Reducing the Expectation Gap

Nickson, Ray; Neikirk, Alice

doi:10.1007/978-3-319-77782-5_7

Cited by 2 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers have discussed the expectations from the auditors, the audit expectation gap (AEG) and their role in fraud detection (Okafor and Otalor, 2013;Ruhnke and Schmidt, 2014;Salehi, 2016;Nickson and Neikirk, 2018). Although, according to IAASB Annual Report (2009), the management of the entity itself is responsible for the fraudulent activities, and the auditor's role is limited and accountable for obtaining reasonable assurance that the finan-cial statements are free from any substantial misstatement.…”

Section: Literature Reviewmentioning

confidence: 99%

The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection

Mittal¹,

Kaur²,

Gupta³

2021

EJOBSAT

View full text Add to dashboard Cite

Globally, the financial industry in the recent times has witnessed various forms of fraudulent activities in the financial markets creating dilemma for the professionals, and the auditors who owns responsibility of ensuring accuracy and transparency. This article aims at finding the emergence of Big Data technology to fraud and forensic accounting by practitioner accountants in in India. A research model and hypotheses has been developed to examine the relationship between the awareness level of forensic accounting, Big Data and intentions to use it for fraud detection using structural equation modeling. Results indicate that awareness of forensic accounting has a positive influence on practitioners' intentions to its use for fraud detection. Big data technologies mediate the relationship between awareness and intentions to use for fraud detection. The results of the study are useful in implementation of Big Data technologies into the forensic accounting domain that can facilitate combating fraud.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection

Mittal¹,

Kaur²,

Gupta³

2021

EJOBSAT

View full text Add to dashboard Cite

show abstract

The identification of risks of material misstatement based on key audit matters in line with International Standard on Auditing 701

Iwanowicz

2019

ZTR

View full text Add to dashboard Cite

The purpose of this paper is to determine what key audit matters (KAM) have been identified by statutory auditors from various audit firms in companies from various industries, which assertions appeared most often in the audit reports, and what the links were between the auditing company, KAM, the assertion and the market sector. The research sample consisted of 317 companies listed on the Warsaw (158 companies) and London (159 companies) stock exchanges. The analysis was divided into companies from the following ten market sectors: construction, chemicals, energy, mining, IT, media, automotive, real estate, oil & gas and food. The research was executed based on the analysis of annual financial statements (annual reports) and independent auditor reports that were published by in-scope entities for the latest twelve-month period available as at the date of the research (the twelve-month periods ended on December 31, 2017, and March 31, 2018). The auditors of the tested companies identified a total of 793 unique KAMs. Based on their detailed descriptions, they were then divided into 36 categories (including the cate-gory ‘none’), and they were finally mapped with a total of 2,094 assertions from 7 types. All analyses and developed charts were supported by the Microsoft Power BI data analysis tool.

show abstract

Reducing the Expectation Gap

Cited by 2 publications

References 20 publications

The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection

The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection

The identification of risks of material misstatement based on key audit matters in line with International Standard on Auditing 701

Contact Info

Product

Resources

About