E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||5|
|Section||Big Data Analysis Application and Energy Consumption Research|
|Published online||07 December 2020|
Monitoring of the impact factors of employee compensation incentive of big data enterprises based on structural equations
Shanghai Technical Institute of Electronics Information Shanghai, China
Through the perspective of employees of big data enterprises in Jiangsu, Zhejiang and Shanghai, data were obtained in the form of questionnaire research, the significance of the influence factors of compensation incentive is evaluated, and the use of the empirical method of structural equations is obtained, and all indicators play a positive incentive role. Among them, the four indicators of salary performance, prospect promotion, equity incentives and welfare benefits are highly motivating. At the same time, four countermeasures are put forward:1. While implementing long-term and short-term salary incentives, pay attention to the principle of ability and performance first; 2. Provide basic benefits and improve the retirement mechanism for employees; 3. Strengthen humanistic care and create simple interpersonal relationships and good communication atmosphere; 4. Improve the post promotion mechanism, clear employee career channel.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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