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A Framework for the Assessment of Research and Its Impacts

   | Dec 29, 2017

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Abramovitz, M. (1956). Resource and output trends in the United States since 1870. The American Economic Review, 46(2), 5–23.AbramovitzM.1956Resource and output trends in the United States since 1870The American Economic Review46252310.1017/CBO9780511664656.005Search in Google Scholar

Acemoglu, D., Aghion, P., & Zilibotti, F. (2003). Vertical integration and distance to frontier. Journal of the European Economic Association, 1(2–3), 630–638.10.1162/154247603322391260AcemogluD.AghionP.ZilibottiF.2003Vertical integration and distance to frontierJournal of the European Economic Association12–3630638Open DOISearch in Google Scholar

Acemoglu, D., Aghion, P., & Zilibotti, F. (2006). Distance to frontier, selection, and economic growth. Journal of the European Economic Association, 4(1), 37–74.10.1162/jeea.2006.4.1.37AcemogluD.AghionP.ZilibottiF.2006Distance to frontier, selection, and economic growthJournal of the European Economic Association413774Open DOISearch in Google Scholar

Adams, J.D. (1990). Fundamental stocks of knowledge and productivity growth. Journal of Political Economy, 98(4), 673–702.10.1086/261702AdamsJ.D.1990Fundamental stocks of knowledge and productivity growthJournal of Political Economy984673702Open DOISearch in Google Scholar

Agarwal, R., & Dhar, V. (2014). Editorial big data, data science, and analytics: The opportunity and challenge for IS research. Information Systems Research, 25(3), 443–448.10.1287/isre.2014.0546AgarwalR.DharV.2014Editorial big data, data science, and analytics: The opportunity and challenge for IS researchInformation Systems Research253443448Open DOISearch in Google Scholar

Aghion, P. (2009). Growth and education. Commission on growth and development working paper, no. 56. Washington, DC: World Bank Publications.AghionP.2009Growth and educationCommission on growth and development working paper, no. 56Washington, DCWorld Bank PublicationsSearch in Google Scholar

Aghion, P., & Howitt, P. (2009). The economics of growth. Cambridge, MA: The MIT Press.AghionP.HowittP.2009The economics of growthCambridge, MAThe MIT PressSearch in Google Scholar

Aghion, P., David, P.A., & Foray, D. (2009). Science, technology and innovation for economic growth: Linking policy research and practice in ‘STIG Systems’. Research Policy, 38(4), 681–693.10.1016/j.respol.2009.01.016AghionP.DavidP.A.ForayD.2009Science, technology and innovation for economic growth: Linking policy research and practice in ‘STIG Systems’Research Policy384681693Open DOISearch in Google Scholar

Anderson C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired Magazine. Retrieved on July 30, 2017, from https://www.wired.com/2008/06/pb-theory/.AndersonC.2008The end of theory: The data deluge makes the scientific method obsoleteWired MagazineRetrieved on July 30, 2017https://www.wired.com/2008/06/pb-theory/Search in Google Scholar

Antonelli, C., & Link, A.N. (2014). Routledge handbook of the economics of knowledge. London: Routledge.AntonelliC.LinkA.N.2014Routledge handbook of the economics of knowledgeLondonRoutledge10.4324/9780203082324Search in Google Scholar

Audretsch, D.B., Bozeman, B., Combs, K.L., Feldman, M., Link, A.N., Siegel, D.S., ... & Wessner, C. (2002). The economics of science and technology. The Journal of Technology Transfer, 27(2), 155–203.10.1023/A:1014382532639AudretschD.B.BozemanB.CombsK.L.FeldmanM.LinkA.N.SiegelD.S.WessnerC.2002The economics of science and technologyThe Journal of Technology Transfer272155203Open DOISearch in Google Scholar

Bădin, L., Daraio, C., & Simar, L. (2012). How to measure the impact of environmental factors in a nonparametric production model. European Journal of Operational Research, 223(3), 818–833.10.1016/j.ejor.2012.06.028BădinL.DaraioC.SimarL.2012How to measure the impact of environmental factors in a nonparametric production modelEuropean Journal of Operational Research2233818833Open DOISearch in Google Scholar

Bădin, L., Daraio, C., & Simar, L. (2014). Explaining inefficiency in nonparametric production models: The state of the art. Annals of Operations Research, 214(1), 5–30.10.1007/s10479-012-1173-7BădinL.DaraioC.SimarL.2014Explaining inefficiency in nonparametric production models: The state of the artAnnals of Operations Research2141530Open DOISearch in Google Scholar

Ballard, B.W. (2000). Understanding MacIntyre. Lanham, MD: University Press of America.BallardB.W.2000Understanding MacIntyreLanham, MDUniversity Press of AmericaSearch in Google Scholar

Bammer, G. (2016). What constitutes appropriate peer review for interdisciplinary research? Palgrave Communications, 2 (palcomms201617). Retrieved on July 30, 2017, from http://www.nature.com/articles/palcomms201617.BammerG.2016What constitutes appropriate peer review for interdisciplinary research?Palgrave Communications2 (palcomms201617). Retrieved on July 30, 2017http://www.nature.com/articles/palcomms20161710.1057/palcomms.2016.17Search in Google Scholar

Barré, R. (2004). S&T indicators for policy making in a changing science–society relationship. In H. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of Quantitative Science and Technology Research (pp. 115–132). Dordrecht: Springer Netherlands.BarréR.2004S&T indicators for policy making in a changing science–society relationshipMoedH.GlänzelW.SchmochU.Handbook of Quantitative Science and Technology Research115132Dordrecht: Springer Netherlands10.1007/1-4020-2755-9_6Search in Google Scholar

Batini, C., & Scannapieco, M. (2016). Data and information quality. Cham, Switzerland: Springer International Publishing.BatiniC.ScannapiecoM.2016Data and information qualityChamSwitzerlandSpringer International Publishing10.1007/978-3-319-24106-7Search in Google Scholar

Benessia, A., Funtowicz, S., Giampietro, M., Pereira, Â.G., Ravetz, J., Saltelli, A., ... & van der Sluijs, J.P. (2016). Science on the verge. Tempe, AZ: Consortium for Science, Policy, & Outcomes at Arizona State University.BenessiaA.FuntowiczS.GiampietroM.PereiraÂ.G.RavetzJ.SaltelliA.van der SluijsJ.P.2016Science on the vergeTempe, AZConsortium for Science, Policy, & Outcomes at Arizona State UniversitySearch in Google Scholar

Blaug, M. (1966). Economics of education; a selected annotated bibliography (No. 370.193 B5). Retrieved on July 30, 2017, from http://www.sciencedirect.com/science/article/pii/B9780080206271500025.BlaugM.1966Economics of educationa selected annotated bibliography(No. 370.193 B5). Retrieved on July 30, 2017http://www.sciencedirect.com/science/article/pii/B978008020627150002510.1016/0738-0593(87)90050-2Search in Google Scholar

Bogetoft, P., Fried, H.O., & Eeckaut, P.V. (2007). The university benchmarker: An interactive computer approach. In A. Bonaccorsi, & C. Daraio (Eds.), Universities and Strategic Knowledge Creation: Specialization and Performance in Europe (pp. 443–462). Cheltenham: Edward Elgar Publishing.BogetoftP.FriedH.O.EeckautP.V.2007The university benchmarker: An interactive computer approachBonaccorsiA.DaraioC.Universities and Strategic Knowledge Creation: Specialization and Performance in Europe443462CheltenhamEdward Elgar PublishingSearch in Google Scholar

Bonaccorsi, A., & Daraio, C. (2004). Econometric approaches to the analysis of productivity of RD systems. Production functions and production frontiers. In H.F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of Quantitative Science and Technology Research (pp. 51–74). Dordrecht: Springer Netherlands.BonaccorsiA.DaraioC.2004Econometric approaches to the analysis of productivity of RD systems. Production functions and production frontiersMoedH.F.GlänzelW.SchmochU.Handbook of Quantitative Science and Technology Research5174DordrechtSpringer Netherlands10.1007/1-4020-2755-9_3Search in Google Scholar

Borgman, C.L. (2015). Big data, little data, no data: Scholarship in the networked world. Cambridge, MA: The MIT Press.BorgmanC.L.2015Big data, little data, no dataScholarship in the networked worldCambridge, MAThe MIT Press10.7551/mitpress/9963.001.0001Search in Google Scholar

Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society for Information Science and Technology, 64(2), 217–233.10.1002/asi.22803BornmannL.2013What is societal impact of research and how can it be assessed? A literature surveyJournal of the American Society for Information Science and Technology642217233Open DOISearch in Google Scholar

Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological Forecasting and Social Change, 80(8), 1513–1522.10.1016/j.techfore.2013.03.002BorrásS.EdquistC.2013The choice of innovation policy instrumentsTechnological Forecasting and Social Change80815131522Open DOISearch in Google Scholar

Bozeman, B., & Melkers, J. (Eds). (1993). Evaluating R&D impacts: Methods and practice. New York: Springer.BozemanB.MelkersJ.1993Evaluating R&D impactsMethods and practiceNew YorkSpringer10.1007/978-1-4757-5182-6Search in Google Scholar

Brunsson, N., & Jacobsson, B. (Eds.). (2002a). A world of standards. Oxford: Oxford University Press.BrunssonN.JacobssonB.2002aA world of standardsOxfordOxford University Press10.1093/acprof:oso/9780199256952.001.0001Search in Google Scholar

Brunsson, N., & Jacobsson, B. (2002b). The pros and cons of standardization—An epilogue. In A World of Standards (pp. 169–173). Oxford: Oxford University Press.BrunssonN.JacobssonB.2002bThe pros and cons of standardization—An epilogueIn A World of Standards169173OxfordOxford University Press10.1093/acprof:oso/9780199256952.003.0012Search in Google Scholar

Capano, G., Howlett, M., & Ramesh, M. (Eds.). (2015). Varieties of governance. Hampshire, UK: Palgrave Macmillan.CapanoG.HowlettM.RameshM.2015Varieties of governanceHampshire, UKPalgrave Macmillan10.1057/9781137477972Search in Google Scholar

Carayannis, E.G., & Campbell, D.F. (2009). ‘Mode 3’ and ‘Quadruple Helix’: Toward a 21stcentury fractal innovation ecosystem. International Journal of Technology Management, 46(3–4), 201–234.10.1504/IJTM.2009.023374CarayannisE.G.CampbellD.F.2009‘Mode 3’ and ‘Quadruple Helix’: Toward a 21stcentury fractal innovation ecosystemInternational Journal of Technology Management463–4201234Open DOISearch in Google Scholar

Checchi, D. (2006). The economics of education: Human capital, family background and inequality. Cambridge: Cambridge University Press.ChecchiD.2006The economics of education: Human capitalfamily background and inequalityCambridgeCambridge University Press10.1017/CBO9780511492280Search in Google Scholar

Chen, C.M., Delmas, M.A., & Lieberman, M.B. (2015). Production frontier methodologies and efficiency as a performance measure in strategic management research. Strategic Management Journal, 36(1), 19–36.10.1002/smj.2199ChenC.M.DelmasM.A.LiebermanM.B.2015Production frontier methodologies and efficiency as a performance measure in strategic management researchStrategic Management Journal3611936Open DOISearch in Google Scholar

Chesbrough, H. (2012). Open innovation: Where we’ve been and where we’re going. Research-Technology Management, 55(4), 20–27.ChesbroughH.2012Open innovation: Where we’ve been and where we’re goingResearch-Technology Management554202710.5437/08956308X5504085Search in Google Scholar

Cohen, W.M., & Levinthal, D.A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.10.2307/2393553CohenW.M.LevinthalD.A.1990Absorptive capacity: A new perspective on learning and innovationAdministrative Science Quarterly351128152Open DOISearch in Google Scholar

Creswell, J.W., & Clark, V.L.P. (Eds.). (2011). 2nd Ed. Designing and conducting mixed methods research. Thousand Oaks, CA: SAGE Publications.CreswellJ.W.ClarkV.L.P.20112ndDesigning and conducting mixed methods researchThousand Oaks, CASAGE PublicationsSearch in Google Scholar

Cronin, B. (2013). Thinking about data. Journal of the American Society for Information Science and Technology, 64(3), 435–436.10.1002/asi.22928CroninB.2013Thinking about dataJournal of the American Society for Information Science and Technology643435436Open DOISearch in Google Scholar

Cronin, B., & Sugimoto, C.R. (Eds.). (2014). Beyond bibliometrics: Harnessing multidimensional indicators of scholarly impact. Cambridge, MA: The MIT Press.CroninB.SugimotoC.R.2014Beyond bibliometricsHarnessing multidimensional indicators of scholarly impactCambridge, MAThe MIT Press10.7551/mitpress/9445.001.0001Search in Google Scholar

Cronin, B., & Sugimoto, C.R. (Eds.). (2015). Scholarly metrics under the microscope: From citation analysis to academic auditing. Medford, NJ: Information Today.CroninB.SugimotoC.R.2015Scholarly metrics under the microscopeFrom citation analysis to academic auditingMedford, NJInformation TodaySearch in Google Scholar

D’Ariano, G.M., & Perinotti, P. (2016). Quantum theory is an information theory. Foundations of Physics, 46(3), 269–281.10.1007/s10701-015-9935-0D’ArianoG.M.PerinottiP.2016Quantum theory is an information theoryFoundations of Physics463269281Open DOISearch in Google Scholar

Dahler-Larsen, P. (2012). The evaluation society. California: Stanford University Press.Dahler-LarsenP.2012The evaluation societyCaliforniaStanford University Press10.1515/9780804778121Search in Google Scholar

Daraio, C. (2015). Assessing the efficiency, effectiveness and impact of education in the age of big data: Challenges and a way forward. Keynote presentation at Leuven LEER Workshop ‘Efficiency in Education and the Use of Big Data’, November 19–20, 2015, Leuven (Belgium).DaraioC.2015Assessing the efficiency, effectiveness and impact of education in the age of big dataChallenges and a way forward. Keynote presentation at Leuven LEER Workshop ‘Efficiency in Education and the Use of Big Data’November 19–202015Leuven (Belgium)Search in Google Scholar

Daraio, C. (2017a). Assessing research and its impacts: The generalized implementation problem and a doubly-conditional performance evaluation model, paper presented at the ISSI 2017 Conference, October 2017, Wuhan (China).DaraioC.2017aAssessing research and its impacts: The generalized implementation problem and a doubly-conditional performance evaluation modelpaper presented at the ISSI 2017 ConferenceOctober2017Wuhan (China)Search in Google Scholar

Daraio, C. (2017b). A doubly conditional performance evaluation model, the democratization of evaluation and altmetrics, paper presented at the STI 2017 Conference, September 2017, Paris.DaraioC.2017bA doubly conditional performance evaluation model, the democratization of evaluation and altmetricspaper presented at the STI 2017 ConferenceSeptember2017ParisSearch in Google Scholar

Daraio, C. (in press). Econometric approaches to the measurement of research productivity. In W. Glänzel, H.F. Moed, H. Schmoch, & M. Thelwall (Eds.), Springer Handbook of Science and Technology Indicators.DaraioC.(in press)Econometric approaches to the measurement of research productivityGlänzelW.MoedH.F.SchmochH.ThelwallM.Springer Handbook of Science and Technology IndicatorsSearch in Google Scholar

Daraio, C., & Simar, L. (2014). Directional distances and their robust versions: Computational and testing issues. European Journal of Operational Research, 237(1), 358–369.10.1016/j.ejor.2014.01.064DaraioC.SimarL.2014Directional distances and their robust versions: Computational and testing issuesEuropean Journal of Operational Research2371358369Open DOISearch in Google Scholar

Daraio, C., & Simar, L. (2007). Advanced robust and nonparametric methods in efficiency analysis. Methodology and applications. New York: Springer.DaraioC.SimarL.2007Advanced robust and nonparametric methods in efficiency analysisMethodology and applicationsNew YorkSpringerSearch in Google Scholar

Daraio, C., Simar, L., & Wilson, P.W. (2017). Central limit theorems for conditional efficiency measures and tests of the “separability” condition in nonparametric two-stage models of production. The Econometrics Journal. Retrieved on July 30, 2017, from https://doi.org/10.1111/ectj.12103.DaraioC.SimarL.WilsonP.W.2017Central limit theorems for conditional efficiency measures and tests of the “separability” condition in nonparametric two-stage models of productionThe Econometrics JournalRetrieved on July 30, 2017https://doi.org/10.1111/ectj.1210310.1111/ectj.12103Search in Google Scholar

Daraio, C., & Glänzel, W. (2016). Grand challenges in data integration—state of the art and future perspectives: An introduction. Scientometrics, 108 (1), 391–400.10.1007/s11192-016-1914-5DaraioC.GlänzelW.2016Grand challenges in data integration—state of the art and future perspectives: An introductionScientometrics1081391400Open DOISearch in Google Scholar

Daraio, C., Lenzerini, M., Leporelli, C., Moed, H.F., Naggar, P., Bonaccorsi, A., & Bartolucci, A. (2016a). Data integration for research and innovation policy: An ontology-based data management approach. Scientometrics, 106(2), 857–871.10.1007/s11192-015-1814-0DaraioC.LenzeriniM.LeporelliC.MoedH.F.NaggarP.BonaccorsiA.BartolucciA.2016aData integration for research and innovation policy: An ontology-based data management approachScientometrics1062857871Open DOISearch in Google Scholar

Daraio, C., Lenzerini, M., Leporelli, C., Naggar, P., Bonaccorsi, A., & Bartolucci, A. (2016b). The advantages of an Ontology-Based Data Management approach: Openness, interoperability and data quality. Scientometrics, 108 (1), 441–455.10.1007/s11192-016-1913-6DaraioC.LenzeriniM.LeporelliC.NaggarP.BonaccorsiA.BartolucciA.2016bThe advantages of an Ontology-Based Data Management approach: Openness, interoperability and data qualityScientometrics1081441455Open DOISearch in Google Scholar

Debackere, K. (2016). Let the data speak for themselves: Opportunities and caveats. Journal of Data and Information Science, 1(1), 3–5.DebackereK.2016Let the data speak for themselves: Opportunities and caveatsJournal of Data and Information Science113510.20309/jdis.201602Search in Google Scholar

DeMillo, R.A., & Young, A.J. (2015). Revolution in higher education: How a small band of innovators will make college accessible and affordable. Cambridge, MA: The MIT Press.DeMilloR.A.YoungA.J.2015Revolution in higher educationHow a small band of innovators will make college accessible and affordableCambridge, MAThe MIT PressSearch in Google Scholar

Ding, Y., Rousseau, R., & Wolfram, D. (Eds). (2014). Measuring scholarly impact. Cham, Switzerland: Springer International Publishing.DingY.RousseauR.WolframD.2014Measuring scholarly impactCham, SwitzerlandSpringer International Publishing10.1007/978-3-319-10377-8Search in Google Scholar

Ding, Y., & Stirling, K. (2016). Data-driven discovery: A new era of exploiting the literature and data. Journal of Data and Information Science, 1(4), 1–9.10.20309/jdis.201622DingY.StirlingK.2016Data-driven discovery: A new era of exploiting the literature and dataJournal of Data and Information Science1419Open DOISearch in Google Scholar

Drucker, P.F. (1967). The effective executive. New York: Harper and Row.DruckerP.F.1967The effective executiveNew YorkHarper and RowSearch in Google Scholar

Ebrahim, A., & Rangan, V.K. (2014). What impact? California Management Review, 56(3), 118–141.EbrahimA.RanganV.K.2014What impact?California Management Review56311814110.1525/cmr.2014.56.3.118Search in Google Scholar

Edquist, C. (2001). The systems of innovation approach and innovation policy: An account of the state of the art. In Druid Nelson and Winter Conference 2001 (pp. 12–15). Denmark: Aalborg University.EdquistC.2001The systems of innovation approach and innovation policy: An account of the state of the artIn Druid Nelson and Winter Conference 20011215DenmarkAalborg UniversitySearch in Google Scholar

Edwards, P.N., Jackson, S.J., Chalmers, M.K., Bowker, G.C., Borgman, C.L., Ribes, D., … & Calvert, S. (2013). Knowledge infrastructures: Intellectual frameworks and research challenges (p. 40). Ann Arbor, MI: University of Michigan. Retrieved on July 30, 2017, from http://deepblue.lib.umich.edu/handle/2027.42/97552.EdwardsP.N.JacksonS.J.ChalmersM.K.BowkerG.C.BorgmanC.L.RibesD.CalvertS.2013Knowledge infrastructuresIntellectual frameworks and research challenges40Ann Arbor, MIUniversity of MichiganRetrieved on July 30, 2017http://deepblue.lib.umich.edu/handle/2027.42/97552Search in Google Scholar

Egghe, L., & Rousseau, R. (1990). Introduction to informetrics: Quantitative methods in library, documentation and information science. Amsterdam: Elsevier.EggheL.RousseauR.1990Introduction to informetrics: Quantitative methods in librarydocumentation and information scienceAmsterdamElsevierSearch in Google Scholar

Egghe, L. (2005). Power laws in the information production process: Lotkaian informetrics. Amsterdam: Elsevier.EggheL.2005Power laws in the information production processLotkaian informetricsAmsterdamElsevier10.1108/S1876-0562(2005)05Search in Google Scholar

Ekbia, H., Mattioli, M., Kouper, I., Arave, G., Ghazinejad, A., Bowman, T., … & Sugimoto, C.R. (2015). Big data, bigger dilemmas: A critical review. Journal of the Association for Information Science and Technology, 66(8), 1523–154510.1002/asi.23294EkbiaH.MattioliM.KouperI.AraveG.GhazinejadA.BowmanT.SugimotoC.R.2015Big data, bigger dilemmas: A critical reviewJournal of the Association for Information Science and Technology66815231545Open DOISearch in Google Scholar

Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From national systems and mode 2 to a triple helix of university-industry-government relations. Research Policy, 29(2), 109–123.10.1016/S0048-7333(99)00055-4EtzkowitzH.LeydesdorffL.2000The dynamics of innovation: From national systems and mode 2 to a triple helix of university-industry-government relationsResearch Policy292109123Open DOISearch in Google Scholar

European Commission (2014). Expert Group to support the development of tailor-made impact assessment methodologies for ERA (European Research Area), Brussels, Belgium.European Commission2014Expert Group to support the development of tailor-made impact assessment methodologies for ERA (European Research Area)Brussels, BelgiumSearch in Google Scholar

Fagerberg, J., Martin, B.R., & Andersen, E.S. (Eds.). (2013). Innovation studies: Evolution and future challenges. Oxford: Oxford University Press.FagerbergJ.MartinB.R.AndersenE.S.2013Innovation studiesEvolution and future challengesOxfordOxford University Press10.1093/acprof:oso/9780199686346.001.0001Search in Google Scholar

Fealing, K.H., Lane, J.I., Marburger, J.H. JIII, & Shipp, S.S. (Eds.) (2011). The science of science policy, a handbook. Stanford: Stanford University Press.FealingK.H.LaneJ.I.MarburgerJ.H. JIIIShippS.S.2011The science of science policy, a handbookStanfordStanford University PressSearch in Google Scholar

Floridi, L. (Ed.). (2008). The Blackwell guide to the philosophy of computing and information. Hoboken, NJ: John Wiley & Sons.FloridiL.2008The Blackwell guide to the philosophy of computing and informationHoboken, NJJohn Wiley & Sons10.1002/9780470757017.ch4Search in Google Scholar

Floridi, L. (Ed.). (2010). The Cambridge handbook of information and computer ethics. Cambridge: Cambridge University Press.FloridiL.2010The Cambridge handbook of information and computer ethicsCambridgeCambridge University Press10.1017/CBO9780511845239Search in Google Scholar

Floridi, L. (2012). The road to the philosophy of information. In H. Demir (Eds.), Luciano Floridi’s Philosophy of Technology (pp. 245–271). Dordrecht: Springer Netherlands.FloridiL.2012The road to the philosophy of informationDemirH.Luciano Floridi’s Philosophy of Technology245271DordrechtSpringer Netherlands10.1007/978-94-007-4292-5_13Search in Google Scholar

Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. Oxford: Oxford University Press.FloridiL.2014The fourth revolutionHow the infosphere is reshaping human realityOxfordOxford University PressSearch in Google Scholar

Floridi, L., & Illari, P. (Eds.). (2014). The philosophy of information quality (Vol. 358). Cham, Switzerland: Springer International Publishing.FloridiL.IllariP.2014The philosophy of information quality358Cham, SwitzerlandSpringer International Publishing10.1007/978-3-319-07121-3Search in Google Scholar

Frické, M. (2015). Big data and its epistemology. Journal of the Association for Information Science and Technology, 66 (4), 651–661.10.1002/asi.23212FrickéM.2015Big data and its epistemologyJournal of the Association for Information Science and Technology664651661Open DOISearch in Google Scholar

Frischmann, B.M. (2012). Infrastructure: The social value of shared resources. Oxford: Oxford University Press.FrischmannB.M.2012Infrastructure: The social value of shared resourcesOxfordOxford University Press10.1093/acprof:oso/9780199895656.001.0001Search in Google Scholar

Funtowicz, S.O., & Ravetz, J.R. (1990). Science for policy: Uncertainty and quality. In Uncertainty and Quality in Science for Policy (pp. 7–16). Dordrecht: Springer Netherlands.FuntowiczS.O.RavetzJ.R.1990Science for policy: Uncertainty and qualityIn Uncertainty and Quality in Science for Policy716DordrechtSpringer Netherlands10.1007/978-94-009-0621-1_3Search in Google Scholar

Furner, J. (2014). The ethics of evaluative bibliometrics. In B. Cronin, & C. Sugimoto (Eds.), Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact (pp. 85–107). Cambridge, MA: MIT Press.FurnerJ.2014The ethics of evaluative bibliometricsCroninB.SugimotoC.Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact85107Cambridge, MAMIT PressSearch in Google Scholar

Galán, J.E., Veiga, H., & Wiper, M.P. (2014). Bayesian estimation of inefficiency heterogeneity in stochastic frontier models. Journal of Productivity Analysis, 42(1), 85–101.10.1007/s11123-013-0377-4GalánJ.E.VeigaH.WiperM.P.2014Bayesian estimation of inefficiency heterogeneity in stochastic frontier modelsJournal of Productivity Analysis42185101Open DOISearch in Google Scholar

Georgescu-Roegen, N. (1971). The entropy law and the economic process. Cambridge, MA: Harvard University Press.Georgescu-RoegenN.1971The entropy law and the economic processCambridge, MAHarvard University Press10.4159/harvard.9780674281653Search in Google Scholar

Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P., & Trow, M. (1994). The new production of knowledge: The dynamics of science and research in contemporary societies. London: Sage.GibbonsM.LimogesC.NowotnyH.SchwartzmanS.ScottP.TrowM.1994The new production of knowledgeThe dynamics of science and research in contemporary societiesLondonSageSearch in Google Scholar

Gingras, Y. (2016). Bibliometrics and research evaluation: Uses and abuses. Cambridge, MA: The MIT Press.GingrasY.2016Bibliometrics and research evaluationUses and abusesCambridge, MAThe MIT Press10.7551/mitpress/10719.001.0001Search in Google Scholar

Glänzel, W. (1996). The need for standards in bibliometric research and technology. Scientometrics, 35(2), 167–176.10.1007/BF02018475GlänzelW.1996The need for standards in bibliometric research and technologyScientometrics352167176Open DOISearch in Google Scholar

Glänzel, W., & Schoepflin, U. (1994). Little scientometrics, big scientometrics… and beyond? Scientometrics, 30(2–3), 375–384.10.1007/BF02018107GlänzelW.SchoepflinU.1994Little scientometrics, big scientometrics… and beyond?Scientometrics302–3375384Open DOISearch in Google Scholar

Glänzel, W. (2010). On reliability and robustness of scientometrics indicators based on stochastic models. An evidence-based opinion paper. Journal of Informetrics, 4(3), 313–319.GlänzelW.2010On reliability and robustness of scientometrics indicators based on stochastic modelsAn evidence-based opinion paper. Journal of Informetrics4331331910.1016/j.joi.2010.01.005Search in Google Scholar

Glänzel, W., & Moed, H.F. (2013). Opinion paper: Thoughts and facts on bibliometric indicators. Scientometrics, 96(1), 381–394.10.1007/s11192-012-0898-zGlänzelW.MoedH.F.2013Opinion paper: Thoughts and facts on bibliometric indicatorsScientometrics961381394Open DOISearch in Google Scholar

Glänzel, W., Moed, H.F., Schmoch, H., & Thelwall, M. (Eds). (in press). Springer Handbook of Science and Technology Indicators.GlänzelW.MoedH.F.SchmochH.ThelwallM.(in press)Springer Handbook of Science and Technology IndicatorsSearch in Google Scholar

Godin, B. (2002). Outline for a history of science measurement. Science, Technology, & Human Values, 27(1), 3–27.10.1177/016224390202700101GodinB.2002Outline for a history of science measurementScience, Technology, & Human Values271327Open DOISearch in Google Scholar

Godin, B. (2004). Measurement and statistics on science and technology: 1920 to the present. London: Routledge.GodinB.2004Measurement and statistics on science and technology1920 to the presentLondonRoutledge10.4324/9780203481523Search in Google Scholar

Griliches, Z. (1986). Economic data issues. In Z. Griliches, & M.D. Intriligator (Eds.), Handbook of Econometrics Volume III (pp. 1465–1514). Amsterdam: Elsevier.GrilichesZ.1986Economic data issuesGrilichesZ.IntriligatorM.D.Handbook of Econometrics Volume III14651514AmsterdamElsevier10.1016/S1573-4412(86)03005-2Search in Google Scholar

Griliches, Z. (1994). Productivity, R&D, and the data constraint. American Economic Review, 84(1), 1–23.GrilichesZ.1994Productivity, R&D, and the data constraintAmerican Economic Review84112310.1016/B978-0-7506-7009-8.50019-7Search in Google Scholar

Griliches, Z. (1998). R&D and productivity: The econometric evidence. Chicago: University of Chicago Press.GrilichesZ.1998R&D and productivityThe econometric evidenceChicagoUniversity of Chicago Press10.7208/chicago/9780226308906.001.0001Search in Google Scholar

Hall, B.H., & Rosenberg, N. (Eds.). (2010). Handbook of the economics of innovation. Amsterdam: Elsevier.HallB.H.RosenbergN.2010Handbook of the economics of innovationAmsterdamElsevierSearch in Google Scholar

Hanson, B., Sugden, A., & Alberts, B. (2011). Making data maximally available. Science, 331(6018), 649–649.2131097110.1126/science.1203354HansonB.SugdenA.AlbertsB.2011Making data maximally availableScience331601864964921310971Search in Google Scholar

Hanushek, E.A., & Woessmann, L. (2007). The role of education quality for economic growth. World Bank Policy Research Working Paper, No. 4122. Retrieved on July 30, 2017, from https://ssrn.com/abstract=960379.HanushekE.A.WoessmannL.2007The role of education quality for economic growthWorld Bank Policy Research Working Paper, No. 4122Retrieved on July 30, 2017https://ssrn.com/abstract=96037910.1596/1813-9450-4122Search in Google Scholar

Hanushek, E.A., Machin, S.J., & Woessmann, L. (Eds.). (2016). Handbook of the economics of education. Amsterdam: Elsevier.HanushekE.A.MachinS.J.WoessmannL.2016Handbook of the economics of educationAmsterdamElsevierSearch in Google Scholar

Hanushek, E.A., Woessmann, L., Jamison, E.A., & Jamison, D.T. (2008). Education and economic growth. Education Next, 8(2). Retrieved on July 31, 2017, from http://www.freepatentsonline.com/article/Education-Next/177556508.html.HanushekE.A.WoessmannL.JamisonE.A.JamisonD.T.2008Education and economic growthEducation Next, 82Retrieved on July 31, 2017http://www.freepatentsonline.com/article/Education-Next/177556508.htmlSearch in Google Scholar

Helbing, D., & Carbone, A.F. (Eds.). (2012). Participatory science and computing for our complex world. The European Physical Journal. Special Topics, Vol. 214. Retrieved on July 31, 2017, from https://epjst.epj.org/index.php?option=com_toc&url=/articles/epjst/abs/2012/14/contents/contents.html.HelbingD.CarboneA.F.2012Participatory science and computing for our complex worldThe European Physical Journal. Special Topics214Retrieved on July 31, 2017https://epjst.epj.org/index.php?option=com_toc&url=/articles/epjst/abs/2012/14/contents/contents.htmlSearch in Google Scholar

Hemlin, S. (1996). Research on research evaluation. Social Epistemology, 10(2), 209–250.10.1080/02691729608578815HemlinS.1996Research on research evaluationSocial Epistemology102209250Open DOISearch in Google Scholar

Henderson, R., Jaffe, A.B., & Trajtenberg, M. (1998). Universities as a source of commercial technology: A detailed analysis of university patenting, 196588. Review of Economics and Statistics, 80(1), 119–127.10.1162/003465398557221HendersonR.JaffeA.B.TrajtenbergM.1998Universities as a source of commercial technology: A detailed analysis of university patenting, 196588Review of Economics and Statistics801119127Open DOISearch in Google Scholar

Hicks, D., Wouters, P., Waltman, L., De Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.10.1038/520429a25903611HicksD.WoutersP.WaltmanL.De RijckeS.RafolsI.2015Bibliometrics: The Leiden Manifesto for research metricsNature52042943125903611Open DOISearch in Google Scholar

Hill, S. (2016). Assessing (for) impact: Future assessment of the societal impact of research. Palgrave Communications. Retrieved on July 31, 2017, from http://www.nature.com/articles/palcomms201673.HillS.2016Assessing (for) impact: Future assessment of the societal impact of researchPalgrave CommunicationsRetrieved on July 31, 2017http://www.nature.com/articles/palcomms20167310.1057/palcomms.2016.73Search in Google Scholar

Hinrichs-Krapels, S., & Grant, J. (2016). Exploring the effectiveness, efficiency and equity (3es) of research and research impact assessment. Palgrave Communications. Retrieved on July 31, 2017, from https://www.nature.com/articles/palcomms201690#t2.Hinrichs-KrapelsS.GrantJ.2016Exploring the effectiveness, efficiency and equity (3es) of research and research impact assessmentPalgrave CommunicationsRetrieved on July 31, 2017https://www.nature.com/articles/palcomms201690#t210.1057/palcomms.2016.90Search in Google Scholar

Horstemeyer, M.F. (2009). Multiscale modeling: A review. In J. Leszczynski, & M. Shukla (Eds.), Practical Aspects of Computational Chemistry (pp. 87–135). Dordrecht: Springer Netherlands.HorstemeyerM.F.2009Multiscale modeling: A reviewLeszczynskiJ.ShuklaM.Practical Aspects of Computational Chemistry87135DordrechtSpringer Netherlands10.1007/978-90-481-2687-3_4Search in Google Scholar

ISCED. (2011), International Standard Classification of Education, UNESCO Montreal, Canada. Retrieved on December 20, 2016, from http://www.uis.unesco.org/Education/Documents/isced-2011-en.pdf.ISCED2011International Standard Classification of Education, UNESCO Montreal, CanadaRetrieved on December 20, 2016http://www.uis.unesco.org/Education/Documents/isced-2011-en.pdfSearch in Google Scholar

Johnes, G., & Johnes, J. (Eds.). (2004). International handbook on the economics of education. Cheltenham: Edward Elgar.JohnesG.JohnesJ.2004International handbook on the economics of educationCheltenhamEdward Elgar10.4337/9781845421694Search in Google Scholar

Khandker, S.R., Koolwal, G.B., & Samad, H.A. (2010). Handbook on impact evaluation: Quantitative methods and practices. Washington, DC: World Bank Publications.KhandkerS.R.KoolwalG.B.SamadH.A.2010Handbook on impact evaluationQuantitative methods and practices.Washington, DCWorld Bank Publications10.1596/978-0-8213-8028-4Search in Google Scholar

Kitchin, R. (2014). Big data, new epistemologies and paradigm shifts. Big Data & Society, 1(1), 1–12.KitchinR.2014Big data, new epistemologies and paradigm shiftsBig Data & Society1111210.1177/2053951714528481Search in Google Scholar

Kuhn, T.S. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.KuhnT.S.1962The structure of scientific revolutions.ChicagoUniversity of Chicago PressSearch in Google Scholar

Kuhn, T.S. (1969). The structure of scientific revolutions. Retrieved on July 31, 2017, from http://projektintegracija.pravo.hr/_download/repository/Kuhn_Structure_of_Scientific_Revolutions.pdf/.KuhnT.S.1969The structure of scientific revolutions.Retrieved on July 31, 2017http://projektintegracija.pravo.hr/_download/repository/Kuhn_Structure_of_Scientific_Revolutions.pdf/Search in Google Scholar

Largent, M.A., & Lane, J.I. (2012). STAR METRICS and the science of science policy. Review of Policy Research, 29(3), 431–438.10.1111/j.1541-1338.2012.00567.xLargentM.A.LaneJ.I.2012STAR METRICS and the science of science policyReview of Policy Research293431438Open DOISearch in Google Scholar

Lenzerini, M. (2011). Ontology-based data management. CIKM, Proceedings of the 20th ACM International Conference on Information and Knowledge Management (pp. 5–6). New York: ACM.LenzeriniM.2011Ontology-based data managementCIKM, Proceedings of the 20th ACM International Conference on Information and Knowledge Management56New YorkACM10.1145/2063576.2063582Search in Google Scholar

Leydesdorff, L. (2012). The triple helix, quadruple helix, and an N-tuple of helices: Explanatory models for analysing the knowledge-based economy? Journal of the Knowledge Economy, 3(1), 25–35.10.1007/s13132-011-0049-4LeydesdorffL.2012The triple helix, quadruple helix, and an N-tuple of helices: Explanatory models for analysing the knowledge-based economy?Journal of the Knowledge Economy312535Open DOISearch in Google Scholar

Lutz, C.S. (2017). Alasdair Chalmers MacIntyre. In The Internet Encyclopedia of Philosophy. Retrieved on January 7, 2017, from http://www.iep.utm.edu/mac-over/.LutzC.S.2017Alasdair Chalmers MacIntyreIn The Internet Encyclopedia of PhilosophyRetrieved on January 7, 2017http://www.iep.utm.edu/mac-over/Search in Google Scholar

MacIntyre, A. (2006). The end of education: The fragmentation of the American university. Commonweal, 133(18), 10–14.MacIntyreA.2006The end of education: The fragmentation of the American universityCommonweal133181014Search in Google Scholar

MacIntyre, A. (2007). After virtue: A study in moral theory. 3rd ed. Notre Dame, Indiana: University of Notre Dame Press.MacIntyreA.2007After virtue: A study in moral theory3rdNotre Dame, IndianaUniversity of Notre Dame PressSearch in Google Scholar

MacIntyre, A. (1988). Whose justice? Which rationality? Notre Dame, Indiana: University of Notre Dame Press.MacIntyreA.1988Whose justice?Which rationality?Notre Dame, IndianaUniversity of Notre Dame PressSearch in Google Scholar

Mansfield, E. (1991). Academic research and industrial innovation. Research Policy, 20(1), 1–12.10.1016/0048-7333(91)90080-AMansfieldE.1991Academic research and industrial innovationResearch Policy201112Open DOISearch in Google Scholar

Mansfield, E. (1995). Academic research underlying industrial innovations: Sources, characteristics, and financing. The Review of Economics and Statistics, 77(1), 55–65.10.2307/2109992MansfieldE.1995Academic research underlying industrial innovations: Sources, characteristics, and financingThe Review of Economics and Statistics7715565Open DOISearch in Google Scholar

Martin, B.R. (2016). Introduction to discussion paper on the sciences are different and the differences are important. Research Policy, 9(45), 1691.MartinB.R.2016Introduction to discussion paper on the sciences are different and the differences are importantResearch Policy945169110.1016/j.respol.2016.06.003Search in Google Scholar

Mingers, J. (2006). Realising systems thinking: Knowledge and action in management science. Boston, MA: Springer.MingersJ.2006Realising systems thinkingKnowledge and action in management scienceBoston, MASpringerSearch in Google Scholar

Mirowski, P., & Sent, E.M. (2002). Science bought and sold: Essays in the economics of science. Chicago: University of Chicago Press.MirowskiP.SentE.M.2002Science bought and soldEssays in the economics of scienceChicagoUniversity of Chicago PressSearch in Google Scholar

Moed, H.F. (2016). Altmetrics as traces of the computerization of the research process. In C.R. Sugimoto (Ed.), Theories of Informetrics and Scholarly Communication. A Festschrift in Honor of Blaise Cronin (pp. 360–371). Berlin: De Gruyter.MoedH.F.2016Altmetrics as traces of the computerization of the research processSugimotoC.R.Theories of Informetrics and Scholarly CommunicationA Festschrift in Honor of Blaise Cronin360371BerlinDe Gruyter10.1515/9783110308464-021Search in Google Scholar

Moed, H.F., & van Leeuwen, T.N. (1996). Impact factors can mislead. Nature, 381 (6579), 186.862275210.1038/381186a0MoedH.F.van LeeuwenT.N.1996Impact factors can misleadNature38165791868622752Search in Google Scholar

Moed, H.F., Glänzel, W., & Schmoch, U. (2004). Handbook of quantitative science and technology research. Dordrecht: Springer Netherlands.MoedH.F.GlänzelW.SchmochU.2004Handbook of quantitative science and technology researchDordrechtSpringer Netherlands10.1007/1-4020-2755-9Search in Google Scholar

Moore, S., Neylon, C., Eve, M.P., O’Donnell, D., & Pattinson, D. (2017). “Excellence R Us”: University research and the fetishisation of excellence. Palgrave Communications. Retrieved on July 31, 2017, from https://www.nature.com/articles/palcomms2016105.MooreS.NeylonC.EveM.P.O’DonnellD.PattinsonD.2017“Excellence R Us”: University research and the fetishisation of excellencePalgrave CommunicationsRetrieved on July 31, 2017https://www.nature.com/articles/palcomms201610510.1057/palcomms.2016.105Search in Google Scholar

Moreau, L., Freire, J., Futrelle, J., McGrath, R.E., Myers, J., & Paulson, P. (2008). The open provenance model: An overview. In International Provenance and Annotation Workshop (pp. 323–326). Berlin: Springer.MoreauL.FreireJ.FutrelleJ.McGrathR.E.MyersJ.PaulsonP.2008The open provenance model: An overviewIn International Provenance and Annotation Workshop323326BerlinSpringer10.1007/978-3-540-89965-5_31Search in Google Scholar

Morris, W.T. (1967). On the art of modeling. Management Science, 13(12), B707 – B717.10.1287/mnsc.13.12.B707MorrisW.T.1967On the art of modelingManagement Science1312B707B717Open DOISearch in Google Scholar

Munafò, M.R., Nosek, B.A., Bishop, D.V., Button, K.S., Chambers, C.D., du Sert, N.P., … & Ioannidis, J.P. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1, 0021.MunafòM.R.NosekB.A.BishopD.V.ButtonK.S.ChambersC.D.du SertN.P.IoannidisJ.P.2017A manifesto for reproducible scienceNature Human Behaviour1002110.1038/s41562-016-0021761072433954258Search in Google Scholar

Myung, I.J. (2000). The importance of complexity in model selection. Journal of mathematical psychology, 44(1), 190–204.10.1006/jmps.1999.128310733864MyungI.J.2000The importance of complexity in model selectionJournal of mathematical psychology44119020410733864Open DOISearch in Google Scholar

National Research Council. (2014). Science of science and innovation policy: Principal investigators’ conference summary. Washington, DC: The National Academies Press.National Research Council2014Science of science and innovation policy: Principal investigators’ conference summaryWashington, DCThe National Academies PressSearch in Google Scholar

Nelson, R.R., & Phelps, E.S. (1966). Investment in humans, technological diffusion, and economic growth. The American Economic Review, 56(1/2), 69–75.NelsonR.R.PhelpsE.S.1966Investment in humans, technological diffusion, and economic growthThe American Economic Review561/26975Search in Google Scholar

Nielsen, M. (2012). Reinventing discovery: The new era of networked science. Princeton: Princeton University Press.NielsenM.2012Reinventing discoveryThe new era of networked science.PrincetonPrinceton University Press10.1515/9781400839452Search in Google Scholar

Nielsen, M.A., & Chuang, I.L. (2010). Quantum computation and quantum information. 10th Anniversary Edition. Cambridge: Cambridge University Press.NielsenM.A.ChuangI.L.2010Quantum computation and quantum information10th Anniversary EditionCambridgeCambridge University Press10.1017/CBO9780511976667Search in Google Scholar

Nowotny, H., Scott, P., & Gibbons, M. (2001). Re-thinking science: Knowledge and the public in an age of uncertainty. Cambridge: Polity.NowotnyH.ScottP.GibbonsM.2001Re-thinking scienceKnowledge and the public in an age of uncertainty.CambridgePolitySearch in Google Scholar

O’Donnell, C.J. (2016). Using information about technologies, markets and firm behaviour to decompose a proper productivity index. Journal of Econometrics, 190(2), 328–340.10.1016/j.jeconom.2015.06.009O’DonnellC.J.2016Using information about technologies, markets and firm behaviour to decompose a proper productivity indexJournal of Econometrics1902328340Open DOISearch in Google Scholar

OECD. (2002). Frascati Manual: Proposed standard practice for surveys on research and experimental development. Retrieved on July 31, 2017, from http://www.tubitak.gov.tr/tubitak_content_files/BTYPD/kilavuzlar/Frascati.pdf.OECD2002Frascati ManualProposed standard practice for surveys on research and experimental development.Retrieved on July 31, 2017http://www.tubitak.gov.tr/tubitak_content_files/BTYPD/kilavuzlar/Frascati.pdfSearch in Google Scholar

OECD. (2005). Oslo Manual: Guidelines for collecting and interpreting innovation data. 3rd edition. Paris: OECD Publishing.OECD2005Oslo ManualGuidelines for collecting and interpreting innovation data.3rdParisOECD Publishing10.1787/9789264013100-enSearch in Google Scholar

OECD. (2011). Quality framework and guidelines for OECD statistical activities. Paris: OECD Publishing.OECD2011Quality framework and guidelines for OECD statistical activitiesParisOECD PublishingSearch in Google Scholar

OECD (2015a). Making open science a reality. OECD Science, Technology and Industry Policy Papers No. 25. Paris: OECD Publishing.OECD2015aMaking open science a realityOECD Science, Technology and Industry Policy Papers No. 25.ParisOECD PublishingSearch in Google Scholar

OECD. (2015b). Frascati Manual 2015: Guidelines for collecting and reporting data on research and experimental development. Retrieved on July 30, 2017, from http://www.oecd.org/science/frascati-manual-2015-9789264239012-en.htm.OECD2015bFrascati Manual 2015Guidelines for collecting and reporting data on research and experimental development.Retrieved on July 30, 2017http://www.oecd.org/science/frascati-manual-2015-9789264239012-en.htmSearch in Google Scholar

Owen, R., Macnaghten, P., & Stilgoe, J. (2012). Responsible research and innovation: From science in society to science for society, with society. Science and Public Policy, 39(6), 751–760.10.1093/scipol/scs093OwenR.MacnaghtenP.StilgoeJ.2012Responsible research and innovation: From science in society to science for society, with societyScience and Public Policy396751760Open DOISearch in Google Scholar

Parent, C., & Spaccapietra, S. (2000) Database integration: The key to data interoperability. In M.P. Papazoglou, & Z. Zari (Eds.), Advances in Object-Oriented Data Modeling (pp. 221–253). Cambridge, MA: The MIT Press.ParentC.SpaccapietraS.2000Database integration: The key to data interoperabilityPapazoglouM.P.ZariZ.Advances in Object-Oriented Data Modeling221253Cambridge, MAThe MIT PressSearch in Google Scholar

Parmeter, C.F., Wan, A.T., & Zhang, X. (2016). A model averaging stochastic frontier estimator, paper presented at the NAPW 2016 Quebec City, Canada, June 2016.ParmeterC.F.WanA.T.ZhangX.2016A model averaging stochastic frontier estimatorpaper presented at the NAPW 2016 Quebec CityCanadaJune2016Search in Google Scholar

Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Brostrom, A., D’Este, P., … & Krabel, S. (2013). Academic engagement and commercialisation: A review of the literature on university-industry relations. Research Policy, 42(2), 423–442.10.1016/j.respol.2012.09.007PerkmannM.TartariV.McKelveyM.AutioE.BrostromA.D’EsteP.KrabelS.2013Academic engagement and commercialisation: A review of the literature on university-industry relationsResearch Policy422423442Open DOISearch in Google Scholar

Pollock, S.M. (1976). Mathematical modeling: Applying the principles of the art studio. Engineering Education, 67(2), 167–171.PollockS.M.1976Mathematical modeling: Applying the principles of the art studioEngineering Education672167171Search in Google Scholar

Romer, P.M. (1986). Increasing returns and long-run growth. The Journal of Political Economy, 94(5), 1002–1037.10.1086/261420RomerP.M.1986Increasing returns and long-run growthThe Journal of Political Economy94510021037Open DOISearch in Google Scholar

Romer, P.M. (1994). The origins of endogenous growth. The Journal of Economic Perspectives, 8(1), 3–22.10.1257/jep.8.1.3RomerP.M.1994The origins of endogenous growthThe Journal of Economic Perspectives81322Open DOISearch in Google Scholar

Roper, C.D., & Hirth, M.A. (2005). A history of change in the third mission of higher education: The evolution of one-way service to interactive engagement. Journal of Higher Education Outreach and Engagement, 10(3), 3–21.RoperC.D.HirthM.A.2005A history of change in the third mission of higher education: The evolution of one-way service to interactive engagementJournal of Higher Education Outreach and Engagement103321Search in Google Scholar

Rosenberg, N., & Nelson, R.R., (1994). American universities and technical advance in industry. Research Policy, 23(3), 323–348.10.1016/0048-7333(94)90042-6RosenbergN.NelsonR.R.1994American universities and technical advance in industryResearch Policy233323348Open DOISearch in Google Scholar

Saltelli, A., & Funtowicz, S. (2014). When all models are wrong. Issues in Science and Technology, 30(2), 79–85.SaltelliA.FuntowiczS.2014When all models are wrongIssues in Science and Technology3027985Search in Google Scholar

Saltelli, A., & Funtowicz, S. (2015). Evidence-based policy at the end of the Cartesian dream: The case of mathematical modelling. In G. Pereira, & S. Funtowicz (Eds.), Science, Philosophy and Sustainability: The End of the Cartesian Dream. Beyond the Techno–Scientific Worldview. Routledge’s Series: Explorations in Sustainability and Governance (pp. 147–162). London: Routledge.SaltelliA.FuntowiczS.2015Evidence-based policy at the end of the Cartesian dream: The case of mathematical modellingPereiraG.FuntowiczS.Science, Philosophy and Sustainability: The End of the Cartesian Dream. Beyond the Techno–Scientific Worldview. Routledge’s Series: Explorations in Sustainability and Governance147162LondonRoutledgeSearch in Google Scholar

Saltelli, A., Guimaraes Pereira, A., van der Sluijs, J.P., & Funtowicz, S. (2013). What do I make of your latinorum? Sensitivity auditing of mathematical modelling. International Journal of Foresight and Innovation Policy, 9(2–3–4), 213–234.10.1504/IJFIP.2013.058610SaltelliA.Guimaraes PereiraA.van der SluijsJ.P.FuntowiczS.2013What do I make of your latinorum? Sensitivity auditing of mathematical modellingInternational Journal of Foresight and Innovation Policy92–3–4213234Open DOISearch in Google Scholar

Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., … & Tarantola, S. (2008). Global sensitivity analysis: The primer. Chichester, UK: John Wiley & Sons.SaltelliA.RattoM.AndresT.CampolongoF.CariboniJ.GatelliD.TarantolaS.2008Global sensitivity analysisThe primer.Chichester, UKJohn Wiley & Sons10.1002/9780470725184Search in Google Scholar

Salter, A.J., & Martin, B.R. (2001). The economic benefits of publicly funded basic research: A critical review. Research Policy, 30(3), 509–532.10.1016/S0048-7333(00)00091-3SalterA.J.MartinB.R.2001The economic benefits of publicly funded basic research: A critical reviewResearch Policy303509532Open DOISearch in Google Scholar

Scharnhorst, A., Borner, K., van den Besselaar, P. (Eds.). (2012). Models of science dynamics: Encounters between complexity theory and information sciences. Berlin: Springer.ScharnhorstA.BornerK.van den BesselaarP.2012Models of science dynamicsEncounters between complexity theory and information sciences.BerlinSpringer10.1007/978-3-642-23068-4Search in Google Scholar

Simar, L., & Wilson, P.W. (2015). Statistical approaches for nonparametric frontier models: A guided tour. International Statistical Review, 83(1), 77–110.10.1111/insr.12056SimarL.WilsonP.W.2015Statistical approaches for nonparametric frontier models: A guided tourInternational Statistical Review83177110Open DOISearch in Google Scholar

Solow, R.M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3): 554–562.SolowR.M.1957Technical change and the aggregate production functionThe Review of Economics and Statistics39355456210.4324/9780203070710.pt7Search in Google Scholar

Stephan, P.E. (2012). How economics shapes science. Cambridge, MA: Harvard University Press.StephanP.E.2012How economics shapes scienceCambridge, MAHarvard University Press10.4159/harvard.9780674062757Search in Google Scholar

Stilgoe, J., Owen, R., & Macnaghten, P. (2013). Developing a framework for responsible innovation. Research Policy, 42(9), 1568–1580.10.1016/j.respol.2013.05.008StilgoeJ.OwenR.MacnaghtenP.2013Developing a framework for responsible innovationResearch Policy42915681580Open DOISearch in Google Scholar

Teixeira, P.N., & Dill, D.D. (Eds.). (2011). Public vices, private virtues? Assessing the effects of marketization in higher education (Vol. 2). Rotterdam: Sense Publishers.TeixeiraP.N.DillD.D.2011Public vices, private virtues?Assessing the effects of marketization in higher education2RotterdamSense Publishers10.1007/978-94-6091-466-9Search in Google Scholar

Teixeira, P., Jongbloed, B., Dill, D., & Amaral, A. (2004). Markets in higher education: Rhetoric or reality? Dordrecht: Kluwer.TeixeiraP.JongbloedB.DillD.AmaralA.2004Markets in higher educationRhetoric or reality?DordrechtKluwer10.1007/1-4020-2835-0Search in Google Scholar

Vandenbussche, J., Aghion, P., & Meghir, C. (2006). Growth, distance to frontier and composition of human capital. Journal of Economic Growth, 11(2), 97–127.10.1007/s10887-006-9002-yVandenbusscheJ.AghionP.MeghirC.2006Growth, distance to frontier and composition of human capitalJournal of Economic Growth11297127Open DOISearch in Google Scholar

Veugelers, R., & Del Rey, E. (2014). The contribution of universities to innovation, (regional) growth and employment. EENEE Analytical Report. Munich, Germany: EENEE. Retrieved on July 31, 2017, from http://www.voced.edu.au/node/82516.VeugelersR.Del ReyE.2014The contribution of universities to innovation, (regional) growth and employment. EENEE Analytical ReportMunich, Germany: EENEE.Retrieved on July 31, 2017http://www.voced.edu.au/node/82516Search in Google Scholar

Vinkler, P. (2010). The evaluation of research by scientometric indicators. Cambridge: Chandos Publishing.VinklerP.2010The evaluation of research by scientometric indicatorsCambridgeChandos Publishing10.1533/9781780630250Search in Google Scholar

von Hippel, E. (2005). Democratizing innovation. Cambridge, MA: The MIT Press.von HippelE.2005Democratizing innovationCambridge, MAThe MIT Press10.7551/mitpress/2333.001.0001Search in Google Scholar

von Hippel, E. (2016). Free innovation. Cambridge, MA: The MIT Press.von HippelE.2016Free innovation.Cambridge, MAThe MIT Press10.7551/mitpress/9780262035217.001.0001Search in Google Scholar

Weinan, E. (2011). Principles of multiscale modeling. Cambridge: Cambridge University Press.WeinanE.2011Principles of multiscale modeling.CambridgeCambridge University PressSearch in Google Scholar

West, J., Salter, A., Vanhaverbeke, W., & Chesbrough, H. (2014). Open innovation: The next decade. Research Policy, 43(5), 805–811.10.1016/j.respol.2014.03.001WestJ.SalterA.VanhaverbekeW.ChesbroughH.2014Open innovation: The next decadeResearch Policy435805811Open DOISearch in Google Scholar

Whitley, R., & Gläser, J. (Eds.). (2007). The changing governance of the sciences: The advent of research evaluation systems. Dordrecht: Springer Netherlands.WhitleyR.GläserJ.2007The changing governance of the sciencesThe advent of research evaluation systems.DordrechtSpringer Netherlands10.1007/978-1-4020-6746-4Search in Google Scholar

Wilsdon, J., Allen, L., Belfiore, E., Campbell, P., Curry, S., Hill, S., Jones, R., … & Johnson, B. (2015). The metric tide: Report of the independent review of the role of metrics in research assessment and management. Retrieved on July 31, 2017, from http://dera.ioe.ac.uk/23424/.WilsdonJ.AllenL.BelfioreE.CampbellP.CurryS.HillS.JonesR.JohnsonB.2015The metric tideReport of the independent review of the role of metrics in research assessment and management.Retrieved on July 31, 2017http://dera.ioe.ac.uk/23424/10.4135/9781473978782Search in Google Scholar

Willemain, T.R. (1994). Insights on modeling from a dozen experts. Operations Research, 42(2), 213–222.10.1287/opre.42.2.213WillemainT.R.1994Insights on modeling from a dozen expertsOperations Research422213222Open DOISearch in Google Scholar

Zucchini, W. (2000). An introduction to model selection. Journal of Mathematical Psychology, 44(1), 41–61.10.1006/jmps.1999.127610733857ZucchiniW.2000An introduction to model selectionJournal of Mathematical Psychology441416110733857Open DOISearch in Google Scholar

eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining