Analytical Modeling Research in Fashion Business


Book Description

This book includes both theoretical results and application cases of analytical modeling based research related to the fashion and textile business. It responds to calls for deeper theoretical foundations as an expansion of research methodology in a field that has to date mostly relied on case studies and empirical analysis. Although there are a growing number of related publications which employ an analytical approach in conducting theoretical and applied research in the fashion and textile business, this book fills an essential gap by providing a comprehensive reference source that introduces the methodology and provides state-of-the-art findings on the topic. Covering an important and well-established industry, Analytical Modeling Research in Fashion Business is a pioneering text and essential reading for researchers and practitioners in the fashion and textiles industry alike. /div




Luxury Fashion Retail Management


Book Description

Using various research methodologies, such as reviews, case studies, analytical modeling and empirical studies, this book investigates luxury fashion retail management and provides relevant insights, which are beneficial to both industrialists and academics. Readers gain an understanding of luxury fashion retailing, including proper operations and strategic management, which now are the most crucial items on the luxury fashion industry’s senior management agenda.




Intelligent Fashion Forecasting Systems: Models and Applications


Book Description

Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.




Handbook of Research on Global Fashion Management and Merchandising


Book Description

Innovation and novel leadership strategies have aided the successful growth of the fashion industry around the globe. However, as the dynamics of the industry are constantly changing, a deficit can emerge in the overall comprehension of industry strategies and practices. The Handbook of Research on Global Fashion Management and Merchandising explores the various facets of effective management procedures within the fashion industry. Featuring research on entrepreneurship, operations management, marketing, business modeling, and fashion technology, this publication is an extensive reference source for practitioners, academics, researchers, and students interested in the dynamics of the fashion industry.




Fast Fashion Systems


Book Description

Fast fashion is an industrial trend that refers to the concept of shortening lead time (production, distribution) and offering new products to the market as fast as possible. Despite an abundance of research results, there is no comprehensive reference source that covers the state-of-the-art findings on both theoretical modeling and empirical research on fast fashion systems. This edited volume consists of three sections - review and exploratory studies, analytical models, and empirical research - made up of many interesting contributions in the respective domain. The result is a well-balanced handbook which includes both theoretical results (from various perspectives) and empirical findings. This volume will be of interest not only to those involved in the fashion industry, but also to academics and practitioners in the wider fields of business, manufacturing engineering, systems engineering and supply chain management.




Fashion Trends


Book Description

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




Fast Fashion Systems


Book Description

Fast fashion is an industrial trend that refers to the concept of shortening lead time (production, distribution) and offering new products to the market as fast as possible. Despite an abundance of research results, there is no comprehensive reference source that covers the state-of-the-art findings on both theoretical modeling and empirical research on fast fashion systems. This edited volume consists of three sections - review and exploratory studies, analytical models, and empirical research – made up of many interesting contributions in the respective domain. The result is a well-balanced handbook which includes both theoretical results (from various perspectives) and empirical findings. This volume will be of interest not only to those involved in the fashion industry, but also to academics and practitioners in the wider fields of business, manufacturing engineering, systems engineering and supply chain management.







Order Quantity Forecasting for the Fashion Industry


Book Description

Master's Thesis from the year 2010 in the subject Computer Science - Applied, grade: 1, Fachhochschule Salzburg (Information Technology und Systems Management), language: English, abstract: Precise order quantity forecasting for fashion retailers is difficult, because of the specific nature of fashion products namely long lead times, seasonality, and product attributes such as sizes, colours, and cuts. This thesis contributes to order quantity forecasting for fashion products by the use of regression analysis. For this purpose, forecasting techniques in general, and parametric as well as nonparametric regression analysis in articular are presented. This is followed by fundamentals of data mining, specifically data preprocessing and data warehousing, in order to be able to apply regression analysis on historical sales data. Furthermore, to examine the quality of forecasts a method for evaluating the economical benefit of order quantity forecasting was developed. As a next step, the presented methods for forecasting were applied to historical sales data. Therefore, sales data was analysed, regression models were applied and forecasts were calculated and evaluated finally. This thesis is concluded by suggesting a forecasting implementation and by discussing the contributions to order quantity forecasting.




Successful Business Models in the Fashion Retail Industry


Book Description

Research Paper (undergraduate) from the year 2008 in the subject Business economics - Business Management, Corporate Governance, grade: 1,3, University of Applied Sciences Berlin, course: Strategic Management, language: English, abstract: In the increasingly competitive and changing fashion retail market the two European fashion retailers Hennes & Mauritz (H&M) and ZARA have explored the market possibilities in different ways: Both companies have chosen unique and very opposite business models and growth strategies which had enabled them to expand quickly and successfully beyond its own borders. Whereas H&M focuses on outsourcing production, ZARA relies on controlling every step of the value chain. Whereas H&M follows an aggressive marketing and PR strategy, ZARA does virtually no advertising. But both companies known for their "fast fashion" dress fashionable people around the globe and compete for the title of the largest clothing retailer in Europe in a league of their own. Thus, two main questions arise: What makes both companies so successful and what are the fundamental differences and similarities in their business models? The following assignments starts with presenting the background and development of both companies and giving a short overview about the clothing retail industry. Chapter two explores the business models of H&M and ZARA in terms of the whole value chain. Based chapter two, the assignment ends with summarizing both business strategies to provide a reasonable answer to the key question: If you would have 100 euro to invest, in which company would you invest in: H&M or ZARA?