基于大数据驱动的神宁集团员工培训研究

发布时间：2018-02-13 21:58

本文关键词： 员工培训大数据驱动　出处：《宁夏大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着世界经济全球化发展,市场竞争愈演愈烈,在这样的激烈环境下,一个企业要想在竞争中立于不败之地,就必须有一支强大的人才队伍作为支撑,人才队伍的整体素质不仅来自于每一个个体所来带的自身能量,还取决于这种自身能量与企业的配合和在工作中的不断提升,而这就离不开企业对员工的培训。培训可以使员工的个人能力与企业的战略规划相匹配,也可以通过不断的培训使员工的工作技能逐渐提高,以适应市场和科技的发展,最终得以提升企业竞争力为企业创造更高的效益。因此,员工培训也越来越被企业所重视,并把此作为一项战略任务和人力资源开发的核心。在大数据背景下,利用科技手段从纷繁复杂的数据中提取有用的员工培训数据信息,深层挖掘培训需求,利用科学的统计方法,及时提供个性化培训,并为决策者提供清晰的培训思路,形成切实可行的培训计划对企业员工进行培训,具有重要的意义。本文以大数据驱动下的员工培训为研究对象,以神宁集团为研究样本,以国内外员工培训理论和大数据理论为研究基础,运用经济学、企业管理学、统计学等学科的理论知识结合实际,分析了神宁集团员工培训管理工作的现状及存在的问题,并从大数据的角度分析了大数据对于员工培训管理的数据化、投资精准化、创新优化、培训资源的合理利用及员工的个性成长等方面的驱动作用,对神宁集团员工培训有了比较全面、有效的研究,有针对性的提出了大数据驱动下的员工培训管理保障措施。希望对神宁集团员工培训管理工作提供帮助。本文主体内容的基本框架分为五个部分,第一部分绪论:对本文的研究意义和目的、国内外研究现状、以及内容结构和研究方向作了明确的阐述。第二部分:对大数据的定义、特征和员工培训的定义特点进行了研究,并对大数据驱动对员工培训的影响进行了分析。第三部分:分析了神宁集团目前员工培训工作的现状、主要问题,及原因。第四部分:从大数据的角度分析了大数据对于员工培训管理的数据化、投资精准化、创新优化、培训资源的合理利用及员工的个性成长等方面的驱动作用。第五部分提出了为保证大数据对员工培训管理工作的有效驱动需要达到的保障措施。
[Abstract]:With the globalization of the world economy and the fierce competition in the market, if an enterprise wants to remain invincible in the competition, it must have a strong talent team as its support. The overall quality of the talent team not only comes from each individual's own energy, but also depends on the cooperation of this kind of energy with the enterprise and the continuous improvement in the work. This can not be separated from the training of employees by enterprises. Training can match the individual abilities of employees with the strategic planning of the enterprise, and through continuous training they can gradually improve their working skills in order to adapt to the development of market and science and technology. Therefore, employee training has been paid more and more attention to by enterprises, which is regarded as a strategic task and the core of human resource development. Using scientific and technological means to extract useful employee training data information from the complicated data, deep mining training needs, using scientific statistical methods to provide timely personalized training, and to provide clear training ideas for decision makers. It is of great significance to form a practical training plan for the employees of enterprises. This paper takes the staff training driven by big data as the research object and the Shenning Group as the research sample. Based on the theory of staff training at home and abroad and big data's theory, this paper analyzes the present situation and existing problems of staff training and management in Shenning Group based on the theory and knowledge of economics, enterprise management, statistics and so on. From big data's point of view, the paper analyzes the driving effect of big data on employee training management in terms of data, investment precision, innovation and optimization, rational use of training resources and the growth of employees' personality, etc. There is a more comprehensive and effective research on the staff training of Shenning Group. This paper puts forward the staff training management safeguard measures driven by big data. It hopes to help the staff training management of Shenning Group. The basic framework of this paper is divided into five parts. The first part of the introduction: the significance and purpose of this study, the current situation of research at home and abroad, as well as the content structure and research direction. Part two: the definition of big data, characteristics and the characteristics of the definition of staff training were studied. The third part analyzes the current situation and main problems of staff training in Shenning Group. Part 4th: from big data's point of view, the paper analyzes the digitization, investment precision, innovation and optimization of big data for staff training management. The 5th part puts forward the guarantee measures to ensure big data's effective drive to staff training management.
【学位授予单位】：宁夏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F272.92;F426.21

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