Audit expectation gap: an empirical analysis

Olojede, Paul; Erin, Olayinka; Asiriuwa, Osariemen; Usman, Momoh

doi:10.1186/s43093-020-00016-x

Cited by 22 publications

(30 citation statements)

References 27 publications

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“…It uses data mining technology and can analyse a large number of financial accounting data as well as other types of data in accounting vouchers, account books, and statements of enterprises, and it can use statistical methods, classification, clustering and association, sequence analysis, and other methods to carry out in-depth analysis and research, reveal its original characteristics as well as internal connections, and turn it into more useful information. The correlation analysis algorithm is discussed in [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Audit Data Analysis and Application Based on Correlation Analysis Algorithm

Chen

Talha

2021

Computational and Mathematical Methods in Medicine

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Traditional audit data analysis algorithms have many shortcomings, such as the lack of means to mine the hidden audit clues behind the data, the difficulty of finding increasingly hidden cheating techniques caused by the electronic and networked environment, and the inability to solve the quality defects of the audited data. Correlation analysis algorithm in data mining technology is an effective means to obtain knowledge from massive data, which can complete, muffle, clean, and reduce defective data and then can analyze massive data and obtain audit trails under the guidance of expert experience or analysts. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounds the research status and significance of audit data analysis and application; elaborates the development background, current status, and future challenges of correlation analysis algorithm; introduces the methods and principles of data model and its conversion and audit model construction; conducts audit data collection and cleaning; implements audit data preprocessing and its algorithm description; performs audit data analysis based on correlation analysis algorithm; analyzes the hidden node activation value and audit rule extraction in correlation analysis algorithm; proposes the application of audit data based on correlation analysis algorithm; discusses the relationship between audit data quality and audit risk; and finally compares different data mining algorithms in audit data analysis. The findings demonstrate that by analyzing association rules, the correlation analysis algorithm can determine the significance of a huge quantity of audit data and characterise the degree to which linked events would occur concurrently or sequentially in a probabilistic manner. The correlation analysis algorithm first inputs the collected audit data through preprocessing module to filter out useless data and then organizes the obtained data into a format that can be recognized by data mining algorithm and executes the correlation analysis algorithm on the sorted data; finally, the obtained hidden data is divided into normal data and suspicious data by comparing it with the pattern in the rule base. The algorithm can conduct in-depth analysis and research on the company’s accounting vouchers, account books, and a large number of financial accounting data and other data of various natures in the company’s accounting vouchers; reveal its original characteristics and internal connections; and turn it into an audit. People need more direct and useful information. The study results of this paper provide a reference for further researches on audit data analysis and application based on correlation analysis algorithm.

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Section: Introductionmentioning

confidence: 99%

Audit Data Analysis and Application Based on Correlation Analysis Algorithm

Chen

Talha

2021

Computational and Mathematical Methods in Medicine

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“…Bagaimanapun, auditee mungkin memiliki pemahaman bahwa auditor tidak sepenuhnya bebas selama peninjauan mereka bergantung pada wawasan tinjauan masa lalu, masalah di unit kerja, independen selama melaksanakan auditnya berdasarkan pengalaman audit sebelumnya, permasalahan diunit kerja, yang menjadi penyebab perbedaan persepsi auditor internal. Auditee terbukti memiliki pemahaman yang cukup memadai tentang kapasitas/batas dan pekerjaan asli yang dilakukan oleh APIP sesuai dengan pedoman yang diberikan oleh otoritas publik (Olojede et al, 2020).…”

Section: Auditee Terkait Independensi Auditor Internalunclassified

“…Banyak orang mengantisipasi bahwa auditor pemerintah harus bertanggung jawab penuh atas pekerjaan mendasar mereka, mengawasi dan benar-benar melihat laporan moneter persepsi bahwa auditor internal tidak seutuhnya independen selama melaksanakan auditnya berdasarkan pengalaman audit sebelumnya, permasalahan diunit kerja, yang menjadi penyebab perbedaan persepsi auditor internal. Auditee diindikasikan memiliki pemahaman yang relatif kurang memadai tentang fungsi/kapasitas dan peran aktual yang dilakukan oleh APIP sesuai dengan regulasi yang dikeluarkan oleh pemerintah (Olojede et al, 2020). Selain itu, auditee juga memiliki ketergantungan yang tinggi pada profesi audit pemerintah, namun hal ini tidak dibarengi dengan pemahaman yang memadai tentang standar kinerja profesional berdasarkan atau seringnya kasus dan pengalaman audit sebelumnya.…”

Section: Auditee Terkait Independensi Auditor Internalunclassified

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Kesenjangan Ekspektasi Auditor Internal Dengan Auditee

Agustin¹,

Agustina²

2021

Behav. Account. Jour

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Berdasarkan hasil Laporan Keuangan Pemerintah Kabupaten Jombang atau Laporan Keuangan Pemerintah Daerah (LKPD) Fiskal Audit 2019, Badan Pemeriksa Keuangan Republik Indonesia (BPK) memberikan opini wajar tanpa pengecualian (WTP). Sedangkan hasil pemetaan Badan Pengawas Keuangan dan Pembangunan terhadap Inspektorat Kabupaten Jombang berada pada kapabilitas level 3 (berkembang). Namun demikian, masih terdapat beberapa permasalahan, tuntutan, dan keluhan tentang kinerja auditor pemerintah yang mengindikasikan ketidakpuasan publik terhadap kinerja auditor internal pemerintah daerah. Di sisi lain, hasil penilaian pemerintah daerah menunjukkan nilai yang relatif baik. Penelitian ini bertujuan untuk menginvestigasi apakah terjadi expectation gap antara auditor dan auditee pada independensi dan kualitas audit. Penelitian ini menggunakan metode penelitian kuantitatif dan pengumpulan data berupa kuesioner kemudian menganalisis data menggunakan analisis deskriptif dan independent t-test. Hasil penelitian ini menunjukkan bahwa terdapat expectation gap antara Aparat Pengawas Internal Pemerintah dan pihak yang diaudit terkait dengan independensi auditor internal, serta adanya expectation gap antara Aparat Pengawas Internal Pemerintah dan pihak yang diaudit terkait dengan kualitas audit.

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“…Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License 4.0 International License and developing, audit expectation gap (AEG) has been considered comprehensively and established to be in actuality. Examples abound, however herein is a sample: in the UK (Humphrey et al, 1993;Dewing and Russel 2002), Australia (Gay and Schelluch, 1993;Schelluch and Gay, 2006), US (Schelluch, 1996;Frank et al, 2001;Almer and Brody, 2002;McEnroe and Martens, 2001), Netherlands (Hassink et al, 2009), South Africa (Gloeck and De Jager, 1993), China (Lin and Chen, 2004), UK/New Zealand (Porter et al, 2012), Egypt (Dixon et al, 2006), Malta (Desira and Baldacchino, 2005), Singapore (Best et al, 2001), Ghana (Onumah et al, 2009), Iran (Pourheydari and Abousaiedi, 2011), Malaysia (Fadzly and Ahmad, 2004), Bangladesh (Chowdhury and Innes, 1998;Chowdhury et al, 2005;Siddiqui et al, 2009), Saudi Arabia (Haniffa and Hudaib, 2007), Lebanon (Sidani, 2007), Libya (Masoud, 2017), Nigeria (Adeyemi and Uadiale, 2011;Olojede et al, 2020), and Barbados (Alleyne and Howard, 2005).…”

Section: Introductionmentioning

confidence: 99%

An empirical investigation of the audit expectation gap: Evidence from Cameroon

Fotoh¹,

Lorentzon²,

Fossung³

2021

J. Account. Taxation

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Although the audit expectation gap has been subject to substantial research over the past two decades, it remains a controversial issue for the audit profession. This study, therefore, examines the existence of an audit expectation gap in Cameroon between auditors and users (accountants, bankers, and investors), assesses the dimensions of the gap, and relates the findings to prior findings on the expectation gap. A survey questionnaire capturing fifteen semantic different belief statements on a fivepoint Likert scale was filled by respondents (n=365). The questionnaire addressed issues concerning auditors' duties, and the consistency and usefulness of audits and audited statements of account. The results indicate significant evidence (α = 0.05) of an audit expectation gap concerning auditors' accountability to prevent as well as detect fraud and to maintain the soundness of internal control systems, and issues related to auditors' objectivity and impartiality. An expectation gap was equally observed regarding auditors' trustworthiness and whether audited statements of accounts obviously articulated the degree of guarantee and the work performed by auditors. We mainly recommend the establishment of an informative and educational platform aimed at keeping users abreast of auditors' responsibilities. These findings serve as a critical reference point for policymakers and regulators interested in enhancing audit quality and audit reliability in Cameroon and other developing economies exhibiting similar audit regulatory and socio-economic characteristics as Cameroon.

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Audit expectation gap: an empirical analysis

Cited by 22 publications

References 27 publications

Audit Data Analysis and Application Based on Correlation Analysis Algorithm

Audit Data Analysis and Application Based on Correlation Analysis Algorithm

Kesenjangan Ekspektasi Auditor Internal Dengan Auditee

An empirical investigation of the audit expectation gap: Evidence from Cameroon

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