Author(s)

Yinuo He ¹

Affiliation(s)

¹ James Cook University, Townsville, Queensland, Australia

Corresponding Author

Yinuo He

ABSTRACT

In the era of knowledge economy, effective incentives for knowledge-based employees have an extremely important impact on reducing human resource management costs, stimulating their internal drive, and increasing their loyalty to the enterprise. Knowledge-based employees possess corresponding professional expertise and high personal qualities. They have a higher level of demand and are more focused on realizing their own value. They attach great importance to achievement motivation and spiritual motivation, possess high creativity and autonomy, and have a strong willingness to flow. The practical dilemma of motivating knowledge-based employees is that the current salary system of organizations cannot meet the personalized needs of knowledge-based employees. The article analyzes the theoretical logic of motivating knowledge-based employees and proposes an effective path for motivating knowledge-based employees, which includes establishing a people-oriented concept, analyzing personalized needs, and flexibly using various incentive methods.

KEYWORDS

Knowledge-based employees; Realistic dilemma; Theoretical logic; Practical paths

CITE THIS PAPER

Yinuo He, The Realistic Dilemma, Theoretical Logic and Practical Paths of Motivating Knowledge-based Employees. Journal of Human Resource Development (2024) Vol. 6: 43-48. DOI: http://dx.doi.org/10.23977/jhrd.2024.060206.

REFERENCES

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[5] Bai Guiyu & Luo Rundong. (2016). Research on the relationship between knowledge-based employees' welfare incentives and innovation performance. Shandong Social Science (05), 175-179+174. doi:10.14112/j.cnki.37-1053/c. 2016.05.029.
[6] Bai, Guiyu & Xu, Peng. (2019). Review and prospect of research on non-material incentives for knowledge-based employees. Monthly Journal of Finance and Accounting (11), 123-128. doi:10.19641/j.cnki.42-1290/f.2019.11.019.
[7] Zuoxue Li & Jingjing Ma. (2021). Research on the group path of motivational factors of scientific and technological talents - a QCA analysis. Science and Technology Progress and Countermeasures (19), 145-151.

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