Preface

In the twenty-first century, digitization and the outcomes it produces hasten social change and the creation of sustainable societies. Our digital activities, judgments, and mere presence generate data, which opens up immense prospects for modifying present company procedures and practices. As a result, new theories, such as big data analytics, are desperately needed. The term “big data” refers to the process of creating increasing amounts of data in real time from several sources using modern industrial systems and advanced technology. To generate large volumes of data, modern enterprises increasingly rely on cutting-edge technology, which boosts a company's competitive advantage by extracting value from data and is based on rapidly developing digital technology research and the strengths that the information systems bring to the field. What it takes to achieve digital transformation is described in this book. An extraordinary rate of the adoption of big data analytics (BDA) is being observed in businesses in various nations looking for a competitive edge. This book's goal is to offer a conceptual framework based on resource-based theory (RBT) and dynamic capacity theory (DCT) that may be used to pinpoint the sources of competitive advantages, the interdependence of their constituent parts, and the methods for gaining competitive advantage.

The most recent results of the field's empirical study are presented in this book, along with important theoretical frameworks. In order to increase economic efficiency at the micro and macro levels, it reveals new and novel elements of big data analytics as well as how it might support industry competition. It is the perfect resource for academics, policymakers, businesspeople, organizations, and students. Big data has a variety of useful applications that are advancing both decision-making and industrial capabilities. However, for practitioners engaged in the study of stakeholders and their strategies, this book will be a valuable source of reference.

Further, this book has been organized in a reader-friendly way that makes it easy to understand the content. Important information that has been properly analyzed is underlined. The reader's access to materials in the book creates the possibility for more in-depth research. The case studies will offer a tried-and-true method for resolving typical issues in the subject area. The reader will be able to quickly grasp the chapters' major ideas and content.

People can engage with a virtual environment in immersive situations. This technique has several medical applications. In medical applications, the use of immersive technology is still relatively new. Immersive technologies like virtual reality, augmented reality, and mixed reality have a variety of medical uses, including improving vision, treating behavioral disorders, rehabilitating patients, and developing personalized workout regimens. This chapter's goal is to evaluate the dangers of a technology-based healthcare system that is advantageous to both patients and professionals. Immersive training systems for the medical field are used to offer instruction and enhance patient care. We give a brief summary of the functional aspects of the system before doing risk analyses using Ishikawa, Fault Tree Analysis (FTA), and Causal Loop Diagram (CLD) to draw attention to three key system concerns. This chapter will also go over risk management and monitoring procedures.

By boosting production and efficiency, Internet of Things (IoT) technology utilization has the potential to significantly improve agriculture and farming operations. The most prevalent sub-verticals in IoT applications for agriculture and farming, according to this report, were crop management and water management. The study also found that sensor data for soil moisture was a common area of attention. The study also discovered that Wi-Fi, followed by mobile technology, was the most often employed technology in the creation of IoT applications. When compared to the farming industry, it was discovered that the agricultural sector received greater research focus. These results can serve as a reference for others in the farming sector who wish to enhance and broaden their usage of IoT in order to raise productivity. The paper also identifies key topics for further investigation, including scalability, heterogeneity, the architecture of IoT systems, data processing methodology, the size of the test site or agricultural area, and IoT security.

In recent years, Virtual Reality (VR) technology has rapidly increased in importance and esteem. It offers users a virtual world in which they can form virtual habits or manage the objects in the scene with their limb movements. Users are looking for novel Human-Computer Interaction strategies as computers and information technology develop to offer a richer experience. In contrast, research on virtual scene modeling might make it easier for customers to access and have a more realistic experience. The intended article primarily focuses on the perspectives on AR and VR in the future on a global scale, taking VR strategies that depend on Scene Modelling, Statistical Analysis, and Sensor Networking and taking into consideration the research methods by examining the interactive VR technology from the perception of Visual Sensor Network (VSN), which tends to provide visual information to VR systems and also offers succinct and effective image data to aid in the creation of AR and VR. In addition, a wide range of uses tends to give the burgeoning VR business the assurance it needs to add greater value. A tried-and-true interaction mode is suggested that can significantly enhance user experiences, hence improving VR goods.

As OTT media consumption spread to India after the COVID-19 pandemic, it revolutionized the entertainment market and changed how consumers watched entertainment. Customers were compelled to stay at home due to the lockdown. A paradigm shift in consumer behavior has been brought about by it. The ease of using OTT platforms for content consumption is fuelling this industry's expansion. As smartphone technology advances and internet usage rises, OTT services are benefiting the entertainment industry. The abundance of free time and thirst for entertainment during the pandemic have influenced the demand for OTT services. The study shows that during the pandemic, data usage, internet subscribers, and the proportion of internet subscribers all increased. Cheap data plans, a growing number of people using broadband, and rising smartphone sales are the major factors fueling OTT growth. It tries to evaluate the socioeconomic engagement of OTT media firms in their promotion and strategies.

Healthcare executives are gaining the necessary benefits for patients thanks to innovations like the combination of artificial intelligence and machine learning, advancements in virtual reality, robotic process automation, and the use of bio-sensors in mobile devices, among others. With startups introducing new business models, key disruptive innovation is occurring, and the future appears promising, with investments totaling US$ 679 million in 2018. However, there is a dearth of literature on this phenomenon in the context of India. The current chapter aims to spark discussion within the Indian healthcare industry about disruptive and digital innovation to identify what types of disruption agents, such as technological enablers, business models, and value networks, appear to be emerging from various innovation clusters in relation to their digital transformational efforts and to assist policymakers in making informed decisions.

Businesses and employees are under pressure to adapt as a result of quick globalization and expansion of digital technology. In the business world, the phrase “digitalization” today refers to the need for organizations to adopt it if they want to stay updated. Prior studies have focused on the impact of digitalization on marketing and organizational success, including consumer preferences, buying patterns, and customer relationship management. Academic research, particularly that on HRM, tends to give less weight to how it affects internal business. Consequently, the goal of this research is to learn more about human resource management in the digital age. The goal of this study is to show how digital HRM can improve organizational effectiveness.

Industry 4.0, which was established in 2011, refers to a more advanced level of industrialization in which the entire process is managed by automatic or artificial intelligence-enabled machinery with very little room for human interaction. With the help of this technology, a networked channel for continuous data flow has been established between the production unit's machines and electronic retailers (E-retailers). Based on the data these retailers receive from the production unit's machines over the network, they offer services like cloud computing and other services. Data from customers, manufacturers, and workers, among others, is shared among machines via the internet; these machines send data via sensors from client machines/computer systems to service provider organizations, and these service providers analyze massive amounts of data using high-tech computer systems. The rationale behind this is to provide more customized services as well as add more value for clients; this will establish trustworthy relationships between clients and service providers, enhancing client loyalty towards the e-retailer and consumer loyalty towards the manufacturing unit at the same time.

In today's society, digitalization is an instrument, but it is also a means of survival that opens up new options, such as knowledge without time constraints through continuous education. This current study delves in to the unique ideas, practical examples, and models that have been adopted globally as disruptive technologies of their outcomes and related problems, thus demonstrating the fundamentals of sustainability with its implementation in modern society. The study critically assesses the benefits and challenges of contemporary transformation as well as the effectiveness of these technical processes. The aspect of UN SDG-9 has also been discussed in the study that how current technologies are working towards achieving this digitalization in industries to satisfy this United Nations target.

When it comes to global energy requirements, consumption, and energy sources, the last century and recent past were heavily reliant on various types of fossil fuels. These fossil fuel energy sources have long served humans, powering the Industrial Revolution in the 17th and 18th centuries. However, like other natural resources, fossil fuel supplies are rapidly declining and are anticipated to run out in the near future. The world is currently experiencing its worst energy crisis in history. In recent years, important events like the COVID-19 pandemic, the post-pandemic economic recovery, the recent Russia-Ukraine war, and harsh weather conditions caused by greenhouse gas emissions and global warming have resulted in a severe energy crunch in terms of fossil fuels. This has had a significant impact on the lives of the common populace. As a result, an attempt has been made to ascertain the general population's comprehension of numerous ideas linked to energy and its sources, problems and solutions in terms of the global energy crisis.

This chapter seeks to comprehend the potential factors that influenced the audience and acceptability of OTT platforms during the COVID-19 pandemic. The general public's consumption of entertainment, as well as their perception of it, has grown rapidly over the years. The demand for such services is growing all the time, resulting in high acceptance rates among the general public. The onset of the COVID-19 pandemic has favorably impacted the OTT landscape in terms of consumer viewership, content generation and distribution across OTT platforms, and customer involvement on the part of service providers. In comparison to the previous year, the subscription growth rate for OTT Service providers surged seven times around March 2020. It might be assumed that OTT platforms have inexorably become a part of the common person's life. Many factors have influenced the inclusion and expansion of this service, including Intention of Use, Accessibility, Content Quality, and Free Time, to name a few.

Women have disproportionately been affected by the COVID-19 outbreak, undoing decades of progress toward gender equality. Women-led firms have suffered badly economically, particularly in the pandemic-affected industries. The Sustainable Development Goals (SDGs) are a call to action in the United Nations 2030 Agenda to foster prosperity by addressing global challenges such as poverty and inequality (SDGs 5 and 9), with a special emphasis on catalyzing women's innovation-led entrepreneurship, resulting in economic empowerment for the world's future. Recent research has revealed the type of assistance that women-owned businesses require the most in order to recover and continue operation. These include government grants and stimulus funding, as well as private sector capital and financing, innovation assets for implementing cutting-edge technology and participating in technology-intensive activities, programs and trainings to advance digital and entrepreneurial skills. It is critical to actively support and promote public-private initiatives that assist women entrepreneurs in adapting to new technologies, innovating, developing digital skills, and improving access to financing and financial support. In light of Industry 5.0, the goal of this research is to identify the crucial characteristics that can support innovation driven by female entrepreneurs.

Higher education is the backbone of any country, determining where we stand and where we wish to go. The goal of higher education is to offer students a platform to improve their knowledge, skills, and attitude in their chosen field of study. Each course has its own set of objectives and learning outcomes that should be expected upon completion. Despite these attempts, there is a significant gap in terms of the skill set required to make a student employable. This is one of the bottlenecks in the overall teaching-learning system. Through this research chapter, the author seeks to identify systemic gaps and proposes a redesigned approach to achieving higher education's goals.

One of the most important technological developments in recent years is the idea of the Internet of Things (IoT). The Internet of Things, to put it simply, is a system whereby all people, organizations, and objects are connected to one another across a network segment to continuously exchange data without the need for human involvement, fully stoking business. The ease of tracking efficiency has never been greater, thanks to technology. More than ever, communication tools, wearable computing devices, trackers, and other technologies are influencing business and daily life. This chapter tries to provide a history of IoT deployment in HRM. The emergence of mobile job seekers and the use of microchips to manage personnel are just two examples of how the expansion of the Internet of Things (IoT) is expected to change the way businesses and human resources departments function.

All facets of human existence are significantly influenced by artificial intelligence, and technology is supposed to enhance human welfare. Healthcare is a significant area in this regard, and artificial intelligence is accelerating development. With the help of smart gadgets, AI can deliver improved healthcare services. Using the Internet of Things (IoT) and artificial intelligence, small, portable gadgets are now improving the quality of life for people. These tools are used to diagnose and treat a variety of brain illnesses in addition to assisting in the diagnosis of diseases like Alzheimer's disease. The survey is conducted to better understand how patients and healthcare professionals (doctors and nursing staff) feel about artificial intelligence. Super specialty private hospitals in Vizag, Andhra Pradesh, and the capital region of Odisha are included in the study's scope.

Thus, the goal of this book is to provide a high-quality publication with unique insights and techniques of application for current scholars and readers. This book provides an excellent summary of how Big Data analytics transforms organizations and organizes long-term competitive innovation.