 | Up a level |
Group by: Item Type | Date
Jump to: Article | Book Section
Number of items: 14.
Article
- Hansun, S., Charles, V. and Gherman, T. (2023) The Role of the Mass Vaccination Programme in Combating the COVID-19 Pandemic: An LSTM-based Analysis of COVID-19 Confirmed Cases. Heliyon. 9(3) 2405-8440.
- Charles, V., Emrouznejad, A. and Gherman, T. (2023) A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Annals of Operations Research. , pp. 1-41. 0254-5330.
- Charles, V., Emrouznejad, A., Gherman, T. and Cochran, J. (2022) Why data analytics is an art. Significance. 19(6), pp. 42-45. 1740-9705.
- Hansun, S., Charles, V., Gherman, T. and Varadarajan, V. (2022) Hull-WEMA: a novel zero-lag approach in the moving average family, with an application to COVID-19. International Journal of Management and Decision Making. 21(1), pp. 92-112. 1462-4621.
- Hansun, S., Charles, V., Gherman, T. and Varadarajan, V. (2022) Hull-WEMA: a novel zero-lag approach in the moving average family, with an application to COVID-19. International Journal of Management and Decision Making. 21(1), pp. 92-112. 1462-4621.
- Charles, V., Chión, S. and Gherman, T. (2021) Expert Decision-Making: A Markovian Approach to Studying the Agency Problem. Expert Systems with Applications. 184 0957-4174.
- Thaker, K., Charles, V., Pant, A. and Gherman, T. (2021) A DEA and Random Forest Regression Approach to Studying Bank Efficiency and Corporate Governance. Journal of the Operational Research Society. , pp. 1-28. 0160-5682.
- Hansun, S., Charles, V., Gherman, T., Subanar and Rini Indrati, C. (2020) A Tuned Holt-Winters White-Box Model for COVID-19 Prediction. International Journal of Management and Decision Making. 20(3), pp. 241-262. 1462-4621.
- Mousavi, S. M. H., Charles, V. and Gherman, T. (2020) An Evolutionary Pentagon Support Vector Finder Method. Expert Systems with Applications. 150, pp. 1-14. 0957-4174.
- Tsolas, I., Charles, V. and Gherman, T. (2020) Supporting Better Practice Benchmarking: A DEA-ANN Approach to Bank Branch Performance Assessment. Expert Systems with Applications. 160, pp. 1-12. 0957-4174.
Book Section
- Charles, V., Gherman, T. and Emrouznejad, A. (2022) Characteristics and Trends in Big Data for Service Operations Management Research: A Blend of Descriptive Statistics and Bibliometric Analysis. In: Emrouznejad, A. and Charles, V. (eds.) Big Data and Blockchain for Service Operations Management :. Springer. pp. 1-18.
- Charles, V., Emrouznejad, A. and Gherman, T. (2022) Strategy Formulation and Service Operations in the Big Data Age: The Essentialness of Technology, People, and Ethics. In: Emrouznejad, A. and Charles, V. (eds.) Big Data and Blockchain for Service Operations Management :. Cham: Springer. pp. 19-48.
- Charles, V., Gherman, T. and Emrouznejad, A. (2021) Characteristics and Trends in Big Data for Service Operations Management Research: A Blend of Descriptive and Bibliometric Analysis. In: Emrouznejad, A. and Charles, V. (eds.) Big Data and Blockchain for Service Operations Management :. Springer. (In Press)
- Charles, V., Gherman, T. and Tsolas, I. (2019) A Novel Two-Phase Approach to Computing a Regional Social Progress Index. In: Aparicio, J., Knox Lovell, C.A., Pastor, J. T. and Zhu, J. (eds.) Advances in Efficiency and Productivity II :. Springer. pp. 159-172.