B2C AND B2B PLATFORM MODEL-BASED DETERMINANTS OF RUSSIAN INDUSTRIAL COMPANIES’ STRATEGY CHOICES FOR ENTERING FOREIGN MARKETS

Author:

Ilkevich S. V.1ORCID

Affiliation:

1. Financial University under the Government of the Russian Federation (Moscow, Russia)

Abstract

The article presents an overview of a number of parameters and factors influencing the choice and formation of strategies for the entry of Russian industrial enterprises into international markets based on platform models of interaction in the B2C and B2B segments. This focus makes it possible to define and specify in more detail the mechanisms, formats, opportunities and limitations in the development of strategies for the entry of Russian industrial enterprises into international markets, supported by platform models of interaction. In the context of building international platforms for industrial companies, aspects of the specifics of platform interaction have been identified. A list of twelve determinants is proposed, how to choose a strategy of entering foreign markets by Russian industrial enterprises based on the mechanisms of platform interactions. The fact is that in the current conditions of the platform economy, value creation is the result of a new combination of information, physical products and services of various types, as well as new ways of configuring transactions and reconfiguring resources, relationships between suppliers, partners and customers. For Russian industrial enterprises, methodological developments in this area can be particularly useful in the context of increasing the internationalisation of business activities using international B2C and B2B platforms. At the same time, a major difficulty in determining the parameters and priorities of platform interaction between industrial companies, especially in the B2B segment (including in the framework of industrial asset sharing models), is the fact that this type of interaction is still a frontier today in many industrial sectors at the national level, and even more so at the international level. As best practices and success stories of Russian industrial companies entering international platforms emerge, and as the platforms themselves evolve, it will be possible to talk about greater operationalisation and measurability of the determinants of Russian industrial companies’ strategy choices. At the current stage of development of international manufacturing platforms, greater awareness of the productivity drivers and determinants of industrial enterprises’ strategic choices will enable platform complementors and the platforms themselves to better find common ground and ensure faster growth of network effects.

Publisher

Real Economy Publishing

Reference27 articles.

1. Morozenkova O.V. (2019). Prospects for the development of Russian exports of non-primary non-energy goods in new markets. Russian Foreign Economic Bulletin, 9: 44-60. (In Russ.)

2. Trachuk A.V., Linder N.V., Tarasov I.V., Nalbandian G.G., Khovalova T.V., Kondratyuk T.V., Popov N.A. (2018). Transformation of industry in the conditions of the Fourth Industrial Revolution: A monograph. St. Petersburg, Real’naya ekonomika. (In Russ.)

3. Adner R. (2017). Ecosystem as structure: An actionable construct for strategy. Journal of Management, 43(1): 39-58.

4. Benitez G.B., Ghezzi A., Frank A.G. (2023). When technologies become Industry 4.0 platforms: Defining the role of digital technologies through a boundary-spanning perspective. International Journal of Production Economics, 260: 108858. https://doi.org/10.1016/j.ijpe.2023.108858.

5. Das A., Dey S. (2021). Global manufacturing value networks: assessing the critical roles of platform ecosystems and Industry 4.0. Journal of Manufacturing Technology Management, 32(6): 1290-1311.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3