MANAGEMENT PROBLEMS OF INNOVATIVE TECHNOLOGIES
Abstract
The article focused on the innovative technologies management problems investigation. The endogenous distribution of economic factors for research and development sectors have been evaluated in order to study the accumulation process of innovation and technologies. The research methodology is based on the system dynamics approach that gives the advantage to delve in dynamic problems for complex economic and social issues taking into account information and material delays as well as feedback and endogenous causality. The computer simulation model has been built to describe the dynamic of innovative technologies and to perform the sensitivity analysis in order to investigate how change in different parameter of system affect the economic growth and its dynamic properties. The simulation results confirm that management policy decisions can change dramatically if parameters are influenced by unpredictable shocks but the behavior of technological growth does not depend on initial conditions of system if an effective management policy has been provided.
References
Guryanova, L., Bolotova, O., Gvozdytskyi, V. and Sergienko, O. (2020). Long-term financial sustainability: An evaluation methodology with threats considerations. Rivista di Studi sulla Sostenibilita, Vol. 2020(1). pp. 47–69.
Lukianenko, I., Oliskevych, M. (2019). Labor Force Participation in Eastern European Countries: Nonlinear Modeling. Journal of Economic Studies. Emerald Publishing. Melbourne. Vol. 46 № 6. pp. 1258–1279.
Оliskevych, М., Tokarchuk, V. (2018). Dynamic modelling of nonlinearities in the behaviour of labour market indicators in Ukraine and Poland. Economic Annals – XXI, Vol. 169, Issue 1-2. pp. 35–39.
Kozyk, V., Mrykhina, O., Koleshchuk, O., Mirkunova, T. (2018). Substantiation of methodical approaches to cost estimation of innovative technologies. Technology audit and production reserves, Vol. 3(41) 2018, Socionet; Technology audit and production reserves, Vol. 3(4(41)). pp. 25–33.
Aralica, Z. (2020). The Analysis of Key Enabling Technologies in Innovative Environment in Croatia. Economic Thought and Practice, University of Dubrovnik, Vol. 29(2). pp. 369–392.
Oliskevych, M., Lukianenko, I. (2020). European unemployment nonlinear dynamics over the business cycles: Markov switching approach. Global Business and Economics Review, Inderscience Publishers, Vol. 22, Issue 4. pp. 375–401.
Ganguli, C., Shandilya, S.K., Nehrey, M., Havryliuk, M. (2023). Adaptive Artificial Bee Colony Algorithm for Nature-Inspired Cyber Defense. Systems, Vol. 11(1), 27. pp. 1–19.
Wereda, W. (2022). The Role of Modern Technologies in Functioning of Contemporary Innovative Enterprises on the Example of Poland. European Research Studies Journal, Vol. 0(3). pp. 418–429.
Ödemiş, M. (2022). Use of Innovative Technologies in the Promotion and Marketing of Asian Tourism Destinations: Sample of Turkey Destination. Springer Books, in: Azizul Hassan (ed.), Handbook of Technology Application in Tourism in Asia, Chapter 26. pp. 559–577.
Lukianenko, I., Oliskevych, M., Bazhenova, O. (2020). Regime Switching Modeling of Unemployment Rate in Eastern Europe. Journal of Economics, Institute of Economic Research of Slovak Academy of Sciences, Vol. 68, Issue 4. pp. 380–408.
Оliskevych, M., Beregova, G., Tokarchuk, V. (2019). Fuel Consumption in Ukraine: Evidence from Vector Error Correction Model, International Journal of Energy Economics and Policy, Vol. 8(5). pp. 58–63.
Kraciuk, J., Kacperska, E., Lukasiewicz, K., Pietrzak, P. (2022). Innovative Energy Technologies in Road Transport in Selected EU Countries. Energies, MDPI, Vol. 15(16). pp. 1–18.
Kaminskyi, A., Nehrey, M. and Komar, M. (2020). Complex Risk Analysis of Investing in Agriculture ETFs. International Journal of Industrial Engineering & Production Research, Vol. 31 (4). pp. 579–586.
