models, and cloud computing, accelerating the
commercialization of technologies like the Mixu
large model, and stimulating innovation vitality
through internal incubation mechanisms like the
Tianmei Studio. Additionally, improving technical
career development pathways, providing cross-
departmental rotation opportunities, and optimizing
compensation and benefits structures will all help
enhance employee experience and stability,
especially in retaining mid-career core employees.
These improvement measures need to be advanced in
tandem to fundamentally enhance Tencent's human
resource management efficiency and organizational
competitiveness (Li, 2024).
8 CONLUSION
Research on the reform of Tencent's performance
management system shows that the transition
between old and new systems has had a dual impact
on organizational effectiveness and employee
behavior. Before the reform, the five-star rating and
mandatory distribution mechanism, while clarifying
goal orientation, intensified internal competition and
talent loss. The root cause lies in overly subjective
evaluation criteria, rigid promotion processes, and an
excessive tilt towards short-term incentives. After the
2022 reform, the evaluation levels were simplified to
three tiers, and promotion authority was delegated to
departments, significantly reducing internal
competition (the turnover rate dropped to 9.8%) and
strengthening strategic alignment through OKRs and
long-term equity incentives. However, the new
system still faces challenges such as insufficient
differentiation in evaluations, inefficient cross-
departmental resource integration, and a single
approach to motivating young employees. These
issues stem from flaws in quantifiable metric design,
departmental silos within the organizational structure,
and the lag in cultural transformation. The study
recommends refining evaluation standards (such as
introducing data-driven dynamic metrics), optimizing
the structure of long-term incentives (such as
differentiated equity allocation), and promoting the
construction of a technology platform across business
groups to balance efficiency and fairness, achieving
dynamic adaptation of organizational strategy.
The practical significance of this study lies in
providing an optimized path for performance
management in internet companies: Firstly, it
validates the effectiveness of de-bureaucratization
and agile assessment in reducing internal
competition; secondly, it reveals the critical role of
long-term incentives and career development
channels in talent retention; thirdly, it warns
companies to be wary of the risk of weakening
incentives due to overly simplified assessments.
Theoretically, the study enriches the "dynamic
balance" theory of performance management,
emphasizing that reforms must balance strategic
execution with cultural adaptability. However, this
study still has certain limitations: the case focuses on
a single company, and the generalizability of
conclusions requires more industry samples for
validation; some data relies on public sources, and
there is insufficient long-term tracking of reform
effects; qualitative analysis of employee
psychological perceptions is lacking. Future research
could expand to multi-case comparisons, delve into
differentiated strategies for performance management
across different sizes of companies, and introduce
micro-perspectives such as employee satisfaction
surveys to more comprehensively evaluate the
effectiveness of reforms. Additionally, with the
penetration of generative AI and other technologies,
the integration of performance management tools
with digital empowerment is also worth further
exploration.
REFERENCES
Burney, L. L., & Widener, S. K., 2013. The behavioral
outcomes of incentive plans based on strategic
performance measurement systems. Accounting
Behavior Research, 25(2), 115–143.
Cao, D.Y., 2025. Five tools for optimizing performance
management. Human Resources, (3), 122–124.
Chen, H.J., 2019. Evolution from information-based human
resource management to big data human resource
management: A case study of Tencent. China
Management Informatization, 22(1), 89–91.
Chen, W., 2025. Research on strategies to improve the
effectiveness of enterprise performance management.
Business Culture, (6), 127–129.
Li, W.Y., 2024. Research and analysis on the application of
strategic performance management in enterprises.
Journal of Business and Economic Research, 7(3), 86–
91.
Li, Y.M., 2020. Research on the optimization of R&D
department performance management system based on
OKR——Take BY Group as an example. Qingdao
University.
Liu, C.L., 2021. High performance human resource
management practices to facilitate organizational
change—The exploration of ES Shenyang Company.
Northeastern University.
Tang, G., & Wei, L.Q., 2025. Strategic human resource
management.