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Methodology to observe the impact of the Internet of Things on job flexibility and productivity in the IT economy

dc.contributor.authorSingh, Suryabhan Pratapen_US
dc.contributor.authorMurthy, G. Radha Krishnaen_US
dc.contributor.authorArnav, Annien_US
dc.contributor.authorMuralidhar, L.B.en_US
dc.contributor.authorSaxena, Nitesh Kumaren_US
dc.contributor.authorDeval, Vipinen_US
dc.contributor.authorNanda, Kanuen_US
dc.contributor.authorLourens, Melanie Lourensen_US
dc.contributor.authorMuda, Iskandaren_US
dc.contributor.authorKannadasan, B.en_US
dc.date.accessioned2023-03-14T06:49:39Z
dc.date.available2023-03-14T06:49:39Z
dc.date.issued2022
dc.date.updated2022-08-24T10:10:40Z
dc.description.abstractImplementing 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 responsibilitiesen_US
dc.format.extent8 pen_US
dc.identifier.citationSingh, et al. 2022. Methodology to observe the impact of the Internet of Things on job flexibility and productivity in the IT economy.en_US
dc.identifier.urihttps://hdl.handle.net/10321/4660
dc.language.isoenen_US
dc.titleMethodology to observe the impact of the Internet of Things on job flexibility and productivity in the IT economyen_US
dc.typePatenten_US

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