Nyedah, B. B.
Department of Business Administration, Faculty of Administration and Management, Rivers State University, Port Harcourt, Nigeria
Email: nyedahb@yahoo.com
and
Baridam, L. Q.
Department of Business Administration, Faculty of Administration and Management, Rivers State University, Port Harcourt, Nigeria
ABSTRACT
This study examined the relationship between predictive human resource analytics and organizational performance of mobile telecommunication companies in South-South Nigeria. The study adopted a cross-sectional survey research design which is explanatory in nature. The target study element was 96 respondents from (4) four mobile telecommunication companies found on the National Communication Commission Directory operational in South-South states. Data for the study was collected through a structured questionnaire while the five (5) point Likert scale was used to measure the responses from the respondents. Cronbach’s Alpha Coefficients were used to examine the reliability of the instruments. Data was analyzed using mean and standard deviations with charts to display the study variables, while inferential statistics such as the Spearman’ Rank Order Correlation Coefficient Statistics technique was used to test the research hypotheses with the aid of a statistical package for social science version 26.0. The findings showed a positive and negative significant relationship between predictive human resource analytics and organizational performance in mobile telecommunication companies in South-South Nigeria. The study concludes that predictive human resource analytics has a strong positive and negative influence on the outcomes of organizational performance such as: market performance, and operational performance, in the mobile telecommunication companies in South-South Nigeria. The study therefore recommends that human resource practitioners in the mobile telecommunication companies in Nigeria need to incorporate the use of Keywords: Predictive human resource analytics, organisational performance, market performance, and operational performance
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