Analyzing the data on the Holistic Impact of Intrinsic and Extrinsic Rewards on Employee Performance: A Case of School Staff of an Asian Country

Authors

  • Falaq Memon Department of Public Administration, SALU University Pakistan.
  • Irfan Ahmed Lashari Department of Public Administration, SALU University Pakistan.
  • Humaira Dogar Department of Public Administration, SALU University Pakistan.
  • Shumaila Phulpoto Three Gorges University China,

DOI:

https://doi.org/10.62019/abbdm.v4i1.128

Abstract

Intrinsic and extrinsic rewards play significant roles in influencing employee performance and motivation. The primary objective of this study is to ascertain the correlation between various forms of rewards—both intrinsic and extrinsic—and employee performance. It seeks to examine the interconnection between extrinsic and intrinsic rewards and their impact on employee performance comprehensively. Furthermore, the study aims to identify the factors influencing private schools in adopting effective practices and a structured approach towards recognizing staff contributions. To achieve these objectives, descriptive statistics were utilized to gather demographic information. Subsequently, inferential statistics were employed to analyze the relationships between variables. A total of 70 questionnaires were distributed among the teaching staff of a private school, yielding 65 accurate responses. The findings indicate a statistically significant positive influence of both intrinsic and extrinsic rewards on employee job performance. Additionally, the study reveals a strong predictive relationship between these independent variables and employee job performance within the workplace.

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Published

2024-03-24

How to Cite

Memon, F., Lashari , I. A., Dogar , H., & Phulpoto, S. . (2024). Analyzing the data on the Holistic Impact of Intrinsic and Extrinsic Rewards on Employee Performance: A Case of School Staff of an Asian Country . The Asian Bulletin of Big Data Management, 4(1), 108–120. https://doi.org/10.62019/abbdm.v4i1.128