This chapter provides a comprehensive examination of core research methodologies and designs within the discipline of management studies, investigating the philosophical underpinnings of positivism, interpretivism, inductivism, and deductivism and their impact on research design. The discussion addresses both quantitative and qualitative methods, highlighting the merits of integrating primary and secondary data sources to maximise research rigour, validity, and reliability. It highlights the sophisticated roles of case studies and cross-case analyses and explores a range of data collection instruments, comprising questionnaires, interviews, focus groups, observational research, and diary studies. The chapter further explains the significance of carefully selecting the unit of analysis, as well as customising participant samples to research aims and contexts. With growing recognition of the complementary strengths of quantitative and qualitative methods, the chapter advocates for multi-method and triangulation strategies, augmented by the innovative application of Artificial Intelligence as both an analytical and creative partner. The synthesis of these methodologies allows researchers to develop robust, contextually rich, and actionable insights, advancing both theoretical and practical knowledge in management research.