AI adoption and diffusion in public administration: A systematic literature review and future research agenda

Madan, Rohit; Ashok, Mona

doi:10.1016/j.giq.2022.101774

Cited by 86 publications

(40 citation statements)

References 74 publications

(92 reference statements)

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“…AI-powered sensors and drones can collect real-time data on air and water quality, biodiversity, and land use, enabling more informed decision-making and targeted interventions to address environmental challenges (Melo et al, 2020) [1]. RPA can complement these efforts by automating data processing and analysis tasks, freeing up human resources for more strategic and value-added activities (Fernandez et al, 2020) [12].…”

Section: Ec-2024-1120 Fig 3: An Overview Of the Methodology For Intro...mentioning

confidence: 99%

“…Despite its potential benefits, the widespread adoption of RPA in smart cities faces several challenges. Concerns related to job displacement, workforce reskilling, and organizational resistance to change are significant barriers that must be overcome (Fernandez et al, 2020). Moreover, ensuring the security and integrity of RPA systems is essential to mitigate the risk of cyber threats and data breaches (Bengtsson et al, 2018) [7].…”

Section: Literature Reviewmentioning

confidence: 99%

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Empowering Smart Cities with AI and RPA: Strategies for Intelligent Urban Management and Sustainable Development

Venigandla,

Vemuri,

Nnamere Aneke

2024

int.jour.sci.res.mana

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This research explores the transformative potential of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in empowering smart cities to achieve intelligent urban management and sustainable development. Through a comprehensive analysis of literature, case studies, and qualitative research methods, the paper identifies key strategies for leveraging AI and RPA to address urban challenges and promote sustainable urban development. The integration of AI and RPA technologies enables data-driven decision-making processes, streamlines administrative workflows, and enhances service delivery in smart cities. Furthermore, AI and RPA contribute to promoting sustainable development goals by optimizing resource utilization, improving environmental management practices, and enhancing resilience to climate change. However, the widespread adoption of AI and RPA in smart cities faces challenges related to privacy, data security, and equity, which must be carefully addressed to ensure responsible and equitable deployment of these technologies. By adopting comprehensive strategies, fostering collaboration between stakeholders, and embracing a culture of innovation, cities can harness the full potential of AI and RPA to build smarter, more resilient, and sustainable urban environments for all residents. This research provides valuable insights for policymakers, urban planners, and technology providers seeking to leverage AI and RPA to address urban challenges and promote sustainable development in smart cities.

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Section: Ec-2024-1120 Fig 3: An Overview Of the Methodology For Intro...mentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Empowering Smart Cities with AI and RPA: Strategies for Intelligent Urban Management and Sustainable Development

Venigandla,

Vemuri,

Nnamere Aneke

2024

int.jour.sci.res.mana

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“…Pertaining to the current where both entities contribute to decision-making endeavors. Presently, AI's deployment within organizations not only refines decision-making, efficiency, and precision but also bolsters customer experiences and cultivates opportunities for personnel skill development (Madan & Ashok, 2023). Elbaz et al, (2020) further underscore that AI is reshaping organizational decision-making paradigms at an accelerated pace.…”

Section: Diffusion Of Artificial Intelligence (Ai) Theorymentioning

confidence: 99%

The Role of Artificial Intelligence on the Public Energy Sector Performance in the United Arab Emirates: The Mediation Role of Organizational Agility

Alshamsi,

Hussain,

Ali

2024

J. of Law and Sust. Develop.

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Purpose: This paper presents an in-depth analysis of the interaction between Artificial Intelligence (AI), organizational agility, and performance within the UAE's public energy sector. It explores the transformative role of AI in this context and the critical importance of organizational agility in determining outcomes in the energy field. Design/methodology/data analysis: The methodology employed in this study is a cross-sectional survey design, with data collected from 245 managers across various public energy companies in the UAE. The survey instrument measured variables pertaining to AI, such as Customer Relationship Management and Cost-efficient IS Operations, and facets of organizational agility, including Responsiveness and Competency, as well as overall Organizational Performance. Findings: The study's findings reveal a significant direct impact of AI on organizational performance, which is further enhanced by the presence of organizational agility. The data indicates that AI's integration within Customer Relationship Management and Cost-efficient IS Operations positively affects performance. Additionally, organizational agility through its components of Responsiveness and Competency serves as a significant intermediary, amplifying the influence of AI on performance. Originality/value: The research is grounded in the Process Theory of Change, the Diffusion of AI Theory, and the Resource-Based View Theory, providing a solid theoretical base for its exploration. It offers a nuanced understanding of the combined impact of AI and organizational agility on the public energy sector's performance. Practical implications: The paper concludes with a conceptual framework that encapsulates these relationships, providing stakeholders with a comprehensive view of the interdependencies between AI, agility, and performance. It stresses the imperative for a strategic embrace of AI and organizational agility to foster resilience, adaptability, and sustainable advancement in the UAE's public energy sector. The insights from this paper guide future strategic orientations, emphasizing the integration of technological innovation with agile organizational practices as a pathway to enhanced performance and sectoral leadership.

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“…Variability of accessibility and convenience by demographic characteristics -age, education, and income -also has been well understood in the literature, revealing that technology-savvy, younger, and more affluent enjoying much greater success in leveraging digital services effectively [12], [13]. Conversely, access and comprehension barriers among older, lesser educated, and less socio-economically well-off are much more significant, emphasizing the need for inclusive strategies to cater to the broad needs of the citizenry.…”

Section: B Digital Service Accessibility Impact On Citizen Satisfactionmentioning

confidence: 99%

Digital Empowerment in Vietnam: How Public Sector Innovation Boosts Citizen Satisfaction

Hien

2024

Arch. Sci.

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This research delves into the transformative potential of digital innovation in the public sector, particularly in Vietnam, and its profound implications for enhancing citizen satisfaction and trust. This is a pivotal moment with significant implications. The global shift towards digitalizing government operations hinges on how these investments and initiatives reshape public perceptions and usage of government services. Our empirical exploration of the relationships among public awareness of digital transformation, digital services accessibility and convenience, digital services quality, citizen satisfaction, and citizen trust, using SEM analysis, reveals a promising model fit. The results indicate that increased public awareness, enhanced digital services accessibility and convenience, and improved perceived digital services quality all contribute to and significantly predict higher citizen satisfaction and trust levels. These findings underscore the multi-dimensional nature of the digital transformation of the public sector and its potential to foster efficiency, participation, satisfaction, and trust among citizens. This research enriches the digital governance literature and offers practitioners, scholars, and policymakers valuable insights. The message is clear: Strive for digital transformation strategies beyond surface-level changes. They should be comprehensive regarding user-centric service design and delivery, transparent communication, and continuous improvement. This approach holds the promise of reaping the benefits of efficiency and improved citizen-government relations.

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AI adoption and diffusion in public administration: A systematic literature review and future research agenda

Cited by 86 publications

References 74 publications

Empowering Smart Cities with AI and RPA: Strategies for Intelligent Urban Management and Sustainable Development

Empowering Smart Cities with AI and RPA: Strategies for Intelligent Urban Management and Sustainable Development

The Role of Artificial Intelligence on the Public Energy Sector Performance in the United Arab Emirates: The Mediation Role of Organizational Agility

Digital Empowerment in Vietnam: How Public Sector Innovation Boosts Citizen Satisfaction

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