Using automation to improve business process productivity
S. V. Trofimov ()
Entrepreneur’s Guide, 2025, vol. 18, issue 2
Abstract:
  This article presents an overview of digital tools that can enhance the productivity of processes in the business environment by reducing labor–intensive operations and more accurate data analysis.  The subject of the study is the methods of implementing software solutions aimed at automating and robotizing repetitive procedures.  The work uses a comparative method that allows us to compare different approaches to infrastructure modernization and determine their economic return. The study analyzed scientific publications by Russian authors, as well as studied examples of the implementation of robotic technologies that show a reduction in errors due to the rejection of manual checks. Attention is paid to how organizations adapt their staff structure with the growth of digital information volumes, and employees switch to more complex and intellectual tasks. Emphasis is placed on the relationship between the level of preparation for the project, corporate culture and the results of digital transformation. The results indicate a positive impact of automation on the competitiveness of companies by accelerating operations, reducing costs and improving customer service. The article will be useful for entrepreneurship specialists, management personnel, digital consultants and anyone looking for practical tools to improve the efficiency of business processes.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.pp-mag.ru/jour/article/viewFile/2088/1770 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ahc:journl:y:2025:id:2088
DOI: 10.24182/2073-9885-2025-18-2-32-39
Access Statistics for this article
More articles in Entrepreneur’s Guide from JSC “Publishing Agency “Science and Educationâ€
Bibliographic data for series maintained by Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ ().