Open Access
Issue
MATEC Web Conf.
Volume 312, 2020
9th International Conference on Engineering, Project, and Production Management (EPPM2018)
Article Number 01001
Number of page(s) 10
Section Theories and Applications of Engineering Management
DOI https://doi.org/10.1051/matecconf/202031201001
Published online 03 April 2020
  1. J. Nazarko, P. Radziszewski, K. Dębkowska, J. Ejdys, A. Gudanowska, K. Halicka, J. Kilon, A. Kononiuk, K. Kowalski, J. Król, L. Nazarko, M. Sarnowski, T. Vilutiene, Foresight Study of Road Pavement Technologies, Procedia Engineering, 122, 129-136 (2015) [CrossRef] [Google Scholar]
  2. F. van Vught, U. Brandenburg, N. Burquel, D. Carr, G. Federkeil, J.A. dos Santos Rafael, J. Sadlak, J. Urban, P. Wells, D. Westerheijden, J. Nazarko, K. Kuzmicz, A practical guide. Benchmarking in European Higher Education, ESMU, Brussels (2008) [Google Scholar]
  3. The Directory of Environmental Organizations and Environmental Government Agencies in Europe. United States Environmental Directories, [online] https://earthdirectory.net/europe#Agencies [11.07.2018] [Google Scholar]
  4. F. Cucchiella, I. D’Adamo, M. Gastaldi, S.C.L. Koh, P. Rosa, A comparison of environmental and energetic performance of European countries: A sustainability index, Renewable and Sustainable Energy Reviews, 78, 401-413 (2017) [CrossRef] [Google Scholar]
  5. G.E. Halkos, P.Α. Paizanos, The effect of government expenditure on the environment: An empirical investigation, Ecological Economics, 91, 48-56 (2013) [Google Scholar]
  6. R. López, G.I. Galinato, A. Islam, Fiscal spending and the environment: Theory and empirics, Journal of Environmental Economics and Management, 62(2), 180-198 (2011) [CrossRef] [Google Scholar]
  7. J. Nazarko, Regionalny foresight gospodarczy. Scenariusze rozwoju innowacyjności mazowieckich przedsiębiorstw, ZPWiM, Warszawa (2013) [Google Scholar]
  8. K. Dziekoński, O.H.M.F. Ibrahim, A-M. Mahamadu, P. Manu, Framework of performance measurement practices in construction companies in Egypt, Engineering Management in Production and Services, 10(2), 7-14 (2018) [CrossRef] [Google Scholar]
  9. E. Chodakowska, J. Nazarko, Network DEA Models for Evaluating Couriers and Messengers, Procedia Engineering, 182, 106-111 (2017) [CrossRef] [Google Scholar]
  10. A. Emrouznejad, G. Yang, A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016, Socio-Economic Planning Sciences, 61, 4-8 (2018) [CrossRef] [Google Scholar]
  11. K. Halicka, Main Concepts of Technology Analysis in the Light of the Literature on the Subject, Procedia Engineering, 182, 291-298 (2017) [CrossRef] [Google Scholar]
  12. E. Chodakowska, J. Nazarko, Environmental DEA method for assessing productivity of European countries, Technological and Economic Development of Economy, 23(4), 589-607 (2017) [CrossRef] [Google Scholar]
  13. J. Nazarko, E. Chodakowska, Labour efficiency in construction industry in Europe based on frontier methods: data envelopment analysis and stochastic frontier analysis, Journal of Civil Engineering and Management, 23(6), 787-795 (2017) [CrossRef] [Google Scholar]
  14. A. Shabani, R.F. Saen, S.M.R. Torabipour, A new data envelopment analysis (DEA) model to select eco-efficient technologies in the presence of undesirable outputs, Clean Technologies and Environmental Policy, 16(3), 513-525 (2014) [CrossRef] [Google Scholar]
  15. D.S. Kwon, J.H. Cho, S.Y. Sohn, Comparison of technology efficiency for CO2 emissions reduction among European countries based on DEA with decomposed factors, Journal of Cleaner Production, 151, 109-120 (2017) [CrossRef] [Google Scholar]
  16. K. Halicka, The reference methodology of prospective analysis of technology in production engineering. In: S. Şahin (ed.) 8th International Conference on Engineering, Project, and Product Management (EPPM 2017). Proceedings Lecture Notes in Mechanical Engineering, Springer, Cham, 99-107 Springer (2018) [Google Scholar]
  17. H. Ahn, M. Afsharian, A. Emrouznejad, R. Banker, Recent developments on the use of DEA in the public sector, Socio-Economic Planning Sciences, 61, 1-3 (2018) [CrossRef] [Google Scholar]
  18. A. Mardani, D. Streimikiene, T. Balezentis, M.Z.M. Saman, K.M. Nor, S.M. Khoshnava, Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends, Energies, 11(8) (2018) [Google Scholar]
  19. A. Charnes, W.W. Cooper, E. Rhodes, Measuring the efficiency of decision-making units, European Journal of Operational Research, 2(6), 429-444 (1978) [CrossRef] [Google Scholar]
  20. W.W. Cooper, L.M. Seiford, K. Tone, Data Envelopment Analysis. A Comprehensive Text with Models. Applications. References and DEA-Solver Software. Second Edition, Springer (2007) [Google Scholar]
  21. A. Emrouznejad, G.R. Amin, DEA models for ratio data: Convexity consideration, Applied Mathematical Modelling 33(1), 486-498 (2009) [CrossRef] [Google Scholar]
  22. S. Malmquist, Index Numbers and Indifference Surfaces, Trabajos de Estadística, 4(2), 209-242 (1953) [CrossRef] [Google Scholar]
  23. R. Färe, S. Grosskopf, B. Lindgren, P. Roos, Productivity Changes in Swedish Pharamacies 1980-1989: A Non-Parametric Malmquist Approach, Journal of Productivity Analysis, 3(1/2), 85-101 (1992) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.