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Journal of Information Systems Engineering and Management

Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency
Luying Cheng 1 * , Xiaohan Zhang 2, Ziming Xu 3
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1 Lecturer, School of Business, Nanfang College Guangzhou, Guangzhou, China
2 Lecturer, School of Economics and Management, Weifang University of Science and Technology, Weifang, China
3 Teaching Assistant, School of Economics and Management, Weifang University of Science and Technology, Weifang, China
* Corresponding Author
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Research Article

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 25092
https://doi.org/10.55267/iadt.07.14080

Published Online: 27 Jan 2023

Views: 178 | Downloads: 159

Open Access
How to cite this article
APA 6th edition
In-text citation: (Cheng et al., 2023)
Reference: Cheng, L., Zhang, X., & Xu, Z. (2023). Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. Journal of Information Systems Engineering and Management, 8(1), 25092. https://doi.org/10.55267/iadt.07.14080
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Cheng L, Zhang X, Xu Z. Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. J INFORM SYSTEMS ENG. 2023;8(1):25092. https://doi.org/10.55267/iadt.07.14080
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Cheng L, Zhang X, Xu Z. Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. J INFORM SYSTEMS ENG. 2023;8(1), 25092. https://doi.org/10.55267/iadt.07.14080
Chicago
In-text citation: (Cheng et al., 2023)
Reference: Cheng, Luying, Xiaohan Zhang, and Ziming Xu. "Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency". Journal of Information Systems Engineering and Management 2023 8 no. 1 (2023): 25092. https://doi.org/10.55267/iadt.07.14080
Harvard
In-text citation: (Cheng et al., 2023)
Reference: Cheng, L., Zhang, X., and Xu, Z. (2023). Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. Journal of Information Systems Engineering and Management, 8(1), 25092. https://doi.org/10.55267/iadt.07.14080
MLA
In-text citation: (Cheng et al., 2023)
Reference: Cheng, Luying et al. "Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency". Journal of Information Systems Engineering and Management, vol. 8, no. 1, 2023, 25092. https://doi.org/10.55267/iadt.07.14080
ABSTRACT
ERP integration influenced digital economy manufacturing in this study. The DEA-Malmquist method calculated the digital economy manufacturing integration contribution rate index. In China, the researchers targeted Beijing-Tianjin-Hebei, Greater Bay Area, and Changzhu Lake. Regional economic growth rose with manufacturing integration. Integration accelerates commerce, resource allocation, regional manufacturing, and digital economy growth. Integration boosts corporate and customer service accessibility, reports say. These regions experienced increasing client demand and innovation. Integration's diverse impact on economic growth differed by location due to economic structures and stages. To understand how digital economy and industrial integration maintain economic growth, ERP digitalization, government policies, digital infrastructure, and market rules must be investigated. The DEA-Malmquist regional digital economy manufacturing integrated latitude measurement model is crucial. The model and research benefit government and business strategy. This study boosts sector growth and long-term economic and industrial development by raising knowledge of regional digital economies and manufacturing integration.
KEYWORDS
Digital Economy Regional Economic Growth DEA-Malmquist ERP
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