SYSTEMATIC EVALUATION OF AI IMPLEMENTATION: FROM TECHNOLOGICAL INNOVATION TO SUSTAINABLE PRACTICE

Abstract

This study aims to analyze the strategy of applying new technology in the form of AI to improve operating efficiency in several industries. This research uses the Systematic Literature Review (SLR) method. The purpose of research using this method is to identify, review, evaluate, and interpret all available research on the topic of interesting phenomena with certain relevant research questions so as to answer the questions in the specified research. The research results from analyzing this that AI has great potential in improving efficiency, accuracy, and quality of service. However, significant challenges such as stakeholder resistance, complexity of technology integration, and ethical issues such as data privacy and algorithm transparency need to be addressed. The research also reveals that adaptive approaches such as stealth science and digital ambidexterity can help overcome these barriers. In addition, collaboration among stakeholders and the development of supportive policies were identified as key factors for successful AI implementation. Key recommendations include the development of adequate technological infrastructure, workforce training, further research on the long-term impact of AI, and increased awareness and education about AI.