Analytical Modeling of Development and Implementation of Telecommunication Technologies

  • Vladimir Gluhov
  • Valery Leventsov
  • Anton Radaev
  • Nikolay NikolaevskiyEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)


The paper discusses the problem of defining the characteristics of processes related to development and implementation of telecommunication technologies. These characteristics must reflect an adequate assessment of expectations for the implementation of new technologies and be a basis for correct and relevant decision-making, which should lead to key competitive advantages, both for an individual enterprise and the economy of the country as a whole. The above circumstances have predetermined the topicality of the research study, whose aim at this stage is to assess the adequacy of the analytical model, which is developed on the basis of Gartner’s hype cycle model and reflects the dependence of expectations for the technology on a time factor. The results of analytical modeling have been obtained on the example of the commonly used telecommunication technology Bluetooth. The source data included a number of articles on the relevant subject from Scopus database. Based on the obtained results, it has been concluded on the working capacity of the used model and recommendations have been given on its possible improvement.


Analytical modeling Gartner’s hype cycle Bluetooth Technology development’s completion indicator Aggregate expectation indicator 


  1. 1.
    Gartner. Inc. Gartner Hype Cycle, 10 April 2018.
  2. 2.
    Nikolov, R., Shoikova, E., Krumova, M., et al.: Learning in a smart city environment. J. Commun. Comput. 13, 338–350 (2016)CrossRefGoogle Scholar
  3. 3.
    Ukwuani, N., Bashir, E.: Emerging technologies: an exploration of novel interactive technologies. Int. J. Inf. Syst. Serv. Sect. 9, 30–43 (2017)CrossRefGoogle Scholar
  4. 4.
    Palikaras, G., Kallos, E.: The gartner hype cycle for metamaterials. In: 8th International Congress on Advanced Electromagnetic Materials in Microwaves and Optics – Metamaterials, pp. 397–399 (2014)Google Scholar
  5. 5.
    Siow, K.S.: Graphite Exfoliation to Commercialize Graphene Technology. SainsMalaysiana 46(7), 1047–1059 (2017)Google Scholar
  6. 6.
    Steinert, M., Leifer, L.: Scrutinizing Gartner’s hype cycle approach. In: IEEE Proceedings of Technology Management for Global Economic Growth, pp. 254–266 (2010)Google Scholar
  7. 7.
    Fenn, J., Raskino, M.: Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time. Harvard Business Press, Boston (2008)Google Scholar
  8. 8.
    Kim, J., Hwang, M., Jeong, D.H., Jung, H.: Technology trends analysis and forecasting application based on decision tree and statistical feature analysis. Expert Syst. Appl. 39(16), 12618–12625 (2012)CrossRefGoogle Scholar
  9. 9.
    Leventsov, V., Radaev, A., Salkutsan, S.: Mathematic model of production technology transformation. In: SHS Web of Conferences (in press)Google Scholar
  10. 10.
    Scopus Database, 10 April 2018.
  11. 11.
    The Bluetooth Special Interest Group (SIG), 10 April 2018.

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Vladimir Gluhov
    • 1
  • Valery Leventsov
    • 1
  • Anton Radaev
    • 1
  • Nikolay Nikolaevskiy
    • 1
    Email author
  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySaint PetersburgRussia

Personalised recommendations