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European Journal of Training and Development ; : 20, 2022.
Article in English | Web of Science | ID: covidwho-1819793

ABSTRACT

Purpose This study aims to review the role of green training and green work life balance (GWLB) on sustainable organizational performance (SOP) with a moderating variable "Emotional Intelligence" (EI). Design/methodology/approach For the development of the construct of the present study, a Scopus database was selected and research papers published in indexed journals were considered. Relevant keywords were selected and literature was searched on green training, EI, SOP, GWLB. The literature was reviewed to find out the linkage and possibility of development of integrated model. The main focus was on highlighting the relevance of green training on GWLB and its influence on SOP. Findings SOP can be achieved with the intervention of EI and GWLB;further green training is one of the influential practices of human resource development (HRD) which helps to develop the green behavior. Research limitations/implications It can give new insight to the organization for application of green human resource practices for SOP. Development and designing the cohesive environmental work culture and willingness to protect environment through green training can be implemented by HRD. Perhaps, the application of green training encourages GWLB. Practical implications Quantitative research and cross sectional study is required to find out the intervening role of EI and work-life balance between green training and SOP across a broader range of sectors. Originality/value This research extends the literature review and developed a new integrated model which shows the link between green training and SOP.

2.
2021 International Conference on Technological Advancements and Innovations, ICTAI 2021 ; : 238-243, 2021.
Article in English | Scopus | ID: covidwho-1730984

ABSTRACT

In today's world, life without technology is not possible. Continuous advancement in patient health monitoring techniques, medical equipment's or machines and other enhancing technologies is ongoing as per recent trends in specifically healthcare sector in order to reduce human efforts. Taking into consideration the serious nature of the above aforementioned problem, it is necessary to make some major improvements in the communication devices and systems with application-based technology in order to enhance their performance thereby saving medical costs and achieve other major advantages. The principal objective of this paper is to provide a system for remote and secure monitoring of healthcare information of patient suffering from virus and utilizing a mobile device as per the patient requirements. In this paper, a proposed model measure the temperature of the body, respiratory system especially lung sound and breathing activity, which are the main source of symptoms to understand the actual health condition of a person. And data sensed by the IoT sensor device used for measuring the real-time data body temperature, lung sounds, respiratory data, pulse rate and heartbeat. © 2021 IEEE.

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