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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16542
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dc.contributor.authorSunil Kumar, L-
dc.contributor.authorAsha Rani, N R-
dc.contributor.authorMuniraja, R-
dc.contributor.authorNeelampalli, Likitha-
dc.date.accessioned2024-08-29T05:41:25Z-
dc.date.available2024-08-29T05:41:25Z-
dc.date.issued2023-
dc.identifier.citationpp. 1-5en_US
dc.identifier.isbn9798350317060-
dc.identifier.urihttps://doi.org/10.1109/ICCAMS60113.2023.10525973-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16542-
dc.description.abstractThis paper concentrates on the application of The Internet of Things (IoT) which has completely changed how businesses run and has brought about new methods for data collection and analysis. Human Resource (HR) Management is one area where IoT data can be specifically helpful because it can be utilized to guide strategic planning and decision-making. To fully understand the probability of IoT in HR analytics, this paper discusses the advantages of IoT data collection and analysis, the hitches of using IoT data in HR decision-making, and the strategies that businesses may employ to effectively use IoT data to improve their HR practices. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisher2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectDecision Makingen_US
dc.subjectHuman Resource Analyticsen_US
dc.subjectInternet Of Things (Iot)en_US
dc.subjectStrategic Planningen_US
dc.subjectWorker Engagementen_US
dc.titleIoT and HR Analytics: Leveraging Data for Informed HR Decision-Making and Strategic Planningen_US
dc.typeArticleen_US
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