伦理、社会和环境会计的OpenESEA建模语言和工具

V. Ramautar, Sergio España
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摘要

评估商业运作的道德、社会和环境影响是建立可持续发展的关键实践。有许多方法描述了如何执行这样的评估。这些方法通常得到信息和通信技术工具的支持。在大多数情况下,开发的工具只支持单一方法,不允许任何裁剪。因此,它们是刚性的、不灵活的。在本文中,我们提出了一种新的模型驱动方法,用于缓解由于道德、社会和环境会计方法和工具的复杂情况而产生的管理问题。我们开发了一个开源的模型驱动工具,叫做openESEA。OpenESEA解析和解释根据领域特定语言(DSL)指定的文本模型。我们已经执行了DSL工程过程的另一次迭代,这与设计科学范式是一致的。我们通过用户研究验证了新的DSL版本。因此,我们提出了一个新版本的openESEA建模语言和解释器。关于建模语言的性能、感知有用性和感知易用性方面的用户研究结果令人鼓舞,并为我们继续开发具有更多功能的新版本提供了基础。这项工作的贡献包括建模语言的新版本、解释器的新版本、围绕这些工件开发的知识,以及用于评估文本dsl质量的协议。建模语言和解释器与可持续发展从业者和顾问相关,因为我们的工具支持有可能减少道德、社会和环境会计中的冗余。我们的工作对旨在评估和降低建模语言复杂性的研究人员来说是有价值的。
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The OpenESEA Modeling Language and Tool for Ethical, Social, and Environmental Accounting
Assessing business operations’ ethical, social, and environmental impacts is a key practice for establishing sustainable development. There is a multitude of methods that describes how to perform such assessments. Often these methods are supported by an ICT tool. In most cases, the tools are developed to support a single method only and do not allow any tailoring. Therefore, they are rigid and inflexible. In this article, we present a novel model-driven approach for alleviating managerial issues that arise as a consequence of the complex landscape of ethical, social, and environmental accounting methods and tools. We have developed an open-source, model-driven tool, called openESEA. OpenESEA parses and interprets textual models, that are specified according to a domain-specific language (DSL). We have performed another iteration of the DSL engineering process, which is in line with the design science paradigm. We have validated the new DSL version by means of a user study. As a result, we present a new version of the openESEA modeling language and interpreter. The results of the user study with regards to performance, perceived usefulness, and perceived ease of use of modeling language are encouraging and provide us with a basis to continue developing new versions with more functionalities. The contributions of this work include a new version of the modeling language, a new version of the interpreter, knowledge surrounding the development of these artifacts, and a protocol for evaluating the quality of textual DSLs. The modeling language and interpreter are relevant for sustainability practitioners and consultants since our tool support has the potential to reduce redundancy in ethical, social, and environmental accounting. Our work is valuable to researchers that aim to assess and reduce the complexity of their modeling languages.
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