人工智能时代面向未来的数字技能:连接会计行业的市场需求和学生期望

IF 13.3 1区 管理学 Q1 BUSINESS
Adriana Tiron-Tudor , Andreea Labaditis (Cordos) , Delia Deliu
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引用次数: 0

摘要

会计行业的持续数字化暴露了雇主所要求的技能与会计毕业生自我评估的能力之间的巨大差距。本研究通过三部分分析来评估这一技能差距。首先,我们通过对LinkedIn招聘广告的内容分析,确定会计劳动力市场所需要的关键技能。其次,我们评估未来的会计毕业生的一套技能的估值和感知自己拥有说的技能使用问卷调查。第三,我们比较了这些数据集,发现学生往往没有给予与工业5.0相关的技能足够的重视。调查结果强调了市场需求与学生准备程度之间的严重偏差,强调了课程调整的迫切需要。该研究还引入了一个新的技能类别——工业5.0特有的网络、数字和技术技能,弥补了现有文献中的空白。通过比较雇主想要的技能和学生认为他们想要的技能,本研究提供了有用的信息,可用于改进课程设计,劳动力培训和长期规划。整合学术和行业观点旨在更好地为会计行业提供人工智能驱动的工业5.0未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Future-Ready Digital Skills in the AI Era: Bridging Market Demands and Student Expectations in the Accounting Profession
The ongoing digitalization of the accounting profession has exposed a significant gap between the skills demanded by employers and the self-assessed competencies of accounting graduates. This study conducts a three-part analysis to evaluate this skill gap. First, we identify key skills sought by the accounting labor market through a content analysis of LinkedIn job postings. Second, we assess prospective accounting graduates' valuation of a set of skills and perceptions of their own possession of said skills using a questionnaire. Third, we compare these datasets, revealing that students often do not give enough weight to skills related to Industry 5.0. The findings highlight substantial misalignment between market demands and student readiness, emphasizing the urgent need for curriculum adjustments. The study also introduces a novel skill category—cyber, digital, and technological skills—specific to Industry 5.0, bridging gaps in the existing literature. By comparing the skills employers want with the skills students think they want, this study provides helpful information that can be used to improve curriculum design, workforce training, and long-term planning. Integrating academic and industry perspectives aims to better equip the accounting profession for an AI-driven, Industry-5.0 future.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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