为海湾国家定制了首个公共部门AI采纳指数，结合理论与实证。
From Vision to Validation: A Theory- and Data-Driven Construction of a GCC-Specific AI Adoption Index
- 基于文献与六国战略构建理论框架，融合203份问卷数据
- 技术基建与政策指令影响最强，解释70%的AI实施差异
- 适合政策制定者评估与推动区域AI协同发展
人工智能正快速重塑全球公共部门流程，但现有评估体系常忽略海湾合作委员会（GCC）国家的独特驱动因素、治理模式与文化特征。本研究基于对文献综述及六份国家人工智能战略的深度分析，结合203名中高级政府人员的调查数据，运用K-Means聚类、主成分分析与偏最小二乘结构方程模型等统计方法，构建并验证了一个专为GCC公共部门设计的AI采纳指数。结果表明，强大的技术基础设施与明确的政策指令对成功实施具有最强影响力，甚至超过组织准备度；综合模型可解释70%的AI成效方差，说明资源丰富环境与自上而下的政策推动能加速但不均衡地推进技术部署。通过整合技术基础设施（TI）、组织准备度（OR）与治理环境（GE）三大维度，该指数提供了一个兼顾全局与情境的工具，用于衡量公共部门AI成熟度。研究成果为政策制定者优化资源配置、协调跨国合作、推动能力建设提供了行动依据，助力GCC地区乃至更广泛范围的可持续AI转型。
原文摘要 · Abstract (English)
Artificial intelligence (AI) is rapidly transforming public-sector processes worldwide, yet standardized measures rarely address the unique drivers, governance models, and cultural nuances of the Gulf Cooperation Council (GCC) countries. This study employs a theory-driven foundation derived from an in-depth analysis of literature review and six National AI Strategies (NASs), coupled with a data-driven approach that utilizes a survey of 203 mid- and senior-level government employees and advanced statistical techniques (K-Means clustering, Principal Component Analysis, and Partial Least Squares Structural Equation Modeling). By combining policy insights with empirical evidence, the research develops and validates a novel AI Adoption Index specifically tailored to the GCC public sector. Findings indicate that robust technical infrastructure and clear policy mandates exert the strongest influence on successful AI implementations, overshadowing organizational readiness in early adoption stages. The combined model explains 70% of the variance in AI outcomes, suggesting that resource-rich environments and top-down policy directives can drive rapid but uneven technology uptake. By consolidating key dimensions (Technical Infrastructure (TI), Organizational Readiness (OR), and Governance Environment (GE)) into a single composite index, this study provides a holistic yet context-sensitive tool for benchmarking AI maturity. The index offers actionable guidance for policymakers seeking to harmonize large-scale deployments with ethical and regulatory standards. Beyond advancing academic discourse, these insights inform more strategic allocation of resources, cross-country cooperation, and capacity-building initiatives, thereby supporting sustained AI-driven transformation in the GCC region and beyond.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。