{"title":"EFFECT OF BIG DATA ON THE QUALITY OF AUDIT REPORTS IN ANAMBRA STATE","authors":"E. Nwadialor, Nwadi Obi","doi":"10.46654/ij.24889849.s6107","DOIUrl":null,"url":null,"abstract":"This research work is on the effect of big data on the quality of audit reports in Anambra State. The following three specific objectives were considered; to determine the effect of volume of data collected on the sufficiency of the audit reports in Anambra State, secondly, to evaluate the effect of frequency of data collected on the timeliness of audit reports in Anambra State, thirdly, to ascertain the effect of value of data collected on the verifiability of the audit reports in Anambra State. Survey research design, descriptive statistics and correlation matrix were employed alongside the pooled Ordinary Least Square (OLS) regression in analyzing the data and testing of hypotheses. The findings of the study from the three models tested were that; Volume of Data Collection (VDC) has a positive effect on the sufficiency, timeliness and verifiability of audit reports but had positive insignificant effect on the sufficiency of audit reports. Secondly, Frequency of Data Collection (FDC) has a positive significant effect on the sufficiency, timeliness and verifiability of audit reports and finally, Value of Data Collection (VALDC) has negative significant effect on the verifiability but have a positive insignificant effect on the sufficiency and timeliness of audit reports in Anambra State. The researcher recommends that: Auditor-General’s Offices and Auditing firms that wish to improve on the quality of their audit report through the use of big data collection, measured as Volume of Data Collected(VDC) and Frequency of Data Collection (FDC) in Anambra State should adopt sufficiency, timeliness and verifiability of audit reports as they have positive and significant influence on audit reports and may choose to ignore sufficiency of audit reports as though it has a positive effect but the effect is not statistically significant. Finally, for those that want to improve on the quality of their audit reports through the use of big data measured as Value of Data Collection (VALDC) in Anambra State, they may choose to ignore the use of sufficiency and verifiability of audit report as they were found to have a positive influence but this influence was statistically insignificant but should concentrate more on ensuring that they maintain good timeliness of audit reports as it has a negative significant effect on the quality of audit reports.","PeriodicalId":365412,"journal":{"name":"International Journal of Advanced Academic Research","volume":"81 17","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Academic Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46654/ij.24889849.s6107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research work is on the effect of big data on the quality of audit reports in Anambra State. The following three specific objectives were considered; to determine the effect of volume of data collected on the sufficiency of the audit reports in Anambra State, secondly, to evaluate the effect of frequency of data collected on the timeliness of audit reports in Anambra State, thirdly, to ascertain the effect of value of data collected on the verifiability of the audit reports in Anambra State. Survey research design, descriptive statistics and correlation matrix were employed alongside the pooled Ordinary Least Square (OLS) regression in analyzing the data and testing of hypotheses. The findings of the study from the three models tested were that; Volume of Data Collection (VDC) has a positive effect on the sufficiency, timeliness and verifiability of audit reports but had positive insignificant effect on the sufficiency of audit reports. Secondly, Frequency of Data Collection (FDC) has a positive significant effect on the sufficiency, timeliness and verifiability of audit reports and finally, Value of Data Collection (VALDC) has negative significant effect on the verifiability but have a positive insignificant effect on the sufficiency and timeliness of audit reports in Anambra State. The researcher recommends that: Auditor-General’s Offices and Auditing firms that wish to improve on the quality of their audit report through the use of big data collection, measured as Volume of Data Collected(VDC) and Frequency of Data Collection (FDC) in Anambra State should adopt sufficiency, timeliness and verifiability of audit reports as they have positive and significant influence on audit reports and may choose to ignore sufficiency of audit reports as though it has a positive effect but the effect is not statistically significant. Finally, for those that want to improve on the quality of their audit reports through the use of big data measured as Value of Data Collection (VALDC) in Anambra State, they may choose to ignore the use of sufficiency and verifiability of audit report as they were found to have a positive influence but this influence was statistically insignificant but should concentrate more on ensuring that they maintain good timeliness of audit reports as it has a negative significant effect on the quality of audit reports.
这项研究工作是关于大数据对阿南布拉州审计报告质量的影响。审议了下列三个具体目标:确定数据收集量对阿南布拉州审计报告充分性的影响;评估数据收集频率对阿南布拉州审计报告及时性的影响;确定数据收集价值对阿南布拉州审计报告可查证性的影响。采用调查研究设计、描述性统计和相关矩阵法,并结合合并普通最小二乘(OLS)回归进行数据分析和假设检验。从三个测试模型中得出的研究结果是;数据收集量(Volume of Data Collection, VDC)对审计报告的充分性、及时性和可验证性有正向影响,但对审计报告的充分性无显著正向影响。其次,数据收集频率(Frequency of Data Collection, FDC)对审计报告的充分性、及时性和可验证性具有显著的正向影响;最后,数据收集价值(Value of Data Collection, VALDC)对审计报告的可验证性具有显著的负向影响,但对审计报告的充分性和及时性具有不显著的正向影响。研究人员建议:审计长办公室和审计公司希望通过使用大数据收集来提高审计报告的质量,以阿南布拉州的数据收集量(VDC)和数据收集频率(FDC)为衡量标准。审计报告的及时性和可验证性,因为它们对审计报告有积极和显著的影响,可能会选择忽略审计报告的充分性,就好像它有积极的作用,但效果在统计上并不显著。最后,对于那些希望通过在阿南布拉州使用作为数据收集价值(VALDC)衡量的大数据来提高审计报告质量的人来说,它们可能选择忽略审计报告充分性和可核查性的使用,因为它们被发现具有积极影响,但这种影响在统计上微不足道,但应更多地关注确保它们保持审计报告的良好及时性,因为它对审计报告的质量具有重大的负面影响。