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The Influence of Training Program on Employee Performance at Telecommunications Company Limited

Modester Peter Mgeta
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Modester Peter Mgeta: Institute of Accountancy Arusha (IAA), Tanzania

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 4, 382-399

Abstract: This study examines the influence of training programs on employee performance at Telecommunications Company Limited using Human Capital Theory as the guiding framework. The study adopts a descriptive research design to systematically observe and describe the influence of training programs and employee performance. A mixed-methods approach is employed, integrating both quantitative and qualitative data. The quantitative component focuses on numerical data collection through structured surveys and statistical analysis, while the qualitative component explores employees’ perspectives through interviews. The study targets a population of 248 employees at Telecommunications Company, categorised into middle management, supervisors, and general staff. Using Yamane’s formula, a sample size of 153 respondents is determined. Purposive sampling is used for selecting middle management and supervisors, while simple random sampling ensures the representativeness of the general staff. Data collection methods include semi-structured interviews for qualitative insights and structured questionnaires utilising a 5-point Likert scale for quantitative analysis. Thematic analysis is applied to qualitative data to identify key patterns and themes, while descriptive and inferential statistics are used to analyse quantitative data. Multiple linear regression analysis, conducted through SPSS Version 26. The study findings reveal that training programs significantly enhance employee performance by improving skills, efficiency, and adaptability to technological advancements. However, challenges such as budget constraints, training accessibility, and alignment with job roles limit their full effectiveness. To address these issues, the study recommends regular training needs assessments, increasing hands-on learning opportunities, improving accessibility through e-learning, and implementing structured evaluation systems.

Date: 2025
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