Foresight as a strategic technological forecasting tool in digital transformation

L. Lapidus, A. Draganyuk, A. R. Mzokov
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Abstract

Aim. To identify the most effective foresight methods for technological forecasting of digital transformation and development of Russian corporations.Tasks. Analysis of methodological foundations of foresight, its essence, goal setting, and specifics of its practical application; identification of factors for foreign consulting companies to apply foresight methods; review of Russian practice of corporate foresight application by RZD, Gazprom and Rosatom; identification and demonstration of the most effective foresight methods for domestic companies.Methods. The authors used general logical and special research methods, system and structuralfunctional approaches. The study is based on scientific papers published in Russian and foreign periodicals, publications in leading Russian periodicals, normative-legal documents, as well as data from the Bank of Russia, international consulting companies, etc.Results. The article is devoted to the prospects and possibilities of using foresight methods for forecasting and strategic planning in Russian companies. The most effective foresight methods that can be used to develop strategies for the digital transformation of domestic companies were identified.Conclusions. The complexity of technological forecasting is also due to the high degree of uncertainty in the digital economy environment, which is confirmed by the authors’ research in the context of analyzing the data of numerous forecasts of analytical and consulting companies. Significant differences in the methodology of calculating the indicator can be seen in the example of estimates of the size of the global Internet of Things market, which shows a significant scattering of analysts’ opinions, from $300.3 billion to $1,186.2 billion in 2021 (from $75.28 billion to $740.47 billion in 2020). Corporate foresight serves as a strategic technology foresight tool in a highly uncertain digital environment, unreliable forecasts of Industry 4.0 technology market development and other socio-economic processes, which are of primary importance in developing strategies for digital transformation.
数字化转型中的前瞻性战略技术预测工具
的目标。为俄罗斯企业的数字化转型和发展确定最有效的技术预测方法。前瞻的方法论基础、本质、目标设定及其具体应用分析国外咨询公司因素识别应用预见性方法;俄罗斯RZD、Gazprom和Rosatom公司企业前瞻性应用实践述评找出并论证国内企业最有效的预测方法。作者采用了一般的逻辑和特殊的研究方法,系统和结构功能的研究方法。这项研究的基础是发表在俄罗斯和外国期刊上的科学论文、俄罗斯主要期刊上的出版物、规范性法律文件以及俄罗斯银行、国际咨询公司等的数据。本文致力于在俄罗斯公司中使用前瞻性方法进行预测和战略规划的前景和可能性。确定了可用于制定国内公司数字化转型战略的最有效的预测方法。技术预测的复杂性也源于数字经济环境的高度不确定性,这一点在作者分析众多分析和咨询公司预测数据的背景下得到了证实。从对全球物联网市场规模估计的例子中可以看出,计算指标的方法存在显著差异,分析师的观点存在显著差异,从3003亿美元到2021年的11862亿美元(从752.8亿美元到2020年的7404.7亿美元)。在高度不确定的数字环境中,企业前瞻是一种战略技术前瞻工具,对工业4.0技术市场发展和其他社会经济过程的预测不可靠,这对制定数字化转型战略至关重要。
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