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@article{185132,
        author = {Bhoomitra Sharma and Dr. Bhavana Mehta},
        title = {An Statistical analysis of the impact of employee training on productivity},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {413-417},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185132},
        abstract = {Employee training is universally accepted as an important driver of organizational productivity, but the magnitude of its causal effect is controversial. This review consolidates evidence from meta-analyses, empirical research, and industry documentation to analyze the causality between training and productivity across industries. Evidence persists in showing that well-designed training interventions result in measurable improvements in financial performance, employee motivation, and operational effectiveness [1][2][3]. Additionally, techniques like regression analyses, meta-analyses, and quasi-experimental studies yield robust statistical evidence for causality [4][5]. Nevertheless, confounding variables, measurement constraints, and implementation expenses make up for conclusive findings [6][7]. This review assesses the validity of research to date, accentuates practical case studies, and suggests major gaps that should be addressed in future research, ultimately repositioning employee training as a strategic human capital investment and not as a discretionary expenditure.},
        keywords = {Employee Training; Productivity; Human Capital; Organizational Performance; Meta-Analysis; Quasi-Experimental Design},
        month = {October},
        }