Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/4660
Title: Methodology to observe the impact of the Internet of Things on job flexibility and productivity in the IT economy
Authors: Singh, Suryabhan Pratap 
Murthy, G. Radha Krishna 
Arnav, Anni 
Muralidhar, L.B. 
Saxena, Nitesh Kumar 
Deval, Vipin 
Nanda, Kanu 
Lourens, Melanie Lourens 
Muda, Iskandar 
Kannadasan, B. 
Issue Date: 2022
Source: Singh, et al. 2022. Methodology to observe the impact of the Internet of Things on job flexibility and productivity in the IT economy.
Abstract: 
Implementing this strategy and system will not only encourage workers to give
5 their utmost effort in their work, but it will also make it possible to increase the
overall productivity of the workforce. As a result, the overall productivity of the
workforce will be able to increase as a result of this. The purpose of this
disclosure is to provide a more in-depth discussion on the use of sensors
connected to the Internet of Things and software that is driven by artificial
10 intelligence to monitor employees. It is now possible to monitor the actions
taken by workers as well as the amount of time they spend in particular areas
of the workplace or carrying out particular responsibilities thanks to the
installation of a variety of sensors in various locations throughout the workplace.
This makes it possible to monitor not only the actions taken by workers but also
15 the amount of time they spend in particular areas of the workplace or performing
particular responsibilities. After the information has been gathered, it is then
transferred to an employee monitoring software that is powered by AI. This
software manages the data according to how well the employee has carried out
their responsibilities
URI: https://hdl.handle.net/10321/4660
Appears in Collections:Research Publications (Management Sciences)

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