Panorama budynków kampusu Uniwersytetu Ekonomicznego we Wrocławiu

Dr hab. inż. Magdalena Kapelko, prof. UEW

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Uniwersytet Ekonomiczny we Wrocławiu
ul. Komandorska 118/120
53-345 Wrocław

Budynek i pokój

Z 621

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Komunikacja

język angielski

język polski

język hiszpański


Informacje

Konsultacje w semestrze zimowym 2026/2027 na platformie Teams: poniedziałki od 16:30.

Office hours for the winter semester 2026/2027 via Teams: Mondays from 16:30.

Biography:

Magdalena Kapelko is an Associate Professor in the Department of Logistics at Wroclaw University of Economics and Business in Poland. From 2012 till 2018, she was an Assistant Professor at the same institution. She held a Visiting Assistant Professor position at Universidad Carlos III de Madrid in Spain from 2009 to 2012.

She received her PhD (European Doctorate) in Economic Sciences (Management) from Universitat Autònoma de Barcelona in Spain in 2009. In 2018, she obtained her habilitation degree in Economic Sciences (Economics) from Wrocław University of Economics and Business. She also holds an M.Phil. from Universitat Autònoma de Barcelona in Spain (2006) and an MSc in Management and Marketing from Wroclaw University of Science and Technology in Poland (2003). 

She has been a Visiting Researcher at Wageningen University in the Netherlands, Universidad Miguel Hernández in Spain, the University of Florida in the USA, and Linnaeus University in Sweden.

Her main research interests focus on efficiency and productivity measurement of decision making units, the economics of agribusiness firms, machine learning, and corporate social responsibility. Most of her work has been published in leading journals in operations research and agriculture economics such as European Journal of Operational Research, OMEGA – The International Journal of Management Science, International Journal of Production Economics, Journal of Productivity Analysis, Journal of Optimization Theory and Applications, American Journal of Agricultural Economics and Journal of Agricultural Economics.  Additionally, she has been a principal investigator of three projects funded by the National Science Centre in Poland, a member of the management committee of a COST Action, and an investigator in several projects financed by Spanish grant-awarding institutions. She is also an Associate Editor of the Journal of Productivity Analysis.  

Recent publications:

Aparicio, J., Kapelko, M., Monge, J. F., & Zofío, J. L. (2026). Enhancing the Benefit of the Doubt model through ‘Ensemble-DEA’: achieving the Sustainable Development Goals. Expert Systems with Applications, 296, 129010.

Kapelko, M., Sotiros, D., & Tomczak, S. K. (2026). A Hybrid Cost Efficiency Model under Fixed and Non-Fixed Prices: A Case Study on the Polish Justice Courts. OMEGA – The International Journal of Management Science, 103635.

Grande-Herrera, C., Guillamon-Saorin, E., & Kapelko, M. (2026). Operational performance and disclosure tone. Research in International Business and Finance, 103304.

Kapelko, M. (2025). Evaluating input‐and output‐specific inefficiency in courts of justice. An empirical study of Polish district courts. International Transactions in Operational Research, 32(5), 2767-2797.

Guillen, M. D., Aparicio, J., Kapelko, M., & Esteve, M. (2025). Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology. European Journal of Operational Research, 321(2), 529-542.

Oude Lansink, A., & Kapelko, M. (2025). Do Sustainability‐Linked Bonds Pay Lower Interest Rates?. Corporate Social Responsibility and Environmental Management, 32(4), 5337-5347.

Kapelko, M., Ortiz, L., & Aparicio, J. (2025). Comparing groups of units through composite indicators in a non-convex approach: Corporate social responsibility for the food and beverage manufacturing industry. Annals of Operations Research, 351(2), 1427-1450.

Obszary specjalizacji i zainteresowań
efficiency productivity change data envelopment analysis agribusiness corporate social responsibility machine learning

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