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Leong, Pui Yie (2024) How can SMEs adopt AI for accounting processes in Singapore despite challenges like cost or technical expertise? [Dissertation (University of Nottingham only)]

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Abstract

In the 20th-century digital age, the terms "transformation of functions" and "automation of routine maintenance processes" are frequently used to characterize initiatives aimed at boosting productivity and efficiency while, naturally, reducing the cost of recruiting human resources.

The use of robotic process automation, which automates mundane routine tasks, where technology has advanced to the point that some jobs could disappear or change by 2030.

We are surrounded by a plethora of new technologies and innovations in the twenty-first century. It is vital for us as individuals to be motivated to keep up with these technological developments because they have a significant impact on career employment. Technology-related assessments measure your knowledge of technology in addition to technical skills. Interview questions often revolve around the type of enterprise applications that are prerequisites for the job position. Additionally, an AI-powered screening tool is utilized to go through resumes and CVs and find key terms that will help narrow down the pool of applicants short-listed for interviews. This is an issue that affects both you and me because it is practical, and highly important to the corporate world.

The purpose of this report looks into how SME can adopt AI for accounting processes in Singapore despite costs challenges and limited technical expertise, the barriers from SME perspective and accounting professionals’ navigation within SME as AI integration increase, the effects of technology, and how human-robotic interactions will impact data accuracy and organizational trust.

This report delves into both successful case studies and some failure case studies of AI adoption in SME in the Singapore market as well as globally. The report's findings would be helpful in addressing the problems that can be identified, if not, it shall provoke further consideration in this situation.

Item Type:	Dissertation (University of Nottingham only)
Keywords:	artificial intelligence, accounting
Depositing User:	Leong, Pui Yie
Date Deposited:	02 Aug 2024 08:32
Last Modified:	02 Aug 2024 08:32
URI:	https://eprints.nottingham.ac.uk/id/eprint/77559

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