Gamified Work Systems as Behavioral Architectures: A Behavioral Economic Study of AI-Mediated Engagement in the IT Workforce.


Date Published : 28 April 2026

Contributors

Dr.A.DIVYA

SRM institute of science and technology
Author

Keywords

Gamified Work Systems; Artificial Intelligence; Employee Engagement; Behavioural Economics; Intrinsic Motivation.

Proceeding

Track

Humanities and Management

License

Copyright (c) 2026 Sustainable Global Societies Initiative

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

This study explores how traditional work structures in the IT sector, especially in Chennai, are evolving into AI-driven and gamified environments. (a) Problem Statement: The rapid integration of artificial intelligence and gamification in IT workplaces has transformed traditional organizational structures into dynamic, data-driven environments. However, the mechanisms through which AI-mediated gamified systems influence employee behaviour, decision-making, and engagement—particularly through cognitive biases such as framing effects, social comparison, and loss aversion—remain insufficiently understood, especially in the context of Chennai's IT workforce. (b) Solution: This study adopts a descriptive research design, collecting structured questionnaire data from 400–500 IT professionals in Chennai. Gamified work systems are theorized as behavioural architectures shaped by behavioural economics principles. Structural Equation Modelling (SEM) is employed to examine relationships between gamified elements—points, rewards, leaderboards, challenges, and feedback—and employee engagement, mediated by AI-driven motivation, decision framing, and cognitive immersion. (c)Significant Findings: AI-enabled gamified systems significantly enhance employee engagement by fostering intrinsic motivation and immersive work experiences. Concurrently, the findings reveal concerns regarding reduced employee autonomy and heightened algorithmic control, underscoring AI's dual role as both enabler and constraint. (d) Applications: The study offers an integrated framework combining behavioural economics, gamification, and AI, providing practical guidance for organizations to design ethical, transparent, and engagement-oriented digital work environments.

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How to Cite

ANBAZHAGAN, D. (2026). Gamified Work Systems as Behavioral Architectures: A Behavioral Economic Study of AI-Mediated Engagement in the IT Workforce. Sustainable Global Societies Initiative, 1(5). https://vectmag.com/sgsi/paper/view/487