The integration of automation within supply chains (SC) and manufacturing has been propelled by technological advancements, with hyperautomation emerging as a transformative paradigm. This paradigm combines artificial intelligence (AI), robotic process automation (RPA), machine learning (ML), and the Internet of Things (IoT) to enhance operational efficiency. Despite its growing relevance, hyperautomation remains unexplored. Thus, this chapter examines hyperautomation through a theoretical framework, analyzing scholarly articles, industry reports, and relevant publications. It presents an understanding of hyperautomation as a pivotal technology for future SC and manufacturing systems. The findings clarify its core principles, operational workflows, and underlying mechanisms, highlighting its capacity to redefine business processes, SCM, production, and logistics. By synthesizing diverse perspectives, this study seeks to address the current knowledge gap, offering theoretical insights that advance scholarly discourse and inform future developments in SC and manufacturing automation.

The study thoroughly investigates unexplored impact of HRM strategies in less developed countries. It delves into pivotal strategic agility role as mediator among HRM strategies & sustainable competitive advantage. The study aims to establish basic knowledge and emphasize connections linking HRM strategies and SCA, with strategic agility playing mediating role. The information was collected from various internet platforms and analyzed using CB-SEM to assess proposed model. The results found that strategic agility is crucial mediating impact in enhancing HRM strategies influence on competitive advantage. The paper ends by highlighting theoretical and practical contributions, research limitations, and recommendations for future studies.

Many factors are thought to be a cause of organizational politics in any organization and in past research, it is empirically tested that leadership is one of those factors. Exploitative and despotic leadership causes politics in organizations but ethical leadership discourages it. However, the role of the laissez-faire leadership style in organizational politics is yet to be thoroughly investigated. This research aims to study the role of Laissez-Faire Leadership in Organizational Politics. Moreover, it also focuses on the mediating role played by Esprit De Corps and the moderating role of Employee GRIT upon the phenomenon of Organizational Politics resulting from Laissez-Faire Leadership on the top. Data was collected through a questionnaire survey from the employees of the National Highways and Motorway Police (NHMP) a Law Enforcement Agency and a Public Sector Organization. Data analysis was done through SPSS and AMOS software. The study findings revealed that Laissez-Faire Leadership results in Organizational Politics and is positively related to it. These findings were found to be in conformity with the Conservation of Resources Theory. The results also confirmed the mediating role of Esprit De Corps in the above-said phenomenon, thus, supporting the Cognitive Evaluation Theory. It was indicated that Laissez-Faire Leadership has a negative relationship with Esprit De Corps and likewise, Esprit De Corps has a negative relationship with Organizational Politics. Moreover, it also confirmed that Employee GRIT does have a moderating effect, on the relationship between Laissez-Faire Leadership and Organizational Politics mediated by Esprit De Corps and is negatively related. This finding corroborated what GRIT theory advocates. In the end, the implications, limitations of this study, and future directions have also been discussed.

Sustainable supply chains often face challenges of operational uncertainty and institutional constraints as data-driven decision-making is complex process. Classical AI/ML focuses on efficiency and technical performance often overlooking employee well-being and transparent decision-making. The existing studies link explainable AI with transparency and interpretability, while scalability and optimizing efficiency are valuable implications of quantum computing. This demands to develop a conceptual framework for quantum XAI (QXAI) as a unique socio-technical resource exploring both technical and cognitive aspects. Therefore, this chapter situates QXAI as a dual-nature job resource within Job Demands Resources (JD-R) theory, through an integrative and semi-systematic review approach that can enhance quality decision making, employee well-being and sustainable performance in context of supply chain industry. The chapter further demonstrates that QXAI can concurrently improve operative competence, reinforce environmental authority, and endorse social sustainability in emerging economies.