The dynamics of AI capability and its influence on public value creation of AI within public administration

Government Information Quarterly, Journal Year: 2023, Volume and Issue: 40(4), P. 101860 - 101860

Published: Aug. 18, 2023

Artificial Intelligence (AI) technologies in public administration are gaining increasing attention due to the potential benefits they can provide improving governmental operations. However, translating technological opportunities into concrete value for administrations is still limited. One of factors hindering this progress lack AI capability within organisations. The research found that various components essential successfully developing and using technologies, including tangible, intangible, human-related factors. There a distinction between develop implement with more capable former but finding difficulties latter. A in-house technical expertise maintain update systems, legal challenges deploying developed introduce changes organisation ensure system remains operational used by relevant end-users among most critical limiting long-term use administrations. underlines strong complementarity historical eGovernment developments deploy technologies. study suggests funding alone may not be enough acquire capability, need focus on both emphasizes human skillsets, non-technical, successful implementation administration.

Language: Английский

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Too much light blinds: The transparency-resistance paradox in algorithmic management

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 161, P. 108403 - 108403

Published: Aug. 10, 2024

Language: Английский

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Managing with Artificial Intelligence: An Integrative Framework

Academy of Management Annals, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Managing with artificial intelligence (AI) refers to humans' interaction algorithms performing managerial tasks in organizations. Two literatures exploring this interaction—human-AI collaboration (HAIC) and algorithmic management (AM)—have focused on distinct tasks: while HAIC examines executive decision-making, AM focuses control. This article presents a review of both identify opportunities for integration advancement. We observe that HAIC's AM's micro-level emphases different have resulted diverging conceptualizations context, agency, interaction, outcome. Adopting more encompassing systems lens, we unveil previously concealed linkages between AM, suggesting the two analyzed sides same phenomenon: explores how humans use AI manage, describes are managed by AI. develop an integrative framework elevates viewpoint from organizational individual collective local systemic multilevel outcomes. By employing framework, lay foundations perspective managing

Language: Английский

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Whether AI adoption challenges matter for public managers? The case of Polish cities

Government Information Quarterly, Journal Year: 2023, Volume and Issue: 40(3), P. 101828 - 101828

Published: March 30, 2023

Language: Английский

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The challenges of AI implementation in the public sector. An in-depth case studies analysis

Published: July 10, 2023

Time is now mature for researching AI implementation in the public sector, creating knowledge from real-life settings. The current paper goes this direction, aiming to explore challenges organizations face implementing AI. research has been conducted through eight in-depth case studies of solutions. As a theoretical background, we relied on framework proposed by Wirtz et al. [36] that identified four classes challenges: Society, Ethics, Law and Regulations, Technology Implementation. Our results first confirm importance challenges. Second, they highlight need add fifth class challenges, i.e., Organizational change. In fact, are facing important settling solutions daily operations, practices, tasks, etc. Finally, five have discussed, including more detailed insights extracted coding cases.

Language: Английский

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How do citizens perceive the use of Artificial Intelligence in public sector decisions?

Government Information Quarterly, Journal Year: 2023, Volume and Issue: 41(1), P. 101906 - 101906

Published: Dec. 29, 2023

Language: Английский

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Exploring cross-national divide in government adoption of artificial intelligence: Insights from explainable artificial intelligence techniques

Telematics and Informatics, Journal Year: 2024, Volume and Issue: 90, P. 102134 - 102134

Published: May 3, 2024

Language: Английский

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Province of Origin, Decision‐Making Bias, and Responses to Bureaucratic Versus Algorithmic Decision‐Making

Public Administration Review, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

ABSTRACT As algorithmic decision‐making (ADM) becomes prevalent in certain public sectors, its interaction with traditional bureaucratic (BDM) evolves, especially contexts shaped by regional identities and biases. To explore these dynamics, we conducted two survey experiments within traffic enforcement scenarios, involving 4816 participants across multiple provinces. Results indicate that non‐native residents perceived ADM as fairer more acceptable than BDM when they did not share a province of origin local bureaucrats. Both native showed preference for the presence biases but preferred such were absent. When coexisted, lack shared further reinforced residents' perception BDM. Our findings reveal complex interplay among origin, biases, responses to different approaches.

Language: Английский

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Designing service blueprint for chatbots: experimental evidence on public preference for design components

Journal of Chinese Governance, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: April 4, 2025

Language: Английский

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Renewable energy and the path to carbon neutrality: a data-driven study on sustainability impact

International Journal of Energy Sector Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Purpose This study aims to investigate foreign investment’s mediating role in advancing sustainability transitions into carbon neutrality promote the adoption of renewable technologies. work also reveals obstacles standing way transitioning energy on a large scale, such as how expensive renewables tend be upfront, volatility new tech solutions and limitations existing infrastructure. Design/methodology/approach was conducted through structured survey stakeholders emerging economies, which examines links among penetration, direct investment (FDI), neutrality. constructs dataset from primary-source data obtained by surveying (government representatives, regional power companies environmental organizations), using questionnaire. approach used adoption, FDI, along government policies. The authors received total 383 responses. hypotheses being debated were empirically tested statistical analysis SPSS. Findings suggest positive effect uptake neutrality, where FDI becomes an important factor only when supported In addition, is constrained absence proper infrastructure governance. results highlight necessity differentiated policy frameworks stimulate align with reduction targets. To better understand dynamics transitions, future research needs focus improving data, especially terms variables that cannot derived publicly available sources or do not allow for inter-temporal international comparisons. Originality/value contributes two ways. First, this original pertinent contribution academic literature, it uses diffusion innovation theory giving precise associations factors block innovative technological systems. Second, suggests practical investor options illuminating respective roles versus policies facilitating transition broader goals.

Language: Английский

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