The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.

Although there are various studies on theories and analytical techniques to address consumer behavior change in the current world, tracking consumer behavior change in the metaverse and the adoption of the metaverse remains a challenge that requires discussion. The advent of the metaverse will have a profound influence on consumer behavior, from how people make decisions and create brand connections to how they feel about their avatar embodiment and their purchases in the metaverse. The Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World investigates the social, behavioral, and psychological factors that influence metaverse adoption. The focus then shifts to concepts, theories, and analytical approaches for detecting changes in consumer behavior in the metaverse. Covering topics such as e-commerce markets, user experience, and immersive technologies, this major reference work is an excellent resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, librarians, students and educators of higher education, researchers, and academicians.

Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. The Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.

Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today.

Zusammenfassung: This is an open access book. About Education: In a narrow sense refers to specially organized school education; in a broader sense, it refers to the social and practical activities that affect the physical and mental development of people. The significance of education is to make people understand the responsibility and righteousness of human society as a person. Only when a person understands his responsibilities and obligations can he become a useful person. The premise is that only those who fulfill their responsibilities and obligations can become a useful person. This is the purpose of education. About Language: Language is a product of a certain society, a phenomenon unique to society, there is no such thing as language outside of society, there is no society, there is no language, the development of language by social constraints, language with the emergence of society, with the development of society and development, with the death of society and death. Language is the bridge and link between members of society, is the tool for mutual communication and expression of ideas, society can not be separated from language, without language, society will collapse and cease to exist. About Art: The value of art, human core, people's aesthetic attitude determines the value of art. Art is a spiritual product, closely related to our life, it can make enrich our spiritual life. The value of art is not only limited to life, it has great value in society, history and business. As an appreciator, we perceive the beauty of art works through images, sounds, experiences, observations, imaginations, and emotions in multiple dimensions, so as to obtain spiritual and emotional pleasure

Digital transformation is spreading throughout every industry all over the world. Acquiring new technologies to use within business practices increases productivity and strengthens the connection between businesses and their consumers. The digital transformation process and automation promotion must be intensified and explored globally so that economies can grow and develop, providing a better quality of life for their populations. Implementing Automation Initiatives in Companies to Create Better-Connected Experiences explores the most current and decisive topics for business and academia. It evaluates the ways in which automation and connectivity help the decision-making process of companies and the learning process for students and researchers. Covering topics such as consumer behavior, omnichannel retailing, and metaverse applications in business, this premier reference source is an excellent resource for business executives and managers, IT managers, marketers, agencies, government officials, students and faculty of higher education, researchers, and academia.

In many ways, the appearance of the metaverse is an unparalleled progression. A number of new technologies have come together to enable its vision. Augmented reality (AR) and virtual reality (VR) headsets have become cheaper and more powerful improving the user experience. Blockchain has enabled digital currencies and NFTs. The new methods to transact and own digital goods are allowing creators to monetize their activities through tokens. In addition to monetization, and as a means to exchange value, token-holders can also participate in the platform’s governance (e.g., vote on decisions). This democratic ownership economy coupled with the possibility of interoperability could unlock immense economic opportunities whereby digital goods and services are no longer captive to a singular gaming platform or brand. As the world steps into the metaverse, it is imperative to spark conversations with all objects and those interacting within the next dimension. Applying Metalytics to Measure Customer Experience in the Metaverse introduces metalytics, a new perspective on analytics for the new dimension of spatial and immersive Web 3.0. It presents the new conversations in the elements of a new digital age converging at a large scale. Covering topics such as big data analytics, financial services, and network analysis, this premier reference source is an essential resource for business leaders and executives, IT managers, entrepreneurs, financial specialists, consultants, statisticians, marketers, government officials, students and educators of higher education, librarians, researchers, and academicians.