A Study on Knowledge Employees Based on Management optimization Strategies

doi:10.1109/ISKE47853.2019.9170308

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	A Study on Knowledge Employees Based on Management optimization Strategies
	Liu, Haozhen 1; Liu, Xiaohong 2
	2019-11-01
会议日期	November 14, 2019 - November 16, 2019
会议地点	Dalian, China
关键词	Employment Human resource management Intelligent systems Career development Knowledge-intensive organizations Management strategies Optimization strategy Practical problems Value model
DOI	10.1109/ISKE47853.2019.9170308
页码	443-447
英文摘要	In order to enhance competitiveness, knowledge intensive organizations should optimize traditional job types and adopt new employee management strategies. The management optimization of knowledge employees is analyzed from three aspects: post setting, career development and use strategy in this paper. First of all, we analyze the role of knowledge employees in work itself and employee management, and explain the necessity of management optimization. Secondly, the main principles of post-based knowledge setting are put forward, and the main basis for providing work and life security for knowledge employees put forward. Third, the career development channel of knowledge employees is put forward to explain the practical problems of management optimization. Fourth, the use value model of knowledge employees is constructed, which mainly provides a theoretical basis for knowledge-intensive organizations to optimize employee structure. © 2019 IEEE.
会议录	Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019
会议录出版者	Institute of Electrical and Electronics Engineers Inc., United States
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118068]
专题	兰州理工大学
作者单位	1.Lanzhou University of Technology, School of Computer and Communication, Lanzhou, China; 2.Southwest Minzu University, College of Management, Chengdu, China
推荐引用方式 GB/T 7714	Liu, Haozhen,Liu, Xiaohong. A Study on Knowledge Employees Based on Management optimization Strategies[C]. 见:. Dalian, China. November 14, 2019 - November 16, 2019.