Monitoring of the impact factors of employee compensation incentive of big data enterprises based on structural equations

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Abstract

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.

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APA

Qing Qing, S., & Jiang Hua, F. (2020). Monitoring of the impact factors of employee compensation incentive of big data enterprises based on structural equations. In E3S Web of Conferences (Vol. 214). EDP Sciences. https://doi.org/10.1051/e3sconf/202021401008

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