How Often We Underestimate the Power of Recognition. Don’t Complicate It: Make It Transparent, Genuine, and Individualized

This research paper presents a novel employee recognition framework to improve organizational success by cultivating a more motivated, involved, and satisfied workforce. The new model stresses the significance of personalized, transparent, and genuine recognition techniques aligning with employees' requirements and preferences. By supporting data-driven insights and refined AI technologies, the framework helps organizations to provide convenient, meaningful, and individualized recognition that resonates with employees on a more profound level. This approach enhances employee confidence and retention, maintains organizational culture, and causes more increased performance. The paper examines the theoretical foundations of employee recognition, studies current challenges, and shows how the suggested model can be executed effectively across different organizational contexts. Adopting this innovative recognition framework can improve employee satisfaction, productivity, and overall organizational success.

Authors

Publication Details

Journal
International Journal of Business Administration
Published
2025-05-09
DOI
https://doi.org/10.5430/ijba.v16n2p1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

How Often We Underestimate the Power of Recognition. Don’t Complicate It: Make It Transparent, Genuine, and Individualized

Amena Shahid
International Journal of Business Administration
AI and HR Technologies
article

How Often We Underestimate the Power of Recognition. Don’t Complicate It: Make It Transparent, Genuine, and Individualized

Amena Shahid
article en

Abstract

This research paper presents a novel employee recognition framework to improve organizational success by cultivating a more motivated, involved, and satisfied workforce. The new model stresses the significance of personalized, transparent, and genuine recognition techniques aligning with employees' requirements and preferences. By supporting data-driven insights and refined AI technologies, the framework helps organizations to provide convenient, meaningful, and individualized recognition that resonates with employees on a more profound level. This approach enhances employee confidence and retention, maintains organizational culture, and causes more increased performance. The paper examines the theoretical foundations of employee recognition, studies current challenges, and shows how the suggested model can be executed effectively across different organizational contexts. Adopting this innovative recognition framework can improve employee satisfaction, productivity, and overall organizational success.

International Journal of Business AdministrationVol. 16(2)
Openalex Percentile: Top 89%
AI and HR Technologies
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