ABSTRACT
Covid-19 has been one of the most disruptive pandemics to date. Among the other aspects of disruption, it also disrupted the way people work in organizations. Many of the organizations surrendered their offices for good. However, there are many ill effects of these unconventional work practices also. This research study aims to explore the perception of the employees towards the adoption of Virtual and flexible work practices. The study uses a conjoint analysis approach on different possible Work Practice Profiles, that specify the nature of work (Virtual, offline, or hybrid), nature of work schedule (flexible, or fixed), nature of ownership (individual, or team), and length of working hours (8.5 hours, or 9.5 hours or 10.5 hours). The study finds that the number of working hours is the most important criterion for the employees followed by mode of work, responsibility, and work schedule. © 2023 IEEE.
ABSTRACT
The Covid-19 Pandemic has affected the entire world. Most notably, the healthcare industry has been under constant pressure to treat patients. Spikes in the number of patients have put the workforce under tremendous pressure. Doctors and nurses are finding it difficult to observe multiple patients at the same time. In addition to that, medical practitioners are reluctant to deal with the diagnosis and treatments, as it requires frequent physical intervention. The aim of this project is to reduce this strain on medical practitioners by developing a system that aims to constantly track the activity of the patients and replicate the same using a 3D Human Model. For this multiple Inertial Motion Sensors (IMU's) are used that will collect the motion data of the joints of the patient, with help of which our 3D Model will replicate the actions. The system will use Internet of Things and Cloud Computing to collect and transfer data to the web application. All the activity of the patient can be monitored using fully authenticated web applications by doctors and even by the family members. Thus with the help of the technology patients can be monitored without any physical intervention and the risk of getting affected by viruses or diseases for the doctors is also minimized. © 2022 IEEE.