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2020 – today
- 2025
[j119]Yu Shi, Vincent Charles, Joe Zhu:
Bank financial sustainability evaluation: Data envelopment analysis with random forest and Shapley additive explanations. Eur. J. Oper. Res. 321(2): 614-630 (2025)- 2024
- [j118]Junfei Chu, Yuting Rui
, Dariush Khezrimotlagh, Joe Zhu:
A general computational framework and a hybrid algorithm for large-scale data envelopment analysis. Eur. J. Oper. Res. 316(2): 639-650 (2024) - 2023
- [j117]Miriam Esteve, Juan Aparicio, Jesús Javier Rodríguez-Sala, Joe Zhu:
Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. Eur. J. Oper. Res. 304(2): 729-744 (2023) - [j116]Geri L. Dimas, Malak El Khalkhali, Alex Bender, Kayse Lee Maass, Renata A. Konrad, Jeffrey S. Blom, Joe Zhu, Andrew C. Trapp:
Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis. INFORMS J. Appl. Anal. 53(6): 408-424 (2023) - [j115]Dariush Khezrimotlagh, Joe Zhu:
The role of unobserved units in two-stage network data envelopment analysis. J. Oper. Res. Soc. 74(5): 1275-1285 (2023) - 2022
- [j114]Joe Zhu:
DEA under big data: data enabled analytics and network data envelopment analysis. Ann. Oper. Res. 309(2): 761-783 (2022) - [j113]Jiawen Liu, Yeming Gong, Joe Zhu, Ryad Titah:
Information technology and performance: Integrating data envelopment analysis and configurational approach. J. Oper. Res. Soc. 73(6): 1278-1293 (2022) - [j112]Dariush Khezrimotlagh, Joe Zhu:
Multivariate returns to scale production frontiers. J. Oper. Res. Soc. 73(6): 1411-1419 (2022) - 2021
- [j111]Yu Shi, Anyu Yu, Huong Ngo Higgins, Joe Zhu:
Shared and unsplittable performance links in network DEA. Ann. Oper. Res. 303(1): 507-528 (2021) - [j110]Dariush Khezrimotlagh, Wade D. Cook, Joe Zhu:
Number of performance measures versus number of decision making units in DEA. Ann. Oper. Res. 303(1): 529-562 (2021) - [j109]Biresh K. Sahoo, Hilda Saleh, Morteza Shafiee, Kaoru Tone, Joe Zhu:
An Alternative Approach to Dealing with the Composition Approach for Series Network Production Processes. Asia Pac. J. Oper. Res. 38(6): 2150004:1-2150004:27 (2021) - [j108]Qian Zhang, Dimitrios Koutmos, Kun Chen, Joe Zhu:
Using Operational and Stock Analytics to Measure Airline Performance: A Network DEA Approach. Decis. Sci. 52(3): 720-748 (2021) - [j107]Anyu Yu, Yu Shi, Jianxin You, Joe Zhu:
Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach. Eur. J. Oper. Res. 292(1): 199-212 (2021) - [j106]Junfei Chu, Joe Zhu:
Production scale-based two-stage network data envelopment analysis. Eur. J. Oper. Res. 294(1): 283-294 (2021) - [j105]Wanghong Li, Wade D. Cook, Zhepeng Li, Joe Zhu:
Efficiency measurement for hierarchical situations. J. Oper. Res. Soc. 72(3): 654-662 (2021) - [j104]Vincent Charles, Juan Aparicio, Joe Zhu:
Special Issue Data Science for Better Productivity. J. Oper. Res. Soc. 72(5): 971-974 (2021) - [j103]Yu Shi, Joe Zhu, Vincent Charles:
Data science and productivity: A bibliometric review of data science applications and approaches in productivity evaluations. J. Oper. Res. Soc. 72(5): 975-988 (2021) - [c1]Luis Lopez Ruiz, Vivian Lin, Lucy Fitzgerald, Joe Zhu, Larry Borish, Daniel Quinn, John C. Lach:
Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways. BSN 2021: 1-5 - 2020
- [j102]Kun Chen, Wade D. Cook, Joe Zhu:
A conic relaxation model for searching for the global optimum of network data envelopment analysis. Eur. J. Oper. Res. 280(1): 242-253 (2020) - [j101]Sepideh Kaffash, Roza Azizi, Ying Huang, Joe Zhu:
A survey of data envelopment analysis applications in the insurance industry 1993-2018. Eur. J. Oper. Res. 284(3): 801-813 (2020) - [j100]Dariush Khezrimotlagh, Wade D. Cook, Joe Zhu:
A nonparametric framework to detect outliers in estimating production frontiers. Eur. J. Oper. Res. 286(1): 375-388 (2020) - [j99]Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Joe Zhu:
Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units. Eur. J. Oper. Res. 287(2): 572-582 (2020) - [j98]Chialin Chen, Wade D. Cook, Raha Imanirad, Joe Zhu:
Balancing Fairness and Efficiency: Performance Evaluation with Disadvantaged Units in Non-homogeneous Environments. Eur. J. Oper. Res. 287(3): 1003-1013 (2020) - [j97]Wade D. Cook, Wanghong Li, Zhepeng Li, Liang Liang, Joe Zhu:
Efficiency measurement with products and partially desirable co-products. J. Oper. Res. Soc. 71(2): 335-345 (2020) - [j96]Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Joe Zhu:
Measuring efficiency in DEA in the presence of common inputs. J. Oper. Res. Soc. 71(11): 1710-1722 (2020) - [i1]Malak El Khalkhali, Alex Bender, Geri L. Dimas, Kayse Lee Maass, Renata A. Konrad, Jeffrey S. Blom, Joe Zhu, Andrew C. Trapp:
Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis. CoRR abs/2012.07746 (2020)
2010 – 2019
- 2019
- [j95]Ya Chen, Justin Wang, Joe Zhu, H. David Sherman, Shin-Yi Chou:
How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA. Ann. Oper. Res. 278(1-2): 77-99 (2019) - [j94]Kun Chen, Joe Zhu:
Computational tractability of chance constrained data envelopment analysis. Eur. J. Oper. Res. 274(3): 1037-1046 (2019) - [j93]Dariush Khezrimotlagh, Joe Zhu, Wade D. Cook, Mehdi Toloo:
Data envelopment analysis and big data. Eur. J. Oper. Res. 274(3): 1047-1054 (2019) - [j92]Yeming Gong, Jiawen Liu, Joe Zhu:
When to increase firms' sustainable operations for efficiency? A data envelopment analysis in the retailing industry. Eur. J. Oper. Res. 277(3): 1010-1026 (2019) - [j91]Vincent Charles, Juan Aparicio, Joe Zhu:
The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis. Eur. J. Oper. Res. 279(3): 929-940 (2019) - [j90]Kun Chen, Joe Zhu:
Scale efficiency in two-stage network DEA. J. Oper. Res. Soc. 70(1): 101-110 (2019) - 2018
- [j89]Yande Gong, Joe Zhu, Ya Chen, Wade D. Cook:
DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures. Ann. Oper. Res. 263(1-2): 247-269 (2018) - [j88]Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Francisco Benita, Hector Ceballos, Joe Zhu:
Evaluating the Efficiencies of Academic Research Groups: A Problem of Shared Outputs. Asia Pac. J. Oper. Res. 35(6): 1850042:1-1850042:22 (2018) - [j87]Haibo Zhou, Yi Yang, Yao Chen, Joe Zhu:
Data envelopment analysis application in sustainability: The origins, development and future directions. Eur. J. Oper. Res. 264(1): 1-16 (2018) - [j86]Mahmood Mehdiloozad, Joe Zhu, Biresh K. Sahoo:
Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data. Eur. J. Oper. Res. 265(2): 644-654 (2018) - [j85]Ernesto Del R. Santibanez-Gonzalez, Joe Zhu, Simone Zanoni, Nelson Maculan:
Trends in operational research approaches for sustainability. Eur. J. Oper. Res. 269(1): 1-4 (2018) - 2017
- [j84]Fabienne Miller, Justin Wang, Joe Zhu, Ya Chen, Jason Hockenberry:
Investigation of the Impact of the Massachusetts Health Care Reform on Hospital Costs and Quality of Care. Ann. Oper. Res. 250(1): 129-146 (2017) - [j83]Wanghong Li, Liang Liang, Sonia Valeria Avilés-Sacoto, Raha Imanirad, Wade D. Cook, Joe Zhu:
Modeling efficiency in the presence of multiple partial input to output processes. Ann. Oper. Res. 250(1): 235-248 (2017) - [j82]Wade D. Cook, Juan Du, Joe Zhu:
Units invariant DEA when weight restrictions are present: ecological performance of US electricity industry. Ann. Oper. Res. 255(1-2): 323-346 (2017) - [j81]Ya Chen, Wade D. Cook, Juan Du, Hanhui Hu, Joe Zhu:
Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China. Ann. Oper. Res. 255(1-2): 347-366 (2017) - [j80]Wade D. Cook, Chuanyin Guo, Wanghong Li, Zhepeng Li, Liang Liang, Joe Zhu:
Efficiency Measurement of Multistage Processes: Context Dependent Numbers of Stages. Asia Pac. J. Oper. Res. 34(6): 1750032:1-1750032:18 (2017) - [j79]Wade D. Cook, José L. Ruiz, Inmaculada Sirvent, Joe Zhu:
Within-group common benchmarking using DEA. Eur. J. Oper. Res. 256(3): 901-910 (2017) - [j78]Chuanyin Guo, Roohollah Abbasi Shureshjani, Ali Asghar Foroughi, Joe Zhu:
Decomposition weights and overall efficiency in two-stage additive network DEA. Eur. J. Oper. Res. 257(3): 896-906 (2017) - [j77]Chuanyin Guo, Joe Zhu:
Non-cooperative two-stage network DEA model: Linear vs. parametric linear. Eur. J. Oper. Res. 258(1): 398-400 (2017) - [j76]Kun Chen, Joe Zhu:
Second order cone programming approach to two-stage network data envelopment analysis. Eur. J. Oper. Res. 262(1): 231-238 (2017) - [j75]Jing-Jing Ding, Wei Dong, Liang Liang, Joe Zhu:
Goal congruence analysis in multi-Division Organizations with shared resources based on data envelopment analysis. Eur. J. Oper. Res. 263(3): 961-973 (2017) - [j74]Sungmook Lim, Joe Zhu:
Preface. INFOR Inf. Syst. Oper. Res. 55(3): 159-160 (2017) - 2016
- [j73]Juan Du, Jiazhen Huo, Joe Zhu:
Data Envelopment Analysis with Output-Bounded Data. Asia Pac. J. Oper. Res. 33(6): 1650050:1-1650050:17 (2016) - [j72]Sungmook Lim, Joe Zhu:
A note on two-stage network DEA model: Frontier projection and duality. Eur. J. Oper. Res. 248(1): 342-346 (2016) - [j71]Michael Shwartz, James F. Burgess Jr., Joe Zhu:
A DEA based composite measure of quality and its associated data uncertainty interval for health care provider profiling and pay-for-performance. Eur. J. Oper. Res. 253(2): 489-502 (2016) - [j70]Wanghong Li, Liang Liang, Wade D. Cook, Joe Zhu:
DEA models for non-homogeneous DMUs with different input configurations. Eur. J. Oper. Res. 254(3): 946-956 (2016) - [j69]Jie Wu, Qingyuan Zhu, Wade D. Cook, Joe Zhu:
Best cooperative partner selection and input resource reallocation using DEA. J. Oper. Res. Soc. 67(9) (2016) - 2015
- [j68]Juan Du, Joe Zhu, Wade D. Cook, Jiazhen Huo:
DEA Models for Parallel Systems: Game-Theoretic Approaches. Asia Pac. J. Oper. Res. 32(2): 1550008:1-1550008:22 (2015) - [j67]Raha Imanirad, Wade D. Cook, Sonia Valeria Avilés-Sacoto, Joe Zhu:
Partial input to output impacts in DEA: The case of DMU-specific impacts. Eur. J. Oper. Res. 244(3): 837-844 (2015) - [j66]Sungmook Lim, Joe Zhu:
DEA cross-efficiency evaluation under variable returns to scale. J. Oper. Res. Soc. 66(3): 476-487 (2015) - [j65]Sonia Valeria Avilés-Sacoto, Wade D. Cook, Raha Imanirad, Joe Zhu:
Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage. J. Oper. Res. Soc. 66(11): 1868-1877 (2015) - 2014
- [j64]Juan Du, Justin Wang, Yao Chen, Shin-Yi Chou, Joe Zhu:
Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach. Ann. Oper. Res. 221(1): 161-172 (2014) - [j63]Biresh K. Sahoo, Joe Zhu, Kaoru Tone, Bernhard M. Klemen:
Decomposing technical efficiency and scale elasticity in two-stage network DEA. Eur. J. Oper. Res. 233(3): 584-594 (2014) - [j62]Juan Du, Wade D. Cook, Liang Liang, Joe Zhu:
Fixed cost and resource allocation based on DEA cross-efficiency. Eur. J. Oper. Res. 235(1): 206-214 (2014) - [j61]Sungmook Lim, Kwang Wuk Oh, Joe Zhu:
Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market. Eur. J. Oper. Res. 236(1): 361-368 (2014) - [j60]Wade D. Cook, Joe Zhu:
DEA Cobb-Douglas frontier and cross-efficiency. J. Oper. Res. Soc. 65(2): 265-268 (2014) - 2013
- [j59]Yao Chen, Wade D. Cook, Chiang Kao, Joe Zhu:
Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures. Eur. J. Oper. Res. 226(3): 507-515 (2013) - [j58]Sungmook Lim, Joe Zhu:
Integrated data envelopment analysis: Global vs. local optimum. Eur. J. Oper. Res. 229(1): 276-278 (2013) - [j57]Sungmook Lim, Joe Zhu:
Incorporating performance measures with target levels in data envelopment analysis. Eur. J. Oper. Res. 230(3): 634-642 (2013) - [j56]Sungmook Lim, Joe Zhu:
Corrigendum to: "Incorporating performance measures with target levels in data envelopment analysis" [European Journal of Operational Research 230 (2013) 634-642]. Eur. J. Oper. Res. 231(3): 790 (2013) - [j55]Wade D. Cook, Julie Harrison, Raha Imanirad, Paul Rouse, Joe Zhu:
Data Envelopment Analysis with Nonhomogeneous DMUs. Oper. Res. 61(3): 666-676 (2013) - 2012
- [j54]Chien-Ming Chen, Juan Du, Jiazhen Huo, Joe Zhu:
Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records. Decis. Support Syst. 54(1): 330-335 (2012) - [j53]Hsuan-Shih Lee, Joe Zhu:
Super-efficiency infeasibility and zero data in DEA. Eur. J. Oper. Res. 216(2): 429-433 (2012) - [j52]Juan Du, Chien-Ming Chen, Yao Chen, Wade D. Cook, Joe Zhu:
Additive super-efficiency in integer-valued data envelopment analysis. Eur. J. Oper. Res. 218(1): 186-192 (2012) - [j51]Wade D. Cook, Julie Harrison, Paul Rouse, Joe Zhu:
Relative efficiency measurement: The problem of a missing output in a subset of decision making units. Eur. J. Oper. Res. 220(1): 79-84 (2012) - [j50]Chialin Chen, Joe Zhu, Jiun-Yu Yu, Hamid Noori:
A new methodology for evaluating sustainable product design performance with two-stage network data envelopment analysis. Eur. J. Oper. Res. 221(2): 348-359 (2012) - 2011
- [j49]Juan Du, Liang Liang, Yao Chen, Wade D. Cook, Joe Zhu:
A bargaining game model for measuring performance of two-stage network structures. Eur. J. Oper. Res. 210(2): 390-397 (2011) - [j48]Hsuan-Shih Lee, Ching-Wu Chu, Joe Zhu:
Super-efficiency DEA in the presence of infeasibility. Eur. J. Oper. Res. 212(1): 141-147 (2011) - [j47]Chien-Ming Chen, Joe Zhu:
Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting. Oper. Res. 59(3): 729-741 (2011) - [j46]Wade D. Cook, Joe Zhu:
Multiple Variable Proportionality in Data Envelopment Analysis. Oper. Res. 59(4): 1024-1032 (2011) - [j45]Wade D. Cook, Joe Zhu:
Output-specific input-assurance regions in DEA. J. Oper. Res. Soc. 62(10): 1881-1887 (2011) - 2010
- [j44]Wade D. Cook, Joe Zhu:
Context-dependent performance standards in DEA. Ann. Oper. Res. 173(1): 163-175 (2010) - [j43]Yao Chen, Wade D. Cook, Joe Zhu:
Deriving the DEA frontier for two-stage processes. Eur. J. Oper. Res. 202(1): 138-142 (2010) - [j42]Juan Du, Liang Liang, Joe Zhu:
A slacks-based measure of super-efficiency in data envelopment analysis: A comment. Eur. J. Oper. Res. 204(3): 694-697 (2010) - [j41]Yao Chen, Juan Du, H. David Sherman, Joe Zhu:
DEA model with shared resources and efficiency decomposition. Eur. J. Oper. Res. 207(1): 339-349 (2010) - [j40]Wade D. Cook, Joe Zhu, Gongbing Bi, Feng Yang:
Network DEA: Additive efficiency decomposition. Eur. J. Oper. Res. 207(2): 1122-1129 (2010)
2000 – 2009
- 2009
- [j39]Yao Chen, Liang Liang, Joe Zhu:
Equivalence in two-stage DEA approaches. Eur. J. Oper. Res. 193(2): 600-604 (2009) - [j38]Yao Chen, Wade D. Cook, Ning Li, Joe Zhu:
Additive efficiency decomposition in two-stage DEA. Eur. J. Oper. Res. 196(3): 1170-1176 (2009) - [j37]Wade D. Cook, Joe Zhu:
Piecewise linear output measures in DEA (third revision). Eur. J. Oper. Res. 197(1): 312-319 (2009) - [j36]Wade D. Cook, Liang Liang, Y. Zha, Joe Zhu:
A modified super-efficiency DEA model for infeasibility. J. Oper. Res. Soc. 60(2): 276-281 (2009) - [j35]Wade D. Cook, Feng Yang, Joe Zhu:
Nonlinear inputs and diminishing marginal value in DEA. J. Oper. Res. Soc. 60(11): 1567-1574 (2009) - 2008
- [j34]Wade D. Cook, Joe Zhu:
CAR-DEA: Context-Dependent Assurance Regions in DEA. Oper. Res. 56(1): 69-78 (2008) - [j33]Liang Liang, Jie Wu, Wade D. Cook, Joe Zhu:
The DEA Game Cross-Efficiency Model and Its Nash Equilibrium. Oper. Res. 56(5): 1278-1288 (2008) - 2007
- [j32]Wade D. Cook, Joe Zhu:
Within-group common weights in DEA: An analysis of power plant efficiency. Eur. J. Oper. Res. 178(1): 207-216 (2007) - [j31]Joe Zhu:
Erratum to "Super-efficiency and DEA sensitivity analysis" [European Journal of Operational Research 129 (2) (2001) 443-455]. Eur. J. Oper. Res. 179(1): 277 (2007) - [j30]Wade D. Cook, Joe Zhu:
Classifying inputs and outputs in data envelopment analysis. Eur. J. Oper. Res. 180(2): 692-699 (2007) - 2006
- [j29]Liang Liang, Feng Yang, Wade D. Cook, Joe Zhu:
DEA models for supply chain efficiency evaluation. Ann. Oper. Res. 145(1): 35-49 (2006) - [j28]H. David Sherman, Joe Zhu:
Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application. Ann. Oper. Res. 145(1): 301-319 (2006) - [j27]Yao Chen, Liang Liang, Feng Yang, Joe Zhu:
Evaluation of information technology investment: a data envelopment analysis approach. Comput. Oper. Res. 33: 1368-1379 (2006) - [j26]Wade D. Cook, Joe Zhu:
Rank order data in DEA: A general framework. Eur. J. Oper. Res. 174(2): 1021-1038 (2006) - [j25]Wade D. Cook, Joe Zhu:
Incorporating Multiprocess Performance Standards into the DEA Framework. Oper. Res. 54(4): 656-665 (2006) - 2005
- [j24]Wade D. Cook, Joe Zhu:
Allocation of shared costs among decision making units: a DEA approach. Comput. Oper. Res. 32: 2171-2178 (2005) - [j23]Lawrence M. Seiford, Joe Zhu:
A response to comments on modeling undesirable factors in efficiency evaluation. Eur. J. Oper. Res. 161(2): 579-581 (2005) - [j22]Greg N. Gregoriou, Komlan Sedzro, Joe Zhu:
Hedge fund performance appraisal using data envelopment analysis. Eur. J. Oper. Res. 164(2): 555-571 (2005) - [j21]Zhimin Huang, Susan X. Li, Joe Zhu:
A Special Issue on "data Envelopment Analysis: Theories and Applications" in Honor of William W. Cooper. Int. J. Inf. Technol. Decis. Mak. 4(3): 311-316 (2005) - [j20]Yao Chen, Hiroshi Morita, Joe Zhu:
Context-dependent Dea with an Application to Tokyo Public Libraries. Int. J. Inf. Technol. Decis. Mak. 4(3): 385-394 (2005) - 2004
- [j19]Joe Zhu:
A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models. Eur. J. Oper. Res. 154(1): 150-156 (2004) - [j18]Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Robert M. Thrall, Joe Zhu:
Returns to scale in different DEA models. Eur. J. Oper. Res. 154(2): 345-362 (2004) - [j17]Joe Zhu:
Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company. Oper. Res. 52(2): 323-329 (2004) - [j16]Yao Chen, Joe Zhu:
Measuring Information Technology's Indirect Impact on Firm Performance. Inf. Technol. Manag. 5(1-2): 9-22 (2004) - 2003
- [j15]Yao Chen, Joe Zhu:
DEA Models for Identifying Critical Performance Measures. Ann. Oper. Res. 124(1-4): 225-244 (2003) - [j14]Joe Zhu:
Imprecise data envelopment analysis (IDEA): A review and improvement with an application. Eur. J. Oper. Res. 144(3): 513-529 (2003) - [j13]Joe Zhu:
Efficiency evaluation with strong ordinal input and output measures. Eur. J. Oper. Res. 146(3): 477-485 (2003) - 2002
- [j12]Lawrence M. Seiford, Joe Zhu:
Modeling undesirable factors in efficiency evaluation. Eur. J. Oper. Res. 142(1): 16-20 (2002) - 2001
- [j11]Joe Zhu:
Super-efficiency and DEA sensitivity analysis. Eur. J. Oper. Res. 129(2): 443-455 (2001) - 2000
- [j10]Joe Zhu:
Multi-factor performance measure model with an application to Fortune 500 companies. Eur. J. Oper. Res. 123(1): 105-124 (2000) - [j9]Joe Zhu:
Further discussion on linear production functions and DEA. Eur. J. Oper. Res. 127(3): 611-618 (2000) - [j8]Joe Zhu:
Setting scale efficient targets in DEA via returns to scale estimation method. J. Oper. Res. Soc. 51(3): 376-378 (2000)
1990 – 1999
- 1998
- [j7]Lawrence M. Seiford, Joe Zhu:
An acceptance system decision rule with data envelopment analysis. Comput. Oper. Res. 25(4): 329-332 (1998) - [j6]Lawrence M. Seiford, Joe Zhu:
On piecewise loglinear frontiers and log efficiency measures. Comput. Oper. Res. 25(5): 389-395 (1998) - [j5]Lawrence M. Seiford, Joe Zhu:
Stability regions for maintaining efficiency in data envelopment analysis. Eur. J. Oper. Res. 108(1): 127-139 (1998) - [j4]Lawrence M. Seiford, Joe Zhu:
On alternative optimal solutions in the estimation of returns to scale in DEA. Eur. J. Oper. Res. 108(1): 149-152 (1998) - [j3]Joe Zhu:
Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities. Eur. J. Oper. Res. 111(1): 50-61 (1998) - [j2]Lawrence M. Seiford, Joe Zhu:
Sensitivity analysis of DEA models for simultaneous changes in all the data. J. Oper. Res. Soc. 49(10): 1060-1071 (1998) - 1996
- [j1]Joe Zhu:
DEA/AR analysis of the 1988-1989 performance of the Nanjing textiles corporation. Ann. Oper. Res. 66(5): 311-335 (1996)
Coauthor Index
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