Investment and innovative development of industrial enterprises as the basis for the technological singularity
-
DOIhttp://dx.doi.org/10.21511/ppm.17(3).2019.38
-
Article InfoVolume 17 2019, Issue #3, pp. 477-491
- Cited by
- 1032 Views
-
172 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Investment and innovative development of industrial enterprises is driven by the influence on the sensitive indicators of their activity, which characterize technological singularity. Therefore, it is expedient to define them using adequate economic and mathematical methods that will identify the development and growth points that are characterized by the accumulation of information and are a manifestation of singularity. The purpose of the article is to determine the main sensitive indicators of the investment and innovative development of industrial enterprises, which are the points of technological singularity. The article proposes conceptual provisions for evaluating the investment-innovation activity of enterprises as a basis for their development. These provisions consider the activity of economic entities according to three states (functioning, growth, and development); evaluation of investment and innovation activities, both individually and in conjunction with the official statistical reporting of enterprises using a well-founded minimum sufficient system of partial indicators defined through the multidimensional factor analysis and combined into integral and summarizing indicators; determination of technological singularity points as a result of prediction of partial and summarizing indicators’ values via the neural networks method. A methodological approach is developed to substantiate the technological singularity points, the managerial influence on which is provided by the development of enterprises. The methodological approach is based on considering the investment-innovation activity nonlinearity, both explicit and latent tendencies of development, situationality and variability of its goals, strategic orientation and possible technological singularity of an enterprise. The proposals submitted were implemented based on statistical reports of the machine-building enterprises for 2014–2018.
- Keywords
-
JEL Classification (Paper profile tab)C23, С38, О12, О31, О33
-
References23
-
Tables7
-
Figures2
-
- Figure 1. The main conceptual provisions for assessing the investment and innovation activity of enterprises
- Figure 2. The dendrogram constructed based on investment and innovation activity indicators
-
- Table 1. Dispersion and eigenvalues of main components of the investigated enterprises’ investment activity
- Table 2. Dispersion and eigenvalues of the main components of the investigated enterprises’ innovation activities
- Table 3. Factor loading of investment activity indicators of machine-building enterprises of the Kharkiv region
- Table 4. Factor loadings of innovation activity indicators of machine-building enterprises of the Kharkiv region
- Table 5. Quality characteristics of the multilevel perceptron model
- Table 6. Rank, calculation error and indicator sensitivity of the selected multilevel perceptron model
- Table 7. Predictive value of the summarizing integral indicator of investment and innovation activity of enterprises for 2019 using the multilevel perceptron model
-
- Caragliu, A., de Bo, C., & Nijkamp, P. (2009). Smart cities in Europe. 3rd Central European Conference in Regional Science, CERS.
- Engels, F. (1961). Наброски к критике политической экономии [Nabroski k kritike politicheskoy ekonomii].
- Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., & Meijers, E. (2007). Smart Cities – Ranking of European medium-sized cities.
- Hollands, R. G. (2008). Will the real smart city please stand up? City, 12(3), 303-320.
- Iastremska, O. M. (2006). Застосування теорії нечітких множин для якісного розмежування характеристик підприємств (на прикладі підприємств машинобудівної, харчової та легкої промисловості) [Zastosuvannia teorіi nechіtkykh mnozhyn dlia yakіsnoho rozmezhuvannia kharakterystyk pidpryiemstv (na prykladі pidpryiemstv mashynobudivnoi, kharchovoi ta lehkoi promyslovostі)]. Ekonomika rozvytku, 3(39), 95-101.
- Iastremska, O. M., & Stokovych, H. (2019). Main trends of investment and innovative activity of business entities in the conditions of European integration. Innovative Tachnologies and Scientific Solutions for Industries, 1(7).
- Kizim, N. A., Iastremska, E. N., & Senchukov, V. F. (2007). Нейронные сети: теория и практика применения [Neyronnyye seti: teoriya i praktika primeneniya].
- Komninos, N. (2006). The architecture of intelligent cities: integrating human, collective and artificial intelligence to enhance knowledge and innovation. In the IEEE 2nd IET International Conference on Intelligent Environments (pp. 13-20).
- Kurzweil, R. (2005). The singularity is near. New York: Penguin.
- Kurzweil, R. (2008). The singularity: The last word (electronic forum).
- Labunska, S. V., Karaszewski, R., Prokopisyna, O. V, & Iermachenko, Ie. V. (2019). Cognitive analytical tools for cost management of innovation activity. Problems and Perspectives in Management, 17(1), 395-407.
- Lombardi, P., Giordano, S., Caragliu, A., Del Bo, C., Deakin, M., Nijkamp, P., Kourtit, K., & Farouh, H. (2012). An advanced triple-helix network model for smart cities performance.
- More, M., & Vita-More, N. (Eds.) (2013). The transhumanist reader: Classical and contemporary essays on the science, technology, and philosophy of the human future. West Sussex, UK: Wiley-Blackwell.
- Munoz, J. M., & Naqvi, A. (2017). Artificial Intelligence and Urbanization: The Rise of the Elysium City. Economics and Political Economy, 4(1), 1-13.
- Nicolescu, B. (2007). Transdisciplinarity as methodological framework for going beyond the science and religion debate. Transdisciplinarity in Science and Religion, 2, 35-60.
- Nicolescu, B. (2014). From modernity to cosmodernity: Science, culture, and spirituality. New York: State University of New York (SUNY) Press.
- Nicolescu, B. (2016). The Dark Side of Technological Singularity. New Barbarism Cybernetics and Human Knowing, 23(4), 77-81.
- Nordhaus, W. D. (2015). Are we approaching an economic singularity? Information technology and the future of economic growth.
- Pliuta, V. (1980). Сравнительный многомерный анализ в экономических исследованиях. Методы таксономии и факторного анализа [Sravnitelnyy mnogomernyy analiz v ekonomicheskikh issledovaniyakh. Metody taksonomii i faktornogo analiza].
- Ponomarenko, V., & Gontareva, I. (2017). The system of causal connections between entrepreneurial activity and economic development. Economic Annals-ХХI, 165(5-6), 4-7.
- Sharp, B. M., Iyer, D. N., & Brush, T. H. (2017). Executive influence on invention and commercialization: The moderating role of innovation radicalness. American Journal of Business, 32(3-4), 134-151.
- Vinge, V. (1993). Technological singularity. The original version of this article was presented at the VISION-21 Symposium sponsored by NASA Lewis Research Center and the Ohio Aerospace Institute, March 30-31, 1993. A slightly changed version appeared in the Winter 1993 issue of Whole Earth.
- Технологическая сингулярность как ближайшее будущее человечества [Tekhnologicheskaya singuliarnost kak blizhaysheye budushchee chelovechestva].