Analytical Modeling Research In Fashion Business

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

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.

This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool.

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.

Online shopping has become increasingly popular due to its availability and ease. As a result, it is important for companies that sell high-end products to maintain the same marketing success as companies selling more affordable brands in order keep up with the market. Digital Marketing Strategies for Fashion and Luxury Brands is an essential reference source for the latest scholarly research on the need for a variety of technologies and new techniques in which companies and brand managers can promote higher-end products. Featuring coverage on a broad range of topics and perspectives such as brand communication, mobile commerce, and multichannel retailing, this publication is ideally designed for managers, academicians, and researchers seeking current material on effectively promoting more expensive merchandise using technology.

Can business activities and decisions be virtuous? This is the first business ethics textbook to take a virtue ethics approach. It explains how virtue ethics compares with alternative approaches to business ethics, such as utilitarianism and deontology, and argues that virtue ethics best serves the common good of society. Looking across the whole spectrum of business—including finance, governance, leadership, marketing and production—each chapter presents the theory of virtue ethics and supports students’ learning with chapter objectives, in-depth interviews with professionals and real-life case studies from a wide range of countries. Business Ethics: A Virtue Ethics and Common Good Approach is a valuable text for advanced undergraduates and masters-level students on business ethics courses.

"This book focuses on reporting both quantitative research on FSCM and exploratory studies on emerging supply chain management issues in the fashion industry"--Provided by publisher.

Digital transformation and demographic change are profoundly affecting the contexts in which the language industry operates, the resources it deploys and the roles and skillsets of those it employs. Driven by evolving digital resources and socio-ethical demands, the roles and responsibilities deriving from the proliferation of new and emerging profiles in the language industry are transcending the traditional bounds of core activities and competences associated with prototypical concepts of translation and interpreting. This volume focuses on the realities in the language industry from the fresh perspective of current and emerging professional profiles and of the contexts and resources that condition and support them. It traces the industry's evolution, maps its current state and considers key aspects of its workplaces, actors and practices. In an age when artificial intelligence is challenging traditionally held views of human performance, it addresses the issue of where and how human agents add value to the industry's processes and products, with a detailed, research-based consideration of the activities, competences, roles, responsibilities and tools that characterize the language industry of today and the near future.

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 Branding and Consumer Behaviors presents eye-opening theory, literature review and original research on the mutual influence of branding strategies and consumer response. Contributors use multiple methods to analyze consumers' psychosocial needs and the extent that their fulfillment goes beyond the usefulness or value of the items they purchase as well as the fashion industry's means of communicating brand identity and enhancing brand loyalty. Along the way, these studies raise important questions about consumer behaviors, consumer welfare, environmental ethics and the future of consumer research. Included in the coverage: A symbolic interactionist perspective on fashion brand personality and advertisement response. Optimizing fashion branding strategies in a fluctuating market. An analysis of fashion brand extensions by artificial neural networks. Domestic or foreign luxury brands? A comparison of status- and non-status- seeking teenagers. The impact of consumers’ need for uniqueness on purchase perception. How brand awareness relates to market outcome, brand equity and the marketing mix. A breakthrough volume on the complexities of how and why we buy, Fashion Branding and Consumer Behaviors will captivate researchers and practitioners in the fields of consumer psychology, marketing and economics.