Analysis and Evaluation of the Cost and Effective Indicators of the Digital Transformation of Russian Railways

Digital transformation means a revolutionary transformation and integration of digital technologies and services into all business processes of the company, from the creation of products and services, to employee communications, interaction of the company with consumers and other counterparties with the emergence of a new quality and business model based on the widespread embedding of digital resources and continuous end-to-end digital processes. To measure the digital transformation, it is necessary to evaluate the system of specific statistical indicators, their absolute values, relative level, dynamics. The article analyzes and evaluates the indicators of digital transformation in the Russian Railways holding. Objective: to form a sample of statistical indicators and conduct an assessment and analysis of the digital transformation of the Russian Railways company over a number of years. Methods: statistical analysis of dynamic series, benchmarking, big data analysis. Results: specific statistical indicators of digital transformation assessment for the world's largest railway company “Russian Railways” are proposed, an analysis and interpretation of statistical indicators of the company's digitalization in comparison with the average values for Russian transport is carried out. Practical significance: the conducted research allows transport companies to have a specific methodological basis and information base for conducting a statistical assessment of digital transformation.

• Record URL:
  • https://doi.org/10.1007/978-3-030-96380-4
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030963798
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Gulyi, Ilia
• Conference:
  • International Scientific Siberian Transport Forum TransSiberia - 2021
  • Date: 2021-5-11 to 2021-5-14
• Publication Date: 2022-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 945-954
• Monograph Title: International Scientific Siberian Transport Forum TransSiberia - 2021: Volume 1
• Serial:
  • Lecture Notes in Networks and Systems
  • Volume: 402
  • Publisher: Springer Cham
  • ISSN: 2367-3370
  • Serial URL: https://www.springer.com/series/15179

Subject/Index Terms

• TRT Terms: Costs; Digitization; Methodology; Railroads; Statistical analysis
• Geographic Terms: Russia
• Subject Areas: Data and Information Technology; Planning and Forecasting; Railroads;

Filing Info

• Accession Number: 01950285
• Record Type: Publication
• ISBN: 9783030963798
• Files: TRIS
• Created Date: Mar 31 2025 8:53AM