Actualizing artificial intelligence (AI) affordances in urban mobility organizations: a hierarchically interconnected perspective

IF 9.1 3区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Enterprise Information Management Pub Date : 2026-10-12 DOI:10.1108/jeim-03-2026-0416

Mingye Li,Alemayehu Molla,Sophia Duan

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引用次数: 0

Abstract

Purpose This study examines how urban mobility organizations, characterized by different ownership, distributed capabilities and inter-organizational dependencies, actualize artificial intelligence (AI) affordances across multiple organizational layers. Design/methodology/approach Drawing on affordance-actualization theory (AAT) as the primary theoretical lens, this qualitative study examines AI initiatives in Australian urban mobility. Data were collected from 20 semi-structured interviews conducted between 2021 and 2022, supplemented by documentary evidence and analyzed using an abductive logic in five iterative steps involving first-order coding, second-order categorization and aggregate conceptualization. Findings The findings suggest four hierarchically interconnected AI affordances: smartifying mobility infrastructure and asset management, optimizing transport operations, providing customized mobility services and promoting environmentally sustainable urban mobility. These affordances are hierarchically interconnected and conditionally enabled, where their actualization is contingent on recurring organizational practices (AI sensemaking, AI leadership and digital readiness) and constrained by data, system, governance and ecosystem conditions. Practical implications Managers should treat AI initiatives as interdependent rather than isolated projects by checking data, system, governance and decision conditions before pursuing service or sustainability applications. Originality/value The article contextually elaborates AAT by conceptualizing AI affordances as hierarchically interconnected but nondeterministic action potentials. It shows how AI value in urban mobility emerges through conditional enablement across infrastructure, operations, services and sustainability layers, and contributes to enterprise information management by explaining how data, systems, governance and ecosystem coordination shape interconnected AI-enabled value creation.

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在城市交通组织中实现人工智能（AI）功能：一个层次关联的视角

本研究探讨了以不同所有权、分布式能力和组织间依赖性为特征的城市交通组织如何跨多个组织层实现人工智能（AI）功能。设计/方法/方法以能力实现理论（AAT）为主要理论视角，本定性研究考察了澳大利亚城市交通中的人工智能举措。数据收集自2021年至2022年间进行的20次半结构化访谈，辅以文献证据，并使用溯因逻辑进行分析，分为五个迭代步骤，包括一阶编码、二阶分类和总体概念化。研究结果提出了四个层次上相互关联的人工智能功能：智能移动基础设施和资产管理，优化交通运营，提供定制的移动服务以及促进环境可持续的城市交通。这些功能在层次上相互关联，并有条件地实现，其实现取决于反复出现的组织实践（人工智能语义、人工智能领导力和数字化准备），并受到数据、系统、治理和生态系统条件的限制。实际意义在追求服务或可持续性应用之前，管理人员应该通过检查数据、系统、治理和决策条件，将人工智能计划视为相互依赖的项目，而不是孤立的项目。本文通过将AI可视性概念化为层次上相互关联但不确定的行动潜力，从而在背景下阐述了AAT。它展示了人工智能在城市交通中的价值是如何通过基础设施、运营、服务和可持续性层面的条件实现而出现的，并通过解释数据、系统、治理和生态系统协调如何形成相互关联的人工智能价值创造，为企业信息管理做出贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Enterprise Information Management Multiple-

CiteScore

14.80

自引率

6.20%

发文量

期刊介绍： The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.