An exploratory study on innovative competency mapping and its relevance for talent management

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Jaskiran Kaur, Kawaljeet Singh
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引用次数: 1

Abstract

Abstract The purpose of the current research is to find differences in IT workers’ skill sets across management tiers. The goal of this research is to learn how competency mapping is being utilised to evaluate various people’s skill sets so that the best teams can be formed and the best possible results can be achieved. A total of 236 IT workers in Tricity (Chandigarh, Panchkula, and Mohali) participated in the research, which found that competence mapping had a favourable impact on a variety of HR procedures. This research used a variety of statistical methods—it uses several statistical methods and tests to arrive at its conclusions. When compared to lower and higher levels of management, the research finds that the abilities of medium-level managers are greater than expected. There are also considerable variations amongst workers at various levels of management. The gap in competence may be reduced via conversation and training. This study may help human resources specialists determine which skills are most important at various managerial tiers. It may also provide insight on how to use a competence mapping methodology to improve productivity. The results of the competency mapping model are vital because they help both the individual and the company understand what knowledge, skills, and abilities are required for a certain position.
创新能力图谱及其与人才管理的相关性研究
摘要当前研究的目的是发现不同管理层IT员工技能的差异。这项研究的目的是了解如何利用能力映射来评估不同人群的技能,从而形成最佳团队,并取得最佳结果。Tricity(昌迪加尔、潘奇库拉和莫哈利)共有236名IT工作者参与了这项研究,研究发现,能力图谱对各种人力资源程序都有有利影响。这项研究使用了多种统计方法——它使用了几种统计方法和测试来得出结论。研究发现,与较低和较高级别的管理人员相比,中层管理人员的能力高于预期。不同管理层的工人之间也存在相当大的差异。能力差距可以通过对话和培训来缩小。这项研究可能有助于人力资源专家确定哪些技能在各个管理层最重要。它还可以提供关于如何使用能力映射方法来提高生产力的见解。能力映射模型的结果至关重要,因为它们有助于个人和公司了解某个职位所需的知识、技能和能力。
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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