Abstract
Time-evolution and hence, forecasting the growth profiles of business-centric technoeconomics are ascertained. As an example, the vast telecommunication (telco)-specific business is considered as a complex enterprise depicting a cyberspace of digital ecology (DE) with a backbone of network that supports a host of information sources and destinations facilitating a variety of triple (voice, data and video) services. To specify the temporal trend of evolution of telco economics in a series format, the approach pursued here (and differs from traditional series analyses) takes into account only a selective (and justifiable) set of autoregressive integrated moving average (ARIMA) parameters consistent with the test data. However, this simplified approach yields sufficiently accurate time-series (depicting the business growth) extendable to forecasting regimes. The efficacy of the proposed method is determined via goodness-fit evaluations both in time- and frequency-domains. The data adopted in the computations conform to typical telco service industry.
Highlights
In modern business world, the plethora of telecommunication networks and the associated information technology (IT) is comprised of a technological infrastructure supporting streams of voice, data and video data flow plus an economic base that earns revenues as well as incurs capital and operational expenses (CAPEX and OPEX)
The vast telecommunication-specific business is considered as a complex enterprise depicting a cyberspace of digital ecology (DE) with a backbone of network that supports a host of information sources and destinations facilitating a variety of triple services
Given a set of data on technoeconomic evolution, which is invariably nonlinear [3], it is governed by various endogenous and/or exogenous variables; and, a regression analysis of it can be normally performed in order to get a trend curve, which is projected to forecast an estimate of possible values of the dependent variable at any specified value of the dependent variable extrapolated beyond the range over which the regression is performed
Summary
The plethora of telecommunication (telco) networks and the associated information technology (IT) is comprised of a technological infrastructure supporting streams of voice, data and video (entertainment) data flow plus an economic base that earns revenues as well as incurs capital and operational expenses (CAPEX and OPEX). In this technoeconomic context, the entirety of telco service industry constitutes a complex digital ecology (DE) populated by a set of “digital species” denoting various (tele)-communication entities (information, technology, service options etc.) along with the entirety of computing systems (soft- and hardware), constituents of entertainment media and items of economics. The data adopted in the computations conform to typical telecommunication (telco) service industry
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