Aug 2026· DINAMIKA PUBLIK Jurnal Manajemen dan Administrasi Bisnis· Vol 4, pp. 115-143
Employee Performance and Management
Abstract
This study aims to investigate the causality mechanisms linking managerial style and organizational discipline to employee work effectiveness through the mediation of work expectation fulfillment. Focusing on PT Bank Rakyat Indonesia (Persero) Tbk Pekalongan Branch, this research outlines performance optimization challenges within a dynamic state-owned banking ecosystem. The inquiry emphasizes aligning leadership and rule compliance to foster a productive work climate. The inclusion of work expectation fulfillment clarifies psychological pathways transforming structural drivers into sustainable staff operational achievements, while addressing integration gaps between managerial orientation and internal banking regulatory compliance. An exploratory-explanatory quantitative approach was applied to test the proposed structural hypotheses. From a population of 180 employees, a sample of 120 respondents was drawn using purposive sampling based on specific operational qualification criteria. Primary data were collected via a structured Likert-scale questionnaire validated for validity and reliability. Measurement model evaluation and causal relationship testing were comprehensively analyzed using SmartPLS software. Variance-based Structural Equation Modeling (PLS-SEM) was selected to estimate direct and indirect paths simultaneously. Empirical findings confirm that managerial style and organizational discipline positively and significantly influence employee work effectiveness, both directly and indirectly through work expectation fulfillment. Work expectation fulfillment acts as a solid mediating variable transmitting leadership and rule compliance impacts onto performance achievement. Practical implications emphasize the necessity for management to prioritize aligning adaptive managerial supervision, fair regulatory enforcement, and psychological contract fulfillment to realize optimal, sustainable operational effectiveness.
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StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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