In order to address environmental issues through sustainable investments, this chapter will examine the idea of green finance. The report gives a general outline of the environmental problems that are now plaguing the world, and emphasises how crucial sustainable investments are to resolve these problems. It goes into the tenets and practices of green finance, looking at different financial tools and tactics used to advance environmental sustainability. The chapter also examines the advantages and difficulties of green finance, including how rules and policies from the executive branch have aided in its expansion. The significance of green financing is emphasised as a key factor in the conclusion as a means of accelerating the shift to a more resilient and sustainable economy. Request access from your librarian to read this chapter's full text.

In this paper, we examine the potential outcomes that the coronavirus, “covid-19”, will have at the inventory market and then we propose viable ways that a pers

Algorithmic FinTech emerges as a pioneering force transforming the financial landscape in an era of fast technical breakthroughs and a new financial worldview. This study examines Algorithmic FinTech in-depth, providing light on its transformational potential, essential applications, and profound impact on the future of finance. Algorithmic FinTech is applying cutting-edge technology such as artificial intelligence, machine learning, and data analytics to optimize financial processes. This chapter examines algorithms' numerous roles in the financial industry, ranging from risk assessment and trading methods to personal financial management and lending solutions. This chapter provides an in-depth introduction to comprehending the transformational potential of Algorithmic FinTech, its applications, and its influence on traditional banking while emphasizing the importance of responsible innovation in ensuring a robust and equitable financial future.

The focal point of this chapter is the concept of organizational culture and the analysis of various factors that correlate organizational culture to organizational performance, especially in the working environment of educational institutions. Each factor impacts an employee, a teacher in our case, in terms of effectiveness and satisfaction. The way these factors come together and affect a teacher's performance, which is the learning outcome of students, is of high significance. This chapter also throws light on the literature based on organizational culture. Through a survey, the influence of the working environment on an employee has also been examined in this chapter.

The transhuman era has seen a significant shift in the public sector, with machine learning and artificial intelligence transforming HR analytics. This field has seen rapid growth, but its application in the public sector remains underexplored. This review explores the concepts and practices of HR analytics, proposing a five-step methodology for effective adoption. The study provides insights into workforce planning, recruitment, HR development, and performance management in the context of the transhuman era. It addresses critical issues such as privacy, data integrity, algorithmic bias, and public awareness. Key conditions for successful HR analytics implementation include robust data management, enhanced staff competencies, and broad acceptance of these technologies.

Integrating artificial intelligence and machine learning technology with the financial sector has resulted in the emergence of smart finance. This chapter summarizes the complex interconnection between artificial intelligence, machine learning, and the dynamic environment of financial systems. This chapter examines the expanding use of algorithms in financial decision-making and analyzes how artificial intelligence and machine learning may be applied. These applications include improving algorithmic trading techniques, enhancing the accuracy of credit scoring, optimizing risk assessment, and providing personalized customer care. Nevertheless, incorporating technology has challenges, encompassing ethical deliberations and regulatory obstacles. The chapter also explores future developments, including topics such as explainable AI, integration of blockchain technology, and the possible influence of quantum computing on financial paradigms. This research examines the complex relationship between artificial intelligence, machine learning, and the future direction of smart finance. Request access from your librarian to read this chapter's full text.