Intelligent Operations and Public Relations Collaborative Management Model for Corporate Image Enhancement in the Smart Manufacturing Environment

Wusheng Gao

doi:10.70393/6a6374616d.333632

OPEN ACCESS |Research Article ||5 January 2026

Intelligent Operations and Public Relations Collaborative Management Model for Corporate Image Enhancement in the Smart Manufacturing Environment

Wusheng Gao

Zhejiang Weiguo Electric Co., Ltd.

wushengao99@outlook.com

Operations Department, Zhejiang Weiguo Electric Co., Ltd., Wenzhou, China.

* Corresponding Author¹: Wusheng Gao, E-Mail: wushengao99@outlook.com

Publication

Accepted 2025 December 26 ; Published 2026 January 5

Journal of Computer Technology and Applied Mathematics, 2026, 3(1), 3007-4126.

Abstract

The article focuses on intelligent operational relationships in an innovative manufacturing environment, primarily through the integration of PR strategy. A key focus is on enhancing SMEs' image. Using advanced technologies such as AIoT and data analytics, the article analyzes how optimizing production processes and predicting related demand, along with effective public relations management, can ensure the successful expansion and promotion of these innovations, thereby strengthening corporate trust and brand management. The article also mentions how integrating intelligent operations with public relations can improve operational efficiency and brand awareness, ultimately boosting sales. Furthermore, the article highlights the crucial role of AI tools in media sentiment analysis and related management functions. It explains how data-driven decision support systems can help companies improve crisis management, optimize tools, and enhance brand image.

Keywords

Metadata

DOI:

10.70393/6a6374616d.333632

ARK:

ark:/40704/JCTAM.v3n1a04

Pages: 28-34

References: 12

Disciplines: Computer Application Technology

Subjects: Human-Computer Interaction

Cite This Article

APA Style

Gao, W. (2026). Intelligent operations and public relations collaborative management model for corporate image enhancement in the smart manufacturing environment. Journal of Computer Technology and Applied Mathematics, 3(1), 28-34. https://doi.org/10.70393/6a6374616d.333632

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

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PUBLISHER'S NOTE

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