The influence of task technology fit e-learning as training media on employee performance at pt xyz. This study analyzes the influence of Brismart e-learning as a training medium on employee performance at PT XYZ, using the Task Technology Fit (TTF) model. Discover a positive correlation.
The E-learning Brismart application is a system designed to enhance the quality and performance of employees at PT. XYZ to realize the company's goal of becoming The Most Valuable Banking Group in Southeast Asia and Champion Financial Inclusion. This study aims to analyze the effect of E-learning Brismart as a training medium intended for workers at PT. XYZ is using the Task Technology Fit (TTF) theory evaluation model. The research activities used questionnaires as a quantitative approach for PT. XYZ Kc Batam Nagoya employees. The analysis results show that E-learning Brismart affects employee performance at PT. XYZ Batam Nagoya Branch Office, as evidenced by the positive correlation between variables.
This paper addresses a highly pertinent topic concerning the impact of e-learning as a training medium on employee performance, specifically within the context of PT. XYZ and its Brismart application. The study's aim to evaluate E-learning Brismart using the Task Technology Fit (TTF) theory is theoretically sound and relevant, given the increasing reliance on digital platforms for corporate training and development. The abstract suggests a clear objective: to analyze the effect of this e-learning system on worker performance, concluding with a positive correlation between the variables, which highlights the potential value of such an application in achieving organizational goals. From a methodological perspective, the application of TTF theory is well-chosen for assessing a technology-driven training intervention, aligning the system's capabilities with employee tasks. The use of a quantitative approach via questionnaires for data collection among employees at PT. XYZ Kc Batam Nagoya is a practical method for gathering perceptions and experiences. However, the abstract is notably concise regarding critical methodological details, such as the specific sample size, the psychometric properties of the questionnaire, or the precise statistical methods employed beyond merely identifying a "positive correlation." This brevity limits a thorough evaluation of the study's empirical robustness and the strength of the claimed effect. Moreover, confining the study to a single branch of one company inherently restricts the generalizability of the findings to a broader context. While the preliminary finding of a positive correlation is a valuable starting point, future research could significantly enhance the study's contribution. Expanding the scope to include a larger, more diverse sample across multiple branches or even different organizations within the financial sector would greatly strengthen the generalizability of the results. Providing more granular details on the statistical analysis, including specific tests, effect sizes, and measures of statistical significance, would lend greater credibility to the claims. Furthermore, incorporating qualitative research elements, such as interviews or focus groups, could offer deeper insights into *how* TTF influences performance and the specific mechanisms through which Brismart impacts employee effectiveness, moving beyond a simple correlation to a richer understanding of the phenomenon.
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