Early Traces of Materiality and Relevance Principles in Luca Pacioli’s Tractatus XI

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
C. Rainero, G. Modarelli, A. Migliavacca, Riccardo Coda
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引用次数: 1

Abstract

This paper aims to investigate the materiality and relevance principles, as observed from a historical perspective, specifically as shown in the Tractatus XI of Summa de Arithmetica, Geometria, Proportioni et Proportionalita, printed in Venezia in AD 1494 by Franciscan friar Luca Pacioli, a real cornerstone for bookkeeping literature. Materiality and relevance principles are today fundamental to manage information and are discriminating for information acceptance. This research questions about how these principles are present in the Pacioli’ treatise. Seven fragments from the Tractatus, within which traces of relevance and materiality can be found, are extracted and analyzed under the IASB theoretical framework and their historical background. This paper contributes to the literature by investigating the principles through a historical approach, that is selected to explore the topic and to argue about the possible causes for which it is possible to find early traces of relevance and materiality in Pacioli's work. Moreover, this research is a contribution to keep the debate open on the need for the participation of the academic world and practitioner, in the standard-setting process, that is currently lacking.
卢卡·帕乔利《论十一》中物质性和相关性原则的早期痕迹
重要性和相关性原则是当今管理信息的基础,并对信息的接受有区别。这项研究质疑这些原则如何出现在Pacioli的论文中。本文在国际会计准则理事会的理论框架和历史背景下,对《Tractatus》中的七个片段进行了提取和分析,从中可以找到相关性和重要性的痕迹。本文通过历史方法研究这些原则,为文献做出了贡献,选择了历史方法来探索这个主题,并讨论可能的原因,因为有可能在Pacioli的工作中找到相关性和重要性的早期痕迹。此外,这项研究有助于就目前缺乏的学术界和实践者参与标准制定过程的必要性进行公开辩论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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