ESTIMATING THE INCIDENCE OF OPERATIONAL RISKS ON CORPORATE SUSTAINABILITY IN THE CEMENT INDUSTRY THROUGH FINANCIAL SIMULATION
| dc.contributor.affiliation | Sepúlveda, M.B., Universidad de Medellín, Colombia | |
| dc.contributor.affiliation | Polanco, J.-A., Faculty of Engineering, Universidad de Medellín, Antioquia, Colombia | |
| dc.contributor.affiliation | Cuervo, F.I., Universidad de Medellin, Antioquia, Colombia | |
| dc.contributor.author | Sepúlveda M.B | |
| dc.contributor.author | Polanco J.-A | |
| dc.contributor.author | Cuervo F.I. | |
| dc.date.accessioned | 2025-04-28T22:09:36Z | |
| dc.date.available | 2025-04-28T22:09:36Z | |
| dc.date.issued | 2024 | |
| dc.description | This study estimates the impact of operational risks on corporate sustainability in the cement industry through a financial simulation. The methodology is based on a case study in the cement industry and identifies company’s operational risks before classifying them through a taxonomy of environmental, social and economic variables. The impact is quantified using a stochastic model with a Poisson distribution for frequency and a PERT distribution for severity. The results show that it is possible to quantify aggregate losses through the proposed probability distributions, eliminating the limitations faced by companies in the absence of historical information, and it is concluded that the average impact of these risks on FCF varies between 7.52% and 13.13% for the case study, also demonstrating that the impact is reduced when risks are proactively managed. Finally, the proposed model allows calculation and simulation of the financial impact of these risks on the company’s free cash flow and establishes strategies for cost mitigation and financial optimization. This research has two limitations: the validation in a single industry and the limitation of using solver for optimization. © 2024, Dimitar A Tsenov Academy of Economics. All rights reserved. | |
| dc.identifier.doi | 10.58861/tae.bm.2024.3.03 | |
| dc.identifier.instname | instname:Universidad de Medellín | spa |
| dc.identifier.issn | 8616604 | |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | spa |
| dc.identifier.repourl | repourl:https://repository.udem.edu.co/ | |
| dc.identifier.uri | http://hdl.handle.net/11407/8835 | |
| dc.language.iso | eng | |
| dc.publisher | Dimitar A Tsenov Academy of Economics | spa |
| dc.publisher.faculty | Facultad de Ingenierías | spa |
| dc.publisher.program | Ingeniería en Energía | spa |
| dc.relation.citationendpage | 55 | |
| dc.relation.citationissue | 3 | |
| dc.relation.citationstartpage | 38 | |
| dc.relation.citationvolume | 2024 | |
| dc.relation.isversionof | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204983385&doi=10.58861%2ftae.bm.2024.3.03&partnerID=40&md5=03bd13b9db1722692aa092b81d63e110 | |
| dc.relation.references | Alshehhi, A., Nobanee, H., Khare, N., The impact of sustainability practices on corporate financial performance: Literature trends and future research potential (2018) Sustainability (Switzerland), 10 (2) | |
| dc.relation.references | Areia, N. P., Tavares, A. O., Costa, P. J. M., Public perception and preferences for coastal risk management: Evidence from a convergent parallel mixed-methods study (2023) Science of the Total Environment, p. 882 | |
| dc.relation.references | Batista, J. O., Almeida, J. P. A., Zambon, E., Guizzardi, G., Ontologically correct taxonomies by construction (2022) Data and Knowledge Engineering, p. 139 | |
| dc.relation.references | Berger, A. N., Curti, F., Mihov, A., Sedunov, J., Operational Risk is More Systemic than You Think: Evidence from U.S. Bank Holding Companies (2022) Journal of Banking and Finance, 143 | |
| dc.relation.references | Boikanyo, D. H., Naidoo, M., The Influence of Organisational Support, Advancement, Meaningfulness and Psychological Safety on Employee Engagement in a Petrochemical Organisation (2023) WSEAS Transactions on Business and Economics, 20 | |
| dc.relation.references | Bonet, I., Peña, A., Lochmuller, C., Patiño, H. A., Chiclana, F., Góngora, M., Applying fuzzy scenarios for the measurement of operational risk (2021) Applied Soft Computing, 112 | |
| dc.relation.references | Bravo Sepulveda, M., Wilke, D. N., Isaza Cuervo, F., Polanco, J.-A., (2023) A STOCHASTIC MODEL TO QUANTIFY AND OPTIMIZE THE IMPACT OF OPERATIONAL RISKS ON CORPORATE SUSTAINABILITY USING MONTE CARLO SIMULATION, 28 (2) | |
| dc.relation.references | Brennan, M., Hennessy, T., Dillon, E., Meredith, D., Putting social into agricultural sustainability: Integrating assessments of quality of life and wellbeing into farm sustainability indicators (2023) Sociologia Ruralis, 63 (3), pp. 629-660 | |
| dc.relation.references | Callahan, C., Soileau, J., Does Enterprise risk management enhance operating performance? (2017) Advances in Accounting, 37, pp. 122-139 | |
| dc.relation.references | Dutta, P., Choi, T. M., Somani, S., Butala, R., Blockchain technology in supply chain operations: Applications, challenges and research opportunities (2020) Transportation Research Part E: Logistics and Transportation Review, 142 | |
| dc.relation.references | Escobar-Sierra, M., Lara-Valencia, L. A., ValenciaDeLara, P., ‘Step-by-step’ method to conduct applied research in organizational engineering and business management (Método ‘paso a paso’ para la investigación aplicada en el ámbito de la ingeniería organizacional y la gestión empresarial) (2021) Cultura y Educacion, 33 (1), pp. 28-77 | |
| dc.relation.references | Gabrielli, P., Campos, J., Becattini, V., Mazzotti, M., Sansavini, G., Optimization and assessment of carbon capture, transport and storage supply chains for industrial sectors: The cost of resilience (2022) International Journal of Greenhouse Gas Control, 121 | |
| dc.relation.references | Gupta, A. K., Gupta, N., Effect of corporate environmental sustainability on dimensions of firm performance – Towards sustainable development: Evidence from India (2020) Journal of Cleaner Production, 253, p. 119948 | |
| dc.relation.references | Herbon, A., Tsadikovich, D., An efficient entropy-based stopping rule for mitigating risk factors in supply nets (2023) International Journal of Production Economics, p. 260 | |
| dc.relation.references | Hussain, T., A zero truncated discrete distribution: Theory and applications to count data (2020) Pakistan Journal of Statistics and Operation Research, 16 (1), pp. 167-190 | |
| dc.relation.references | Kamble, S. S., Gunasekaran, A., Gawankar, S. A., Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives (2018) Process Safety and Environmental Protection, 117, pp. 408-425 | |
| dc.relation.references | Kritzman, M., What Practitioners Need to Know…About Monte Carlo Simulation (1993) Financial Analysts Journal, 49 (6), pp. 17-20 | |
| dc.relation.references | Kumar, M., Choubey, V. K., Sustainable Performance Assessment towards Sustainable Consumption and Production: Evidence from the Indian Dairy Industry (2023) Sustainability (Switzerland), 15 (15) | |
| dc.relation.references | Liu, X., Shen, L., Zhang, K., Estimating the probability distribution of construction project completion times based on drum-buffer-rope theory (2021) Applied Sciences (Switzerland), 11 (15) | |
| dc.relation.references | Lozano, R., Envisioning sustainability three-dimensionally (2008) Journal of Cleaner Production, 16 (17), pp. 1838-1846 | |
| dc.relation.references | Lozano, R., Towards better embedding sustainability into companies’ systems: An analysis of voluntary corporate initiatives (2012) Journal of Cleaner Production, 25, pp. 14-26 | |
| dc.relation.references | Maitland, R., Baets, W., The rise of emergent corporate sustainability: A self-organised view (2021) Systems, 9 (2) | |
| dc.relation.references | Makarova, V., Measuring corporate management in business maturity forecasting models (2021) Original Research, 9 (4), pp. 277-290 | |
| dc.relation.references | Mori, M., Kobayashi, R., Samejima, M., Komoda, N., Risk-cost optimization for procurement planning in multi-tier supply chain by Pareto Local Search with relaxed acceptance criterion (2017) European Journal of Operational Research, 261 (1), pp. 88-96 | |
| dc.relation.references | Patel, P. C., Joao, M., Pagano, M. S., Olson, G. T., Industry pro fi tability matters: The value of sustainable growth rate and distance from bankruptcy as enablers of venture survival (2020) Journal of Business Research, 114 (March), pp. 80-92 | |
| dc.relation.references | Pedraza, J., Zimmermann, A., Tobon, J., Schomäcker, R., Rojas, N., On the road to net zero-emission cement: Integrated assessment of mineral carbonation of cement kiln dust (2021) Chemical Engineering Journal, 408 | |
| dc.relation.references | Peres, C. B., Resende, P. R., Nunes, L. J. R., de Morais, L. C., Circular Economy: A Comprehensive Review of Eco-Friendly Wollastonite Applications (2022) Sustainability (Switzerland), 14 (5) | |
| dc.relation.references | Pertheban, T. R., Thurasamy, R., Marimuthu, A., Venkatachalam, K. R., Annamalah, S., Paraman, P., Hoo, W. C., The Impact of Proactive Resilience Strategies on Organizational Performance: Role of Ambidextrous and Dynamic Capabilities of SMEs in Manufacturing Sector (2023) Sustainability (Switzerland), 15 (16) | |
| dc.relation.references | Plano Clark, V. L., Foote, L. A., Walton, J. B., Combining mixed methods and case study research (2023) International Encyclopedia of Education, pp. 538-549. , R. J. Tierney, F. Rizvi, & K. Ercikan (Eds), (Fourth Edition, Elsevier | |
| dc.relation.references | Shadchenko, N. Y., Syrnikova, L. V, Zhulina, E. G., Efimenko, S. A., Boldyreva, T. V., Innovative Corporate Strategies as Sources of Sustainable Development (2023) Advances in Science, Technology and Innovation, Part F1, pp. 647-650 | |
| dc.relation.references | Sherif, Z., Sarfraz, S., Jolly, M., Salonitis, K., Greening Foundation Industries: Shared Processes and Sustainable Pathways (2023) Sustainability (Switzerland), 15 (19) | |
| dc.relation.references | Shreve, C. M., Kelman, I., Does mitigation save? Reviewing cost-benefit analyses of disaster risk reduction (2014) International Journal of Disaster Risk Reduction, 10 (PA), pp. 213-235 | |
| dc.relation.references | Snyman, J. A., Wilke, D. N., (2018) Practical mathematical optimization, , Springer | |
| dc.relation.references | Suryawanshi, P., Dutta, P., Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions (2022) Transportation Research Part E: Logistics and Transportation Review, p. 157 | |
| dc.relation.references | Yang, Y. C., Risk management of Taiwan’s maritime supply chain security (2011) Safety Science, 49 (3), pp. 382-393 | |
| dc.relation.references | Yosef, F. A., Jum’a, L., Alatoom, M., Identifying and Categorizing Sustainable Supply Chain Practices Based on Triple Bottom Line Dimensions: Evaluation of Practice Implementation in the Cement Industry (2023) Sustainability (Switzerland), 15 (9) | |
| dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
| dc.source | Business Management | |
| dc.source | Bus. Manag. | |
| dc.source | Scopus | |
| dc.subject | Cement industry | |
| dc.subject | Corporate sustainability | |
| dc.subject | Monte Carlo simulation | |
| dc.subject | Operational Risk Model | |
| dc.subject | Cement industry | |
| dc.subject | Corporate sustainability | |
| dc.subject | Monte Carlo simulation | |
| dc.subject | Operational Risk Model | |
| dc.title | ESTIMATING THE INCIDENCE OF OPERATIONAL RISKS ON CORPORATE SUSTAINABILITY IN THE CEMENT INDUSTRY THROUGH FINANCIAL SIMULATION | |
| dc.type | Article | |
| dc.type.local | Artículo revisado por pares | spa |
| dc.type.version | info:eu-repo/semantics/publishedVersion |
