Standards, Emergence, and Complex Outcomes - The Missing Link Between Cause and Effect

Standards, Emergence, and Complex Outcomes redefines how we think about standards, framing them as interfaces that govern interactions and connect causes to their effects. Expanding beyond traditional technical and geopolitical discussions, Garcia introduces a fresh theoretical perspective that positions standards as central to understanding complexity. From food safety and workplace regulations to standardized parts in manufacturing and our reliance on technology, standards shape nearly every aspect of modern life.By proposing a multidimensional approach, Garcia argues that standards are the mechanisms driving change, complexity is the backdrop for this change, emergence is the process by which change unfolds, and evolution is its ultimate outcome. Each chapter explores key elements of complexity theory and supports them with compelling historical and empirical examples, providing a richly detailed narrative that deepens understanding.This book is an essential resource for academics and students across the social sciences, policy makers shaping standards-dependent fields, and professionals in industries where standards dictate progress. Whether you're exploring the intersections of technology, governance, and complexity or looking to better navigate the systems shaping our world, this book offers vital insights into the pivotal role of standards in our increasingly interconnected society.

Dettagli sul prodotto

• Autori: D. Linda Garcia
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.05.2025, ritardato
• EAN: 9781032721064
• ISBN: 978-1-0-3272106-4
• Pagine: 232
• Categorie: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali; Scienze sociali, diritto, economia > Scienze sociali, tematiche generali; Sociology, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Research, SOCIAL SCIENCE / Statistics, SOCIAL SCIENCE / Methodology, Psychological methodology, Probability & statistics, Mathematical modelling, Probability and statistics, Research methods: general