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This book chapter aimed to examine the relationships between green supply chain practices and environmental performance in Malaysian Small and Medium Enterprises (SMEs). The practices of green supply chain in achieving environmental performance have been one priority concerns in Malaysia. However, green supply chain practices adoption remains emergence.

This manuscript adopted the multiple regression analysis in investigating the green supply chain (GSC) practices and environmental performance's variables. The self-administered surveys were randomly disseminated to Malaysian SMEs and 59 responses were returned. The result theoretically ascertained the positive relationship between GSC practices and environmental performance measures.

The findings are in aligned with the Resource-Based View (RBV) theory that conceptualized the GSC practices and strategies to sustain the environmental performance within the SMEs. In a nutshell, these findings would serve as the research implications and recommendations to the scholars, industrial practitioners, and policymakers who are interested in these GSC practices and environmental performance. This would further serve as a guideline for companies that tend to implement these GSC practices for improving its environmental performance.

The research revealed that ‘eco-design and packaging’ and ‘reverse logistics’ are significant to environmental performance, but both ‘green procurement’ and ‘investment recovery’ are not significant to environmental performance. The literature gaps exhibited for this manuscript; hence, future studies should be carried out on supply chain practices and environmental performance since there is no prescriptive method in sustaining environmental performance that matches all conditions in Malaysian SMEs.

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.