Research on Optimization Measures for Unified Project Management in the Context of Digital Transformation of Research Institutions

DOI

10.2991/978-94-6463-656-7_17How to use a DOI?

Keywords

Research Institutions; Digital Transformation; Unified Project Management; Artificial Intelligence; Data-driven Decision-making

Abstract

The digital transformation places higher demands on enterprise project management. In the wave of digital transformation, research institutions actively respond to national strategies, promote the digitalization of research institutions, and strive to build a unified project management center to improve the efficiency of project management.

This paper focuses on the construction of a unified project management center within research institutions, exploring how digital transformation profoundly impacts various aspects of project management, including technology application, business models, operational processes, and user experience. Through a literature review, combined with the current state of unified project management center construction in research institutions, it reveals the challenges faced by research institutions in unified project management, such as uneven system application, insufficient core system design, process discontinuities, and compliance issues. In response to these challenges, this paper proposes a series of optimization measures aimed at leveraging emerging technologies such as artificial intelligence and big data analytics. These measures include data integration, process automation, compliance monitoring, business collaboration enhancement, intelligent early warning systems, AI-assisted decision-making, mobile office and remote collaboration, as well as training and knowledge management, to enhance the efficiency and quality of project management. These measures not only help achieve visibility, connectivity, and compliance throughout the project lifecycle but also improve decision quality and strengthen project collaboration capabilities.

Compared with existing studies, this paper not only approaches the topic from a technical perspective but also advances the application of digital transformation in research project management through system optimization and process reengineering. This provides new insights into both the theory and practice of project management. This research argues that by implementing these optimization measures, research institutions will be more effectively able to seize the opportunities presented by digital transformation, accelerate technological innovation, enhance management capabilities, and increase core competitiveness, thereby making greater contributions to national scientific progress and social development.

Copyright

© 2025 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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TY  - CONF
AU  - Baoliang Zhang
AU  - Yinghui Xu
AU  - Dazhong Wang
AU  - Yuan Jiang
PY  - 2025
DA  - 2025/02/28
TI  - Research on Optimization Measures for Unified Project Management in the Context of Digital Transformation of Research Institutions
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 169
EP  - 183
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_17
DO  - 10.2991/978-94-6463-656-7_17
ID  - Zhang2025
ER  -