Advances in Economics, Management and Political Sciences

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Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 37 , 10 November 2023


Open Access | Article

The Transformation of International Marketing Strategy under the Background of Big Data

Linzhu Li * 1
1 Guangdong country garden school

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 37, 107-111
Published 10 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Linzhu Li. The Transformation of International Marketing Strategy under the Background of Big Data. AEMPS (2023) Vol. 37: 107-111. DOI: 10.54254/2754-1169/37/20231848.

Abstract

The emergence of big data has brought many opportunities to all walks of life, but it also faces enormous challenges. In order to improve the competitive power of international trade, companies need to actively respond to the development trend of large data, the advantage of the characteristics of big data, raising the level of competition in international trade, improve the international marketing strategy, promote the all-round development of international trade and industry. With the technical support of big data, we can dig deep into data information, gain insight into consumers' buying behavior, and inject innovative power into the marketing of enterprises. Combining big data technology with a marketing strategy can also help enterprise marketers to adapt to the market development trend, collect data, analyze data, reduce risks, and enhance the quality of enterprise development. The advent of big data has brought about significant changes in the field of international marketing, forcing companies to adapt their marketing strategies to suit the new realities. This paper examines the challenges faced by international trade in the era of big data and explores how companies can transform their international marketing strategies to take advantage of the opportunities presented by this new technology. The paper concludes that companies that are able to harness the power of big data will be better positioned to compete in the global marketplace.

Keywords

big data, international trade, international marketing, international marketing strategy

References

1. Hollensen, S. (2019). Global Marketing: A Decision-Oriented Approach. Pearson Education.

2. Keegan, W. J., & Green, M. C. (2018). Global marketing. Pearson Education.

3. Kotler, P., & Armstrong, G. (2021). Principles of marketing (18th ed.). Pearson.

4. Stone, R. N., & DeNoble, A. F. (2018). International marketing. Routledge.

5. Czinkota, M. R., & Ronkainen, I. A. (2019). International Marketing. Cengage Learning.

6. Yip, G. S. (2018). Total global strategy. Routledge.

7. Chung, K. H., Cho, S. W., & Shin, J. I. (2020). The impact of big data on firms' internationalization strategies. Journal of Business Research, 107, 128-136.

8. Makridakis, S., & Wheelwright, S. C. (2018). Forecasting methods for management (7th ed.). John Wiley & Sons.

9. Nambisan, S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practice, 41(6), 1029-1055.

10. Prajogo, D. I., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522.

11. Wang, C. L., & Ahmed, P. K. (2007). Dynamic capabilities: A review and research agenda. International Journal of Management Reviews, 9(1), 31-51.

12. Wen, C. H., & Huang, H. C. (2017). The impact of big data on customer relationship management: A data-driven approach. Journal of Business Research, 70, 328-336.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-095-0
ISBN (Online)
978-1-83558-096-7
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/37/20231848
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated