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Corporate And Individual Environmental Responsibility Towards Automobile
The research extended to the suppliers (auto-component manufacturers) responsibility towards the environment. The statistical tools used for this section were Chi-square (Cross-tab) and Logistic Regression with the attributes of corporate governance, product design, green procurement, environmentally friendly manufacturing, green packaging, waste management, and green inspection was used to measure their environmental responsibility
Generative AI for Transformational Management
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Robo-Advisors in Management
In the ever-evolving landscape of management, the introduction of robo-advisors has introduced challenges and opportunities that require careful examination. Organizations grapple with the profound impact of these automated systems on decision-making processes, resource allocation, and strategic planning. The need for a comprehensive understanding of how robo-advisors integrate into various management functions and sectors has become paramount. Decision-makers, researchers, and students seeking clarity in this transformative period are faced with a shortage of literature that bridges theoretical insights with practical applications. Robo-Advisors in Management stand out as a pioneering solut...
Emerging Trends in Food and Agribusiness Marketing
In the modern era, changing consumer preferences, and global economic shifts, the food and agribusiness sector finds itself at a pivotal juncture. The food production, distribution, and marketing landscape are evolving at an unprecedented pace, presenting challenges and opportunities for industry stakeholders. In response, companies must adopt innovative strategies to stay competitive and meet the growing demands for sustainability and transparency. It is essential to embrace these changes to ensure long-term viability and address the evolving expectations of consumers and regulators alike. Emerging Trends in Food and Agribusiness Marketing focuses on the unique challenges and opportunities in marketing within the agriculture industry. It blends traditional marketing principles with the nuances and emerging trends specific to agribusiness. Covering topics such as blockchain technology, food supply transparency, and organic food consumption, this book is an excellent resource for entrepreneurs, industry professionals, educators, graduate and postgraduate students, scholars, academicians, and more.
Blockchain, IoT, and AI Technologies for Supply Chain Management
Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators ...
Decentralizing the Online Experience With Web3 Technologies
The internet has undergone a remarkable metamorphosis since its inception. From the static web of the early days (Web 1.0) to the interactive and social web (Web 2.0), and now to the decentralized, intelligent, and immersive web (Web3), the evolution has been nothing short of astounding. This radical transformation has ushered in a new era in the digital realm, one that promises to reshape how we learn, communicate, transact, and interact with the world. Decentralizing the Online Experience with Web3 Technologies offers an exploration of the Web3 era, a transformative phase in the evolution of the internet. Beginning with the foundational understanding of Web3's core concepts, technologies, ...
Multi-Sector Analysis of the Digital Healthcare Industry
In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.
Technology-Driven Evolution of the Corporate Social Responsibility Ecosystem
In the field of Corporate Social Responsibility (CSR) and sustainability, a profound challenge emerges — the intersection of traditional practices with the relentless march of technology. Companies face a pressing dilemma as they navigate mandatory and voluntary CSR requirements, grapple with stakeholder demands, and strive for transparency in a digitally-driven era. The relationship between technology and CSR has become a pivotal concern, affecting compliance, monitoring, reporting, and ultimately, the very fabric of corporate reputation. This challenge calls for a nuanced understanding, and it is precisely this void that the book, Technology-Driven Evolution of the Corporate Social Respo...
Applying Drone Technologies and Robotics for Agricultural Sustainability
Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.
Artificial Intelligence and Machine Learning-Powered Smart Finance
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of comp...
