Feature Based Statistical Model of Employee Productivity with Real Time Checked Data

Jalaja Shanmugalingam, D. Lario, Yongsheng Ma
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Abstract

The COVID-19 pandemic has led to a decentralization of the workforce in many industries. Due to the stay-at-home orders to control the spread of the virus, many are working from home. Even though modern technological advancements have helped some companies adapt to this new norm, many others are still scrambling to find the best way to remotely manage employees and accommodate their needs. Our research shows that the current challenges organizations face in managing their human capital are like the ones they face due to workplace demographic changes. This study focuses on analyzing those challenges and how human competency can be unlocked and developed to encourage sustainable autonomous working in an office, at home, or during frequent traveling. This study investigates the challenges faced by both organizations and employees, and presents a new business model that helps with the sustainable use of human resources and improves employee efficiency.
基于特征的实时检查数据员工生产力统计模型
2019冠状病毒病大流行导致许多行业的劳动力分散。由于控制病毒传播的居家令,许多人在家工作。尽管现代技术的进步已经帮助一些公司适应了这种新规范,但许多其他公司仍在争先恐后地寻找远程管理员工并满足他们需求的最佳方式。我们的研究表明,当前组织在管理人力资本方面面临的挑战,就像他们在工作场所人口结构变化时面临的挑战一样。本研究的重点是分析这些挑战,以及如何释放和发展人类的能力,以鼓励在办公室、家里或频繁旅行中持续自主工作。本研究调查了组织和员工所面临的挑战,并提出了一种新的商业模式,有助于可持续利用人力资源,提高员工效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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