Purpose

This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these capabilities on the organizational-level resources of dynamic capabilities and organizational creativity, ultimately influencing the overall performance of government organizations.

Design/methodology/approach

The calibration of artificial intelligence capabilities scale was conducted using a combination of qualitative and quantitative analysis tools. A set of 26 initial items was formed in the qualitative study. In the quantitative study, self-reported data obtained from 344 public managers was used for the purposes of refining and validating the scale. Hypothesis testing is carried out to examine the relationship between theoretical constructs for the purpose of nomological testing.

Findings

Results provide empirical evidence that the presence of artificial intelligence capabilities positively and significantly impacts dynamic capabilities, organizational creativity and performance. Dynamic capabilities also found to partially mediate artificial intelligence capabilities relationship with organizational creativity and performance, and organizational creativity partially mediates dynamic capabilities – organizational creativity link.

Practical implications

The application of artificial intelligence holds promise for improving decision-making and problem-solving processes, thereby increasing the perceived value of public service. This can be achieved through the implementation of regulatory frameworks that serve as a blueprint for enhancing value and performance.

Originality/value

There are a limited number of studies on artificial intelligence capabilities conducted in the government sector, and these studies often present conflicting and inconclusive findings. Moreover, these studies indicate literature has not adequately explored the significance of organizational-level complementarity resources in facilitating the development of unique capabilities within government organizations. This paper presents a framework that can be used by government organizations to assess their artificial intelligence capabilities-organizational performance relation, drawing on the resource-based theory.

中文翻译：

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人工智能能力、动态能力和组织创造力：阿拉伯联合酋长国政府组织绩效的影响因素

目的

本研究旨在利用基于资源的理论评估衡量人工智能能力的量表的有效性。它旨在研究这些能力对动态能力和组织创造力的组织级资源的影响，最终影响政府组织的整体绩效。

设计/方法论/途径

人工智能能力量表的校准采用定性和定量分析工具相结合的方式进行。定性研究中形成了一组 26 个初始项目。在定量研究中，使用从 344 名公共管理者获得的自我报告数据来完善和验证量表。进行假设检验是为了检验理论构造之间的关系，以达到法理检验的目的。

发现

结果提供了经验证据，表明人工智能能力的存在对动态能力、组织创造力和绩效产生积极而显着的影响。还发现动态能力部分调解了人工智能能力与组织创造力和绩效的关系，而组织创造力部分调解了动态能力-组织创造力的联系。

实际影响

人工智能的应用有望改善决策和解决问题的过程，从而提高公共服务的感知价值。这可以通过实施作为提高价值和绩效蓝图的监管框架来实现。

原创性/价值

政府部门对人工智能能力进行的研究数量有限，而且这些研究往往呈现出相互矛盾和不确定的结果。此外，这些研究表明文献没有充分探讨组织层面的互补性资源在促进政府组织内独特能力发展方面的重要性。本文提出了一个框架，政府组织可以利用基于资源的理论来评估其人工智能能力与组织绩效之间的关系。