Open Access
Issue
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 05010
Number of page(s) 7
Section Collaborative Economics, Digital Platforms and Multimedia
DOI https://doi.org/10.1051/shsconf/20219205010
Published online 13 January 2021
  1. Nica, E., Konecny, V., Poliak, M., Kliestik, T. (2020). Big Data Management of Smart Sustainable Cities: Networked Digital Technologies and Automated Algorithmic Decision-making Processes. Management Research and Practice, 12(2), 48-57. [Google Scholar]
  2. Pelton, J.N., Singh, I.B (2019). Smart Cities of Today and Tomorrow: Better Technology, Infrastructure and Security. Springer, Berlin. [CrossRef] [Google Scholar]
  3. Yang, C., Huang, Q., Li, Z., Liu K., Hu, F. (2017). Big Data and Cloud Computing: Innovation Opportunities and Challenges. International Journal of Digital Earth, 10(1), 13-53. [CrossRef] [Google Scholar]
  4. ICAEW (2019). Big Data and Analytics: The Impact on the Accountancy Profession. [Google Scholar]
  5. Coatney, K. (2019). Cyber-Physical Smart Manufacturing Systems: Sustainable Industrial Networks, Cognitive Automation, and Big Data-driven Innovation. Economics, Management, and Financial Markets, 14(4), 3-29. [Google Scholar]
  6. Zanoon, N., Al-Haj, A., Khwaldeh, S.M. (2017). Cloud Computing and Big Data is there a Relation between the Two: A study. International Journal of Applied Engineering Research, 12(17), 6970-6982. [Google Scholar]
  7. Devasena, L. (2014). Impact Study of Cloud Computing on Business Development. Operations Research and Applications: An International Journal (ORAJ), 1(1), 2-8. [Google Scholar]
  8. Tooby, C. (2019). Governance Mechanisms of Analytical Algorithms: The Inherent Regulatory Capacity of Data-driven Automated Decision-Making. Contemporary Readings in Law and Social Justice, 11(1), 39-44. [CrossRef] [Google Scholar]
  9. Furnham, P. (2019). Automation and Autonomy of Big Data-driven Algorithmic Decision-Making. Contemporary Readings in Law and Social Justice, 11(1), 51-56. [CrossRef] [Google Scholar]
  10. Mohamad, M., Selamat, A., Krejcar, O., Fujita, H., Wu, T. (2020). An Analysis on New Hybrid Parameter Selection Model Performance over Big Data Set. Knowledge-Based Systems, 192, Art. No. 105441. [CrossRef] [Google Scholar]
  11. Gupta, S., Qian , X., Bhushan, B., Luo, Z. (2019). Role of Coud ERP and Big Data on Firm Performance: A Dynamic Capability View Theory Perspective. Management Decision, 57(8), 1857-1882. [CrossRef] [Google Scholar]
  12. Trettin, C., Lazaroiu, G., Grecu, I., Grecu G. (2019). The Social Sustainability of Citizen-centered Urban Governance Networks: Sensor-based Big Data Applications and Real-Time Decision-Making, Geopolitics, History, and International Relations, 11(2), 27-33. [CrossRef] [Google Scholar]
  13. Lu, Y., Xu, X. (2019). Cloud-based Manufacturing Equipment and Big Data Analytics to Enable on-demand Manufacturing Services. Robotics and Computer-Integrated Manufacturing, 57, 92-102. [CrossRef] [Google Scholar]
  14. Ionescu, L. (2019). Big data, Blockchain, and Artificial Intelligence in Cloud-Based Accounting Information Systems. Analysis and Metaphysics, 18, 44-49. [CrossRef] [Google Scholar]
  15. Ionescu, L. (2019). Would Taxing the Robots Curtail Technological Advancement or Mitigate the Risks of Automation? Contemporary Readings in Law and Social Justice, 11(1), 33-38. [CrossRef] [Google Scholar]
  16. Ram, J., Zhang, C., Koronios, A. (2016). The Implication of Big Data Analytics on Business Intelligence: A Qualitative Study in China. Forth International Conference on Recent Trends in Computers Science & Engineering, Elsevier, Procedia Computer Science, 87, 221-226. [Google Scholar]
  17. Anke, J. (2019). Design-integrated Financial Assessment of Smart Services. Electronic Markets, 29, 19-35. [CrossRef] [Google Scholar]
  18. Lafferty, C. (2019). Sustainable internet-of-things-based manufacturing systems: industry 4.0 Wireless Networks, Advanced Digitalization, and Big Data-driven Smart Production. Economics, Management, and Financial Markets, 14(4), 16-22. [Google Scholar]
  19. Dubman, R. (2019), The Digital Governance of Data-driven Smart Cities: Sustainable Urban Development, Big Data Management, and the Cognitive Internet of Things. Geopolitics, History, and International Relations, 11(2), 34-40. [CrossRef] [Google Scholar]
  20. Liu, X. (2020). Analyzing the impact of user-generated content on B2B Firms’ stock performance: Big data analysis with machine learning methods. Industrial Marketing Management, 86, 30-39. [CrossRef] [Google Scholar]
  21. Tao, H., Bhuiyan, M.Z.A., Rahman, M.A., Wang, G., Wang, t., Ahmed, M.M., Li, J. (2019). Economic Perspective Analysis of Protecting Big Data Security and Privacy. Future Generation Computer Systems, 98, 660-671. [CrossRef] [Google Scholar]
  22. Dolan-Canning, R. (2019). Sensor-based and Cognitive Assistance Systems in Industry 4.0: Big Data Analytics, Smart Production, and Sustainable Value Creation. Economics, Management, and Financial Markets, 14(3), 16-22. [Google Scholar]
  23. Fields, D. (2018). Automated Landlord: Digital Technologies and Post-crisis Financial Accumulation. Environment and Planning A: Economy and Space, 94(2), 118-140. [Google Scholar]
  24. Attaran, M., Woods, j. (2018). Cloud Computing Technology: Improving Small Business Performance Using the Internet. Journal of Small Business & Entrepreneurship, 31(6), 495-519. [CrossRef] [Google Scholar]
  25. Ashander, L., Kliestikova, J., Durana, P., Vrbka, J. (2019). The Decision-Making Logic of Big Data Algorithmic Analytics. Contemporary Readings in Law and Social Justice, 11(1), 57-62. [CrossRef] [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.