AI in Management and Quality Practices
DOI:
https://doi.org/10.47604/jhrl.3507Keywords:
Artificial Intelligence, Quality Management, Compliance, Standards, GovernanceAbstract
Purpose: The aim of this study is to examine how Artificial Intelligence (AI) can improve management and quality practices in organizations. Many businesses today struggle to keep high quality standards and meet regulatory rules. AI provides tools that can help managers check processes, reduce mistakes, and ensure compliance. This study shows how AI can support organizations in becoming more accurate, efficient, and transparent in their operations.
Methodology This research is based on a review of existing academic studies, case examples, and secondary data from different industries. A descriptive approach was used to understand how AI is being applied in management and quality practices. Information was taken from journal articles, industry reports, and organizational case studies. The data was then examined thematically to find common trends, benefits, and challenges in using AI for management.
Findings: The study found that AI has a strong impact on quality management and compliance. AI helps companies detect errors faster, check for quality problems in production, and follow international standards. It also makes decision-making quicker and more accurate by using large amounts of data. However, the findings also show that many organizations face problems when there are no clear guidelines or ethical rules for AI use. Without proper governance, AI can create risks like misuse of data or weak accountability.
Unique Contribution to Theory, Practice, and Policy: This study contributes to theory by linking AI tools with Total Quality Management ideas and showing how technology supports continuous improvement. For practice, the study shows managers how they can use AI to improve quality checks, reduce waste, and save costs. For policy, the study highlights the need for strong governance frameworks, ethical guidelines, and compliance systems that ensure AI is used responsibly. These contributions will help both researchers and organizations to understand how AI can improve management and quality practices.
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