GLIMS Journal of Management Review
and Transformation
issue front

Triptii Shelkke, Divya Rahul Jain and Mallika Singh2

First Published 9 Dec 2025. https://doi.org/10.1177/jmrt.251398084
Article Information Volume 4, Issue 2 September 2025
Corresponding Author:

Triptii Shelkke, Thakur Institute of Management Studies & Research, Mumbai, Maharashtra 400101, India.
Email: trtgbs@gmail.com

1 Thakur Institute of Management Studies & Research, Mumbai, Maharashtra, India

2 Thakur Global Business School, Mumbai, Maharashtra, India

Abstract

This research article explores the impact of neurotechnology on employee motivation and workplace productivity. With the growing integration of brain–computer interfaces (BCIs) and neurofeedback in professional settings, this study aims to understand whether these technologies can enhance cognitive performance, emotional regulation and focus—key elements that drive motivation and, in turn, boost productivity. Neurotechnology can positively influence employee motivation by optimising brain activity, ultimately leading to improved workplace performance. This study investigates the impact of neurotechnology—specifically BCIs and neurofeedback—on employee motivation and workplace productivity. Using a qualitative systematic literature review guided by PRISMA 2020, we reviewed 15 peer-reviewed studies published between 1996 and 2025, primarily from Asian contexts. The findings reveal that neurotechnological tools can enhance cognitive performance, emotional regulation and attentional control, thereby positively influencing workplace motivation and productivity. However, ethical concerns regarding data privacy, consent and technostress present significant challenges. The study provides evidence-based recommendations for HR professionals and managers to ethically integrate neurotechnology into employee development strategies while ensuring psychological safety and informed consent.

Keywords

Neurotechnology, systematic literature review, PRISMA 2020, brain–computer interface, neurofeedback, motivation–productivity link, HR technology

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