ON TECHNOLOGY TRENDS AND TECHNOLOGY PRIORITIES ENTIMATION METHODS RESEARCH

  • А.А. Belevtsev PJSC "Sberbank"
  • А. М. Belevtsev Moscow Aviation Institute
  • V.А. Balyberdin 3 Central Research Institute of the Ministry of Defense of the Russian Federation
Keywords: Technology, technology trend, priority, functional purpose, Road map

Abstract

On the base of global technological tendencies analysis the needs for strategic analysis
methods and technological trends are defined. It is pointed out that the effective task decision must
be complex and must support information, logical and methodical interconnection for the following
stages: the monitoring, the technological trends forming and structuring and the technological
and technologies priorities estimation. The main complexity in the priorities estimation is in getting
quantity estimates, criterion interaction and opposite connections in technological trends
analyses. The general approach to solve the problem is suggested. The logical interconnected
procedure for priorities estimation is proposed based on the analytic hierarchy process (AHP) and
the analytic nets method (ANM). The formal scheme to transfer from a technological trend of a
subject sphere for transformed dynamic technology graph is designed. The technologies join the
real as well as the virtual parts. The procedure for criteria forming is discussed. The detailed description
for trends priorities estimation is presented. The main attention is made to criteria and
technologies interconnection problem. The AHP and ANM using to decide estimation problems is
discussed. The suggested procedure practical realization is described be means of an example.
The example reflects the main problems of quantity estimation for technological trends priorities such as criteria and technologies interconnection. The procedure constructed now is used for the
strategic analysis and estimation for innovation development of high technologies enterprises,
road cards making and technological forecasting in various spheres.

References

1. Balyberdin V.A., Belevtsev A.M., Benderskiy G.P. Prikladnye metody otsenki i vybora resheniy
v strategicheskikh zadachakh innovatsionnogo menedzhmenta [Applied methods of evaluation
and choice of solutions in strategic tasks of innovation management]. M.: ITK «Dashkov i K»,
2014. 4th ed., 340 p.
2. Balyberdin V.A., Druzhinin M.A., Panov V.V. Stepanov O.A. Aktual'nye voprosy
avtomatizatsii upravleniya voyskami i oruzhiem [Actual issues of automation of control of
troops and weapons]. Moscow: FGBU «3 TSNII» Minoborony Rossii, 2017, 144 p.
3. Saati T.L. Prinyatie resheniy. Metod analiza ierarkhiy [Decision-making. Method of hierarchy
analysis]. Moscow: Radio i svyaz', 1993.
4. Saati T.L. Prinyatie resheniy pri zavisimostyakh i obratnykh svyazyakh. Analiticheskie seti
[Decision-making with dependencies and feedbacks. Analytical networks]. Moscow:
LIBROKOM, 2009, 358 p.
5. Belevtsev A.M., Balyberdin V.A., Benderskiy G.P., Belevtsev A.A. Analiz napravleniy razvitiya
nano- i IT-tekhnologiy dlya postroeniya spetsializirovannykh setevykh kommunikatsionnykh
sistem novogo pokoleniya [Analysis of the directions of development of nano- and
IT-technologies for the construction of specialized network communication systems of a new
generation], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences],
2015, No. 3 (164), pp. 35-45.
6. Belevtsev A.M., Balyberdin V.A., Belevtsev A.A., Sadreev F.G. O razrabotke intellektual'nykh
servisov monitoringa tekhnologicheskikh trendov v informatsionno-analiticheskikh kompleksakh
[On the development of intelligent services for monitoring technological trends in information and
analytical complexes], Naukoemkie tekhnologii [High-tech technologies], 2019, No. 3.
7. Belevtsev A.M., Balyberdin V.A., Belevtsev A.A. Metodika otsenki vremeni i stoimosti realizatsii
tekhnologicheskikh trendov v usloviyakh neopredelennosti i ne polnoty informatsii [Methodology
for estimating the time and cost of implementing technological trends in conditions of uncertainty
and incomplete information], Naukoemkie tekhnologii [High-tech technologies], 2019, No. 5.
8. Belevtsev A.M., Balyberdin V.A., Belevtsev A.A., Markelov E.B. Nekotorye tendentsii razvitiya
informatsionnykh tekhnologiy dlya sistem setetsentricheskogo upravleniya [Some trends in the
development of information technologies for network-centric management systems],
Vooruzhenie i ekonomika [Armament and economy], 2021.
9. Polyakov I.V., Sokolova T.V., Chepovskiy A.A., Chepovskiy A.M. Problema klassifikatsii
tekstov i differentsiruyushchie priznaki [The problem of text classification and differentiating
features], Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya: Informatsionnye
tekhnologii [Bulletin of Novosibirsk State University. Series: Information Technology], 2015,
Vo. 13, Issue 2, pp. 55-63.
10. Saritas O. Systemic foresight methodology / In D. Meissner, L. Gokhberg, & A. Sokolov
(Eds.), Foresight and science, technology and innovation policies: Best practices. Berlin:
Springer, 2013, pp. 83-117.
11. Belevtsev A.M., Sadreev F.G., Pakhomov S.N. Organizatsiya parallel'nogo monitoringa
napravleniy razvitiya nauki, tekhniki i tekhnologiy v otkrytykh istochnikakh informatsii [Organization
of parallel monitoring of directions of development of science, technology and
technologies in open sources of information], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya
SFedU. Engineering Sciences], 2013, No. 5.
12. Kim Y., Tian Y., Jeong Y., Jihee R., & Myaeng S.-H. Automatic discovery of technology trends
from patent text, In Proceedings of the 2009 ACM symposium on applied computing, 2009,
pp. 1480-1487.
13. Saritas O. Systemic foresight methodology, In D. Meissner, L. Gokhberg, & A. Sokolov
(Eds.), Foresight and science, technology and innovation policies: Best practices. Berlin:
Springer, 2013, pp. 83-117.
14. Shibata N., Kajikawa Y., & Sakata I. Detecting potential technological fronts by comparing
scientific papers and patents, Foresight, 2011, Vol. 13 (5), pp. 51-60.
15. Medhat W., Hassan A., Korashy H. Sentiment analysis algorithms and applications: A survey,
Ain Shams Engineering Journ, 2014, No. 5, pp. 1093-1113.
16. Fuller C.M., Biros D.P. and Delen D. An investigation of data and text mining methods for real
world deception detection, Expert Systems with Applications, 2011, No. 38, pp. 8392-8398.
17. Belevtsev A.M., Balyberdin V.A., Belevtsev A.A. Ob otsenke napravleniy razvitiya
informatsionnykh tekhnologiy dlya sistem setetsentricheskogo upravleniya [On the assessment
of the directions of information technology development for network-centric management systems],
Sb. dokladov: Materialy Vserossiyskoy nauchno-tekhnicheskoy konferentsii s
mezhdunarodnym uchastiem «Komp'yuternye i informatsionnye tekhnologii v nauke, inzhenerii
i upravlenii» Taganrog «KomTekh 2017» [Collection of reports: Materials of the All-Russian
Scientific and Technical Conference with international participation "Computer and Information
technologies in science, engineering and management" Ta–ganrog "Comtech 2017"],
2017, pp. 8-12.
18. Cobo M.J., Lopez-Herrera A.G., Herrera-Viedma E., Herrera F. An approach for detecting,
quantifying, and visualizing the evolution of a research field: A practical application to the
Fuzzy Sets Theory field, Journal of Informetrics, 2011, Vol. 5, pp. 146-166.
19. Gokhberg L., Fursov K., Miles I., Perani G. Developing and using indicators of emerging and
enabling technologies // Handbook of Innovation Indicators and Measurement, Ed. F. Gault.
Cheltenham: Edward Elgar, 2013, pp. 349-380.
20. Palomino M.A., Vincenti A., Owen R. Optimising web-based information retrieval methods for
horizon scanning, Foresight, 2013, Vol. 15, No. 3, pp. 159-176.
Published
2023-02-27
Section
SECTION II. INFORMATION PROCESSING ALGORITHMS