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Towards Business Optimization and Development of Telecommunication Companies: Tools Analysis and Their Adaptation Opportunities

  • Vladimir V. Glukhov
  • Igor V. Ilin
  • Aleksandr A. LepekhinEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)

Abstract

The telecommunication industry is complex and rapidly changing economy sector due to high vulnerability of new technologies, emerging on the market. The companies have to constantly adopt and develop their business and their services to these unstable conditions. The process of adaptation to market changes has to be supported by different tools and approaches, which are very different today. This study is aiming to analyze the possibilities of adaptation of different technologies for developing the business of telecommunication companies and make an attempt to reveal which technologies are core and baseline for company’s development and growth.

Keywords

Telecommunication companies Business development Internet of Things Business Intelligence Enterprise architecture 

References

  1. 1.
    Gluhov, V.V., Ilin, I.V.: Project portfolio structure in a telecommunications company. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 509–518. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-10353-2_46CrossRefGoogle Scholar
  2. 2.
    Glukhov, V.V., Ilin, I.V., Levina, A.I.: Project management team structure for internet providing companies. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART 2015. LNCS, vol. 9247, pp. 543–553. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-23126-6_47CrossRefGoogle Scholar
  3. 3.
    Ilin, I., Kalinina, O., Iliashenko, O., Levina, A.: IT-architecture reengineering as a prerequisite for sustainable development in Saint Petersburg urban underground. Procedia Eng. 165, 1683–1692 (2016)CrossRefGoogle Scholar
  4. 4.
    Lankhorst, M.: Enterprise Architecture at Work: Modelling, Communication and Analysis. Springer, Heidelberg (2009).  https://doi.org/10.1007/978-3-642-29651-2CrossRefGoogle Scholar
  5. 5.
    Winter, K., Buckl, S., Matthes, F., Schweda, C.M.: Investigating the state-of-the-art in enterprise architecture management methods in literature and practice. MCIS 90 (2010)Google Scholar
  6. 6.
    Ghaleb, S.M., Subramaniam, S., Zukarnain, Z.A., Muhammed, A.: Mobility management for IoT: a survey. EURASIP J. Wirel. Commun. Netw. 2016, 165 (2016)CrossRefGoogle Scholar
  7. 7.
    Song, Y.: “Bring Your Own Device (BYOD)” for seamless science inquiry in a primary school. Comput. Educ. 74, 50–60 (2014)CrossRefGoogle Scholar
  8. 8.
    Oyman, O., Foerster, J., Tcha, Y., Lee, S.-C.: Toward enhanced mobile video services over WiMAX and LTE [WiMAX/LTE update]. IEEE Commun. Mag. 48 (2010)CrossRefGoogle Scholar
  9. 9.
    Lacmanović, I., Radulović, B., Lacmanović, D.: Contactless payment systems based on RFID technology. In: MIPRO, 2010 Proceedings of the 33rd International Convention. pp. 1114–1119. IEEE (2010)Google Scholar
  10. 10.
    Sun, J., Wu, Z., Pan, G.: Context-aware smart car: from model to prototype. J. Zhejiang Univ. Sci. A. 10, 1049–1059 (2009)CrossRefGoogle Scholar
  11. 11.
    Hamed, B.: Design & implementation of smart house control using LabVIEW. Int. J. Soft Comput. Eng. IJSCE 1, 98–106 (2012)Google Scholar
  12. 12.
    Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19, 171–209 (2014)CrossRefGoogle Scholar
  13. 13.
    Sherman, W.R., Craig, A.B.: Understanding Virtual Reality: Interface, Application, and Design. Elsevier, New York (2002)Google Scholar
  14. 14.
    Kopeetsky, M.: Mathematical modelling of the wireless communication network. Math. Stat. 8Google Scholar
  15. 15.
    Mathematical model developed to assess telecommunications network performance - UQ News - The University of Queensland, Australia. https://www.uq.edu.au/news/article/1999/01/mathematical-model-developed-assess-telecommunications-network-performance
  16. 16.
    Stavroulakis, P.: Chaos Applications in Telecommunications. CRC Press, Boca Raton (2005)CrossRefGoogle Scholar
  17. 17.
    Telecom Business Intelligence (2017). https://www.panorama.com/telecom-business-intelligence/

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Saint Petersburg Polytechnic UniversitySaint PetersburgRussia

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