Advisory, Negotiation and Intelligent Decision Support System for Leadership Analysis
Keywords:
Leader, Model, Intelligent Systems, IntegrationAbstract
The development of the Leader Model for quantitative and qualitative analyses began with the goal of integrating managerial, organizational, technical, technological, economic, legal/regulatory, innovative, social, cultural, ethical, psychological, religious, ethnic and other aspects involved in the process of a leaders life cycle. The need to determine the most efficient life cycle of a leader led to the development of the Advisory, Negotiation and Intelligent DEcision support System for Leadership Analysis (ANDES). The objective of the authors of this work for integrating text analytics, advisory, negotiation and decision support systems is to improve the quality and efficiency of intelligent decision-making regarding a leaders life cycle. This ANDES consists of an intelligent database, database management system, model-base, model-base management system and user interface.References
M. Uhl-Bien, R. Marion (2009); Complexity leadership in bureaucratic forms of organizing: A meso model, The Leadership Quarterly, 20(4): 631-650. http://dx.doi.org/10.1016/j.leaqua.2009.04.007
C.M. Youssef, F. Luthans (2012); Positive global leadership, Journal of World Business, 47(4): 539-547. http://dx.doi.org/10.1016/j.jwb.2012.01.007
J. Cho, I. Park, J.W. Michel (2011); How does leadership affect information systems success? The role of transformational leadership, Information & Management, 48(7): 270-277. http://dx.doi.org/10.1016/j.im.2011.07.003
N.K. Dimitrios, D.P. Sakas, D.S. Vlachos (2013); The Role of Information Systems in Creating Strategic Leadership Model, Procedia - Social and Behavioral Sciences, 73: 285-293. http://dx.doi.org/10.1016/j.sbspro.2013.02.054
M. Rao, R. Dong, V. Mahalec (1994); Intelligent system for safe process startup, Engineering Applications of Artificial Intelligence, 7(4): 349-360. http://dx.doi.org/10.1016/0952-1976(94)90001-9
M. Seah, M.H. Hsieh, P.-D.Weng (2010); A case analysis of Savecom: The role of indigenous leadership in implementing a business intelligence system, International Journal of Information Management, 30(4): 368-373. http://dx.doi.org/10.1016/j.ijinfomgt.2010.04.002
Y.W. Chun, K. Tak (2009); Songgye, a traditional knowledge system for sustainable forest management in Choson Dynasty of Korea, Forest Ecology and Management, 257(10): 2022- 2026. http://dx.doi.org/10.1016/j.foreco.2008.11.038
B. Mckenna, D. Rooney, K.B. Boal (2009); Wisdom principles as a meta-theoretical basis for evaluating leadership, The Leadership Quarterly, 20(2): 177-190. http://dx.doi.org/10.1016/j.leaqua.2009.01.013
F. Lehner (1992); Expert systems for organizational and managerial tasks, Information & Management, 23(1): 31-41. http://dx.doi.org/10.1016/0378-7206(92)90052-H
M. A. de Oliveira, O. Possamai, D. Valentina, L. V. O., C.A. Flesch (2012); Applying Bayesian networks to performance forecast of innovation projects: A case study of transformational leadership influence in organizations oriented by projects, Expert Systems with Applications, 39(5): 5061-5070. http://dx.doi.org/10.1016/j.eswa.2011.11.033
F. G. Filip (2008); Decision support and control for large-scale complex systems, Annual Reviews in Control, 32(1): 61-70. http://dx.doi.org/10.1016/j.arcontrol.2008.03.002
F.G. Filip, A. Dan Donciulescu, G. Neagu (1998); Decision support for blend monitoring in process industries, Computers in Industry, 36(1-2): 13-19.
F. G. Filip, A.M. Suduc & M. Bizoi (2014); DSS in numbers, Technological and Economic Development of Economy, 20(1): 154-164. http://dx.doi.org/10.3846/20294913.2014.890139
F.G. Filip, K. Leiviska (2009); Large-Scale Complex Systems, Springer Handbook of Automation, 619-638.
L.-H. Lim, K.S. Raman, K.-K. Wei (1994); Interacting effects of GDSS and leadership, Decision Support Systems, 12(3): 199-211. http://dx.doi.org/10.1016/0167-9236(94)90004-3
J. Rees, G.J. Koehler (2000); Leadership and group search in group decision support systems, Decision Support Systems, 30(1): 73-82. http://dx.doi.org/10.1016/S0167-9236(00)00090-7
A. Dan Donciulescu, F. G. Filip (1985); DISPECER-H - A decision supporting system in water resources dispatching, Annual Review in Automatic Programming, 12(2): 263-266.
A. Kaklauskas (2015); Biometric and Intelligent Decision Making Support, Series: Intelligent Systems Reference Library, Vol. 81, XII. Springer-Verlag, Berlin.
A. Kaklauskas (1999); Multiple Criteria Decision Support of Building Life Cycle, Research Report presented for Habilitation. Technika, Vilnius.
L. Kanapeckiene, A. Kaklauskas, E.K. Zavadskas, M. Seniut (2010); Integrated knowledge management model and system for construction projects. Engineering applications of artificial intelligence, 23(7): 1200-1215. http://dx.doi.org/10.1016/j.engappai.2010.01.030
N. Lepkova, A. Kaklauskas, E.K. Zavadskas (2008); Modelling of facilities management alternatives, International journal of environment and pollution, 35(2-4): 185-204.
http://iti.vgtu.lt/imitacijosmain/simpletable.aspx?sistemid=518
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.