Author, institution: Saulius Adamauskas, Kaunas University of Technology
Science area, field: Social Sciences, Economics, 04S
The Doctoral Dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio g. 20, 44239 Kaunas, Lithuania), Klaipėda University (K. Donelaičio a. 3, 92144 Klaipėda), and Lithuanian Energy Institute (Breslaujos g. 3, 44403 Kaunas).
Scientific Supervisor: Prof. Dr. Rytis KRUŠINSKAS (Kaunas University of Technology, Social Sciences, Economics, 04S)
Dissertation Defence Board of Economics Science Field:
Prof. Dr. Vytautas SNIEŠKA (Kaunas University of Technology, Social Sciences, Economics, 04S) – chairman;
Prof. Dr. Andrzej BUSZKO (University of Warmia and Mazury in Olsztyn, Social Sciences, Economics, 04S);
Prof. Dr. Valdonė DARŠKUVIENĖ (ISM University of Management and Economics, Social Sciences, Economics, 04S);
Prof. Dr. Vaida PILINKIENĖ (Kaunas University of Technology, Social Sciences, Economics, 04S);
Prof. Dr. Asta VASILIAUSKAITĖ (Kaunas University of Technology, Social Sciences, Economics, 04S).
Annotation:
Companies face a problem of caching the optimal timing of new technology adoption, what drives to loss or gain of competiveness, value creation or disruption for the company, investment payback targets setting, building reactivated business models, etc. These issues are more complicated for mature market, where demand changes can be modelled with uncertainty presumptions, because competition is very acute and technology investments are irreversible. To simulate the process, comprehensive technological adoption regarding investment timing was used in a management decision support model. 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. The simulation results have showed, that different companies analysed have financial potential to adopt new technology in the time window of 4.3 – 10.5 years back starting from Y2024. The performed simulations revealed the consequence of 5G technology adoption for investor roles, clustered according to financial data within a 5-year period. The research results also allow to make the concluding remarks about mobile communications company life cycle, depending on the main resource life cycle expectancy. These research results motivates selection of 25 years period for such type company’s valuation.
