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EMPLOYEE INFORMATION SYSTEMS AND HUMAN RESOURCE PROCUREMENT IN THE OIL AND GAS SECTOR IN NIGERIA

Journal: International Journal of Human Resource Management and Research (IJHRMR) (Vol.8, No. 4)

Publication Date:

Authors : ; ;

Page : 51-64

Keywords : Employee Information System; Employee Regulatory/Management System; Employee Database Summary System; Employee Update System; Human Resource Procurement; Planning; Recruitment; Selection; Employment Contract & Induction/Placement;

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Abstract

This study ascertained the relationship between employee information systems (EIS) and human resource procurement in the oil and gas sector in Rivers State, Nigeria. The systems theory was considered as a theoretical framework for this paper with prospects viewing the interaction between the organization and its external environment. The total population size of 217 was examined for this study and a sample size of 141was obtained via the Taro Yemen's formula. Questionnaires designed and distributed to the personnel/human resources staff of 4 leading oil and gas organizations in Port Harcourt metropolis, 127 out of the 141 was returned and 121 (95.3%) was considered useful for the study. The quasi-experimental method was used in this survey to determine the influence of employee-information systems and human resource procurement. This correlational analysis suggests a greater and stronger effect as is evident in the interactions of the dimensions and measures of both the predictive and criterion variables. Spearman's correlation coefficient (r) =0.975 and the significant value =0.000≤0.05 which shows a strong relationship existing between employee information systems and human resource procurement. Globalization and technological advancement in the last decade, has birthed a new dawn for organizations: the use of information systems in various functions and capacities, of which human resources management is one of the arms of the organization that uses information systems to support activities such as identifying employees and managing their data. Conclusively, the findings show a strong, direct and positive interaction between the independent and dependent variable

Last modified: 2018-10-10 18:50:33