References
Ammirato, S., Fattoruso, G., & Violi, A. (2022). Parsimonious AHP-DEA Integrated Approach for Efficiency Evaluation of Production Processes. J. Risk Financial Manag., 15, 293. https://doi.org/10.3390/jrfm15070293
Search via ReFindit
Baek, C., & Lee, J. D. (2009). The relevance of DEA benchmarking information and the least-distance measure. Mathematical and Computer Modelling, 49(1), 265-275. https://doi.org/10.1016/j.mcm.2008.08.007
Search via ReFindit
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9). 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
Search via ReFindit
Banker, R. D., Charnes, A., Cooper, W. W., Swarts, J., & Thomas, D. (1989). An introduction to data envelopment analysis with some of its models and their uses. Research In Governmental and Nonprofit Accounting, 5(1), 125-163.
Search via ReFindit
Banker, R.D., Cooper, W.W., Seiford, L.M., Zhu, J. (2011). Returns to Scale in DEA. In: Cooper, W., Seiford, L., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 164. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6151-8_2
Search via ReFindit
Bielik, P., & Rajčániová, M. (2004). Scale efficiency of agricultural enterprises in Slovakia. Agricultural Economics, 50(8), 331-335. https://doi.org/10.17221/5211-AGRICECON
Search via ReFindit
Bumba, A., Gomes, M., Jesus, C., & Lima, R. M. (2023). KPI tree - a hierarchical relationship structure of key performance indicators for value streams. Production Engineering Archives, 29(2), 175-185. https://doi.org/10.30657/pea.2023.29.21
Search via ReFindit
Charles, V., & Zegarra, L. F. (2014). Measuring regional competitiveness through data envelopment analysis: a Peruvian case. Expert Systems with Applications, 41(11), 5371-5381. https://doi.org/10.1016/j.eswa.2014.03.003
Search via ReFindit
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444. 90138-8 https://doi.org/10.1016/0377-2217(78)
Search via ReFindit
Chen, Y. (2004). Ranking efficient units in DEA. Omega, 32(3), 213-219. https://doi.org/10.1016/j.omega.2003.11.001
Search via ReFindit
Cooper, W. W., Seiford, L. M., Tone, K., & Zhu, J. (2007). Some models and measures for evaluating performances with DEA: past accomplishments and future prospects. Journal of Productivity Analysis, 28, 151-163. https://doi.org/10.1007/s11123-007-0056-4
Search via ReFindit
De, D., Chowdhury, S., Dey, P. K., & Ghosh, S. K. (2020). Impact of lean and sustainability-oriented innovation on the sustainability performance of small and medium-sized enterprises: a data envelopment analysis-based framework. International Journal of Production Economics, 219, 416-430. https://doi.org/10.1016/j.ijpe.2018.07.003
Search via ReFindit
Dia M, Golmohammadi A, & Takouda PM. (2020). Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA. Journal of Risk and Financial Management, 13(4), 68. https://doi.org/10.3390/jrfm13040068
Search via ReFindit
Dobrovič, J., Korauš, A. & Dančišinová, L. (2016). Sustainable economic development of Slovakia: factors determining optimal tax collection. Journal of Security and Sustainability Issues, 5(4), 533-544. https://doi.org/10.9770/jssi.2016.5.4(7)
Search via ReFindit
Du, Y.C., Wang, R.X., & Li, M.W. (2022). Measurement and Evaluation of Corporate Governance Ability of Mixed-ownership Reform Enterprises: Evidence from China. Transformations in Business & Economics, Vol. 21, No 2 (56), pp.233-254.
Search via ReFindit
EUSBS. (2023). Industry by employment size class (NACE Rev. 2, B-E). [Data set]. Statistical Office of the European Communities. https://ec.europa.eu/eurostat/databrowser/view/SBS_SC_IND_R2/default/table?lang=e
Search via ReFindit
Ferreira, A. C., & Silva A. (2022). Supplier selection and procurement in SMEs: insights from the literature on key criteria and purchasing strategies. Engineering Management in Production and Services, 14(4), 47-60. https://doi.org/10.2478/emj-2022-0030
Search via ReFindit
Gombár, M., Korauš, A., Vagaská, A., & Tóth, Š. (2022). Analytical View on the Sustainable Development of Tax and Customs Administration in the Context of Selected Groups of the Population of the Slovak Republic. Sustainability, 14, 1891. https://doi.org/10.3390/su14031891
Search via ReFindit
Guan, J. C., Yam, R. C., Mok, C. K., & Ma, N. (2006). A study of the relationship between competitiveness and technological innovation capability based on DEA models. European Journal of Operational Research, 170(3), 971-986. https://doi.org/10.1016/j.ejor.2004.07.054
Search via ReFindit
Gutiérrez, E., & Lozano, S. (2020). Cross-country comparison of the efficiency of the European forest sector and second stage DEA approach. Annals of Operations Research, 314(2), 471-496. https://doi.org/10.1007/s10479-020-03756-9
Search via ReFindit
Henriques, C.O., Neves, M.E., Conceição, J.A., & Vieira, E.S. (2023) Performance of US and European Exchange Traded Funds: A Base Point-Slack-Based Measure Approach. J. Risk Financial Manag., 16, 130. https://doi.org/10.3390/jrfm16020130
Search via ReFindit
Horváthová, J., Mokrišová, M., & Vrábliková, M. (2021). Benchmarking—A Way of Finding Risk Factors in Business Performance. J. Risk Financial Manag., 14, 221. https://doi.org/10.3390/jrfm14050221
Search via ReFindit
Hua, Z., Bian, Y., & Liang, L. (2007). Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach. Omega, 35, 578-587. http://doi.org/10.1016/j.omega.2005.11.001
Search via ReFindit
Hyránek, E., Kowalska-Sudykam., Mišota, B., Ondrejmišková, I., & Kapko, M. (2021). Verification of the Performance Model in Selected Companies in the Mining Industry. Acta Montanistica Slovaca, 26(3), 415-426. https://doi.org/10.46544/AMS.v26i3.03
Search via ReFindit
Jia, T., & Yuan, H. (2017). The application of DEA (Data Envelopment Analysis) window analysis in the assessment of influence on operational efficiencies after the establishment of branched hospitals. BMC Health Services Research, 17(1), 1-8. http://doi.org/10.1186/s12913-017-2203-6
Search via ReFindit
Khezrimotlagh, D., Cook, W. D., & Zhu, J. (2021). Number of performance measures versus number of decision-making units in DEA. Annals of Operations Research, 303(1-2), 529-562. https://doi.org/10.1007/s10479-019-03411-y
Search via ReFindit
Kollmann, J., Straková, J., Korauš, A., Palinchak, & M., Černák, F. (2023). Enterprise risk analysis in an engineering company with a focus on custom manufacturing. Entrepreneurship and Sustainability Issues, 10(3), 362-382. http://doi.org/10.9770/jesi.2023.10.3(24)
Search via ReFindit
Kononiuk, A. (2022). Determinants of Foresight Maturity in SME Enterprises of Poland. Foresight and STI Governance, 16(1), 69-81. http://doi.org/10.17323/2500-2597.2022.1.69.81
Search via ReFindit
Korauš, A., Gombár, M., Vagaská, A., Šišulák, S. & Černák, F. (2021) Secondary Energy Sources and Their Optimization in the Context of the Tax Gap on Petrol and Diesel. Energies, 14, 4121. https://doi.org/10.3390/en14144121
Search via ReFindit
Korkmaz, E. (2011) Measuring the productive efficiency of forest enterprises in the Mediterranean Region of Turkey using data envelopment analysis. African Journal of Agricultural Research, 2011, 6(19), 4522-4532. https://doi.org/10.5897/AJAR11.1002
Search via ReFindit
Kovalčík, M. (2018). Efficiency of the Slovak forestry in comparison to other European countries: An application of Data Envelopment Analysis. Central European Forestry Journal, 64(1), 46-54. https://doi.org/10.1515/forj-2017-0026
Search via ReFindit
Kovalčík, M. (2020). Profitability and Efficiency of Forest Contractors in Slovakia—Comparison of Mountain and Lowland Regions. Forests, 11(4), 370. https://doi.org/10.3390/f11040370
Search via ReFindit
Kropivšek, J., & Grošelj, P. (2019). Long-term Financial Analysis of the Slovenian Wood Industry Using DEA. Drvna Industrija, 70(1), 61–70. https://doi.org/10.5552/drvind.2019.1810
Search via ReFindit
Malá, D., Sedliačiková, M., Kaščáková, A., Benčíková, D., Vavrová, K., & Bikár, M. (2017). Green Logistics in Slovak Small and Me-dium Wood-Processing Enterprises. BioResources, 12(3), 5155-5173. https://doi.org/10.15376/biores.12.3.5155-5173
Search via ReFindit
Michal, J., Březina, D., Šafařík, D., & Babuka, R. (2021). Sustainable Development Model of Performance of Woodworking Enter-prises in the Czech Republic. Forests, 12(6), 672. https://doi.org/10.3390/f12060672
Search via ReFindit
Mihalčová, B., Korauš, A., Prokopenko, O., Hvastová, J., Freňáková, M., Gallo, P., & Beáta, B. (2021). Effective Management Tools for Solving the Problem of Poverty in Relation to Food Waste in Context of Integrated Management of Energy. Energies, 14, 4245. https://doi.org/10.3390/en14144245
Search via ReFindit
Neves, M.E.D., Gouveia, M.D.C., & Proença, C.A.N. (2020). C.A.N. European Bank’s Performance and Efficiency. J. Risk Financial Manag., 13, 67. https://doi.org/10.3390/jrfm13040067
Search via ReFindit
Ning, Y., Liu, Z., Ning, Z., & Zhang, H. (2018). Measuring Eco-Efficiency of State-Owned Forestry Enterprises in Northeast China. Forests, 9(8), 455. https://doi.org/10.3390/f9080455
Search via ReFindit
Pastor, J. T., & Aparicio, J. (2010). The relevance of DEA benchmarking information and the least-distance measure: comment. Mathematical and Computer Modelling, 52(1-2), 397-399. https://doi.org/10.1016/j.mcm.2010.03.010
Search via ReFindit
Porfírio, J. A., Felício, J. A., & Carrilho, T. (2020). Family business succession: Analysis of the drivers of success based on entrepreneurship theory. Journal of Business Research, 115, 250-257. https://doi.org/10.1016/j.jbusres.2019.11.054
Search via ReFindit
Qayyum, A., & Riaz, K. (2018). Incorporating Credit Quality in Bank Efficiency Measurements: A Directional Distance Function Approach. J. Risk Financial Manag., 11, 78. https://doi.org/10.3390/jrfm11040078
Search via ReFindit
Ruiz, J. L., & Sirvent, I. (2016). Common benchmarking and ranking of units with DEA. Omega, 65, 1-9. https://doi.org/10.1016/j.omega.2015.11.007
Search via ReFindit
Salehirad, N., & Sowlati, T. (2005). Performance analysis of primary wood producers in British Columbia using data envelopment analysis. Canadian Journal of Forest Research, 35(2), 285-294. https://doi.org/10.1139/x04-154
Search via ReFindit
Sari, D., Handayani, N., Ulkhaq, M., Budiawan, W., Maharani, D., & Ardi, F. (2018). A data envelopment analysis approach for assessing the efficiency of small and medium-sized wood-furniture enterprises: A case study. [conference paper]. In MATEC Web of Conferences, 30-31 August 2018, Conference proceedings (Vol. 204, pp. 1015). https://doi.org/10.1051/matecconf/201820401015
Search via ReFindit
Sedivka, P. (2009). Estimation of technical efficiency in production technologies of Czech sawmills. Drvna Industrija, 60(4), 197-207.
Search via ReFindit
Sedliačiková, M., Hajdúchová, I., Krištofík, P., & Viszlai, I., Gaff, M. (2016). Improving the performance of small and medium wood-processing enterprises. BioResources, 11(1), 439-450. https://doi.org/10.15376/biores.11.1.439-450
Search via ReFindit
Šimberová, I., Korauš, A., Schüller, D., Smolíkova, L., Straková, J. & Váchal, J. (2022). Threats and Opportunities in Digital Transformation in SMEs from the Perspective of Sustainability: A Case Study in the Czech Republic. Sustainability, 14(6), 3628. https://doi.org/10.3390/su14063628
Search via ReFindit
Šporčić, M., & Landekič, M. (2014). Nonparametric Model for Business Performance Evaluation in Forestry. In Awrejcewicz, J. (Ed.), Computational and Numerical Simulations, IntechOpen, London, UK. https://doi.org/10.5772/57042
Search via ReFindit
Šporčić, M., Martinič, I., Landekič, M., & Lovrič, M. (2009). Measuring Efficiency of Organizational Units in Forestry by Nonpar-amet-ric Model. Croatian Journal of Forest Engineering, 30(1), 1-13. https://doi.org/10.5552/crojfe
Search via ReFindit
Stojčić, N., Anić, I. D., & Aralica, Z. (2019). Do firms in clusters perform better? Lessons from wood-processing industries in new EU member states. Forest Policy and Economics, 109, 102043. https://doi.org/10.1016/j.forpol.2019.102043
Search via ReFindit
Straková, J., Korauš, A., Váchal, J., Pollák, F., Černák, F., Talíř, M. & Kollmann, J. (2021). Sustainable Development Economics of Enterprises in the Services Sector Based on Effective Management of Value Streams. Sustainability, 13(16), 8978. http://dx.doi.org/10.3390/su13168978
Search via ReFindit
Takouda, P.M., Dia, M., & Ouattara, A. (2022). Financial Inclusion in West African Economic and Monetary Union’s Economies: Performance Analysis Using Data Envelopment Analysis. J. Risk Financial Manag., 15, 605. https://doi.org/10.3390/jrfm15120605
Search via ReFindit
Trigkas, M., Papadopoulos, I., & Karagouni, G. (2012). Economic efficiency of wood and furniture innovation system. European Journal of Innovation Management, 15(2), 150-176. https://doi.org/10.1108/14601061211220959
Search via ReFindit
Tsolas, I. E. (2011). Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA. Resources Policy, 36(2), 159-167. https://doi.org/10.1016/j.resourpol.2010.10.003
Search via ReFindit
Tsolas, I.E. (2020) The Determinants of the Performance of Precious Metal Mutual Funds. J. Risk Financial Manag., 13, 286. https://doi.org/10.3390/jrfm13110286
Search via ReFindit
Villaverde, D. B., Paredes, A. P., & de los Ángeles, J. A. C. (2020). Assessment of innovation factors that impact competitiveness in the Mexican state entities through DEA analysis. Strategy, Technology & Society, 10(1).
Search via ReFindit
Woodwell, J. C. (1998). A simulation model to illustrate feedback among resource consumption, production, and factors of production in ecological-economic systems. Ecological Modelling, 112(2-3), 227-248. 00080-5 https://doi.org/10.1016/S0304-3800(98)
Search via ReFindit
Yang, H. H., & Chang, C. Y. (2009). Using DEA window analysis to measure efficiencies of Taiwan's integrated telecommunication firms. Telecommunications Policy, 33(1-2), 98-108. https://doi.org/10.1016/j.telpol.2008.11.001
Search via ReFindit
Yang, H., Yuan, T., Zhang, X., & Li, S. (2016). A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China. Forests, 7(5), 97. https://doi.org/10.3390/f7050097
Search via ReFindit
Zhang, D., Nasir, H., & Haas, C. T. (2017). Development of an internal benchmarking and metrics model for industrial construction enterprises for productivity improvement. Canadian Journal of Civil Engineering, 44(7), 518-529. https://doi.org/10.1139/cjce-2016-0274
Search via ReFindit
Zhang, X., Xu, D. (2022). Assessing the eco-efficiency of complex forestry enterprises using LCA/time-series DEA methodology. Ecological Indicators, 142, 109166. https://doi.org/10.1016/j.ecolind.2022.109166
Search via ReFindit
RSS 1.0
