This book addresses how Covid-19 has damaged businesses and how businesses can adapt to the new normal. In doing so, the book contributes to theories associated with the marketing management, by assessing opportunities and challenges associated with the implementation of technology and marketing management during and post Covid-19. Although there is increasing research in consumer or business management acceptance of new technologies and digital marketing, the impact of these on marketing management during the Covid-19 are not adequately investigated, leading to overstated hypothetical predictions of its future potential. Chapters in the book therefore focus on new economic models such as sharing economy and business structures such as omnichannel, where advancements have enabled firms to build a one-on-one relationship with customers by collecting, storing, aggregating and analysing customer information across various touchpoints. Contributions in the book also focus on new technologies such as blockchain, automation solution, information technology management, and customer relationship management (CRM) in highlighting connections between these new technologies and marketing management. The book will be useful for anyone aiming to gain a better understanding of the current and future technologies that may play a role or have a robust impact on marketing management during Covid-19.

Business shapes have been changed these days. Change is the main dominant fact that change the way of business operations running. Topics such as innovation, entrepreneurship, leadership, blockchain, mobile business, social media, e-learning, machine learning, and artificial intelligence become essential to be considered by each institution within the technology era. This book tries to give additional views on how technologies influence business and marketing operations for insuring successful institutions survival. The world needs to develop management and intelligent business scenario plans that suite a variety of crisis appears these days. Also, business and marketing intelligence should meet government priorities in individual countries and minimise the risk of business disruptions. Business intelligence - the strategies and technology companies that use it to collect, interpret, and benefit from data - play a key role in informing company strategies, functions, and efficiency. However, being essential to the success, many companies are not taking advantage of tools that can improve their business intelligence efforts. Information technology become a core stone in business. For example, the combination of machine learning and business intelligence can have a far-reaching impact on the insights the company gets from its available data to improve productivity, quality, customer service and more. This book is important because it introduces a large number of chapters that discussed the implications of different Information technology applications in business. This book contains a set of volumes which are: 1- Social Marketing and Social Media Applications, 2- Social Marketing and Social Media Applications, 3- Business and Data Analytics, 4- Corporate governance and performance, 5- Innovation, Entrepreneurship and leadership, 6- Knowledge management, 7- Machine learning, IOT, BIG DATA, Block Chain and AI, 8- Marketing Mix, Services and Branding.

This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.

Digitalization completely has transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. In addition, it has modified marketing strategies, tactics, and processes, offering a wide range of mechanisms that allow companies, of all types and sizes, to enhance their commercial actions.

Regulatory compliance and risk management pose significant challenges in today's rapidly evolving financial landscape. Integrating Industry 4.0 technologies such as automation, AI, and machine learning has added complexity to these challenges. Financial institutions need help to keep pace with regulatory changes and technological advancements, leading to inefficiencies and increased compliance costs. Integrating RegTech Solutions for Industry 4.0 provides a comprehensive solution to this problem by offering insights into how regtech can help financial institutions navigate these challenges effectively. Through a series of case studies, this book demonstrates how leading financial institutions have successfully implemented regtech solutions to streamline compliance processes and manage risks efficiently. By showcasing real-world applications, the book offers practical strategies and best practices for integrating regtech into financial operations. Furthermore, the book explores the regulatory implications of Industry 4.0 technologies, such as IoT and blockchain, providing readers with a holistic view of the regulatory landscape.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.