Published
Implementing a decision support system (DSS) in e-business
Aplicación de los sistemas de soporte a la decisión (DSS) en el comercio electrónico
DOI:
https://doi.org/10.15446/ing.investig.v29n2.15168Keywords:
decision support system (DSS), e-business (en)DSS, comercio electrónico, sistemas de soporte a la decisión (es)
Downloads
Decision support systems (DSS) and e-business (EB) have emerged as separate areas. However, currently, and for some years now, DSS and EB have become merged to provide customers with greater benefits and added value. There are different types of DSS and different categories and business models for EB; one area's applicability to the other thus expands the possible combinations which can arise from such different categories. Some representative examples would include auction sites which, through applying intelligent agents, can learn about which products to offer or when and where to sell them; DSS allow a company's information avilable in web portals for customers and employees to be accessed in a controlled way and decisions thus made; virtual stores may be positively affected by data mining and data warehousing being applied; complex algorithms could be used in customer relationship management for predicting and analysing "what would happen if" to identify revenue opportunities in competitive markets; and a wide range of other applications where imagination is the limit. Research into DSS / BE must be ongoing due to the constant emergence of new business models and DSS subsystems. Applications can be varied and provide bi-directional support for each one. New interaction mechanisms and efforts to satisfy customers are also the focus of inspiration for new applications for DSS systems in EB.
Los sistemas de soporte a la decisión (DSS) y el comercio electrónico (CE) han surgido como áreas individuales. Sin embargo, actualmente, y desde hace unos años, los DSS y el CE se han fusionado para traer mayores ventajas y valor agregado a los clientes. Es sabido que existen diversos tipos de DSS y de categorías y modelos de negocio de CE. Por tal razón, la aplicabilidad de una área sobre la otra se expande a las posibles combinaciones que se puedan realizar entre esta diversidad de categorías. Algunos ejemplos representativos están relacionados con, por ejemplo, los sitios de subastas que a través de la aplicación de agentes inteligentes se pueda saber sobre cuál producto ofertar o cuándo y dónde vender; los portales web para clientes y empleados, los DSS permiten controlar la información de la empresa a la que pueden acceder y de esta forma tomar decisiones; las tiendas virtuales se pueden afectar positivamente con la aplicación de data mining y data warehouse; en los sistemas de servicio al cliente se podrían usar complejos algoritmos de predicción y análisis "qué sucedería si" para identificar oportunidades de ingresos en mercados competitivos; y un sinnúmero más de aplicaciones, en donde el límite es la imaginación. Se requiere que las investigaciones en DSS/CE sean continuas debido al constante surgimiento de nuevos modelos de negocio y de subsistemas DSS. Para cada uno, las aplicaciones pueden ser variadas y aportar de forma bidireccional. Los nuevos mecanismos de interacción y los esfuerzos por satisfacer al cliente son también el centro de inspiración para nuevas aplicaciones de sistemas DSS en el comercio electrónico.
References
Araujo Arnott, D., Pervan G., A Critical Analysis of Decision Support Systems Research., Journal of Information Technology, 20, 2005, pp. 67–87.
Bloch, M., Pigneur, Y., Segev, A., On the Road of Electronic Commerce: A Business Value Framework, Gaining Competitive Advantage and Some Research Issues., Business Week, Jan. 29, 1998.
Chen, H., Web Retrieval and Mining"., Decision Support Systems. Special Issue, 2003.
Cohen, M., Decision Support with Web-Enable Software., Interfaces, 2001.
Cristóbal, E., Conceptualización de la Calidad del Servicio al Cliente Percibida en el comercio Electrónico. Evaluación y Aplicación en el Establecimiento Virtual., Tesis doctoral. Universidad de Lleida. Facultad de Derecho y Economía. Departamento de Administración de Empresas y Gestión Económica de los Recursos Naturales, 2003.
Dawn, G., Walczak, S., Auction Advisor: an agent-based online-auction decision support system., University of Colorado Denver, The Business School, 2003.
Eom, S., Kim, E., A survey of Decision Support System Applications (1995-2001)., The Journal of the Operational Research Society. Oxford, Vol. 57, No. 11, 2006, pp. 1264.
Fazlollahi, R., A Multi-Agent DSS for Supporting E-Commerce Decisions., The Journal Of Computer Information Systems. Date: Thursday, Subject: Decision support systems, Consumer behavior, January, 2004.
Kalokota, R, Whinston, A. B., Electronic Commerce. A manager's guide., Addison-Wesley, Reading, MA., 1997.
Kanungo, S., Sharma, S., Jain, P. K., Evaluation of a Decision Support System for Credit Management Decisions., Department of Management Studies, Indian Institute of Technology, Delhi Hauz Khas, New Delhi 110016, India, 2000.
Keen, P. G. W., Scott Morton, M. S., Decision Support Systems: An organizational Perspective., Reading, MA: Addison-Wesley, 1978.
Klaas, R. L, A DSS for Airline Management., Director, Industry Analysis, American Airlines, Inc., 1977.
Lummus, R. R., Vokura, R. J., Making the Right E-Fullfillment Decision., Production and Inventory Management Journal, 2002.
Ramos, L. A., Sistemas Inteligentes de Soporte a la Decisión en PYMES., Instituto Tecnológico y de Estudios Superiores de Monterrey, Universidad Virtual, México, 02 de marzo, 2006.
Sandholm, T. W., Distributed Rational Decision-Making, Multiagent Systems: a modern approach to distributed artificial intelligence., G. Weiss (ed.), MIT Press, Cambridge, MA, 1999.
Schneider, G. P., Electronic Commerce: The Second Wave., 5° Edición, Editorial Thomson, 2004.
Shaw, M. J., Information-Based Manufacturing: Tecnology, Strategy and Industrial Applications., University of Illinois at Urbana-Champaing. Kluwer Academic Publishers, 2001.
Smith, M., Business Critical Prism: A Strategic Assessment Guide for BI Products., Intelligence Enterprise, 2001.
Stair, R. M., Reynolds G. W., Principios de Sistemas de Información: Enfoque Administrativo., 2000, pp.449-452.
Turban, E., Aronson, J., Liang, T. P., Decision Support Systems and Intelligent Systems., 7° Edición, Editorial Prentice Hall, pp. 936, 2005.
Tyrone W. J., CRM: From 'art to science.' Database Marketing & Customer Strategy Management., Vol. 13, 1, 2005, pp. 76–92.
Verhoef, P.C., The Commercial Use of Segmentation and Predictive Modeling Techniques for Database Marketing in the Netherlands., Decision Support Systems, 2003.
Wesley, S., Leeb, Ch-F., Hsub, Y-J., On-Line Personalized Sales Promotion in Electronic Commerce., Institute of Electronic Commerce, National Chung-Hsing University, 2003.
Wierenga, B., Van Bruggen, G.H., Customized Decision Support Systems for Brand Mangers., Interfaces, 2001.
Dimensions
PlumX
Article abstract page views
Downloads
How to Cite
License
Copyright (c) 2009 Alexandra Ruiz G., Leonardo A. Hernández R, William J. Giraldo O.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:
1. The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;
2. The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;
3. The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;
4. The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.
