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The importance of enterprise risk management in large companies in Colombia

    Fabio Blanco-Mesa   Affiliation
    ; Julieth Rivera-Rubiano Affiliation
    ; Xiomara Patiño-Hernandez Affiliation
    ; Maribel Martinez-Montaña Affiliation

Abstract

The main aim of this paper is to establish that essential aspects are determinant in the enterprise risk identification (ERI) and the existing interrelationship between each corporate risk goals, in the large companies of Colombia. Study proposes a parametric analysis and a non-parametric. The first uses correlation matrices for statistical analysis, a multiple linear regression statistical tools to identify that essential aspects are determinant in the (ERI). The second proposes a new aggregation called the Bonferroni Induced Ordered Weighted Average Adequacy Coefficient (BON-IHOWAAC) operator and Bonferroni Induced Ordered Weighted Average the Maximum and Minimum level (BON-IHOWAIMAM) to establish the existing interrelationship between each corporate risk goals using the risk management information and manager perception. Of the results obtained is highlighted that for all economic sectors; first, control measures are highlighted in the (ERI) and second, the goal with the greatest interrelationship for the other ones to be achieved is protect people. Finally, the study concludes with a holistic analysis of the importance that executive team gives to the management of risks from the prioritization of objectives and the use of tools for the treatment of information to improve the process of decisions-making in uncertain contexts.


 First published online 5 April 2019

Keyword : enterprise risk management, aggregation operators, decision-making, Bonferroni OWA

How to Cite
Blanco-Mesa, F., Rivera-Rubiano, J., Patiño-Hernandez, X., & Martinez-Montaña, M. (2019). The importance of enterprise risk management in large companies in Colombia. Technological and Economic Development of Economy, 25(4), 600-633. https://doi.org/10.3846/tede.2019.9380
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Apr 5, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ai, J., Brockett, P. L., & Wang, T. (2017). Optimal enterprise risk management and decision making with shared and dependent risks. Journal of Risk and Insurance, 84(4), 1127-1169. https://doi.org/10.1111/jori.12140

Arnold, V., Benford, T., Canada, J., & Sutton, S. G. (2015). Leveraging integrated information systems to enhance strategic flexibility and performance: The enabling role of enterprise risk management. International Journal of Accounting Information Systems, 19, 1-16. https://doi.org/10.1016/j.accinf.2015.10.001

AS/NZS-4360. (2004). Australian/New Zealand standard risk management (3rd ed.). Sydney, Australia: Standards Australia and Standards New Zealand.

Beasley, M. S., Clune, R., & Hermanson, D. R. (2005). Enterprise risk management: An empirical analysis of factors associated with the extent of implementation. Journal of Accounting and Public Policy, 24(6), 521-531. https://doi.org/10.1016/j.jaccpubpol.2005.10.001

Beliakov, G., Bustince Sola, H., & Calvo Sánchez, T. (2016). A practical guide to averaging functions. Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-24753-3

Beliakov, G., James, S., Mordelová, J., Rückschlossová, T., & Yager, R. R. (2010). Generalized Bonferroni mean operators in multi-criteria aggregation. Fuzzy Sets and Systems, 161(17), 2227-2242. https://doi.org/10.1016/j.fss.2010.04.004

Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), B-141-B-164. https://doi.org/10.1287/mnsc.17.4.B141

Bill, A. (2006). Entendiendo la administración de riesgo empresarial. Un modelo emergente para generar valor al accionista. In Swiss Re new markets (pp. 1-27). Retrieved from https://www.riesgooperacional.com/docs/19%20ERM%20Paper.pdf

Blanco-Mesa, F. (2015). Técnicas para la toma de decisiones en contextos inciertos: Identificación de oportunidades socio-económicas en el ámbito deportivo. Universitat de Barcelona. Retrieved from http://www.tesisenred.net/handle/10803/322786

Blanco-Mesa, F., León-Castro, E., & Merigó, J. M. (2018a). Bonferroni induced heavy operators in ERM decision-making: A case on large companies in Colombia. Applied Soft Computing, 72, 371-391. https://doi.org/10.1016/j.asoc.2018.08.001

Blanco-Mesa, F., León-Castro, E., Merigó, J. M., & Xu, Z. (2018b). Bonferroni means with induced ordered weighted average operators. International Journal of Intelligent Systems, 34(1), 3-23. https://doi.org/10.1002/int.22033

Blanco-Mesa, F., & Merigo-Lindahl, J. M. (2016). Bonferroni distances with OWA operators. In 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) (pp. 1-5). IEEE. https://doi.org/10.1109/NAFIPS.2016.7851586

Blanco-Mesa, F., & Merigó, J. M. (2016). Bonferroni means with the adequacy coefficient and the index of maximum and minimum level. Lecture Notes in Business Information Processing, 254, 155-166. https://doi.org/10.1007/978-3-319-40506-3_16

Blanco-Mesa, F., & Merigó, J. M. (2017). Bonferroni distances with hybrid weighted distance and immedate wieghted distance. Fuzzy Economic Review, 22(2), 29-43. https://doi.org/10.25102/fer.2017.02.02

Blanco-Mesa, F., Merigó, J. M., & Gil-Lafuente, A. M. (2017). Fuzzy decision making: A bibliometric-based review. Journal of Intelligent & Fuzzy Systems, 32(3), 2033-2050. https://doi.org/10.3233/JIFS-161640

Blanco-Mesa, F., Merigó, J. M., & Kacprzyk, J. (2016). Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory. Knowledge-Based Systems, 111(1), 217-227. https://doi.org/10.1016/j.knosys.2016.08.016

Blanco-Mesa, F., Gil-Lafuente, A. M., & Merigo, J. M. (2018). Dynamics of stakeholder relations with multi-person aggregation. Kybernetes, 47(9), 1801-1820. https://doi.org/10.1108/K-11-2017-0454

Bonferroni, C. (1950). Sulle medie multiple di potenze. Bollettino Dell’Unione Matematica Italiana, 5(3-4), 267-270.

Bromiley, P., McShane, M., Nair, A., & Rustambekov, E. (2015). Enterprise risk management: Review, critique, and research directions. Long Range Planning, 48(4), 265-276. https://doi.org/10.1016/j.lrp.2014.07.005

Casanovas, M., Merigó, J. M., & Torres-Martínez, A. (2014). Inteligencia computacional en la gestión del riesgo asegurador: Operadores de agregación OWA en procesos de tarificación. Madrid: Fundación MAPFRE.

Casualty Actuarial Society. (2003). Overview of enterprise risk management. Retrieved from https://www.casact.org/area/erm/overview.pdf

Cifuentes, J., Blanco-Mesa, F., Gutiérrez, L. G., Oviedo, E., Godoy, M. R., & Mora, J. M. (2017). Diagnóstico del desarrollo en seguridad y salud laboral en grandes empresas privadas de Bogotá, Colombia. In R. C. Mejía, M. A. Núñez, & I. Martinz (Eds.), Administración de riesgos empresariales (Primera ed., p. 24). Bogotá, Colombia: Editorial EAFIT, Udual, Alafec.

Correa, G., Rios, E., & Acevedo, J. (2017). Evolución de la cultura de la gestión de riesgos en el entorno empresarial Colombiano. Journal of Engineering and Techmology, 6(1), 22-45. https://doi.org/10.22507/jet.v6n1a2

COSO. (2004). Enterprise risk management: Integrated framework. Committee of Sponsoring Organizations of the Treadway Commission. Retrieved from http://www.coso.org/documents/coso_erm_executivesummary.pdf

COSO. (2017). Enterprise risk management: Integrating with strategy and performance. Committee of Sponsoring Organizations of the Treadway Commission.

Davidson, O., Mackenzie, P., Wilkinson, M., & Burke, R. (2015). Risk culture. In P. Green (Ed.), Enterprise risk management: A common framework for the entire organization (1th ed, pp. 177-193). Elsevier Inc.

Deloitte, Touche, & IMEF. (2003). Administración integral de riesgos de negocio. México: Instituto Mexicano de Ejecutivos de Finanzas, A.C.

Demidenko, E., & McNutt, P. (2010). The ethics of enterprise risk management as a key component of corporate governance. International Journal of Social Economics, 37(10), 802-815. https://doi.org/10.1108/03068291011070462

Dutta, B., & Guha, D. (2013). Trapezoidal intuitionistic fuzzy Bonferroni means and its application in multi-attribute decision making. In 2013 IEEE International Conference on Fuzzy Systems (FUZZIEEE) (pp. 1-8). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2013.6622367

Dutta, B., & Guha, D. (2015). Partitioned Bonferroni mean based on linguistic 2-tuple for dealing with multi-attribute group decision making. Applied Soft Computing, 37, 166-179. https://doi.org/10.1016/j.asoc.2015.08.017

Gantz, S. D., & Philpott, D. R. (2013). Success factors. In FISMA and the risk management framework (pp. 105-129) Elsevier. https://doi.org/10.1016/B978-1-59-749641-4.00005-9

Gil-Lafuente, J. (2002). Keys for success in sport management. Vigo: Ed. Malladoiro.

Gong, Y., Hu, N., Zhang, J., Liu, G., & Deng, J. (2015). Multi-attribute group decision making method based on geometric Bonferroni mean operator of trapezoidal interval type-2 fuzzy numbers. Computers & Industrial Engineering, 81, 167-176. https://doi.org/10.1016/j.cie.2014.12.030

Hamming, R. W. (1950). Error detecting and error correcting codes. Bell System Technical Journal, 29(2), 147-160. https://doi.org/10.1002/j.1538-7305.1950.tb00463.x

HB 327. (2010). Communicating and consulting about risk (4th ed.). Sydney, Australia: Standards Australia Limited.

He, Y., & He, Z. (2015). Extensions of Atanassov’s intuitionistic fuzzy interaction Bonferroni means and their application to multiple attribute decision making. IEEE Transactions on Fuzzy Systems, PP(99), 1. https://doi.org/10.1109/TFUZZ.2014.2372074

Herrera, F., & Herrera-Viedma, E. (2000). Linguistic decision analysis: Steps for solving decision problems under linguistic information. Fuzzy Sets and Systems, 115(1), 67-82. https://doi.org/10.1016/S0165-0114(99)00024-X

Herrera, F., Herrera-Viedma, E., & Verdegay, J. L. (1996). Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets and Systems, 79(2), 175-190. https://doi.org/10.1016/0165-0114(95)00162-X

Herrera, F., & Martinez, L. (2000). A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems, 8(6), 746-752. https://doi.org/10.1109/91.890332

Hillson, D. A. (1997). Towards a risk maturity model. The International Journal of Project and Business Risk Management, 1, 35-45.

ICONTEC. (2009). Gestión del riesgo. Principios y directrices. Colombia.

IRM, & Protiviti. (2012). Risk culture under the microscope guidance for boards. Lóndres, Inglaterra.

ISO. (2009a). Risk management: Principles and guidelines. Suiza: International Organization for Standardization.

ISO. (2009b). Risk management: Vocabulary (Pub. L. No. 73, 15). Suiza: International Organization for Standardization.

Jiang, X. P., & Wei, G. W. (2014). Some Bonferroni mean operators with 2-tuple linguistic information and their application to multiple attribute decision making. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 27(5), 2153-2162.

Kaufmann, A., & Gil Aluja, J. (1987). Técnicas operativas de gestión para el tratamiento de la incertidumbre. Barcelona: Hispano Europea.

Kaufmann, A., & Gil Aluja, J. (1986). Introducción de la teoría de los suconjuntos borrosos a la gestión de las empresas (2nd ed.). Santiago de Compostela: Milladoiro.

Kochenderfer, M. J. (2015). Decision making under uncertainty: Theory and application. Cambrige, MA.: MIT Lincoln Laboratory Series.

Kopia, J., Just, V., Geldmacher, W., & Bubian, A. (2017). Organization performance and enterprise risk management. Ecoforum, 6(1(10)).

Li, D., Zeng, W., & Li, J. (2016). Geometric Bonferroni mean operators. International Journal of Intelligent Systems, 31(12), 1181–1197. https://doi.org/10.1002/int.21822

Liu, H. C., Mao, L.-X., Zhang, Z.-Y., & Li, P. (2013). Induced aggregation operators in the VIKOR method and its application in material selection. Applied Mathematical Modelling, 37(9), 6325-6338. https://doi.org/10.1016/j.apm.2013.01.026

Liu, P., Rong, L., Chu, Y., & Li, Y. (2014). Intuitionistic linguistic weighted Bonferroni mean operator and its application to multiple attribute decision making. The Scientific World Journal, 1-13. https://doi.org/10.1155/2014/545049

Marc, M., Sprcic, D. M., & Žagar, M. M. (2018). Is enterprise risk management a value added activity? E & M Ekonomie a Management, 21(1), 68-84. https://doi.org/10.15240/tul/001/2018-1-005

Mejía, R. C. (2013). Identificación de riesgos empresariales. Medellin, Colombia: Editorial EAFIT, Udual, Alafec.

Mejía, R. C. (2017). Introducción. In R. C. Mejía, M. A. Núñez, & I. Martinz (Eds.), Administración de riesgos empresariales (primera, pp. 15-28). Medellin, Colombia: Editorial EAFIT, Udual, Alafec.

Mejía, R. C., Núñez, M. A., & Martinz, I. (Eds.). (2017). Administración de riesgos empresariales. Medellin, Colombia: Editorial EAFIT, Udual, Alafec.

Merigó, J. M. (2010). Fuzzy decision making with immediate probabilities. Computers and Industrial Engineering, 58(4), 651-657. https://doi.org/10.1016/j.cie.2010.01.007

Merigó, J. M. (2014). La media ponderada ordenada probabilística: Teoría y aplicaciones (Collecció Reial académia de doctors). Barcelona España: Fundación Universitaria ESERP.

Merigó, J. M., & Casanovas, M. (2011). Decision-making with distance measures and induced aggregation operators. Computers & Industrial Engineering, 60(1), 66-76. https://doi.org/10.1016/j.cie.2010.09.017

Merigó, J. M., & Gil-Lafuente, A. M. (2008). On the use of the OWA operator in the Euclidean distance. International Journal of Computer Science and Engineering, 2(4), 170-176.

Merigó, J. M., & Gil-Lafuente, A. M. (2009). The induced generalized OWA operator. Information Sciences, 179(6), 729-741. https://doi.org/10.1016/j.ins.2008.11.013

Merigó, J. M., & Gil-Lafuente, A. M. (2012). Decision making techniques with similarity measures and OWA operators. SORT – Statistics and Operations Research Transactions, 36(1), 81-102.

Merigó, J. M., Palacios-Marqués, D., & Soto-Acosta, P. (2017). Distance measures, weighted averages, OWA operators and Bonferroni means. Applied Soft Computing, 50, 356-366. https://doi.org/10.1016/j.asoc.2016.11.024

Merigó, J. M., & Wei, G. (2011). Probabilistic aggregation operators and their application in uncertain multi-person decision-making. Technological and Economic Development of Economy, 17(2), 335-351. https://doi.org/10.3846/20294913.2011.584961

Merigó, J. M., & Yager, R. R. (2013). Generalized moving average, distance measures and OWA operators. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21(04), 533-559. https://doi.org/10.1142/S0218488513500268

Modave, F., Ceberio, M., & Kreinovich, V. (2008). Choquet integrals and OWA criteria as a natural (and optimal) next step after linear aggregation: A new general justification (pp. 741-753). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-88636-5_70

OECD. (2014). Risk management and corporate governance. OECD Publishing.

Quon, T. K., Zeghal, D., & Maingot, M. (2012). Enterprise risk management and firm performance. Procedia - Social and Behavioral Sciences, 62, 263-267. https://doi.org/10.1016/j.sbspro.2012.09.042

RIMS. (2006). RIMS Risk maturity model (RMM) for enterprise risk management preface and history. Risk and Insurance Management Society, Inc.

Scarlat, E., Chirita, N., & Bradea, I.A. (2012). Indicators and metrics used in the enterprise risk management (ERM). Economic Computation and Economic Cybernetics Studies and Research, 46, 5-18.

Thomas, R., Berry, S., & Jianren, X. (2018). Enterprise risk management and the cost of capital. The Journal of Risk and Insurance, 85(1), 159-201. https://doi.org/10.1111/jori.12152

Wang, C., Li, Q., Zhou, X., & Yang, T. (2014). Hesitant triangular fuzzy information aggregation operators based on Bonferroni means and their application to multiple attribute decision making. The Scientific World Journal, 1-15. https://doi.org/10.1155/2014/648516

Wei, G., Zhao, X., Lin, R., & Wang, H. (2013). Uncertain linguistic Bonferroni mean operators and their application to multiple attribute decision making. Applied Mathematical Modelling, 37(7), 5277-5285. https://doi.org/10.1016/j.apm.2012.10.048

Wu, D., Olson, D. L., & Dolgui, A. (2015). Decision making in enterprise risk management: A review and introduction to special issue. Omega, 57, 1-4. https://doi.org/10.1016/j.omega.2015.04.011

Xia, M., Xu, Z., & Zhu, B. (2013). Geometric Bonferroni means with their application in multi-criteria decision making. Knowledge-Based Systems, 40, 88-100. https://doi.org/10.1016/j.knosys.2012.11.013

Xu, Z. (2012). Uncertain Bonferroni mean operators. International Journal of Computational Intelligence Systems, 3(6), 761-769. https://doi.org/10.1080/18756891.2010.9727739

Xu, Z. S., & Da, Q. L. (2002). The uncertain OWA operator. International Journal of Intelligent Systems, 17(6), 569-575. https://doi.org/10.1002/int.10038

Xu, Z., & Yager, R. R. (2011). Intuitionistic fuzzy Bonferroni means. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: A Publication of the IEEE Systems, Man, and Cybernetics Society, 41(2), 568-578. https://doi.org/10.1109/TSMCB.2010.2072918

Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision-making. IEEE Transactions on Systems, Man, and Cybernetics, 18(1), 183-190. https://doi.org/10.1109/21.87068

Yager, R. R. (1993). Families of OWA operators. Fuzzy Sets and Systems, 59(2), 125-148. https://doi.org/10.1016/0165-0114(93)90194-M

Yager, R. R. (2002). Heavy OWA operators. Fuzzy Optimization and Decision Making, 1(4), 379-397. https://doi.org/10.1023/A:1020959313432

Yager, R. R. (2003a). E-Z OWA weights. In 10th IFSA World Congress (pp. 39-42). Istambul.

Yager, R. R. (2003b). Induced aggregation operators. Fuzzy Sets and Systems, 137(1), 59-69. https://doi.org/10.1016/S0165-0114(02)00432-3

Yager, R. R. (2008). Time series smoothing and OWA aggregation. IEEE Transactions on Fuzzy Systems, 16(4), 994-1007. https://doi.org/10.1109/TFUZZ.2008.917299

Yager, R. R. (2009). On generalized Bonferroni mean operators for multi-criteria aggregation. International Journal of Approximate Reasoning, 50(8), 1279-1286. https://doi.org/10.1016/j.ijar.2009.06.004

Yager, R. R. (2014). Pythagorean membership grades in multicriteria decision making. IEEE Transactions on Fuzzy Systems, 22(4), 958-965. https://doi.org/10.1109/TFUZZ.2013.2278989

Yager, R. R., & Filev, D. P. (1999). Induced ordered weighted averaging operators. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: A Publication of the IEEE Systems, Man, and Cybernetics Society, 29(2), 141-150. https://doi.org/10.1109/3477.752789

Yager, R. R., Kacprzyk, J., & Beliakov, G. (2011). Recent developments in the ordered weighted averaging operators: Theory and practice. Studies in Fuzziness and Soft Computing (Vol. 265). Berlin, Heidelberg: Springer Science & Business Media. https://doi.org/10.1007/978-3-642-17910-5

Yu, D., Wu, Y., & Zhou, W. (2012). Generalized hesitant fuzzy Bonferroni mean and its application in multi-criteria group decision making. Journal of Information & Computational Science, 9(2), 267-274.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

Zadeh, L. A. (1975a). The concept of a linguistic variable and its application to approximate reasoning I. Information Sciences, 8, 199-249. https://doi.org/10.1016/0020-0255(75)90036-5

Zadeh, L. A. (1975b). The concept of a linguistic variable and its application to approximate reasoning II. Information Sciences, 8(4), 301-357. https://doi.org/10.1016/0020-0255(75)90046-8

Zadeh, L. A. (1975c). The concept of a linguistic variable and its application to approximate reasoning III. Information Sciences, 9(1), 43-80. https://doi.org/10.1016/0020-0255(75)90017-1

Zeng, S., Su, W., & Zhang, C. (2016). Intuitionistic fuzzy generalized probabilistic ordered weighted averaging operator and its application to group decision making. Technological and Economic Development of Economy, 22(2), 177-193. https://doi.org/10.3846/20294913.2014.984253

Zhu, B., & Xu, Z. S. (2013). Hesitant fuzzy Bonferroni means for multi-criteria decision making. Journal of the Operational Research Society, 64(12), 1831-1840. https://doi.org/10.1057/jors.2013.7

Zhu, B., Xu, Z., & Xia, M. (2012). Hesitant fuzzy geometric Bonferroni means. Information Sciences, 205, 72-85. https://doi.org/10.1016/j.ins.2012.01.048