By providing a comprehensive theoretical framework, this book aims to map the most relevant technologies that have the potential to reshape the retail industry. The authors demonstrate how technology is pushing innovation, and examine how smart technologies can be fruitfully applied both in-store and through digital channels. The aim of the book is to synthesise theory and practice, and provide a richer understanding of new digital opportunities offered by the ‘smart’ experience. An accessible resource for researchers who want to understand this phenomenon as part of their expertise in digital marketing and e-commerce, Smart Retailing also provides insights for practitioners who are experiencing the dramatic effects of new technologies on their retail strategies.

Smart Retail reveals what the most successful retailers in the world know and how you can apply their secrets to your own business. Fully revised and updated, this new edition includes the latest success stories, new ideas and strategic and tactical thinking to help grow your sales. Based on one simple question, which Richard Hammond posed to the world’s leading retailers: ‘What makes you so good?’, Smart Retail shows you how to use some of the best winning ideas, strategies and tactical thinking. Discover the secrets of great retailing Boost sales with practical advice from the best retailers in the world Learn how to delight customers and keep them coming back for more Covering everything from creating the ultimate retail experience to understanding your customer and the importance of a motivated team, this is the book that will equip managers, ambitious team-workers, retail entrepreneurs and indeed anybody who sells direct to customers, with practical winning ideas and strategies. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

The objectives of this book are: To share what are the excitements and challenges facing in the retailing industry. To create different strategies by using the right retail format strategy to meet the specific target market segment. How retailers able to create a competitive advantage edge over competitors in order to achieve sustainable growth in revenue and profit in the longer term for the organization. Successful SMART Retailing = How to define your SPECIFIC target market segment to MEET your customers needs and wants in order to create a competitive ADVANTAGE edge to achieve sustainable financial performance RESULTS by utilizing the current TECHNOLOGICAL advancement and implementing of ENTREPRENEURSHIP mindset.

Business Strategies and Ethical Challenges in the Digital Ecosystem acts as a forum for examining current and future trends related to management and technological adoption, from digital business strategy and industry 5.0, changing consumer behaviour and sustainability to marketing, ethics, data security, and much more.

The book includes new theory, original empirical evidence, and applied case studies synthesizing advances in innovation and technology for the retail sector. Chapters identify the challenges retailers face in response to new practices, suggesting how the sector can respond to technological developments, ethical considerations and privacy issues.

Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.

Engaging customers has become an effective strategy of marketers for improving customer-brand relationships as customer engagement is a perfect predictor of organic growth. Aggressive sales promotions, advertising campaigns, rewards, discounts, and more may attract a customer, but customer engagement creates an emotional connection with the brands/firms/services, which drives customer loyalty and long-term profitability. This has become much more applicable and effective with the use of social media platforms and the increased access of internet. Moreover, the implementation of customer analytics to measure engagement activities has provided marketers with more insights for improving services. Insights, Innovation, and Analytics for Optimal Customer Engagement is an advanced reference book that covers the latest emerging research in customer engagement and includes underlying theories, innovative methods, a review of existing literature, engagement analytics, and insights for marketers with reference to customer engagement. The book covers various product categories, industries, and sectors that are working to engage customers in inventive and creative ways. This book is a comprehensive reference tool for marketers, brand managers, social media specialists, advertisers, managers, executives, academicians, researchers, practitioners, and students interested in gaining comprehensive knowledge about customer engagement and the latest advancements in the field.

Global economic scenarios are increasing in complexity due to the recent global financial crisis, globalization, the evolution of ICT, and the changing behaviors of consumers. This has made it difficult to predict trends and build strategies within the retail industry. As a result, long-term forecasts and schedules are not possible, and more research is needed to explore today’s consumer profile and set the frameworks for future recovery strategies. Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments is a pivotal reference source that provides practical insights into improving the understanding of complex retail environments and consumer shopping behaviors in order to predict trends and develop strategies for retailers in times of economic crisis. While highlighting topics such as consumer engagement, industry models, and market globalization, this publication explores qualitative and quantitative methods of interest and the multidisciplinary approaches revolving around the industry. This book is ideally designed for marketers, managers, practitioners, retail professionals, academicians, researchers, and students seeking current research on relationship marketing, digital marketing, service management, and complexity theories.

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.