Impact of Artificial Intelligence Integration on Manufacturing Efficiency in Algeria
DOI:
https://doi.org/10.47672/ajce.1908Keywords:
Artificial Intelligence, Integration, Manufacturing EfficiencyAbstract
Purpose: The aim of the study was to assess the impact of artificial intelligence integration on manufacturing efficiency in Algeria.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study revealed a strong correlation was observed between the level of parental engagement in a child's reading activities and their reading proficiency. Children whose parents actively participated in reading-related tasks, such as reading together, discussing stories, and providing access to books, demonstrated higher levels of reading skills compared to those with less involved parents. Furthermore, the study highlighted the importance of parental attitudes towards reading, with children of parents who expressed positive attitudes towards literacy exhibiting greater enthusiasm and motivation for reading. Additionally, the quality of parent-child interactions during reading sessions emerged as a crucial factor, emphasizing the significance of fostering supportive and stimulating reading environments at home.
Implications to Theory, Practice and Policy: Theory of technological determinism, resource-based view theory and complexity theory may be used to anchor future studies on assessing the impact of artificial intelligence integration on manufacturing efficiency in Algeria. Manufacturing firms should invest in talent development initiatives to enhance the AI capabilities of their workforce. Policymakers should promote data sharing and interoperability standards to facilitate seamless integration of AI technologies across manufacturing ecosystems.
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