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Pages:
1 page/≈275 words
Sources:
2 Sources
Style:
APA
Subject:
Accounting, Finance, SPSS
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 5.27
Topic:

Electronic Data Interchange (EDI) and Image-Processing Systems in Audit Evidence

Essay Instructions:

In your responses to your peers, state whether you agree or disagree with the implications provided by your classmate. What additional implications do you think EDI and image-processing systems will have on audit evidence?
Electronic data interchange(EDI) is the communication of one computer to another in which they can share electronic documents and information through a network or the use of the internet instead of on paper (IBM, 2023). While a lawyer may use an EDI system to send or receive legal documents like contracts, businesses may use an EDI system to communicate with vendors or customers to send invoices, receipts, purchase orders, etc.. "Purchase, shipping, billing, cash receipt, and cash disbursement transactions are often consummated entirely by the exchange of electronic messages between the parties" (PCAOB, 2023).
Image-processing systems aid in digitizing information so that it can be saved electronically or exchanged through an EDI system (PCAOB, 2023). Though image-processing can be a very useful tool, AU Section 326: Evidential Matter warns that documents which are scanned in may not always be accessible as electronic information can be corrupted or changed at a later date (PCAOB, 2023). Our course textbook, Auding & Assurance Services, also states that "audit evidence provided by original documents is more reliable than audit evidence provided by photocopies or facsimiles or documents that have been filmed, digitized, or otherwise converted into electronic form" (Messier et al., 2022).

Essay Sample Content Preview:


Response Post
Name
Institution
Course
Instructor
Date
Response Post
I agree with M’s post, including her implications regarding image-processing systems and EDI on audit evidence. Businesses operate conveniently due to the technologies. However, they also challenge auditors in different ways. Since using these technologies can encourage data manipulation (Gerritsen, 2021), auditors must utilize distinct audit protocols when working with digital proof. For instance, the professionals might conduct control tests to examine the electronic records’ reliability and use relevant software to derive and assess electronic information. Moreover, they need to comprehensively understand how image-processing methods and EDI work to evaluate the audit evidence’s quality. For instance, the auditors must comprehend how businesses validate

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