Affiliation
a Lomonosov Moscow State University, Moscow, Russia
Copyright ©Zhuravlev et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0. (
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Received 31 July, 2024 |
Accepted in revised form 11 August, 2024 |
Published 12 September, 2024
Abstract
The solution of the issues of increasing labor productivity is significant at the state, regional, corporate and project levels. The purpose of the article is to form a systemic and conscious perception by senior managers of the role of digital technologies and modern methods of big data processing in solving the problems of increasing labor productivity, the importance of the strategizing methodology for finding and recording points of growth of added value at the enterprise. Based on the scientific works of Academicians Askar A. Akayev and Viktor A. Sadovnichy, a review of the predicted changes in the main subsystems of the World-System is conducted, it is shown that under these conditions the relevance of a comprehensive analysis that takes into account not only long-term trends, but also the interaction of all important factors: technology, demography, economics, sociosphere, politics, etc. increases many times over. The methodological basis of the study is formed by the fundamental laws and rules of the methodology of strategizing of Academician Vladimir L. Kvint. It is shown that the instrument for the practical implementation of the system of strategic management of labor productivity growth processes is digital transformation. The solution to the problem of increasing labor productivity is provided by the large-scale implementation of end-to-end digital technologies in the production life cycle, ensuring the convergence of human and intelligent machine labor - automatic execution of the overwhelming majority of routine operations and offering the best possible solution to a person. The process of managing the strategic process of increasing labor productivity consists of the following stages: monitoring and analysis of indicators; identifying potential growth points; building a digital model of the process and conducting simulation experiments; developing organizational and technical measures and creating a decision support management system. A decisive factor for enterprises seeking to increase labor productivity is the use of artificial intelligence to automate everyday tasks, which allows employees to focus on more strategic activities.
Keywords
advanced development,
business processes,
digital transformation,
factor analysis,
labor productivity,
management system,
mathematical modeling,
strategizing methodology
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How to quote?
Zhuravlev DМ, Chaadaev VК. Strategizing for Productivity Growth in Digital Economy. Strategizing: Theory and Practice. 2024;4(3):298–314. (In Russ.)
https://doi.org/10.21603/2782-2435-2024-4-3-298-314