arbiter
JournalsAccount

The Relationship Between Leadership Decision-Making Styles and Employee Performance in Government Public Sector

Yuxiong Lu et al.

Journal of Organizational and End User Computing2026https://doi.org/10.4018/joeuc.400561article
AJG 1ABDC B
Weight
0.50

Abstract

Leadership decision-making styles exert a significant influence on employee performance, yet the underlying mechanisms are seldom linear, as heterogeneity, nonlinear responses, and cross-level dependencies often complicate the relationships. To address these complexities, this study proposes a Hybrid Multi-Method Framework (HMMF) that integrates four complementary perspectives: symmetric structural modeling to estimate direct and mediated paths, configurational analysis to capture equifinality and causal asymmetry, necessary-condition testing to identify noncompensatory constraints, and cross-level evaluation to account for organizational context. Applied to diverse organizational settings, HMMF examines how leadership styles, mediators, and moderators jointly shape performance and is benchmarked against widely used single-paradigm approaches such as PLS-SEM, CB-SEM, and fsQCA. The evaluation covers explanatory power, predictive relevance, configurational strength, and robustness, and results show that HMMF consistently outperforms these baselines.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.4018/joeuc.400561

Or copy a formatted citation

@article{yuxiong2026,
  title        = {{The Relationship Between Leadership Decision-Making Styles and Employee Performance in Government Public Sector}},
  author       = {Yuxiong Lu et al.},
  journal      = {Journal of Organizational and End User Computing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/joeuc.400561},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The Relationship Between Leadership Decision-Making Styles and Employee Performance in Government Public Sector

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.