Date of Award

2025

Degree Type

Thesis

Degree Name

Doctor of Business Administration (DBA)

Abstract

全球数字经济加速演进的背景下，大模型技术（如ChatGPT、DeepSeek）完成规模化部署应用，触发智能算力与跨产业数字技术的全面聚合浪潮，新一轮科技革命与产业变革正以空前速度重塑国际竞争格局，传统商业园区作为区域经济体系关键枢纽，面临能力衰退、基建滞后、路径迷失等复合难题，无法完成数字化转型的载体，必将在产业调整浪潮中退出竞争。园区智能化升级是技术演进过程，亦是治理模式、资源配置与利益格局的全维度重构，转型实践牵涉多维架构调整与主体协同联动，地方政府、资产持有者、运营机构、入驻企业、科研单位、园区从业者及周边社群之间的战略适配与行动网络呈现明显断层，造成系统协作壁垒，实质性弱化园区应对技术冲击与捕捉数字红利的效率。

伴随《数字中国建设整体布局规划》等纲领文件持续深化落实，园区改革已从可选任务升级为战略刚需，研究聚焦OpenX@X数字平台运作机理，剖析其驱动传统园区智慧再造的核心逻辑，该平台集成大数据、人工智能、物联网等底层技术集群，搭建数字基础设施与协同操作系统，构筑园区突围跃升的技术赋能架构，结合系统动力学、层次分析法（AHP）与多主体需求理论，完整揭示OpenX@X平台精准赋能的适配路径，建立差异化转型方略，为各参与主体提供稳健、智能、可延展的数字化行动指南。

数字经济产业园区作为区域经济发展和产业升级核心载体，为系统性评估园区在多方利益相关方需求下的表现，本文采用层次分析法构建了数字经济产业园区指数评估模型。该模型通过整合政府、企业、投资者、居民/社区、科研院所、员工/人才、客户/市场七方的需求，建立了一个包含多级指标的评估框架。首先，我们根据多方需求理论，确定每个利益相关方的核心需求，并将其细化为具体的评估指标。在此基础上，利用层次分析法对各指标进行权重分配和一致性检验，最终生成综合指数。此外，系统动力学理论在本研究中被用来分

析不同利益相关方之间的动态关系和相互作用，以揭示各方需求如何在数字化转型过程中相互影响和制约。本文的方法为数字经济产业园区的多维度评估提供了标准化工具，有助于决策者和管理者全面了解园区在不同领域的表现，并据此制定优化策略。通过实证分析验证，该指数不仅有效反映了园区的整体发展水平，还为各方利益相关者提供了有价值的参考。

研究发现，OpenX@X平台有效解决传统园区技术应用、管理转型及人才培育等的结构性困境，借助智能管理单元、决策支持网络及开放协作体系实现全周期转型护航，平台的服务特性确保技术协同效率与资源配置优化，显著增强运营效益并激发区域经济动能，管理流程重塑困难程度及人才培养持续性等要素的连锁反应效应，为实践优化指明关键突破点。

本研究的结论为商业园区的数字化转型提供了重要的理论依据与实证支持，并为地方政府和企业管理者制定与实施有效的数字化战略提供了具体指导。通过探索OpenX@X平台的实践应用，并结合系统动力学的视角，本研究期望为未来商业园区的发展趋势提供前瞻性见解，并为学术界与实际操作领域贡献新的研究思路与实践路径。

Against the backdrop of the accelerated evolution of the global digital economy, large-scale model technologies (such as ChatGPT and DeepSeek) have been deployed and applied on a large scale, triggering a wave of comprehensive aggregation of intelligent computing power and cross-industry digital technologies. A new round of scientific and technological revolution and industrial transformation is reshaping the international competitive landscape at an unprecedented speed. As a key hub of the regional economic system, traditional commercial parks are facing complex problems such as declining capabilities, lagging infrastructure, and lost paths. They are unable to complete the carrier of digital transformation and will inevitably withdraw from the competition in the wave of industrial adjustment. The intelligent upgrade of the park is a process of technological evolution, as well as a full-dimensional reconstruction of the governance model, resource allocation, and interest pattern. The transformation practice involves multi-dimensional structural adjustments and coordinated linkage of the main bodies. The strategic adaptation and action network between local governments, asset holders, operating institutions, settled enterprises, scientific research units, park practitioners, and surrounding communities show obvious faults, resulting in system collaboration barriers and substantially weakening the efficiency of the park in responding to technological shocks and capturing digital dividends.

With the continuous deepening and implementation of programmatic documents such as the "Overall Layout Plan for the Construction of Digital China", park reform has been upgraded from an optional task to a strategic necessity. This study focuses on the operation mechanism of the OpenX@X digital platform and analyzes its core logic for driving the intelligent reconstruction of traditional parks. The platform integrates underlying technology clusters such as big data, artificial intelligence, and the Internet of Things, builds digital infrastructure and collaborative operating systems, and constructs a technical empowerment architecture for the park's breakthrough and leap. Combining system dynamics, hierarchical analysis method (AHP) and multi-agent demand theory, it fully reveals the adaptation path of the OpenX@X platform's precise empowerment, establishes a differentiated transformation strategy, and provides a robust, intelligent, and extensible digital action guide for all participating entities.

The Analytic Hierarchy Process (AHP) and multi-demand theory are employed in this research to analyze potential strategic advantages and disadvantages of transforming the OpenX@X platform. Specialized approaches are created by it in response to specific necessities of various stakeholders.

As a key part of industrial upgrading, digital economy industrial parks must build a system to evaluate the efficiency of multiple stakeholders. This paper develops a digital economy park index model based on the Analytic Hierarchy Process. It includes seven areas: government regulation, enterprise operations, capital flow, community ecology, research conversion, talent reserves, and market response. The model turns stakeholder needs into a measurable system, assigns weights, checks consistency, and creates a comprehensive evaluation index. By using a system dynamics model, the study examines the interactions and feedback among stakeholders. It also explains how demands are communicated and how resources are competed for during digital transformation. This tool offers a standard way to diagnose park performance, and tests show that the index accurately reflects park development levels, helping stakeholders make decisions.

As per their findings, the research highlights that the OpenX@X platform addresses crucial problems in conventional parks, such as implementing technology, changing management, and nurturing talent. With smart management tools, decision support networks, and open collaboration systems, it supports the entire transformation process. The platform’s multi-dimensional services improve technology coordination and resource allocation, boosting operational efficiency and driving regional economic growth. System dynamics simulations highlight the effects of factors like digital technology fit, management process changes, and talent development. These findings identify important areas for improvement.

Keywords

数字经济, 园区形态重构, 竞争力跃迁, 质性研究, 量化建模, Digital Economy, Park Form Reconstruction, Competitive Leap, Qualitative Research, Quantitative Modeling

Language

Chinese (Simplified)

Recommended Citation

戴继涛 (2025)。传统商业园区数字化转型升级中的挑战和对策 : 基于OpenX@X平台的实证研究 (博士論文，香港嶺南大學)。檢自 https://commons.ln.edu.hk/otd_tpg/55/

Download

Share

COinS