Synopsis
Qualitative research is critical in doctoral studies, offering detailed insights into complex data that quantitative methods often cannot capture. Designing and implementing qualitative research equips doctoral students with the essential tools to navigate the nuances of data collection, analysis, and interpretation. By exploring various qualitative methodologies like interviews, ethnography, and case studies research can be both methodologically accurate and meaningful. Fostering critical thinking, reflection, and understanding of the ethical considerations that shape effective qualitative inquiry requires further exploration in academic settings. Qualitative Inquiry in Doctoral Research: Pathways to Effective Design and Implementation explores qualitative research methodologies tailored for doctoral students across various academic disciplines. It explores each stage of the qualitative research process, from the initial selection of appropriate methodologies to the presentation of research findings and delves into traditional and innovative qualitative methods. This book covers topics such as ethnography, research design, and data science, and is a useful resource for academicians, researchers, and scientists.
About the Author
Muhammad Usman Tariq , PhD, is a distinguished professional with over sixteen years of experience in both academia and industry, focusing on the integration of artificial intelligence (AI) and emerging technologies in higher education. As a leading expert in research and case studies, Dr. Tariq has worked in private and public sectors across the United States, Asia, and the Middle East, serving as a practitioner, facilitator, trainer, supervisor, consultant, researcher, assessor, online tutor, and counselor. His first inventor status on four scientific patents showcases his dedication to research and innovation. His intellectual contributions include more than 300+ articles, case studies, and book chapters. Dr. Tariq is an advocate for the transformative potential of AI in higher education, having published numerous research articles, reviews, and book chapters exploring AI applications and implications in teaching, learning, and administration. His research interests encompass AI-driven personalization, online and self-paced learning, student and faculty engagement, and the ethical considerations of AI in education. He is a Chartered Fellow at Chartered Institute of Personnel and Development (CIPD), Principal Fellow of Advance HE UK, Senior Fellow SEDA and Senior Member IEEE. In addition to his academic contributions, Dr. Tariq has worked as a standards consultant and trainer for industries representing Six Sigma, quality, health and safety, environmental systems, project management, and information security standards. He has collaborated with several international accreditation agencies, such as NQF, ENQF, CAA, CEA, ABET, ACBSP, AACSB, WASC, and NCEAC, at both the institute and program levels. He is a certified organizational change leader and assessor, playing a pivotal role in developing and implementing change initiatives across various sectors, including aviation, manufacturing, food, hospitality, education, finance, research, software, and transportation. Dr. Tariq holds the degrees Doctor of Business Administration (With Distinction) from California Southern University, a doctorate degree in Strategic Management and Leadership Practice (Equalized OTHM Level 8/RQF Level 8), Master of Science in Computing Science with a specialization in Software Engineering from Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, and Bachelor of Science in Computing from Bahria University. He is a certified Organisational change leader and assessor, playing a pivotal role in developing and implementing change initiatives across various sectors, including aviation, manufacturing, food, hospitality, education, finance, research, software, and transportation. With a passion for learning and development, project management, and training, Dr. Tariq is a member of several doctoral advisory committees at numerous universities and serves on the Harvard Business Review Advisory Council. His extensive experience, research, and commitment to advancing the field of AI in higher education make him uniquely positioned to provide valuable insights and guidance through this book.
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