Work Motivation, Competence, and Behavior on Port Labor Performance and Welfare at Sunda Kelapa Traditional Port
Purpose: This study examines the effects of work competency, motivation, and behavior on the performance and welfare of Loading and Unloading Manpower (TKBM) at Sunda Kelapa Traditional Port, Jakarta, with TKBM performance as an intervening variable.
Research Methodology: A quantitative survey of all port workers was conducted using observation, questionnaires, and interviews, and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS. Measurement validity and reliability were confirmed using outer loadings, Cronbach’s alpha (α), composite reliability (CR), and Average Variance Extracted (AVE). Structural model hypotheses were tested via bootstrapping (t > 1.96, α = 0.05).
Results: After removing one invalid indicator, all remaining indicators were valid and reliable (α = 0.913–0.937; CR = 0.929–0.947; AVE = 0.586–0.640). All six direct-effect hypotheses were supported. Work competency significantly influenced motivation (β = 0.634), behavior (β = 0.443), and performance (β = 0.269). Motivation (β = 0.350) and behavior (β = 0.451) significantly affected TKBM performance, which in turn strongly determined welfare (β = 0.887). TKBM performance explained 81.1% of its variance, while welfare was explained 78.4% by performance.
Conclusions: Work competency is the primary driver of TKBM performance, influencing motivation, behavior, and performance simultaneously. TKBM performance is the key determinant of worker welfare, highlighting performance improvement as the critical path to enhancing welfare.
Limitations: The study was limited to Sunda Kelapa Traditional Port and used a cross-sectional design, restricting causal inference and generalizability.
Contributions: The study provides empirical evidence on determinants of TKBM performance and welfare in Indonesian traditional ports, contributing to literature on port labor human resource management in conventional shipping.
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