Book

Description

Artificial Intelligence is transforming how research is conceived, designed, conducted, analysed, and communicated. Artificial Intelligence in Research Methodology provides a practical and academically grounded guide to understanding the role of AI across the research process, with particular relevance to management, business, and social science research. The book connects established research methodology with emerging AI capabilities. It explains how researchers can use AI to develop research questions, explore literature, formulate conceptual frameworks, select appropriate research designs, support data collection, analyse qualitative and quantitative data, and improve academic writing. The book introduces readers to important AI applications, including machine learning, natural language processing, generative AI, AI-assisted literature analysis, data interpretation, and academic writing tools. It also addresses responsible and ethical use of AI, including issues of research integrity, transparency, bias, privacy, authorship, and the limitations of AI-generated outputs. Designed for research scholars, postgraduate students, faculty members, and academic researchers, the book combines methodological concepts with practical applications. It demonstrates how AI can complement, rather than replace, the researcher's intellectual judgement. By bringing together research methodology and AI-enabled research practices, the book aims to help researchers work more efficiently while maintaining methodological rigour, academic integrity, and research quality.