Examining Value Creation in Public Sector AI Implementation DOI
Antonio Molin, Daniel Rudmark, Dina Koutsikouri

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 317 - 333

Опубликована: Янв. 1, 2024

Язык: Английский

LEVERAGING ARTIFICIAL INTELLIGENCE (AI) IN PUBLIC SECTOR FINANCIAL RISK MANAGEMENT: INNOVATIONS, CHALLENGES, AND FUTURE DIRECTIONS DOI
Mehdi Bouchetara, Messaoud Zerouti, Anaïs Radja Zouambi

и другие.

EDPACS, Год журнала: 2024, Номер 69(9), С. 124 - 144

Опубликована: Июль 16, 2024

Язык: Английский

Процитировано

11

A consumer acceptance model in the artificial intelligence era DOI
Paritosh Pramanik, Rabin K. Jana

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Purpose This paper identifies consumer acceptance criteria of artificial intelligence (AI)-enabled products and services in the business. We first investigate existing three models. They are technology model (TAM), unified theory use (UTAUT) (CAT). then discuss applicability these models for AI-enabled services. Finally, we outline shortcomings propose an product service (AIEPSAM). also validate proposed AIEPSAM with empirical results using primary survey data. Design/methodology/approach To understand customer’s point view on AI applications services, identify some critical factors present a conceptual framework consumers' based literature, prior research prominent management theories. Then, study broadens horizon beyond established principles associated to accommodate AI-specific factors/variables like data privacy, explainability apparent opacity algorithms. In this paper, that Findings argue although TAM, UTAUT CAT generally applicable explain attitudes towards technology, alone insufficient encompass entire spectrum AI-related issues must not be ignored. The model, namely AIEPSAM, accommodates limitations modifies make it suitable technology. Originality/value attempt articulate discover useful insights, leading examination formulating validation through is criticize TAM other but incorporate into those Through study, required modifications considering additional factors. will assist companies building better understanding emergence (TE) opportunities (TO).

Язык: Английский

Процитировано

2

An empirical investigation of users' switching intention to public service robots: From the perspective of PPM framework DOI
Tao Chen, Siqi Li, Zhongping Zeng

и другие.

Government Information Quarterly, Год журнала: 2024, Номер 41(2), С. 101933 - 101933

Опубликована: Апрель 12, 2024

Язык: Английский

Процитировано

6

Automation bias in public administration – an interdisciplinary perspective from law and psychology DOI Creative Commons

Hannah Ruschemeier,

Lukas J. Hondrich

Government Information Quarterly, Год журнала: 2024, Номер 41(3), С. 101953 - 101953

Опубликована: Июнь 22, 2024

Язык: Английский

Процитировано

5

Implications of Artificial Intelligence (AI) in the Hotel Industry DOI
Firoj Kabir,

Musfiqur Rahoman Khan,

Md. Nasir Mia

и другие.

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 357 - 378

Опубликована: Авг. 16, 2024

AI has significantly impacted the hospitality and tourism industries by revolutionizing various aspects of these sectors. Technology, particularly artificial intelligence, become integral in planning executing travel experiences. Maximum travelers now their trips online, role enhancing customer experiences streamlining operations is paramount. Integrating new technologies like catboats, messengers, robots elevated business to unprecedented levels. AI's influence extends intelligent mobile apps, Internet usage, innovative solutions blockchain big data analytics sector. Scholars industry professionals are actively exploring potential transform services, improve interactions, drive operational efficiencies within industries. This technological evolution reshaping how businesses operate improving customers' trip experience, marking a significant shift towards more tech-savvy efficient landscape.

Язык: Английский

Процитировано

4

Elevating E-Government: Unleashing the Power of AI and IoT for Enhanced Public Services DOI Creative Commons
Abdullah M. Al-Ansi, Askar Garad, Mohammed Jaboob

и другие.

Heliyon, Год журнала: 2024, Номер 10(23), С. e40591 - e40591

Опубликована: Ноя. 20, 2024

This study aims to explore how e-government services can be enhanced through the application of artificial intelligence (AI) and Internet Things (IoT). Specifically, it seeks identify key themes, trends, challenges, opportunities surrounding integration AI IoT technologies in e-government, with a focus on understanding their implications for service delivery, governance practices, citizen engagement. A systematic review approach was employed analyze scholarly articles published between 2014 2024, sourced from various academic databases. The encompassed studies exploring adoption, implementation, impact contexts. Content analysis, thematic synthesis, theoretical frameworks were utilized distill insights draw conclusions literature. analysis revealed several important findings regarding role enhancing services. Key themes identified include potential improve decision-making processes, optimize foster However, challenges such as data privacy concerns, ethical considerations, socioeconomic disparities access also identified. provides into evolving landscape digital offers practical recommendations policymakers practitioners. contributes existing literature by offering comprehensive adoption practices. It synthesizes diverse range articles, providing complexities transformation public sector. Theoretical principles models are elucidate administration governance. this hold significant value scholars, policymakers, practitioners interested By highlighting opportunities, informs evidence-based guides future research policy development field Ultimately, advancement knowledge practice leveraging enhance age.

Язык: Английский

Процитировано

4

Toward a person-environment fit framework for artificial intelligence implementation in the public sector DOI
Shalini Misra,

Benjamin Katz,

Patrick S. Roberts

и другие.

Government Information Quarterly, Год журнала: 2024, Номер 41(3), С. 101962 - 101962

Опубликована: Июль 29, 2024

Язык: Английский

Процитировано

3

Corporate distance education: challenges and opportunities in the Central-west region of Brazil DOI Creative Commons

Helio da Silva Taques Filho,

Juliane Ruffatto, Priscila Souza Rosa

и другие.

Revista de Gestão e Secretariado (Management and Administrative Professional Review), Год журнала: 2025, Номер 16(1), С. e4527 - e4527

Опубликована: Янв. 20, 2025

Corporate education in distance learning addresses the demands of advancing technology and rapid dissemination information, reshaping employee training, aligning knowledge skills, teaching-learning outcomes public organizations. This study explores challenges opportunities corporate modality within schools associated with Legislative, Executive, Judiciary branches Mato Grosso, Brazil. A qualitative research approach was employed, incorporating document analysis, non-participant observation, semi-structured interviews. total 15 interviews were conducted managers, educators, students, technicians, analysts from selected schools. Content analysis chosen methodology for interpreting data. The results revealed that pedagogical structuring is primary challenge, while effective planning represents main opportunity Grosso.

Язык: Английский

Процитировано

0

Unveiling civil servants' preferences: Human-machine matching vs. regulating algorithms in algorithmic decision-making——Insights from a survey experiment DOI
Huanhuan Li, Zenan Sun,

Jiacheng Xi

и другие.

Government Information Quarterly, Год журнала: 2025, Номер 42(1), С. 102009 - 102009

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0

Commentary—AI and Public Policy: Navigating the Possibilities and Limitations DOI
Ridwan Islam Sifat

Politics &amp Policy, Год журнала: 2025, Номер 53(1)

Опубликована: Фев. 1, 2025

ABSTRACT The integration of artificial intelligence (AI) has the potential to fundamentally transform policy‐making landscape, especially with emergence advanced technologies. This commentary discusses some key multifaceted implications AI in public policy, highlighting its revolutionize decision‐making processes, drive operational efficiency improvements, and enable more informed effective policy interventions. exploration also delves into formidable challenges constraints associated integration, encompassing issues related data bias, transparency concerns, ethical dilemmas surrounding privacy considerations, concerns about potentially dehumanizing decisions. It emphasizes a pressing need for well‐defined frameworks guidelines prioritizing dimensions while safeguarding security human judgment within analysis. I consider benefits integrating advocate nuanced approach that prioritizes enhancing good focusing on values standards. Related Articles Glen, C. M. 2021. “Norm Entrepreneurship Global Cybersecurity.” Politics & Policy 49, no. 5: 1121–1145. https://doi.org/10.1111/polp.12430 . Robles, P. D. J. Mallinson 2023. “Catching up With AI: Pushing Toward Cohesive Governance Framework.” , 51, 3: 355–372. https://doi.org/10.1111/polp.12529 Veloso Meireles, A. 2024. “Digital Rights Perspective: Evolution Debate Internet Forum.” 52, 1: 12–32. https://doi.org/10.1111/polp.12571

Язык: Английский

Процитировано

0