A pattern-based approach to extract REA value models from business process models

Q1 Economics, Econometrics and Finance
Anis Boubaker, Abderrahmane Leshob, Hafedh Mili, Yasmine Charif
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引用次数: 5

Abstract

Business models are economic models that describe the rationale of why organizations create and deliver value. These models focus on what organizations offer and why. Business process models capture business activities and the ways in which they are accomplished (i.e. their coordination). They explain who is involved in the activities, and how and when these activities should be performed. This paper discusses the alignment between business models and business process models. It proposes a novel systematic method for extracting a value chain (i.e. business model) expressed in the Resources, Events, Agents (REA) ontology from a business process model expressed in Business Process Model and Notation™. Our contribution is twofold: (1) from a theoretical standpoint we identified a set of structural and behavioural patterns that enable us to infer the corresponding REA value chain; (2) from a pragmatic perspective, our approach can be used to derive useful knowledge about the business process and serve as a starting point for business analysis.

从业务流程模型中提取REA值模型的基于模式的方法
商业模型是描述组织创造和交付价值的基本原理的经济模型。这些模型关注组织提供什么以及为什么提供。业务流程模型捕获业务活动及其完成的方式(即它们的协调)。它们解释了谁参与了这些活动,以及这些活动应该如何以及何时进行。本文讨论业务模型和业务流程模型之间的一致性。它提出了一种新的系统方法,从业务流程模型和符号™表示的业务流程模型中提取以资源、事件、代理(REA)本体表示的价值链(即业务模型)。我们的贡献是双重的:(1)从理论的角度来看,我们确定了一套结构和行为模式,使我们能够推断相应的REA价值链;(2)从实用的角度来看,我们的方法可以用来获得有关业务流程的有用知识,并作为业务分析的起点。
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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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