The adoption of self-service technology (SST) has increased significantly in business and society, particularly since the advent of the COVID-19 pandemic. SST is a vital tool for many businesses in their quest to improve operational efficiency and increase profits. However, businesses must weigh the advantages of this technology against its drawbacks before committing to it. This study seeks to investigate the applications and benefits of SST, the challenges of adopting SST, and some implementation ideas for SST techniques. Furthermore, it seeks to examine whether SST techniques are successful and whether managers should consider SST as a strategic objective. The key research question in this study is how SST initiatives can help a business, and what challenges can managers encounter when implementing them. A review of the current literature shows that SST has helped companies increase customer satisfaction, increase management efficiency and effectiveness, cut costs, and increase financial performance. Some of the challenges facing SST usage include customer reluctance, consumer privacy, and substantial investments and costs for implementation.
The COVID-19 pandemic has expedited the adoption of artificial intelligence (AI) in the healthcare industry. The need for rapid diagnosis and treatment, as well as the demand for remote care and monitoring, has led to an increased focus on AI solutions that can improve healthcare delivery and patient outcomes. AI-powered technologies such as predictive analytics, natural language processing, and computer vision have been deployed to support screening and diagnosis, drug discovery, and vaccine development. Additionally, AI-powered chatbots and virtual assistants have been used to triage patients and provide remote care. While the adoption of AI in healthcare has brought tremendous benefits, there are still challenges to be addressed. This paper will explore the adoption, benefits, and challenges of AI in the healthcare industry, shedding light on the prowess of AI in revolutionizing healthcare while also underscoring the need for careful implementation and ethical considerations. This study will conclude with 5 case studies of top U.S. hospitals that have adopted AI for diverse purposes.
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