Books published by IGI Global

In today's modern business world, the dominant factor of any organization's success is human capital. Appropriately acquiring and managing talented staff is crucial to the growth and development of companies and provides them with a considerable competitive advantage in the industry. Further study on the importance of talent management is required to ensure businesses are able to thrive in the present environment. Post-Pandemic Talent Management Models in Knowledge Organizations discusses strategic human resource management and the talent management of post-modern knowledge-based organizations during the COVID-19 pandemic and post-pandemic paradigm. Covering critical topics such as organizational performance and creative work behavior, this major reference work is ideal for managers, business owners, entrepreneurs, academicians, researchers, scholars, instructors, and students.

"This reference set discusses the impact social media has on an individuals' identity formation as well as its usage within society and cultures, exploring new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole"--

"This reference set discusses the impact social media has on an individuals' identity formation as well as its usage within society and cultures, exploring new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole"--

"This reference set discusses the impact social media has on an individuals' identity formation as well as its usage within society and cultures, exploring new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference book of contributed chapters discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry and presents emerging technologies and developments within the field of sentiment analysis and opinion mining"--

"This reference set provides a thorough consideration of the innovative and emerging research within the area of machine learning, discussing how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow while covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics"--

"This reference set provides a thorough consideration of the innovative and emerging research within the area of machine learning, discussing how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow while covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics"--

There is a need to be aware of the challenges awaiting us in next generation (NextGen) networks in order to take the proper steps to either minimize or eliminate issues as they present themselves. Incorporating artificial intelligence in NextGen networks for privacy and security policies will serve this purpose. It is essential to stay current with these emerging technologies and applications in order to maintain safe and secure communications in the future. Challenges and Risks Involved in Deploying 6G and NextGen Networks explores strategies for the design and deployment of more secured and user-centered NextGen networks through artificial intelligence to enrich user experience. It further investigates the political, social, and geographical challenges involved in realizing these 6G networks and explores ways to improve the security of future potential applications as well as protect user data from illegal access. Covering topics such as deep learning algorithms, aerial network communication, and edge computing, this major reference work is an indispensable resource for regulatory and policy groups, associations and technology groups, government and international bodies, technology executives and technical institutions, management consulting and advisory firms, communication engineers, network engineers, students and educators of higher education, researchers, and academicians.

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Provides a thorough overview of the ways in which organisations have had to change and adapt to the new business environments and considers how networking looks different in a post-COVID-19 world.