Information Audit Strategies: A Panacea for Decision Making Success

Authors: Ernest, Lekebari Nwidebom and Prof. P. Nwinyokpugi

Abstract:
This study examined information audit strategies and decision making success of tertiary institutions in Rivers State, Nigeria. The study adopted cross-sectional field survey. The population of the study consisted of five (5) tertiary institutions in Rivers state which include 279 principal officers. The study used Census method, hence the 279 principal officers drawn from the five institutions under study. Structured questionnaire was used as instrument for collection from the respondents. Spearman Rank Order Correlation analysis was used to test the hypotheses at 0.7 coefficient. The findings revealed that a strong positive relationship exists between data authentication and measures of decision making success on service quality, vision accomplished and valued added. The study also found that a strong positive relationship exist between Information application and measure of decision making success on service quality, vision accomplished and valued. Also it was discovered that there exist a relationship between data infrastructure and services quality of tertiary institutions in Rivers state. Finally, the findings revealed that there exists a strong positive relationship between Data Source and measures of decision making success on service quality, vision accomplished and value added. Based on the findings, it was concluded that information audit strategies positively enhance decision making success of tertiary institutions in Rivers State. Nigeria. The results clearly indicate that there is a significant relationship between these two variables. Based on this conclusion, it was recommended that all tertiary institutions should adopt information audit strategies dimensions: data authentication, information application, data infrastructure and data source identified in this study be utilized as it enhances decision making success measures, service quality, vision accomplished and value added.

Keywords: Information Audit, Data Authentication, Data Infrastructure, Informat5ion Application, Data source, Service Quality, Value added

Download pdf