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  • Системы поддержки принятия решений при оценке эффективности инвестиционных проектов в телекоммуникационной сфере

Article

Системы поддержки принятия решений при оценке эффективности инвестиционных проектов в телекоммуникационной сфере

Прикладная информатика. 2014. № 5 (53). С. 119-134.

The article deals with one of the types of advertising campaigns, namely, — ICB-broadcast (Interactive Cell Broadcast, or «advertising sleeping screens») to convey to the subscribers of any information. Content services in the telecommunications environment is a rather young field of service, require thorough justification for funding of such projects. Existing approaches for comparative evaluation of efficiency of investment projects in practice is not always applicable due to the uncertainty of the input data, the external environment of the project requirements. In this paper we propose a new approach based on the methods of the theory of decision making. As tools for the analytical justification of the alternatives are used Decision support systems (DSS). In the process of scientific research are identified, collected and structured data for later analysis of advertising campaigns. For optimal storage of information after the broadcast are modified database «portal subscriptions». To identify dependencies between cost, time and theme of promotion of the services and forecasting profit from advertising companies are performed statistical data analysis. Variants of investment projects were designed aimed at increasing the profits from advertising campaigns (ICB-broadcasting): «Development of services with low interest»; «Supporting Organization popular services»; «The development of media services»; «Conducting targeted advertising, targeted at different groups of users.» Using publicly available DSS Expert Choice 11.5 and Expert decision support systems (EDSS), developed under the guidance of the author, was selected the most effective and least risky project «Supporting Organization popular services.» That this project has the minimum cost, minimum risk of failure of the timing of the project management and profit that is closest predicted.