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Academic Journal of Humanities & Social Sciences, 2024, 7(5); doi: 10.25236/AJHSS.2024.070517.

Expression Strategies of Negative Information in Business English Communication

Author(s)

Angyou Jiang

Corresponding Author:
Angyou Jiang
Affiliation(s)

English Language Department, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, Selangor, 43400, Malaysia

Abstract

As global business activities significantly increase, English has become the most important international business communication language. In this context, effectively conveying negative information has become a challenge in business communication. The way of conveying negative information directly affects the cooperative relationship between enterprises, the business reputation of enterprises, as well as the effect of cross-cultural communication. Therefore, this paper intends to explore the expression strategies of negative information in business English communication. Then several effective strategies are proposed through the analysis and empirical research on the characteristics of negative information. The research results of this paper have practical significance and application value for enterprises and individuals who want to improve the efficiency of international business communication.

Keywords

Business English; Negative Information; Expression Strategy; Communication Effect; Cross-Cultural Communication

Cite This Paper

Angyou Jiang. Expression Strategies of Negative Information in Business English Communication. Academic Journal of Humanities & Social Sciences (2024) Vol. 7, Issue 5: 102-106. https://doi.org/10.25236/AJHSS.2024.070517.

References

[1] Zhang Wei. Research on the Teaching Reform of Business English Courses in Colleges and Universities under the Integration of Industry and Education [J]. Learning Weekly, 024, (07):33-36. DOI: 10.16657/j.cnki.issn1673-9132.2024.07.009.

[2] Zhang Ying. Cultivation of Cultural Awareness and Intercultural Communicative Competence in Business English Teaching [J].Knowledge Library, 2022, (07): 16-18. 

[3] Zhong K, Wang Y, Pei J, et al. Super efficiency SBM-DEA and neural network for performance evaluation [J]. Information Processing & Management, 2021, 58(6): 102728.

[4] Jan N, Gwak J, Pei J, et al. Analysis of networks and digital systems by using the novel technique based on complex fuzzy soft information[J]. IEEE Transactions on Consumer Electronics, 2022, 69(2): 183-193.

[5] Yu Z, Pei J, Zhu M, et al. Multi-attribute adaptive aggregation transformer for vehicle re-identification[J]. Information Processing & Management, 2022, 59(2): 102868.

[6] Li J, Li S, Cheng L, et al. BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System [J]. IEEE Transactions on Vehicular Technology, 2022, 71(11): 11421-11430.