Ir al contenido

Documat

Dimensiones importantes en la gestión de la informatización: integración e inteligencia

  • Autores: Alejandro Rosete Suárez Árbol académico, Mailyn Moreno Espino Árbol académico, Eduardo Sánchez Ansola, Cynthia Porras Nodarse
  • Localización: Revista Cubana de Administración Pública y Empresarial, ISSN-e 2664-0856, Vol. 4, Nº. 2, 2020, págs. 189-205
  • Idioma: español
  • Títulos paralelos:
    • Important dimensions in informatization management: integration and intelligence
  • Enlaces
  • Resumen
    • español

      En el momento actual, la informatización de la gestión pública y empresarial es una necesidad y Cuba lo ha asumido así. La gestión de este proceso avanza de lo simple a lo complejo, empezando por la habilitación de infraestructuras e informaciones, para luego ir a la gestión digital de procesos, el comercio electrónico y la automatización. El objetivo de este artículo es demostrar la conveniencia de mantener el foco en dos dimensiones importantes en la gestión de la informatización: la integración (de datos que hoy se gestionan de manera aislada) y el uso de la inteligencia computacional. Para ello, se estudian teóricamente dos casos vinculados al posible diseño de servicios (diseño de red de transporte y atención a afectaciones). En ellos se argumenta, partiendo de supuestos comprobables, que una informatización integrada e inteligente puede provocar mejoras en el servicio final que se puede ofertar.

    • English

      Nowadays, the informatization of public and business management is a necessity that Cuba has assumed. The informatization management follows a simple-to-complex approach, first focusing on infrastructure and information availability to then allowing digital business, electronic commerce and automation. The goal of this paper is to show the convenience of keeping attention on two important dimensions in the informatization: integration (of data that is currently managed in isolation) and the use of computational intelligence. Thus, we study two cases related to the possible design of services (transportation network design, and victim attention). The argument, based on probable assumptions, demonstrates how these services may be improved base on an integrated and intelligent informatization.

  • Referencias bibliográficas
    • Arboleda LM. Servicios WEB: Distribución e integración. Sistemas y Telemática. S&T. 2006; 2 (4): 107-120. [consultado 11 julio 2019] Disponible...
    • Russell SJ, Norvig P. Artificial Intelligence: A Modern Approach. 3rd ed. New Jersey: Prentice Hall; 2010. [consultado 11 Febrero 2020] Disponible...
    • Ertel W. Introduction to Artificial Intelligence. 2nd ed. Springer International Publishing AG; 2017. [consultado 11 Mayo 2020] Disponible...
    • Skiena SS. The Data Science Design Manual. Springer; 2017. [consultado 13 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-55444-0
    • Hillier FS, Lieberman GJ. Introduction to Operations Research. Ninth ed. New York: McGraw- Hill; 2010. [consultado 11 Febrero 2020] Disponible...
    • Talbi EG. Metaheuristics: from design to implementation. New Jersey: John Wiley & Sons; 2009. [consultado 11 julio 2019] Disponible en:...
    • Wooldridge M. An Introduction to MultiAgent Systems, 2nd ed. United Kingdom: John Wiley & Sons; 2009. [consultado 11 Febrero 2020] Disponible...
    • Murray AT, Xu J, Wang Z, Chruch RL. Commercial GIS location analytics: capabilities and performance. International Journal of Geographical...
    • Bramer M. Principles of Data Mining. 3rd ed. London: Springer-Verlag; 2016. [consultado 14 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-1-4471-7307-...
    • Igual L, Seguí S. Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications. Switzerland: Springer International...
    • Bonamente M. Statistics and Analysis of Scientific Data, 2nd ed. New York: Springer Science+Busines Media; 2017. [consultado 12 Mayo 2020]...
    • Kubat M. An Introduction to Machine Learning. 2nd ed. Springer International Publishing AG; 2017. [consultado 11 Mayo 2020] Disponible en:...
    • Rayes A, Salam S. Internet of Things From Hype to Reality: The Road to Digitization. 2nd ed. Switzerland: Springer Nature AG; 2019. [consultado...
    • Gilchrist A. Industry 4.0: The Industrial Internet Of Things. Apress; 2016. [consultado 13 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-1-4842-2047-4
    • Ivanov D, Tsipoulanidis A, Schönberger J. Global Supply Chain and Operations Management: A Decision-Oriented Introduction to the Creation...
    • Turban E, Outland J, King D, Lee JK, Liang TP, Turban DC. Electronic Commerce: A Managerial and Social Networks Perspective. 9th ed. Springer...
    • Tsai CW, Lai CF, Chao HC, Vasilakos AV. Big data analytics: a survey. Journal of Big Data 2015;
    • (21): 1-32. [consultado 16 Mayo 2020] Disponible en: http://link.springer.com/article/10.1186/s40537-015-0030-3
    • Pochiraju B, Seshadri S. Essentials of Business Analytics: An Introduction to the Methodology and its Applications. International Series in...
    • Van der Aalst W. Process Mining: Data Science in Action. 2nd ed. Berlin Heidelberg: Springer- Verlag; 2016. [consultado 15 Mayo 2020] Disponible...
    • Ebrahimnejad A, Verdegay JL. Fuzzy Sets-Based Methods and Techniques for Modern Analytics. Studies in Fuzziness and Soft Computing. Vol 364....
    • Yang XS, Gandomi AH, Talatahari S, Alavi AH. Metaheuristics in Water, Geotechnical and Transport Engineering. Elsevier; 2012. [consultado...
    • Dignum F, Pavón J. Multi-Agent Systems applications in transport: Preface Special issue. Prog Artif Intell. 2012; 1:137-138. [consultado 11...
    • Olszewski R, Turek A. Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues...
    • Skansi S. Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence. Springer Nature; 2018. [consultado 12 Mayo 2020]...
    • Tanwar S, Tyagi S, Kumar N. Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions. Singapore: Springer Nature;...
    • Van den Berg P, Wenseleers T. Uncertainty about social interactions leads to the evolution of social heuristics. Nature Communications. 2018;...
    • Dima Kagan D, Chesney T, Fire M. Using data science to understand the film industry’s gender gap. Palgrave Communications. 2020; 6 (92): 1-16....
    • Magoulas R, Swoyer S. AI Adoption in the Enterprise 2020. Beijing: O´Reilly. 2020. [consultado 17 Mayo 2020] Disponible en: http://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp
    • Perrault R, Shoham Y, Brynjolfsson E, Clark J, Etchemendy J, Grosz B, et al.The AI Index 2019 Annual Report. AI Index Steering Committee....
    • Gómez CD, Díaz JK, Rodríguez JI. Big Data Meaning in the Architecture of IoT for Smart Cities. En: Tan Y, Shi Y, eds. Data Mining and Big...
    • Yin RK. Case Study Research: Design and Methods, Fourth ed. California: SAGE Publications; 2009. [consultado 18 Septiembre 2019] Disponible...
    • Levenberg L, Neilson T, Rheams D. Research Methods for the Digital Humanities. Palgrave Macmillan; 2018. [consultado 11 Mayo 2020] Disponible...
    • Runeson P, Host M, Rainer A, Regnell B. Case Study Research In Software Engineering: Guidelines and Examples. John Wiley & Sons; 2012....
    • Stüber GL. Principles of Mobile Communication. 4th ed. Springer International Publishing; 2017. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-...
    • Boer A, Van Engers T, Peters R, Winkels R. Separating law from Geography in GIS-based eGovernment services. Artificial Intelligence and Law....
    • Kalyvas JR, Overly MR. Big Data: A Business and Legal Guide. Taylor & Francis Group; 2015. [consultado 15 Mayo 2020] Disponible en: http://www.routledge.com/Big-Data-A-Business-and-...
    • Rahman H. Social and Political Implications of Data Mining: Knowledge Management in E- Government. IGI Global; 2009. [consultado 11 Mayo 2020]...
    • Goodchild MF. Citizens as sensors: the world of volunteered geography. Geojournal 2007; 69: 211-
    • [consultado 14 Mayo 2020] Disponible en: http://link.springer.com/article/10.1007/s10708- 007-9111-y
    • Bakillah M, Lauer J, Liang S, Zipf A, Arsanjani J, Mobasheri A, et al. Exploiting Big VGI to Improve Routing and Navigation Services. In:...
    • http://researchgate.net/publication/258340709_Exploiting_Big_VGI_to_Improve_Routing_and_Na vigation_Services
    • Lendel V, Pancikova L, Falat L. Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems. En: Tan Y, Shi Y,...
    • Pérez-Cañedo B, Concepción ER. A method to find the unique optimal fuzzy value of fully fuzzy linear programming problems with inequality...
    • Goldberg DW, Wilson JP, Knoblock C. A. From text to geographic coordinates: the current state of geocoding. URISA Journal. 2007; 19: 33-46....
    • Park J, Kim BI. “The school bus routing problem: A review”, European Journal of Operational Research. 2010; 202: 311-319. [consultado 7 Febrero...
    • Chao IM. A tabu search method for the truck and trailer routing problem, Computers & Operation Research. 2002; 29 (1): 33-51. [consultado...
    • Rosete A, Paredes D, Sánchez E: Reducción del costo de transportación en las Series Nacionales de Béisbol empleando metaheurísticas, Revista...
    • Bansal M, Kianfar K. Planar maximum coverage location problem with partial coverage and rectangular demand and service zones, INFORMS Journal...
    • Church R, ReVelle C. The maximal covering location problem, Papers of the Regional Science Association. 1974; 32 (1): 101-118. [consultado...
    • Miller HJ, Han JW. Geographic Data Mining and Knowledge Discovery. 2nd ed. Taylor & Francis Group LLC; 2009. [consultado 15 Mayo 2020]...
Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno