PERFORMANCE ANALYSIS OF VIRTUAL EMPLOYEES IN AGILE TYPE HUMAN RESOURCE MANAGEMENT USING MANAGEMENT DEEP LEARNING MODEL

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Abstract

An increasing number of companies are looking to reassignment management of their HR systems. Emphasis on HRM has now shifted to the key use of workforce and the measurable effect of delegation programs on the business. Successful organizations these days must be versatile, flexible, customer focused and agile to change trends. The credibility of HRM within such a domain is imperative to business achievement. HR professionals create frameworks for execution progression, career development planning and workforce development. In this paper, the performance of virtual employees is evaluated with the help of management deep learning model. It keeps individuals excited, happy, truly engaged and adds to organizational achievement. Apart from HR expertise, it also helps to develop a corporate culture and atmosphere in which employees have the ability, concern and commitment to serve customers well. Human resource management is a knowledge system related to the goal-organized impact on people involved in labor activities to ensure the effective functioning of the organization to meet the needs and interests of employees and work groups.
越来越多的公司正在寻求重新分配他们的人力资源系统的管理。人力资源管理的重点现在已经转移到劳动力的关键使用和委派计划对业务的可衡量的影响。如今,成功的组织必须是通用的、灵活的、以客户为中心的、敏捷的,以改变趋势。人力资源管理在这一领域的可信度对企业的成就至关重要。人力资源专业人员为执行进度、职业发展规划和劳动力发展创建框架。本文利用管理深度学习模型对虚拟员工进行绩效评估。它使个人保持兴奋、快乐、真正投入,并增加了组织的成就。除了人力资源专业知识外,它还有助于培养一种企业文化和氛围,使员工有能力,关心和承诺为客户提供良好的服务。人力资源管理是一种与目标相关的知识系统,有组织地影响参与劳动活动的人,以确保组织的有效运作,满足员工和工作组的需要和利益。
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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