Issue |
SHS Web Conf.
Volume 132, 2022
Innovative Economic Symposium 2021 – New Trends in Business and Corporate Finance in COVID-19 Era (IES2021)
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Article Number | 01001 | |
Number of page(s) | 7 | |
Section | New Trends in Business and Corporate Finance in COVID-19 Era | |
DOI | https://doi.org/10.1051/shsconf/202213201001 | |
Published online | 05 January 2022 |
The Knowledge Based View of Embedding Strategy for Platforms Enterprises**
1 Business Management Department, 100144 Shijingshan Distinct, Beijing, China
2 Enterprise Management Intelligent Decision Research Centre, 100144 Shijingshan Distinct, Beijing, China
3 Department of Administration Management, School of Economics & Management, North China University of Technology, Beijing, China
* Corresponding author: chilqzj@163.com
Dialectically linking with heterogenous suppliers, manufacturers, consumers and resources, emerging e-commerce platforms achieve and maintain competitive advantage. Based on different levels of innovation network content and structure, YEATION and YOUPIN, two typical ecommerce platforms, adopt different strategies involving the promotion of value-seeking. Many decisions concern how companies perceive the innovation environment and how to engage in the innovation network. Knowledge base view provides useful theoretical lens to understand the network embedding approach for electric business platform enterprises. To put forward, enterprises with wide breadth should adopt structural strategy give priority to relational embeddedness, on the other hand, enterprises of which the depth of knowledge base is deep and width of insufficient shall adopt strategy give priority to the embedding of structure. It is also proposed that platform enterprises should not adopt a single embeddedness strategy but should adopt auxiliary embeddedness strategy in a timely manner.
Key words: network strategies for SMEs / competitiveness / innovation / value creation / stakeholders
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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