Training characteristics and employees' performance among the nurses in Pakistan
Journal of Economic and Administrative Sciences
ISSN: 2054-6238
Article publication date: 19 August 2021
Issue publication date: 3 August 2023
Abstract
Purpose
This paper aims to explore the training characteristics and employees' performance among the nurses in Pakistan.
Design/methodology/approach
The study employed cross-sectional data through random sampling of trained health nurses from the Government sector hospitals of Pakistan. The survey questionnaire is applied as the primary tool to acquire data. In total, the authors utilized 306 valid cases to infer the final results.
Findings
The structural equation modeling (SEM) underlines a positive and significant impact of cognitive ability and performance goal on employees' performance. On the other hand, there is an insignificant impact of motivation to learn on performance among the nurses of Pakistan.
Practical implications
Broadly, the findings of the study would provide some new insights to understand the performance of nurses in the health care sector through the outcomes of the training characteristics. Further, the results would be a way out to make a better quality of health care enhanced with the support of training. It may contribute to the growth in quality of work and improve work productivity by boosting up and uplifting training characteristics. The research arena would enrich the inclusive theoretical framework of performance and contribute to the domain literature and methodological validation.
Originality/value
The study confirms the role of training characteristics towards performance among the nurses of the public health sector of Pakistan. The investigation would further validate the impact of cognitive ability and the motivation to learn and performance goals on performance globally.
Keywords
Citation
Bhatti, M.K., Soomro, B.A. and Shah, N. (2023), "Training characteristics and employees' performance among the nurses in Pakistan", Journal of Economic and Administrative Sciences, Vol. 39 No. 3, pp. 625-641. https://doi.org/10.1108/JEAS-02-2021-0026
Publisher
:Emerald Publishing Limited
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