Advances in Consumer Research
Issue:6 : 695-700
Original Article
Exploration And Use Of Artificial Intelligence In Enterprise Management And Industrial Transformation
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Lincoln University College, Petaling jaya Selangor Malaysia 1,2,3
Abstract

The research team behind this study aims to learn more about artificial intelligence's (AI) exploration into enterprise management and how it's influencing China's efforts to modernise its businesses and boost their efficiency, inventiveness, and innovation. Businesses may streamline operations, optimise the use of resources, and make more intelligent choices based on data with the help of AI, which is quickly gaining recognition as a powerful force in modern organisations. Examining how AI could improve managerial duties like scheduling, handling supply chains, consumer operations regulating, and supervision of operations is the main goal of this study. A quantitative data-based approach is applied by means of survey questionnaires distributed across Chinese enterprises. The correlation between business management outcomes and AI research is probed using statistical analytic methods. Implementing AI result in increase in revenues, accuracy, and strategic flexibility, as demonstrated by the findings, which show a considerable positive association. Automation routine jobs and analysing massive data sets are two ways AI helps reduce human error, boosts prediction dependability, and encourages innovation. AI also aids in boosting client involvement by enabling the personalisation of services and products and by manufacturing descriptive models of customer behaviour. The study also sheds light on other topics, including potential risks concerning data confidentiality, ethical concerns, and the importance of worker agility. Despite these limitations, the research highlights AI's importance as a tool for business growth, easing the shift from traditional enterprise management models to data-driven, intelligent systems.  

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