Evaluating the Influence of Artificial Intelligence on Workforce Productivity at Small and Medium-Sized Enterprises

The research being conducted aims to examine the impact of artificial intelligence (AI) on labour productivity inside small and medium-sized enterprises (SMEs) situated in Bahrain. Utilising a carefully constructed questionnaire with a solid reliability value (Cronbach's Alpha = 0.974), data was collected from the staff of this sector. The findings of our study indicate that the integration of artificial intelligence (AI) significantly enhances productivity, as it amplifies the benefits of training. Corroborating previous studies, the results indicate that targeted training improves performance and that artificial intelligence has the potential to automate tasks and provide personalized learning experiences. The present study addresses the existing research deficiencies in the domain of small and medium-sized companies (SMEs) and the synergistic effects of artificial intelligence (AI). The pragmatic implications suggest that small and medium-sized firms (SMEs) could make use of artificial intelligence (AI) to augment training programmes and boost productivity.

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Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836401
Primary Topic
Impact of AI and Big Data on Business and Society
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article
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article

Evaluating the Influence of Artificial Intelligence on Workforce Productivity at Small and Medium-Sized Enterprises

Ali Ateeq, Mohammed Abdulrazzaq Alaghbari, Nasser A. Saif Al Muraqab, Ranyia Ali Ateeq
Impact of AI and Big Data on Business and Society
article

Evaluating the Influence of Artificial Intelligence on Workforce Productivity at Small and Medium-Sized Enterprises

Ali Ateeq, Mohammed Abdulrazzaq Alaghbari, Nasser A. Saif Al Muraqab, Ranyia Ali Ateeq
article en

Abstract

The research being conducted aims to examine the impact of artificial intelligence (AI) on labour productivity inside small and medium-sized enterprises (SMEs) situated in Bahrain. Utilising a carefully constructed questionnaire with a solid reliability value (Cronbach's Alpha = 0.974), data was collected from the staff of this sector. The findings of our study indicate that the integration of artificial intelligence (AI) significantly enhances productivity, as it amplifies the benefits of training. Corroborating previous studies, the results indicate that targeted training improves performance and that artificial intelligence has the potential to automate tasks and provide personalized learning experiences. The present study addresses the existing research deficiencies in the domain of small and medium-sized companies (SMEs) and the synergistic effects of artificial intelligence (AI). The pragmatic implications suggest that small and medium-sized firms (SMEs) could make use of artificial intelligence (AI) to augment training programmes and boost productivity.

University of Bahrain (BH), University of Dubai (AE), Applied Science University (BH), Gulf University (RS), University College of Bahrain (BH)
Decent work and economic growth
Openalex Percentile: Top 68%
Impact of AI and Big Data on Business and Society
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Evaluating the Influence of Artificial Intelligence on Workforce Productivity at Small and Medium-Sized Enterprises — Ali Ateeq, Mohammed Abdulrazzaq Alaghbari, et al. · (2024) | TGRS Research Map | TGRS