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Audit sampling strategies and frauds: an evidence from Africa
Purpose This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by professionals to increase detection rates of frauds and corruption within the public sector in Africa. It also examines...
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Published in: | Managerial auditing journal 2022-01, Vol.37 (1), p.170-192 |
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creator | Nagirikandalage, Padmi Binsardi, Arnaz Kooli, Kaouther |
description | Purpose
This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by professionals to increase detection rates of frauds and corruption within the public sector in Africa. It also examines the respondents’ perceived values regarding the reasons for committing frauds, types of fraud and corruption, as well as the aspects of audit sampling strategies to tackle frauds.
Design/methodology/approach
This research uses non-parametric statistics and logistic regression to analyse the respondents’ opinions regarding the state of frauds and corruption in Africa (particularly in Tunisia and non-Tunisia countries), the common factors behind people committing frauds, including the types of frauds and corruption and the respondents’ opinions on the use of audit sampling strategies (non-random and random) to examine the instances of frauds and corruption.
Findings
The findings indicate that most respondents prefer to use non-probabilistic audit sampling rather than more robust sampling strategies such as random sampling and systematic random sampling to detect frauds and corruption. In addition, although there are some minor statistical differences between the countries in terms of the respondents’ perceived values on skimming fraud and on the use of audit random sampling to tackle rampant corruption in Africa, the overall findings indicate that opinions do not significantly differ between the respondents from Tunisia and other countries in terms of the types of fraud, the reasons for committing fraud and the auditing sampling strategies used to investigate the frauds.
Research limitations/implications
This research serves as an analytical exploratory study to instigate further audit sampling research to combat rampant fraud and corruption in the public sector in Africa.
Originality/value
There are few or non-existent studies investigating the application of audit sampling strategies in Africa countries, particularly to examine the application of audit random sampling and audit non-random sampling strategies to detect fraudulent activities and corruption. Correspondingly, this research carries strategic implications for accountants and auditors to successfully detect fraudulent activities and corruption in Africa. |
doi_str_mv | 10.1108/MAJ-06-2020-2695 |
format | article |
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This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by professionals to increase detection rates of frauds and corruption within the public sector in Africa. It also examines the respondents’ perceived values regarding the reasons for committing frauds, types of fraud and corruption, as well as the aspects of audit sampling strategies to tackle frauds.
Design/methodology/approach
This research uses non-parametric statistics and logistic regression to analyse the respondents’ opinions regarding the state of frauds and corruption in Africa (particularly in Tunisia and non-Tunisia countries), the common factors behind people committing frauds, including the types of frauds and corruption and the respondents’ opinions on the use of audit sampling strategies (non-random and random) to examine the instances of frauds and corruption.
Findings
The findings indicate that most respondents prefer to use non-probabilistic audit sampling rather than more robust sampling strategies such as random sampling and systematic random sampling to detect frauds and corruption. In addition, although there are some minor statistical differences between the countries in terms of the respondents’ perceived values on skimming fraud and on the use of audit random sampling to tackle rampant corruption in Africa, the overall findings indicate that opinions do not significantly differ between the respondents from Tunisia and other countries in terms of the types of fraud, the reasons for committing fraud and the auditing sampling strategies used to investigate the frauds.
Research limitations/implications
This research serves as an analytical exploratory study to instigate further audit sampling research to combat rampant fraud and corruption in the public sector in Africa.
Originality/value
There are few or non-existent studies investigating the application of audit sampling strategies in Africa countries, particularly to examine the application of audit random sampling and audit non-random sampling strategies to detect fraudulent activities and corruption. Correspondingly, this research carries strategic implications for accountants and auditors to successfully detect fraudulent activities and corruption in Africa.</description><identifier>ISSN: 0268-6902</identifier><identifier>EISSN: 1758-7735</identifier><identifier>DOI: 10.1108/MAJ-06-2020-2695</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Accountability ; Audit engagements ; Audit quality ; Auditing ; Big Data ; Corporate governance ; Corruption ; COVID-19 ; Economic growth ; Fraud ; GDP ; Gross Domestic Product ; Public sector ; Public services ; Sampling techniques ; Transparency ; Trends</subject><ispartof>Managerial auditing journal, 2022-01, Vol.37 (1), p.170-192</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-7e4664396e09ae5f86a3ee38ed5c82b2e113e2f531745064bb0fc5d2e50ffaa13</citedby><cites>FETCH-LOGICAL-c410t-7e4664396e09ae5f86a3ee38ed5c82b2e113e2f531745064bb0fc5d2e50ffaa13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2614253281/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2614253281?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Nagirikandalage, Padmi</creatorcontrib><creatorcontrib>Binsardi, Arnaz</creatorcontrib><creatorcontrib>Kooli, Kaouther</creatorcontrib><title>Audit sampling strategies and frauds: an evidence from Africa</title><title>Managerial auditing journal</title><description>Purpose
This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by professionals to increase detection rates of frauds and corruption within the public sector in Africa. It also examines the respondents’ perceived values regarding the reasons for committing frauds, types of fraud and corruption, as well as the aspects of audit sampling strategies to tackle frauds.
Design/methodology/approach
This research uses non-parametric statistics and logistic regression to analyse the respondents’ opinions regarding the state of frauds and corruption in Africa (particularly in Tunisia and non-Tunisia countries), the common factors behind people committing frauds, including the types of frauds and corruption and the respondents’ opinions on the use of audit sampling strategies (non-random and random) to examine the instances of frauds and corruption.
Findings
The findings indicate that most respondents prefer to use non-probabilistic audit sampling rather than more robust sampling strategies such as random sampling and systematic random sampling to detect frauds and corruption. In addition, although there are some minor statistical differences between the countries in terms of the respondents’ perceived values on skimming fraud and on the use of audit random sampling to tackle rampant corruption in Africa, the overall findings indicate that opinions do not significantly differ between the respondents from Tunisia and other countries in terms of the types of fraud, the reasons for committing fraud and the auditing sampling strategies used to investigate the frauds.
Research limitations/implications
This research serves as an analytical exploratory study to instigate further audit sampling research to combat rampant fraud and corruption in the public sector in Africa.
Originality/value
There are few or non-existent studies investigating the application of audit sampling strategies in Africa countries, particularly to examine the application of audit random sampling and audit non-random sampling strategies to detect fraudulent activities and corruption. Correspondingly, this research carries strategic implications for accountants and auditors to successfully detect fraudulent activities and corruption in Africa.</description><subject>Accountability</subject><subject>Audit engagements</subject><subject>Audit quality</subject><subject>Auditing</subject><subject>Big Data</subject><subject>Corporate governance</subject><subject>Corruption</subject><subject>COVID-19</subject><subject>Economic growth</subject><subject>Fraud</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Public sector</subject><subject>Public services</subject><subject>Sampling techniques</subject><subject>Transparency</subject><subject>Trends</subject><issn>0268-6902</issn><issn>1758-7735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNptkE1Lw0AQhhdRsFbvHgOe185-ZiN4CMX6QcWLnpdtdrakNEndTQT_vQn1Inial-F9ZuAh5JrBLWNgFq_lCwVNOXCgXBfqhMxYrgzNc6FOyQy4NlQXwM_JRUo7AMYlkzNyXw6-7rPkmsO-brdZ6qPrcVtjylzrsxDd4NPdmDP8qj22FY67rsnKEOvKXZKz4PYJr37nnHysHt6XT3T99vi8LNe0kgx6mqPUWopCIxQOVTDaCURh0KvK8A1HxgTyoATLpQItNxsIlfIcFYTgHBNzcnO8e4jd54Cpt7tuiO340nLNJFeCm6kFx1YVu5QiBnuIdePit2VgJ0l2lGRB20mSnSSNyOKIYIPR7f1_xB-t4gfVnGbA</recordid><startdate>20220103</startdate><enddate>20220103</enddate><creator>Nagirikandalage, Padmi</creator><creator>Binsardi, Arnaz</creator><creator>Kooli, Kaouther</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X1</scope><scope>7XB</scope><scope>8AO</scope><scope>AFKRA</scope><scope>ANIOZ</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20220103</creationdate><title>Audit sampling strategies and frauds: an evidence from Africa</title><author>Nagirikandalage, Padmi ; Binsardi, Arnaz ; Kooli, Kaouther</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-7e4664396e09ae5f86a3ee38ed5c82b2e113e2f531745064bb0fc5d2e50ffaa13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accountability</topic><topic>Audit engagements</topic><topic>Audit quality</topic><topic>Auditing</topic><topic>Big Data</topic><topic>Corporate governance</topic><topic>Corruption</topic><topic>COVID-19</topic><topic>Economic growth</topic><topic>Fraud</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Public sector</topic><topic>Public services</topic><topic>Sampling techniques</topic><topic>Transparency</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nagirikandalage, Padmi</creatorcontrib><creatorcontrib>Binsardi, Arnaz</creatorcontrib><creatorcontrib>Kooli, Kaouther</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Accounting & Tax Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central</collection><collection>Accounting, Tax & Banking Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Managerial auditing journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nagirikandalage, Padmi</au><au>Binsardi, Arnaz</au><au>Kooli, Kaouther</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Audit sampling strategies and frauds: an evidence from Africa</atitle><jtitle>Managerial auditing journal</jtitle><date>2022-01-03</date><risdate>2022</risdate><volume>37</volume><issue>1</issue><spage>170</spage><epage>192</epage><pages>170-192</pages><issn>0268-6902</issn><eissn>1758-7735</eissn><abstract>Purpose
This paper aims to investigate how professionals such as accountants, auditors, senior civil servants and academics perceive the use of audit sampling strategies adopted by professionals to increase detection rates of frauds and corruption within the public sector in Africa. It also examines the respondents’ perceived values regarding the reasons for committing frauds, types of fraud and corruption, as well as the aspects of audit sampling strategies to tackle frauds.
Design/methodology/approach
This research uses non-parametric statistics and logistic regression to analyse the respondents’ opinions regarding the state of frauds and corruption in Africa (particularly in Tunisia and non-Tunisia countries), the common factors behind people committing frauds, including the types of frauds and corruption and the respondents’ opinions on the use of audit sampling strategies (non-random and random) to examine the instances of frauds and corruption.
Findings
The findings indicate that most respondents prefer to use non-probabilistic audit sampling rather than more robust sampling strategies such as random sampling and systematic random sampling to detect frauds and corruption. In addition, although there are some minor statistical differences between the countries in terms of the respondents’ perceived values on skimming fraud and on the use of audit random sampling to tackle rampant corruption in Africa, the overall findings indicate that opinions do not significantly differ between the respondents from Tunisia and other countries in terms of the types of fraud, the reasons for committing fraud and the auditing sampling strategies used to investigate the frauds.
Research limitations/implications
This research serves as an analytical exploratory study to instigate further audit sampling research to combat rampant fraud and corruption in the public sector in Africa.
Originality/value
There are few or non-existent studies investigating the application of audit sampling strategies in Africa countries, particularly to examine the application of audit random sampling and audit non-random sampling strategies to detect fraudulent activities and corruption. Correspondingly, this research carries strategic implications for accountants and auditors to successfully detect fraudulent activities and corruption in Africa.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/MAJ-06-2020-2695</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | Accountability Audit engagements Audit quality Auditing Big Data Corporate governance Corruption COVID-19 Economic growth Fraud GDP Gross Domestic Product Public sector Public services Sampling techniques Transparency Trends |
title | Audit sampling strategies and frauds: an evidence from Africa |
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