BIO Web of Conferences · 2024 · 10 citations · 38 references
ComputingComputer ScienceHuman Resource ManagementArtificial IntelligenceMachine LearningWorkforce DevelopmentArtificial Intelligence AdoptionIndustrial AutomationWorkforce ManagementEmployee ProductivityEmployee Skill DevelopmentHuman-ai InteractionProductivityTrainingWell-beingWorkforce ProductivityWorkplace Automation
This empirical study looks at how the industrial sector is affected by the deployment of human-centric AI and finds some amazing changes in the workplace. Following implementation, employee productivity increased by 35.5%, demonstrating the significant advantages of AI in automating repetitive jobs and improving overall efficiency. Simultaneously, job satisfaction increased by a significant 20.6%, highlighting the alignment of AI with worker well-being. Employee skill development increased by 29.6% as a result of structured AI training, which is consistent with the larger goals of adopting AI that is human-centric. Significant cost reductions of up to 40% of budgets were also realized by departments, resulting in significant economic benefits. These revelations highlight the revolutionary potential of AI integration in Industry 5.0, promoting a harmonic convergence of intelligent technology and human skills for an industrial future that is more productive, happy, and financially stable.
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Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes et al. · International Journal of Information Management · 2023 · 3.7K citations · Full text
Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar et al. · Human Resource Management Review · 2022 · 811 citations · Full text
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Soumyadeb Chowdhury, Pawan Budhwar, Prasanta Kumar Dey et al. · Journal of Business Research · 2022 · 442 citations
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