The Impact of Reward Systems on Employee Productivity

Main Article Content

Maria Arkania

Abstract

In the modern workplace, the implementation of an effective reward system is a critical strategy for enhancing employee productivity. Organizations across industries recognize that their workforce is their most valuable asset, and fostering motivation through rewards can directly influence their performance and overall company success.
This article synthesizes contemporary research on the relationship between organizational reward systems and employee productivity. Moving beyond traditional dichotomies of financial versus non-financial rewards, it analyzes the cognitive and motivational pathways through which different reward typologies impact performance outcomes. The central argument posits that the efficacy of a reward system is contingent upon its alignment with employee psychological needs for autonomy, competence, and relatedness, as outlined by Self-Determination Theory (SDT). The article reviews empirical evidence on extrinsic rewards (e.g., pay-for-performance, bonuses) and intrinsic rewards (e.g., recognition, developmental opportunities), highlighting the potential for synergistic or counterproductive effects. Key moderating factors, including equity perception, transparency, and individual differences, are examined. The conclusion proposes an integrated framework for designing multi-dimensional reward systems that foster sustainable productivity by cultivating both extrinsic motivation and intrinsic engagement. Practical implications for managers and future research directions are discussed.

Keywords:
reward systems, employee productivity, motivation, Self-Determination Theory, extrinsic rewards, intrinsic motivation, performance management
Published: Nov 17, 2025

Article Details

How to Cite
Arkania, M. (2025). The Impact of Reward Systems on Employee Productivity. Business Administration Research Papers, 10(a). https://doi.org/10.62232/barp.10.2025.10603
Section
Articles

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.