This chapter explores the transformative potential of artificial intelligence (AI) in enhancing employee engagement within human resource management (HRM). Guided by the PRISMA approach, it reviews the applications, benefits, and challenges of integrating AI technologies such as predictive...

Today's high-tech world has created a culture of fast-paced, multi-tasking and demands on personal and professional commitment. The dynamics of the work surroundings have exerted massive pressure on working females, the workplace has posed several challenges and problems for women. As they need...

The chapter provides a comprehensive literature review on entrepreneurship education's evolution, trends, and challenges. It outlines the historical progression of this field from a specialized area of study to its current status as a globally recognized discipline. The chapter delves into...

Artificial Intelligence (AI) is transforming Human Resource Information Systems (HRIS), enhancing how organizations manage employee retention and engagement. This review explores AI-driven advancements such as predictive analytics for turnover trends, chatbots for employee support, and AI-based...

We show that credit constraints significantly increase the risk that firms are infiltrated by organized crime, defined as the covert involvement of criminal organizations in corporate decision-making. Using confidential data on criminal investigations, credit ratings, and loan histories for the...

Does citizen belief in the non-instrumental principles of the political regime, such as strongman leadership, patriotism, or attachment to a charismatic leader, collectively known as normative support, help stabilize authoritarian regimes? While a large literature recognizes that authoritarian...

Natural calamities are perilously challenging for people and communities that are already vulnerable. The traditional forecasting methods lack precision and would be way behind in terms of adaptability due to ever-changing climatic conditions. This chapter considers a model where machine...

For some NP-hard lotsizing problems, many different heuristics exist, but they have different solution qualities and computation times depending on the characteristics of the instance. The computation times of the individual heuristics increase significantly with the problem size, so that...

In cricket, choosing the best team (Playing-11) is crucial. Cricket, as a sport, has witnessed a notable shift towards data-driven decision-making in recent years. We look at past players performance to understand how teams can predict their ideal players. This survey explores various data...