EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 311 (2020) MATEC Web Conf., 311 (2020) 02017 References
Open Access
Issue
MATEC Web Conf.
Volume 311, 2020
IX Czarnowski Readings – Annual International Scientific and Practical Conference on the Organization of Production and Industrial Policy
Article Number 02017
Number of page(s) 8
Section Section Meetings
DOI https://doi.org/10.1051/matecconf/202031102017
Published online 23 March 2020
  1. AI in 2019: 8 trends to watch. [Electronic source]: K. Casey//A community of CIOs discussing the future of business and IT. URL: https://enterprisersproject.com/article/2018/12/ai-trends-2019 (access date: 24.10.2019). [Google Scholar]
  2. Knowledge management capability impact on enterprise performance in Russian high- tech sector/E.N. Gorlacheva, A.G. Gudkov, I.N. Omelchenko, P.A. Drogovoz, D.V. Koznov//2018 IEEE international conference on engineering, technology and innovation, ICE/ITMC 2018 - Proceedings. 2018. Art. No. 8436316. DOI: 10.1109/ICE.2018.8436316. [Google Scholar]
  3. The modelling of the efficiency in the new generation manufacturing distributive systems based on the cognitive productions factors/I.N. Omelchenko, P.A. Drogovoz, E.N. Gorlacheva, V.A. Shiboldenkov, O.M. Yusufova//IOP Conference Series: Materials Science and Engineering. 2019. Vol. 630, Issue 1. Art. No. 012020. DOI: 10.1088/1757-899X/630/1/012020. [Google Scholar]
  4. Cognitive factors of production’s utility assessment of knowledge-intensive organizations/E.N. Gorlacheva, I.N. Omelchenko, P.A. Drogovoz, O.M. Yusufova, V.A. Shiboldenkov//AIP Conference Proceedings. 2019. Vol. 2171. Art. No. 090005. DOI: 10.1063/1.5133228. [Google Scholar]
  5. Gueguen G. Coopetition and business ecosystems in the information technology sector: the example of Intelligent Mobile Terminals//International journal of entrepreneurship and small business. 2009. V. 8. N°. 1. PP. 135–153. [Google Scholar]
  6. Shiboldenkov V.A. Development of tools for neural network intelligence analysis and decision support for the development of economic systems: Thesis for a Candidate Degree in Economic Sciences. M. 2019. 208 p. [Google Scholar]
  7. Dadalko V.A., Nazyrova D.R., Topchiy P.P. Digital Economy Tools to Ensure the Transparency of Managing an Industrial Enterprise//Economy. Taxes. Law. 2018. N°5. URL: https://cyberleninka.ru/article/n/instrumenty-tsifrovoy-ekonomiki-kak-sposoby-">https://cyberleninka.ru/article/n/instrumenty-tsifrovoy-ekonomiki-kak-sposoby-obespecheniya-transparentnosti-hozyaystvovaniya-promyshlennogo-predpriyatiya (access date: 24. 10.2019). [Google Scholar]
  8. The open manufacturing platform [Electronic source]:https://www.bmwgroup.com/en/innovation/company/open-manufacturing-cloud.html (access date: 24.10.2019). [Google Scholar]
  9. Weill P., Woerner S. L. Thriving in an increasingly digital ecosystem//MIT Sloan Management Review. 2015. V. 56. N°. 4. P. 27. [Google Scholar]
  10. Volochienko V., Falko S., Postnikova E. Recognition of the problematic situations in industrial systems with intellectual support//International Journal of Mathematical, Engineering and Management Sciences. 2019. Vol. 4, N° 6. P. 1434–1447. [Google Scholar]
  11. Novozhilov K. S., Golubev D. V., Entin N. I. The core of the digital platform//Colloquium-journal. 2019. N°15 (39). URL: https://cyberleninka.ru/article/n7yadro-tsifrovoy-platformy-1 (access date: 17.10.2019). [Google Scholar]
  12. Rudskaya E.N., Shikolenko A.G. Banking as a digital ecosystem: problems and trends//Economics and Business: Theory and Practice. 2019. N°. 9. P. 141–144. [Google Scholar]
  13. Subramaniam M., Iyer B., Venkatraman V. Competing in digital ecosystems//Business Horizons. 2019. V. 62. N°. 1. P. 83–94. [Google Scholar]
  14. Lutjen H. et al. Managing ecosystems for service innovation: A dynamic capability view//Journal of Business Research. 2019. P. 506–519. [Google Scholar]
  15. de Vasconcelos Gomes L. A. et al. Unpacking the innovation ecosystem construct: Evolution, gaps and trends//Technological Forecasting and Social Change. 2018. V. 136. P. 30–48. [CrossRef] [Google Scholar]
  16. Jacobides M. G., Cennamo C., Gawer A. Towards a theory of ecosystems//Strategic Management Journal. 2018. V. 39. N°. 8. P. 2255–2276. [Google Scholar]
  17. Petrov A.V. Imitation as the basis of digital twin technology//Bulletin of Irkutsk State Technical University. 2018. V. 22. N°. 10 (141). PP. 56–66. [Google Scholar]
  18. How difficult is the transition of industry to a “number” and what benefits will it bring to Russia [Electronic source]: https://expert.ru/expert/2020/01/pod-znakom-bliznetsov/ (accessdate: 24.10.2019). [Google Scholar]
  19. About the Siemens Innovation Ecosystem [Electronic source]: https://ecosystem.siemens.com/about (access date: 24.10.2019). [Google Scholar]
  20. SAP made the «ecosystem» open [Electronic source]: https://www.crn.ru/numbers/reg- numbers/detail.php?ID=11310 (access date: 24.10.2019). [Google Scholar]
  21. Partner ecosystem of Cisco [Electronic source]:https://www.bytemag.ru/articles/detail.php?ID=14219 (access date: 24.10.2019). [Google Scholar]
  22. ANSYS Partner Ecosystem [Electronic source]: https://www.ansys.com/about-ansys/partner-ecosystem (access date: 24.10.2019). [Google Scholar]
  23. Kidd, Paul T. Agile manufacturing: forging new frontiers. Addison-Wesley Longman Publishing Co. Inc. 1995. [Google Scholar]
  24. Yusuf, Yahaya Y., Mansoor Sarhadi, Angappa Gunasekaran Agile manufacturing: The drivers, concepts and attributes//International Journal of production economics. N° 62.12. 1999. P. 33–43.- [Google Scholar]
  25. Sherehiy B., Karwowski W., Layer J. K. A review of enterprise agility: Concepts, frameworks, and attributes//International Journal of industrial ergonomics. N° 37.5. 2007. P. 445–460. [Google Scholar]
  26. Sajad F., Zutshi A., O’Loughlin A. Understanding and development of supply chain agility and flexibility: a structured literature review//International Journal of Management Reviews. N° 19.4. 2017. P. 379–407. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.