Acceptance of ChatGPT and generative artificial intelligence in several business sectors: Key factors, challenges, and implementation strategies
Dimple Patil, Nitin Liladhar Rane, Jayesh Rane
Abstract
Due to transformative potential in operational efficiency, customer engagement, and decision-making, ChatGPT and generative AI have grown rapidly across business sectors. However, adoption requires navigating key factors, overcoming challenges, and creating effective implementation strategies. This study examines the main factors influencing generative AI adoption, such as its ability to streamline operations, improve personalization, and provide valuable insights. These AI-driven models are being used in finance, healthcare, retail, and education to automate tasks, improve customer experience, and innovate products. Despite potential, adoption is hindered by significant challenges. Data privacy, ethics, and regulations impose sector-specific barriers. AI literacy gaps and workforce adaptation continue to affect organizational acceptance. Business implementation strategies to overcome these barriers include prioritizing transparent AI practices, investing in AI upskilling, and encouraging technical-non-technical team collaboration, according to the study.