforts for establishing empirical relationships of intangibles with operational performance and

    subsequentlywithmarketperformancefocusedonspecifictypesofintangiblesassociated,primarily,

    withadvertisingandresearchanddevelopment (R&D)expenses(e.g.HirscheyandWeygandt,1985;

    Chauvin and Hirschey, 1993; Sougiannis, 1994; Lev and Sougiannis, 1996; Eberhart et al. 2004).

    Progressively, the relationship of intangibles with operational performance started to be examined

    undertheprismofhumancapital (Hanson,2004;PantzalisandPark,2009)ororganizationalcapital

    (Levetal.2009).

    Agrowingnumberofrecentresearcheffortsexaminestheeconomicsignificanceofintangibleswithin

    the context of a broader and more abstract concept, that of intellectual capital (Steward, 1991).

    IntellectualCapital(IC)isabroadconceptincludingtheknowledgeandthelearningcapabilitiesofan

    organization.Itismanifestedasthesynergyofknowledgeresourcesassociatedwiththehumanassets

    (i.e. human capital), the organizational structures (i.e. structural or organizational capital) and the

    externalsocial

    partners

    (i.e.

    customer,

    or

    relational

    or

    social

    capital)

    of

    an

    organization.

    Existing empirical research has, primarily, focused on investigating the relations between IC and

    operational and financial performance of profit seeking organizations. The relationship of IC and

    intangibleswithoperationalandsubsequentmarketperformancehasbeenconfirmedacrossdifferent

    industrialsettings,nationaleconomies,firmcharacteristicsandotherenvironmentalororganizational

    contingencies (e.g. Lin and Edvinsson, 2008). At the same time, an emerging literature argues that

    public organizations are intellectual capital idiosyncratic and, thus, effective intellectual capital

    managementisexpectedtoimprovetheefficiencyofthepublicsectororganizationsaswell(Kongand

    Thomson, 2006; Kong, 2007; Kong and Prior, 2008; Kong, 2010). This strand of literature can be

    viewedthroughthelancesofNewPublicManagement,inthesensethatintellectualcapitalisasource

    ofeconomicefficiencyforpublicsectororganizations.However,empiricalevidencefortherelationof

    intellectualcapital

    with

    the

    operational

    efficiency

    of

    public

    sector

    organizations

    is

    lacking.

    Thescopeofthisstudyistoanalyzetherelationbetweenintellectualcapitalandperformancewithin

    thecontextofthepublicsectororganizationsandLocalGovernmentsinparticular.Inordertoattaina

    moreholistic approach to this investigation theaforementioned relationship isexamined under the

    twoprincipalintellectualcapitalepistemologicalviewsrecognisedbyMouritsen(2006).Thesearethe

    IC1ostensiveviewandtheIC2performativeview.Ouranalysisisbasedonasampleof92Greeklocal

    governments.

    Webelievethatourstudy istimelybytaking intoaccountthefinancialproblemsfaced inthepublic

    sector in Europe and in Greece in particular. Unrevealing the relations between IC and financial

    performanceisexpectedtohaveusefulimplicationsforpublicsectormanagement.

    Webelievethatourstudycontributesto literature inseveralaspects.Firstly,weattempttoapply in

    practicethetwoepistemologicalviewsofICasrecognisedbyMouritsen(2006).Thereforeweadopta

    dual approach in our research by combining financial statements and survey data in order to

    operationalize and measure IC under the two different IC approaches. Secondly, we propose an

    approachinordertoassessthelevelofICsubdomains(i.e.humancapital,organizationalcapitaland

    socialcapital)inlocalgovernmentsbyusingaccrualbasedfinancialdata.Ourapproachisinnovativein

    thesensethattriestoadapttotheidiosyncraticcharacteristicsoflocalgovernmentsthatdeviatefrom

    those of private sector companies. Finally, we develop a categorization scheme to distinguish local

    governmentsaccordingtotheirICintensity.

    Theremainingofthepaper isorganizedasfollows.Section2presentsthebackgroundandSection3

    the

    theoretical

    framework,

    the

    research

    objectives

    and

    the

    hypotheses

    of

    the

    study.

    Section

    4

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    3

    analysesthemethodologyofthisresearchinitiative.InSection5wepresenttheempiricalresults.The

    lastsectionofthepaperincludesourconclusions.

    2.Background

    Thissectionprovidesthetheoreticalbackgroundforthestudy.Initially,thetermintellectualcapitalis

    definedbyreviewingavarietyoftheoreticalpropositions(Mouritsen,2006;Swart,2006;Martnde

    Castroetal.,2011).Then,theidiosyncraticroleofintellectualcapitalinpublicsectorisanalyzed.

    2.1.DefinitionofIntellectualCapital

    The term intellectual capital is usually employed by the research community as a synonym for

    intangible assets (Steward, 1991) which can be transformed to economic value. Yet, there is not a

    commonacceptedunifieddefinitionforintellectualcapital.

    In the endeavour to clarify intellectual capital, related literature demonstrates a proliferation of

    theoreticalpropositionsandpossiblereportingframeworksforvisualising intellectualcapitaltoboth

    internal and external agents. A diversity of theoretical propositions for the nature of intellectual

    capitalisobservedwithintherelevantliterature(Swart,2006;MartinDeCastroetal.,2011).Yet,by

    reviewing

    Table

    1,

    which

    presents

    various

    definitions

    of

    intellectual

    capital,

    we

    can

    draw

    someconclusions. Firstly, intellectual capital refers to three dimensions; the organizational knowledge of

    the humanassets, the organizationalstructuresand theexternalsocialpartnersofanorganization.

    Secondly,intellectualcapitalistransformedtoeconomicvaluethroughorganizationalaction.Thirdly,

    intellectual capital is related to the existence of competitive advantage because intellectual capital

    enhances the environmental responsiveness of the firm. The ability to manage knowledge for

    improvingenvironmentalresponsivenessisassociatedwithorganizationallearning(ArgyrisandSchn,

    1996). For the purposes of this study, we define intellectual capital as the stock of organizational

    knowledge and the collective ability to transform this knowledge to action by leveraging

    organizationallearningphenomena.

    InsertTable1

    As already mentioned, intellectual capital is usually analysed to, at least, three dimensions: human

    capital, structural capital and relational (or social capital) (MartndeCastro et al., 2011). Human

    capitalreferstotheknowledge,capabilitiesandbehavioursofthehumanfactor(CabritaandBontis,

    2008;HsuandFang,2009).Structuralcapitalincludestheknowledgeincorporatedintotechnological

    infrastructures(e.g.EdvinssonandMalone,1997;Sveiby,1997)andorganizationalforms(Changetal.

    2008);andtheabilitytoimproveit.Relationalcapitalwhichremainsratherunderexploredrelatively

    totheothertwoaforementioneddimensionsofintellectualcapital(Swart,2006;MartindeCastroet

    al., 2011), concerns the knowledge and the ability of an organization to manage its relations with

    externalsocialpartnerstocreateeconomicvalue.Customers,suppliers,allies,othersocialagentsas

    wellascorporatereputationcanbeconsideredasvariablesassociatedwithexternalenvironment.In

    thecase

    of

    local

    governments

    and

    public

    organizations

    relational

    capital

    is

    referred

    as

    social

    capital.

    The three dimensions of intellectual capital are highly interrelated. Human capital is an input to

    structuralandsocialcapital.Structuralcapital isan input tosocialcapital.Finally,the interactionof

    intellectualcapitalwiththeenvironmentgoesthroughsocialcapital.

    Theimpliedcausalrelationshipbetweenintellectualcapitalandorganizationalperformance(Levetal.

    2009)andtheabsenceofsufficient informationwithinthecontextoftraditionalfinancialaccounting

    paradigm (Canibano et al. 2000) stimulated the development of a number of intellectual capital

    reporting frameworks (see e.g. Kaplan and Norton, 1992; Brooking, 1996; Edvinsson and Malone,

    1997, Roos et al., 1997, Sveiby, 1997; Bontis et al., 1999; Andriessen, 2005). Intellectual capital

    reporting frameworks are classified as: (a) returnonassets, (b) market capitalization, (c) balanced

    scorecard, and (d) direct measurement methods. The information provided by intellectual capital

    reporting

    frameworks

    is

    market

    oriented,

    i.e.

    it

    is

    addressed

    to

    stakeholders

    external

    to

    the

    organization.Yet,intellectualcapitalreportingframeworkshavebeendevelopedwithinthecontextof

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    management control systems. Existing research initiatives for developing and analysing intellectual

    capital reporting frameworks are primarily oriented towards private sector (see e.g. Kaplan and

    Norton,1992;Brooking,1996;EdvinssonandMalone,1997,Roosetal.,1997,Sveiby,1997;Bontiset

    al.,1999;Andriessen, 2005).Theyemphasizeon the provisionofqualitative information that isnot

    accountedforintraditionalfinancialstatementsinordertoaccesstheeffectsofintellectualcapitalon

    economicperformance.

    2.2.IntellectualcapitalinNonProfitSector

    Intellectual capital has been mainly studied within the context of the private sector (Kong, 2010).

    However, the rise of the new management paradigm for public sector organizations and the

    idiosyncraticnatureofthepublicsectortriggeredresearchinitiativestoinvestigateintellectualcapital

    within its context. More specifically, the changes in the public sector since 1980s, such as the

    extensiveuseofcommercialization,theincreasedlevelsofcompetitionandthedemandforimproved

    efficiency in service delivery, posed requirements for a new management philosophy for public

    organizations usually described with the umbrella term of New Public Management (Hood, 1995).

    New Public Management (NPM) dismantles the distinction between private and public sector by

    proposing ideasborrowedfromtheconceptualframeworkofprivateadministrativepractise(Power,

    1997).NPM

    provides

    atheoretical

    rationalization

    for

    intellectual

    capital,

    as

    aprivate

    sector

    oriented

    metaphor, to be viewed as a new conceptual framework for public strategic management (Kong,

    2007;KongandPrior,2008;KongandThomson,2006).

    Preliminaryresearchinitiativesindicatethattheroleofintellectualcapitalinnonprofitsectorismore

    criticalthaninthecaseofprivatesector.Ramrez(2010)arguesthatthegrowingsignificancegivenby

    literaturetotheapplicationofmodelsfor intellectualcapitalmanagement inthenonprofitsectoris

    duetothefactthat intangibility isevenmorepresentthan inthecaseofprivateorganizations.The

    intangibility of the public sector organizations concerns their goals, production process and their

    outputs.Publicorganizationstendtohavemultipleobjectivesofnonfinancialnature(Ramrez,2010).

    Moreover, the public sector has always been human capitalintensive in its production process

    (Serrano

    et

    al.,

    2003).

    Finally,

    public

    sector

    organizations

    focus

    on

    intangible

    outcomes

    (Wall,

    2005).

    3.TheoreticalFramework,ResearchObjectivesandHypothesesDevelopment

    Theresearchobjectiveofthisstudyistoinvestigatetherelationshipbetweenintellectualcapitaland

    performance within the context of the public sector. The relationship of intellectual capital with

    operationalperformancehasbeendocumented intheprivatesector(e.g.Levetal.,2009)albeitnot

    extensively. Inourstudywechooseatypicalpublicsectorsetting,thatof localgovernmentstotest

    therelationbetweenintellectualcapitalandperformance.Aslocalgovernmentsaremoreintellectual

    capitalintensivethanprivateorganizations(Cincaetal.,2003,Kong,2007;KongandPrior,2008)we

    expectthatthisrelationwillbeevidentaswell.

    Thisleadstothefollowinghypothesis:

    H1: In the case of local governments, Intellectual Capital ispositively correlated with

    performance.

    Inourstudy,weoperationalizethevalueofIntellectualcapitalunderthetwoprismsthatcorrespond

    to the two different epistemological views developed by Mouritsen (2006). Mouritsen (2006)

    distinguishestwocentralthemeswithin intellectualcapital(IC)research:IC1ostensiveviewandIC2

    performative view. IC1ostensive research stream adopts a positivistic view and argues that

    intellectual capital can be analyzed to its components (i.e. human, organizational and relational

    capital)andthecontributionofthesecomponentstoorganizationalperformancecanbemeasuredin

    termsoftheirimplicationsonfinancialfundamentals(e.g.riskandreturns,markettobook,etc.).On

    the other hand, IC2performative research stream recognises that intellectual capital is part of a

    configuration

    of

    knowledge

    management

    and,

    consequently,

    the

    nature

    of

    intellectual

    capital

    is,idiosyncratically,definedwithinthespecificorganizationalcontextanditseffectsonperformanceare

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    realisedbyinterpretingitsroleonmakingorganizationscapableofperformingtowardsendogenously

    defined values. IC2performative research stream emphasises on narratives, qualitative information

    anddescriptions.

    Under the prism of IC1 ostensive research stream, the positive effects of intellectual capital on the

    performanceoflocalgovernmentscanbemeasuredintermsofimprovedfinancialperformance.Yet,

    IC1ostensive

    stream

    has

    not

    developed

    common

    accepted

    unified

    metrics

    for

    measuring

    the

    value

    of

    theintellectualcapitalofanorganization(see,e.g.Bontis,1998,Swart,2006).Onlyinferencesofthe

    economic value of intellectual capital can be derived which are expected to be homeostatic to its

    latent truevalue.For thisreason,consistentlywith the IC1ostensiveperspective ,weusethe term

    inferred intellectual capital to denote the value of the intellectual capital that could be captured

    throughtpubliclyavailablefinancialinformationreportedinfinancialstatements.

    Following hypothesis H1, it is expected that higher values of inferred intellectual capital would be

    positivelycorrelatedwith financialperformance.Further,as IC1ostensiveresearchstreamtheorizes

    intellectualcapitalasthesumofdiscretebutinterrelatedcomponents(e.g.humancapital,structural

    capital,socialcapital), it is expected thatall thesecomponentsof inferred intellectualcapitalaffect

    financialperformanceinapositivemanner.Summarizingtheaboveanalysis,thefollowinghypotheses

    arederived:

    H11:Inthecaseoflocalgovernments,InferredIntellectualCapitalanditsComponents

    arepositivelycorrelatedwithFinancialPerformance.

    Financialperformanceisassessedintermsofefficiency,liquidityanddebtmanagement.Thecriteria

    usedfortheselectionofthesedimensionsarethattheyconstitutebothcommonlyencounteredand

    distinctive aspects for financial performance assessment. Thus, from hypothesis H11, the following

    hypothesesarederived:

    H11.1:Inthecaseoflocalgovernments,InferredIntellectualCapitalanditsComponents

    arepositivelycorrelatedwithefficiency.

    H11.2:In

    the

    case

    of

    local

    governments,

    Inferred

    Intellectual

    Capital

    and

    its

    Components

    arepositivelycorrelatedwithliquidity.

    H11.3:Inthecaseoflocalgovernments,InferredIntellectualCapitalanditsComponents

    arepositivelycorrelatedwithdebtmanagement.

    Adopting the IC2performative epistemological view, the research question of the relationship

    between intellectualcapitalandperformanceshouldbeexaminedby interpreting itsroleonmaking

    organizations capable of performing towards endogenously defined values. Decoding the intra

    organizationalroleof intellectualcapitalrequiresanalysingtheperceptionsofthe internalagentsof

    the organization towards perceived intellectual capital. Perceived intellectual capital, in contrast to

    inferredintellectualcapital,reflectsthequalitativecharacteristicsthatinternalagentsattributetothe

    intellectual

    capital.

    Further,

    perceived

    intellectual

    capital

    is

    evaluated

    by

    its

    ability

    to

    makeorganizations capable of achieving endogenously defined values. This implies that IC2performative

    epistemological view opposes to the direct linkage between intellectual capital and financial

    performance and attempts to visualise the effects of perceived intellectual capital on perceived

    performanceusingnarratives,qualitativeinformationanddescriptions.Perceivedperformancerefers

    to what extent internal agents believe that the perceived intellectual capital serves organizational

    goals.Perceptionsareviewsthatdonotnecessarilycorrespondtoreality.

    InsertFigure1

    In thecaseof localgovernments, IC2performativeepistemologicalview isvaluable inexamining H1

    hypothesisfromamultifacetedperspective.Empiricalresearchdocumentsthediversitythatexistsin

    termsof

    the

    awareness

    and

    the

    perceptions

    of

    non

    profit

    organizations

    regarding

    intellectual

    capital

    (e.g.Scheimer andSamkin,2008,Guthrieetal.,2009,BeneveneandCortini,2010).Publicsector is

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    characterisedbylowermotivationtoadoptnewmanagementpractises,bureaucracyandlessurgency

    toquantifyeconomicvaluesthanprivatesector(Cincaetal.,2003).Theseidiosyncraticorganizational

    contingencies of public sector formulate an unfriendly internal environment for intellectual capital

    cultivation.Undertheseconditions,interorganizationalperceptionstowardsintellectualcapitalhave

    significant implicationsontheorganizationalbehaviour,attitudesandabilitiesoftheseorganizations

    to manage the available intellectual capital for creating organizational value. Yet, the relationship

    between perceived intellectual capital and its perceived effects on performance has not been

    consistentlyinvestigatedinliterature.Nevertheless,weexpectthatthefactorssynthesizingperceived

    intellectual capital are positively associated with perceived performance. This is because this

    relationshipisexistentonthecollectivecognitivemapsofthemembersofthelocalgovernmentsand

    thathigher(lower) levelsofperceived intellectualcapitalareassociatedwithhigher(lower)levelsof

    perceived performance. The level of perceived intellectual capital can be only captured through

    analysing the views of the actors in local governments.Thereforeas this typeof information isnot

    reported in financial statements, it should be collected through survey instruments. Based on the

    aforementionedanalysis,thefollowinghypothesisisstated:

    H12:Inthecaseoflocalgovernments,PerceivedIntellectualCapitalanditsFactorsare

    positivelycorrelated

    with

    Perceived

    Performance.

    Perceivedperformance isanalysed intermsofcost,qualityandquantityoftheservicesprovidedby

    localgovernmentstothelocalcommunities.Thus,fromhypothesisH12,thefollowinghypothesesare

    derived:

    H12.1:Inthecaseoflocalgovernments,PerceivedIntellectualCapitalanditsFactorsare

    negativelycorrelatedwithPerceivedCostofServicesProvidedbyLocalGovernments.

    H12.2:Inthecaseoflocalgovernments,PerceivedIntellectualCapitalanditsFactorsare

    positivelycorrelatedwithPerceivedQualityofServicesProvidedbyLocalGovernments.

    H12.3:Inthecaseoflocalgovernments,PerceivedIntellectualCapitalanditsFactorsare

    positively

    correlated

    with

    Perceived

    Quantity

    of

    Services

    Provided

    by

    Local

    Governments.

    Both inferred intellectual capital and perceived intellectual capital are theoretical constructs that

    allowstudyingtherelationshipbetweenintellectualcapitalandperformanceunderthetwodifferent

    epistemologicalviews.Sinceeachoftheabovetheoreticalconstructsexaminesdifferentperspective

    oftheorganizationsreality,amoreholisticapproach isrequired inordertocapturethebreadthof

    theinteractionbetweenintellectualcapitalandperformance.

    Alocalgovernmentmaybeclassifiedinadifferentrankintermsofitsinferredintellectualcapitaland

    itsperceivedintellectualcapital.Forsimplicityreasons,localgovernmentsmaybeclassifiedashighor

    low intensive in terms of either their inferred or perceived intellectual capital. This categorization

    creates a matrix of four quarters in which all local governments can be plotted to. Figure 2 is a

    graphicalpresentationoftheaboveclassification.

    InsertFigure2

    Local governments with high both perceived and inferred intellectual capital are classified as high

    intellectual capital local governments. Local governments with low both perceived and inferred

    intellectual capital are classified as low intellectual capital local governments. These two groups

    represent local governments which are classified uniformly under both IC1ostensive and IC2

    performativeviews.Thereforethereisunanimityin localgovernmentcategorizationirrespectivelyof

    theICtheoreticalperspective.Forallotherlocalgovernmentsthetwotheoreticalviews(IC1ostensive

    and IC2performative)result intodifferentcategorizations.Thereforetheirclassification isrelianton

    the theoretical view employed; they can be classified either as low (high) perceived or high (low)

    inferred

    intellectual

    capital

    intensive.

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    Usingtheaforementionedclassificationschemaandthe impliedpositiveeffectof intellectualcapital

    onperformancethefollowinghypothesisisderived:

    H13:LocalgovernmentswithhighIntellectualCapitalshowbetterperformanceboth

    financialandperceivedthanlocalgovernmentswithlowintellectualcapital.

    4.Methodology

    Inthepresentstudy,therelationbetweenintellectualcapitalandperformanceisexaminedunderthe

    two different epistemological views of the intellectual capital research, the IC1 ostensive and IC2

    performative.Inordertoaccommodatethedifferencesinintellectualcapitalquantificationaswellas

    themethodologicalrequirementsconsideringthenatureofdata,variablesemployed in theanalysis

    and data processing dictated by the two intellectual capital viewpoints, we adopt a twofold

    methodologicalapproach.

    UnderIC1ostensiveresearchstream,wecalculateinferredintellectualcapitalbyusingdatafoundin

    theannualfinancialstatementsoflocalgovernments.Moreover,financialstatementsdataisused in

    order to calculate financial ratios commonly used to evaluate the financial performance of an

    organization.

    Under IC2informative research stream, we calculate perceived intellectual capital by using data

    gathered through questionnaires in a field survey. The questionnaire serves a dual scope; firstly to

    write down the perceptions of local governments in terms of several propositions related to

    intellectualcapitalwithinthe localgovernmentandsecondlytogatherinformation inrelationtothe

    perceivedlevelofperformance.

    4.1.DefinitionofVariablesfortheInferredIntellectualCapital

    Thissectionanalysestheproxymeasuresusedtovisualizethecomponentsoftheinferredintellectual

    capital using the financial statements data of local governments. These proxy measures rely only

    merely on measures that have been previously proposed within the strand of existing intellectual

    capital

    reporting

    literature.

    The

    reason

    is

    that

    the

    measures

    encountered

    in

    literature

    have

    been

    analysed through the lens of the private sector and, they therefore correspond to measurement

    techniqueswith astrong marketorientation,which doesnot fit to thepublicsector (Guthrieetal.,

    2009). Inferred intellectual capital is analysed into inferred human capital, inferred organizational

    capitalandinferredsocialcapital.

    4.1.1.InferredHumanCapital

    Humancapitalincludesknowledge,skills,innovativenessandtheabilitytoresponseeffectivelyattask

    performance(EdvinssonandMalone,1997,MartindeCastroetal.,2011).Undertheassumptionofa

    homogeneousproductionfunction,differencesonthelevelofhumancapitalareassociatedpositively

    with productivity differentials (Aliaga, 2001, Becker, 1964) and, for a given level of resource

    consumption,withabnormalproduction.

    Weconsidertwomaininputsintheproductionfunctionoflocalgovernments:capitalandlabour.Asa

    proxyofcapitaltheamountoftotalassetsisused,whereasasaproxyoflabourweusethenumberof

    employees. A local government with higher levels of human capital is expected to record higher

    averageperemployeeproductivity.

    AssumingthatthereisahomogenousCobbDouglasproductionfunctionacrossthelocalgovernments

    oftheresearchsite,theinferredhumancapitalofjlocalgovernmentIN_HCjismeasuredintermsof

    theabnormaloutputQjoverthenumberofemployeesN

    j.

    jj

    j

    QIN_HC =

    N (1)

    Abnormaloutput

    Qj

    is

    the

    estimation

    error

    of

    the

    following

    OLS

    model:

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    8

    j j j j j j j

    0 1 2log(S )=log(a )+a log(TA )+a log(N )+e (2)

    where:

    Sjdenotesrevenuesfromownoperationsofthejlocalgovernment,

    TAjcorrespondstothetotalassetsofthejlocalgovernment,and

    Njisthenumberofemployeesinthejlocalgovernment.

    We use revenues from own operations as a surrogate for output. Local governments are service

    oriented organizations and thus the level of revenues represents the output for a given fiscal year.

    Revenues correspond to the sales of goods and services as well as the taxes imposed by local

    governments to citizens and businesses. We exclude government subsidies from revenues, as

    subsidiesaregrantedtolocalgovernmentsonthebasisofasetofpoliticalandsocialcriteriathatare

    notdirectlycontrolledoraffectedbytheactionsoflocalgovernments(e.g.population,location).

    4.1.2.InferredOrganizationalCapital

    AccordingtoSubramaniamandYoundt(2005)organizationalcapitalisdefinedastheinstitutionalized

    knowledgeand

    codified

    experience

    residing

    within

    and

    utilized

    through

    databases,

    patents,

    manuals,

    systems, and processes. Prior literature uses selling, general and administrative (SGA hereafter)

    expensesasanaccountingfundamentalassociatedwithorganizationalcapital(see,e.g.Edvinssonand

    Malone, 1997,RoosandRoos,1997,Levetal.,2009). Theunderlining rationale is that thenormal

    operation of each organization requires a minimum level of SGA expenses and the remaining part

    representsinvestmentsondevelopingorganizationalcapital.Thisrationalhasbeenheavilyusedinthe

    ICprivatesectorliterature.

    Following,thesameparadigm,the inferredorganizationalcapitalIN_OCjofthej localgovernment is

    measuredintermsofabnormalSGAexpensesscaledbythenumberofemployees:

    jj

    j

    AB_SGAIN_OC =

    N

    (3)

    where:

    AB_SGAjdenotestheabnormalSGAexpensesofthejlocalgovernment,and

    Njisthenumberofemployeesofthejlocalgovernment.

    Usingthenumberofemployeesasameasurementvariable forthe levelofSGAexpenses ina local

    government,thelevelofabnormalSGAexpensesAB_SGAjofthejlocalgovernmentisdefinedasthe

    estimationerrorofthefollowingOLSmodel:

    j jj

    0 1 AB_SGAj j

    SGA N=b +b +e

    TA TA (4)

    BothdependentandindependentvariableoftheOLSmodelofEq.(4)arescaledwiththetotalassets

    TAj

    of

    thej

    local

    government.

    The

    reason

    is

    to

    take

    into

    consideration

    the

    size

    effect

    of

    the

    local

    governmentonthelevelofSGAexpenses.

    4.1.3.InferredSocialCapital

    Thethirdcomponentof intellectualcapitalreferstotheabilityofanorganizationtoabsorb,exploit

    andexplorenewknowledgefromitsenvironmentsoastoobtainandsustaincompetitiveadvantage

    positions (MartindeCastro et al., 2011). Within the context of private sector, it is referred as

    relational capital. However, the term social capital seems more appropriate to describe the third

    component of the intellectual capital of the local governments due to their social oriented

    physiognomy.

    Highlevelsofsocialcapitalindicatethatthelocalgovernmenthasincreasedabilitytoobtaineconomic

    benefits on behalf of its citizens. Local governments provide monopolistic services to the local

    communitiesandtheirrelationshipwiththeircitizenscanbeviewedwithinthecontextofanagency

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    9

    model.Citizensrepresenttheprincipalsitewhichsupplytheirlocalgovernmentwithcapitalthrough

    taxation, bear risk in case that local government fails to serve local community and construct

    incentives ranging from social acceptance of specific policies to the approval of economic benefits

    obtained by public servants. Local government represents the agent site that makes decisions on

    behalf of the citizen relying on superior knowledge about the social environment. This superior

    knowledgeisthesocialcapital.

    Withinthecontextoftheaboveagencymodel,localgovernmentsareexpectedtomaximizecitizens

    economic welfare. The internal economic value of the services provided, the economic sacrifices

    required to produce and to deliver services,equals the costof goods sold. The higher the levelsof

    socialcapitalindicatesthatlocalgovernmenthasincreasedabilitytoabsorb,exploitandexplorenew

    knowledgefromitsenvironmentinordertoprovidebetterand,thus,morevaluableservices.

    Abnormal levelsofcostofgoodssoldforagivenquantityofservices indicatethat localgovernment

    eitherprovidestothecitizenryservicesofhigherinternaleconomicvalueoroperatesinefficiently.A

    localgovernmentisefficientiftheabnormalrevenuesexceedtheabnormalcostofgoodssold.Inthat

    casesocialcapitalenables localgovernmentto improve itsefficiencyandtoreservehigher levelsof

    economicwealthforitscitizens.

    Based on the aforementioned analysis, the inferred social capital ofj local government IN_SOCj is

    measured as the difference between abnormal own revenues from operations AB_Sj and abnormal

    costofgoodssoldAB_COGSjscaledwiththenumberofemployeesofthejlocalgovernmentN

    j:

    j jj

    j

    AB_S AB_COGSIN_SOC =

    N (5)

    AbnormalcostofgoodssoldAB_COGSjistheestimationerrorofthefollowingOLSmodel:

    j jJ

    0 1 AB_COGSj j

    COGS P=c +c +e

    TA TA (6)

    where

    COGSj

    denotes

    the

    cost

    of

    goods

    sold

    of

    the

    jlocal

    government,

    and

    Pjisthepopulationofjlocalgovernment.

    Bothdependentand independentvariablesoftheOLSmodeloftheEq.(5)arescaledwiththetotal

    assetsTAjofthejlocalgovernment.

    AbnormalownrevenuesfromoperationsAB_SjistheestimationerrorofthefollowingOLSmodel:

    j jj

    0 1 AB_Sj j

    S P=d +d +e

    TA TA (7)

    whereSjdenotesrevenuesfromownoperationsofthejlocalgovernment,and

    Pjisthepopulationofjlocalgovernment.

    BothdependentandindependentvariablesofEq.(5)arescaledwiththetotalassetsTAjofthejlocal

    government.

    Eq.(5)can,alternatively,restated istermsoftheestimationserrorsoftheestimatedOLSmodelsof

    Eqs.(6)and(7):

    j jAB_S AB_CGSj

    j

    e eIN_SOC =

    N (8)

    4.1.5.DefinitionsofVariablesofFinancialPerformance

    Various

    financial

    ratios

    can

    be

    employed

    in

    order

    to

    measure

    the

    financial

    performance

    of

    a

    local

    government.Theratiosusedinthisstudycorrespondtoratiosusedintraditionalfinancialanalysisto

    evaluate(i)profitability,(ii)liquidityand(iii)debtmanagement.

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    Thefinancialratioselectedtoevaluatetheprofitabilityoflocalgovernmentsisthefollowing:

    i. ReturnonAssets:theratioofnetincomeovertotalassetsforagivenfiscalyear.Thefinancialratiosthatareusedtoevaluatetheliquidityofalocalgovernmentarethefollowing:

    i. Liquidity:theratioofcurrentassetsovercurrentliabilities.ii. TotalAssetsTurnover (Total SalesRevenue): the ratioof total revenues (own revenues plus

    subsidies)overtotalassets.

    iii. Plant,Property,EquipmentTurnover (Total Sales Revenue): the ratio of total revenues overPlant,PropertyandEquipment.

    iv. Total Assets Turnover (Own Revenues from Operations): the ratio of own revenues fromoperationsovertotalassets.

    v. Plant, Property, Equipment Turnover (Own Revenues from Operations): the ratio of ownrevenuesfromoperationsoverPlant,PropertyandEquipment.

    Finally,thefinancialratiosthatarecalculatedinordertoevaluatethequalityofdebtmanagementof

    alocal

    government

    are

    the

    following:

    i. LiabilitiesoverTotalAssets:theratioofliabilitiesovertotalassets.ii. DebtoverTotalAssets:theratiooflongtermdebtovertotalassets.

    4.2.DefinitionofFactorsIdentifiedforthePerceivedIntellectualCapital

    This section analyses the factors that constitute the perceived intellectual capital. These factors

    emergedfromananalysisoftheanswersobtainedthroughthequestionnairethatwasdevelopedfor

    thepurpose of thestudy.Thesurvey instrument, requested the respondents toexpressonaLikert

    scaletheextentoftheiragreement(where5correspondedtototallyagree)ordisagreement(where1

    corresponded to totallydisagree)onsixtyone (61)statements.Atranslatedcopyofthestatements

    includedin

    the

    questionnaire

    is

    found

    in

    the

    appendix.

    The

    selection

    of

    the

    statements

    was

    based

    on

    previous literature properly adjusted for the setting of local governments and Greek reality. The

    questionnaire has been pilot tested in one local government where we sought at spotting unclear

    questions or sources of possible misunderstanding. The statements corresponding to different

    intellectual capital subdimensions were scatted in the questionnaire. Moreover there were six (6)

    reverse coded statements. The questionnaire was addressed to 340 randomly selected local

    governments out of the 577 that are obliged to issue accrual accounting financial statements. The

    questionnairewasaddressedtotheMayorofthe localgovernment.Atotalof92 localgovernments

    participated in the survey by returning completed questionnaires. Thus, the response rate of our

    researchstudywas27%.Thefieldstudytookplaceduringthesummerof2010.Anonresponsebias

    analysisdidnotrevealanystatisticallysignificantdifferencesbetweenearlyandlaterespondents.

    Thequestionnaires

    were

    mainly

    answered

    by

    either

    the

    Mayor

    or

    the

    Vice

    Mayor

    (25%)

    or

    the

    Officer

    ofAdministrativeServices(64%).Theexperienceoftherespondentswasindicativeoftheirknowledge

    regarding localgovernmentoperations.The33%ofrespondentshadworkingexperience inthe local

    governmentfor610yearswhile51%hadmorethan11yearsofexperience.

    The answers that we received were grouped together so as to create factors that are coded as (i)

    perceived human capital (factors HC_1 to HC_6), (ii) perceived structural capital (factors SC_1 to

    SC_4),(iii)perceivedsocialcapital(factorsSOC_1toSOC_4)and(iv)perceivedperformance (factors

    Qual., Quant. and Cost). A Cronbachs Alpha test was used to assess the validity of the identified

    factors. Table 2 presents a brief summary of the factors, their definition and the Cronbachs Alpha

    valueforeachfactor.

    Insert

    Table

    2

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    The factors presented in Table 2 are consistent with the intellectual capital theory. According to

    MartindeCastro et al., (2011) human capital is an amalgamation of knowledge, abilities (including

    learningandcollaboration)andbehaviours(includingmotivation,commitmentandthussatisfaction).

    The following factors forperceivedhumancapitalaredefined:Knowledge&Skills (HC_1),Learning,

    Adaptation&HumanResourceDevelopment(HC_2),SynergywithEnvironment(HC_3),Commitment

    (HC_4), Motivation (HC_5) and Satisfaction (HC_6). As far as organizational capital is concerned,

    SubramaniamandYoudnt(2005)defineitastheinstitutionalizedknowledgeandcodifiedexperience

    residingwithinandutilizedthroughdatabases,patents,manuals,systems,andprocesses.Thefactors

    recognized in the case of organizational capital are Knowledge Management (OC_1), Innovation

    (OC_2), Internal Integration (OC_3) and egovernance (OC_4). Knowledge Management and

    Innovationrefertothecodifiedknowledge,theabilitytomanagethisknowledgeandthesupporting

    IT infrastructure. In order local governments to efficiently manage organizational capital they must

    supportitsdisseminationwithinorganizationalboundaries.Anecessaryconditionforthistohappenis

    theexistenceof Internal Integration (OC_3).Finally,special reference is made to theabilityof local

    governments to employ IT infrastructure for supporting theirs operations, that is, egovernance

    (OC_4).Definitionsforsocialcapitalapproximatethoseforrelationalcapital.Changetal.(2008)argue

    that relational capital represents the knowledge embedded in the relationships with the outside

    environment.ThefirstfactorofsocialcapitalisdefinedasKnowledgeofSocialEnvironment(SOC_1).However, theabilityofa localgovernmenttoutilizetheavailableKnowledgeofSocialEnvironment

    depends on the level of its integration with its social environment. Three different aspects of

    integration have been recognized: social (External Integration SOC_2, Communication SOC_5 and

    Social Culture SOC_6),economic (Economic RelationsSOC_3)and governmental (Collaborationwith

    CentralGovernmentSOC_4).

    Additional empirical evidence provides support for the theoretical validity of the factors described

    above. Recognizing the distinct factors within each dimension of perceived intellectual capital is a

    processthatenablesitsstudyinasystematicway.Moreover,thefactorsfoundineachdimensionof

    perceived intellectualcapitalare expected tobe positivelycorrelated witheach othersince theyall

    constitutefundamental

    elements

    of

    abroader

    entity

    (i.e.

    either

    perceived

    human

    capital

    or

    perceived

    organizationalcapitalorperceivedsocialcapital)andoperatewiththesameteleologicalway.Tables

    3, 4 and 5 provide empirical evidence that the factors of perceived human capital, perceived

    organizationalcapitalandperceivedsocialcapitalarepositivelycorrelatedat1%statisticalsignificance

    level.Further,eachofthedimensionsoftheperceivedintellectualcapitalisexpectedtobepositively

    correlated with the other two. This is empirically verified by the correlation statistics that are

    presentedinTable6.

    InsertTables3,4,5and6

    4.3.Definition

    of

    Factors

    of

    Perceived

    Performance

    Except for the factors identified in relationtoperceived intellectualcapital, factorsproxying for the

    perceived organizational performance of the local governments were calculated as well. Local

    governments, primarily, provide services to the citizenry. Accessing the performance of a service

    orientedorganizationisamultidimensionalanddifficulttask.Forsimplicityreasons,theemphasiswas

    givenonthreebasicdimensions,thoseof,quantity,qualityandcost.Thefactorsthatconstitutethe

    perceivedperformancearetherefore:theperceivedQualityofservices(Qual.),theperceivedQuantity

    of service provision (Quant.) and the perceived Cost of services rendered (Cost). These factors

    correspondtotheselfassessmentoflocalgovernmentsinrespecttothelevelofquantity,qualityand

    the costof the servicesprovided. The valuesof these perceived measures were retrieved from the

    questionnairewherelocalgovernmentsmadetheir(self)assessments.

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    5.Results

    This section presents the empirical results of the study. Initially, the relationship between inferred

    intellectualcapitalandinferredfinancialperformanceasitisassessedintermsofefficiency,liquidity

    and debt management is discussed. Secondly, the relationship of perceived intellectual capital with

    perceivedperformanceisexamined.Asafinalstep,theempiricalrelationbetweenintellectualcapital

    andperformance

    is

    examined

    irrespectively

    of

    the

    theoretical

    perspective

    on

    intellectual

    capital

    (i.e.

    IC1ostensivevieworIC2performativeview).

    5.1.InferredIntellectualCapitalandFinancialPerformance

    The data used to calculate the inferred intellectual capital is based on public available information

    included in the financialstatementsofGreek localgovernments. Localgovernments inGreece that

    satisfyspecificsizeorrevenuecriteriaareobligedtopublishyearlyauditedfinancialstatementsthat

    mainly includeaBalanceSheetandaProfitandLossAccount. Ourdata isobtainedbythefinancial

    statementspublishedattheendof2008andcorrespondstothefiscalyearof2007.Dataaboutthe

    employees in localgovernmentscorrespondsto thesameperiodandwasretrievedbytheNational

    StatisticalAuthority.

    Population

    information

    refers

    to

    the

    2001

    census.

    Table7presentstheresultsoftheestimatedOLSmodelsofEq.(2),Eq.(4),Eq.(6)andEq.(7).Further,

    Table8 presentsbasicdescriptivesofthe ratiosused toevaluate the financialperformance of local

    governmentsandsummarystatisticsofthebasicvariablesretrievedbytheOLSmodels.

    Inferred human capital and inferred social capital seem to be positively correlated with Return on

    Assets at 1% and 5% significance level respectively. All three components of inferred intellectual

    capital are positively correlated with turnover ratios at 1% level of significance but they are no

    correlatedwithliquidity.Furthermore,theyarepositivelycorrelatedwithLiabilitiesoverTotalAssets

    andDebtoverTotalAssetsratiosat1%significancelevel.

    Summarizing

    the

    aforementioned

    analysis,

    inferred

    intellectual

    capital

    seems

    to

    be

    positively

    correlatedwithbothefficiencyandliquiditybutpresentsnocorrelationwithdebtmanagement.This

    indicates that the presence of inferred intellectual capital improves efficiency and turnover ratios

    withoutunderminingthefinancialstructureoflocalgovernments.

    InsertTables7,8and 9

    5.2.PerceivedIntellectualCapitalandPerceivedPerformance

    Thecorrelationbetween the factorsofeachdimensionoftheperceived intellectualcapitaland the

    perceivedorganizational ispresented inTable10. Itseems that theeffectsofperceived intellectual

    capitalonperceivedperformancearerealisedthroughtheprovisionofsuperiorqualityservicesandto

    a lesser extent though cost savings. Further, the presence of a high level of perceived intellectual

    capitalseems

    not

    to

    be

    associated

    with

    the

    level

    of

    the

    quantity

    of

    service

    provision.

    Withinthecontextofperceivedhumancapital,allfactorsarepositivelycorrelatedwiththeperceived

    qualityoftheservicesrenderedat1%levelofstatisticalsignificancewiththeexceptionofthefactor

    entitled Commitment (HC_4) which is,also, positively correlatedalbeit at5%significance level.The

    factors Synergy with Environment (HC_3) and Satisfaction (HC_6) present the highest correlation

    values with perceived quality of service rendering relatively to the other factors of the perceived

    human capital. A possible reason for that is that the level of synergy with environment and the

    satisfaction of human assets are both critical factors that mediate so as the core dimensions of

    perceivedhumancapital(i.e.Knowledge&SkillsandLearning,Adaptation&HumanResource)tobe

    transformedintoimprovedperformance.Asfarastherelationshipbetweenperceivedhumancapital

    and

    perceived

    cost

    is

    concerned,

    only

    the

    factors

    Learning,

    Adaptation

    &

    Human

    Resource

    Development (HC_2), Synergy with Environment (HC_3) and, Satisfaction (HC_6) exhibit negative

    correlationswithperceivedcostofserviceprovision.NegativerelationsmeanthanhumanICisrelated

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    with cost savings. Finally, there is no significant correlation between the factors corresponding to

    perceivedhumancapitalandthoserelatedtoperceivedquantityofserviceprovision.

    A similar pattern in terms of the existing correlations is observed in the case of the two other

    dimensionsofperceivedintellectualcapitalaswell.Bothperceivedorganizationalandperceivedsocial

    capital have no correlation with perceived quantity of service provision. However, the exhibit a

    positive

    correlation

    with

    perceived

    quality

    of

    service

    rendering

    and

    a

    negative

    correlation

    with

    perceivedcostofserviceprovision.

    Morespecifically,inthecaseofperceivedorganizationalcapital,thefactorsKnowledgeManagement

    (OC_1) and Innovation (OC_2) have the strongest positive correlation with perceived quality at 1%

    significance level. Contrary to the relations revealed in relation to the factors corresponding to

    perceivedhumancapital,thefactorscapturingtheessenceofperceivedorganizationalcapitalareall

    negatively correlated with perceived cost. That can be interpreted as a positive contribution of

    intellectual capital on resource consumption and efficiency improvement. Moreover, the factor

    Internal Integration (OC_3) exhibits the strongest negative correlation with that of perceived cost

    amongsttheotherfactorsofperceivedorganizationalcapital.

    Inthe

    case

    of

    perceived

    social

    capital,

    the

    factors

    External

    Integration

    (SOC_2)

    and

    Collaboration

    with

    CentralGovernment (SOC_4) have thestrongestpositive correlation with perceived quality and the

    strongestnegativecorrelationwithperceivedcostat1%significancelevelamongstallotherfactorsof

    perceivedsocial capital. However, the factorsKnowledgeofSocialEnvironment (SOC_1),Economic

    Relations(SOC_3)andSocialCulture(SOC_6)oftheperceivedsocialcapitalarenegativelycorrelated

    withperceivedquantity.

    The aforementioned analysis implies that in the case of local governments perceived intellectual

    capital is positively correlated with perceived performance. More specifically, the perceived

    intellectualcapitalispositivelycorrelatedwithperceivedqualityofservicerenderingacrossallfactors

    thatcorrespondtothethreesubdomainsof intellectualcapital.Nevertheless,perceived intellectual

    capital is in some cases negatively correlated with perceived cost. Moreover, perceived intellectual

    capital

    is

    only

    sparsely

    correlated

    with

    perceived

    quantity.

    The

    lack

    of

    correlation

    of

    perceived

    intellectual capital with perceived quantity of service rendering does not undermine the overall

    conclusion that the perceived intellectual capital is correlated with performance. A plausible

    explanationforthatisthatthequantityofservicesrequiredbycitizensisstableand,thus,theutility

    thatcitizensobtainbythoseservicesismainlyaffectedbytheirquality.Thus,localgovernmentsmay

    employtheavailableintellectualcapitalsoastoofferservicesofhigherqualitytotheircitizens.

    InsertTable10

    5.3.IntellectualCapitalandFinancialPerformance

    This section attempts to examine the relationship between intellectual capital and financial

    performance irrespectivelyof theepistemologicalviewused instudying intellectualcapital (i.e. IC1

    ostensiveandIC2performative).Byanalysingtheresultsofeachepistemologicalviewwithouttakinginto consideration the results of the other limits the generalization of the research findings. It is

    therefore required to examine the empirical findings presented on previous paragraphs under an

    integratedperspective.Forthisreason,foreachcomponentofintellectualcapital(i.e.humancapital,

    organizational capital, social capital), we categorise local governments as high or low intensive for

    eachdimension(i.e.inferredversusperceived).Themedianvaluesofinferredhumancapital,inferred

    organizational capital and inferred social capital are used as corresponding critical values for

    classifying local governments as high (above or equal to median value) versus low (below median

    value) intensiveforeachICsubcategory.Inthecaseofthefactorsofperceived intellectualcapitala

    twostageprocedureisfollowedinordertoseparatelocalgovernmentsashighversuslow.Initial,for

    each dimension of perceived intellectual capital (i.e. perceived human capital, perceived

    organizational

    capital

    and

    perceived

    social

    capital)

    the

    numerical

    values

    of

    the

    related

    factors

    are

    added to formulate a total score. Then, the median values of the total score of perceived human

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    14

    capital, perceived organizational capital and perceived social capital are used as critical values for

    classifying local governments as high (above or equal to median value) versus low (below median

    value)intensive.

    Toexaminetherelationshipofintellectualcapitalwithbothfinancialandperceivedperformance,we

    comparethemeanvaluesoffinancialratiosandfactorsofperceivedperformanceofthehighICgroup

    andthe

    low

    IC

    group.

    The

    test

    is

    performed

    by

    using

    the

    2independent

    samples

    ttest.

    Therefore,

    we

    definethreepairsoftwoindependentsamples(highICLGsandlowICLGs)foreachICsubcategoryi.e.

    humancapital,organizationalcapitalandsocialcapital.

    Highhumancapitallocalgovernmentsseemtoperformbetterthanlowhumancapitalonesasfaras

    turnoverratiosareconcerned at1%significance level.Further,highhumancapital isequatedwith

    improvedperceivedqualityoftheservicesprovidedby localgovernmentsat1% levelofsignificance

    (Table11).

    The relationship of organizational capital with financial performance and perceived organizational

    performance isexamined inTable12.Organizationalcapitalseemstoimprovetotalassetsturnovers

    at1%levelofsignificanceandtheperceivedqualityofservicesrenderedat4%levelofsignificance.

    Finally,social

    capital

    seems

    to

    have

    effects

    on

    efficiency,

    turnover

    ratios

    and

    perceived

    organizational

    performance.Morespecifically, localgovernmentswithhighsocialcapitalreporthighermeanvalues

    for Return on Assets and Plant, Property and Equipment turnover ratios at a, at least, 3% level of

    significance. As far as perceived organizational performance is concerned, social capital is equated

    withhigherlevelsofperceivedqualitybutwithlowerlevelsofperceivedquantityandperceivedcost

    oftheprovidedservices(Table13).

    InsertTables11,12and13

    6.Conclusions

    The research motivation of this study was to analyse the relationship of intellectual capital with

    organizationalperformance

    within

    the

    context

    of

    local

    governments.

    We have analysed intellectual capital from two epistemological stances recognised by Mouritsen

    (2006): IC1ostensive view and IC2performative view. We proxied for inferred intellectual capital

    which is consistent with IC1ostensive view by using information retrieved by accrual accounting

    financialstatements.Weassessedperceivedintellectualcapitaloflocalgovernmentsthatiscompliant

    with IC2 perspective view by using survey data collected through questionnaires. We built a

    classificationschemethatallocateslocalgovernmentstoamatrixaccordingtotheirscoresintermsof

    the two intellectual capital views. Within this matrix local governments that are considered

    intellectualcapital intensiveunderbothviewsaredistinguished fromthosethatare less intellectual

    capitalintensive.

    Empiricalevidence

    indicates

    that

    intellectual

    capital

    is

    equated

    with

    improved

    financial

    and

    perceived

    performance.Thishasbeenconfirmedirrespectivelyofthetheoreticalviewadoptedforthestudyof

    intellectualcapital.Morespecifically,intellectualcapitalseemstoimprovetheefficiencyandturnover

    ratioswithoutcreatingseriousdebtmanagementissues.Further,localgovernmentofficerspositively

    associate perceived intellectual capital with perceived quality and negatively with perceived cost of

    theservicesrendered.

    Ourstudy thereforeverifiesthatthepositiverelationbetween ICand financialperformancehold in

    thepublicsectoraswell.Apart fromthat,ourfindingshavesignificantpractical implications forthe

    public sector especially at this period in time where there is a need for all efforts to be motivated

    towardsperformanceimprovementand3Es(efficiency,effectivenessandeconomy)attainment.

    However,

    our

    results

    are

    subject

    to

    the

    following

    limitations.

    Firstly,

    our

    analysis

    is

    based

    on

    a

    sample

    ofGreekmunicipalities.Thereforethereisalwaysthequestionwhethertheresultscanbegeneralized

    totheentirepopulation.Secondly,wehaveusedsomeproxiesinordertooperationalizeinferredIC.

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    There may be other proxies that could better encapsulate inferred IC through the information

    presented in financial statements. Finally, the statements used in the questionnaire are considered

    suitable for addressing the scope of our study. Nevertheless, the reliability of answers gathered is

    subjecttothelimitationsembeddedinanyfieldstudy.

    The above research findings might be the starting point for various other research initiatives. A

    replication

    of

    this

    study

    to

    local

    governments

    is

    other

    European

    countries

    would

    improve

    our

    understandingon theway IC is translated into financialperformance.Moreover, furtherresearch is

    required to recognize and analyze the organizational mechanisms thatenable localgovernments to

    realizeeconomicbenefits from intellectualcapital.Thisknowledgewill improvethemanagementof

    intellectual capital and will contribute towards the implementation of New Public Management in

    localgovernments. Another importantresfearch issue istoanalyze inamoreexplicitwayhow local

    governmentsperceivetherelationshipofintellectualcapitalwithperformance.Thiswouldenablethe

    recognition of behavioral issues that are responsible for the lack of motivation on behalf of public

    sectororganizationstoexploittheiravailableintellectualcapitalforimprovingtheirperformance.

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    Appendix:Questionnaire

    Questionnaireconsistsof61statements.Theresponsescaleforeachstatementwasfrom(1)totallydisagreeto

    (5)totallyagree.ThequestionnairesindicatedwithRwherereversecoded.

    Statements:

    1. Localgovernmentpersonnelhavesufficientcapabilitiestosuccessfullyperformtheirduties.2. Localgovernmentpersonnelarewillingtoperformtheirduties.3. Citizenryisasourceofknowledgeandskillsforlocalgovernment.4. Localgovernmentpersonnelaresufficientlyexperiencedfortheexecutionoftheirduties.5. Localgovernmentpersonnelaresatisfiedwiththeworkingenvironment.6. LocalGovernmentmanagementmindsfortheintroductionofinnovativemanagementstyles.7. Thereisamediumterm(25years)trainingprogrammeforlocalgovernmentpersonnel.8. Localgovernmentpersonnelrelyontheirpeerswhentheyneedhelp.9. Localgovernmentcaresforthetrainingofthenewemployees.10. Thelevelofcooperationamongthelocalgovernmentemployeesishigh.11. Citizenryandlocalorganizations(e.g.athleticorganizations, socialassociations,localbusinesses,citizen

    associations,

    etc.)

    cooperate

    for

    the

    implementation

    of

    local

    government

    decisions.

    12. Localgovernmentutilizestheexperienceofmunicipalemployeeswithseveralyearsinservice.13. Localgovernmentemployeesdirectlyabidebylocalgovernmentdecisions.14. Localgovernmentofferscitizenryandlocalbusinessesdirectinformationandsupportfortheactivities

    theywanttodevelop.

    15. LocalGovernmentgetsthenecessaryinformationandknowhowforthesupportofitsoperationsbytheMinistryofInterior.

    16. Thequalityofserviceswouldbeimprovediftheywereassignedtoaprivatecompany(R).17. SuppliersconstituteasourceofknowhowfortheLocalGovernment.18. Someemployees,inordertohidetheirdeficientproductivity,negativelyaffecttheperformanceof

    theirpeers(R).

    19. LocalGovernmentrewardsemployeesperformingactionsthatimproveitsoperations.20. LocalGovernmentpersonnelwanttoactivelyparticipateindecisionmaking.21. Localgovernmentfinancialhealthisdirectlyrelatedwiththefinancialhealthofthebusinessesinthe

    area.

    22. ThelevelofcooperationbetweentheLocalgovernmentpersonnelandthelocalorganizationsishigh.23. Localgovernmentpersonnelarewillingtoundertakemoreresponsibilities.24. Localgovernmentoffersservicesthroughtheinternet.25. Thefinancialsurvivalofaconsiderablenumberoflocalbusinessesreliesonlocalgovernment

    expenditures.

    26. Localgovernmentpersonnelseekmoralrecognitionfromtheirsocialsurroundings.27. ThequantityofservicesofferedbytheLocalgovernmentcouldbeconsiderablyincreased(R).28. Theeducationallevellocalgovernmentpersonnelishighertowhatneededfortasksexecution.29. Citizenryconsiderslocaltaxburdentobeexcessive(R).30. LocalGovernmentusesbothlocalandnationalMediaasameansofcommunicationwiththecitizens.31. LocalGovernmentpersonnelfeelresponsibleforthesuccessoftheLocalGovernmentprogrammes.32. LocalGovernmentpersonnelaresatisfiedwiththedutiesassignedtothem.33. ThecooperationofLocalGovernmentwiththeMinistryofInteriorforlocalgovernmentpolicyissuesis

    satisfactory.

    34. Someemployeesexpresstheirdissatisfactiononasystematicbasis(R).35. Citizenryparticipatesactivelyindecisionmaking.36. LocalGovernmentpersonnelhavetheabilitytoadjusttothechangesthattakeplaceintheirworking

    environment.

    37. LocalGovernmentutilizestheexperienceandthecapabilitiesoflocalorganizations(e.g.athleticorganizations, socialassociations,localbusinesses,citizenassociations,etc.)toimproveitsoperations.

    38. LocalGovernmentpersonnelwanttogetspecificandprecisedirectionsforperformingtheirtasks.39. LocalauthoritiesareasourceofknowledgeforLocalGovernment.40. Localgovernmentencouragesitspersonneltocooperateandshareknowledgeandexperiences.41. LocalGovernmentcaresaboutthepromotionofculturewithinthelocalsociety.

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    42. Thefinancialhealthofthemajorityofcitizenryisinfluencedbylocalgovernmentexpenditure.43. LocalGovernmentiseffectivelysupportedbythecentralgovernmentinordertoconfrontproblems.44. LocalGovernmentisfamiliarwithnewtechnologyandinternetuse.45. Localgovernmentpersonnelandcitizenrycooperatesuccessfully.46. Suppliersareconsistentwiththeircontractualobligations.47. LocalGovernmentcaresforthequickintegrationofimmigrantsinthelocalcommunity.48. LocalGovernmentemployeesareencouragedtotakeinitiatives.49. Thefinancialhealthofthelocalgovernmentisdirectlyrelatedwiththefinancialhealthofthecitizenry.50. Localgovernmenthasinplaceandimplementsashorttermyearlyprogrammeforpersonneltraining

    andeducation.

    51. Culturalandeducationalexpenditurecorrespondstoasignificantpercentageoflocalgovernmentexpenses.

    52. Localgovernmentencouragestheparticipationofemployeesindecisionmaking.53. Thequalityandthequantityofserviceprovisioncouldbesubstantiallyimprovediftightercontrolwas

    inplace(R).

    54. Localgovernmentpersonnelmindtobeinformedaboutchangesinthelegislationandthestatutoryframework.

    55. Localgovernmentemployeesarewillingtoopenlyexpresstheirviews.56. Localgovernmentemployeesaresatisfiedwiththelevelofsafetyintheirworkingenvironment.57. Bothcitizenryandlocalbusinessesareconsistentwiththeirfinancialobligationstowardsthelocal

    government.

    58. Citizenryusestheinternettosubmittheircomplaints.59. Localgovernmentimplementsegovernanceprogrammes.60. Localgovernmentpersonnelcooperateswithcitizenryinharmony.61. LocalgovernmentcooperateswithrelevantMinistriesforfinancialissuesinasatisfactorymanner.

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    InferredIntellectualCapitalDimension

    (IC1ostensive)

    PerceivedIntellectualCapitalDimension

    (IC2performative)

    Perceived

    Intellectual

    Capital

    Perceived

    Human

    Capital

    Perceived

    Structural

    Capital

    Perceived

    Social

    Capital

    Perceived

    Quantity

    Perceived

    Quality

    Perceived

    Cost

    DataSource:

    Questionnaires

    Performance

    Intellectual

    Capital

    H1

    H11.1 - H11.3 H12.1 - H12.3

    H11 H12

    PerformanceHighPerceived

    andInferred

    versuslow

    Intellectual

    Capital

    H13

    Inferred

    Intellectual

    Capital

    Inferred

    Human

    Capital

    Inferred

    Structural

    Capital

    Inferred

    Social

    Capital

    Debt

    Mgnt

    LiquidityEfficiency

    DataSource:

    AnnualFinancialStatements

    Figure1:ResearchHypotheses

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    Low

    Perceived/High

    Inferred

    Intellectual

    Capital

    Low

    Intellectual

    Capital

    High

    Intellectual

    Capital

    Low

    Inferred/High

    Perceived

    Intellectual

    Capital

    Low High

    High

    Low

    PerceivedIntellectualCapital

    Inferred

    Intellectual

    Capital

    Figure2:ClassificationofLocalGovernmentsAccordingtotheDifferentDimensionsofIntellectualCapital

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    Table1

    DefinitionsofIntellectualCapital

    Author(s) Intellectualcapitaldefinitions

    Galbraith(1969) Thedifferenceofanorganizationsmarketvalueandbookvalue.

    Bontis(1996) Thedifferencebetweenthemarketvalueofthecompanyandthereplacementcostofassets.

    Brooking(1996)Thecombinationofmarketassets,humancentredassets,intellectualpropertyassets,and

    infrastructureassets.

    Sveiby(1997) Thegapbetweenmarketandbookvalueofthefirm.

    Edvinssonand

    Malone(1997)

    Thegapbetweenafirmsmarketvalueanditsfinancialcapital(bookvalueofafirmsequity).

    Nahapietand

    Ghoshal(1998)

    Knowledgeandknowingcapabilityofasocialcollectivity.

    Granstrand(1999)

    Essentiallycomprisesallimmaterialresourcesthatcouldbeconsideredasassets,beingpossible

    toacquire,combine,transformandexploit,andtowhichitispossibletoassign,inprinciple,a

    capitalizedvalue.

    Dzinkowski(2000) Intellectualassets,knowledgeassets,totalstockofknowledgebasedequitypossessedbyafirm.

    Teece(2000)Includesknowledge,competenceandintellectualproperty.Alsoincludesotherintangiblessuch

    asbrands,reputations,andcustomerrelationships.

    Bontisetal.(2002) Representsthestockofknowledgethatexistsinanorganizationataparticularpointintime.

    Subramaniamand

    Youndt(2005)

    Thesumofallknowledgefirmsutilizeforcompetitiveadvantage.

    MartnezTorres

    (2006)Includes

    those

    intangible

    assets

    of

    an

    organization

    that

    are

    not

    recorded

    in

    financial

    statements

    butwhichmayconstitute80%ofthemarketvalueoftheorganization.

    Reedetal.(2006)Basiccompetencesofintangiblecharacterthatallowcreatingandmaintainingcompetitive

    advantage.

    CabritaandBontis

    (2008)

    Theknowledgeassetsthatcanbeconvertedintovalue.Isamatterofcreatingandsupporting

    connectivitybetweenofsetsofexpertise,experienceandcompetencesinsideandoutside

    organization.

    Changetal.(2008) Representsknowledgerelatedintangibleassetsembeddedinanorganization.

    HsuandFang(2009)

    Thetotalcapabilities,knowledge,culture,strategy,process,intellectualproperty,andrelational

    networksofacompanythatcreatevalueorcompetitiveadvantagesandhelpacompanyachieve

    itsgoals.

    Source:Martn

    de

    Castro

    et

    al.

    (2011).

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    Table2:

    Factors Identified for Perceived Human Capital, Perceived Structural Capital, Perceived Social Capital and Perceived

    Performance

    PerceivedHumanCapitalFactorCode Name

    Definition CronbachsAlpha

    HC_1 Knowledge&SkillsTheknowledge,experienceandskillsofthehumanresourcesto

    performrequiredtasks(Statements1,4,28and44).

    0.751

    HC_2

    Learning,Adaptation&

    HumanResource

    Development

    Theabilitytorenewavailableknowledge,experienceandskillsof

    thehumanresourcesthroughindividuallearning,informaland

    formalorganizationalprocesses(Statements7,9,36and49).

    0.751

    HC_3 SynergywithEnvironment

    Theabilityofhumanresourcestocollaborateeffectively(i)within

    theorganizationalboundariesofthelocalgovernmentand(ii)with

    agentsoperatingwithinthesocialandeconomicenvironmentof

    thelocalgovernment(Statements8,10,45,52and59).

    0.771

    HC_4 Commitment

    Thecommitmentofhumanresourcestowardstheorganizational

    goalsandvaluesofthelocalgovernment(Statements13,18,23

    and31).

    0.673

    HC_5

    Motivation

    The

    level

    of

    motivation

    of

    human

    resources

    of

    the

    local

    government(Statements2,20,26and38). 0.667

    HC_6 SatisfactionThelevelofsatisfactionofhumanresourcesattaskperformance

    (Statements5,32,34and55).

    0.681

    PerceivedOrganizationalCapitalFactorCode Name Definition CronbachsAlphaOC_1 KnowledgeManagement

    IT investments and the available codified knowledge of the local

    government and the collective ability to manage for serving the

    goalsoftheorganization(Statements12,37and53).

    0.683

    OC_2 Innovation

    Orientationtowardstheadoptionofnewmanagementsystems

    andthedevelopmentofinnovativecultureamongstemployeesof

    thelocalgovernment(Statements6,19and40).

    0.775

    OC_3 InternalIntegration

    Managementpoliciesaimingtoimprovetheintegrationofhuman

    resources with the organization of the local government(Statements22and51).

    0.671

    OC_4 EgovernanceTheintensityofelectronicservicesforsupportingtheoperationof

    localgovernments(Statements57and58).

    0.698

    PerceivedSocialCapitalFactorCode Name Definition CronbachsAlphaSOC_1

    KnowledgeofSocial

    Environment

    Theavailableknowledgesourcesoutsidelocalgovernments

    (Statements3,15,17and39).

    0.698

    SOC_2 ExternalIntegrationThelevelofsocialintegrationofthelocalgovernmentwithlocal

    community(Statements11,33,35and46).0.737

    SOC_3 EconomicRelationsTheintensityofeconomicintegrationofthelocalgovernmentwith

    localeconomy(Statements21,25,42and48).0.737

    SOC_4Collaboration

    with

    Central

    Government

    Thelevel

    of

    collaboration

    of

    the

    local

    government

    with

    central

    government(Statements43,60and61).0.616

    SOC_5 CommunicationThelevelofcommunicationofthelocalgovernmentwithits

    externalenvironment(Statements14,24,30and56).0.634

    SOC_6 SocialCultureEffortsdevotedforthecreationofsocialculture(Statements41,

    47,50and54).0.763

    PerceivedOrganizationalPerformanceFactorCode Name DefinitionQual. Quality

    Thequalityofservicesprovidedbylocalgovernmenttoitssocialenvironment

    (Statement16).

    Quant. QuantityThequantityofservicesprovidedbylocalgovernmenttoitssocialenvironment

    (Statement27).

    Cost Cost Thecostofservicesprovidedbylocalgovernmenttoitssocialenvironment(Statement29).

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    Table3:DescriptivesandCorrelationsbetweentheFactorsofPerceivedHumanCapital

    SectionAreportssimplestatisticsforthefactorsofPerceivedHumanCapital.SectionBreportsthecorrelationstatisticsfor

    thefactorsofPerceivedHumanCapital.

    SectionA:Descriptives

    Mean Std.Deviation N

    Knowledge&

    Skills

    3.6576

    0.62097

    92

    Learning,Adaptation

    &HumanResource

    Development

    3.3859 0.78307 92

    Synergywith

    Environment3.7261 0.58982 92

    Commitment 3.6413 0.45889 92

    Motivation 3.5272 0.60612 92

    Satisfaction 3.4565 0.42518 92

    SectionB:Correlations

    PearsonKnowledge

    &Skills

    Learning,

    Adaptation&

    HumanResource

    Development

    Synergywith

    EnvironmentCommitment Motivation Satisfaction

    Knowledge&Skills 0.485(**) 0.595(**) 0.413(**) 0.463(**) 0.333(**)

    Learning,Adaptation

    &HumanResource

    Development

    0.477(**) 0.603(**) 0.361(**) 0.490(**) 0.455(**)

    Synergywith

    Environment0.620(**) 0.585(**) 0.457(**) 0.607(**) 0.445(**)

    Commitment 0.422(**) 0.314(**) 0.388(**) 0.514(**) 0.275(**)

    Motivation 0.481(**) 0.438(**) 0.575(**) 0.472(**) 0.292(**)

    Satisfaction 0.349(**) 0.445(**) 0.460(**) 0.236(*) 0.296(**)

    Pearsoncorrelationsaboutthediagonal;spearmancorrelationsbelowthediagonal.*and

    **indicatestatisticalsignificanceat5%,and1%levelsrespectively.

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    Table4:DescriptivesandCorrelationsbetweentheFactorsofPerceivedOrganizationalCapital

    SectionAreportssimplestatisticsforthefactorsofPerceivedOrganizationalCapital.SectionBreportsthecorrelation

    statisticsforthefactorsofPerceivedOrganizationalCapital.

    SectionA:Descriptives

    Mean Std.Deviation N

    KnowledgeManagement

    3.6014

    0.75470

    92

    Innovation 3.4094 0.88964 92

    InternalIntegration 3.3859 0.90512 92

    egovernance 3.0761 0.87581 92

    SectionB:Correlations

    PearsonKnowledge

    ManagementInnovation InternalIntegration egovernment

    KnowledgeManagement 0.688(**) 0.598(**) 0.593(**)

    Innovation 0.701(**) 0.768(**) 0.643(**)

    InternalIntegration 0.632(**) 0.775(**) 0.593(**)

    e governance 0.608(**) 0.646(**) 0.617(**)

    Pearsoncorrelationsaboutthediagonal;spearmancorrelationsbelowthediagonal.*and

    **indicate

    statistical

    significance

    at

    5%,

    and

    1%

    levels

    respectively.

    Table5:DescriptivesandCorrelationsbetweentheFactorsofPerceivedSocialCapital

    SectionAreportssimplestatisticsforthefactorsofPerceivedSocialCapital.SectionBreportsthecorrelationstatisticsfor

    thefactorsofPerceivedSocialCapital.

    SectionA:Descriptives

    Mean Std.Deviation N

    KnowledgeofSocial

    Environment3.1304 0.72388 92

    ExternalIntegration 3.4348 0.69225 92

    Economic

    Relations

    2.9783

    0.74739

    92

    Collaborationwith

    CentralGovernment3.4783 0.64867 92

    Communication 3.4438 0.72849 92

    SocialCulture 3.6549 0.74110 92

    SectionB:Correlations

    Pearson

    Knowledgeof

    Social

    Environment

    External

    Integration

    Economic

    Relations

    Collaboration

    withCentral

    Government

    CommunicationSocial

    Culture

    KnowledgeofSocial

    Environment0.631(**) 0.377(**) 0.441(**) 0.615(**) 0.524(**)

    ExternalIntegration 0.602(**) 0.322(**) 0.704(**) 0.497(**) 0.617(**)

    EconomicRelations 0.368(**) 0.324(**) 0.252(*) 0.216(*) 0.322(**)

    Collaborationwith

    CentralGovernment0.433(**) 0.691(**) 0.292(**) 0.388(**) 0.467(**)

    Communication 0.659(**) 0.538(**) 0.255(*) 0.425(**) 0.637(**)

    SocialCulture 0.566(**) 0.630(**) 0.334(**) 0.485(**) 0.641(**)

    Pearsoncorrelationsaboutthediagonal;spearmancorrelationsbelowthediagonal.*and

    **indicatestatisticalsignificanceat5%,and1%levelsrespectively.

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    Table7:OLSEstimationsandResidualsStatistics

    ThistablepresentstheOLSestimationsandtheresidualsstatisticsforthefollowingOLSestimatedmodels: j j j j j j j

    0 1 2log(S )=log(a )+a log(TA )+a log(N )+eModel1,

    j jj

    0 1 AB_SGAj j

    SGA N=b +b +e

    TA TA

    Model2

    j j

    J0 1 AB_COGSj j

    COGS P=c +c +eTA TA

    Model

    3

    and

    j jj

    0 1 AB_Sj j

    S P=d +d +e

    TA TA

    Model4

    SectionA:OLSEstimations

    Model1 Model2 Model3 Model4

    IndependentVariables log(Sj) SGA

    j/TA

    jCOGS

    j/TA

    jS

    j/TA

    j

    Constant 1.193 0.041** 0.031** 0.013

    (1.522) (5.136) (2.411) (0.693)

    log(TAj) 0.59**

    (4.784)

    log(Nj

    )

    0.421**

    (4.145)

    Nj/TA

    j6144.057**

    (3.000)

    Pj/TA

    j280.204** 197.664**

    (14.044) (29.116)

    AdjustedRSquare 0.694 0.096 0.727 0.375

    NumberofObs. 76 76 76 76

    F 86.089** 9.001** 197.237** 46.087**

    SectionB:ResidualsStatistics

    Qj AB_SGA

    j AB_COGS

    jAB_S

    j

    Mean 0.000 0.000 0.000 0.000

    Std.

    Deviation

    0.301

    0.040

    0.058

    0.055

    *and

    **indicatestatisticalsignificanceat2%,and1%levelsrespectively.tvaluesareinbrackets

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    Table8:DescriptivesofVariables

    Minimum Maximum Mean Std.Deviation

    InferredHumanCapital 0.0491 0.2129 0.0031 0.0341

    InferredOrganizationalCapital 0.0040 0.0209 0.0005 0.0032

    InferredSocialCapital 0.0083

    0.0090

    0.0002

    0.0022

    ReturnonAssets 0.0600 0.1200 0.0013 0.0259

    Liquidity 0.2500 23.8400 2.5942 3.6798

    TotalAssetsTurnover(TotalSales

    Revenue)0.0400 0.7300 0.2195 0.1219

    Plant,Property,EquipmentTurnover

    (TotalSalesRevenue)0.0100 0.4400 0.1074 0.0847

    TotalAssetsTurnover(Revenuesfrom

    OwnOperations)0.0445 1.0235 0.2513 0.1632

    Plant,Property,Equipme