References
- An, Q., Wang, P., Emrouznejad, A., & Hu, J. (2020). Fixed cost allocation based on the principle of efficiency invariance in two-stage systems. European Journal of Operational Research, 283(2), 662–675. https://doi.org/10.1016/j.ejor.2019.11.031
- An, Q., Wen, Y., Chu, J., & Chen, X. (2019a). Profit inefficiency decomposition in a serial-structure system with resource sharing. Journal of the Operational Research Society, 70(12), 2112–2126. https://doi.org/10.1080/01605682.2018.1510810
- An, Q., Wen, Y., Ding, T., & Li, Y. (2019b). Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method. Omega, 85, 16–25. https://doi.org/10.1016/j.omega.2018.05.008
- 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
- Borrero, D. V., Hinojosa, M. A., & Mármol, A. M. (2016). DEA production games and Owen allocations. European Journal of Operational Research, 252(3), 921–930. https://doi.org/10.1016/j.ejor.2016.01.053
- Castelli, L., Pesenti, R., & Ukovich, W. (2004). DEA-like models for the efficiency evaluation of hierarchically structured units. European Journal of Operational Research, 154(2), 465–476. https://doi.org/10.1016/S0377-2217(03)00182-6
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
- Chen, X., Wang, X., & Zhou, M. (2019). Firms’ green R&D cooperation behaviour in a supply chain: Technological spillover, power and coordination. International Journal of Production Economics, 218, 118–134. https://doi.org/10.1016/j.ijpe.2019.04.033
- Chen, C., & Yan, H. (2011). Network DEA model for supply chain performance evaluation. European Journal of Operational Research, 213(1), 147–155. https://doi.org/10.1016/j.ejor.2011.03.010
- Färe, R., & Grosskopf, S. (1996). Productivity and intermediate products: A frontier approach. Economics Letters, 50(1), 65–70. https://doi.org/10.1016/0165-1765(95)00729-6
- Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
- Gately, D. (1974). Sharing the gains from regional cooperation: A game theoretic application to planning investment in electric power. International Economic Review, 15(1), 195–208. https://doi.org/10.2307/2526099
- He, Y., Xu, Q., Xu, B., & Wu, P. (2016). Supply chain coordination in quality improvement with reference effects. Journal of the Operational Research Society, 67(9), 1158–1168. https://doi.org/10.1057/jors.2016.10
- Hinojosa, M. A., Lozano, S., & Mármol, A. M. (2018). DEA production games with fuzzy output prices. Fuzzy Optimization and Decision Making, 17(4), 401–419. https://doi.org/10.1007/s10700-017-9278-8
- Koronakos, G. (2019). A taxonomy and review of the network data envelopment analysis literature. In G. Tsihrintzis, M. Virvou, E. Sakkopoulos, and L. Jain (Eds.), Machine learning paradigms (pp. 255–311). Springer.
- Liu, J., Gong, Y., Zhu, J., & Titah, R. (2021). Information technology and performance: Integrating data envelopment analysis and configurational approach. Journal of the Operational Research Society, 1–16. https://doi.org/10.1080/01605682.2021.1907238
- Lozano, S. (2012). Information sharing in DEA: A cooperative game theory approach. European Journal of Operational Research, 222(3), 558–565. https://doi.org/10.1016/j.ejor.2012.05.014
- Lozano, S. (2013). DEA production games. European Journal of Operational Research, 231(2), 405–413. https://doi.org/10.1016/j.ejor.2013.06.004
- Lozano, S., Hinojosa, M. A., & Mármol, A. M. (2015). Set-valued DEA production games. Omega, 52, 92–100. https://doi.org/10.1016/j.omega.2014.10.002
- Lozano, S., Hinojosa, M. A., Mármol, A. M., & Borrero, D. V. (2016). DEA and cooperative game theory. In S.-N. Hwang, H.-S. Lee, & J. Zhu (Eds.), Handbook of operations analytics using data envelopment analysis (pp. 215–239). Springer.
- Peleg, B., & Sudhölter, P. (2007). Introduction to the theory of cooperative games (Vol. 34). Springer Science & Business Media.
- Shapley, L. S., & Shubik, M. (1954). A method for evaluating the distribution of power in a committee system. American Political Science Review, 48(3), 787–792. https://doi.org/10.2307/1951053
- Straffin, P. D., & Heaney, J. P. (1981). Game theory and the Tennessee valley authority. International Journal of Game Theory, 10(1), 35–43. https://doi.org/10.1007/BF01770069
- Summerfield, N. S., Deokar, A. V., Xu, M., & Zhu, W. (2021). Should drivers cooperate? Performance evaluation of cooperative navigation on simulated road networks using network DEA. Journal of the Operational Research Society, 72(5), 1042–1057.
- Wang, H., Guo, M., & Efstathiou, J. (2004). A game-theoretical cooperative mechanism design for a two-echelon decentralized supply chain. European Journal of Operational Research, 157(2), 372–388. https://doi.org/10.1016/S0377-2217(03)00233-9
- Yang, G., Ren, X., Khoveyni, M., & Eslami, R. (2020). Directional congestion in the framework of data envelopment analysis. Journal of Management Science and Engineering, 5(1), 57–75.
- Zhu, N., Zhu, C., & Emrouznejad, A. (2020). A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies. Journal of Management Science and Engineering. https://doi.org/10.1016/j.jmse.2020.10.001