College of Bussines and Economics
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College of Bussines and Economics
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Item Factors Affecting Internal Audit Effectiveness in Governmental Sectors: Case Study in Guraghe Zone(WOLKITE UNIVERSITY, 2019-06) Abidlemewella BedewiThe main purpose of this study was investigating factors affecting internal audit effectiveness in governmental sectors in guraghe zone, SNNPRS. As a result, the study used 13 randomly selected sectors (four out of eleven regional sectors with IA work process, one & the only federal sector and eight out of fifteen zonal sectors with IA work process) out of purposively selected 27 governmental sectors that have IA work process. The sectors were stratified into three strata (federal government, regional government and zonal government related sectors). Simple random sampling was applied on each stratum to get sectors that were used to form the sample size. Distributing two types of prepared questionnaire to 128 top management & IA, primary data was collected from 116 respondents (response rate 90.625%). Descriptive statistics & OLS multiple linear regression to measure IAE and to identify factors affecting IAE were applied respectively. Internal audit independence, management support, adequate and competent internal audit staff, sufficiency of budget, level of objectivity, approved IA charter, unrestricted information access and professionally competent team leader were hypothesized factors to be investigated and all of these factors were expected to have positive and significant impact on IAE. Out of these eight factors, internal audit independence, sufficiency of budget and unrestricted information access, were factors identified to have positive and significant contribution to IAE & internal audit independence was identified to be the most important deriver of IAE. But management support, level of objectivity, approved IA charter and professionally competent team leader were investigated to have insignificant positive contribution to IAE. Beta sign to adequate and competent internal audit staff showed that the variable has negative and insignificant contribution to IAE. Regression output of the analysis showed that 62.3% of the study is explained by the model and it showed that all of the variables collectively could play very important role to contribute for IAE.