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1 Please refer to the full report for the qualitative responses. Page 1 THE LINCY INSTITUTE RESEARCH BRIEF SPECIAL REPORT NO.1 November 2013 Identifying and Describing the Network of Health, Education, and Social Service Non‐Profit Organizations in Southern Nevada BY SHANNON M. MONNAT, PhD ANNA SMEDLEY, MA FATMA NASOZ, PhD Abstract This brief presents the results of a partnering survey designed to measure the partnering power of each health, education, and social service nonprofit in southern Nevada indicated by the connections between these organizations. The survey documents which organizations engaged in the most partnering, increasing the potential that they could better leverage investments and philanthropy through their social network. University of Nevada Las Vegas (UNLV), United Way of Southern Nevada(UWSN), HELP of Southern Nevada, Catholic Charities, Three Square, the Clark County School District, Goodwill of Southern Nevada, and Opportunity Village consistently ranked highly in terms of overall participation and activity, influence, access to information and resources, and ability to mobilize the nonprofit community. There were also a number of smaller organizations that we found to be important brokers and connectors, and these organizations can be used as models for improving the capacity of lowerbudget and lesserresourced organizations in the community. 1 Introduction and Summary of Findings Many of the economic, social, and demographic issues facing southern Nevada are dynamic and interrelated, requiring a coordinated approach on the part of southern Nevada’s non‐profit community. The coordination of services, skills, and talents enables community needs to be addressed in ways that exceed the scope and capacity of any single organization. With the increasing desire of funding organizations to support collaborative efforts, maintaining sustainable connections between southern Nevada’s non‐ profit organizations is needed now more than ever. This is the first comprehensive study of southern Nevada’s health, education, and social service non‐profit network. Via a web‐ based survey of nearly 300 executive directors and other leaders of health, education, and social service related non‐ profit organizations in Clark County, we were able to conduct a social network analysis to identify the structure of the non‐profit network as well as the positions of individual organizations within that network.

Transcript of Identifying and Describing the Network of Health, …...Analysis: Social network analysis (SNA) is a...

Page 1: Identifying and Describing the Network of Health, …...Analysis: Social network analysis (SNA) is a distinctive method designed to map, measure, and analyze the complex relationships

1Pleaserefertothefullreportforthequalitativeresponses. Page1

THELINCYINSTITUTERESEARCHBRIEF SPECIALREPORTNO.1

November2013

IdentifyingandDescribingtheNetworkofHealth,Education,andSocialServiceNon‐ProfitOrganizationsinSouthernNevadaBYSHANNONM.MONNAT,PhDANNASMEDLEY,MAFATMANASOZ,PhD

Abstract

Thisbriefpresentstheresultsofapartneringsurveydesignedtomeasurethepartneringpowerofeachhealth,education,andsocialservicenon‐profitinsouthernNevadaindicatedbytheconnectionsbetweentheseorganizations.Thesurveydocumentswhichorganizationsengagedinthemostpartnering,increasingthepotentialthattheycouldbetterleverageinvestmentsandphilanthropythroughtheirsocialnetwork.UniversityofNevadaLasVegas(UNLV),UnitedWayofSouthernNevada(UWSN),HELPofSouthernNevada,CatholicCharities,ThreeSquare,theClarkCountySchoolDistrict,GoodwillofSouthernNevada,andOpportunityVillageconsistentlyrankedhighlyintermsofoverallparticipationandactivity,influence,accesstoinformationandresources,andabilitytomobilizethenon‐profitcommunity.Therewerealsoanumberofsmallerorganizationsthatwefoundtobeimportantbrokersandconnectors,andtheseorganizationscanbeusedasmodelsforimprovingthecapacityoflower‐budgetandlesser‐resourcedorganizationsinthecommunity.1

IntroductionandSummaryofFindingsManyoftheeconomic,social,anddemographicissuesfacingsouthernNevadaaredynamicandinterrelated,requiringacoordinatedapproachonthepartofsouthernNevada’snon‐profitcommunity.Thecoordinationofservices,skills,andtalentsenablescommunityneedstobeaddressedinwaysthatexceedthescopeandcapacityofanysingleorganization.Withtheincreasingdesireoffundingorganizationstosupportcollaborativeefforts,maintainingsustainable

connectionsbetweensouthernNevada’snon‐profitorganizationsisneedednowmorethanever.

ThisisthefirstcomprehensivestudyofsouthernNevada’shealth,education,andsocialservicenon‐profitnetwork.Viaaweb‐basedsurveyofnearly300executivedirectorsandotherleadersofhealth,education,andsocialservicerelatednon‐profitorganizationsinClarkCounty,wewereabletoconductasocialnetworkanalysistoidentifythestructureofthenon‐profitnetworkaswellasthepositionsofindividualorganizationswithinthatnetwork.

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WefoundthatsouthernNevada’snon‐profitnetworkisnotdense,dueinparttothevastsizeofthenetwork(460organizationswereidentified).Thelargestorganizationsarewellconnected,butthereareopportunitiesfordevelopingmoreconnectionsacrossorganizationsofallsizesandsectors.Ourfindingsshowthattheaverageorganizationisconnectedwithtenothernon‐profitorganizationsinsouthernNevada,buttherearealsoanumberofisolates(i.e.,completelydisconnectedorganizations).

Intermsofoverallparticipationandactivity,influence,accesstoinformationandresources,andabilitytomobilizethenon‐profitcommunity,UniversityofNevadaLasVegas,UnitedWayofSouthernNevada,HELPofSouthernNevada,CatholicCharities,ThreeSquare,theClarkCountySchoolDistrict,GoodwillofSouthernNevada,andOpportunityVillageconsistentlyrankedhighly.However,therewerealsoanumberofsmallerorganizationsthatwefoundtobeimportantbrokersandconnectors,andtheseorganizationscanbeusedasmodelsforhelpingtobuildthecapacityoflower‐budgetandlesser‐resourcedorganizationsinthecommunity.

Whenaskedaboutbarrierstocollaboration,surveyrespondentsindicatedlackoffundingandresources,perceptionsofterritorialityandcompetition,theneedfortraining,concernaboutlackofdataavailabilityandusage,thedesireformorenetworkingopportunities,andcritiquesofleadership.MotivationandPurposeThereisaneedwithinsouthernNevadatomanagenon‐profitorganizationsefficientlyandeffectivelyandtoaugmentnon‐profitorganizations’abilitiestobuildadaptiveprograms,successfullycompeteforfederalandfoundationalgrantfunding,andeffectivelyservetheresidentsofsouthernNevada.Todate,nosystematicstudyexploredcollaborationsamongsouthernNevada’snon‐profitorganizations.Evidencegeneratedthroughthisprojectcanhelpguidethedevelopmentofoptimalstrategiestoimprovenon‐profitorganizationalcooperation,collaboration,andperformance

relatedtosocial,health,andeducationaloutcomes.

Thisprojectidentifiesthestructureofnonprofithealth,education,andsocialservicenetworkswithaspecialemphasisonidentifyingthenonprofit“leaders”insouthernNevada.Nonprofitleadersarethosewhoinfluencetheopinions,motivations,and/orbehaviorsofotherorganizationsandstakeholders.Thesearetheagenciesthat“makethingshappen.”Leadership,mostoftendiscussedinthecontextofindividualopinionleadershipandthediffusionofinnovationsmodelcanbeappliedtothenonprofitsectortoidentifywhichorganizationsarethemostactivewithinsouthernNevada’snonprofitnetwork,whichorganizationshavethegreatestaccesstoinformationandresources,andwhichorganizationscanserveasbrokers,intermediaries,andinnovatorsofdevelopmentandchange.ResearchMethodsSampleandResearchTools:Theprimaryresearchtoolusedinthisstudywasaweb‐basedsurveyadministeredtoExecutiveDirectorsandotherleadersofhealth,education,andsocialservicenon‐profitorganizationslocatedinClarkCounty,Nevada.Thesurveyandresearchplanweredevelopedviaacollaborativeeffortbetweenthestudy’sprincipalinvestigator,TheLincyInstituteScholars,andtheExecutiveDirectorofTheLincyInstitute.TheresearchprotocolwasapprovedbytheUniversityofNevada,LasVegasInstitutionalReviewBoard(IRB).

Analysis:Socialnetworkanalysis(SNA)isadistinctivemethoddesignedtomap,measure,andanalyzethecomplexrelationshipsthatoccurbetweenpeople,groups,andorganizations.Usingmathematicalalgorithmsandappropriatesoftwaredesignedspecificallyfornetworkanalysis,wecanexamineinformationandresourceflows,levelsofcooperationandcollaboration,andoverallpatternsofrelationshipsbetweennon‐profitorganizationsandhowthosepatternsfacilitateorconstraintheoverallfunctioningofsouthernNevada’snon‐profitnetwork.Accordingly,inadditiontobasicstatisticsdescribingthesample,wehave

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providedtheresultsofournetworkanalyses,includingsociograms(Moreno&Jennings,1934)andsociometricstatisticsthatdescribethenetworkpositionsofselectedindividualorganizations(e.g.,organizationalcentrality)aswellascharacteristicsoftheentirenon‐profitnetwork(e.g.,networkdensity).OrganizationalCharacteristicsWeaskedrespondentstoidentifysomecharacteristicsabouttheirorganizations,includingyearsofoperation,numberofemployees,annualoperatingbudget,andtypesofservicesprovided.Whenarespondentdidnotidentifythestartyearoftheorganization,weattemptedtolocatethatinformationviatheorganization’swebpageorGuideStar.Thesamplesizesvaryacrosseachofthefiguresbelowduetoavaryingnon‐responserateoneachoftheitems.

AsshowninFigure1,thenon‐profitcommunityinsouthernNevadaisyoung;47.5%oforganizationswerestartedin2000orlater.Over78%ofhealth,education,andsocialservicenon‐profitorganizationsinsouthernNevadaareunder35yearsold.

Figure1YearOrganizationBegan,N=387

Mostorganizationsoperatewithsmallbudgets(under$1,000,000),asshowninFigure2below.34%ofrespondentsindicatedthattheirannualoperatingbudgetislessthan$250,000withanother13.7%reportinganoperatingbudgetof$250,000‐500,000.However,nearly20%ofrespondentsreportedannualoperatingbudgetsof$5,000,000ormore.Theseareoftengovernmentorganizations,funders,andthelargestprivatenon‐profitorganizations.

Figure2AnnualOperatingBudget,N=291

Mostorganizationsarealsoquitesmall;morethanhalfofrespondents(53.8%)reportedhaving10orfeweremployees.About12%oforganizationsemployed11‐30people,9.3%employ31‐50,andjustunderaquarteroforganizationsemploy51peopleormore(seeFigure3below).

Figure3NumberofEmployees,N=290

SocialNetworkAnalysisSocialnetworkanalysisprovidesinformationaboutboththestructureofthenon‐profitnetworkasawholeaswellasthepositionsofindividualorganizationswithinthenetwork.

Networkanalysisenablesustodeterminethemostwell‐connectedandinfluentialorganizationswithinanetworkaswellastheoverallcohesivenessofthenetwork.Toassessthehealth,education,andsocialservicenon‐profitnetworkstructure,weaskedrespondentstolistupto20southernNevadanon‐profitorganizationswithwhichtheyweremostconnected.Weindicatedthattheorganizationslistedcouldbeprivateorlocal/stategovernmentorganizationsbutspecifiedthattheymustbelocatedin

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southernNevadaandmustbeinthehealth,socialservices,oreducationalfields.Someexamplesofconnectionswere:havingaformalMemorandumofUnderstanding(MOU),sharingpersonnel,volunteers,spaceordata,referringclients,receivingclientreferrals,receivingfunding,providingfunding,havingboardmembersincommon,participatingincommonprojectsorinitiatives,collaboratingongrantproposals,andco‐sponsoringevents.Respondentscouldalsotypeinotherwaysinwhichtheywereconnectedthatwerenotlistedonthesurvey.

Figure4representsasociogram(graphicalpresentationofconnections)(Moreno&Jennings,1934)oftheentirehealth,education,andsocialservicenon‐profitnetworkinsouthernNevada,withlargercirclesrepresentingagreaternumberofconnections.Circlesarealsocolorcodedbaseduponsector(private,government,faith‐based,andphilanthropic).

Figure4SociogramofConnectionsbetweenHealth,Education,andSocialServiceNon‐profitOrganizationsinSouthernNV

Thesecondapplicationofsocialnetworkanalysisinthisprojectwastohelpusunderstandtherolesandpositionsofindividualorganizationswithintheoverallnetwork.Thepositionofanorganizationwithinthenetworkdeterminesitscapacitytoaccessknowledgeandresources,spreadthatknowledgeefficiently,andcontroltheflowofinformationandresources.Ultimately,theorganizationsthatscorethehighestonseveralkeynetworkmeasuresareconsideredtobethemostactiveandinfluentialwithintheoverallsystem.

Thereareanumberofwaystodescribeanorganization’sparticipationwithin,importanceto,orinfluenceovertheoverallnetwork.Themostcommonmeasuresofcentralityaredegree,eigenvector,betweenness,andcloseness.Networkswithmorecentralstructureshavegreatercapacitytocoordinateotherorganizationsandproviderapidresponsetonewopportunities.Theyalsohavegreatercapacitytoanticipateandcopewithuncertaintiesandchallenges(Blanchet&James,2011).

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DegreeCentrality–Howpopularisyourorganization?

Oneofthemostcommonwaystomeasurenetworkcentralityisviadegreecentrality.Degreecentralityissimplythenumberofimmediatecontactsanorganizationhasintheoverallnetwork.Degreecentralityisviewedastheorganization’slevelofinvolvementoractivityinthenetworkandcharacterizestheextenttowhichanorganizationcanbeconsideredtobeamajorchannelforinformation.Organizationswithhighdegreecentralityareinvolvedwithmanyother

organizationsandthushavethepotentialtoobtainanddisseminateinformationandresourcesquickly.Alistofthe20organizationswiththehighestdegreecentralityispresentedinTable1withtheoverallnumberofties(connectionswithotherorganizations)andthestandardizedmeasurethatrepresentstheproportionofconnectionstheorganizationhasoutofallpossibleconnections.Figure5belowpresentsasociogramofthese20organizationswiththehighestdegreecentralityscores.

Table1DegreeCentrality‐Top20Organizations

Wecanseethattheprivatenon‐profitorganizationsarethemostrepresentedwith11organizationswhilethefaith‐basedorganizationsaretheleastrepresentedwithonlyoneorganization(CatholicCharities).Overall,thetop20mostconnectedorganizationsarealsowellconnectedwitheachother.

UNLV,forexample,isdirectlyconnectedto11oftheseorganizations,andThreeSquareandCatholicCharitiesaredirectlyconnectedto14organizationseach.Everyorganizationwithinthetop20caneitherdirectlyreacheachotherorreacheachotherindirectlythroughapaththroughoneortwootherorganizations.

Organization DegreeCentrality(NumberofTies)

StandardizedDegreeCentrality

UNLV 97 0.213

UnitedWayofSouthernNevada 82 0.180

HELPofSouthernNevada 73 0.160

CatholicCharities 72 0.158

ThreeSquare 70 0.154

ClarkCountySchoolDistrict 66 0.145

OpportunityVillage 55 0.121

GoodwillofSouthernNevada 50 0.110

ClarkCountyFamilyServices 41 0.090

ClarkCountySocialServices 41 0.090

BoysandGirlsClubsofLasVegas 40 0.088

TheShadeTree 39 0.086

LasVegasUrbanLeague 38 0.083

NevadaPartners 38 0.083

NevadaPEP 38 0.083

SouthernNevadaHealthDistrict 37 0.081

MGMResortsFoundation 37 0.081

CityofLasVegas 36 0.079

LegalAidCenterofSouthernNevada 36 0.079

SafeNest 35 0.077

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Figure5SociogramofConnectionsbetweenthe20MostConnectedOrganizations

red=private;blue=government;green=funders;pink=faith‐based

EigenvectorCentrality–Howpopularareyourfriends?

Inadditiontohowmanyconnectionsanorganizationhas,itisalsoimportanttobeconnectedtothe“right”organizations.Thatis,anorganizationincreasesitscentralityinthenetworkanditsabilitytoobtaininformationandresourcesifitisconnectedtootherorganizationsthathavenumerousconnections.Inachildhoodfriendshipcircle,thiswouldbeafriendshipwiththemostpopularkids.Thismeasureisreferredtoaseigenvectorcentrality.

Organizationswithahighnumberoftiessometimesalsohavehigheigenvectorcentralityscores,butnotalways.Forexample,althoughTheSalvationArmyandCommunitiesinSchoolsNevadawerenotinthetop20fordegreecentrality,theredidratehighlyoneigenvectorcentrality.Thus,whilethoseorganizationsthemselvesdonothavethesamehighnumberofconnectionsasUNLVorUnitedWay,forexample,theyareconnectedtowell‐connectedorganizations,affordingthemaccesstoinformationandresources.

Table2liststhe20organizationswiththehighesteigenvectorcentrality.

Table2EigenvectorCentrality‐Top20Organizations

Organization EigenvectorCentrality

United WayofSN 0.239UNLV 0.222ThreeSquare 0.218HELPofSouthernNV 0.216CatholicCharities 0.214ClarkCountySchoolDistrict 0.186GoodwillofSouthernNV 0.161OpportunityVillage 0.151LasVegasUrbanLeague 0.144BoysandGirlsClubsofLV 0.142CityofLasVegas 0.141ClarkCountySocialServices 0.127TheSalvationArmySouthernNV 0.122NevadaPartners 0.121VegasPBS 0.120CommunitiesinSchoolNV 0.118TheShadeTree 0.115MGMResortsFoundation 0.114ClarkCountyFamilyServices 0.105CityofNorthLasVegas 0.101

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BetweennessCentrality–Whereistheorganizationlocatedinthenetwork?

Whereanorganizationislocatedinthenon‐profitnetworkisalsoimportant.Anorganizationthatissituatedbetweendisconnectedorganizationscanserveasanintermediaryoraninformationandresourcebroker.Thisplacementaffordstheorganizationcertainadvantagesandpowerbecauseitcancontroltheflowofinformationandresources.Ifanorganizationrestsbetweenmanyotherorganizationsinthenetwork,thatorganizationcangreatlyinfluencethenetworkbybeinganeffectivemessengerofinformation.Thistypeofnetworkcentralityisreferredtoasbetweennesscentrality.Researchindicatesthatbetweennesscentralitybestcapturesthemostimportantactorsinanetwork–thenon‐profitleadersormostinfluentialorganizations(Freeman,1979;Wasserman&Faust,1994)

Table3Freeman’sBetweennessCentrality‐Top20OrganizationsOrganization Betweenness

Centrality

UNLV 12.254UnitedWayofSN 8.007HELPofSouthernNevada 6.911OpportunityVillage 5.449CatholicCharities 5.329ThreeSquare 5.197ClarkCountySchoolDistrict 5.119TheShadeTree 2.682GoodwillofSouthernNevada 2.596NevadaPEP 2.371ClarkCountyFamilyServices 2.232MGMResortsFoundation 2.216SNHealthDistrict 2.159WestcareFoundation 2.134LegalAidCenterofSN 2.083NevadaStateCollege 1.990

NVHealthDivision&DivisionofMentalHealthServ.

1.977

ClarkCountySocialServices 1.961USOLasVegas 1.900NevadaGIVES 1.881Note:NormalizedValues

Anorganizationwithahighbetweennesscentralityscorecanbeconsideredabridgingorganization.

Ifthatorganizationwasremovedfromthenetwork,thenetworkwouldbecomedisconnectedorinthemostextremecaseitcouldcollapse.Table3liststhe20organizationswiththehighestbetweennesscentralityscores.

ClosenessCentrality–Howindependentistheorganization?

Closenesscentralityemphasizesanorganization’sindependence.Anorganizationthatisclosetomanyotherorganizationsisveryindependentbecauseitcanquicklyreachouttomanyotherswithoutneedingtorelymuchonintermediariesorbrokers.Theseorganizationscanalsoquicklymobilizeothersinthenetworkbecausetheycanmoreeasilyreachouttomanyorganizationsthancanmoredisconnectedorganizations.Researchershavelinkedclosenesscentralitywiththeabilitytoeasilyaccessinformationinanetwork(Leavitt,1951)andwithhavingpowerandinfluenceoverthenetwork(Coleman1973;Friedkin,1991).Table4liststhe20organizationswiththehighestclosenesscentralityscores.

PredictingCentrality

Aftercalculatingthemostcommoncentralityscoresforeachorganization,wemergedthosescoreswithdatacollectedfromtheorganizationsorinformationwecouldfindonlineabouttheirsize,budget,age,andtypesofservicesprovided.Withthatinformation,weareabletopredictthetypesoforganizationsthatshouldhavehighcentralityscores.Inotherwords,whatorganizationalcharacteristicsareassociatedwithdegree,eigenvector,betweenness,andclosenesscentrality?

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Table4ClosenessCentrality‐Top20Organizations

Organization ClosenessCentrality

UnitedWayofSN 8.318UNLV 8.308HELPofSouthernNevada 8.292ThreeSquare 8.276CatholicCharities 8.270ClarkCountySchoolDistrict 8.240OpportunityVillage 8.221GoodwillofSN 8.187MGMResortsFoundation 8.152SalvationArmySN 8.143LasVegasUrbanLeague 8.141CityofLasVegas 8.134ClarkCountyFamilyServices 8.133ClarkCountySocialServices 8.133LegalAidCenterofSN 8.133BoyandGirlsClubsofLV 8.131VegasPBS 8.123TheShadeTree 8.121NevadaGIVES 8.117CommunitiesinSchoolsofNV 8.115Note:NormalizedValues

Theresultsofbivariatecorrelationanalysesshowthattherearesignificantpositiverelationshipsbetweenorganizationage,numberofemployees,annualbudgetandcentralityscores.

Onaverage,olderandlargerorganizations,intermsofbothnumberofemployeesandbudget,havegreatercentralityinthenetwork,includinggreateractivity,influence,power,andaccesstoknowledgeandresources.Overall,thereisanegativerelationshipbetweenbeingaprivatenon‐profitorganizationandeachofthecentralityscores,butthisislargelybecausetherearesomanyprivatenon‐profitorganizationswith

onlyoneortwoconnections,andthoseoutnumberthehandfulofprivatenon‐profitorganizationswithalargenumberofconnections.Finally,beingagovernmentnon‐profitorganizationhasapositiverelationshipwithdegree,eigenvector,andbetweennesscentrality,whilethereisnorelationshipbetweenbeingafunderorfaith‐basedorganizationandcentralityscores.

Accordingly,wecalculatedthepredicted(i.e.expected)centralitymeasuresforalltheorganizationswithcompleteage,budget,andemployeenumberinformation.Therewere276suchorganizations.Aftercalculatingtheexpectedvalues,wecomparedthosetothemeasuredcentralitymeasuresvalues.Someorganizationsperformedbetterthanexpectedandsomeperformedworsethanexpectedineachcentralitymeasure.

Werankedtheover‐performingorganizationsusingtherelativedifferenceformula(i.e.,thedifferencebetweenthemeasuredandtheexpectedscorerelativetotheexpectedscore,whichtakesthesizeoftheexpectedscoreintoaccount).Tables5through8displaythetop10over‐performingorganizationsineachcentralitymeasure.

Amongtheunder‐performingorganizations,somedefaultedtothiscategorybecausetheirmainareasofoperationarenothealth,education,orsocialservices.However,someorganizationsareunder‐performingdespitethefactthattheyoperateinoneormoreofthoseareasandthattheirbudget,age,andnumberofemployeespredictthemtohavehighcentralityscores.TwoofthoseorganizationsareUniversityofNevadaCooperativeExtension(DegreeCentrality–Expected:25.550,Measured:4)andCure4theKidsFoundation(DegreeCentrality–Expected:24.627,Measured:5)

 

 

 

 

 

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Table5DegreeCentrality‐Top10Over‐PerformingOrganizations

 

Table6EigenvectorCentrality‐Top10Over‐PerformingOrganizations

Table7Freeman’sBetweennessCentrality‐Top10Over‐PerformingOrganizations

Organization Expected Measured RelativeDiff.UNLV 23.318 97 3.160UnitedWayofSouthernNevada 20.046 82 3.091NevadaGIVES 7.449 30 3.027MGMResortsFoundation 10.291 37 2.595NevadaPartners 11.671 38 2.256HELPofSouthernNevada 23.701 73 2.080CatholicCharities 23.426 72 2.074ThreeSquare 23.021 70 2.041FamilyTiesofNevada 7.548 22 1.915NevadaHomelessAlliance 7.565 22 1.908

Organization Expected Measured RelativeDiff.NevadaGIVES 0.019 0.093 3.905UnitedWayofSouthernNevada 0.058 0.239 3.135MGMResortsFoundation 0.028 0.114 3.123NevadaHomelessAlliance 0.019 0.077 2.988NevadaPartners 0.032 0.121 2.795NevadaPublicEducationFoundation 0.019 0.071 2.658ThreeSquare 0.066 0.218 2.285UNLV 0.069 0.222 2.229CatholicCharities 0.068 0.214 2.138HELPofSouthernNevada 0.069 0.216 2.136

Organization Expected Measured RelativeDiff.UNLV 1.134 12.254 9.801USOLasVegas 0.229 1.900 7.296UnitedWayofSouthernNevada 0.988 8.007 7.107NevadaGIVES 0.236 1.881 6.955SHARE 0.267 1.625 5.087MGMResortsFoundation 0.375 2.216 4.912ActionRed 0.232 1.353 4.843R&RPartnersFoundation 0.241 1.405 4.841FamilyTiesofNevada 0.253 1.479 4.835HELPofSouthernNevada 1.193 6.911 4.791

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Table8ClosenessCentrality‐Top10Over‐PerformingOrganizations

Organization Expected Measured RelativeDiff.HeartheCry 6.676 7.831 0.173EmergencyAidofBoulderCity 6.766 7.917 0.170HopeofNevada 6.679 7.787 0.166NevadaPartners 7.125 8.111 0.138NevadaGIVES 7.221 8.117 0.124JuniorLeague 7.058 7.922 0.122NevadaPublicEducationFoundation 7.184 8.028 0.117TheAdoptionExchange 7.165 7.971 0.113NevadaHomelessAlliance 7.197 8.003 0.112ProgressiveChoices 6.964 7.724 0.109

IdentifyingOpinionLeaders

Inadditiontoaskingsurveyrespondentstoidentifytheorganizationswithwhichtheirorganizationswereconnected,wealsoaskedthemtoidentifyupto10peoplewhomtheyperceivetobetheleadersand/orconnectorsofthenon‐profitcommunityofsouthernNevada.Wespecifiedthatthesearethepeopletowhomanexecutivedirector,programcoordinator,etc.,mightturnforadvice,expertise,assistance,orcollaborationwhenopportunitiesforfundingor

programmaticimprovementarose.Atotalof569peoplewereidentified.Mostofthosepeople(73%,N=414)wereidentifiedonlyonce.CassPalmerandStaceyWeddingwereidentifiedthemostfrequentlyat26timeseach.Thewordcloudbelow(Figure6)identifiesthepeoplewhoweremostcommonlylistedasopinionleaderswithlargerfontsizesindicatingmoretimesidentified.

Figure6WordMapofOpinionLeaders

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BarrierstoCollaborationWeaskedrespondentstorankthemostimportantbarrierstheyseetocollaboratingwithothernon‐profitorganizationsonafive‐itemscalefromgreatestbarriertolowestbarrier.TheresultsoftherankingarepresentedinFigure7.

Figure7PerceivedBarrierstoCollaboration(%),

N=217

Inadditiontoaskingaboutbarriers,weaskedrespondentstoindicatetheirperspectivesaboutthecapacityofthehealth,education,andsocialservicenon‐profitcommunitytoeffectivelysecuregrantfunding.Abargraphshowingthepercentageofrespondentswhoreportedthattheoverallcapacitywasexcellent,good,fair,andpoorisdisplayedinFigure8.

Figure8PerceivedCapacityoftheSouthernNevadaNon‐ProfitstoSuccessfullyCompeteforFunding;

N=240

ConclusionSouthernNevadaisanever‐changingcommunitywithadiversesetofsocial,economic,anddemographicchallenges.Nosingleorganizationisabletodealwiththesechallengeseffectively.AcoordinatedapproachtoservicedeliverycanhavemanyadvantagesfortheresidentsofsouthernNevada,aswellastheemployeesofnon‐profitorganizationsthemselves.Suchadvantagesincludethecomingtogetherofdiversestakeholderswithdifferingperspectives,thepoolingoftangibleandinformation‐basedresources,thesharingofideasandstrategies,thediversificationoftalentsandcapabilities,reductionsinoverlapinservicesandthecoordinationofexistingservices,researchandanalysesthatarebroaderinscopeandmoreexpansiveindetailthanthosedonebyasingleorganization,andauniquechancetobetterunderstandotherorganizationsinourcommunity.Collaborationdoesnotcomewithoutchallenges,however.Successfulcollaborationsdemandclearcommunicationbetweenorganizations,amutuallybeneficialandwell‐definedrelationship,acommitmenttomutualgoalsandobjectives,sharedresponsibility,mutualauthority,accountabilityandrespect,andthesharingofresourcesandrewards(Parkinson,2013).

WehopethatthisstudycanserveasastartingpointforalargerdiscussionaboutsouthernNevada’snon‐profitcommunity,thecapacityofourorganizationstosuccessfullycompeteforfundingandserveclients,andstrategiesforimprovingcollaborationandmakingsouthernNevadaabetterplaceforourresidentstolive,work,andplay.

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AbouttheAuthors

ShannonM.Monnat,PhD,isanAssistantProfessorofRuralSociologyandDemographyatPennStateUniversity.ShewasanAssistantProfessorofSociologyatUniversityofNevada,LasVegasfrom2008‐2013.ShereceivedherPhDinSociologyfromtheUniversityatAlbany,StateUniversityofNewYorkin2008.Herinterdisciplinaryresearchfocusesonthesocialdemographyofyouth,children,andfamilieslivinginruralandurbanareasoftheU.S.withaparticularfocusonsocialandspatialinequalitiesandsocialdeterminantsofhealth.Sheisinterestedinhowthecharacteristicsofneighborhoods,families,andschoolscreatebarrierstoorprovideopportunitiesforwell‐being.

AnnaSmedley,M.S.W.,isastudentintheSociologyPhDprogramattheUniversityofNevada,LasVegas.Sheiscompletingherdissertationonvariationinoccupationalmobilityamongwhite,black,Mexican,PuertoRicanandCubanwomenoverthepastthreedecades.Since2007Annahasbeeninvolvedinon‐goingdiversityandcommunityengagementinitiativesthataimtocreateacollege‐goingcultureinsouthernNevada,increaseaccesstohighereducationforunderrepresentedgroups,andcreateamoreinclusivecampusenvironment.Sheisinterestedinracialandethnicvariationsinsocialmobilityandteachingforsocialjustice.

FatmaNasoz,PhD,istheseniorresidentscholarofinformationtechnologywithTheLincyInstituteatUNLV.Previously,shewasanAssistantProfessoratUNLV’sSchoolofInformatics.SheischargedwithleadingtheInstitute’stechnologyinitiativesthatwillenhancetheITanddatacapabilitiesofsouthernNevada’snonprofitandgovernmentagencieswithinthesectorsofhealth,educationandsocialservices.HeracademicresearchfocusesonArtificialIntelligenceandHuman‐ComputerInteraction.ShereceivedherPhDinComputerSciencefromUniversityofCentralFloridain2004.

Acknowledgments

TheauthorswishtothankTheLincyInstituteatUNLVforprovidingfundingandtechnicalsupportforthisprojectandtheDepartmentofSociologyatUNLVforprovidingcomputingsupport.SpecialthankstograduateresearchassistantsinTheLincyInstitutefortheirhelpinlocatingcontactinformationforthenon‐profitorganizationsandtoRobertLang,LucyKlinkhammer,AlexandraNikolich,SonyaHorsford,RamonaDenbyBrinson,andDeniseTanataAshbyfortheirfeedbackontheresearchplanandsurveydesignandtheirassistancewithidentifyingthepoolofeligiblenon‐profitorganizationsinClarkCounty.

AboutUNLV

UNLV,foundedin1957,isaninstitutionofapproximately27,000studentsandnearly2,900facultyandstafflocatedonthesoutherntipofNevadaminutesfromtheLasVegasStrip.ClassifiedbytheCarnegieFoundationfortheAdvancementofTeachingasaresearchuniversitywithhighresearchactivity,UNLVoffersmorethan200undergraduate,graduateanddoctoraldegreeprogramsincludinginnovativeacademicdegreesinsuchfieldsasgamingmanagement,entrepreneurship,entertainmentengineeringandmuchmore.Theentertainmentcapitaloftheworld,LasVegasoffersstudentsa“livinglaboratory”forresearch,internships,andawidevarietyofjobopportunities.UNLVisdedicatedtodevelopingandsupportingthehumancapital,regionalinfrastructure,andeconomicdiversificationthatNevadaneedsforasustainablefuture.Formoreinformation,visit:http://www.unlv.edu/

 

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AboutTheLincyInstitute

Establishedin2009,TheLincyInstituteconductsandsupportsresearchthatfocusesonimprovingNevada’shealth,education,andsocialservices.ThisresearchwillbeusedtobuildcapacityforserviceprovidersandenhanceeffortstodrawstateandfederalmoneytothegreaterLasVegas.TheLincyInstitutewillalsohighlightkeyissuesthataffectpublicpolicyandquality‐of‐lifedecisionsonbehalfofchildren,seniors,andfamiliesin.RobertE.Lang,Ph.D.servesastheInstitute’sExecutiveDirector.Tolearnmorevisit:http://www.unlv.edu/lincyinstitute 

4505S.MarylandParkway,Box453067LasVegas,NV89154(702)895‐0088

Thisinformationmaybeusedandcopiesmadefornon‐commercialpurposes.Properattributionisrequired.

Forcitationpurposes,pleaseuse:Monnat,S.M.et.al.(2013,October).IdentifyingandDescribingtheNetworkofHealth,Education,andSocialServiceNon‐ProfitOrganizationsinSouthernNevada,SpecialReportNo.1,TheLincyInstituteatUniversityofLasVegas.