Diseño de un modelo de análisis de comportamiento estratégico en la economía digital

  1. Martin Valmayor, Miguel Angel
Revista:
Revista Internacional Jurídica y Empresarial: RIJE

ISSN: 2531-0054

Ano de publicación: 2019

Título do exemplar: Sociedad digital

Número: 2

Páxinas: 129-138

Tipo: Artigo

DOI: 10.32466/EUFV-R.I.J.E.2019.2.524.129-138 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Revista Internacional Jurídica y Empresarial: RIJE

Resumo

The purpose of this study is to advance in the analysis of business decisions and the assessment of their behavior, comparing the coherence of the «a posteriori» results obtained from the «a priori» strategies proposed. For this, a multicriteria analysis technique for predicting the behavior in the agriculture industry will be extended to this business environment. This problem will be mathematically modeled under a long-term sustainability structure with five different corporate objectives (growth, solvency, value creation, dividend and operational efficiency). This approach will be exemplified with a case study of a leading company in the digital sector and the results obtained over the last few years will be evaluated.

Referencias bibliográficas

  • [1] https://www.mcdmsociety.org/content/publications
  • [2] Koopmans, T.C. (1951). Analysis of Production as an Efficient Combination of Activities, John Wiley and Sons.
  • [3] Kuhn, H. W., Tucker, A. W. (1951). Nonlinear Programming in J. Neyman (ed.) (1951), Proceedings of the Second Berkeley simposium on Mathematical Statistical and Probability. University of California Press - Berkeley.
  • [4] Charnes, A., Cooper W.W. (1961). Management Models and Industrial Applications of Linear Programming, Ed. John Wiley and Sons.
  • [5] Benayoun R., Roy B. and Sussman B. (1966). ELECTRE: Une méthode pour guider le choix en presence de points de vue multiples. Note de travail 49, SEMA-METRA International, Direction Scientifique.
  • [6] Yu, P. L. (1973). Introduction to Domination Structures in Multicriteria Decision Problems in: Cochrane J.L., Zeleny, M. (editores), (1973). Multiple Criteria Decision Making, University of South Carolina Press: 249-261.
  • [7] Zeleny M. (1973). Compromise Programming in: Cochrane, J.L., Zeleny M. (editores) (1973). Compromise Programming in Multiple Criteria Decision Making. University of South Carolina Press: 262-301.
  • [8] Keeney R.L., Raiffa H. (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley and Sons.
  • [9] Zionts S., Wallenius J. (1983). An interactive multiple objective linear programming method for a class of underlying nonlinear utility functions. Management Science vol. 29: 519-529.
  • [10] Michalowsky W. (1981). The choice of final compromise solution, in: J.N. Morse (Ed.)., Multiple Criteria Linear Programming Problem, Organizations: Multiple Agents with Multiple Criteria. Springer-Verlag: 233–238.
  • [11] Bárdossy A., Bogárdi I. (1983). Network design for the spatial estimation of environmental variables. Applied Mathematics and Computation, vol. 12: 339–365.
  • [12] Hwang CL., Yoon K. (1981) Methods for Multiple Attribute Decision Making. In: Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 186. Springer, Berlin, Heidelberg.
  • [13] Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw Hill
  • [14] J.P. Brans, Ph. Vincke, B. Mareschal (1986). How to select and how to rank projects: The Promethee method. European Journal of Operational Research. vol. 24 (2): 228-238.
  • [15] André F.J., Romero, C. (2008). Computing compromise solutions: On the connections between compromise programming and composite programming. Applied Mathematics and Computation, vol. 195: 1–10.
  • [16] Bystrzanowska, M., & Tobiszewski, M. (2018). How can analysts use multicriteria decision analysis?. TrAC Trends in Analytical Chemistry.
  • [17] Kvanli A. H. (1980) Financial Planning Using Goal Programming, OMEGA, The International Journal of Management Sciences, vol. 8: 207-218
  • [18] Batson, R. G. (1989) Financial Planning Using Goal Programming. Long Range Planning, vol.22: 112-120.
  • [19] Goedhart M. H., Spronk J (1995). Financial planning with fractional goals. European Journal of Operational Research, vol. 82: 111-124.
  • [20] Maranas D., Androulakis I.P., Floudas C. A., Berger A. J., Mulvey J.M. (1997). Solving long-term financial planning problems via global optimization. Journal of Economic Dynamics and Control, vol. 21: 1405-1425.
  • [21] Tarrazo M., Gutierrez, L. (2000). Economic expectations, fuzzy sets and financial planning. European Journal of Operational Research, vol. 126: 89-105.
  • [22] Martín, M.A., Cuadrado, M.L., Romero, C (2011). Computing efficient financial strategies: An extended compromise programming approach. Applied Mathematics and Computation. doi:10.1016/j.amc.2011.02.10
  • [23] Martin M. A., Romero M. S., Romero L. (2017), Un modelo de Planificación Financiera Sostenible, a través de un proceso de optimización. Revista Internacional Jurídica y Empresarial vol. 1: 59-73
  • [24] Zopounidis C., Galariotis E., Doumpos M., Sarri S., Andriosopoulos K. (2015). Multiple criteria decision aiding for finance: An updated bibliographic survey. European Journal of Operational Research vol. 247: 339-348
  • [25] Sumpsi J.M., Amador F., Romero C. (1996). On farmers’ objectives: A multi-Criteria approach. European Journal of Operational Research vol. 96: 64-71.
  • [26] Base de datos Thompson Reuters Eikon (2018)
Fonte de datos: Dialnet