Sharp, in-depth and highly visual, this is the fully revised textbook and teaching aid for students, tutors and in-house learning and development teams keen to know more about the world of trends, forecasting, innovation thinking and strategic foresight. Designed and written as a practical ‘how to’ guide for design, marketing, brand and innovation studies students, updated chapters include the latest research and industry case studies on superforecasting, three horizon scanning, scenario planning, foresight framework building and the creation and running of your own trend and innovation sprints. Students also have a chance to mix and merge the worlds of forecasting with future studies as we look at how techniques and processes such as the Delphi Method, cross-impact analysis, futures wheels and backcasting are being used by next generation forecasters to expand the ways they map, assess and define the needs and behaviours of tomorrow’s consumers.

Sharp, in-depth, and highly visual, this is the fully revised textbook and teaching aid for students, tutors, and in-house learning and development teams keen to know more about the world of trends, forecasting, innovation thinking, and strategic foresight. Designed and written as a practical 'how to' guide for design, marketing, brand, and innovation studies students, updated chapters include the latest research and industry case studies on superforecasting, three horizon scanning, scenario planning, foresight framework building, and the creation and running of your own trend and innovation sprints. Students also have a chance to mix and merge the worlds of forecasting with future studies as we look at how techniques and processes such as the Delphi Method, cross-impact analysis, futures wheels, and backcasting are being used by next generation forecasters to expand the ways they map, assess, and define the needs and behaviors of tomorrow's consumers.

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

An understanding of trends is a fundamental skill for anyone working in the fashion industry. In this book Gwyneth Holland and Rae Jones look at how to produce a well-researched trend, from initial inspiration to concrete idea and, eventually, real product. Illustrated throughout with insights from practicing trend forecasters and industry insiders, it is an invaluable guide for fashion students and practitioners alike.

In a fast-moving global industry, how can anyone know what the next trend will be? Fashion Trends: Analysis and Forecasting offers a clear pathway into the theory and practice of forecasting fashion, using professional case studies to demonstrate each technique and concept. This revised edition includes an updated model of the fashion trend analysis and forecasting process and expanded coverage of social media, digital influencers, sustainability and social responsibility. There are also first-hand visual materials relating to forecasts from leading firms. With the rise of individualism and concern for the sustainable world, the authors also walk you through the 'end of fashion' and what comes next, including: recycled and upcycled fashion, garment rental, subscription services, the circular economy, transparency and traceability, and the role of forecasting in encouraging sustainable lifestyles. Key topics – The characteristics of an innovation – The influence of consumer groups – Long- and short-term fashion forecasting – Sociocultural factors and their influence on trends – Fashion professionals' roles in creating and supporting trends – Consumer and industry trends accelerating product innovation and diffusion – Changing trend forecasting formats – The influence of trend forecasting on business decisions

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Readers will learn how to anticipate and profit from future trends in business, economics, finance, politics, and a number of other crucial social and economic currents.