Journal of Advances in Developmental Research

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Volume 17 Issue 2
2026

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A Comparative Study of Employees’ Perception towards AI-Based Decision-Making in Public and Private Sector Organisations

Author(s) Dr. Rekha Kumawat, Garima Jain
Country India
Abstract Artificial intelligence is increasingly becoming part of organisational decision-making, yet employees’ perception of such technology may vary according to organisational context. This study examines whether employees’ perception towards AI-based decision-making differs between public sector and private sector organisations. The study focuses on sector of employment as the independent grouping variable and employees’ perception towards AI-based decision-making as the dependent variable. A quantitative approach was adopted, and perception was measured through 15 Likert-scale statements covering accuracy, bias reduction, reliability, speed, transparency, fairness, trust, human supervision, confidence and acceptance of AI-supported decisions. The sample consisted of 203 employees, including 68 public sector employees and 135 private sector employees. Descriptive statistics and an independent samples t-test were used to analyse the data. The results indicated that private sector employees reported a higher perception mean score than public sector employees. The t-test confirmed a statistically significant difference between the two groups. The findings suggest that employees generally recognise the value of AI in improving decision quality, speed and data-driven planning, although transparency, comfort, training and human supervision remain important for strengthening acceptance.
Keywords AI-Based Decision-Making; Employee Perception; Public Sector; Private Sector; Human AI Collaboration
Field Business Administration
Published In Volume 17, Issue 2, July-December 2026
Published On 2026-07-23
DOI https://doi.org/10.71097/IJAIDR.v17.i2.2070
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Crossref DOI prefix of IJAIDR is 10.71097/IJAIDR

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