Proceedings of the Annual International Conference of Business and Public Administration (AICoBPA 2018) 2019
DOI: 10.2991/aicobpa-18.2019.19
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Accounting and Its Challenges in the New Era

Abstract: This study aims on providing the impact of industrial revolution 4.0 on accounting systems. This review paper provides the challenges into 4 (four) issues that are realtime accounting, big data, intellectual capital (IC) and accounting practitioners. This study elaborates that the existence of disruptive era changes the traditional accounting by pushing it to declare the real-time accounting and not only rely on the periodic information, as the revolution deals more with high-volume of data which is called big… Show more

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Cited by 8 publications
(6 citation statements)
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References 18 publications
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“…In The influence of Industry 4.0 on the accounting system has indirectly transformed the role of accounting into a more advanced digital system. As a result, the accounting will gradually evolve from a traditional to a technological system (Damayanti, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…In The influence of Industry 4.0 on the accounting system has indirectly transformed the role of accounting into a more advanced digital system. As a result, the accounting will gradually evolve from a traditional to a technological system (Damayanti, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…Workers benefit from accomplishing more in less time by using this method. Using an information system to expedite data analysis could simplify the process [6]. Improved accounting systems have had a greater impact on companies' systems.…”
Section: Efficiencymentioning
confidence: 99%
“…The analysis of data will no longer focus on historical data but towards big data produced by the system. Big data is characterized by the high volume of updated and unstructured data in a complex set of software (Damayanti, 2019). The ability to work with AI-based and Big Data technology will help accountants to utilize data produced by the system and generate meaningful information for users to use in decision making (Wahyuni, 2020).…”
Section: Thementioning
confidence: 99%