DocumentCode :
2058592
Title :
A Stochastic Model Using Self-Organization to Explore the ICT Industry Evolution
Author :
Avlonitis, Markos I. ; Pateli, Adamantia G. ; Morfis, Ioannis A.
Author_Institution :
Dept. of Inf., Ionian Univ., Corfu, Greece
fYear :
2009
fDate :
10-12 Sept. 2009
Firstpage :
80
Lastpage :
84
Abstract :
Motivated by the recent restructuring and convergence of the information technology (IT) and telecommunications (TELCO) industries and the business trend towards the formation of networks, this research focuses on examining the evolutionary dynamics of the convergent Information and Communication Technology (ICT) industry. The agent-based computational economics (ACE) and network economics (NE) theories provide the theoretical background for studying the collaborative behaviour of firms in this economy, while the self-organization approach, adopted by the physics discipline, guide the development of a stochastic model depicting the value interactions of firms in the ICT industry. The paper´s results, derived from the mathematical solution of this model, reveal the potential that the ICT industry will soon reach at a consolidation phase, featured by many firms or networks of firms of equivalent market power.
Keywords :
economics; information technology; stochastic processes; telecommunication industry; ICT industry evolution; Information and Communication Technology; agent-based computational economics theory; information technology; network economics theory; stochastic model; telecommunications industries; Business communication; Collaboration; Communication industry; Communications technology; Computer networks; Information technology; Physics computing; Power generation economics; Stochastic processes; Telecommunication computing; Agent-based Computational Economics (ACE); Network Economics (NE); Self-organization approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, 2009. PCI '09. 13th Panhellenic Conference on
Conference_Location :
Corfu
Print_ISBN :
978-0-7695-3788-7
Type :
conf
DOI :
10.1109/PCI.2009.37
Filename :
5298844
Link To Document :
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