Examining operational efficiency with prudent risks of Covid-19: a contextual DEA analysis with an undesirable intermediate measure

Tras las pérdidas de vidas humanas y la perturbación de la economía mundial causadas por la propagación de la pandemia de COVID-19, se ha hecho imperativo evaluar la eficacia de las estrategias de contención adoptadas por los países. El éxito de cualquier estrategia de contención para lograr una baja mortalidad y una alta tasa de recuperación depende de la utilización eficiente de los recursos disponibles pero limitados, como el número de camas de hospital y de trabajadores sanitarios. Aunque el patrón de propagación de la pandemia se ha investigado mucho, hay pocos estudios que se centren de forma exhaustiva en la utilización eficiente de los recursos disponibles para lograr los objetivos deseados de baja mortalidad y alta recuperación. Para colmar esta laguna en la investigación, empleamos un análisis envolvente de datos (DEA) en red de dos etapas para identificar la ineficiencia en el proceso y resolver las limitaciones de recursos considerando las intervenciones médicas y no médicas (administrativas) como dos etapas en serie. El número de personas infectadas se trata como el producto intermedio, que es una salida indeseable de la primera etapa y posteriormente entra en la segunda etapa como entrada. Este modelo DEA en red aborda con éxito el conflicto entre las dos etapas sobre el manejo de las personas infectadas y evalúa las vulnerabilidades de los países frente a las tasas de transmisión de la enfermedad en los respectivos países. Así pues, el objetivo de este estudio es elaborar un plan bien coordinado para que los distintos organismos gubernamentales mitiguen conjuntamente el riesgo con recursos limitados. Los resultados revelan que casi el 60% de los países de la Organización de Cooperación y Desarrollo Económicos (OCDE) han utilizado sus recursos de forma subóptima y están produciendo, por término medio, casi la mitad de la cantidad de productos máximos posibles. Dado que una parte considerable de la ineficiencia puede explicarse por diversos factores económicos y demográficos, como el gasto sanitario y la proporción de población de edad avanzada, se ha revisado la evaluación de la eficiencia con ajustes para tener en cuenta las externalidades desfavorables. El análisis y sus implicaciones pueden ayudar a los responsables políticos a formular planes de recursos óptimos y a identificar posibles áreas de mejora.

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A critical analysis of the integration of blockchain and artificial intelligence for supply chain

La integración entre la cadena de bloques y la inteligencia artificial (IA) ha sido objeto de gran atención en los últimos años, especialmente porque dicha integración puede mejorar la seguridad, la eficiencia y la productividad de las aplicaciones en entornos empresariales caracterizados por la volatilidad, la incertidumbre, la complejidad y la ambigüedad. En particular, la cadena de suministro es una de las áreas que han demostrado beneficiarse enormemente de blockchain y la IA, mejorando la resiliencia de la información y los procesos, permitiendo una entrega de productos más rápida y rentable, y aumentando la trazabilidad de los productos, entre otros. Este documento realiza una revisión del estado del arte de blockchain y la IA en el ámbito de las cadenas de suministro. Más concretamente, tratamos de responder a las tres preguntas principales siguientes: Q1-¿Cuáles son los estudios actuales sobre la integración de blockchain e IA en la cadena de suministro?, Q2-¿Cuáles son los casos de uso actuales de blockchain e IA en la cadena de suministro?, y Q3-¿Cuáles son las posibles direcciones de investigación para futuros estudios que impliquen la integración de blockchain e IA? El análisis realizado en este documento ha identificado estudios de investigación relevantes que han contribuido tanto conceptual como empíricamente a la expansión y acumulación de riqueza intelectual en la disciplina de la cadena de suministro mediante la integración de blockchain e IA.

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Artículos en revistas arbitradas

• Avolio, B. E., Vincent, C., & Lee, L. (2024). Rising Strong: Peruvian Women Entrepreneurs’ Journey through the COVID-19 Pandemic. To appear in IEEE Engineering Management Review.
• Gulati, R., Vincent, C., & Kumar, S. (2024). School education development index: A meta-frontier range directional measure benefit-of-the-doubt model. Socio-Economic Planning Sciences, 92, 101823. https://doi.org/10.1016/j.seps.2024.101823
• Zhou, X., Dai, M., Ma, X., Vincent, C., Shahzad, U., & Zhao, X. (2024). Economic policy uncertainty and the inhibitory effect of firms’ green technology innovation. Global Finance Journal, 60, 100960. https://doi.org/10.1016/j.gfj.2024.100960
• Avolio, B. E., Vincent, C., & Alban, M. (2023). Inter-domain role transitions and work-family life balance: The mediating effect of Integration and segmentation preferences. Global Business and Organizational Excellence, 42(6), 19-33. https://doi.org/10.1002/joe.22199
• Vincent, C., Emrouznejad, A., & Gherman, T. (2023). A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Annals of Operations Research, 327, 7-47. https://doi.org/10.1007/s10479-023-05169-w
• Chión Chacón, S., Vincent, C., & Vásquez, L. (2023). Knowledge transfer and entrepreneurial orientation: the mediating effect of the transactive memory system. Total Quality Management & Business Excellence, 34(13-14), 1797-1829. https://doi.org/10.1080/14783363.2023.2205016
• Hansun, S., Vincent, C., & 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. https://doi.org/10.1016/j.heliyon.2023.e14397
• Amirteimoori, A., Vincent, C., & Mehdizadeh, S. (2023). Stochastic data envelopment analysis in the presence of undesirable outputs. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2023.2172366
• Singh, S., Vincent, C., & Pandey, U. (2023). Examining operational efficiency with prudent risks of Covid-19: a contextual DEA analysis with an undesirable intermediate measure. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05207-7
• Xu, B., Ahmad, S., Vincent, C., & Xuan, J. (2022). Sustainable commercial aviation: what determines air travellers’ willingness to pay more for sustainable aviation fuel?. Journal of Cleaner Production, 374. https://doi.org/10.1016/j.jclepro.2022.133990
• Benzaquen, J., & Vincent, C. (2022). A stratified bootstrapping approach to assessing the success of TQM implementation in Peruvian companies. Total Quality Management & Business Excellence, 33(1-2), 178-201. https://doi.org/10.1080/14783363.2020.1816165
• Thakera, A., Vincent, C., Pant, A., & Gherman, T. (2022). A DEA and random forest regression approach to studying bank efficiency and corporate governance. Journal of The Operational Research Society, 73(6), 1258-127. https://doi.org/10.1080/01605682.2021.1907239
• Gholizadeh, H., Fathollahi-Fard, A., Fazlollahtabar, H., & Vincent, C. (2022). Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters. Expert Systems with Applications, 193. https://doi.org/10.1016/j.eswa.2021.116419
• Vincent, C., Díaz, J., & Aparicio, J. (2022). The performance of regional governments under the results-based budgeting framework: A two-stage sectoral analysis. Rairo-Operations Research, 56(2), 501–508. https://doi.org/10.1051/ro/2022012
• Lee, C., & Vincent, C. (2022). A robust capacity expansion integrating the perspectives of marginal productivity and capacity regret. European Journal of Operational Research, 296(2), 557-569. https://doi.org/10.1016/j.ejor.2021.04.003
• Ebrahimnejad, A., Tavana, M., & Vincent, C. (2022). Analytics under uncertainty: A novel method for solving linear programming problems with trapezoidal fuzzy variables. Soft Computing, 26(1), 327-347. https://doi.org/10.1007/s00500-021-06389-7
• Marquina, P., & Vincent, C. (2021). A bayesian resampling approach to estimate the difference in effect sizes in consumer social responses to CSR initiatives versus corporate abilities. Corporate Social Responsibility and Environmental Management, 28(6), 1680-1699. https://doi.org/10.1002/csr.2138
• Tang, Y., Vincent, C., Belimam, D., & Dastgir, S. (2021). Risk, competition, efficiency and its interrelationships: evidence from the Chinese banking industry. Asian Review of Accounting, 29(4), 579-598. https://doi.org/10.1108/ARA-06-2020-0100
• Vincent, C., Chión, S., & Gherman, T. (2021). Expert decision-making: A Markovian approach to studying the agency problem. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2021.115451
• Chión Chacón, S., Vincent, C., & Morales, J. (2020). The impact of organizational culture, organizational structure, and technological infrastructure on process improvement through knowledge sharing. Business Process Management Journal, 26(6), 1443-1472. doi.org/10.1108/BPMJ-10-2018-0279
• Vincent, C., & D’Alessio, F. (2020). An envelopment-based approach to measuring regional social progress. Socio-Economic Planning Sciences, 70. doi.org/10.1016/j.seps.2019.05.004
• Vincent, C., Aparicio, J., & Zhu, J. (2019). The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis. European Journal of Operational Research, 279(3), 929-940. https://doi.org/10.1016/j.ejor.2019.06.025
• Chión Chacón, S., & Vincent, C. (2019). Managing traffic behavior: A theoretical examination of aggressive driving through a Markovian model. Operations Research and Decisions, 29(2), 5-20. 10.5277/ord190201
• Hansun, S., Vincent, C., Indrati, C. R., & Subanar (2019). Revisiting the holt-winters’ additive method for better forecasting. International Journal of Enterprise Information Systems, 15(2), 43-57.
• Vincent, C. (2019). DEA in Healthcare Management in Conjunction with Data Science. Health Care Management Science, 22(3), 391-393.
• Vincent, C. (2019). Editorial. Health Care Management Science, 22(3), 391-393.
• Vincent, C., Gupta, S., & Ali, I. (2019). A fuzzy goal programming approach for solving multi-objective supply chain network problems with pareto-distributed random variables. international Journal of Uncertainty, Fuzziness and Knowledge-Based Systems., 27(4), 559-593. https://doi.org/10.1142/S0218488519500259
• Vincent, C., & Sei, T. (2019). A two-stage OGI approach to compute the regional competitiveness index. Competitiveness Review: An International Business Journal, 29(2), 78-95. doi.org/10.1108/CR-08-2017-0050
• D’Alessio, F., Avolio, B. E., & Vincent, C. (2019). Studying the impact of critical thinking on the academic performance of executive MBA students. Thinking Skills and Creativity, 31, 275-283. doi.org/10.1016/j.tsc.2019.02.002
• Kumar, M., Sujit, K., & Vincent, C. (2018). Deriving managerial implications through SERVQUAL gap elasticity in UAE banking. International Journal of Quality & Reliability Management, 35(4), 940-964. doi.org/10.1108/IJQRM-10-2016-0176
• Gupta, P., Mehlawat, M. K., Aggarwal, U., & Vincent, C. (in press). An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry. To appear in Resources Policy.
• Chión Chacón, S., & Vincent, C. (2018). The risk and reward management in innovation portfolios: A Markovian approach. Croatian Operational Research Review, 9(2), 165-182. http://dx.doi.org/10.17535/crorr.2018.0013
• Vincent, C., Tsolas, I. E., & Gherman, T. (2018). Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector. Annals of Operations Research, 269(1-2), 81-102. https://doi.org/10.1007/s10479-017-2552-x
• Chión Chacón, S., Vincent, C., & Tavana, M. (2018). Impact of incentive schemes and personality-tradeoffs on two-agent coopetition with numerical estimations. Measurement, 125, 182-195. doi.org/10.1016/j.measurement.2018.03.075
• Färe, R., & Vincent, C. (2018). A directional distance function approach to void the non-Archimedean in DEA. Journal of the Operational Research Society, 69(5), 772-775. doi.org/10.1057/s41274-017-0264-x
• Shiraz, R. K., Vincent, C., Tavana, M., & Di Caprio, D. (2017). A redundancy detection algorithm for fuzzy stochastic multi-objective linear fractional programming problems. Stochastic Analysis and Applications, 35(1), 40-62.
• Kheirollahi, H., Hessari, P., Vincent, C., & Chawshini, R. (2017). An input relaxation model for evaluating congestion in fuzzy DEA. Croatian Operational Research Review, 8(2), 391-408. doi.org/10.17535/crorr.2017.0025
• Vincent, C., & Díaz, J. G. (2017). A non-radial DEA index for Peruvian regional competitiveness. Social Indicators Research, 134(2), 747–770. doi.org/10.1007/s11205-016-1444-9
• Tao, Y., Lee, L. H., Chew, E. P., Sun, G., & Vincent, C. (2017). Inventory control policy for a periodic review system with expediting. Applied Mathematical Modelling, 49, 375-393. doi.org/10.1016/j.apm.2017.04.036
• Valiakos, A., & Vincent, C. (2017). Tuning data sample for data envelopment analysis. International Journal of Operational Research, 30(3), 407 – 420. doi.org/10.1504/IJOR.2017.087280
• Vincent, C., & Cornillier, F. (2017). Value of the stochastic efficiency in data envelopment analysis. Expert Systems with Applications, 81, 349-357.
• Vincent, C., & Zavala, J. (2017). A satisficing DEA model to measure the customer-based brand equity. RAIRO – Operations Research, 51(3), 547-566. doi.org/10.1051/ro/2016041
• Coronado, F., Vincent, C., & Dwyer, R. (2017). Measuring regional competitiveness through agricultural indices of productivity: The Peruvian case. World Journal of Entrepreneurship, Management and Sustainable Development, 13(2), 78-95. doi.org/10.1108/WJEMSD-06-2016-0031
• Díaz, J. G., & Vincent, C. (2016). Regulatory design and technical efficiency: Public transport in France. Journal of Regulatory Economics, 50(3), 328–350. link.springer.com/10.1007/s11149-016-9308-4
• Kumar, M., Vincent, C., & Mishra, C. (2016). Evaluating the performance of Indian banking sector using DEA during post-reform and global financial crisis. Journal of Business Economics and Management, 17(1), 156–172. doi.org/10.3846/16111699.2013.809785
• Sánchez, R., Vincent, C., González, M., & Paliza, J. C. (2016). Measuring the performance of a dehydration plant of apples. Applied Mathematical Modelling, 40(21-22), 9118-9130. doi.org/10.1016/j.apm.2016.05.032
• Vincent, C. (2016). Mining & mitigating social conflicts in Peru. Surveys in Operations Research and Management Science, 43(2), 34-38.
• Vincent, C. (2016). Technical efficiency analytics for the public banks in Argentina. Public Enterprise Journal, 22(1), 118-139. www.icpe.int/now-available/922-public-enterprise-half-yearly-journal-2016-issue-22-vol-1-article-7
• Vincent, C., Färe, R., & Grosskopf, S. (2016). A translation invariant pure DEA model. European Journal of Operational Research, 249(1), 390-392. doi.org/10.1016/j.ejor.2015.09.037
• Vincent, C., Tavana, M., & Gherman, T. (2015). The right to be forgotten – is privacy sold out in the big data age?. International Journal of Society Systems Science, 7(4), 283-298.
• Vincent, C. (2015). Mining cluster development in Peru: Learning from the international best practice. Journal of Applied Environmental and Biological Sciences, 5(1), 1-13.
• Vincent, C., & Gherman, T. (2015). Student-based brand equity in the business schools sector: An exploratory study. New Educational Review (TNER), 42(4), 165-176.
• Levy, F., Rusinaru, D., Marechaux, S., Vincent, C., Peltier, M., & Tribouilloy, S. (2015). Determinants and prognosis of atrial fibrillation in patients with aortic stenosis. American Journal of Cardiology, 116(10), 1541-1546.
• Vincent, C., Ansari, S., & Khodabakhshi, M. (2015). Joint chance constrained reliability optimization with general form of distributions. International Journal of Operations Research, 12(3), 57-68.
• Tribouilloy, C., Rusinaru, D., Vincent, C., Boulif, J., Maes, F., Levy, F., Pasquet, A., Merechaux, S., & Vanoverschelde, J. L. (2015). Progression of low-gradient, low-flow, severe aortic stenosis with preserved left ventricular ejection fraction. American Journal of Cardiology, 116(4), 612-617.
• Tsolas, I., & Vincent, C. (2015). Green exchange-traded fund performance appraisal using slacks-based DEA models. Operational Research, 15(1), 51-77. link.springer.com/article/10.1007%2Fs12351-015-0169-x
• Cornillier, F., & Vincent, C. (2015). Measuring the attractiveness of academic journals: A direct influence aggregation model. Operations Research Letters, 43(2), 172-176.
• Tsolas, I. E., & Vincent, C. (2015). Incorporating risk into bank efficiency: A satisficing DEA approach to assess the Greek banking crisis. Expert Systems with Applications, 42(7), 3491-3500. www.sciencedirect.com/science/article/pii/S0957417414008124#
• Vincent, C., & Gherman, T. I. (2014). Factors influencing students’ choice of a B-school. New Educational Review, 37(3), 117-139.
• Vincent, C., & Zegarra, L. F. (2014). Measuring regional competitiveness through data envelopment analysis: A Peruvian case. Expert Systems with Applications, 41(11), 5371-5381. www.sciencedirect.com/science/article/pii/S0957417414001286
• Shiraz, R. K., Vincent, C., & Jalalzadeh, L. (2014). Fuzzy rough DEA model: A possibility and expected value approaches. Expert Systems with Applications, 41(2), 434-444. www.sciencedirect.com/science/article/pii/S0957417413005563
• Vincent, C., & Kumar, M. (2014). Satisficing data envelopment analysis: An application to SERVQUAL efficiency. Measurement, 51, 71-80.
• Vincent, C., & Gherman, T. I. (2013). Factors influencing Peruvian women to become entrepreneurs. World Applied Sciences Journal, 27(10), 1345-1354. www.idosi.org/wasj/wasj27(10)13/17.pdf
• Vincent, C., & Gherman, T. I. (2013). Achieving competitive advantage through big data. Strategic implications. Middle East Journal of Scientific Research, 16(8), 1069-1074. www.idosi.org/mejsr/mejsr16(8)13/6.pdf
• Vincent, C., Kumar, M., & Suggu, S. (2013). Adapting fuzzy linguistic servqual model: A comparative analysis of bank services. Middle East Journal of Scientific Research, 18(8), 1119-1132.
• Farber, V., & Vincent, C. (2013). Is the perception of CSR country bound? A CSR based reputation study of Spanish companies in Latin America. ESIC Market Journal, 44(2), 9-35.
• Vincent, C., Kumar, M., & Suggu, S. (2013). Chance constrained programming approach to QFD: An application to quality requirement planning of a B-School. Journal of ISPS, 13(1), 39-53. www.researchgate.net/publication/224969516_Chance_Constrained_Programming_Approach_to_Q…
• Vincent, C., & Gupta, P. (2013). Optimization of chance constraint programming with sum-of-fractional objectives – An application to assembled printed circuit board problem. Applied Mathematical Modelling, 37(5), 3564-3574. yadda.icm.edu.pl/yadda/element/bwmeta1.element.elsevier-abad2062-922d-3e87-b052-e5b76e8163ef
• Vincent, C., Ansari, S. I., & Khalid, M. M. (2012). Multi-objetive stochastic linear programming with general form of distributions. Journal of Statistics and Operations Research Transactions, 2(2), 261-278.
• Cornillier, F., Pécora, J. E., & Vincent, C. (2012). A variable depth search branching. Operations Research Letters, 40(4), 265-271. www.elsevier.com/locate/orl
• Vincent, C., & Udhayakumar, A. (2012). Genetic algortihm for chance constrained reliability stochastic optimisation problems. International Journal of Operational Research, 14(4), 417-432. www.inderscience.com/info/inarticle.php?artid=47513
• Vincent, C., Kumar, M., & Kavitha, I. (2012). Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis. International Journal of Production Economics, 136(1), 194-206.
• Vincent, C. (2011). Stochastic fractional programming approach to a mean and variance model of a transportation problem. Mathematical problem in engineering, 2011, 1-12.
• Kumar, M., & Vincent, C. (2011). Benchmarking Indian banks using DEA in post-reform period: A progressive time-weighted mean approach. The Service Industries Journal, 31(14), 2455-2485. www.emeraldinsight.com/bibliographic_databases.htm?id=1952953
• Vincent, C., Kumar, M., Zegarra, L. F., & Avolio, B. E. (2011). Benchmarking Peruvian banks using data envelopment analysis. Journal of CENTRUM Cathedra, 4(2), 147-164. centrumwebs.pucp.edu.pe/jcc/vol/4/issue/2/article/1
• Udhayakumar, A., Vincent, C., & Kumar, M. (2011). Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems. OMEGA: The International Journal of Management Science, 39(4), 387-397.
• Vincent, C., Kumar, M., & Tulika, A. (2011). Conjoint analysis and MDS approach to brand improvement of an aerosol product. Journal of CENTRUM Cathedra, 4(1), 27-43. centrumwebs.pucp.edu.pe/jcc/vol/4/issue/1/article/2
• Kumar, M., Tat Kee, F., & Vincent, C. (2010). Comparative evaluation of critical factors in delivering service quality of banks: An application of dominance analysis in modified SERVQUAL model. International Journal of Quality and Reliability Management, 27(3), 351-377.
• Vincent, C., A, U., & V, U. (2010). An approach to find redundant objective function(s) and redundant constraint(s) in multi-objective nonlinear stochastic fractional programming problems. European Journal of Operational Research, 201(2), 390-398. www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VCT-4VXDTWH-7-1&_cdi=5963&_user=965259&_pii=…
• Vincent, C., Udhayakumar, A., & Uthariaraj, R. (2010). Stochastic simulation-based genetic algorithm for chance constrained fractional programming problem. International Journal of Operational Research, 9(1), 23-38.
• Kumar, M., & Vincent, C. (2009). Productivity growth as the predictor of shareholders’ wealth maximization: An empirical investigation. Journal of CENTRUM Cathedra, 2(1), 73-85. centrumwebs.pucp.edu.pe/jcc/vol/2/issue/1/article/6
• Vincent, C., & Parasuraman, N. R. (2009). Pricing options: The volatile versus actual. SCMS Journal of Indian Management, 6(1), 18-25.
• Vincent, C., & Charles, I. (2008). Marching towards six sigma: A case study on assembled printed circuit boards. The SPSS Analyst, 31-38.
• Yadavalli, V. S., Malada, A., & Vincent, C. (2007). Reliability stochastic optimization for an n-stage series system with m chance constraints. South African Journal of Science, 113(11-12), 502-504.
• Vincent, C., Kavitha, S. Irene, & Mokhtar, N. A. (2007). E-Model for transportation problem of linear stochastic fractional programming. KUTPM Journal of Technology Management, 5(1), 13-21.
• Vincent, C., Duprez, T. J., Kabamba, B., Ivanoiu, A., & Sindic, C. J. (2007). Poliomyelitis-like syndrome with matching magnetic resonance features in a case. Journal of Neurology, Neurosurgery, and Psychiatry, 78(10), 1160-1161.
• Vincent, C., Duprez, T. J., Kabamba, B., Ivanoiu, A., & Sindic, C. J. (2007). Poliomyelitis-like syndrome in a case of neuroborreliosis with clinical-radiological coherence. European Journal of Neurology, 14, 258-258.
• George, R., Vincent, C., & Raphael, S. (2007). Indian context: Bonus issue and share price. SCMS Journal of Indian Management, 4(3), 74-86.
• Vincent, C. (2007). Decision of laptop configuration and brand through SPSS conjoint analysis. The SPSS Analyst, 1-6.
• Vincent, C., Boulvin, S., Haven, F., & Gille, M. (2006). Wernicke’s encephalopathy associated with chronic disulfiram intoxication.. Revue Neurologique, 162(12), 1252-1256.
• Vincent, C., & Dutta, D. (2006). Extremization of multi-objective stochastic fractional programming problem. Annals of Operations Research, 143(1), 297-304. www.springerlink.com/content/51n2777452437881/fulltext.pdf?page=1
• Vincent, C., & Dutta, D. (2006). Identification of redundant objective functions in multi-objective stochastic fractional programming problems. Asia-Pacific Journal of Operational Research, 23(2), 155-170. www.worldscinet.com/apjor/23/2302/S0217595906000863.html
• Vincent, C. (2005). A stochastic goal programming model for capital rationing – Carry forward of cash problem with mixed constraints. The ICFAI Journal of Applied Finance, 11(11-12), 37-48.
• Vincent, C., & Dutta, D. (2005). Non-linear stochastic fractional programming models of financial derivatives. The ICFAI Journal of Applied Finance, 11(6), 5-13.
• Altar, C. A., Jurata, L. W., Vincent, C., Lemire, A., Liu, P., Bukhman, Y., Young, T. A., Bullard, J., Yokoe, H., Webster, M. J., Knable, M. B., & Brockman, J. A. (2005). Deficient hippocampal neuron expression of proteasome, ubiquitin, and mitochondrial genes in multiple schizophrenia cohorts. Biological Psychiatry, 58(2), 85-96.
• Vincent, C. (2005). Abstract of the Doctoral Thesis – Optimization of stochastic fractional programming problems. Mathematics News Letter, 15(1), 14.
• Pearlman, R. C., Isley, M. R., Ruben, G. D., Sandler, S. C., Weisbaum, B., Khan, M. A., Greene, B. S., Vincent, C., & Shah, A. (2005). Intraoperative monitoring of the recurrent laryngeal nerve using acoustic, free-run, and evoked electromyography. Journal of Clinical Neurophysiology, 22(2), 148-152.
• Vincent, C., & Dutta, D. (2004). A method for solving linear stochastic fractional programming problem with mixed constraints. Acta Ciencia Indica, 30(3), 497-506.
• Jurata, L. W., Bukhman, Y. V., Vincent, C., Capriglione, F., Bullard, J., Lemire, A. L., Mohammed, A., Pham, Q., Laeng, P., Brockman, J. A., & Altar, C. A. (2004). Comparison of microarray-based mRNA profiling technologies for identification of psychiatric disease and drug signatures. Journal of Neuroscience Methods, 138(1-2), 173-188.
• Jeeva, M., Rajagopal, R., Vincent, C., & Yadavalli, V.S.S (2004). An application of stochastic programming with weibull distribution-cluster based optimum allocation of recruitment in manpower planning. Stochastic Analysis and Applications, 22(3), 801-812. www.informaworld.com/smpp/469341300-944401/content~db=all~content=a713753662
• Altar, C. A., Laeng, P., Jurata, L. W., Brockman, J. A., Lemire, A., Bullard, J., Bukhman, Y. V., Young, T. A., Vincent, C., & Palfreyman, M. G. (2004). Electroconvulsive seizures regulate gene expression of distinct neurotrophic signaling pathways. Journal of Neuroscience, 24(11), 2667-2677.
• Vincent, C., & Dutta, D. (2002). Two level linear stochastic fractional programming problem with discrepancy vector. Journal of Indian Society of Statistics and Operations Research, 23(1-4), 59-67.
• Hanbury, R., Vincent, C., Chen, E. Y., Leventhal, L., Rosenstein, J. M., Mufson, E. J., & Kordower, J. H. (2002). Excitotoxic and metabolic damage to the rodent striatum: Role of the p75 neurotrophin receptor. The Journal of Comparative Neurology, 444(4), 291-305.
• Whetsell, W. O., Reddy, P. H., Vincent, C., & Tagle, D. A. (1999). Evaluation of neuropathologic changes in striatum and cerebral cortex of transgenic mice expressing full-length human HD cDNA: A new model for Huntington’s disease. Journal of Neuropathology & Experimental Neurology, 58(5), 560-560.
• Kordower, J. H., Chen, E. Y., Winkler, C., Fricker, R., Vincent, C., Messing, A., Mufson, E. J., Wong, S. C., Rosenstein, J. M., Bjorklund, A., Emerich, D. F., Hammang, J., & Carpenter, M. K. (1997). Grafts of EGF-responsive neural stem cells derived from GFAP-hNGF transgenic mice: Trophic and tropic effects in a rodent model of Huntington’s disease. Journal of Comparative Neurology, 387(1), 96-113.
• Bartus, R. T., Dean, R. L., Abelleira, S., Vincent, C., & Kordower, J. H. (1996). Dissociation of p75 receptors and nerve growth factor neurotrophic effects: Lack of p75 immunoreactivity in striatum following physical trauma, excitotoxicity and NGF administration. Restorative Neurology and Neuroscience, 10(1), 49-59.
• Vincent, C., Mufson, E. J., Friden, P. M., Bartus, R. T., & Kordower, J. H. (1996). Atrophy of cholinergic basal forebrain neurons following excitotoxic cortical lesions is reversed by intravenous administration of an NGF conjugate. Brain Research, 722(8), 193-203.

Libros

• Chión Chacón, S., & Vincent, C. (2019). Gestión de portafolios de renta fija (pp. 412). CENGAGE Learning.
• Chión Chacón, S., & Vincent, C. (2016). Analítica de datos para la modelación estructural (pp. 547). Lima: Pearson. www.mypearsonshop.com.mx/Mexico/catalogo/anal%C3%ADtica-de-datos-para-la-modelaci%C3%B3n-estructural-1ed-ebook
• Vincent, C., & Kumar, M. (2014). In Charles, V. & Kumar, M. (Ed.), Business performance measurement and management. Cambridge Scholars Publishing. www.cambridgescholars.com/business-performance-measurement-and-management
• Vincent, C., & Kumar, M. (2012). Data envelopment analysis and its applications to management (pp. 275). Newcastle: Cambridge Scholars Publishing. www.c-s-p.org/flyers/978-1-4438-4132-0-sample.pdf

Capítulos en libros

• Vincent, C., Kumar, M., & Kavitha, I. (2014). The performance of printed circuit boards in the presence of production errors: A comparative analysis using various DEA models. In Osman, I.; Anouze, A. & Emrouznejad, A. (Ed.), Handbook of research on strategic performance management and measurement using data envelopment analysis (pp. 506-528). IGI International Publishers. www.igi-global.com/book/handbook-research-strategic-performance-management/75841#table-of-contents
• Arsham, H., Vincent, C., & Adlakha, V. (2014). Decisions for the performance-design process: A single-run discrete events simulation approach. In Charles, V. & Kumar, M. (Ed.), Business performance measurement and management (pp. 506-528). Cambridge Scholars Publishing.
• Kumar, M., & Vincent, C. (2014). Performance measurement in terms of total factor productivity growth: A survey of the evolution of different approaches. In Charles, V. & Kumar, M. (Ed.), Business performance measurement and management (pp. 1-18). Cambridge Scholars Publishing.
• Vincent, C., & Kumar, M. (2012). An introduction to data envelopment analysis. In Ch. Vincent and M. Kumar (Ed.), Data envelopment analysis and its applications to management (pp. 1-28). Newcastle: Cambridge Scholars Publishing. www.c-s-p.org/flyers/978-1-4438-4132-0-sample.pdf
• Vincent, C., & Kumar, M. (2012). Ranking Peruvian banks through super-efficiency DEA under variable returns to scale. Data envelopment analysis and its applications to management (pp. 116-135). Newcastle: Cambridge Scholars Publishing. www.c-s-p.org/flyers/978-1-4438-4132-0-sample.pdf
• Vincent, C. (2008). Inventory Optimization: Introduction. Simple Kanban Technique for Better Inventory Management. The ICFAI University Press.
• Vincent, C. (2008). Simple kanban technique for better inventory management. In T.P. Rajmanohar (Ed.), Inventory optimization: Introduction. Hyderabad: The ICFAI University Press.

Artículos en revistas

• Vincent, C., & Vanina, A. (2013). La percepción de la RSC, ¿depende del país? Un estudio sobre la reputación de las empresas españolas en América Latina sobre la base de la RSC. Esic Market Economics and Business Journal, 44(2), 37-65.

Otras investigaciones

• Vincent, C. (2008). Decision support via stochastic programming models.
• Vincent, C., Ramli, N. A., & Mokhtar, N. A. (2008). Advanced mathematical programming techniques in LINDO and LINGO (vol. 1, pp. 138-172).
• Vincent, C., & Ramli, N. A. (2008). Advanced mathematical programming techniques in MATLAB and AMPL (vol. 1, pp. 91-137).
• Vincent, C., & Kumar, M. (2008). DEA: An efficiency measurement tool (vol. 1, pp. 75-90).
• Vincent, C. (2008). Fractional programming and its special class of applications (vol. 1, pp. 23-43).
• Vincent, C., & Ramli, N. A. (2008). Optimization of some of mathematical programming through MATLAB and AMPL.
• Vincent, C. (2008). Stochastic programming and its special class of applications (vol. 1, pp. 44-74).
• Vincent, C. (2016). Arquitectura 43 para la innovación en los servicios: La innovación no aparece por arte de magia (40th ed., vol. 10, pp. 105-114). Lima: Strategia.
• Vincent, C. (2015). Mining cluster development in Peru: From triple helix to the four-clover (38th ed., vol. 9, pp. 38-46). Lima: Strategia.
• Vincent, C. (2015). Hacer negocios a través de los continentes: Un llamado a la reflexión (37th ed., vol. 9, pp. 8-18). Lima: Strategia.
• Vincent, C., & Dutta, D. (2005). Linear stochastic fractional programming with sum-of- probabilistic fractional objective. https://optimization-online.org/2005/06/1142/

El profesor Charles Vincent centra sus investigaciones en el análisis de eficiencia, la optimización estocástica y la inteligencia artificial aplicada a la gestión de operaciones. Sus estudios buscan mejorar la toma de decisiones en sectores como la banca, la logística y la sostenibilidad empresarial mediante modelos de optimización y análisis de datos. Entre sus investigaciones más destacadas se encuentran “A critical analysis of the integration of blockchain and artificial intelligence for supply chain”, publicado en Annals of Operations Research, y “School education development index: A meta-frontier range directional measure benefit-of-the-doubt model”, en Socio-Economic Planning Sciences, donde explora metodologías para evaluar el desarrollo educativo.

Metodológicamente, el profesor Vincent emplea modelos matemáticos avanzados como Data Envelopment Analysis (DEA), programación estocástica y aprendizaje automático para evaluar la eficiencia operativa y la optimización en diferentes industrias. Sus investigaciones abordan problemáticas como la medición del desempeño en la educación y la banca, la eficiencia en la cadena de suministro y el impacto de la incertidumbre económica en la innovación tecnológica. Su enfoque interdisciplinario integra la investigación operativa con la inteligencia artificial y la estadística aplicada, permitiendo la formulación de estrategias más precisas para la gestión empresarial y la política pública.

Sus principales hallazgos destacan la importancia de incorporar modelos predictivos en la evaluación de eficiencia y en la optimización de recursos en sectores estratégicos. Sus estudios han sido publicados en revistas indexadas como European Journal of Operational Research, Global Finance Journal y Total Quality Management & Business Excellence. Como alternativas de solución, propone la adopción de técnicas de inteligencia artificial en la gestión empresarial y el desarrollo de políticas de optimización basadas en análisis de datos en tiempo real.

Palabras clave: Optimización estocástica, análisis de eficiencia, inteligencia artificial, gestión de operaciones y modelos predictivos.

• Reconocimiento a la Investigación (RI) 2023, Pontificia Universidad Católica del Perú (PUCP) (2024).
• Reconocimiento a la Calidad de la Investigación 2023 en Tiempo Completo, CENTRUM PUCP (2024).
• Reconocimiento a la Calidad de la Investigación 2022 en Tiempo Completo, CENTRUM PUCP (2023).
• Reconocimiento a la Investigación (RI) 2022, Pontificia Universidad Católica del Perú (PUCP) (2023).
• Reconocimiento a la Investigación (RI) 2021, Pontificia Universidad Católica del Perú (PUCP) (2022).
• Reconocimiento a Investigador distinguido del 2013 al 2016 en Tiempo Completo, CENTRUM PUCP (2017).
• Reconocimiento a la Producción Intelectual de Profesores Tiempo Completo 2016, CENTRUM PUCP (2017).
• Reconocimiento a Investigador distinguido del 2012 al 2015 en Tiempo Completo, CENTRUM PUCP (2016).
• Reconocimiento a la Producción Intelectual de Profesores Tiempo Completo 2015, CENTRUM PUCP (2016).
• Reconocimiento a la Excelencia Académica en Programas de Maestrías 2015 TC, CENTRUM PUCP (2016).
• Reconocimiento a Investigador Distinguido 2014 en Tiempo Completo, CENTRUM PUCP (2015).
• Reconocimiento a la Producción Intelectual 2014 en Tiempo Completo, CENTRUM PUCP (2015).
• Who’s Who in Science and Engineering 2014 (31st ed.), MARQUIS Who’sWho in America (2015).
• Reconocimiento a la Producción Intelectual 2013 en Tiempo Completo, CENTRUM PUCP (2014).
• Premio a los Mejores Think Tank del Perú, Revista PODER (2013).
• Summer Grants 2013, Emerging Markets Institute (EMI) of Johnson Cornell University, Ithaca, NY, United States (2013).
• Who’s Who in Science and Engineering 2012-13 (12th ed.), MARQUIS Who’s Who (2013).
• Reconocimiento a la Contribución Intelectual de Profesores Tiempo Completo 2012, CENTRUM PUCP (2013).
• Highly Commended Award winner 2012, Emerald/CLADEA Latin American Management Research Fund (2013).
• 2000 Outstanding Intellectuals of the 21st Century, International Biographical Centre (2012).
• Best Paper Award in Marketing of the ESIC Market Best Papers Awards, CLADEA 2012 (2012).
• Who’sWho in Science and Engineering 2011-12 (11th Edition), MARQUIS Who’s Who (2012).
• Premio por Producción Intelectual 2011, CENTRUM PUCP (2012).
• Highly Commended Award 2011, Emerald/CLADEA Latin American Management Research Fund (2012).
• Postdoctoral Fellowship from March 2009 – March 2011, Supply chain and port logistics, Centre for Maritime Studies, National University of Singapore (2009).
• Premio por Producción Intelectual 2010 en Tiempo Completo, CENTRUM PUCP (2011).
• The IBC LEADING PROFESSIONALS of the WORLD 2010, International Biographical Centre (2011).
• Highly Commended Award 2010, Emerald/CLADEA Latin American Management Research Fund (2011).
  Best research paper award (2006) – Finance, The Centre for Financial Excellence KLS’ IMER (2007).
• Best paper award in Finance for the paper Stochastic Programming Models to Finance awarded by Centre for Financial Excellence, KLS’ Institute for Management Education & Research, Belgaum (2005).