Time Allocation to Management Activities of Retail Msmes Through an Intelligent System
Keywords:
Evolutionary algorithms, time management, uncertainty managementAbstract
Effectively handling a manager’s time is critical for organizational success. This paper describes a methodology that uses cutting-edge decision support to offer flexible recommendations grounded in the unique context of Ciudad Juárez, México. The methodology incorporates manager preferences, determining the value of activities through the theory of value functions and performs an optimization based on differential evolution. This methodology ensures practical applicability, handling multiple activities, group decisions, and uncertainties prevalent in the dynamic business landscape. Validating the approach, a real case study involving Ciudad Juárez managers provides contextual evidence. The proposed system’s performance is evaluated based on the satisfaction levels of participating managers. This research contributes to decision and social sciences by introducing a system designed for handling managerial times in a culturally specific environment. The study emphasizes the adaptability of the system to diverse managerial activities, making it a valuable tool for decision-makers.
Downloads
References
C. E. INEGI, “Censos económicos 2019. Resultados definitivos.” Instituto Nacional de Estad’istica y Geograf’ia México, 2019.
M. Martin, “Aproximación a un modelo de buena gestión en las pequeñas empresas,” 2015.
J. Zentes, D. Morschett, and H. Schramm-Klein, Strategic retail management. Springer, 2007.
INEGI, “Censos Económicos 2019,” https://www.inegi.org.mx/programas/ce/2019/.
“Esperanza de vida de los negocios a nivel nacional y por entidad federativa.” 2016.
D. Alguera Santiago, “Directorio Estad’istico de Unidades Económicas (DENUE),” 2022.
S. Dutta, B. Lanvin, L. Rivera León, and S. Wunsch-Vincent, “Global innovation index 2023: Innovation in the face of uncertainty,” Global innovation index. 2023. [Online]. Available: https://www.wipo.int/edocs/pubdocs/en/wipo-pub-2000-2023-en-main-report-global-innovation-index-2023-16th-edition.pdf
B. E. Mexico and others, “Towards an AI Strategy in Mexico (2018),” 2018.
J. S. García, Fundamentos de marketing digital. Comunicación Social Ediciones y Publicaciones, 2016.
J. Villarón Vázquez, D. Pineda Dom’inguez, and M. A. Andrade Vallejo, “Modelo que relaciona el capital intelectual y la innovación tecnológica en empresas de manufactura mexicanas,” Investigación administrativa, vol. 41, no. 110, pp. 18–33, 2012.
F. A. Haro Carrillo, N. C. Cordova Rosas, and M. A. Alvarado Garrces, “Importancia de la innovación y su ejecución en la estrategia empresarial. Innova Research Journal, 2 (5), 88–105.” 2017.
J. E. Maldonado-Pinto and L. F. Portilla-Barco, “Procesos de innovación en la industria manufacturera colombiana (Innovation Processes in the Colombian Manufacturing Industry),” Revista CEA, vol. 6, no. 11, 2020.
E. Solares, L. Guerrero, A. Aguilera, J. M. Hernández, S. Rodr’iguez, and V. De-León-Gómez, “An Intelligent System for Allocating Times to the Main Activities of Managers,” Axioms, vol. 10, no. 2, p. 104, 2021.
S.-H. Wei and S.-M. Chen, “Fuzzy risk analysis based on interval-valued fuzzy numbers,” Expert Syst Appl, vol. 36, no. 2, pp. 2285–2299, 2009.
N. I. Jaini and S. V Utyuzhnikov, “A fuzzy trade-off ranking method for multi-criteria decision-making,” Axioms, vol. 7, no. 1, p. 1, 2017.
J. R. , L. S. Y. , X. W. T. Shi, “A new solution for interval number linear programming,” Systems Engineering - Theory & Practice, vol. 2, pp. 101–106, 2005.
P. Bhattacharjee, V. Dey, and U. K. Mandal, “Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model,” Saf Sci, vol. 132, p. 104967, 2020.
E. Solares, C. A. C. Coello, E. Fernandez, and J. Navarro, “Handling uncertainty through confidence intervals in portfolio optimization,” Swarm Evol Comput, vol. 44, pp. 774–787, 2019.
N. Rescher, “Introduction to value theory,” 1969.
J. S. Eccles and A. Wigfield, “From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation,” Contemp Educ Psychol, vol. 61, p. 101859, 2020.
S. French, Decision theory: an introduction to the mathematics of rationality. Halsted Press, 1986.
T. Sunaga, “Theory of an interval algebra and its application to numerical analysis,” RAAG memoirs, vol. 2, pp. 29–46, 1958.
R. E. Moore, “Automatic Error Analysis in Digital Computing,” 1962.
T. Reilly, Making hard decisions with DecisionTools. Duxbury Thomson Learning, 2001.
G. E. Dieter and L. C. Schmidt, “Engineering Design, Fourth Editions.” McGraw-Hill, 2009.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
