Analyses the impact of COVID-19-related restrictions on business models of enterprises affected most by these restrictions and examines transformational changes induced by the accelerated adoption of internet technologies and transition to e-commerce-based business models.

The COVID-19 pandemic caused global shock to the entire economic system. As a result of the government restrictions, both production and distribution channels were interrupted. In this situation, however, it was possible to observe that some companies were able to adapt to these new conditions. The demand for the possibility of translating physical business into virtual increased. The COVID-19 restrictions showed that many entrepreneurs do not have enough knowledge about the available online tools and possibilities. Given that the digital transformation of business today often consists only of incorporating existing tools into existing processes, transition to e-commerce could be made easily and quickly. Moving Businesses Online and Embracing E-Commerce: Impact and Opportunities Caused by COVID-19 analyzes the impact of COVID-19-related restrictions on business models of enterprises affected most by these restrictions and examines transformational changes induced by the accelerated adoption of internet technologies and transition to e-commerce-based business models. Covering topics such as customer relationship management (CRM), small and medium enterprises (SMEs), and customer loyalty, this book serves as an essential resource for business owners, CEOs, managers, IT consultants, web developers, students, professors, entrepreneurs, researchers, industry professionals, and academicians.

In a highly competitive market, digital transformation with internet of things, artificial intelligence, and other innovative technological trends are elements of differentiations and are important milestones in business development and consumer interaction, particularly in services. As a result, there are several new business models anchored in these digital and technological environments and new experiences provided to services consumers and firms that need to be examined. Impact of Digital Transformation on the Development of New Business Models and Consumer Experience provides relevant theoretical and empirical research findings and innovative and multifaceted perspectives on how digital transformation and other innovative technologies can drive new business models and create valued experiences for consumers and firms. Covering topics such as business models, consumer behavior, and gamification, this publication is ideal for industry professionals, managers, business owners, practitioners, researchers, professors, academicians, and students.

Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward. Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students.

In a world where technology evolves rapidly, traditional business models face unprecedented challenges. Companies must adapt to the accelerating pace of innovation, which demands agile strategies and the integration of new technologies to remain competitive. The rise of digital platforms, automation, and data analytics has shifted market dynamics, compelling businesses to rethink their operations, customer engagement strategies, and value propositions. To thrive, organizations must embrace digital transformation, invest in cutting-edge technologies, and foster a culture of continuous learning and adaptation. Business Transformation in the Era of Digital Disruption offers insights on core concepts and innovative technological solutions driving e-business transformation. It provides actionable strategies for thriving amidst digital upheaval and addresses ethical and legal considerations in e-business transformation. Covering topics such as business processes, gig economy, and sustainable development, this book is an excellent resource for executives, entrepreneurs, consultants, academicians, researchers, educators, and more.

When traditional shopping becomes challenging, people are inclined to shop online. Recent limitations like government-imposed quarantines, social distancing, and fear of viruses have provided opportunities for the e-commerce business to thrive. Consumers turned to digital options to bypass physical shopping environments, which will undoubtedly influence long-term buyer behavior. Advancing SMEs Toward E-Commerce Policies for Sustainability provides a fresh perspective on how small and medium-sized enterprises (SMEs) can leverage e-commerce for sustainability and considers the best practices and challenges of adoption. Covering topics such as data science, digital ethics, and blockchain, this reference work is ideal for business owners, managers, policymakers, researchers, scholars, academicians, educators, and students.

Trust and Digital Business: Theory and Practice brings together the theory and practice of trust and digital business. The book offers a look at the current state, including a comprehensive overview of both research and practical applications of trust in business. Readers will gain from this book in the following areas: knowledge across disciplines on trust in business, theoretical underpinnings of trust and how it sustains itself through digital dissemination, and empirically-validated practice regarding trust and its related concepts. The international team of authors from seven countries (Finland, Germany, Italy, Malaysia, Poland, Turkey, and the United States) ensures the diversity and quality of the content. The intended audiences of this book are professionals, scholars, and students.

In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.

Today's fast-evolving business landscape has created a significant challenge - the gap between basic scientific research and commercial innovation. Groundbreaking discoveries in laboratories need to translate into sustainable business solutions. The interplay between foundational scientific principles and their application in the commercial sphere is complex, making it difficult to bridge the gap. To tackle this problem, the book Unleashing the Power of Basic Science in Business offers a comprehensive exploration of how basic science can drive sustainable innovation in business. By bridging the gap between theory and application, this book provides a roadmap for researchers, academicians, and professionals in basic science, engineering, and management to understand and implement basic science, sustainability, and innovation in business. Through a diverse collection of chapters, readers gain insights into collaborative forces in innovation, ethical dimensions of basic science in commercial contexts, and the operationalization of commercial innovation. Unleashing the Power of Basic Science in Business guides navigating the sustainable commercialization expedition and cultivating environments for sustainable commercial success.

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.