The Role of Artificial Intelligence Technology in Predictive Risk Assessment for Business Continuity: A Case Study of Greece

Risks, Journal Year: 2024, Volume and Issue: 12(2), P. 19 - 19

Published: Jan. 23, 2024

This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk assessment and their contribution to ensuring business continuity. research aimed understand how different AI components, such as natural language processing (NLP), AI-powered data analytics, AI-driven maintenance, integration incident response planning, enhance support continuity an environment where businesses face a myriad risks, including disasters, cyberattacks, economic fluctuations. A cross-sectional design quantitative method were used collect for this from sample 360 technology specialists. The results show that have major impact on assessment. Notably, it was discovered NLP improved accuracy speed procedures. into plans particularly effective, greatly decreasing company interruptions improving recovery unforeseen events. It is advised invest skills, fields automated assessment, analytics prompt detection, maintenance operational effectiveness, AI-enhanced planning crisis management.

Language: Английский

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Data-driven Technology, Organizational Structure, and Interdepartmental Data Sharing: The Case of Government-led Digital Projects in Guangzhou

Chinese Political Science Review, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Language: Английский

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A consumer acceptance model in the artificial intelligence era

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 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).

Language: Английский

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Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 126 - 126

Published: Jan. 24, 2025

Background Artificial Intelligence (AI) is at the forefront of today’s technological revolution, enhancing efficiency in many organisations and sectors. However, some research environments, its adoption tempered by risks AI poses to data protection, ethics, integrity. For funding (RFOs), although there interest application boost productivity, also uncertainty around AI’s utility safe integration into organisational systems processes. The scoping review explored: ‘What does evidence say about current emerging use AI?’; ‘What are potential benefits for RFOs?’ considerations Methods A was undertaken with no study, language, or field limits. Due rapidly evolving field, searches were limited last three years (2022-2024). Four databases searched academic grey literature February 2024 (including 13 professional organisation websites). classification framework captured potential, RFOs. Results 122 eligible articles revealed that solutions could potentially benefit RFOs processes, administration, insights, operational management, strategic decision-making. These ranged from algorithms management platforms, frameworks, guidelines, business models. several need be addressed before can successfully integrate (e.g., improving quality, regulating ethical use, science training). Conclusion While a breadth AI-driven improve operations, decision-making assess ‘AI readiness’. Although advances solution address accountability, governance societal impact, landscape.

Language: Английский

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Public Administration 5.0: Enhancing Governance and Public Services with Smart Technologies

International Journal For Multidisciplinary Research, Journal Year: 2024, Volume and Issue: 6(4)

Published: Aug. 14, 2024

This integrative literature review examines the transformative impact of advanced technologies, particularly artificial intelligence (AI), Internet Things (IoT), and blockchain, on public administration. It addresses urgent need for enhanced operational efficiency transparency through AI-driven decision-making. The study reviews current to highlight AI's potential revolutionize service delivery, improve smart city initiatives, enable data-driven policy-making. Significant challenges such as data privacy, algorithmic transparency, ethical considerations are also identified. methodology involves a comprehensive scholarly articles, reports, academic publications, focusing AI applications in administration technologies. analysis reveals notable improvements due AI, alongside concerns about biases, implementation issues. findings confirm but emphasize necessity ongoing supervision, regular audits, development models capable detecting rectifying anomalies. proposes creating positions Public Administration Ethics Officers (PAAIEOs), Data Transparency Managers (PADTMs), Predictive Analytics (PAPAOs) ensure responsible utilization, maintaining integrity services while addressing challenges. concludes that is promising transforming administration; however, careful crucial uphold resilience. Future research should prioritize longitudinal studies evaluate long-term impact, focus concerns, fair transparent integration These have significant implications practice policy, underscoring robust frameworks regulatory measures guide effective use

Language: Английский

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Potential impacts of population aging and artificial intelligence on households, living arrangements and sustainable development

China Population and Development Studies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

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Identifying Enablers and Barriers to Using Artificial Intelligence in Human Resource Management Practices

Published: Jan. 1, 2025

Language: Английский

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Text analytics for co-creation in public sector organizations: a literature review-based research framework

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(4)

Published: Feb. 5, 2025

Language: Английский

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AI-Driven Transformation in Public Governance

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 108

Published: Feb. 28, 2025

Artificial intelligence (AI) and advanced digital technologies are transforming public governance, leading to Public Administration 5.0. This new model enhances decision-making, services, citizen engagement through the analysis of real-time data in sectors like healthcare urban planning. While it offers opportunities for efficiency personalized AI integration also poses challenges, including algorithmic bias, transparency, privacy, workforce displacement. paper explores transition from 3.0 4.0 5.0, examining its potential risks. Through examples theoretical frameworks, demonstrates how fosters more responsive institutions while addressing ethical concerns implications maintain trust ensure equitable benefits all citizens.

Language: Английский

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Global Perspectives on AI Competence Development: Analyzing National AI Strategies in Education and Workforce Policies

Human Resource Development Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Advancements in artificial intelligence (AI) signal a significant shift toward more automated and data-driven workplaces, emphasizing the need for Human Resource Development (HRD) to prepare workforce with adequate AI competencies AI-empowered environments. policies initiatives play crucial role providing frameworks actions that guide HRD efforts. In this study, we analyzed education national strategies (NAISs) from 50 countries delineate educational policy priorities, strategies, support resources developing an AI-competent workforce. Our analysis revealed only 13 demonstrated high-level prioritization clear objectives comprehensive measures, primarily developed economies Europe. We identified six categories of training focused on talent preparation reskilling. Additionally, four types were highlighted as key investments enhance success these strategies. The findings have implications practice, particularly designing implementing AI-focused, workplace-oriented, inclusive curricula, programs, consider contextual cultural factors. results suggest further research explore emerging theories, models, pedagogical impact elements competency development.

Language: Английский

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