System: A core conceptual modeling construct for capturing complexity

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The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggesting the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of “system” should be a separate, and core, conceptual modeling construct and argues for incorporating it and related concepts, such as emergence, into existing approaches to conceptual modeling. The work conducts a synthesis of the ontology of systems and general systems theory. These modeling foundations are then used to propose a CESM+ template for conducing systems-grounded conceptual modeling. Several new conceptual modeling notations are introduced. The systemist modeling is then applied to a case study on the development of a citizen science platform. The case demonstrates the potential contributions of the systemist approach and identifies specific implications of explicit modeling with systems for theory and practice. The paper provides recommendations for how to incorporate systems into existing projects and suggests fruitful opportunities for future conceptual modeling research.

论文关键词:System,Systemism,Conceptual modeling,Complexity,CESM+,Emergent properties,Ontology,Bunge Systemist Ontology (BSO),Retrospective case study,Citizen science

论文评审过程:Received 15 August 2021, Revised 2 August 2022, Accepted 3 August 2022, Available online 23 August 2022, Version of Record 7 September 2022.

论文官网地址:https://doi.org/10.1016/j.datak.2022.102062