AI-Enabled HRM and Organizational Resilience of Telecommunication Companies in Rivers State, Nigeria.

Abstract

The study was motivated by the increasing need for Telecommunication companies to develop flexible and responsive workforces capable of coping with technological changes, changing customer requirements, regulatory pressures, and competitive Nigeria business environments. The study examine the relationships between AI-Enabled HRM and Organizational Resilience of Telecommunication Companies in Rivers State, Nigeria. The study adopted a census, quantitative research approach and a correlational research design. The population comprised the manager of 5 major Telecommunication companies in River State. Data were collected through a structured questionnaire, while the hypotheses were tested using appropriate inferential statistical techniques. AI-Enabled was used as predictor variable while Organizational Resilience was measured through Anticipated Capability, Response Capability and, Adaptation Capability. Primary data were collected using structured questionnaire, while validity was confirmed by academic supervisors, reliability was confirmed using Cronbach’s Alpha coefficients above 0.70. Out of 84 questionnaires administered, 55 usable copies were retrieved and use for the analysis with the aid of SPSS version 27.0. The findings established a positive and significant relationship between AI-Enabled HRM and Organizational Resilience. Specifically, effective AI-Enabled will enhanced the ability of the Telecommunication companies to respond rapidly to environmental changes, adapt their operations to emerging requirements, and flexibly deploy employees and organizational resources. The study further established that improved AI-Enabled contributes to enhancing business ability to withstand any difficulties through increased Anticipation Capability, Response Capability and Adaptation Capability. The study concludes that AI-Enabled Human Resource Management (AI-Enabled HRM) has a positive and significant relationship with the anticipated capability of telecommunication companies in Rivers State, Nigeria. The study recommends Telecommunication companies in Rivers State should strengthen their AI-enabled HRM systems to improve their ability to anticipate future workforce challenges and opportunities. Management should deploy AI-supported workforce analytics to forecast staffing requirements, identify emerging skill gaps, predict employee turnover and detect changes in employee competencies. Early identification of these issues will enable the organisations to prepare appropriate human-resource strategies before potential challenges affect organisational operations.