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Nash bargaining game enhanced global Malmquist productivity index for cross-productivity index. (English) Zbl 07865482

MSC:

91A12 Cooperative games
91B06 Decision theory
91B26 Auctions, bargaining, bidding and selling, and other market models
Full Text: DOI

References:

[1] Walheer, B.; Malmquist Productivity Index for Multi-Output Producers: An Application to Electricity Generation Plants; Socioecon. Plann Sci.: 2019; Volume 65 ,76-88.
[2] Caves, D.W.; Christensen, L.R.; Diewert, W.E.; The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity; Econometrica: 1982; Volume 50 ,1393. · Zbl 0524.90028
[3] Fare, R.; Grosskopf, S.; Norris, M.; Zhang, Z.; Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries; Am. Econ. Rev.: 1994; Volume 84 ,66-83.
[4] Pastor, J.T.; Lovell, C.A.K.; A Global Malmquist Productivity Index; Econ. Lett.: 2005; Volume 88 ,266-271. · Zbl 1254.91615
[5] Kao, C.; Malmquist Productivity Index Based on Common-Weights DEA: The Case of Taiwan Forests after Reorganization; Omega: 2010; Volume 38 ,484-491.
[6] Ding, L.; Yang, Y.; Wang, W.; Calin, A.C.; Regional Carbon Emission Efficiency and Its Dynamic Evolution in China: A Novel Cross Efficiency-Malmquist Productivity Index; J. Clean. Prod.: 2019; Volume 241 ,118260.
[7] Homayoni, A.; Fallahnejad, R.; Hosseinzadeh Lotfi, F.; Cross Malmquist Productivity Index in Data Envelopment Analysis; 4OR: 2021; Volume 20 ,567-602.
[8] Sexton, T.R.; Silkman, R.H.; Hogan, A.J.; Data Envelopment Analysis: Critique and Extensions; New Dir. Program Eval.: 1986; Volume 1986 ,73-105.
[9] Doyle, J.; Green, R.; Efficiency and Cross-Efficiency in DEA: Derivations, Meanings and Uses; J. Oper. Res. Soc.: 1994; Volume 45 ,567. · Zbl 0807.90016
[10] Abolghasem, S.; Toloo, M.; Amézquita, S.; Cross-Efficiency Evaluation in the Presence of Flexible Measures with an Application to Healthcare Systems; Health Care Manag. Sci.: 2019; Volume 22 ,512-533.
[11] Seyedalizadeh Ganji, S.R.; Rassafi, A.A.; Xu, D.L.; A Double Frontier DEA Cross Efficiency Method Aggregated by Evidential Reasoning Approach for Measuring Road Safety Performance; Measurement: 2019; Volume 136 ,668-688.
[12] Deng, X.; Fang, W.; A Novel Mean-Variance-Maverick DEA Prospect Cross-Efficiency Approach for Fuzzy Portfolio Selection; J. Intell. Fuzzy Syst.: 2019; Volume 37 ,8113-8130.
[13] Chen, L.; Wang, Y.M.; Huang, Y.; Cross-Efficiency Aggregation Method Based on Prospect Consensus Process; Ann. Oper. Res.: 2020; Volume 288 ,115-135. · Zbl 1437.90085
[14] Fang, L.; Yang, J.; An Integrated Ranking Approach Using Cross-Efficiency Intervals and the Cumulative Prospect Theory; Comput. Ind. Eng.: 2019; Volume 136 ,556-574.
[15] Kao, C.; Liu, S.T.; Cross Efficiency Measurement and Decomposition in Two Basic Network Systems; Omega: 2019; Volume 83 ,70-79.
[16] Chen, L.; Wang, Y.M.; DEA Target Setting Approach within the Cross Efficiency Framework; Omega: 2020; Volume 96 ,102072.
[17] Chen, L.; Huang, Y.; Li, M.J.; Wang, Y.M.; Meta-Frontier Analysis Using Cross-Efficiency Method for Performance Evaluation; Eur. J. Oper. Res.: 2020; Volume 280 ,219-229. · Zbl 1430.90318
[18] Charnes, A.; Cooper, W.W.; Rhodes, E.; Measuring the Efficiency of Decision Making Units; Eur. J. Oper. Res.: 1978; Volume 2 ,429-444. · Zbl 0416.90080
[19] Maniadakis, N.; Thanassoulis, E.; A Cost Malmquist Productivity Index; Eur. J. Oper. Res.: 2004; Volume 154 ,396-409. · Zbl 1146.90450
[20] Tohidi, G.; Razavyan, S.; Tohidnia, S.; A Global Cost Malmquist Productivity Index Using Data Envelopment Analysis; J. Oper. Res. Soc.: 2012; Volume 63 ,72-78.
[21] Thanassoulis, E.; Shiraz, R.K.; Maniadakis, N.; A Cost Malmquist Productivity Index Capturing Group Performance; Eur. J. Oper. Res.: 2015; Volume 241 ,796-805. · Zbl 1339.91093
[22] Huang, M.Y.; Juo, J.C.; Fu, T.; tan Metafrontier Cost Malmquist Productivity Index: An Application to Taiwanese and Chinese Commercial Banks; J. Product. Anal.: 2015; Volume 44 ,321-335.
[23] Walheer, B.; Cost Malmquist Productivity Index: An Output-Specific Approach for Group Comparison; J. Product. Anal.: 2018; Volume 49 ,79-94.
[24] Mirzaeian, F.; Fallahnejad, R.; Cost Malmquist Productivity Index Based on Piecewise Linear Cost Function in Data Envelopment Analysis; Ind. Manag. J.: 2015; Volume 13 ,300-328.
[25] Asmild, M.; Tam, F.; Estimating Global Frontier Shifts and Global Malmquist Indices; J. Product. Anal.: 2007; Volume 27 ,137-148.
[26] Pastor, J.T.; Asmild, M.; Lovell, C.A.K.; The Biennial Malmquist Productivity Change Index; Socio-Econ. Plan. Sci.: 2011; Volume 45 ,10-15.
[27] Afsharian, M.; Ahn, H.; The Overall Malmquist Index: A New Approach for Measuring Productivity Changes over Time; Ann. Oper. Res.: 2014; Volume 226 ,1-27. · Zbl 1311.91159
[28] O’Donnell, C.J.; Fallah-Fini, S.; Triantis, K.; Measuring and Analysing Productivity Change in a Metafrontier Framework; J. Product. Anal.: 2017; Volume 47 ,117-128.
[29] Kao, C.; Hwang, S.N.; Multi-Period Efficiency and Malmquist Productivity Index in Two-Stage Production Systems; Eur. J. Oper. Res.: 2014; Volume 232 ,512-521. · Zbl 1305.90295
[30] Kao, C.; Measurement and Decomposition of the Malmquist Productivity Index for Parallel Production Systems; Omega: 2017; Volume 67 ,54-59.
[31] Yu, M.-M.; Chen, L.-H.; A Meta-Frontier Network Data Envelopment Analysis Approach for the Measurement of Technological Bias with Network Production Structure; Ann. Oper. Res.: 2019; Volume 287 ,495-514. · Zbl 1444.90069
[32] Tavana, M.; Khalili-Damghani, K.; Santos Arteaga, F.J.; Hashemi, A.; A Malmquist Productivity Index for Network Production Systems in the Energy Sector; Ann. Oper. Res.: 2019; Volume 284 ,415-445.
[33] Oh, D.; hyun A Global Malmquist-Luenberger Productivity Index; J. Product. Anal.: 2010; Volume 34 ,183-197.
[34] Aparicio, J.; Pastor, J.T.; Zofio, J.L.; On the Inconsistency of the Malmquist-Luenberger Index; Eur. J. Oper. Res.: 2013; Volume 229 ,738-742. · Zbl 1317.90186
[35] Kerstens, K.; Van De Woestyne, I.; Comparing Malmquist and Hicks-Moorsteen Productivity Indices: Exploring the Impact of Unbalanced vs. Balanced Panel Data; Eur. J. Oper. Res.: 2014; Volume 233 ,749-758. · Zbl 1339.91091
[36] Arabi, B.; Munisamy, S.; Emrouznejad, A.; A New Slacks-Based Measure of Malmquist-Luenberger Index in the Presence of Undesirable Outputs; Omega: 2015; Volume 51 ,29-37.
[37] Du, J.; Duan, Y.; Xu, J.; The Infeasible Problem of Malmquist-Luenberger Index and Its Application on China’s Environmental Total Factor Productivity; Ann. Oper. Res.: 2017; Volume 278 ,235-253. · Zbl 1430.91060
[38] Du, J.; Chen, Y.; Huang, Y.; A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China; Eur. J. Oper. Res.: 2018; Volume 269 ,171-187. · Zbl 1431.91276
[39] Lambert, D.K.; Productivity Measurement from a Reference Technology: A Distance Function Approach; J. Product. Anal.: 1998; Volume 10 ,289-304.
[40] Fuentes, H.J.; Grifell-Tatjé, E.; Perelman, S.; A Parametric Distance Function Approach for Malmquist Productivity Index Estimation; J. Product. Anal.: 2001; Volume 15 ,79-94.
[41] Pastor, J.T.; Lovell, C.A.K.; Aparicio, J.; Defining a New Graph Inefficiency Measure for the Proportional Directional Distance Function and Introducing a New Malmquist Productivity Index; Eur. J. Oper. Res.: 2019; Volume 281 ,222-230. · Zbl 1431.91295
[42] Asmild, M.; Baležentis, T.; Hougaard, J.L.; Multi-Directional Productivity Change: MEA-Malmquist; J. Product. Anal.: 2016; Volume 46 ,109-119.
[43] Kevork, I.S.; Pange, J.; Tzeremes, P.; Tzeremes, N.G.; Estimating Malmquist Productivity Indexes Using Probabilistic Directional Distances: An Application to the European Banking Sector; Eur. J. Oper. Res.: 2017; Volume 261 ,1125-1140. · Zbl 1403.91380
[44] Grifell-Tatjé, E.; Lovell, C.A.K.; A Generalized Malmquist Productivity Index; TOP: 1999; Volume 7 ,81-101. · Zbl 1115.91358
[45] Orea, L.; Parametric Decomposition of a Generalized Malmquist Productivity Index; J. Product. Anal.: 2002; Volume 18 ,5-22.
[46] Lovell, C.A.K.; The Decomposition of Malmquist Productivity Indexes; J. Product. Anal.: 2003; Volume 20 ,437-458.
[47] Zelenyuk, V.; Aggregation of Malmquist Productivity Indexes; Eur. J. Oper. Res.: 2006; Volume 174 ,1076-1086. · Zbl 1103.90366
[48] Camanho, A.S.; Dyson, R.G.; Data Envelopment Analysis and Malmquist Indices for Measuring Group Performance; J. Product. Anal.: 2006; Volume 26 ,35-49.
[49] Yu, M.M.; The Capacity Productivity Change and the Variable Input Productivity Change: A New Decomposition of the Malmquist Productivity Index; Appl. Math. Comput.: 2007; Volume 185 ,375-381. · Zbl 1120.90322
[50] Wang, Y.M.; Lan, Y.X.; Measuring Malmquist Productivity Index: A New Approach Based on Double Frontiers Data Envelopment Analysis; Math. Comput. Model.: 2011; Volume 54 ,2760-2771. · Zbl 1235.91184
[51] Chen, K.H.; Yang, H.Y.; A Cross-Country Comparison of Productivity Growth Using the Generalised Metafrontier Malmquist Productivity Index: With Application to Banking Industries in Taiwan and China; J. Product. Anal.: 2011; Volume 35 ,197-212.
[52] Pantzios, C.J.; Karagiannis, G.; Tzouvelekas, V.; Parametric Decomposition of the Input-Oriented Malmquist Productivity Index: With an Application to Greek Aquaculture; J. Product. Anal.: 2011; Volume 36 ,21-31.
[53] Mayer, A.; Zelenyuk, V.; Aggregation of Malmquist Productivity Indexes Allowing for Reallocation of Resources; Eur. J. Oper. Res.: 2014; Volume 238 ,774-785. · Zbl 1338.91085
[54] Afsharian, M.; Ahn, H.; Multi-Period Productivity Measurement under Centralized Management with an Empirical Illustration to German Saving Banks; OR Spectr.: 2017; Volume 39 ,881-911. · Zbl 1375.90105
[55] Diewert, W.E.; Fox, K.J.; Decomposing Productivity Indexes into Explanatory Factors; Eur. J. Oper. Res.: 2017; Volume 256 ,275-291. · Zbl 1394.90337
[56] Walheer, B.; Disaggregation of the Cost Malmquist Productivity Index with Joint and Output-Specific Inputs; Omega: 2018; Volume 75 ,1339-1351.
[57] Arocena, P.; Saal, D.S.; Urakami, T.; Zschille, M.; Measuring and Decomposing Productivity Change in the Presence of Mergers; Eur. J. Oper. Res.: 2019; Volume 282 ,319-333. · Zbl 1431.91191
[58] Afsharian, M.; Ahn, H.; Harms, S.G.; Performance Comparison of Management Groups under Centralised Management; Eur. J. Oper. Res.: 2019; Volume 278 ,845-854. · Zbl 1430.90570
[59] Balk, B.M.; Althin, R.; A New, Transitive Productivity Index; J. Product. Anal.: 1996; Volume 7 ,19-27.
[60] Grifell-Tatjé, E.; Lovell, C.A.K.; Pastor, J.T.; A Quasi-Malmquist Productivity Index; J. Product. Anal.: 1998; Volume 10 ,7-20.
[61] Førsund, F.R.; The Rise and Fall of Slacks: Comments on Quasi-Malmquist Productivity Indices; J. Product. Anal.: 1998; Volume 10 ,21-34.
[62] Simar, L.; Wilson, P.W.; Estimating and Bootstrapping Malmquist Indices; Eur. J. Oper. Res.: 1999; Volume 115 ,459-471. · Zbl 0959.91053
[63] Althin, R.; Measurement of Productivity Changes: Two Malmquist Index Approaches; J. Product. Anal.: 2001; Volume 16 ,107-128.
[64] Chen, Y.; A Non-Radial Malmquist Productivity Index with an Illustrative Application to Chinese Major Industries; Int. J. Prod. Econ.: 2003; Volume 83 ,27-35.
[65] Shestalova, V.; Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities; J. Product. Anal.: 2003; Volume 19 ,211-226.
[66] Asmild, M.; Paradi, J.C.; Aggarwall, V.; Schaffnit, C.; Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry; J. Product. Anal.: 2004; Volume 21 ,67-89.
[67] Daskovska, A.; Simar, L.; van Bellegem, S.; Forecasting the Malmquist Productivity Index; J. Product. Anal.: 2010; Volume 33 ,97-107.
[68] Fuentes, R.; Lillo-Bañuls, A.; Smoothed Bootstrap Malmquist Index Based on DEA Model to Compute Productivity of Tax Offices; Expert Syst. Appl.: 2015; Volume 42 ,2442-2450.
[69] Yang, B.; Zhang, Y.; Zhang, H.; Zhang, R.; Xu, B.; Factor-Specific Malmquist Productivity Index Based on Common Weights DEA; Oper. Res.: 2016; Volume 16 ,51-70.
[70] Karagiannis, G.; Knox Lovell, C.A.; Productivity Measurement in Radial DEA Models with a Single Constant Input; Eur. J. Oper. Res.: 2016; Volume 251 ,323-328. · Zbl 1346.90591
[71] Li, Z.; Crook, J.; Andreeva, G.; Dynamic Prediction of Financial Distress Using Malmquist DEA; Expert Syst. Appl.: 2017; Volume 80 ,94-106.
[72] Zhu, N.; Liu, Y.; Emrouznejad, A.; Huang, Q.; An Allocation Malmquist Index with an Application in the China Securities Industry; Oper. Res.: 2017; Volume 17 ,669-691.
[73] Nash, J.F.; Nash, J.; The Bargaining Problem; Econometrica: 1950; Volume 18 ,155-162. · Zbl 1202.91122
[74] Banker, R.D.; A Game Theoretic Approach to Measuring Efficiency; Eur. J. Oper. Res.: 1980; Volume 5 ,262-266. · Zbl 0444.90058
[75] Banker, R.D.; Charnes, A.; Cooper, W.W.; Clarke, R.; Constrained Game Formulations and Interpretations for Data Envelopment Analysis; Eur. J. Oper. Res.: 1989; Volume 40 ,299-308. · Zbl 0669.90061
[76] Rousseau, J.J.; Semple, J.H.; Two-Person Ratio Efficiency Games; Manag. Sci.: 1995; Volume 41 ,435-441. · Zbl 0832.90125
[77] Hao, G.; Wei, Q.; Yan, H.; Generalized DEA Model and the Convex Cone Constrained Game; Eur. J. Oper. Res.: 2000; Volume 126 ,515-525. · Zbl 1019.91003
[78] Zhou, Z.; Sun, L.; Yang, W.; Liu, W.; Ma, C.; A Bargaining Game Model for Efficiency Decomposition in the Centralized Model of Two-Stage Systems; Comput. Ind. Eng.: 2013; Volume 64 ,103-108.
[79] Du, J.; Liang, L.; Chen, Y.; Cook, W.D.; Zhu, J.; A Bargaining Game Model for Measuring Performance of Two-Stage Network Structures; Eur. J. Oper. Res.: 2011; Volume 210 ,390-397. · Zbl 1210.90037
[80] An, Q.; Chen, H.; Xiong, B.; Wu, J.; Liang, L.; Target Intermediate Products Setting in a Two-Stage System with Fairness Concern; Omega: 2017; Volume 73 ,49-59.
[81] Rezaee, M.J.; Izadbakhsh, H.; Yousefi, S.; An Improvement Approach Based on DEA-Game Theory for Comparison of Operational and Spatial Efficiencies in Urban Transportation Systems; KSCE J. Civ. Eng.: 2016; Volume 20 ,1526-1531.
[82] Jalali Naini, S.G.; Moini, A.; Jahangoshai Rezaee, M.; Nash Bargaining Game Model for Two Parallel Stages Process Evaluation with Shared Inputs; Int. J. Adv. Manuf. Technol.: 2013; Volume 67 ,475-484.
[83] Borrero, D.V.; Hinojosa, M.A.; Mármol, A.M.; DEA Production Games and Owen Allocations; Eur. J. Oper. Res.: 2016; Volume 252 ,921-930. · Zbl 1347.91022
[84] Wu, H.; Lv, K.; Liang, L.; Hu, H.; Measuring Performance of Sustainable Manufacturing with Recyclable Wastes: A Case from China’s Iron and Steel Industry; Omega: 2017; Volume 66 ,38-47.
[85] Du, J.; Chen, Y.; Cook, W.D.; Liang, L.; Zhu, J.; Evaluating Two-Stage Network Structures: Bargaining Game Approach; International Series in Operations Research and Management Science: New York, NY, USA 2014; Volume Volume 208 ,165-187.
[86] Jahangoshai Rezaee, M.; Moini, A.; Haji-Ali Asgari, F.; Unified Performance Evaluation of Health Centers with Integrated Model of Data Envelopment Analysis and Bargaining Game; J. Med. Syst.: 2012; Volume 36 ,3805-3815.
[87] Jahangoshai Rezaee, M.; Moini, A.; Makui, A.; Operational and Non-Operational Performance Evaluation of Thermal Power Plants in Iran: A Game Theory Approach; Energy: 2012; Volume 38 ,96-103.
[88] Yang, X.; Morita, H.; Efficiency Improvement from Multiple Perspectives: An Application to Japanese Banking Industry; Omega: 2013; Volume 41 ,501-509.
[89] Nakabayashi, K.; Tone, K.; Egoist’s Dilemma: A DEA Game; Omega: 2006; Volume 34 ,135-148.
[90] Nakabayashi, K.; Sahoo, B.K.; Tone, K.; Fair allocation based on two criteria: A dea game view of “add them up and divide by two”(<Special Issue>Operations Research for Performance Evaluation); J. Oper. Res. Soc. Jpn.: 2009; Volume 52 ,131-146. · Zbl 1176.91019
[91] Jahanshahloo, G.R.; Hosseinzadeh Lotfi, F.; Sohraiee, S.; Egoist’s Dilemma with Interval Data; Appl. Math. Comput.: 2006; Volume 183 ,94-105. · Zbl 1127.91307
[92] Sohraiee, S.; Evaluation of Egoist’s Dilemma with Fuzzy Data; Appl. Math. Sci.: 2009; Volume 3 ,1219-1233.
[93] Daneshvar, S.; Egoists Dilemma with Fuzzy Data; Afr. J. Math. Comput. Sci. Res.: 2012; Volume 5 ,9-16.
[94] Sekine, S.; Fu, J.; Muto, S.; Game Theoretic Approaches to Weight Assignments in Data Envelopment Analysis Problems; Math. Probl. Eng.: 2014; Volume 2014 ,434252. · Zbl 1409.90097
[95] Wu, J.; Liang, L.; Zha, Y.C.; Determination of the Weights of Ultimate Cross Efficiency Based on the Solution of Nucleolus; Xitong Gongcheng Lilun Yu Shijian/Syst. Eng. Theory Pract.: 2008; Volume 28 ,92-97.
[96] Wu, J.; Liang, L.; Yang, F.; Yan, H.; Bargaining Game Model in the Evaluation of Decision Making Units; Expert Syst. Appl.: 2009; Volume 36 ,4357-4362.
[97] Lozano, S.; Information Sharing in DEA: A Cooperative Game Theory Approach; Eur. J. Oper. Res.: 2012; Volume 222 ,558-565. · Zbl 1253.91020
[98] Lozano, S.; Using DEA to Find the Best Partner for a Horizontal Cooperation; Comput. Ind. Eng.: 2013; Volume 66 ,286-292.
[99] Lozano, S.; DEA Production Games; Eur. J. Oper. Res.: 2013; Volume 231 ,405-413. · Zbl 1317.90106
[100] Lozano, S.; Hinojosa, M.A.; Mármol, A.M.; Set-Valued DEA Production Games; Omega: 2015; Volume 52 ,92-100.
[101] Hinojosa, M.A.; Lozano, S.; Mármol, A.M.; DEA Production Games with Fuzzy Output Prices; Fuzzy Optim. Decis. Mak.: 2018; Volume 17 ,401-419. · Zbl 1457.91038
[102] Wu, H.; Du, S.; Liang, L.; Zhou, Y.; A DEA-Based Approach for Fair Reduction and Reallocation of Emission Permits; Math. Comput. Model.: 2013; Volume 58 ,1095-1101.
[103] Wang, M.; Li, Y.; Supplier Evaluation Based on Nash Bargaining Game Model; Expert Syst. Appl.: 2014; Volume 41 ,4181-4185.
[104] Omrani, H.; Gharizadeh Beiragh, R.; Shafiei Kaleibari, S.; Performance Assessment of Iranian Electricity Distribution Companies by an Integrated Cooperative Game Data Envelopment Analysis Principal Component Analysis Approach; Int. J. Electr. Power Energy Syst.: 2015; Volume 64 ,617-625.
[105] Sugiyama, M.; Sueyoshi, T.; Finding a Common Weight Vector of Data Envelopment Analysis Based upon Bargaining Game; Stud. Eng. Technol.: 2014; Volume 1 ,13-21.
[106] Zhu, J.; Robustness of the Efficient DMUs in Data Envelopment Analysis; Eur. J. Oper. Res.: 1996; Volume 90 ,451-460. · Zbl 0907.90007
[107] Seiford, L.M.; Zhu, J.; Infeasibility of Super-Efficiency Data Envelopment Analysis Models; INFOR J.: 1999; Volume 37 ,174-187. · Zbl 07677588
[108] Lundberg, S.; Pollak, R.A.; Separate Spheres Bargaining and the Marriage Market; J. Political Econ.: 1993; Volume 101 ,988-1010.
[109] Liang, L.; Cook, W.D.; Zhu, J.; DEA Models for Two-Stage Processes: Game Approach and Efficiency Decomposition; Nav. Res. Logist.: 2008; Volume 55 ,643-653. · Zbl 1160.90528
[110] Wu, J.; Liang, L.; Yang, F.; Determination of the Weights for the Ultimate Cross Efficiency Using Shapley Value in Cooperative Game; Expert. Syst. Appl.: 2009; Volume 36 ,872-876.
[111] Liu, J.S.; Lu, L.Y.Y.; Lu, W.M.; Research Fronts in Data Envelopment Analysis; Omega: 2016; Volume 58 ,33-45.
[112] Anderson, T.R.; Hollingsworth, K.; Inman, L.; The Fixed Weighting Nature of a Cross-Evaluation Model; J. Product. Anal.: 2002; Volume 17 ,249-255.
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