The Impact of Intelligent Systems on Management Accounting

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Intelligent Information Technologies Pub Date : 2023-06-13 DOI:10.4018/ijiit.324601
Sara Marques, Rui Gonçalves, Renato Lopes da Costa, L. Pereira, Á. Dias
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引用次数: 1

Abstract

In today's competitive and changing business environment, the concern about technologies and intelligent systems has gained more notoriety. However, companies still have many tasks performed by humans; in the medium-term, intelligent systems will become more present in companies and will perform tasks that are currently done by humans much more efficiently. There is a need for companies to adapt and to start thinking about combining human and intelligent systems capabilities. This research was focused specifically in the management accounting profession, as these professionals spend a lot of time collecting and organizing data, doing repetitive tasks that can be easily and quickly accomplished by intelligent systems. This research studied the impact that artificial intelligence, big data, and internet of things can have in this profession.
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智能系统对管理会计的影响
在当今竞争激烈和不断变化的商业环境中,对技术和智能系统的关注已经得到了更多的关注。然而,公司仍然有许多任务由人类执行;在中期,智能系统将更多地出现在公司中,并将更有效地执行目前由人类完成的任务。公司需要适应并开始考虑将人类和智能系统的能力结合起来。这项研究主要集中在管理会计行业,因为这些专业人士花费大量时间收集和组织数据,做重复的任务,这些任务可以通过智能系统轻松快速地完成。这项研究研究了人工智能、大数据和物联网对这个行业的影响。
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来源期刊
International Journal of Intelligent Information Technologies
International Journal of Intelligent Information Technologies COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.50
自引率
0.00%
发文量
28
期刊介绍: The International Journal of Intelligent Information Technologies (IJIIT) encourages quality research dealing with (but not limited to) the following topics: •Agent-based auction, contracting, negotiation, and ecommerce •Agent-based control and supply chain •Agent-based simulation and application integration •Cooperative and collaborative systems •Distributed intelligent systems and technologies •Human-agent interaction and experimental evaluation •Implementation, deployment, diffusion, and organizational impact •Integrating business intelligence from internal and external sources •Intelligent agent and multi-agent systems in various domains •Intelligent decision support systems
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