Research on Overseas Technology Mergers and Acquisitions Based on Big Data Mining Technology

DOI

10.2991/978-94-6463-200-2_13How to use a DOI?

Keywords

Big data mining technology; Enterprise dual capability; Institutional environment; Cultural distance; Redundant resources; Enterprise ownership

Abstract

The dual ability of enterprises is the core competitiveness of enterprises. Faced with the weak innovation ability of enterprises, many enterprises have carried out overseas technology mergers and acquisitions to improve their technical ability. Based on CiteSpace visualization software, this paper makes a bibliometric analysis on the research results of overseas technology M&A, and carries out text mining on the influencing factors of overseas technology M&A according to the keyword co-occurrence network diagram and time zone diagram. It is found that overseas technology M&A improves the dual innovation ability of enterprises through the direct acquisition of technology and knowledge. However, the effect of the improvement of dual innovation capability on performance is still constrained by resources and institutions. Further, taking the overseas technology M&A events of Chinese listed companies as samples, this paper examines the influence of dual innovation capability on the innovation performance of enterprises and the moderating effects of institutional environment, cultural distance, redundant resources and corporate ownership in the process of overseas technology M&A. The results show that institutional environment, cultural distance, redundant resources and firm ownership all play a positive moderating role in the process of promoting the innovation performance of firms with dual competences.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ling Xu
PY  - 2023
DA  - 2023/07/26
TI  - Research on Overseas Technology Mergers and Acquisitions Based on Big Data Mining Technology
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 96
EP  - 107
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_13
DO  - 10.2991/978-94-6463-200-2_13
ID  - Xu2023
ER  -