Literature Review Simplified: A Practical Guide for Beginners Second Edition

The second edition of this book is here to transform your literature review journey with enriched content, enhanced methodologies, and a user-centric approach. What’s New in the Second Edition? Real-Time Examples: Experience the literature review process through detailed, real-time examples that unfold progressively across each chapter, from research question formulation to final synthesis. Improved Structure: Enjoy a redesigned layout with more visual content, including tables and infographics, to clarify complex concepts and methodologies. Updated Tools and Resources: Access the latest tools and resources, with outdated links and references replaced to provide the most current options available.

Meet Rafiq Muhammad

Rafiq Muhammad has background in healthcare with MBA from SDA Bocconi School of Management, Italy, and holds a Ph.D. in Artificial Intelligence and Machine Learning from Karolinska Institute, Sweden. He has spent the past several years engaging deeply in data analytics and machine learning applications. Rafiq Muhammad is passionate about data science and artificial intelligence and is dedicated to bridging the gap between cutting-edge generative language models and their practical implementations in real life. Rafiq Muhammad has extensive experience in publishing systematic literature reviews in peer-reviewed journals, and teaching and supervising graduate students on how to conduct literature reviews. He also has experience teaching Master Level courses at Karolinska Institute. Rafiq has developed advanced skills in conducting high-quality systematic literature reviews independently (four systematic literature reviews already published and supervised several). During the last 6 years, He has published 10 scientific articles in peer-reviewed academic journals. He has spent the past several years immersing himself in data analytics using artificial intelligence and machine learning, conducting literature reviews, and teaching master-level courses in healthcare. As a medical doctor with expertise in data science, he has the right competence to conceptualize, design, and develop AI applications in healthcare.