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Presenting a predictive benchmark model of after-sales service agencies for vehicles based on the data envelopment analysis approach
Kheyri, Sajjad; Lotfi, Farhad Hosseinzadeh; Najafi, … - In: International journal of services and operations … 46 (2023) 1, pp. 1-34
Persistent link: https://www.econbiz.de/10014364447
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Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling
Kwon, He-Boong - In: International journal of production economics 183 (2017), pp. 159-170
Persistent link: https://www.econbiz.de/10011641032
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Chinese companies distress prediction : an application of data envelopment analysis
Li, Zhiyong; Crook, Jonathan N.; Andreeva, Galina - In: Journal of the Operational Research Society : OR 65 (2014) 3, pp. 466-479
Persistent link: https://www.econbiz.de/10010251675
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A novel ranking procedure for forecasting approaches using Data Envelopment Analysis
Emrouznejad, Ali; Rostami-Tabar, Bahman; Petridis, … - In: Technological forecasting & social change : an … 111 (2016), pp. 235-243
Persistent link: https://www.econbiz.de/10011611267
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Forecasting MBT technologies using DEA and LR
Cho, Yonghee; Anderson, Timothy R. - In: Technology analysis & strategic management 29 (2017) 4, pp. 353-369
Persistent link: https://www.econbiz.de/10011710778
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Domain knowledge features versus LASSO features in predicting risk of corporate bankruptcy : DEA approach
Mokrišová, Martina; Horváthová, Jarmila - In: Risks : open access journal 11 (2023) 11, pp. 1-18
Predicting the risk of corporate bankruptcy is one of the most important challenges for researchers dealing with the issue of financial health evaluation. The risk of corporate bankruptcy is most often assessed with the use of early warning models. The results of these models are significantly...
Persistent link: https://www.econbiz.de/10014436563
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Prioritizing of volatility models : a computational analysis using data envelopment analysis
Petridis, Konstantinos; Petridis, Nikolaos E.; … - In: International transactions in operational research : a … 30 (2023) 5, pp. 2302-2334
Persistent link: https://www.econbiz.de/10014259155
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Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning : the LSB-MAFS method
Guillen, María D.; Aparicio, Juan; Zofío, José L.; … - In: Computers & operations research : an international journal 171 (2024), pp. 1-19
Persistent link: https://www.econbiz.de/10015066453
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Innovative application of contemporary management methods in a knowledge-based economy : interdisciplinarity in science
Ejdys, Joanna; Ustinovičius, Leonas; Stankevičienė, … - In: Journal of business economics and management 16 (2015) 1, pp. 261-274
Persistent link: https://www.econbiz.de/10011515865
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Strategic safety stocks in supply chains with evolving forecasts
Schoenmeyr, Tor; Graves, Stephen C. - In: Manufacturing & service operations management : M & SOM 11 (2009) 4, pp. 657-673
Persistent link: https://www.econbiz.de/10008666610