Cornell University ILR School DigitalCommons@ILR Articles and Chapters ILR Collection 1985 Institutional Environments and Resource Dependence: Sources of Administrative Structure in Institutions of Higher Education Pamela S. Tolbert Cornell University, pst3@cornell.edu Follow this and additional works at: http://digitalcommons.ilr.cornell.edu/articles Part of the Higher Education Commons, Labor Relations Commons, Organizational Behavior and Theory Commons, and the Work, Economy and Organizations Commons Thank you for downloading an article from DigitalCommons@ILR. Support this valuable resource today! This Article is brought to you for free and open access by the ILR Collection at DigitalCommons@ILR. It has been accepted for inclusion in Articles and Chapters by an authorized administrator of DigitalCommons@ILR. For more information, please contact hlmdigital@cornell.edu. Institutional Environments and Resource Dependence: Sources of Administrative Structure in Institutions of Higher Education Abstract Two theoretical perspectives are combined to explain the pattern of administrative offices in public and private institutions of higher education. The first perspective, resource dependence, is used to show that the need to ensure a stable flow of resources from external sources of support partially determines administrative differentiation. The second perspective, institutionalization, emphasizes the common understandings and social definitions of organizational behavior and structure considered appropriate and nonproblematic and suggests conditions under which dependency will and will not predict the number of administrative offices that manage funding relations. The results of the analyses indicate that dependence on nontraditional sources of support is a strong predictor of administrative differentiation and demonstrate the validity of integrating these two theoretical perspectives. Keywords higher education, administration, resources, institutionalization Disciplines Higher Education | Labor Relations | Organizational Behavior and Theory | Work, Economy and Organizations Comments Suggested Citation Tolbert, P. S. (1985). Institutional environments and resource dependence: Sources of administrative structure in institutions of higher education [Electronic version]. Administrative Science Quarterly 30(1), 1-13. Required Publisher Statement Copyright held by Cornell University. This article is available at DigitalCommons@ILR: http://digitalcommons.ilr.cornell.edu/articles/425 InstitutionalEnvironments and Resource Dependence: Sources of AdministrativeStructure in Institutionsof Higher Education Pamela S. Tolbert ? 1985 by Cornell University. 0001-8392/85/3001-0001/$1 .00. Helpful comments by Paul DiMaggio, John Meyer, Jeffrey Pfeffer, Robert Stern, William Stevenson, Ray Zammuto, Lynne Zucker, and the ASO reviewers are gratefully acknowledged. Special thanks are owed to George Jakubson for his extraordinarilygenerous assistance with the computer program and analytic procedures. Two theoretical perspectives are combined to explain the pattern of administrative offices in public and private institutions of higher education. The first perspective, resource dependence, is used to show that the need to ensure a stable flow of resources from external sources of support partiallydetermines administrative differentiation. The second perspective, institutionalization,emphasizes the common understandings and social definitions of organizational behavior and structure considered appropriate and nonproblematic and suggests conditions under which dependency will and will not predict the number of administrative offices that manage funding relations. The results of the analyses indicate that dependence on nontraditionalsources of support is a strong predictor of administrative differentiation and demonstrate the validity of integrating these two theoretical perspectives. Inexplainingthe formalstructureof organizations,classic organizationtheoryemphasizes problemsof coordinationand controlof workactivities(e.g., Taylor,1911; Weber, 1946; Simon, 1956). Reflectingthis tradition,researchon sources of growth inthe administrativecomponent of organizationshas typicallyfocused on factors such as size and complexitythat are assumed to impede the efficientsupervisionof tasks (Terrienand Mills,1955; Bendix,1956; AndersonandWarkov, 1961; Pondy,1969; Blau,1970; Hsu, Marsh,and Mannari, 1983). Recent workon this problem,however, places greateremphasis on environmentalrelationsand influencesthanon internal relationshipsas determinantsof administrativestructure(Freeman, 1973; Meyerand Brown,1977).A numberof different perspectives on organizationalenvironmentsand the way in which environmentsaffect organizationalbehaviorand structure have emerged. Inone, the environmentis conceptualized interms of otherorganizationswith which the focal organization engages indirectexchange relations(Levineand White, 1961; Thompson,1967; Pfefferand Salancik,1978). Administrativestructure,fromthis perspective, reflects efforts to ensure a stable flow of resources and to manage problemsand uncertaintiesassociated with exchange transactions.Increasing dependence on exchange relationshipsproducesadministrativedifferentiationas organizationscreate offices and positions to manage these relationships. Ina second approach,the environmentis conceptualizedin terms of understandingsand expectations of appropriateorganizationalformand behaviorthat are sharedby members of society (Zucker,1977, 1983). Such normativeunderstandings constitute the institutionalenvironmentof organizations.Organizationsexperience pressureto adapttheirstructureand behaviorto be consistent with the institutionalenvironmentin orderto ensure theirlegitimacyand, hence, theirchances of survival(Meyerand Rowan,1977; DiMaggioand Powell, 1983). This researchintegratesthese two perspectives to explain administrativedifferentiationin colleges and universities.A centralpremise of this approachis that dependency relationshipscan, over time, become sociallydefined as appropriate and legitimate.Itis hypothesizedthatwhen relationsare 1/AdministrativeScience Quarterly,30 (1985): 1-13 1 Theintense debateoverthe bail-outof the ChryslerCorporation bythe federalgovernment is a highlyvisibleexampleof the institutionalized natureof dependencies. Criticismsof the government'sactions clearlyreflectednot onlylong-runcost concerns, butcommonconceptionsof the appropriateness andlegitimacyof public supportof a privateorganization (see Chapman,1979; Friedman,1979; Samuelson, 1979). institutionalizedinthis way, variationsamong organizationsin actuallevel of dependencywill be unrelatedto the numberof administrativeoffices associated with the managementof the relations.When an organizationenters intoan exchange relationshipthat runscounterto institutionalizedpatterns,however, the maintenanceof this relationshipwillgenerallyrequire intensiveadministrativeeffort. Itis hypothesizedthat when relationsare not institutionalized,increasingdependence will of administrative be directlyassociated with the proliferation offices to manage the relationship.Thus,the institutionalenvironmentdefines the conditionsunderwhich increaseddependency leads to administrativedifferentiation.Thisresearch investigates these hypotheses, focusing on patternsof dependence among highereducationinstitutionsand the number of administrativeoffices that manage these dependencies. Sources of Administrative Structure Dependency relationsthat are not institutionalizedare generally less predictable,more uncertain.As these relationsbecome an increasinglyimportantsource of supportfor the organization, the numberof administrativeoffices and positionsassociated with the managementof the relationsis likelyto grow. In this case, the magnitudeof dependency will predictadministrativedifferentiation.Formaloffices are created to serve a directlyfunctionalrolein negotiatingand managingthe demands and problemsaccompanyingthe relationship.They serve a symbolicroleas well, since theirpresence can act as an indicator,or signal,of the organization'scommitmentto the exchange relationship(Spence, 1973, 1974; Meyer, 1979). Thus,the institutionalization of dependency relationsdetermines whether or not increasingdependence willdirectly affect the proliferation of formaladministrativeoffices within organizations. ADMINISTRATIVE DIFFERENTIATION AND PATTERNSOF DEPENDENCE Inapplyingthese ideas to an examinationof administrative differentiationin colleges and universities,distinctionsmust be made between publicand privateinstitutions.The two types of institutionshave a long-standingtraditionof drawingon different sources of financialsupport.Publicinstitutionshave typicallyreliedheavilyon governmentalsources of support,especiallysupportfromstate legislatures,while privateinstitutions have receivedtheirincome primarily fromtuition,endowments, and gifts and grantsfromprivatedonors. These patternsderivehistoricallyfroma majorlegaldecision addressingthe issue of state controlover institutionsof higher education.Duringthe colonialperiod,state governments provided substantialsubsidies to privateinstitutionswithintheir jurisdictions.In1819, however, a Supreme Courtrulingestablishedthe autonomyof privatehighereducationinstitutions fromgovernmentsupervisionand control.Followingthis decision, states rapidlywithdrewsupportfromthese institutions (Rudolph,1962; Brubacherand Rudy,1965). Whileprivate institutionsbecame increasinglyrelianton tuitionand privately sponsored endowment funds as primarysources of revenues, an ideologydeveloped to accompanythis independence, promotedlargelyby the institutionsthemselves. As Rudolph (1962: 189) noted, "Beforelong, college presidentswould be talkinglikePresidentEliot[of HarvardUniversity]as spokesmen for ruggedindividualism,forthe virtuesof independence and freedom fromstate support." Overtime, differences in dependency relationsfor publicand privatecolleges and universitieshave become institutionalized; dependence on differentsources of supportis viewed as an appropriatedifferencebetween the two types of organizations. Patternsof supportfor publicand privatecolleges and universitiesprovideevidence of the institutionalization of these dependencies, as shown in Table1. Privateinstitutionshave regularlyderivedapproximately10 percent of theirincome fromprivategifts and donations, whereas publicinstitutionshave typicallyreceivedonlyabout 2 percent of theirincome fromthis source. Publicinstitutions,on the other hand,have been able to depend heavilyon state and 3/ASQ, March 1985 Table 1 Percentage of Revenues of Public and Private Colleges and Universities from Major Sources of Support, 1939-1974* 1939-49 1953-54 1959-60 1961-62 1963-64 1967-68 1970-71 1971--72 1972-73 1973-74 State Public Federal Tuition 61.9 65.6 59.4 44.0 42.9 44.5 47.5 46.3 47.1 47.9 13.5 16.0 21.6 18.6 19.1 17.8 11.7 11.8 12.1 11.1 20.3 13.3 13.2 10.4 11.2 11.6 13.1 13.7 13.4 12.9 Gifts State Private Federal Tuition Gifts 1.9 3.1 3.4 2.4 2.2 .6 1.9 1.9 2.0 2.0 3.1 2.6 2.1 1.7 3.0 1.3 2.2 2.2 2.3 2.7 .1 19.1 25.9 23.2 26.5 28.2 12.1 11.8 11.5 11.0 13.8 16.6 15.6 10.6 10.6 7.6 9.5 9.7 9.4 9.5 57.0 47.0 43.8 32.4 30.4 33.6 35.8 35.8 35.6 35.8 *Data for the years 1939-1960 are from O'Neill (1973); data for the remaining years are from U.S. Department of Health, Education and Welfare, National Center for Education Statistics, FinancialStatistics of Higher Education. locallegislaturesfor support.This is clearlynot the case for theirprivatecounterparts.Moreover,the proportionof revenues derivedfromeach of these majorsources shows remarkablylittlevariationwithineach set of institutionsover the 20-yearperiod.Onlyrevenues fromthe federalgovernment show any substantialchange, reflectingwaxingand waning supportfor academic research.Thisoverallstabilitysuggests stronglyinstitutionalizedpatternsof dependency relations.Private donorsand alumnitarget privatecolleges and universities as appropriatebeneficiariesof theirlargesse, while government agencies favorthose inthe publicsector as appropriate recipients. Consequently,publicinstitutionstypicallyfindit more difficult to obtainsignificantfinancialsupportfrom privatefunding agencies and alumnithando privateinstitutions.The latter,in state and turn,often findgovernmentalbodies, particularly locallegislatures,extremelyreluctantto offer financialsupport. A small but noteworthyindicationof this is the move by many privateinstitutionsto relabelthemselves as "independents." Thisaccompanies efforts by these institutionsto attractpublic sources of funding(Brenemanand Finn,1982). Ithas been arguedthat it is onlywhen dependency relations are not institutionalized that the degree of dependency will predictadministrativedifferentiation.Thus, it is hypothesized: Hypothesis 1: Dependence on publicsources of supportwillstrongly predictthe numberof administrativeoffices that managepublicfundingrelationsamong privateinstitutions. Hypothesis la: Dependence on publicsources of supportwillnot predictthe numberof public-funding offices among publicinstitutions. Hypothesis 2: Dependence on privatesources of supportwillstrongly predictthe numberof administrativeoffices that manageprivatefundingrelationsamong publicinstitutions. Hypothesis 2a: Dependence on privatesources of supportwill not offices among private predictthe numberof private-funding institutions. Ifdifferentiationis linkedsimplyto the managementof particulartypes of dependency relations,there should be no interaction effects of controland dependency as predictorsof dif4/ASQ, March 1985 Sources of AdministrativeStructure ferentiation.Ifadministrativedifferentiationis affected by the of the relationship,dependence on particuinstitutionalization larsources of supportshould show an interactiverelationship with controlin predictingdifferentiation. METHOD Data Dataused in the analyses are fromthe HigherEducation GeneralInformationSurvey(NationalCenterfor Education Statistics, 1980) and other secondarydata sources for 19751976. The survey is conductedannuallyamong two- and four-yearinstitutionsof highereducationinthe UnitedStates and gathers a varietyof informationon these institutions, includingenrollment,sources of revenues, and expenditure patterns.Inaddition,the surveyasks respondentsto list key administrativeofficers andtheirpositions; each positionis then assigned a common job code, based on the descriptionof the associated administrativeresponsibilities.These data have two advantages. First,they are the only publiclyavailabledata on college and universityadministrationat the nationallevel. Second, because common job codes are assigned, there is no problemwith functionallyequivalentoffices havingdifferent jobtitles. Sample The sample was drawnfromthe set of highereducation institutionsclassifiedby the CarnegieCommissionas either or as "comprehensive."Thisincludedall doctorate-granting majorresearchinstitutions,universitiesgrantingat least 20 Ph.D.'syearly,and institutionsofferingprofessionalprograms in additionto a basic liberalarts curriculum.These institutions were stratifiedby publicand privatecontrol,and a random sample was drawnwithineach stratum.The resultingsample contained281 institutions,of which 167 were publicand 114 were private. Measuring Administrative Differentiation Fromthe list of coded administrativepositions,six were selected as havingmajorresponsibilityfor managingrelations with externalsources of financialsupport.These were used to measure the dependent variables,the numberof offices with primaryresponsibilityforthe managementof private-funding sources and the numberresponsiblefor dealingwith publicfundingsources. Administrativepositionswith responsibilityfor managingprivate fundingincludethose of chief development officer,director of alumnirelations,and directorof admissions. The job descriptionof the duties of the chief development officer includesobtainingfinancialsupportfromalumniand other organizations,coordinatingvolunteerfund-raisingactivities, and managinggeneralpublicrelationsactivities(Jones, 1977). The duties of the directorof alumnirelationsare very similar, though obviouslytargeted specificallyat alumnigroups.The directorof admissions is responsiblefor the recruitment, selection, and admissionof students. Since tuition'feesare often a significantsource of private-sectorsupport,how the recruitmentand selection processes are managedcan have an importantimpacton the institution'ssupportbase. 5/ASQ, March 1985 Responsibilityfor dealingwith sources of publicfundingis assigned to the directorof the informationoffice, the chief planningofficer,and the directorof institutionalresearch.The duties of the directorof the informationoffice center on providinginformationaboutthe institutionto students, faculty, and the generalpublic.Thisincludespreparingand reviewing news releases and informationbulletins,and managingrelations with the news media.The directorof institutionalresearch carriesout researchon the institutionitself and disseminates this informationto appropriatesources (e.g., legislative or governmentalagencies). The responsibilitiesof the chief planningofficerincludemonitoringand managingstate and federalrelations,as well as long-rangeplanningto allocate institutionalresources. Itshouldbe noted that the office of each serves a varietyof functions,not alldirectlyinvolving fundingrelations. Table2 shows the percentageof publicand privateinstitutions that reporthavingeach of these administrativepositions.The percentageof privateinstitutionsreportingthe presence of a Table 2 Percentage of Public and Private Institutions Reporting Selected Administrative Positions for Funding Relations Administrative positions Public Private Chief Development Officer Director of Admissions Director of Alumni Relations Chief Planning Officer Director of Information Director of Institutional Research 47.9 66.5 50.3 43.7 43.1 45.5 83.3 86.8 61.4 28.9 25.4 24.6 chief developmentofficerand a directorof admissions is significantlyhigherthanthat of publicinstitutions.A noticeably higherproportionof privateinstitutionsalso reportshavinga directorof alumnirelations,althoughthe differencedoes not reachsignificance.Publicinstitutions,on the other hand,report significantlymore often havingthe positionsthat manage relationsassociated with sources of publicfunding. These resultsaccordwith expectations derivedfrom both the institutionalization and resourcedependence perspectives. In the firstperspective,structuralpatternsare expected to be associated with institutionalized dependencies. Thus,the offices among private greaterfrequencyof private-funding offices among publicinstituinstitutionsand public-funding tions is predicted.Likewise,froma resourcedependence offices would be expected to perspective, private-funding occur more frequentlyamong privateinstitutionsthat presumablydepend more heavilyon privatesources of support,while offices. the reverse would be expected for public-funding However,the resourcedependence perspectivesuggests that increasingdependence should predictan increase insuch offices, regardlessof the type of organizationalcontrol.If,in contrast,the creationof these offices is affected by the of dependency relations,increaseddepeninstitutionalization dence on publicfundingshould be a better predictorof the offices in privateinstituoccurrenceof the three public-funding tions than in publicones. Similarly,the creationof the three 6/ASQ, March 1985 Sources of AdministrativeStructure offices shouldbe more stronglypredictedby private-funding dependence on privatefunds in publicuniversities. Measuring Dependence Dependence was measured by the proportionof the institution's total revenues derivedfromfourprimarysources of governmentgrantsand support:governmentappropriations, contracts,gifts and grantsfromprivatesources, and "selfgenerated"funds -tuition, fees, and endowment income. The firstcategory,governmentappropriations,is a source of viewed as a mainstayof publicinstitusupporttraditionally tions, while the last two categories are supportthat is conventionallyassociated with privatestatus. Althoughpublicand privateinstitutionshave both receivedgovernmentgrantsand contractsfor researchsince WorldWar11(Nelson, 1978), governmentgrantswill be treated here as technicallya public source of support. ControlVariables Inadditionto the measures of dependency, the analyses includedtwo other independentvariablesas controls:size and a measure of researchorientation.Size, measured here by total student enrollment,has often been linkedto administrative differentiation(Terrienand Mills,1955; Blau,1970; Hsu, Marsh,and Mannari,1983). Thismeasure was logged to correctfor skewedness. The complexityof administrationin institutionswith a strong researchorientation,measured by the percentage of total expendituresallocatedfor research activities,mightalso be expected to produceadministrative differentiation.Thus,these variableswere includedto ensure that the observed relationshipswere not merely reflectionsof differences in size or between researchand nonresearch institutions. ANALYSIS To test the effects of resourcedependence on administrative differentiation,two dependent variableswere created, one offices reportedand based on the numberof public-funding offices reported. one based on the numberof private-funding Table3 shows the means and standarddeviationsof the variablesby type of institution. Table 3 Means and Standard Deviations of Resource-Dependence Variable Size (in 1 000's) % Expendituresforresearch % Revenues Government appropriations Government grants Private gifts Self-generated Number of public-funding offices Number of private-fundingoffices Variables by Type of Institution Public (N= 167) S.D. Mean Private (N= 114) S.D. Mean 16.511 9.133 11.214 8.691 8.722 8.344 6.556 8.822 48.044 11.708 2.462 15.496 1.396 1.718 13.659 7.506 2.242 8.322 .876 .938 2.345 13.642 7.837 51.034 .876 2.389 4.920 10.217 5.275 19.289 .877 .760 Ineach case, the dependent variablecan assume one of only fourpossible values (0-3). Because multivariatelinearanaly7/ASQ, March 1985 ses are based on assumptions requringan intervallevel of measurementforthe dependent variable(Maddala,1983), the use of ordinary-least-squares techniques is inappropriate.2 Instead, an orderedprobitmodel was employed. Thisis an extension of a dichotomousprobitmodel that is applicableto analyses involvingordinaldependent variables(McKelveyand Zavoina,1975; Winshipand Mare,1984). Withthis analytic procedure,a distinctionis drawnbetween an underlying theoreticaldependent variable,which has an intervalscale of measurement,and the observed dependent variable,which is ordinal.Inthe present case, the latenttheoreticalvariablemay be thoughtof as the amountof pressurefor administrative differentiation;the observed variableis the presence of zero, one, two, or three offices. Moreformally,if Y*is the underlyingtheoreticalvariable,and Y is the observed variable,then it is assumed: Y* = OX+ u, (1) where u - N(O,&2). To set the scale of measurement,(2_1 (see Joreskog and Sorbom,1981). Then: OifY*<ao 1 if ao < Y* < a Y_ a (2) 2ifota <Y* < a2 3 if U2< Y* The alphasinthis equationrepresentthe threshholdpoints in the distributionof Y*at which the observed Ytakes on a differentvalue.The relationshipbetween the latentvariable, Y*,and the observed Yis depicted in Figure1. f(Y*) L< '~~~~~~~~~Y 1 2= Y= 0 Y= 3 Figure 1: Relationship between observed ordinalvariable (Y)and latent continuous variable (Y*). 2 Linearregressionmodelsarebased on the assumptionthatthe distribution of data pointsaroundthe regressionlineyieldsa set of errortermswitha meanof zeroand a constantvariance.Whendealingwithan ordinaldependentvariable,these assumptionsaregenerallynotvalid(McKelveyand Zavoina,1975). Combining the first two equations implies that: P(Y= OIX)= P(Y*< OLX)= P(PX+ u< OL)= P(u < O0 - AX)= 8/ASQMar1 8/ASQ, March 1985 (3) Sources of Administrative Structure where F(o0 - PX)signifies a standard normal cumulative density function(see Figure1).Thiscan readilybe extended to the othervalues of Y.Because orderedprobitmodels take into account ceilingand floorrestrictionson probabilities,they are highlypreferableto linearmodels when the observed Yis markedlyskewed (Winshipand Mare,1984). Maximumlikelihoodmethods (Berndtet al., 1974; McKelvey and Zavoina,1975; Chow, 1983)were used to obtainestimates of the parametersof the model. Separateanalyses were carriedout for each dependent variable,using the full sample of institutions.These analyses were then repeated, usingthe subsamples of publicand privateinstitutions. RESULTS Table4 presents the results of the orderedprobitanalysisof the numberof public-funding offices, using the fullsample of institutions.The beta coefficients representthe slope coefficients inthe latentregression,or the incrementin Y*brought about by a unitchange inthe independentvariable.The first alphacoefficient is automaticallyset to zero for normalization. The othertwo alphas representthe remainingcutpointsin the distribution of Y*. The Xis a test of the overall significance of the model, based on a comparisonof the presented model with one inwhich the betas are constrainedto be zero. Table 4 Ordered Probit Analysis of Public-Funding Offices in Total Sample Independent variables B S.E. t-value -1.16 3.450 -.50 1 .70 1.12 1.17 -1 .95g -1 .77 12.00a 16.170 Constant Size % Research expenditures Control (public) % Government appropriations % Government grants Control x appropriations Control x grants -.231 -.006 .653 .038 .016 -.032 -.028 .200 .774-5 .012 .363 .033 .013 .016 .016 atn 1.137 2.183 .095 .135 OL2 Log L X .267-4 -333.07 44.44000 *1p<.10; *61p<.05; *00tp<.01. Thereare clearinteractiveeffects of controland dependence on governmentgrantsand appropriations. Apartfromsize, the strongest and only significantpredictorsof the numberof offices are publiccontroland the interaction public-funding terms. InTable5 the analysisis repeated, using the numberof offices as the dependent variable. private-funding Dependence on privategifts and self-generatedsources of fundingare not, by themselves, strong predictorsof the number of offices. The interactionterm for controland dependence on privategifts does emerge as significant,however, along with the terms for controland for size. 9/ASQ, March 1985 Table5 OrderedProbitAnalysis of Private-FundingOffices in Total Sample B Independentvariables Constant Size % Researchexpenditures Control(public) % Privategifts % Self-generated Controlx gifts Controlx self-generated 1.678 .171-4 .008 -1.210 -.003 .013 .061 .013 1.996 2.050 at1 OL2 S.E. t-value .499 .763-5 .009 .492 .022 .013 .034 .013 3.36g 2.251 .85 -2.460 -.14 .57 1.87 .98 .113 .133 8.790 15.410g -333.65 53.180 LogL X *p<. 10; *6p<.05; *00tp<.01. Bothanalyses suggest, then, that the effect of dependency on administrativedifferentiationvariesfor publicand privateinstitutions.To examine this more closely, the analyses were repeated, usingthe subsamples of each type of institution. offices by public The orderedprobitanalyses for public-funding and privateinstitutionsare shown inTable6. Table6 OrderedProbitAnalysis of Public-FundingOffices in Publicand Private Institutions B Independentvariables Constant Size % Researchexpenditures % Governmentappropriations % Governmentgrants Ot 1 aL2 -.005 .005 -.009 .343 .895-5 .013 .005 .015 1.156 2.207 .122 .167 .187-4 -209.49 6.30 Log L X *rx.10 .521 Public t-value S.E. 16" *r nn 101 * 1< 1.52 2.080 -.34 .97 -.64 9.470 13.23a B Private S.E. -.469 .680-4 -.020 .037 .018 .240 .241-4 .030 .018 .023 -1.960 2.83g -.68 1.001 2.223 .253 .177 6.780 11.38a t-value 1.9400 .78 -120.46 18.62a . Among publicinstitutions,onlysize emerges as a strong predictor.Increasingdependence on publicsources of support has no substantialeffect on the numberof public-funding offices. Overall,the low value of Xindicatesthat these variables add littleto the predictionof administrativedifferentiation. Among privateinstitutions,on the other hand,dependence on governmentalappropriationsis significantlyrelated to differentiation.The test statisticforthe overallmodel is also significantinthis case. These results,then, are consistent with the firsthypothesisand its corollary. offices by Table7 presents the analyses for private-funding type of institution.As hypothesized,increasingdependence on privategifts, is a much privatesources of support,particularly strongerpredictorof differentiationin publicthan in private 1O/ASQ, March 1985 Sources of Administrative Structure Table 7 Ordered Probit Analysis of Private-Funding Offices in Public and Private Institutions Independent variables Constant Size % Research expenditures % Private gifts % Self-generated .475 .10o-4 .016 .059 .018 .957 2.060 Ot 1 aL2 1 .250 .834-5 .012 .030 .012 .112 .153 -212.87 13.92a Log L X *ne. Public S.E. B bn t-value B 1.567 Private S.E. 1.90g 1.20 1.33 1 .92g 1.51 -.021 .006 .001 .695 .297-4 .020 .025 .008 7.810 13.470 1.166 2.179 .292 .307 .686-4 t-value 2.540 2.3100 -1.06 .24 .06 3.99a 7.090 -117.20 9.00 no 1011p.l grind.05 institutions.Inthe lattercase, the measures of dependence on each source have virtuallyno relationshipto the numberof offices. Thus,these results providesupportfor private-funding the second set of hypotheses as well. As expected, dependence on publicor privatesources of of administrativeoffices only fundingpredictsthe proliferation when the dependencies are not alignedwith traditionalpatterns. Inotherwords, dependence on a given exchange relationshipmay or may not lead to the creationof offices and positionsto managethose relationships.Since institutionalized dependencies are often accompaniedby the institutionalization of structuralcomponents, organizationscharacterizedby such relationsadoptthose components ceremonially,independent of actuallevels of support.Thus, increasingdependence does not necessarilyproduceadministrativedifferentiation.It is onlywhen dependency relationsare not institutionalizedthat increasingdependence is stronglyassociated with the development of separate administrativeoffices to manage them. DISCUSSION perspective These analyses suggest that an institutionalization defines conditionsunderwhich hypotheses generated by a resourcedependence perspectivewill hold.Thereare, however, alternativeexplanationsand modificationsof this argument to be considered.First,it could be arguedthat the results of the analysissimplyreflectthe limitedvarianceof the independent variableswhen dependencies follow traditionalpatterns. Examinationof the means and standarddeviationsof the variables,shown inTable3, substantiallyweakens the plausibilityof this argument.None of the measures of traditional among public dependencies (e.g., governmentappropriations institutions,gifts and donationsamong privateinstitutions)has a markedlyrestrictedvariance.The rangeforthe measure of among publicindependence on governmentappropriations stitutionsis from 10 to 84 percentof total revenues; the range for dependence on privategifts is from 1 to 33 percentamong privateinstitutions.Thus,this alternativeis not supportedby the data. Itmightalso be arguedthat the relationshipbetween dependence and administrativedifferentiationshould be reciprocal. 11/ASQ, March 1985 Whilea plausiblecase may be made forthis, the central concernof the present analysisis to demonstratethe link between two generaltheoreticalperspectives that focus primarilyon the sources of administrativedifferentiationrather thanon the consequences. The latter,however, remainsan interestingproblemfor furtherresearch. CONCLUSIONS Contemporaryresearchon organizationshas produceda variety of theoreticalperspectives, each pointingto differentexplanatoryfactors.Althoughthe complementarityof different perspectives is sometimes acknowledged(Aldrichand Pfeffer, 1976; Ulrichand Barney,1984), empiricalresearchtypically draws on a single theoreticalapproachin explainingparticular cases of organizationalbehaviorand structure.Positiveoutcomes are interpretedas evidence of the validityof that perspective. Itis clear,however, that most of the perspectives that currently guide researchare not trulycompetitive,such that support for one underminesanother.Instead,they are more likely simplyto be applicableunderdifferentconditions,as was the case inthis study. 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