From data capitalism and data colonialism, to data harms to data activism - the book is an expert guide to the debates central to understanding the injustices of life in a datafied society.

The SAGE Handbook of Mixed Methods Research Design provides a comprehensive overview of the existing typologies and future potential applications of this fast evolving field. With a unique focus on design, this handbook prepares researchers for the changing conditions in which they will conduct their studies.

The ideal introduction to research methods in global politics, Lamont offers a broad survey of the leading methods and theories in IR with unrivalled clarity, packed with engaging examples throughout. This is the gold standard, step-by-step guide to embarking on research in IR.

An essential guide to understanding how experiential marketing forms a major part of marketing communications for brands featuring an implementation model to help students in designing their own campaigns.

This practical guide walks you through your whole research project, from first starting out and deciding on a topic or question to writing up and presenting research.

Based on the idea that strategic CSR offers the most holistic and effective approach to corporate social responsibility, the author presents the key concepts, theories and philosophical approaches to CSR, along with the practical tools needed to implement this knowledge in the real world.

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.

From research preparations to post-research debriefing, this book covers every stage of the social research process, outlining how to undertake fieldwork as safely as possible.

This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.