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

Vijanti Ramautar, Sergio España

    Research output: Contribution to conferencePaperAcademic

    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.

    Original languageEnglish
    Pages88-103
    Number of pages16
    Publication statusPublished - 2022
    EventJoint of the BIR 2022 Workshops and Doctoral Consortium, BIR-WS 2022 - Rostock, Germany
    Duration: 20 Sept 202223 Sept 2022

    Conference

    ConferenceJoint of the BIR 2022 Workshops and Doctoral Consortium, BIR-WS 2022
    Country/TerritoryGermany
    CityRostock
    Period20/09/2223/09/22

    Bibliographical note

    Publisher Copyright:
    © 2022 Copyright for this paper by its authors.

    Keywords

    • domain-specific language
    • ethical social and environmental accounting
    • model-driven engineering
    • modelling language complexity
    • Organisational sustainability
    • sustainability reporting

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