Feedforward: Journal of Human Resource
Vol. 6 No. 2: September 2026

Artificial Intelligence Adoption in Human Resources Management Processes: A Corporate Start-Up Context in Developing Economies

Arachie Augustine Ebuka (Nnamdi Azikiwe University)
Nwafor Angela Ebele (Nnamdi Azikiwe University)
Obiekezie Alphonsus Emenike (Nnamdi Azikiwe University)
Ukadike Ifeanyichukwu Stewarts (Nnamdi Azikiwe University)



Article Info

Publish Date
28 Sep 2026

Abstract

This study examined the role of AI adoption in Human Resources Management (HRM) processes within corporate start-ups in developing economies. Adopting a mixed-methods survey research design, the study sampled 293 Limited Liability SME start-ups across five states in Nigeria, collecting quantitative data via primary questionnaires and qualitative insights through a thematic analysis of 12 peer-reviewed articles. A total of 215 valid responses were used for the analysis, representing a 73% response rate. Thematic findings revealed that AI plays a vital strategic role across key HRM functions, including talent acquisition, personalised onboarding, real-time performance tracking, employee retention analytics, and administrative task automation. Conversely, the empirical analysis indicated that the most critical challenges hindering AI adoption are practical constraints such as the perception that their businesses are too small to implement AI, a severe shortage of AI-skilled personnel, and a limited understanding of how AI functions in HR operations, among others. The study also revealed that AI adoption offers corporate start-ups in developing economies opportunities for efficient recruitment, personalised training, improved performance management, employee retention, administrative automation, and enhanced global competitiveness. The study concluded that AI is significant for the competitive agility and sustainable growth of corporate start-ups in emerging economies. It recommended, among others, a phased technology adoption approach alongside proactive management and government support such as training workshops, grants, and subsidised digital infrastructure to mitigate cost barriers and enhance AI literacy. The study’s focus on start-ups in five Nigerian states limits its generalisability and therefore becomes a limitation to the study.

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Journal Info

Abbrev

FF

Publisher

Subject

Social Sciences

Description

Feedforward: Journal of Human Resource aims to foster leading scientific research on human resource management. It provides a central and independent forum for the critical evaluation and dissemination of research and to publish the highest quality research with evaluation, evidence and conclusions ...