RD人员个体变量与专利产出效率关系研究

上海交通大学硕士学位论文R&D人员个体变量与专利产出效率关系研究姓名：吴晓丹申请学位级别：硕士专业：企业管理指导教师：陈德智20080101R&DVR&DR&DR&DR&DR&DR&DR&DR&DR&DVIR&DR&DR&D123R&DR&DR&DVIIR&DPERSONNEL’SINDIVIDUALVARIABLESANDPATENTOUTPUTEFFICIENCYABSTRACTWiththeadventoftheknowledge-basedeconomyera,technologicalinnovationhasreplacedcapitalinvestmentandlaborinputsandbecomethemaindrivingforceofeconomicgrowth.Atthesametime,patentoutputhasbecometheprimarymeasurementofinnovationproductivityofacountryordistrict.Theexistingliteratureabouttheimpactingfactorsofinnovationproductivityhasmainlyfocusedonorganizationalenvironment,performanceevaluationandincentivemechanism.OtherfactorsofR&Dpersonnel’sindividualvariablessuchasage,gender,training,etcwasalsoinvolved,butathroughstudyontheR&Dinput-outputefficiencyfromtheangleofR&Dhumanresourceinputstructureisabsent.Inthispaper,weuseasampledataofR&Dpersonnelcoveringalltheindustriesandregionsofthecountrytoresearchtheindividualvariable’simpactonthepatentoutputefficiencyanditsmechanism,basedonacomprehensivereviewondomesticandinternationalliteratures.Onthisbasis,wecomparetheimportanceorderoftheindividualvariablesthroughorthogonalanalysis,andconcludethateducationtitleage.Accordingtothat,wegivesuggestionsofidentifyingandencouragingtheefficientpatentproducertothepolicymakersandR&Dorganizationmanagers.ThispaperwillfullyintegratetheobservablevariablesofR&Dpersonnel’sindividuallevel(suchasage,education,jobtitle,industry,gender,organizationalattributes)intotheanalysistolookattheinfluenceofthesevariablesonthenumberofpatentoutputefficiency.Thefulltextisdividedintofiveparts:Chapteroneisanintroductionofthestudybackground,purpose,significance,aswellasthecontentandmethodsofthisresearch.R&DVIIIChaptertworeviewstherelateddomesticandinternationalliteraturesontheinfluencefactorsofinnovationproductivity,inparticulartheR&Dstaffindividualvariables’impactonpatentproductivity.Basedonthatandthesampledata,wedeterminethestudyscopeofindividualvariables,includingage,education,jobtitle,industry,genderandorganizationalattributes.Chapterthreeresearchesseparateimpactofparticularindividualvariableonpatentoutputefficiency.Throughqualitativeandquantitativeanalysisofeachindividualvariable’simpactonpatentoutputefficiency,wearetryingtovalidatethesixhypothesespresentedinChapterthree.Chapterfourresearchesthecomprehensiveimpactofdifferentindividualvariablesonpatentoutputefficiency.Basedontheconclusionsofpreviouschapter,weuseanorthogonalanalysistoidentifytheimportanceorderoftheindividualvariableswhichhavenotableimpactonpatentoutputefficiencyintheseparatelevel,andconcludethatindustryeducationtitleage.Chapterfiveistheconclusionanddiscussionpart,whichlistsmajorfindingsanddiscussthevalueandinnovationofthisstudy.Andwealsogiveadviceonfutureresearchonthissubject.Atlast,wefindthateducation,title,ageandindustryarethosevariableswhichhavenotableimpactonR&Dpersonnel’spatentoutputefficiency.Andtheimpactingsignificanceorderisasfollows:industriesqualificationstitleage.Asaresult,themostefficientpatentproducersarethoseR&Dpersonnelwhoworkinthehigh-techindustry,suchasinformationtechnologyorbiotechnologyindustry;orwhohavethecharacteristicsintheorderbelow:(1)haveanabove-bachelordegree;(2)haveaprofessionaltitle;(3)andsmallerinage.KEYWORDS:R&DPersonnel,R&DManagement,PatentOutputEfficiencyR&DIIR&DIIIR&D111.1R&DR&D2006OEMR&D21[1]1.1.1[2]R&D22006630052006190%299%99%31/3[3]2/380%1.1.2R&D2006R&D82000R&DR&DR&D3R&D/GDPR&DR&D2005R&D/GDP2.34%R&D2004R&D115.2622004R&D3289R&D327280%90%R&DIT15%8%2%R&D15%IT30%8-12%R&D70-80%70-80%30R&D70%50%30-40R&DR&DR&D10%R&DR&DR&DR&D100R&DR&DDEAR&D4Cobb-DouglasR&D[4]R&DR&DR&D[5]R&DR&DR&DR&DR&D1.2R&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&D5R&DR&D1.31.3.1R&D20062004-20051210R&DPCT54701R&D1R&D2R&D2R&D3R&D4R&D5R&D6R&DR&D6R&DR&DOLSR&D1.3.21-1R&D71-1Figure1-1StudyFrameofThesis1.3.3R&DR&D20062004-20051210PCT5470ExcelEViewsExcelR&DEViewsOLSR&D8R&DR&D922.12.1.12010R&D[6]1002060R&D[7][8]R&D10R&DWTOGATT2.1.2[9][10][11]R&D[12]R&DR&DR&D[13][14]R&D11[15]2.1.3100R&DStephan[16]R&DR&DR&D[17][18][19][20][21[22]R&DBonaccorsiDaraio[23][24]R&D12Sundgren[25]86%R&D[26]NarinBreitzman[27]R&D[28]43R&DR&DR&DCarayol[29]R&DR&DMarianiRomanelli[30]7931EPO23R&D132.21960[31]-R&DR&DR&DR&DR&DR&D[32]R&DR&DR&D[33]Moehrle[34]R&DR&DR&DR&D[35][36][37][38][39][40][41]R&D142.2.1R&D18292624[42][43]LevinStephan[44]R&DR&DR&DR&DLevinStephan4412R&DR&D15[45]NBER20620R&D20R&D20R&DR&D162.2.2R&D[46]R&DMarianiRomanelli793EPO2.2.3R&DR&D16CarayolMatt[47]1000Fox[48]R&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&D2.2.4R&DLevinStephanR&D(44)HensekeTivig[49]R&DR&D17R&DR&DR&DR&DR&D2.2.5R&DR&D(172728)R&DR&DR&DR&DR&D2.2.6R&DR&DR&D18R&DR&DR&D17,39,492.3R&DR&DR&DR&DR&DR&DR&DR&DR&DR&DR&D1933.13.1.120062004-20051210PCT5470OLSR&DPCTITR&D20PCTPCTPCTPCTPCT