Innovative advantages ranking. A new approach

• Autorzy: GOGODZE Joseph
• Języki publikacji: EN

Abstrakty

EN

Assessing/ranking the innovative advantages of countries is a problem of current interest. However, the set of tools used for this purpose are very narrow and often prone to criticism. The aim of this study is to somewhat extend the arsenal of methods used to this end. For this purpose, based on a data set from the Global Innovation Index, this study develops a special multi-objective decision-making problem, the aim of which is to identify the “best countries” in the sense of their innovative advantage. Moreover, applying ranking methods (in our case the Markov-chain method and analytic hierarchy process) to this multi-objective decision-making problem, we obtain new alternative ratings/rankings of the innovative advantages of countries.

Słowa kluczowe

EN

global innovation index; Markov chain; analytic hierarchy process; multi-objective decision making problem

• Wydawca: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2019
• Tom: 29
• Numer: 1
• Strony: 5-15

Twórcy

autor

GOGODZE Joseph

• Institute Techinformi, Georgian Technical University, 47 Kostava St., 0179 Tbilisi, Georgia,

Bibliografia

• ACEMOGLU D., Localised and biased technologies. Atkinson and Stiglitz’s new view, induced innovations, and directed technological change, Econ. J., 2015, 125 (583), 443–463.
• ALONSO J.A., LAMATA M.T., Consistency in the analytic hierarchy process. A new approach, Int. J. Uncert. Fuzz. Knowl. Syst., 2006, 14 (4), 445–459.
• ARCHIBUGI D., DENNI M., FLIPPETI A., The technological capabilities of nations. The state of the art of synthetic indicators, Techn. For. Soc. Change, 2009, 76, 917–931.
• CHEN D., DAHLMAN C., The Knowledge Economy, the KAM Methodology and World Bank Operations, World Bank, Washington 2005.
• CHING W.-K., HUANG X., NG M.K., SIU T.K., Markov Chains. Models Algorithms and Applications, Springer, 2013.
• EHRGOTT M., Multicriteria Optimization, Springer, 2005.
• EL GIBARI S., GOMEZ T., RUIZ F., Building composite indicators using multicriteria methods. A review, J. Bus. Econ., 2018, 1–24.
• European Commission, Global Innovation Scoreboard 2017. Directorate-General for Enterprise and Industry, Brussels.
• FAGERBERG J., SRHOLEC M., National innovation systems, capabilities and economic development, Res. Pol., 2008, 37, 1417–1435.
• GOGODZE J., Data-CIAR [Data set]. Unpublished, https://doi.org/10.13140/rg.2.2.15922.86724
• GOLANY B., A multicriteria evaluation of methods for obtaining weights from ratio-scale matrices, European Journal of Operational Research, 1993, 69, 210–220.
• GONZALEZ-DIAZ J., HENDRICKX R., LOHMANN E., Paired comparisons analysis. An axiomatic approach to ranking methods, Soc. Choice Welf., 2014, 42, 1, 139–169.
• GOVAN A.Y., Ranking Theory with Application to Popular Sports, PhD thesis, North Carolina State University, North Carolina, 2008.
• INSEAD, Global Innovation Index 2011, Global Innovation Index 2012, Global Innovation Index 2013, Global Innovation Index 2014, Global Innovation Index 2015, Fontainebleau.
• MARLER R.T., ARORA J.S., Function-transformation methods for multi-objective optimization, Eng. Opt., 2005, 37, 6, 551–570.
• MAZUREK J., Some notes on the properties of inconsistency indices in pairwise comparisons, Oper. Res. Dec., 2018, 28 (1), 27–42.
• MIETTINEN K.M., Nonlinear Multiobjective Optimization, Kluwer, 1999.
• SAATY T.L., The Analytic Hierarchy Process, McGraw-Hill, New York 1980.
• SAATY T.L., Axiomatic foundation of the analytical hierarchy process, Manage. Sci., 1986, 32, 841–855.
• SAATY T.L., Analytic hierarchy process, [In:] S.I. Gass, C.M. Harris (Eds.) Encyclopaedia of Operations Research and Management Science, Springer, Boston 2013, 52–64.
• SCHUMPETER J., Capitalism, Socialism and Democracy, George Allen and Unwin, New York 1942.
• SOLOW R.M., A contribution to the theory of economic growth, Quart. J. Econ., 1956, 70, 65–94.
• VERSPAGEN B., Innovation and economic growth, [In:] J. Fagerberg, D.C. Mowery, R.R. Nelson (Eds.), The Oxford Handbook of Innovation, Oxford University Press, Oxford 2005, 487–513.

Identyfikatory

DOI

10.5277/ord190101