Biography

Prof. Jamal Ouenniche

Management Science

University of Edinburgh, UK


Email: [email protected]


Qualifications

Ph.D., Operations Management and Decision Support Systems, Laval University, Canada

M.S., Operations Research, University of Montreal, Canada

B.S., Mathematics, University of Montreal, Canada


Publications (Selected)


  1. El Kassimi, M., El Badraoui, K., & Ouenniche, J. (2024). On the efficiency of US community banks around the COVID-19 outbreak. Applied Economics. Advance online publication. https://doi.org/10.1080/00036846.2024.2413421
  2. Zhao, J., Ouenniche, J., & De Smedt, J. (2024). A complex network analysis approach to bankruptcy prediction using company relational information-based drivers. Knowledge-Based Systems, 300, 1-24. Article 112234. https://doi.org/10.1016/j.knosys.2024.112234
  3. Iddouch, K., El Badraoui, K., & Ouenniche, J. (2024). Productivity profiles of Islamic banks using data envelopment analysis-based Malmquist Productivity Indices (MPIs): Survey, classification, and critical analysis. In A. A. Ajibesin, & N. R. Vajjhala (Eds.), Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency (pp. 40-81). IGI Global. https://doi.org/10.4018/979-8-3693-0255-2.ch003
  4. Zhao, J., Ouenniche, J., & De Smedt, J. (2024). Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction. Machine Learning with Applications, 1-31. Article 100527. Advance online publication. https://doi.org/10.1016/j.mlwa.2024.100527
  5. Chang, T. S., Lin, J. G., & Ouenniche, J. (2023). DEA-based Nash bargaining approach to merger target selection. European Journal of Operational Research, 305(2), 930-945. https://doi.org/10.1016/j.ejor.2022.06.017
  6. Iddouch, K., El Badraoui, K., & Ouenniche, J. (2023). Landscape of research on the efficiency profiles of Islamic banks using DEA: Survey, classification and critical analysis of the literature. International Journal of Business, 28(3), 1-46. https://doi.org/10.55802/IJB.028(3).004
  7. Mousavi, M. M., Ouenniche, J., & Tone, K. (2022). A dynamic performance evaluation of distress prediction models. Journal of Forecasting. Advance online publication. https://doi.org/10.1002/for.2915
  8. Bouslah, K., Liern, V., Ouenniche, J., & Pérez-Gladish, B. (2022). Ranking firms based on their financial and diversity performance using multiple-stage unweighted TOPSIS. International Transactions in Operational Research. Advance online publication. https://doi.org/10.1111/itor.13143
  9. Fatouh, M., Bock, R., & Ouenniche, J. (2022). Impact of IFRS 9 on the cost of funding of banks in Europe. Journal of Banking Regulation. Advance online publication. https://doi.org/10.1057/s41261-021-00177-x
  10. Ahmad, S., Ouenniche, J., Kolosz, B. W., Greening, P., Andresen, J. M., Maroto-Valer, M. M., & Xu, B. (2021). A stakeholders’ participatory approach to multi-criteria assessment of sustainable aviation fuels production pathways. International Journal of Production Economics, 238, Article 108156. https://doi.org/10.1016/j.ijpe.2021.108156
  11. Aslam, F., Muhammad, Y. T., Aziz, S., & Ouenniche, J. (2020). A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market. Journal of Behavioral and Experimental Finance, 28, 1-11. Article 100418. https://doi.org/10.1016/j.jbef.2020.100418
  12. Loynes, C., Ouenniche, J., & De Smedt, J. (2020). The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing. Annals of Operations Research, N/A, 1-33. Advance online publication. https://doi.org/10.1007/s10479-020-03684-8
  13. Ouenniche, J., Uvalle Perez, O. J., & Ettouhami, A. (2018). A new EDAS-based in-sample-out-of-sample classifier for risk-class prediction. Management Decision. Advance online publication. https://doi.org/10.1108/MD-04-2018-0397
  14. Ouenniche, J., & Carrales Escobedo, S. (2018). Assessing efficiency profiles of UK commercial banks: A DEA analysis with regression-based feedback. Annals of Operations Research, 266, 551–587. https://doi.org/10.1007/s10479-018-2797-z
  15. Ouenniche, J., Pérez-Gladish, B., & Bouslah, K. (2018). An out-of-sample framework for TOPSIS-based classifiers with application in bankruptcy prediction. Technological Forecasting and Social Change, 131, 111-116. https://doi.org/10.1016/j.techfore.2017.05.034
  16. Mousavi, M. M., & Ouenniche, J. (2018). Multi-criteria ranking of corporate distress prediction models: Empirical evaluation and methodological contributions. Annals of Operations Research, 1-34. https://doi.org/10.1007/s10479-018-2814-2
  17. Ouenniche, J., Bouslah, K., Cabello, J. M., & Ruiz, F. (2018). A new classifier based on the reference point method with application in bankruptcy prediction. Journal of the Operational Research Society, 69(10), 1653-1660. https://doi.org/10.1057/s41274-017-0254-z
  18. Ouenniche, J., Ramaswamy, P. K., & Gendreau, M. (2017). A dual local search framework for combinatorial optimization problems with TSP application. Journal of the Operational Research Society, 68(11), 1377-1398. https://doi.org/10.1057/s41274-016-0173-4
  19. Ouenniche, J., & Tone, K. (2017). An out-of-sample evaluation framework for DEA with application in bankruptcy prediction. Annals of Operations Research, 254(1-2), 235–250. https://doi.org/10.1007/s10479-017-2431-5
  20. Ouenniche, J., Carrales Escobedo, S., Tone, K., & Fukuyama, H. (2017). An account of DEA-based contributions in the banking sector. In K. Tone (Ed.), Advances in DEA Theory and Applications: With Extensions to Forecasting Models (pp. 141-171). Wiley. https://onlinelibrary.wiley.com/doi/10.1002/9781118946688.ch14


Profile Details
https://www.research.ed.ac.uk/en/persons/jamal-ouenniche

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