Exploring and Analyzing the Correlation Between Modern International Trade and Business English on Computer Software Analysis Systems
Vibhu Goel
Modern School, Vasant Vihar, Delhi
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http://doi.org/10.37648/ijtbm.v13i02.012
Abstract
This study investigates the correlation between modern international trade and the usage and proficiency of Business English, analyzed via computer software systems such as sentiment analysis tools, translation management systems (TMS), and content analysis platforms. Drawing on empirical studies from 2012 to 2021, we synthesize quantitative findings and apply comparative analysis. We explore how Business English facilitates trade, how ICT and translation tools impact trade flows, and reverse: how booming trade drives demand for Business English and software tools. The research is organized into four main sections: (1) English proficiency and international trade; (2) Role of ICT and analysis software; (3) Comparative analysis across contexts; (4) Software based business English analysis. Each section includes a table summarizing key studies and comparative dimensions. We conclude with implications for policy and business, and directions for future research.
Keywords: Computer Software Analysis; TMS; ICT; investigates; Trade and Business
References
- Brynjolfsson, E., Hui, X., & Liu, M. (2019). Does machine translation affect international trade? Evidence from a large digital platform. Management Science, *65*(12), 5449–5460. https://doi.org/10.1287/mnsc.2019.3388
- Chowdhury, M. S. A., & Roshid, M. M. (2024). Power dynamics in business English as a lingua franca discourse. Business and Professional Communication Quarterly, *87*(3), 432– 461. https://doi.org/10.1177/23294906241245678
- Liu, S. (2022). Emotional analysis of evaluation discourse in business English translation based on language big data mining in public health environment. Frontiers in Public Health, *10*, 981182. https://doi.org/10.3389/fpubh.2022.981182
- Pan, W., & Ibrahim, N. (2024). A pilot study: English language needs of the international trade salesmen. Open Journal of Social Sciences, *12*(6), 439–453. https://doi.org/10.4236/jss.2024.126023
- Subramani, N., Matton, A., Greaves, M., & Lam, A. (2020). A survey of deep learning approaches for OCR and document understanding. arXiv. https://doi.org/10.48550/arXiv.2011.13534
- Zhao, C. (2019). Study on business English practical teaching from the perspective of economic value. Scientific Research Publishing.