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This is a case of a crisis project management which showcases the unpredictable nature of the project and the role of management in handling the crisis. It is the case of a very severe cyclonic storm hitting the city of Visakhapatnam plant during October, 2014. The whole city was devastated and so was the situation in the Steel plant as it was under zero power conditions for around 10 days. This case gives need for managing an integrated steel plant in case of very severe cyclonic storm and documents the sequence of events and managing unforeseen uncertainty using NTCP concepts.

Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work and life quicker and more intelligent. The Internet of Things (IoT) is a scheme of interconnection equipped with unique identifiers in recent years. Artificial intelligence (AI) and IoT advancement allow employees to develop competent and predictive services and solutions in human resource (HR) practices. This chapter has been formulated to summarise and classify the existing research and better understand the past, present, and future of employee engagement by improving IoT interrelated devices in the healthcare industry.

Purpose: This study aims to categorise and overcome the challenges involved in HR practices. Effectively embracing IoT application-connected devices in the healthcare industry can enhance human resources management’s (HRM) role and measure performance assessment to improve employee engagement and productivity.

Methodology: In this study, the authors develop propositions dependent on a theory-based review. A systematic analysis was applied to minimise the challenges of HRM. The subject-related articles from different journal sources, like Scopus, Emerald, Web of Science, Springer, etc., were analysed based on engagement criteria. It was graphically recorded in a collective and informative way to emphasise the review outcomes. The study has presented the positive impacts of AI and IoT on engagement in health care.

Summary: This chapter accumulated theory-based knowledge about healthcare employee engagement and how IoT-based technology like AI can optimise employees’ engagement effectively. Further, it draws comparative benefits for a workforce to execute performance advancements and create future progressive aspects for healthcare employees.

The present study primarily aims to investigate the role of the high-performance work system (HPWS) in shaping learning orientation (LO). Moreover, the study delves into the examination of affective commitment's (AC) role as a mediator. Additionally, the research extends to exploring the potential moderating impact of workplace settings, specifically offline, online and hybrid workplaces, on the mediated relationship.

The model has been tested on 360 respondents from the IT sector in India. The data have been validated using confirmatory factor analysis and structural equation modeling.

The results indicate that AC mediates the relationship between HPWS and LO. Furthermore, this mediation was found to be positive and significant in hybrid and offline workplace settings, whereas it was found to be insignificant in the online workplace setting.

The self-report responses from the respondents could potentially introduce a limitation, as respondents might lead to inflated outcomes in the research findings. While Harmans’ single-factor test did not indicate any common method bias, it is important to acknowledge that this bias might not have been completely eliminated.

The present study has expanded upon the existing research on HPWS by examining its influence on LO, while also considering AC as a mediator. Furthermore, it is noteworthy that no prior studies have undertaken a comparative analysis of this relationship across various workplace settings.

The purpose of this study is to understand the views of employees about the application of distributed ledger database technology blockchain, in area of human resource management (HRM) of organizations. The current study aims to understand the views of both HR and non-HR employees of how they assess the current scenario of HRM in their organizations, their awareness about the blockchain technology and their opinion about the scope of application of blockchain in HRM.

A sample of 158 employees was collected consisting of employees working in both HR and non-HR profiles across various organizations. Chi-square test of homogeneity, log-linear analysis and basic frequencies were used to analyze the data.

The results revealed that there was no difference in viewpoints of HR and non-HR employees across all contexts related to blockchain in HRM. The study also analyzed the opinion of employees regarding advantages, organizational barriers and probable usages of blockchain in HRM.

The study will provide an insight to the organization decision-makers who are willing to roll out Industry 4.0 technology blockchain in HRM and beliefs of employees regarding acceptance of such change in organization.

This study will be a novel attempt to understand the scope of application of blockchain technology in HRM of organizations in Indian context.