Northampton Electronic Collection of Theses and Research

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Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019
Number of items: 20.

2024

  1. Zhao, X., Zhai, G., Charles, V., Gherman, T., Lee, H., Pan, T. and Shang, Y. (2024) Enhancing Enterprise Investment Efficiency through Artificial Intelligence: The Role of Accounting Information Transparency. Socio-Economic Planning Sciences. 96 0038-0121.
  2. Ali, I., Charles, V., Modibbo, U. M., Gherman, T. and Gupta, S. (2024) Navigating COVID-19: Unraveling Supply Chain Disruptions through Best-Worst Method and Fuzzy TOPSIS. Benchmarking. 31(5), pp. 1548-1589. 1463-5771.

2023

  1. Singh Yadav, A., Charles, V., Kumar Pandey, D., Gupta, S., Gherman, T. and Singh Kushwaha, D. (2023) Blockchain-based Secure Privacy-Preserving Vehicle Accident and Insurance Registration. Expert Systems with Applications. 230 0957-4174.
  2. Charles, V., Mousavi, S. M. H., Gherman, T. and Mosavi, S. M. H. (2023) From Data to Action : Empowering COVID-19 Monitoring and Forecasting with Intelligent Algorithms. Journal of the Operational Research Society. 75(7), pp. 1261-1278. 0160-5682.
  3. 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.
  4. 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.

2022

  1. Charles, V., Emrouznejad, A., Gherman, T. and Cochran, J. (2022) Why data analytics is an art. Significance. 19(6), pp. 42-45. 1740-9705.
  2. Charles, V., Gherman, T. and Paliza, J. C. (2022) The Gini Index : A Modern Measure of Inequality. In: Charles, V. and Emrouznejad, A. (eds.) Modern Indices for International Economic Diplomacy :. Cham: Palgrave Macmilan. pp. 55-84.
  3. Charles, V., Gherman, T. and Emrouznejad, A. (2022) The role of composite indices in international economic diplomacy. In: Charles, V. and Emrouznejad, A. (eds.) Modern Indices for International Economic Diplomacy :. Cham: Palgrave Macmilan. pp. 1-17.
  4. 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.
  5. 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.
  6. 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.
  7. 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.

2021

  1. 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.
  2. 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)
  3. 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.

2020

  1. 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.
  2. 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.
  3. 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.

2019

  1. 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.
This list was generated from NECTAR on Wed Mar 4 10:36:45 2026 GMT.