Competency mapping building a competent workforce through human resource information system

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Jayasri Puli, Srilalitha Sagi
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引用次数: 0

Abstract

Abstract Purpose: The paper focuses especially on competence mapping, a probable method for enhancing the performance of employees in a corporation by the use of the Human useful resource facts gadget (HRIS). Theoretical framework: Competency mapping is the technique of figuring out key abilities for a company or manner and incorporating those capabilities into diverse approaches such as technique evaluation, schooling, and organizational recruitment. Over the years, highly professional and knowledge based jobs are growing, whilst low-professional jobs are cutting (Mathur & Rawat, 2020). This calls for future skill mapping by proper human resource management initiatives. Methodology: Primary data is used for the study. However secondary data has also been used. Data on employee competence have been accrued from organization information, private interactions with employees, their supervisors, colleagues and employees of different departments. For this motive, several parameters of attributes, capabilities and expertise were compiled in accordance with HR suggestions and process roles that have been authorized by using HRIS of HR department. Later we have performed some statistical analysis by various statistical tools. Findings: In our study, we have found that attributes, skills and knowledge which are related to competency mapping can be increased by Human Resource Information System if it is properly managed.
透过人力资源资讯系统,建立胜任的员工队伍
摘要目的:本文重点研究了利用人力资源事实小工具(HRIS)来提高企业员工绩效的一种可能方法——能力映射。理论框架:能力映射是找出公司或方式的关键能力,并将这些能力整合到技术评估,学校教育和组织招聘等多种方法中的技术。多年来,高度专业和知识型的工作正在增长,而低专业的工作正在减少(Mathur & Rawat, 2020)。这就需要通过适当的人力资源管理举措来绘制未来的技能地图。方法:本研究采用原始数据。然而,二手数据也被使用。关于员工能力的数据是从组织信息、与员工、他们的主管、同事和不同部门的员工的私人互动中积累的。为此,根据人力资源部门的HRIS授权的HR建议和流程角色,编制了属性、能力和专业知识的几个参数。随后我们利用各种统计工具进行了一些统计分析。研究发现:人力资源信息系统在管理得当的情况下,可以增加与胜任力映射相关的属性、技能和知识。
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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来源期刊
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
自引率
21.40%
发文量
88
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