Projects funded by the NCN
Investigations into efficiency and productivity change of decision making units: New methods based on machine learning techniques and empirical applications
2023/49/B/HS4/02991
Keywords:
performance measurement of decision making units efficiency productivity change Data Envelopment Analysis Free Disposal Hull machine learning techniques
Descriptors:
- HS4_03:
- HS4_09:
Panel:
HS4 - Individuals, institutions, markets: economics, finance, management, demography, social and economic geography, urban studies
Host institution :
Uniwersytet Ekonomiczny we Wrocławiu, Wydział Zarządzania
woj. dolnośląskie
Principal investigator (from the host institution):
dr hab. Magdalena Maria Kapelko
Number of co-investigators in the project: 3
Call: OPUS 25 - announced on 2023-03-16
Amount awarded: 437 181 PLN
Project start date (Y-m-d): 2024-01-12
Project end date (Y-m-d): 2028-01-11
Project duration:: 48 months (the same as in the proposal)
Project status: Pending project
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (2)
- Evaluating input- and output-specific inefficiency in courts of justice. An empirical study of Polish district courtsAuthors:Magdalena KapelkoAcademic press:International Transactions in Operational Research (rok: 2024, tom: w trakcie nadania, strony: w trakcie nadania), Wydawca: WileyStatus:PublishedDOI:10.1111/itor.13503 - link to the publication
- Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technologyAuthors:Maria D. Guillen, Juan Aparicio, Magdalena Kapelko, Miriam EsteveAcademic press:European Journal of Operational Research (rok: 2025, tom: 321, strony: 529-542), Wydawca: ElsevierStatus:PublishedDOI:10.003 - link to the publication