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Authors
¹ Oseni Salami; ² Prof. Hassan Barau Singhry; ³ Dr. Ada Mac-Ozigbo
1, 2, 3 Department of Business Administration,
Faculty of Management Sciences,
National Open University of Nigeria, Abuja, Nigeria
¹ [email protected], 08036833027
² 0803 072 0702
³ 0803 333 4848
ABSTRACT
The study examined the effect of Neuroadaptive Workforce Management (NAWM) on organisational resilience in Nigeria’s banking sector. The specific objectives were to determine the influence of Brain–Computer Interfaces (BCIs), Neurofeedback Training (NFT), and Cognitive Load Management Systems (CLMS) on resilience among employees of United Bank for Africa (UBA). A cross-sectional survey research design was adopted, utilising primary data collected from 378 valid responses out of 393 questionnaires distributed to UBA employees across multiple branches nationwide. Data were analysed utilising descriptive statistics, Pearson correlation, and multiple regression analyses with the Statistical Package for Social Sciences (SPSS, version 27). The model specified organisational resilience as the dependent variable, while BCIs, NFTs, organisational factors, and CLMS served as independent variables. Results revealed that NAWM components have a significantly positive effect on organisational resilience at the 1% significance level (p ≤ 0.01). Among the components, Neurofeedback Training had the strongest influence (β = 0.482, p < 0.01), followed by perceptions of BCIs (β = 0.344, p < 0.01) and CLMS (β = 0.277, p < 0.05). This indicates that employee readiness and positive perceptions toward neuroadaptive technologies substantially enhance adaptability and sustained performance in UBA. NAWM significantly improves organisational resilience, with NFTs and BCIs as key drivers, while CLMS also plays a supportive role. Management should prioritise awareness, structured implementation, and supportive policies to optimise neuroadaptive technology adoption for a resilient workforce.
Keywords: Neuroadaptive Workforce Management, Organisational Resilience, Brain–Computer Interfaces, Neurofeedback Training, Cognitive Load Management Systems
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