How to cite this paper
Orouji, S. (2016). Measuring the relative efficiency of project management using data envelopment analysis.Journal of Project Management, 1(1), 1-6.
Refrences
Ahn, Y. H., & Min, H. (2014). Evaluating the multi-period operating efficiency of international air-ports using data envelopment analysis and the Malmquist productivity index. Journal of Air Transport Management, 39, 12-22.
Aparicio, J., Pastor, J. T., & Zofio, J. L. (2013). On the inconsistency of the Malmquist–Luenberger index. European Journal of Operational Research,229(3), 738-742.
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.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Fuentes, R., & Lillo-Bañuls, A. (2015). Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices. Expert Systems with Applications, 42(5), 2442-2450.
Gharneh, N. S., Nabavieh, A., Gholamiangonabadi, D., & Alimoradi, M. (2014). Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants. Utilities Policy, 31, 114-120.
Hung, C. L. (2017). Social networks, technology ties, and gatekeeper functionality: Implications for the performance management of R&D projects. Research Policy, 46(1), 305-315.
Karasakal, E., & Aker, P. (2016). A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem. Omega, To appear.
Kerstens, K., & Van de Woestyne, I. (2014). Comparing Malmquist and Hicks–Moorsteen productivi-ty indices: Exploring the impact of unbalanced vs. balanced panel data. European Journal of Op-erational Research, 233(3), 749-758.
Kwon, H. B., Marvel, J. H., & Roh, J. J. (2017). Three-stage performance modeling using DEA–BPNN for better practice benchmarking. Expert Systems with Applications, 71, 429-441.
Lin, B., & Du, K. (2015). Modeling the dynamics of carbon emission performance in China: A para-metric Malmquist index approach. Energy Economics, 49, 550-557.
Lu, W. M., Kweh, Q. L., Nourani, M., & Huang, F. W. (2016). Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives. Omega, 62, 82-92.
Nazarko, J., & Chodakowska, E. (2015). Measuring productivity of construction industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122, 204-212.
El-Mashaleh, M. S., Rababeh, S. M., & Hyari, K. H. (2010). Utilizing data envelopment analysis to benchmark safety performance of construction contractors. International Journal of Project Man-agement, 28(1), 61-67.
Ulucan, A., & Atıcı, K. B. (2010). Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported pro-ject. Omega, 38(1), 68-83.
Parthasarathy, S., & Sharma, S. (2016). Efficiency analysis of ERP packages—A customization per-spective. Computers in Industry, 82, 19-27.
Sánchez, M. A. (2015). Integrating sustainability issues into project management. Journal of Cleaner Production, 96, 319-330.
Shuqiang, W., & Qiankun, W. (2012). Effect evaluation of construction engineerization management for military projects. Systems Engineering Procedia, 3, 351-356.
Sudhaman, P., & Thangavel, C. (2015). Efficiency analysis of ERP projects—software quality per-spective. International Journal of Project Management, 33(4), 961-970.
Trindade, D., Barroso, A. P., & Machado, V. H. (2015). Project management efficiency of a Portu-guese electricity distribution utility using data envelopment analysis. Procedia Computer Sci-ence, 64, 674-682.
Vitner, G., Rozenes, S., & Spraggett, S. (2006). Using data envelope analysis to compare project effi-ciency in a multi-project environment. International Journal of Project Management, 24(4), 323-329.
Wijesiri, M., & Meoli, M. (2015). Productivity change of microfinance institutions in Kenya: A boot-strap Malmquist approach. Journal of Retailing and Consumer Services, 25, 115-121.
Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental ef-ficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367-376.
Zhang, N., Zhou, P., & Kung, C. C. (2015). Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and Sus-tainable Energy Reviews, 41, 584-593.
Aparicio, J., Pastor, J. T., & Zofio, J. L. (2013). On the inconsistency of the Malmquist–Luenberger index. European Journal of Operational Research,229(3), 738-742.
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.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Fuentes, R., & Lillo-Bañuls, A. (2015). Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices. Expert Systems with Applications, 42(5), 2442-2450.
Gharneh, N. S., Nabavieh, A., Gholamiangonabadi, D., & Alimoradi, M. (2014). Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants. Utilities Policy, 31, 114-120.
Hung, C. L. (2017). Social networks, technology ties, and gatekeeper functionality: Implications for the performance management of R&D projects. Research Policy, 46(1), 305-315.
Karasakal, E., & Aker, P. (2016). A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem. Omega, To appear.
Kerstens, K., & Van de Woestyne, I. (2014). Comparing Malmquist and Hicks–Moorsteen productivi-ty indices: Exploring the impact of unbalanced vs. balanced panel data. European Journal of Op-erational Research, 233(3), 749-758.
Kwon, H. B., Marvel, J. H., & Roh, J. J. (2017). Three-stage performance modeling using DEA–BPNN for better practice benchmarking. Expert Systems with Applications, 71, 429-441.
Lin, B., & Du, K. (2015). Modeling the dynamics of carbon emission performance in China: A para-metric Malmquist index approach. Energy Economics, 49, 550-557.
Lu, W. M., Kweh, Q. L., Nourani, M., & Huang, F. W. (2016). Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives. Omega, 62, 82-92.
Nazarko, J., & Chodakowska, E. (2015). Measuring productivity of construction industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122, 204-212.
El-Mashaleh, M. S., Rababeh, S. M., & Hyari, K. H. (2010). Utilizing data envelopment analysis to benchmark safety performance of construction contractors. International Journal of Project Man-agement, 28(1), 61-67.
Ulucan, A., & Atıcı, K. B. (2010). Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported pro-ject. Omega, 38(1), 68-83.
Parthasarathy, S., & Sharma, S. (2016). Efficiency analysis of ERP packages—A customization per-spective. Computers in Industry, 82, 19-27.
Sánchez, M. A. (2015). Integrating sustainability issues into project management. Journal of Cleaner Production, 96, 319-330.
Shuqiang, W., & Qiankun, W. (2012). Effect evaluation of construction engineerization management for military projects. Systems Engineering Procedia, 3, 351-356.
Sudhaman, P., & Thangavel, C. (2015). Efficiency analysis of ERP projects—software quality per-spective. International Journal of Project Management, 33(4), 961-970.
Trindade, D., Barroso, A. P., & Machado, V. H. (2015). Project management efficiency of a Portu-guese electricity distribution utility using data envelopment analysis. Procedia Computer Sci-ence, 64, 674-682.
Vitner, G., Rozenes, S., & Spraggett, S. (2006). Using data envelope analysis to compare project effi-ciency in a multi-project environment. International Journal of Project Management, 24(4), 323-329.
Wijesiri, M., & Meoli, M. (2015). Productivity change of microfinance institutions in Kenya: A boot-strap Malmquist approach. Journal of Retailing and Consumer Services, 25, 115-121.
Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental ef-ficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367-376.
Zhang, N., Zhou, P., & Kung, C. C. (2015). Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and Sus-tainable Energy Reviews, 41, 584-593.