Equip yourself with the knowledge and tools to conduct high-quality literature reviews.
This book is here to transform your literature review journey with enriched content, enhanced methodologies, and a user-centric approach.
Key Features
Ten-Step Framework: Follow a streamlined ten-step process to conduct literature reviews quickly and effectively.
Real-Time Example Development: Engage with dynamic, real-time examples that mirror the actual research process.
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Updated Tools and Resources: Access the latest tools and resources, with outdated links and references replaced to provide the most current options available.
New Chapters:
Mixed-Methods Literature Reviews: Learn to combine qualitative and quantitative research findings.
AI-Assisted Reviews: Discover how to leverage AI and machine learning tools to streamline your literature review process.
Meta-Analysis: Understand the process of consolidating findings from multiple studies.
Why Choose This Book?
This second edition not only provides practical, step-by-step guidance but also incorporates contemporary technological advancements and broader disciplinary examples. Each chapter builds logically on the previous one, ensuring you learn and apply each step effectively.
Muhammad, Rafiq: - 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.
