• Saulius Adamauskas School of Economics and Business, Kaunas University of Technology
  • Rytis Krušinskas School of Economics and Business, Kaunas University of Technology
Keywords: optimal investment timing, geometric Brownian motion, 5G technology adoption


Enterprises need to identify the optimal timing for technological change in order to increase competitiveness and increase the value of the company in an uncertain demanding environment. Investment decisions for adopting new technologies are costly and sometimes risky because technological investments are irreversible. To simulate the process, comprehensive technological adoption regarding investment timing was used in a management decision support model. The constructed model is structured as follows: 1) historical demand paths analysis; 2) application of statistical data validity tests; 3) the forecast of market parameters regarding data arrays using the geometric Brownian motion method, based on Monte Carlo simulation; 4) determination of technological life cycle using a Hodrick–Prescott filter; 5) technological adoption time-window determination; and 6) calculation of company net present values (NPV) based on change in free cash-flow. The model for mature 5G mobile markets, created and empirical tested, was performed in relation to 18 largest Europe mobile service providers, as potential decision makers operating across 33 countries. Results confirmed that selection of the technological investment time depends on companies’ strategic financial decisions and financial state. The performed simulations revealed the consequence of 5G technology investment for investor roles, clustered according to financial data within a 5-year period (2010–2014). The analyzed companies were assigned to roles of pioneers-innovators, pragmatics, followers, or laggards. Finally, it is assumed and argued that financial parameters indicate the willingness to adopt new technologies in a global technologically changing environment.


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