Managing Technology Integration For Human Resources In Industry 5 0

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Managing Technology Integration for Human Resources in Industry 5.0

Although the transition between the first three industrial revolutions took more than a century, Industry 4.0 is progressing quickly. The emergence of digitalization has been rapid thanks to the development of cutting-edge technologies. Though we are witnessing this rapid technological decentralization and interconnectivity at present, organizations and researchers are already discussing Industry 5.0 where full integration of the human side of business and intelligent systems is expected. In this scenario, it is essential to look forward to such strategic workplaces that allow a combination of humans and technology to assure a high degree of automation merged with the cognitive skills of business leaders. Managing Technology Integration for Human Resources in Industry 5.0 provides insights into the impact of the Industrial Revolution 4.0 on human resources. It provides insights for both industry and academia to assist them in teaching and training the next generation leaders through universities and corporate training. Covering topics such as business performance, human technology integration, and digitalization, this premier reference source is an essential resource for human resource managers, IT managers, organizational executives and leaders, entrepreneurs, students and educators of higher education, librarians, researchers, and academicians.
Sustainable Development in Industry and Society 5.0: Governance, Management, and Financial Implications

Author: Atiku, Sulaiman Olusegun
language: en
Publisher: IGI Global
Release Date: 2024-07-26
As the world pivots towards a future defined by technological advancement, the pursuit of sustainable development faces intricate challenges that intertwine governance, management, and finance. The rapid growth of Industry and Society 5.0 necessitate innovative governance frameworks that can balance economic growth with environmental responsibility and social equity. Effective management strategies are crucial to integrating sustainable practices within both industry and society, ensuring that progress does not come at the expense of future generations. Sustainable Development in Industry and Society 5.0: Governance, Management, and Financial Implications offers an exploration of the multifaceted challenges and strategies for achieving sustainability in the era of advanced technological and societal transformation. This book delves into innovative governance frameworks that balance economic growth with environmental and social priorities. Covering topics such as financial literacy, policy and law, and sustainable investment, this book is a valuable resource for policymakers, academicians, researchers, government officials, business leaders, managers, financial analysts, technologists and innovators, post-graduate students, and educators.
Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management

Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.