REDECA Framework Enhancing Occupational Safety and Health Through Artificial Intelligence Applications DOI

Sheila Michiel,

Isabelle Moissact,

Christopher Sean

et al.

Safety and Health For Medical Workers, Journal Year: 2024, Volume and Issue: 1(2), P. 95 - 110

Published: July 10, 2024

Objective: This paper aims to show how REDECA Reengineering Delphi and Evaluation can be integrated with Artificial Intelligence (AI) in a way increase the influence of AI on Occupational Safety Health (OSH) by further advancing risk identification process, prevention injuries, compliance safety standards.Methods: A quantitative cross-sectional study method was used through multiple regressions analysis for relationships between application, identification, injury reduction, culture, compliance. Organizational culture explored as moderator influencing effectiveness OSH systems.Results: enhances prediction risk, resulting significant reduction workplace injuries fatalities. AI-enabled applications ensure higher adherence protocols helped building time-tested culture. In fact, organizational improves AI, serving vital moderating factor that facilitates lasting advancements practices. points relationship technological innovation influences better outcomes.Novelty: presents an original integration AI-driven predictive mechanisms framework, highlighting role serves bridge technology adoption behavior advance strategies.Research Implication: The findings provide roadmap organizations not just invest AI-based systems but also inculcate strong reap rewards technical advances. research sends message fostering transformative approach management, which sustainable improvements safety, mitigation employed well-being policymakers industry leaders.

Language: Английский

Can generative artificial intelligence productivity tools support workplace learning? A qualitative study on employee perceptions in a multinational corporation DOI
Tiziana C. Callari,

Lucia Puppione

Journal of Workplace Learning, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Purpose The purpose of this study was to explore employees’ perceptions and firsthand experiences the impact generative artificial intelligence (AI) productivity tools, specifically Microsoft 365 Copilot, on individual collective learning processes within a multinational corporation. In doing so, provides insights into how these tools can shape workplace dynamics, fostering both skill development collaborative knowledge-sharing practices. Design/methodology/approach authors collected responses from 357 participants through survey that included multiple-choice open-ended questions. This focuses exclusively qualitative responses. reflexive thematic analysis method used capture interpret role Copilot – AI-powered assistant integrated suite applications (e.g., Word, Excel, PowerPoint, Outlook, Teams) in enhancing their work opportunities workplace. Findings results highlight four key themes contributing learning. At level, Task Support illustrates extent which AI transform practices facilitate formal informal pathways, while Meaningful Work underscores tools’ foundational knowledge enriched information. organisational culture suggests importance supportive environment for integration, socialisation highlights its influence team cohesion essential effective collaboration among members. Practical implications offer actionable organisations integrating Understanding inform design targeted training programmes promote foster sharing. Furthermore, positions as complementary resource improve employee engagement, reduce resistance new technologies encourage growth-oriented mindset, ultimately driving personal development. Originality/value shifts narrative around by examining enhance at levels, rather than focusing solely potential disrupt displacement automation. By positioning AI-based human work, approach enablers development, sharing job enrichment, more adaptive learning-oriented environment.

Language: Английский

Citations

0
Change Management in Hospital Digital Transformation: Roadmap to Promote the Humanization and Efficiency Through Technology DOI
Juliana Basulo-Ribeiro, Alberto Freitas, Francisco Rocha‐Gonçalves

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Unmasking deepfakes: a multidisciplinary examination of social impacts and regulatory responses DOI Creative Commons
Sami Alanazi, S. A. Syed Asif,

Antoinette Caird-daley

et al.

Human-Intelligent Systems Integration, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Abstract This paper presents a comprehensive analysis of deepfake technology and its multifaceted impacts on society, privacy, trust, information integrity. Deepfakes, synthetic media generated using AI-powered algorithms, pose significant challenges to individual societal the integrity information. To explore these issues, we employed mixed-methods approach that included in-depth expert interviews with professionals from diverse fields such as law, ethics, artificial intelligence, cybersecurity, social sciences, along dichotomous question survey, which provided insights multiple perspectives. methodological facilitated multidimensional perspective potential risks benefits deepfakes. Our findings reveal unanimous concern among experts regarding profound implications deepfakes, particularly their capacity amplify disinformation, erode public inflict psychological harm individuals. Key themes identified include urgent need for robust regulatory frameworks, critical role literacy in enhancing resilience, varying deepfakes across different demographic groups. The consensus points out necessity an ethically guided development deployment technology, emphasizing importance interdisciplinary collaboration crafting effective policy responses. study advances ongoing discourse by providing stakeholders policymakers evidence-based recommendations aimed at mitigating associated harnessing benefits. These promote balanced informed navigating complexities this emerging technological challenge.

Language: Английский

Citations

0
Exploring human-robot interaction in remanufacturing: bibliometric insights DOI Creative Commons
Valentina De Simone, Valentina Di Pasquale,

Paola Farina

et al.

International Journal on Interactive Design and Manufacturing (IJIDeM), Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Abstract Human–robot interaction (HRI), in all its different variants, has gained significant attention industry. The combination of human skills and robotics significantly enhances manufacturing, improving operations quality efficiency. This is particularly relevant highly variable contexts like remanufacturing, which aims to preserve the value products components over time involves complex, non-standardized tasks such as inspection, disassembly, reprocessing, reassembly. Uncertainties related conditions remanufacture cannot be managed by pure automation making HRI beneficial. Although researchers have focused on use several fields application (from construction logistics), no extensive mapping research trends specifically addressed intersection remanufacturing contexts. To fill this gap, paper presents a comprehensive study based bibliometric analysis explore current state topic. Based 120 articles from Scopus database, points out main countries, authors, affiliations involved field. In addition, key topics were analyzed. A predominant focus, above last three years, Human-Robot Collaboration (HRC) among levels HRI, disassembly processes was highlighted, while other activities, reassembly, received comparatively less attention. An unexplored frontier integration Artificial Intelligence Machine Learning with HRC remanufacturing. These findings offer valuable insights for researchers, scholars, industrial professionals aiming advance

Language: Английский

Citations

0
Navigating Uncertainty: Exploring Consumer Acceptance of Artificial Intelligence Under Self-Threats and High-Stakes Decisions DOI Creative Commons
Darius‐Aurel Frank, Polymeros Chrysochou,

Panagiotis Mitkidis

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: unknown, P. 102732 - 102732

Published: Oct. 1, 2024

Language: Английский

Citations

3
Integration of Industry 5.0 and Eco-Innovation for Sustainable Manufacturing DOI
Jan Muhammad Sohu, Syed Mir Muhammad Shah,

Quswah Makhdoom

et al.

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 447 - 472

Published: Oct. 22, 2024

In the age of Industry 5.0 (I 5.0), manufacturing SMEs face critical challenge balancing technological advancement with environmental sustainability. This study explores intricate relationships between technologies—specifically Big Data Analytics and Artificial Intelligence (BDA-AI), Human-Robot Collaboration (HRC), Internet Things (IoT), sustainable practices in SMEs. Drawing on data from 466 across key industrial regions, we employ structural equation modeling to uncover transformative roles Eco-Innovation. Our findings reveal that Eco-Innovation (Eco-Inn) acts as a pivotal mediator, translating capabilities into enhanced performance (EP). breaks new ground by examining ethical implications within 5.0, offering insights its long-term sustainability impact. By integrating resource-based view theory, this research presents novel framework for digital era.

Language: Английский

Citations

0
REDECA Framework Enhancing Occupational Safety and Health Through Artificial Intelligence Applications DOI

Sheila Michiel,

Isabelle Moissact,

Christopher Sean

et al.

Safety and Health For Medical Workers, Journal Year: 2024, Volume and Issue: 1(2), P. 95 - 110

Published: July 10, 2024

Objective: This paper aims to show how REDECA Reengineering Delphi and Evaluation can be integrated with Artificial Intelligence (AI) in a way increase the influence of AI on Occupational Safety Health (OSH) by further advancing risk identification process, prevention injuries, compliance safety standards.Methods: A quantitative cross-sectional study method was used through multiple regressions analysis for relationships between application, identification, injury reduction, culture, compliance. Organizational culture explored as moderator influencing effectiveness OSH systems.Results: enhances prediction risk, resulting significant reduction workplace injuries fatalities. AI-enabled applications ensure higher adherence protocols helped building time-tested culture. In fact, organizational improves AI, serving vital moderating factor that facilitates lasting advancements practices. points relationship technological innovation influences better outcomes.Novelty: presents an original integration AI-driven predictive mechanisms framework, highlighting role serves bridge technology adoption behavior advance strategies.Research Implication: The findings provide roadmap organizations not just invest AI-based systems but also inculcate strong reap rewards technical advances. research sends message fostering transformative approach management, which sustainable improvements safety, mitigation employed well-being policymakers industry leaders.

Language: Английский

Citations

0