[1] Nematizadeh, A., Amirteimoori, A., Kordrostami, S. & Vaez Ghasemi, M. (2021). Evaluating the profit efficiency of two-stage processes with undesirable outputs, Modern Research in Decision Making, 6(3), 215-237.
[2] Charnes, A., Cooper, W. W., & Rhodes, E. (1978), “Measuring the efficiency of decision-making units”. European Journal of Operational Research, 2, 429-444.
[3] Fang, L. (2020). Stage efficiency evaluation in a two-stage network data envelopment analysis model with weight priority, Omega, 97(C).
[4] Fare, R., Grosskopf, S. (1997). Intertemporal Production Frontiers: With Dynamic DEA, Journal of the Operational Research Society, 48(6), 656.
[5] Fare, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34, 35-49.
[6] Emrouznejad, A. & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016. Socio-Economic Planning Sciences, 61(1), 4-8.
[7] Herrera, O., Triantis, K., Trianor, J., Murray, P., Edara, P. (2016). A multi-perspective dynamic network performance efficiency measurement of an evacuation: A dynamic network-DEA approach, Omega, 60(C), 45-59.
[8] Nemoto, J., & Goto, M. (1999). Dynamic data envelopment analysis: Modeling intertemporal behavior of a firm in the presence of productive inefficiencies. Economics Letters, 64(1), 51-56.
[9] Nemoto, J., & Goto, M. (2003). Measurement of dynamic efficiency in production: An application of data envelopment analysis to Japanese electric utilities. Journal of Productivity Analysis, 19, 191-210.
[10] Mariz, F., Almeida, M., Aloise, D. (2017). A review of Dynamic Data Envelopment Analysis: state of the art and applications, Intl. Trans. in Op. Res., 25(1), 1-37.
[11] Omid, A., Azar, A., Dehghan Nayeri, M. & Moghbel, A. (2021). Developing a network Data Envelopment Analysis approach to compare the environmental efficiency of active industries in Teran, Management Research in Iran, 25(3), 193-216.
[12] Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418-429.
[13] Chen, Y., Cook, W. D., Li, N., & Zhu, J. (2009). Additive efficiency decomposition in two-stage DEA. European Journal of Operational Reaearch, 196, 1170-1176.
[14] Chen, K., Zhu, J. (2018). Scale efficiency in two-stage network DEA, journal of the Operational Research Society, 70, 101-110, doi: 10.1080/01605682.2017.1421850.
[15] Yin, P., Chu, J., Wu, J., Ding, j., Yang, M., Wang, y. (2020). A DEA-based two-stage network approach for hotel performance analysis: an internal cooperation perspective, Omega, 93(C).
[16] Li, Y., Shi, X., Emrouznejad, A., Liang, L. (2020). Ranking intervals for two-stage production systems, journal of the Operational Research Society, 71:2, 209-224, DOI:10.1080/01605682.2018.1535267.
[17] Zhang, Q., Koutmos, D., Chen, K., Zhu, J. (2019). Using Operational and Stock Analytics to Measure Airline Performance: A Network DEA Approach. Decision Sciences, 52(3), 720-748.
[18] Saeedi, H., Behdani, B., Wiegmans, B., Zuidwijk, R. (2019). Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach, Transportation Research Part E logistic, 126, 66-86.
[19] Hatami-Marbini, A., Saati, S. (2020). Measuring performance with common weights: network DEA, Neural Computing and Applications, 32, 3599-3617, https://doi.org/10.1007/s00521-019-04219-4.
[20] Boloori, F., Afsharian, M., Pourmahmoud, J. (2016). Equivalent multilier and envelopment DEA models for measuring efficiency under general network structures, Measurement, 80, 259-269.
[21] Zhai, D., Shang, J., Yang, F., Ang, S. (2019). Measuring Energy Supply Chains Efficiency with Emission Trading: A Two-stage Frontier-Shift Data Envelopment Analysis, Journal of Cleaner Production, 210, 1462-1474, https://doi.org/10.1016/j.jclepro.2018.10.355.
[22] Patrizi, V. (2020). On network two stages variable returns to scale DEA models, Omega, 97(C), 102084.
[23] FakhrMousavi, S.M., Amirteimoori, A., Kordrostami, S., Vaez-Ghasemi, M. (2022). Estimation of efficiency of two-stage processes using a fully fuzzy range-adjusted measure approach and strong complementary slackness conditions, Modern Research in Decision Making, 7(2), 29-51.
[24] Moreno, P. & Lozano, S. (2016). Super SBI Dynamic Network DEA approach to measuring efficiency in the provision of public services. International Transactions In Operational Research, 25(2), 715-735.
[25] Salari Boron, M. & Zandieh, M. (2016). Measuring the efficiency of internet shops using a multi stages DEA model, Management Research in Iran, 20(3), 127-151.
[26] Galagedera, D., Roshdi, I., Fukuyama, H., Zhu, J. (2018). A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds, Omega, 77(C), 168-179.
[27] Lozano, S., Khezri, S. (2019). Network DEA smallest improvement approach, Omega, 98(C), doi: https://doi.org/10.1016/j.omega.2019.102140.
[28] Sengupta, J. K. (1995). Dynamics of Data Envelopment Analysis: Theory of systems Efficiency. London, Kluwer Academic Publishers, Dordercht.
[29] Kao, C. (2013). Dynamic data envelopment analysis: A relational analysis. European Journal of Operational Research, 227(2), 325-330..
[30] Tone, k., & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38, (3-4), 145-156.
[31] Lu, C., Chen, X., Hsieh, C. L., Chou, K. (2019). Dynamic energy efficiency of slack-based measure in high-income economies, Energy Science and Engineering, 7(3), 943-961.
[32] Kiani, R. & Kiani, N. (2021). National eco-innovation analysis with big data: A common-weight model for dynamic DEA, Technological Forecasting & Social Change, 162, 120369.
[33] Tone, T., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega, 42(1), 124-131.
[34] Meng, M. & Pang T. (2022). Operational efficiency analysis of Chinas electric power industry using a dynamic network slack-based measure model, Energy, 251(C).
[35] Tone, K., Kweh, Q. L., Lu, W., Ting, L. (2019). Modeling Investments in the Dynamic Network Performance of insurance Companies. Omega, 88, 237-247.
[36] Wanke, P., Azad, M., Emrouznejad, A., Antunes, J. (2019). A dynamic network DEA model for accounting and financial indicators: A case of efficiency in Mena banking. International Review of Economics and Finance, 61(C), 52-68.
[37] Barrio, M., Gomez, M., Gomez, J. & Herrero, L. (2021). Urban public libraries: Performance analysis using dynamic-network DEA, Socio-Economic Planning Sciences, 74(C)..
[38] Chen., C., M. (2009). A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks. European Journal of Operational Research, 194(3), 687-699.
[39] Barrio, M. & Herrero, L. (2022). Analysing productivity and technical change in museums: a dynamic network approach, Journal of Cultural Heritage, 53, 24-34.
[40] Avkiran, N.K., (2015), “An illustration of dynamic network DEA in commercial banking including robustness tests”, Omega 55, 141-150.
[41] Liu, J., Pang, K., Li, L., Fu, C., Guo, J. (2011). Two-stage Evaluation Method of Dynamic Network DEA, Advanced Materials Research, 204(2), 583-588.
[42] Wu, Y., Ting, I., Lu, W., Nourani, M., Kweh, Q. (2016). The impact of earning management on the performance of ASEAN banks, Economic Modelling, 53, 156-165.
[43] Fukuyama, H., & Weber, W.L. (2017). Japanese bank productivity, 2007-2012: A dynamic network approach. Pacific Economic Review, 22(4), 649-676.
[44] Zhou, X., Xu, Z., Chai, J., Yao, L., Wang, S., Lev, B. (2018). Efficiency evaluation for banking systems under uncertainty: A multi-stage DEA model, Omega, 85, doi: 10.1016/j.omega.2018.05.012.
[45] Lu, C., Chen, X., Lee, S., Hsu, S. & Chou, K. (2022). Two stages performance analysis of Taiwanese IC design industry: a dynamic network slacks-based data envelopment analysis approach, International Journal of Technology Management, 89(1-2), 93-123.
[46] Fukuyama, H., & Matousek, R. (2017). Modelling Bank Performance: A Network DEA Approach, European Journal of Operational Research, 259(2), 721-732.
[47] Wang, K, Huang, W, Wu, J, Liu, YN. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5-20.
[48] Zha, Y., Liang, N., Wu, M. & Bian, Y. (2016). Efficiency evaluation of banks in china: A dynamic two-stage slacks-based measure approach, Omega, 60(C), 60-72, http://dx.doi.org/10.1016/j.omega. 2014.12.008.