challenges & opportunies in public management research...
TRANSCRIPT
Challenges&Opportuni2esinPublicManagementResearch:LessonsLearnedfromaNa2onalStudyofTechnologyinLocalGovernment
MaryK.FeeneyAssociateProfessorandLincolnProfessorofEthicsinPublicAffairsAssociateDirector|CenterforScience,[email protected]@mkfeeneyASU
Maxwell School, PhD Colloquium
MaryK.FeeneyAssociateProfessorandLincolnProfessorofEthicsinPublicAffairsAssociateDirector,CenterforScience,Technology,andEnvironmentalPolicyStudiesSchoolofPublicAffairsArizonaStateUniversity
ResearchAreasPublicManagement
SectordisHncHons,mentoring,nonprofitmanagement,redtape,e-governmentScience&TechnologyPolicy
Womeninscience,mentoring,collaboraHvenetworks,evaluaHon,e-government
About me
“Ifweknewwhatitwasweweredoing,itwouldnotbecalledresearch,wouldit?”
I. Paper: Aresmallci8esonline?Content,ranking,andvaria8onofU.S.municipalwebsites
II. National Study of Local Governments
III. Discussion of Public Management Research
part I: Aresmallci8esonline?Content,ranking,andvaria8onofU.S.municipalwebsites
Most e-government research focuses on - Federal government - Single states - Large cities
Are Small Cities Online?
(Bearfield & Bowman, 2016; Mossberger & Wu, 2012; Youngblood & Mackiewicz, 2012; West 2008)
Small cities are less likely to be online - Less technological infrastructure - Less expertise - Fewer resources - Fewer incentives - Fewer mandates
Are Small Cities Online?
I. Paper: Aresmallci8esonline?Content,ranking,andvaria8onofU.S.municipalwebsites
II. National Study of Local Governments
III. Discussion of Public Management Research
1. To what extent are small cities online?
2. How has this changed from 2010 to 2014, if at all?
3. Is there variation across cities? And if so, what explains that variation?
Research Questions
part II: Na8onalStudyofTechnologyinLocalGovernments
National study of technology use in 500 US municipalities, population 25,000-250,000
Surveying 5 department heads in each city:
Mayor’s Office Community Development Finance Parks & Recreation Police
Surveys in 2010, (2011), 2012, 2014, & 2016 Website coding in 2010 & 2014
The survey data have been used across years, by function, & paired with Census data, city finance data, & website codes
part I: Aresmallci8esonline?Content,ranking,andvaria8onofU.S.municipalwebsites
1. To what extent are small cities online?
2. How has this changed from 2010 to 2014, if at all?
3. Is there variation across cities? And if so, what explains that variation?
Research Questions
Most common city website features 2010 & 2014
CouncilAgenda 478IndexofLaw/CityCode 473Mayor'scontactinfo 469OnlineListofJobs 469SearchBar 453VoHngInformaHon 394PaymentTransacHon 351PrivacyStatement 297VoHngRegistraHon 294CouncilMeeHngVideos 267OnlineJobApplicaHons 229Facebook 220RSSFeed 218Twi_er 215RecreaHonOnlineRegistraHon 209DistrictMaps 191SearchProvider 172SiteContractor 156MajorSpeech 143PoliceReportSubmission 132NonEnglishTranslaHon 106YouTube 102EmployeeDirectory 87DepartmentDescrip2ons 71Mayor'sBlog 58PageDate 32
IndexofLaw/CityCode 484CouncilAgenda 477Mayor'scontactinfo 469SearchBar 467OnlineJobApplica2ons 466PaymentTransacHon 426VoHngInformaHon 380Facebook 370CouncilMeeHngVideos 350Twi_er 350VoHngRegistraHon 312PrivacyStatement 285OnlineListofJobs 276RecreaHonOnlineRegistraHon 275DistrictMaps 245RSSFeed 234SiteContractor 226PoliceReportSubmission 219NonEnglishtranslaHon 199YouTube 195MajorSpeech 178EmployeeDirectory 150SearchProvider 146DepartmentDescrip2ons 124Mayor'sBlog 53PageDate 182010 2014
Ranking of cities with most website features 2010 & 2014
Change in city website features 2010 & 2014
Change in city website features 2010 to 2014
OnlineJobApplicaHons 237Facebook 150Twi_er 135NonEnglishtranslaHon 93YouTube 93PoliceReportSubmission 87CouncilMeeHngVideos 83PaymentTransacHon 75SiteContractor 70RecreaHonOnlineRegistraHon 66EmployeeDirectory 63DistrictMaps 54DepartmentDescripHons 53
MajorSpeech 35VoHngRegistraHon 18RSSFeed 16SearchBar 14IndexofLaw/CityCode 11Mayor'scontactinfo 0CouncilAgenda -1Mayor'sBlog -5PrivacyStatement -12VoHngInformaHon -14PageDate -14SearchProvider -26OnlineListofJobs -193
What explains variation in city website features?
population (+)
form of government ( )
technical capacity (+)
ICT Adoption: Predictors
centralization (-) work routineness (-) personnel constraints (-) risk-taking (+) external stakeholder influence (+) external site provider (+)
ICT Variation: Predictors
What are the limitations & contributions of this paper?
- Baseline, generalizable information
- We still lack data on website quality
- Importance of political factors
- Importance of external providers
- Change in rank is fast
For Researchers
- Most common features are basic
- Many sites lack of basic information
- Need for active, online sites
- Low capacity for active, online sites
- Potential market for providers
For Practitioners
part III: Public Management Research
Our research assesses managerial roles in technology adoption & use, with a smattering of other management topics
Findings include knowledge about ICT adoption, managerial roles, barriers & determinants of technology adoption & use
Findings also contribute to research on work life balance, citizen participation in decision making, diversity in orgs, person-organization fit, & red tape measurement
Outputs include more than 25 publications, 5 dissertations, 6 international presentations, 4 annual reports, & at least 22 collaborators
ChallengesOpportunities
ChallengesOpportunities - Surveys - Cross-sectional data - Managerial focus - Funding
ChallengesOpportunities
Interested, Interesting, Doable
Learn more about this work at: https://csteps.asu.edu/ Email: [email protected] Twitter: @mkfeeneyASU Request papers at Research Gate
Disserta2onsAdrianBrown:E-Government:EnablingEngagementorReinforcingTradiHonRashmiKrishnamurthy:UseofsocialmediaforinternalandexternalcollaboraHon:EvidencefromUSlocalgovernments,2016GustavoOliveira:UseofsocialmediaforciHzenengagementbylocalgovernmentsintheUS,2014
PapersFusi,Federica,andFeeneyMK.Accepted.SocialMediaintheWorkplace:InformaHonExchange,ProducHvity,orWaste?AmericanReviewofPublicAdministra8onGrimmelikhuisen,SG,andFeeneyMK.Accepted.DevelopingandtesHnganintegraHveframeworkforopengovernmentadopHoninlocalgovernments.PublicAdministra8onReview.Welch,EW,Feeney,MK,andPark,ChulHyun.accepted.DeterminantsofdatasharinginU.S.citygovernments.GovernmentInforma8onQuarterlydoi:10.1016/j.giq.2016.07.002Wang,Shu,andM.K.Feeney.2016.DeterminantsofinformaHonandcommunicaHontechnologyuseinmunicipaliHes.AmericanReviewofPublicAdministra8on46(3)292-313.October19,2014.DOI:10.177/0275074014553462Feeney,M.K.,andE.W.Welch.2016.Technology-TaskCoupling:ExploringSocialMediaUseandManagerialPercepHonsofE-Government.AmericanReviewofPublicAdministra8on46(2):162-179.August202014.10.1177/0275074014547413
PapersHuang,Wan-Ling,andM.K.Feeney.2015.CiHzenparHcipaHoninlocalgovernmentdecision-making:TheroleofmanagermoHvaHon.ReviewofPublicPersonnelAdministra8on.March162015.doi:10.1177/0734371X15576410Feeney,M.K.andJulieLanger.2015.GemngAheadinthePublicSector:PercepHonsofManagersinUSMunicipaliHes.AmericanReviewofPublicAdministra8on.February8,2015,doi:10.1177/0275074015570037Welch,E.W.,andFeeney,M.K.2014.Technologyingovernment:HoworganizaHonalculturemediatesinformaHonandcommunicaHontechnologyoutcomes.GovernmentInforma8onQuarterly13:506-512..1-OCT-2014Li,Meng-Hao,andM.K.Feeney.(2014).AdopHonofelectronictechnologiesinU.S.localgovernments:DisHnguishingbetweene-servicesandcommunicaHontechnologies.AmericanReviewofPublicAdministra8on.44(1):75-91.Feeney,M.K.andE.W.Welch.2013.ImplemenHnginformaHonandcommunicaHontechnologies(ICTs)inpublicorganizaHons:ThemediaHngeffectsoforganizaHonrouHnenessandcentralizaHononICTandmanagerialoutcomes.Proceedingsofthe14InternaHonalDigitalGovernmentResearch.Pages38-45.ISBN:978-1-4503-2057-3.
PapersFeeney,M.K.(2012).OrganizaHonalredtape:Ameasurementexperiment.JournalofPublicAdministra8onResearch&Theory.22(3):427-444.10.1093/jopart/mus002Feeney,M.K.andE.W.Welch.(2012).ElectronicparHcipaHontechnologiesandperceivedoutcomesforlocalgovernmentmanagers.PublicManagementReview.14(6):815-833.DOI:10.1080/14719037.2011.642628.Welch,E.W.,andYavuz,N.(forthcoming).FactorsAffecHngOpennessofLocalGovernmentWebsites:ExaminingtheDifferencesacrossPlanning,FinanceandPoliceDepartments.GovernmentInforma8onQuarterly.deOliveira,G.andWelch,E.W.(2013).SocialMediaUseinLocalGovernment:LinkageofTechnology,Task,andOrganizaHonalContext.GovernmentInforma8onQuarterly.30(4):397-405Grimmelikhuijsen,S.,andWelch,E.W.(2012).FactorsDeterminingtheTransparencyofAirPolluHonInformaHon?:FactorsaffecHngInternetinformaHontransparencyoflocalgovernment.PublicAdministra8onReview,72(4):562-571.Welch,E.W.(2012).TheRelaHonshipBetweenTransparentandParHcipatoryGovernment:AStudyofLocalGovernmentsintheUnitedStates.Interna8onalReviewofAdministra8veSciences,78(1):93-115.