The complexities of consumer behavior call for comprehensive and detailed analytical studies. The need for both businesses and academics across the world to understand the behavior of consumers in crisis situations has been clearly illustrated by the Covid pandemic. A New Era of Consumer Behavior - In and Beyond the Pandemic presents research on both theoretical and practical aspects of this topic in three sections: “Digital Shifts in Consumer Behavior”, “Digitalization of Consumer Behavior in the Tourism Sector” and “Consumer Protection and Sustainability”.

This book focuses on a new type of inclusive consumer decision-making process model (CDM) related to new leading-edge consumers. There have been two main types of CDMs for consumer behavior: one is the stimulus–response model and the other is the information-processing model. The stimulus–response model is applicable when consumers buy low-involvement products, and the information-processing model applies for high-involvement products. Thus consumers’ decision making depends on the involvement level for the products. With the advent of the widespread use of the Internet, however, the situation has changed. Consumers whose information sensitivity is high (i.e., among leading-edge consumers) now use the Internet to search for information even for low-involvement products. The consumers’ decision-making process depends therefore on their information sensitivity, not on the involvement level of the products. Also, these leading-edge consumers become in effect another type of media as they broaden their experience through the Internet. Under these circumstances, research about leading-edge consumers and the introduction of a new CDM is highly significant. This book gathers data about leading-edge consumers, analyzes these data, then proposes a new type of CDM called “circulation marketing”. Following this model, not only the previous types of CDM, but also the new kind of CDM, including share behavior of leading-edge consumers, is explained.

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of artificial intelligence. This book presents the concepts and applications of digital marketing in the age of artificial intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using artificial intelligence solutions. This enables specialists to apply advances in digital marketing in the age of artificial intelligence in the right way to serve customers and solve business problems in this competitive age. Covering the intersection of marketing and artificial intelligence, this book is a first-rate reference and an indispensable resource for business leaders, academics, salespeople, marketing professionals, managers, business owners, researchers, practitioners, instructors, college and university libraries, students, consultants, businesspeople, computer scientists, and customer-focused institutions.

This book presents the future directions of the digital economy post Covid-19 era. The chapters of this book cover contemporary topics on digital economy and digital initiatives undertaken by various organizations. Overall, the book shares insights on how organizations can adapt and transform their processes, structure, and strategies to remain relevant and competitive in the new business and economic environment. These insights also emerge from multidisciplinary discussions in various management domains, such as, consumer behaviour and marketing, economics, finance and accounting, entrepreneurship and small business management, environmental, social and governance compliance, future of work, human resource management, leadership, inclusive workforce, information systems and decision sciences, international business and strategy, and operations and supply chain management.

This two-volume set LNCS 11588 and 11589 constitutes the refereed proceedings of the 6th International Conference on Business, Government, and Organizations, HCIBGO 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 63 papers presented in these two volumes are organized in topical sections named: Electronic, Mobile and Ubiquitous Commerce, eBanking and Digital Money, Consumer Behaviour, Business Information Systems, Dashboards and Visualization, Social Media and Big Data Analytics in B

Technology in the world today impacts every aspect of society and has infiltrated every industry, affecting communication, management, security, etc. With the emergence of such technologies as IoT, big data, cloud computing, AI, and virtual reality, organizations have had to adjust the way they conduct business to account for changing consumer behaviors and increasing data protection awareness. The Handbook of Research on Social and Organizational Dynamics in the Digital Era provides relevant theoretical frameworks and the latest empirical research findings on all aspects of social issues impacted by information technology in organizations and inter-organizational structures and presents the conceptualization of specific social issues and their associated constructs. Featuring coverage on a broad range of topics such as business management, knowledge management, and consumer behavior, this publication seeks to advance the practice and understanding of technology and the impacts of technology on social behaviors and norms in the workplace and society. It is intended for business professionals, executives, IT practitioners, policymakers, students, and researchers.

Cross-sectional studies on communication have been widely conducted by researchers from various fields. Besides the pros, contras also downplay our propositions. Hence, the essence of communication in various fields should meet in-depth understanding. This later encourages researchers in social science to study and even to test the beliefs that have been assumed to become evidence. It is vital to configure our perspectives in examining the links between various fields of communication as communication plays roles on professional and personal successes of people, as numerous studies have shown. This book sheds lights on how communication research are conducted in different research areas such as digital communication and digital marketing, language and identity, communication on journalism, communication in news and mass media, pedagogical communication, political communication, ethics and communication, tourism and communication, and women and communication. It is expected that this book can provide insightful perspectives for its readers.

This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26–27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.