References

BJAR

British Journal of Advanced Research

BJAR

3153-709X

Ivory and Finch Publishers

10.68263/BJAR-3H72PSF7

BJAR_OCT_26_043

Original Research Article

Artificial Intelligence-Driven Workplace Transformation and Employee Voice in the Nigerian Oil and Gas Industry

IBIBA AMBIE GEORGEWILL

Dr.

Department of Employment Relations and Human Resource Management, Faculty of Administration and Management, River State University Ibiba.georgewill@rsu.edu.ng AMBIE GEORGEWILL

IBIBA

rivers state university

10 11 2026

1 5

Artificial Intelligence (AI) has emerged as an important driver of workplace transformation, influencing how organisations organise work, make decisions, monitor employees, develop skills and deliver services. Unlike earlier forms of workplace automation that primarily focused on replacing manual or repetitive tasks, contemporary AI systems can analyse large volumes of data, support managerial decisions, predict operational outcomes, monitor performance and interact with employees and customers. The study examines the relationships between Artificial Intelligence-Driven Workplace Transformation and Employee Voice in the Nigerian Oil and Gas Industry. The study adopted a cross-sectional survey in its investigation of the variables. The primary source of data was generated through a structured questionnaire. The population of the study was 4,700 employees from 17 selected Oil and Gas companies in Rivers State, Nigeria. The sample size was determined using the Taro Yamane formula at a 5% precision, and the result was 369. Therefore, the study respondents were made up of 369 employees from the oil and gas industry. Artificial Intelligence-Driven workplace Transformation was used as a predictor variable, while Employee Voice was measured with employee participation in decision-making, Upward Communication and expression of Concerns. The validity was confirmed by academic experts, and reliability was confirmed using Cronbach’s Alpha coefficients above 0.70. The hypotheses were tested using Spearman’s Rank Order Correlation Statistics. The tests were carried out at a 0.05 significance level. Findings from the study revealed that there is a significant relationship between Artificial Intelligence-Driven Workplace Transformation and Employee Voice in the Nigerian Oil and Gas Industry. The study concludes that Artificial Intelligence-Driven Workplace Transformation significantly influence Employee Voice in the Nigerian Oil and Gas Industry. The study recommends that oil and gas companies should establish structured mechanisms that allow employees to participate meaningfully in decisions concerning the introduction and implementation of artificial intelligence technologies.

Artificial Intelligence-Driven Workplace Transformation Employee Voice Employee Participation in decision-making Upward Communication and Expression of Concerns

16 10 2026 20 10 2026

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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