ENTERPRISE RESOURCE PLANNING APPLICATION AND THE EFFECTIVENESS OF SELECTED MANUFACTURING FIRMS IN PORT HARCOURT
Abstract
This study examines the relationship between enterprise resource planning application and effectiveness of selected manufacturing firms in Port Harcourt. Correlational survey research design was adopted for this study as this study seek to determine the relationship between the two variables. The population of this study is thirty-two (32) manufacturing companies in Rivers State which are registered with the Rivers State branch of Manufacturers Association of Nigeria (MAN). Three key managers (production manager, marketing manager and logistics manager) were chosen as respondents from each using simple random sampling of the thirty-two firms constitute the study subject. This gave us a total of ninety-two (92) for the study. Structured questionnaire instrument title “Enterprise resource planning application and Effectiveness of selected manufacturing firms in Port Harcourt”. questionnaire was developed on five-point likert scale. The result of the Cronbach's Alpha reliability test indicates .810 which is above .70 which implies that the items are reliable. Pearson product moment correlation was used to test the hypotheses using SPSS (statistical package social sciences). This study revealed that there is a significant relationship between financial application and resource utilization of selected manufacturing firms in Port Harcourt. There is a significant relationship between human capital management and adaptability of selected manufacturing firms in Port Harcourt. There is a significant relationship between corporate services and goal accomplishment of selected manufacturing firms in Port Harcourt. The study concluded that there is a positive relationship between enterprise resource planning application and effectiveness in selected manufacturing firms in Port Harcourt. The study recommended that implementing regular workforce planning exercises to forecast future manpower needs based on business growth projections and industry trends.
