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165. |
Khezrimotlagh, D., and Zhu, Joe, Implementing no free disposability in data envelopment analysis,
European Journal of Operational Research, in press.
|
|
164. |
Shi, Y., Zhu, Joe, and Charles, V., Bank financial sustainability evaluation: data envelopment analysis with random forest and Shapley additive explanations,
European Journal of Operational Research, Volume 321 (2025) Issue 2, 614-630.
|
|
163. |
Chu, J., Rui, Y., Khezrimotlagh, D., and Zhu, Joe, A General Computational Framework and A Hybrid Algorithm for Large-scale Data Envelopment Analysis,
European Journal of Operational Research,, Vol. 316 (2024), Issue 2, 639-650.
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162. |
Geri L. Dimas, G.L., Khalkhali, M. E., Bender, A., Maass, K.L., Konrad, R.A., Blom, J.S. Zhu, Joe, and, Trapp, A.C., Estimating effectiveness of
identifying human trafficking via data envelopment analysis,
INFORMS Journal on Applied Analytics, Vol. 56 (2023), No. 6, 408-424.
|
|
161. |
Khezrimotlagh, D., and Zhu, Joe, The role of unobserved units in two-stage network data envelopment analysis,
Journal of the Operational Research Society, Vol. 74 (2023), No. 5, 1275–1285.
|
|
160. |
Esteve, M., Aparicio, J., Rodriguez-Sala, J.J., and Zhu, Joe, Random forests and the measurement of
super-efficiency in the context of free disposal hull,
European Journal of Operational Research, Vol. 304 (2023), Issue 2, 729-744.
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|
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159. |
Khezrimotlagh, D., and Zhu, Joe, Multivariate returns to scale production frontiers,
Journal of the Operational Research Society, Vol. 73 (2022), No. 6, 1411–1419.
|
|
158. |
Liu, J., Gong, Y., Zhu, Joe, and Titah, R., Information technology and performance: Integrating data envelopment analysis
and configurational approach,
Journal of the Operational Research Society, Vol. 73 (2022), No. 6, 1278–1293.
|
|
157. |
Khezrimotlagh, D., Kaffash, S., and Zhu, Joe, U.S. airlines mergers’ performance and productivity change,
, Journal of Air Transport Management, Volume 102 (2022), July, 102226.
|
|
156. |
Zhu, Joe, DEA under big data: data enabled analytics and network data envelopment analysis,
Annals of Operations Research, Vol. 309, (2022), Issue 2, 761-783.
|
|
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155. |
Sahoo, B.K., Saleh, H., Shafiee, M., Kaoru Tone, T. and Zhu, Joe, An alternative approach to dealing with the
composition approach for series network production processes,Asia-Pacific Journal of Operational Research, Vol. 33 (2021),
Issue 1-2, 507-528.
|
|
154. |
Shi, Y., Yu, A., Higgins, H., and Zhu, Joe, Shared and unsplittable performance links in network DEA,
Annals of Operations Research, Vol. 33 (2021), Issue 1-2, 507-528.
|
|
153. |
Khezrimotlagh, D., Cook, W.D., and Zhu, Joe, Number of performance measures versus number of decision making units in DEA,
Annals of Operations Research, Vol. 33 (2021), Issue 1-2, 529-562.
|
|
152. |
Zhang, Q., Koutmos, D., Chen, K., and Zhu, Joe, Using operational and stock analytics to measure airline performance: network DEA approach,
Decision Sciences, Vol. 52 (2021), No. 3, 720-748.
|
|
151. |
Chu, J. and Zhu, Joe, Production scale-based two-stage network data envelopment analysis,
European Journal of Operational Research, Vol. 294, (2021), Issue 1, 283-294.
|
|
150. |
Shi, Y., Zhu, Joe, and Charles, V., Data science and productivity: A bibliometric review of data science applications
and approaches in productivity evaluations,
Journal of the Operational Research Society, Vol. 72 (2021), Issue 5, 975-988.
|
|
149. |
Yu, A., Shi, Y., You, J, and Zhu, Joe, Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach,
European Journal of Operational Research, Vol. 292, (2021), Issue 1, 199-212.
|
|
148. |
Kaffash, S., Nguyen, A.T., and Zhu, Joe, Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis,
International Journal of Production Economics, Vol. 231 (2021), January, 107868.
|
|
|
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147. |
Li, W., Cook, W.D., Li, Z, and Zhu, Joe, Efficiency measurement for hierarchical situations,
Journal of the Operational Research Society, Vol. 72 (2020), Issue 3, 654-662.
|
|
146. |
Avilés-Sacoto, S., Cook, W.D., Güemes-Castorena, D., and Zhu, Joe, Measuring efficiency in DEA in the presence of common inputs,
Journal of the Operational Research Society, Vol. 71 (2020), No. 11, 1710-1722.
|
|
145. |
Chen, C., Cook, W.D., Imanirad, R., and Zhu, Joe, Balancing fairness and efficiency in performance evaluation in non-homogeneous environments:
The case of hybrid versus conventional vehicles,
European Journal of Operational Research, Vol. 287 (2020), Issue 3, 1003-1013.
|
|
144. |
Avilés-Sacoto, S., Cook, W.D., Güemes-Castorena, D., and Zhu, Joe, Modelling efficiency in regional innovation systems: A two-stage data envelopment
analysis problem with shared outputs within groups of decision-making units,
European Journal of Operational Research, Vol. 287 (2020), Issue 2, 572-582.
|
|
143. |
Khezrimotlagh, D., Cook, W.D., and Zhu, Joe, A Nonparametric framework to detect outliers in estimating production frontiers,
European Journal of Operational Research, Vol. 286 (2020), Issue 1, 375-388.
|
|
142. |
Kaffash, S., Azizi, R., Huang, Y. and Zhu, Joe, A survey of data envelopment analysis applications in the insurance industry 1993-2018,
European Journal of Operational Research, Vol. 284 (2020), Issue 3, 801-813.
|
|
141. |
Cook, W.D., Li, W-H, Li, Z, Liang, L., and Zhu, Joe, Efficiency measurement with products and partially desirably co-products,
Journal of the Operational Research Society, Vol. 71 (2020), Issue 2, 335-345.
|
|
140. |
Chen, K., and Zhu, Joe, Additive slacks-based measure: computational strategy and extension to network DEA,
OMEGA, Vol. 91, March (2020), 102022.
|
|
139. |
Chen, K., Cook, W.D., and Zhu, Joe, A conic relaxation model for searching global optimum of network data envelopment analysis,
European Journal of Operational Research, Vol. 280, Issue 1 (2020), 242-253.
|
|
|
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138. |
Charles, V., Aparicio, J., and Zhu, Joe, The curse of dimensionality of decision-making units: A simple approach to increase
the discriminatory power of data envelopment analysis,
European Journal of Operational Research, Vol. 279, Issue 3 (2019), 929-940.
|
|
137. |
Chen, Y., Wang, J., Zhu, Joe, Sherman, H.D. and Chou, S-Y, How the great recession affects
performance: A case of Pennsylvania hospitals using DEA,
Annals of Operations Research, Vol. 278, Issue 1-2 (2019), 77-99.
|
|
136. |
Gong, Y., Liu, J., and Zhu, Joe, When to increase firms’ sustainable operations for efficiency?
A data envelopment analysis in the retailing industry,
European Journal of Operational Research, Vol. 277, Issue 3 (2019), 1010-1026.
|
|
135.
|
Chen, K, and Zhu, Joe, Scale efficiency in two-stage network DEA,
Journal of the Operational Research Society, Vol. 70, Issue 1 (2019), 101-110.
|
|
134. |
Khezrimotlagh, D., Zhu, Joe, Cook, W.D., and Toloo, M., Data envelopment analysis and big data,
European Journal of Operational Research, Vol. 274, Issue 3 (2019), 1047-1054.
|
|
133. |
Chen, K., and Zhu, Joe, Computational tractability of chance constrained data envelopment analysis,
European Journal of Operational Research, Vol. 274, Issue 3 (2019), 1037-1046.
|
|
132.
|
Cook, W.D., Ramón, N., Ruiz, J.L., Sirvent, I., and Zhu, Joe, Goal-adjusted benchmarking for performance evaluation
in pay-for-performance incentive plans,
OMEGA, Vol. 84 (2019), 45-54.
|
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131.
|
Lim, S., and Zhu, Joe, Primal-dual correspondence and frontier projections in two-stage network DEA models,
OMEGA, Vol. 83 (2019), 236-248.
|
|
|
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130. |
Avilés-Sacoto, S., Cook, W.D, Güemes-Castorena, Benita, D.F. Ceballos, H. and Zhu, Joe, Evaluating the efficiencies of academic research groups:
A problem of shared outputs,
Asia-Pacific Journal of Operational Research, Vol. 35, No. 6 (2018), 1850042 (22 pages).
|
|
129. |
Liu, J., Gong, Y., Zhu, Joe, and Zhang, J., A DEA-based approach for competitive environment analysis in global operations strategies,
International Journal of Production Economics, Vol. 203 (2018), 110-123.
|
|
128.
|
He, Weijun, Yang, Y., Wang, Z., and Zhu, Joe, Estimation and
allocation of cost savings from collaborative CO2 abatement in China,
Energy Economics, Vol. 72 (2018), 62-74.
|
|
127.
|
Gong, Y., Zhu, Joe, Chen, Y., and Cook, W.D., DEA as a tool for auditing: Application to Chinese manufacturing
industry with parallel network structures, Annals of Operations Research, Vol. 263 (2018), Issue 1-2, 247–269.
|
|
126.
|
Galagedera, D.U.A., Roshdi, I., Fukuyama, H. and Zhu, Joe, A new network DEA model for mutual fund performance appraisal:
An application to U.S. equity mutual funds,
OMEGA, Vol. 77 (2018), 168-179.
|
|
125.
|
Mehdiloozad, M., Zhu, Joe, and Sahoo, B., Identification of congestion in data envelopment analysis under the occurrence of multiple projections:
A reliable method capable of dealing with negative data,
European Journal of Operational Research, Vol. 265, Issue 2 (2018), 644-654.
|
|
124.
|
Li, H., Chen, C-L, Cook, W.D., Zhang, J., and Zhu, Joe, Two-stage network DEA: Who is the leader?
OMEGA, Vol. 74 (2018), 15-19.
|
|
123.
|
Zhou, H., Yang, Yi., Chen, Y., and Zhu, Joe, Data envelopment analysis application in sustainability:
The origins, development and future directions, European Journal of Operational Research,
Vol. 264, Issue 1 (2018), 1-16.
|
|
|
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122.
|
Cook, W.D., Guo, C., Zhu, Joe, Li, W-H, Li, Z., and Liang, L., Efficiency measurement of multistage processes:
context dependent numbers of stages,
Asia-Pacific Journal of Operational Research, Vol. 31, Issue 6 (2017), 1750032 [18 pages].
|
|
121.
|
Ding, J-J, Dong, W., Liang, L., and Zhu, Joe, Goal congruence analysis in multi-division organization
with shared resources based on data envelopment analysis
European Journal of Operational Research, Vol. 263, Issue 3 (2017), 961-973.
|
|
120.
|
Chen, Y., Cook, W.D., Du, J., Hu, H. and Zhu, Joe, Bounded and discrete data and Likert scales in data envelopment analysis:
Application to regional energy efficiency in China, Annals of Operations Research
Vol. 255, Issue 1-2 (2017), 347-366.
|
|
119.
|
Cook, W.D., Du, J., and Zhu, Joe, Units invariant DEA when weight restrictions are present:
Ecological performance of US electricity industry Annals of Operations Research,
Vol. 255, Issue 1-2 (2017), 323-346.
|
|
118.
|
Chen, K, and Zhu, Joe, Second order cone programming approach to two-stage network data envelopment analysis,
European Journal of Operational Research, Vol. 262, Issue 1 (2017), 231-238.
|
|
117.
|
Li, W.H., Liang, L., Aviles-Sacoto, S., Imanirad, R., Cook, W.D., and Zhu, Joe, Modeling efficiency in the presence of multiple partial input to output processes,
Annals of Operations Research, Vol. 250, Issue 1 (2017), 235-248.
|
|
116.
|
Miller, F., Wang, J., Zhu, Joe, Chen, Y., and Hockenberry, J.,
Investigation of the impact of the Massachusetts health care reform on hospital costs
and quality of care, Annals of Operations Research, Vol. 250, Issue 1 (2017), 129-146.
|
|
115.
|
Guo, C. and Zhu, Joe, Non-cooperative two-stage network DEA model: Linear vs. parametric linear,
European Journal of Operational Research, Vol. 258, Issue 1 (2017), 398-400.
|
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114.
|
Guo, C., Abbasi Shureshjani, R., Foroughi, A. and Zhu, Joe, Decomposition weights and overall efficiency in two-stage additive network DEA,
European Journal of Operational Research, Vol. 257, Issue 3 (2017), 896-906.
|
|
113.
|
Cook, W.D., Ruiz, J.L., Sirvent, I. and Zhu, Joe, Within-group common benchmarking using DEA, European Journal of Operational Research, Vol. 256, Issue 3 (2017), 901-910.
|
|
|
|
112.
|
Wu, J., Zhu, Q.Y., Cook, W.D., and Zhu, Joe, Best cooperative partner selection and input resource
reallocation using DEA, Journal of the Operational Research Society, Vol. 67, Issue 9 (2016), 1221–1237.
|
|
111.
|
Du, J., Huo, J-Z, and Zhu, Joe, Data envelopment analysis with output-bounded data,
Asia-Pacific Journal of Operational Research, Vol. 33, Number 6 (2016), 1650050 [17 pages].
|
|
110.
|
Li, W, Liang, L., Cook, W.D., and Zhu, Joe, DEA models for non-homogeneous DMUs with different input configurations, European Journal of Operational Research,
Vol. 254, Issue 3 (2016), 946-956.
|
|
109.
|
Shwartz, M., Burgess, J.F. Jr, and Zhu, Joe, A DEA based composite measure of quality and its associated data uncertainty interval
for health care Provider profiling and pay-for-performance, European Journal of Operational Research, Vol. 253, Issue 2 (2016), 489-502.
|
|
108.
|
Lim, S., and Zhu, Joe, A note on two-stage network DEA model:
frontier projection and duality, European Journal of Operational Research,
Vol. 248. Issue 1 (2016), 342-346.
|
|
|
|
107.
|
Aviles-Sacoto, S., Cook, W.D., Imanirad, R., and Zhu, Joe, Two-stage network DEA: When intermediate measures can be treated as
outputs from the second stage, Journal of the Operational Research Society, Vol. 66, Issue 11 (2015), 1868-1877.
|
|
106.
|
Imanirad, R., Aviles-Sacoto, S., Cook, W.D., and Zhu, Joe, Partial input to output impacts in DEA:
The case of DMU-specific impacts, European Journal of Operational Research, Vol. 244, Issue 3 (2015), 837-844.
|
|
105.
|
Du, J., Zhu, Joe, Cook, W.D., and Huo, J-Z, DEA models for parallel systems: game-theoretic approaches,
Asia-Pacific Journal of Operational Research, Vol. 32, No. 2 (2015), 1550008 (22 pages).
|
|
104.
|
Lim, S., and Zhu, Joe, DEA Cross-efficiency evaluation
under variable returns to scale, Journal of the Operational Research Society,
Vol. 66, Issue 3 (2015), 476-487.
|
|
|
|
103.
|
Du, J., Wang, J., Chen, Y., Chou, S-Y, and
Zhu, Joe, Incorporating health outcomes in Pennsylvania hospital efficiency:
An additive super-efficiency DEA approach, Annals of Operations Research,
Vol. 221, Issue 1 (2014), 161-172.
|
|
102.
|
Park, J., Lee, D., and Zhu, Joe,
An integrated approach for ship block manufacturing process performance evaluation:
Case from a Korean shipbuilding company, International Journal of Production
Economics, Vol. 156 (2014), 214-222.
|
|
101.
|
Lim, S., Oh, K.W., and Zhu, Joe, Use of DEA
cross-efficiency evaluation in portfolio selection: an application to Korean
stock market, European Journal of Operational Research, Vol. 236
(2014), 361-368.
|
|
100.
|
Du, J., Cook, W.D., Liang, L., and Zhu, Joe,
Fixed cost and resource allocation based on DEA cross-efficiency, European
Journal of Operational Research, Vol. 235 (2014), 206-214.
|
|
99.
|
Cook, W.D., and Zhu, Joe, DEA Cobb-Douglas
frontier and cross-efficiency, Journal of the Operational Research Society,
Vol. 65, Issue 2 (2014), 265-268.
|
|
98.
|
Cook, W.D., Tone, K., and Zhu, Joe, Data envelopment
analysis: Prior to choosing a model, OMEGA, Vol. 44 (2014), 1-4.
|
|
97.
|
Sahoo, Biresh K., Zhu, Joe, Tone, K., and
Klemen, B.M., Decomposing technical efficiency and scale elasticity in two-stage network DEA, European
Journal of Operational Research, Vol. 233, Issue 3 (2014), 584-594.
|
|
|
|
96.
|
Cook, W.D., Harrison, J., Imanirad, R., Rouse,
P., and Zhu, Joe, Data envelopment analysis with non-homogeneous DMUs, Operations
Research,
Vol. 61, No. 3 (2013), 666-676.
|
|
95.
|
Lim, S., and Zhu, Joe, Incorporating
performance measures with target levels in data envelopment analysis,
European Journal of Operational Research, Vol. 230, Issue 3 (2013), 634-642.
[Corrigendum
EJOR, Vol. 231, Issue 3 (2013), p 790.]
|
|
94.
|
Sherman, H.D., and Zhu, Joe, Analyzing
performance in service organizations, Sloan Management Review, Vol. 54, No. 4
(Summer 2013), 36-42. [translated
and published: Analizar el desempeño en organizaciones de servivio, Harvard
Deusto business review, No. 228 (2013), 6-15.]
|
|
93.
|
Imanirad, R., Cook, W.D., and Zhu, Joe,
Partial input to
output impacts in DEA: Production considerations and resource sharing among
business subunits, Naval Research Logistics, Vol. 60, Issue 3 (2013),
190-207.
|
|
92.
|
Lim, S., and Zhu, Joe, Integrated data
envelopment analysis: Global vs local optimum, European Journal of
Operational Research, Vol. 229, Issue 1 (2013), 276-278.
|
|
91.
|
Chen, Y., Cook, W.D., Kao, C., and Zhu, Joe, Network
DEA pitfalls: Divisional efficiency and frontier projection under
general network structures, European Journal of Operational Research,
Vol. 226 (2013), 507-515.
|
|
|
|
90.
|
Premachandra, I.M., Zhu, Joe, Watson, J., and
Galagedera, D.U.A., Best-performing US mutual fund families from 1993 to
2008: Evidence from a novel two-stage DEA model for efficiency decomposition,
Journal of Banking and Finance, Vol. 36, Issue 12 (2012), 3302-3317.
|
|
89.
|
Chen, C-M, Du, J. Huo, J., and Zhu, Joe, Undesirable
factors in integer-valued DEA: Evaluating the operational efficiencies of
city bus systems considering safety records, Decision Support Systems,
Vol. 54 (2012), 330-335.
|
|
88.
|
Chen, C-L, Zhu, Joe, Yu, J-Y, and Noori, H., A
new methodology for evaluating sustainable product design performance with
two-stage network data envelopment analysis, European Journal of
Operational Research, Vol. 221, Issue 2 (2012), 348-259.
|
|
87.
|
Cook, W.D., Harrison, J., Rouse, P., and Zhu,
Joe, Relative efficiency measurement: The problem of a missing output in a
subset of decision making units, European Journal of Operational Research,
Vol. 220, Issue 1 (2012), 79-84.
|
|
86.
|
Du, J., Chen, C-M, Chen, Y., Cook, W.D., and
Zhu, Joe, Additive super-efficiency in integer-valued data envelopment analysis,
European Journal of Operational Research, Vol. 218 (2012), 186-192.
|
|
85.
|
Lee, H-S, and Zhu, Joe, Super-efficiency
infeasibility and zero data in DEA, European Journal of Operational
Research, Vol. 216 (2012), 429-433.
|
|
|
|
84.
|
Cook, W.D., and Zhu, Joe, Multiple variable
proportionality in data envelopment analysis, Operations Research,
Vol. 59, No. 4 (2011), 1024-1032.
|
|
83.
|
Cook, W.D., and Zhu, Joe, Output-specific
input-assurance regions in DEA, Journal of the Operational Research
Society, Vol. 62 (2011), 1881-1887.
|
|
82.
|
Zhu, Joe, Airlines performance via two-stage
network DEA approach, Journal of CENTRUM Cathedra, Vol. 4, Issue 2
(2011), 260-269.
|
|
81.
|
Chen, C-M, and Zhu, Joe, Efficient resource
allocation via efficiency bootstraps: An application to R&D project budgeting,
Operations Research, Vol. 59 (2011), May-June, pp. 729-741.
|
|
80.
|
Lee, H-S, Chu, C-W, and Zhu, Joe,
Super-efficiency DEA in the presence of infeasibility
, European Journal of Operational Research, Vol. 212 (2011),
141-147.
|
|
79.
|
Liang, L., Li, Z-Q, Cook, W.D., and Zhu, Joe, Data
envelopment analysis efficiency in two-stage networks with feedback, IIE
Transactions, Vol. 43 (2011), 309-322.
|
|
78.
|
Du, J., Liang, L., Chen, Y., Cook, W.D., and
Zhu, Joe, A bargaining game model for measuring performance of two-stage
network structures, European Journal of Operational Research, Vol.
210, Issue 2 (2011), 390-397.
|
|
|
|
77.
|
Cook, W.D., Zhu, Joe, Bi, G-B, and Yang, F.,
Network DEA: Additive efficiency decomposition, European Journal of
Operational Research, Vol. 207, Issue 2 (2010), 1122-1129.
|
|
76.
|
Chen, Y., Du, J., Sherman, H.D., and Zhu, Joe,
DEA model with shared resources and efficiency decomposition, European
Journal of Operational Research, Vol. 207 (2010), 339-349.
|
|
75.
|
Cook, W.D., Liang, L., and Zhu, Joe, Measuring
performance of two-stage network structures by DEA: A review and future perspective,
OMEGA, Vol. 38 (2010), 423-430.
|
|
74.
|
Cook, W.D., and Zhu, Joe, Context-dependent
performance standards in DEA, Annals of Operations Research, Vol. 173,
No. 1 (2010), 163-175.
|
|
73.
|
Du, J., Liang, L., and Zhu, Joe, A
slacks-based measure of super-efficiency in data envelopment analysis: A
Comment, European Journal of Operational Research, Vol. 204 (2010),
694-697.
|
|
72.
|
Chen, Y., Cook, W.D., and Zhu, Joe, Deriving
the DEA frontier for two-stage processes, European Journal of Operational
Research, Vol. 202 (2010), 138-142.
|
|
|
|
71.
|
Cook, W.D., and Zhu, Joe, Piecewise linear
output measures in DEA, European Journal of Operational Research, Vol.
197 (2009), 312-319.
|
|
70.
|
Cook, W.D. Yang, F., and Zhu, Joe, Nonlinear
inputs and diminishing marginal value in DEA, Journal of the Operational
Research Society, Vol. 60, No. 11 (2009), 1567-1574.
|
|
69.
|
Chen, Y., Cook, W.D., Li, N., and Zhu, Joe,
Additive efficiency decomposition in two-stage DEA, European Journal of
Operational Research, Vol. 196 (2009), 1170-1176.
|
|
68.
|
Cook, W.D., Liang, L., Zha, Y., and Zhu, Joe,
A modified super-efficiency DEA model for infeasibility, Journal of the
Operational Research Society, Vol. 69 (2009), 276-281.
|
|
67.
|
Chen, Y., Liang, L., and Zhu, Joe, Equivalence
in two-stage DEA approaches, European Journal of Operational Research,
Vol. 193 (2009), Issue 2, 600-604.
|
|
|
|
66.
|
Liang, L., Wu, J., Cook, W.D., and Zhu, Joe,
The DEA game cross efficiency model and its Nash equilibrium, Operations
Research, Vol. 56, No. 5 (2008), 1278-1288.
|
|
65.
|
Liang, L., Cook, W.D., and Zhu, Joe, DEA
Models for two-stage processes: Game approach and efficiency decomposition, Naval
Research Logistics, Vol. 55 (2008), 643-653.
|
|
64.
|
Liang, L., Wu, J., Cook, W.D., and Zhu, Joe,
Alternative secondary goals in DEA cross-efficiency evaluation, International
Journal of Production Economics, Vol. 113 (2008), 1025-1030.
|
|
63.
|
Cook, W.D., and Zhu, Joe, CAR-DEA: Context-dependent
assurance regions in DEA, Operations Research, Vol. 56, No. 1 (2008),
69-78.
|
|
62.
|
Cooper, W.W., Huang, Z., Li, S., and Zhu,
Joe, A response to the critiques of DEA by Dmitruk and Koshevoy, and Bol, Journal
of Productivity Analysis, Vo. 29, No. 1 (2008), 15-21.
|
|
|
|
61.
|
Cooper, W.W., Seiford, L.M., Tone, K., and
Zhu, Joe, Some models and measures for evaluating performances with DEA: Past
accomplishments and future prospects, Journal of Productivity Analysis,
Vol. 28, No. 3 (2007), 151-163.
|
|
60.
|
Gregorious, G.N., and Zhu, Joe, Data
envelopment analysis – a way to assess the efficiency of funds of hedge
funds, Journal of Portfolio Management, Vol. 33, No. 2 (2007),
120-132.
|
|
59.
|
Cook, W.D., and Zhu, Joe, Classifying inputs
and outputs in data envelopment analysis, European Journal of Operational
Research, Vol. 180, Issue 2 (2007), 692-699.
|
|
58.
|
Cook, W.D., and Zhu, Joe, Within-group common
weights in DEA: An analysis of power plant efficiency, European Journal of
Operational Research, Vol. 178, Issue 1 (2007), 207-216.
|
|
|
|
57.
|
Sherman, D.H., and Zhu, Joe, Benchmarking with
quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service:
Evidence from a U.S. bank application, Annals of Operations Research,
Vol. 145, No. 1 (2006), 301-319.
|
|
56.
|
Liang, L., Yang, F. Cook, W.D., and Zhu, Joe,
DEA models for supply chain efficiency evaluation, Annals of Operations
Research, Vol. 145, No. 1 (2006), 35-49.
|
|
55.
|
Cook, W.D., and Zhu, Joe, Preface for the
Special Issue on “Performance Evaluation and Beyond: Data Envelopment
Analysis Research Frontiers” in Honor of William W. Cooper, Annals of
Operations Research, Vol. 145, No. 1 (2006), 1-3.
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54.
|
Cook, W.D., and Zhu, Joe, Rank order data in
DEA: A general framework, European Journal of Operational Research,
Vol. 174, Issue 2 (2006), 1021-1038.
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53.
|
Cook, W.D., and Zhu, Joe, Incorporating
multiprocess performance standards into the DEA framework, Operations
Research, Vol. 54, No. 4 (2006), 656-665.
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52.
|
Cook, W.D. Green, R.H., and Zhu, Joe, Dual-role
factors in data envelopment analysis, IIE Transactions, Vol. 38,
Number 2 (2006), 105-115.
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51.
|
Chen, Y., Liang, L., Yang, F., and Zhu, Joe,
Evaluation of information technology investment: A data envelopment analysis
approach, Computers & Operations Research, Vol. 33, Issue 5
(2006), 1368-1379.
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50.
|
Chen, Y., Morita, H., and Zhu, Joe,
Context-dependent DEA with an application to Tokyo public libraries, International
Journal of Information Technology and Decision Making, Vol. 4, No. 3
(2005), 385-394.
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49.
|
Huang, Z.M., Li, S.X., and Zhu, Joe, A Special
Issue on "Data Envelopment Analysis: Theories and Applications" in honor of
William W. Cooper, International Journal of Information Technology and
Decision Making, Vol. 4, No. 3 (2005), 311-316.
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48.
|
Seiford, L.M., and Zhu, Joe, Notes on
sensitivity and stability of the classifications of returns to scale in data
envelopment analysis: A comment, Journal of Productivity Analysis,
Vol. 23, No. 3 (2005), 315-316.
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47.
|
Morita, H., Hirokawa, K., and Zhu, Joe, A
slack-based measure of efficiency in context-dependent data envelopment
analysis, OMEGA, Vol. 33, Issue 4 (2005), 357-362.
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46.
|
Cook, W.D., and Zhu, Joe, Allocation of shared
costs among decision making units: A DEA approach, Computers &
Operations Research, Vol 32, Issue 8 (2005), 2171-2178.
|
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45.
|
Cook, W.D., and Zhu, Joe, Building performance
standards into data envelopment analysis structures, IIE Transactions,
Vol 37, Issue 3 (2005), 267-275.
|
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44.
|
Gregoriou, G.N., Sedzro, K., and Zhu, Joe,
Hedge fund performance appraisal using data envelopment analysis, European
Journal of Operational Research, Vol. 164, Issue 2 (2005), 555-571.
|
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43.
|
Seiford, L.M., and Zhu, Joe, A response to
comments on modeling undesirable factors in efficiency evaluation, European
Journal of Operational Research, Vol. 161, Issue 2 (2005), 579-581.
|
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42.
|
Cook, W.D., Seiford, L.M., and Zhu, Joe,
Models for performance benchmarking: Measuring the effect of e-business
activities on banking performance, OMEGA, Vol. 32, Issue 4 (2004),
313-322.
|
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41.
|
Zhu, Joe, Imprecise DEA via standard linear
DEA models with a revisit to a Korean mobile telecommunication company, Operations
Research, Vol. 52, No. 2 (2004), 323-329.
|
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40.
|
Chen, Y., and Zhu, Joe, Measuring information
technology’s indirect impact on firm performance, Information Technology
& Management Journal, Vol. 5, Issue 1-2 (2004), 9-22.
|
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39.
|
Banker, R.D., Cooper, W.W., Seiford, L.M.,
Thrall, R.M., and Zhu, Joe, Returns to scale in different DEA models. European
Journal of Operational Research, Vol. 154, Issue 2 (2004), 345-362.
|
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38.
|
Zhu, Joe, A buyer-seller game model for
selection and negotiation of purchasing bids: extensions and new models, European
Journal of Operational Research, Vol. 154, Issue 1 (2004), 150-156.
|
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37.
|
Mistry, J.J., and Zhu, Joe, Strategic and
transactional use of information technology in banking. The Journal of
Cost Analysis & Management, Volume 5, Issue 2, (2003), 1-22.
|
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36.
|
Chen, Y., and Zhu, Joe, DEA Models for
Identifying critical performance measures, Annals of Operations Research,
Vol.124, No. 1-4 (2003), 225-244.
|
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35.
|
Morita, H., and Zhu, Joe, Models for
characterizing and measuring supply chain efficiency and achieving best
practice. System, Control and Information, Vol. 16, No. 8, (2003),
388-396.
(in Japanese 森田浩, J ZHU, サプライチエインの効率性の測定と最適化のためのモデル, システム制御情報学会論文誌.)
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34.
|
Chen, Y., Morita, H., and Zhu, Joe, Multiplier
bounds in DEA via strong complementary slackness condition solution, International
Journal of Production Economics, Vol. 86, No. 1, (2003), 11-19.
|
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33.
|
Seiford, L.M., and Zhu, Joe, Context-dependent
data envelopment analysis-- measuring attractiveness and progress. OMEGA,
Vol. 31, Issue 5, (2003), 397-480. [Note: Computational errors have been discovered in the paper. However, they do not affect the results. These errors are corrected in Cook and Zhu,
Designing and Modeling Performance Evaluation Issues, Springer Science, 2005.]
|
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32.
|
Cook, W.D., and Zhu, Joe, Output deterioration
with input reduction in data envelopment analysis, IIE Transactions,
Vol. 35, No. 3, (2003), 309-320.
|
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31.
|
Johnson, S.A., and Zhu, Joe, Identifying “best”
applicants in recruiting using data envelopment analysis, Socio-Economic
Planning Sciences, Vol. 37, Issue 2 (2003), 125-139.
|
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30.
|
Zhu, Joe, Efficiency evaluation with strong
ordinal input and output measures, European Journal of Operational
Research, Vol. 146, Issue 3 (2003), 477-485.
|
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29.
|
Zhu, Joe, Imprecise data envelopment analysis
(IDEA): A review and improvement with an application, European Journal of
Operational Research, Vol. 144, Issue 3 (2003), 513-529.
|
|
|
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28.
|
Seiford, L.M., and Zhu, Joe, Value judgment
versus allocative efficiency: a case of Tennessee county jails, Journal of
Management Sciences & Regional Development, Issue 4, July (2002),
89-98.
|
|
27.
|
Li, S.X., Huang, Z.M., Zhu, Joe, and Chau, P.Y.K.,
Cooperative advertising, game theory and manufacturer-retailer supply chains,
OMEGA, Vol.30, Issue 5 (2002), 347-357.
|
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26.
|
Seiford, L.M., and Zhu, Joe, Modeling
undesirable factors in efficiency evaluation, European Journal of
Operational Research, Vol. 142, Issue 1 (2002), 16-20.
|
|
|
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25.
|
Zhu, Joe, Multidimensional quality-of-life
measure with an application to Fortune’s best cities, Socio-Economic
Planning Sciences, Vol. 35, Issue 4 (2001), 263-284.
|
|
24.
|
Cooper, W.W., Seiford, L.M., and Zhu, Joe,
Slacks and congestion: response to a comment by R. Fare and S. Grosskopf, Socio-Economic
Planning Sciences, Vol. 35, Issue 3 (2001), 205-215.
|
|
23.
|
Wilkens, K., and Zhu, Joe, Portfolio
evaluation and benchmark selection: A mathematical programming approach, Journal
of Alternative Investments, Vol. 4, No. 1, Summer, (2001), 9-19.
|
|
22.
|
Cooper, W.W., Li, S., Seiford, L.M., Tone, K., Thrall,
R.M., and Zhu, Joe, Sensitivity and stability analysis in DEA: some recent
developments, Journal of Productivity Analysis, Vol. 15, No. 3 (2001),
217-246.
|
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21.
|
Zhu, Joe, Super-efficiency and DEA sensitivity
analysis. European Journal of Operational Research, Vol. 129, Issue 2
(2001), 443-455.[Erratum,
EJOR, Volume 179, Issue 1, (2007), Page277.]
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20.
|
Zhu, Joe, Further discussion on linear production
functions and DEA. European Journal of Operational Research, Vol. 127,
Issue 3 (2000), 611-618.
|
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19.
|
Zhu, Joe, Setting scale efficient targets in
DEA via returns to scale estimation method. Journal of the Operational
Research Society, Vol. 51, No. 3 (2000), 376-378.
|
|
18.
|
Zhu, Joe, Multi-factor performance measure
model with an application to Fortune 500 companies. European Journal of
Operational Research, Vol. 123, Issue 1, (2000), 105-124.
|
|
17.
|
Cooper, W.W., Seiford, L.M., and Zhu, Joe, A
unified additive model approach for evaluating inefficiency and congestion
with associated measures in DEA. Socio-Economic Planning Sciences,
Vol. 34, Issue 1 (2000), 1-25.
|
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16.
|
Seiford, L.M., and Zhu, Joe, Profitability and
marketability of the top 55 US commercial banks. Management Science,
Vol. 45, No. 9 (September 1999), 1270-1288.
|
|
15.
|
Seiford, L.M., and Zhu, Joe, Infeasibility of
super-efficiency data envelopment analysis models. INFOR, Vol. 37, No.
2, (May 1999), 174-187.
|
|
14.
|
Seiford, L.M., and Zhu, Joe, Sensitivity and
stability of the classification of returns to scale in data envelopment
analysis. Journal of Productivity Analysis, Vol. 12, No. 1, (1999),
55-75.
|
|
13.
|
Seiford, L.M., and Zhu, Joe, An investigation
of returns to scale in data envelopment analysis. OMEGA, Vol. 27, No.
1 (1999), 1-11.
|
|
|
|
12.
|
Seiford, L.M., and Zhu, Joe, Sensitivity
analysis of DEA models for simultaneous changes in all the data. Journal
of the Operational Research Society, Vol. 49, No. 10 (1998), 1060-1071.
|
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11.
|
Zhu, Joe, Data envelopment analysis vs.
principal component analysis: An illustrative study of economic performance
of Chinese cities. European Journal of Operational Research, Vol. 111,
Issue 1, (1998), 50-61.
|
|
10.
|
Seiford, L.M., and Zhu, Joe, On alternative
optimal solutions in the estimation of returns to scale in DEA. European
Journal of Operational Research, Vol. 108, No. 1, (1998) 149-152.
|
|
9.
|
Seiford, L.M., and Zhu, Joe, Stability regions
for maintaining efficiency in data envelopment analysis. European Journal
of Operational Research, Vol. 108, Issue. 1, (1998), 127-139.
|
|
8.
|
Seiford, L.M., and Zhu, Joe, Identifying
excesses and deficits in Chinese industrial productivity (1953-1990): A weighted
data envelopment analysis approach. OMEGA, Vol. 26, No. 2 (1998),
279-296.
|
|
7.
|
Ray, S.C., Seiford, L.M., and Zhu, Joe, Market
entity behavior of Chinese state-owned enterprises. OMEGA, Vol. 26,
No. 2 (1998), 263-278.
|
|
6.
|
Seiford, L.M., and Zhu, Joe, On piecewise
loglinear frontiers and log efficiency measures. Computers and Operations
Research, Vol. 25, No. 5, (1998), 389-395.
|
|
5.
|
Seiford, L.M., and Zhu, Joe, An acceptance
system decision rule with data envelopment analysis. Computers and
Operations Research, Vol. 25, No. 4, (1998), 329-332.
|
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4.
|
Zhu, Joe, DEA/AR analysis of the 1988-1989
performance of the Nanjing Textile Cooperation. Annals of Operations
Research, Vol. 66, (1996), 311-335.
|
|
3.
|
Zhu, Joe, Robustness of the efficient DMUs in
data envelopment analysis. European Journal of Operational Research,
Vol. 90, Issue 3 (1996), 451-460.
|
|
2.
|
Zhu, Joe, Data envelopment analysis with
preference structure. Journal of the Operational Research Society, Vol.
47, No.1 (1996), 136-150.
|
|
1.
|
Zhu, Joe, and Shen, Z.H., A discussion of
testing DMUs' returns to scale. European Journal of Operational Research,
Vol. 81, Issue 3 (1995), 590-596.
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