Managing the Complexity in Ethical, Social and Environmental Accounting: Engineering and Evaluating a Modelling Language

Publication date

2022

Authors

Ramautar, VijantiISNI 0000000492831396
España, SergioORCID 0000-0001-7343-4270ISNI 0000000492870029

Editors

Advisors

Supervisors

DOI

Document Type

Contribution to conference
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License

cc_by

Abstract

Assessing, reporting, and monitoring ethical, social and environmental is a key practice for sustainable business innovation. There are a plethora of methods that guide these 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. To mitigate the risk of managerial problems, reporting fatigue, loss of confidence in sustainability practices, and to manage complexity in ESEA methods we offer a new model-driven approach. We have developed an open-source, model-driven, versatile tool, called openESEA. OpenESEA parses and interprets textual models, that are specified according to a domain-specific language (DSL). This article reports on a new iteration of the creation process of our modelling language, describes the most important modelling primitives of the DSL, and reports on the validation of the DSL through user testing.

Keywords

domain-specific language, ethical social and environmental accounting, model-driven engineering, modelling language complexity, Organisational sustainability, sustainability reporting, General Computer Science

Citation

Ramautar, V & España, S 2022, 'Managing the Complexity in Ethical, Social and Environmental Accounting : Engineering and Evaluating a Modelling Language', Paper presented at Joint of the BIR 2022 Workshops and Doctoral Consortium, BIR-WS 2022, Rostock, Germany, 20/09/22 - 23/09/22 pp. 88-103. < https://ceur-ws.org/Vol-3223/ >, conference