Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)

2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)

📍Shenyang, China🗓️ 22-24 May 2026
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Research on Theories and Methods of Digital-Intelligent Service Operation Management

Authors
Yiyang Liu1, *
1Liaoning Technical University, Huluda, Liaoning, 125105, China
*Corresponding author. Email: 1003141890@qq.com
Corresponding Author
Yiyang Liu
Available Online 8 September 2026.
DOI
10.2991/978-94-6239-758-3_29How to use a DOI?
Keywords
Digital-Intelligent Services; Resource Allocation; Multi-Objective Optimization; Demand Forecasting; Platform Operation; Algorithmic Ethics; Emerging Technologies
Abstract

This paper focuses on resource allocation optimization in digital-intelligent service operation management, integrating operations research, economics, management, and information science to construct a “human-machine collaboration-spatio-temporal adaptation-responsibility closed-loop” paradigm addressing traditional theories’ limitations (lagging response, rigid constraints). It proposes an adaptive dynamic adjustment mechanism and multi-objective trade-off theory (indicator weights via AHP-entropy weight method), establishes an LSTM demand forecasting model and NSGA-II optimization algorithm, enriches theoretical/practical value via algorithmic ethics cases (successes, discrimination), analyzes real-scenario obstacles, and introduces quantitative effectiveness indicators. Additionally, it explores blockchain/IoT integration to enhance the paradigm, with macro empirical verification and micro case analysis confirming the theory/model significantly improves enterprises’ resource utilization and performance, providing guidance for digital-intelligent service enterprises1,3.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
8 September 2026
ISBN
978-94-6239-758-3
ISSN
2352-5428
DOI
10.2991/978-94-6239-758-3_29How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yiyang Liu
PY  - 2026
DA  - 2026/09/08
TI  - Research on Theories and Methods of Digital-Intelligent Service Operation Management
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 288
EP  - 294
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_29
DO  - 10.2991/978-94-6239-758-3_29
ID  - Liu2026
ER  -