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System: A core conceptual modeling construct for capturing complexity

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System: A core conceptual modeling construct for capturing complexity

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dc.contributor.author Lukyanenko, Roman es_ES
dc.contributor.author Storey, Veda C. es_ES
dc.contributor.author Pastor López, Oscar es_ES
dc.date.accessioned 2023-05-15T18:02:14Z
dc.date.available 2023-05-15T18:02:14Z
dc.date.issued 2022-09 es_ES
dc.identifier.issn 0169-023X es_ES
dc.identifier.uri http://hdl.handle.net/10251/193400
dc.description.abstract [EN] 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, suggest-ing 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. es_ES
dc.description.sponsorship We wish to thank the editor-in-chief, Carson Woo, and three anonymous reviewers for their exceptionally insightful and developmental comments. The substantial improvements that resulted from their feedback were much deeper than we usually experience in journal review processes. We wish to thank the participants of www.nlnature.com (now inactive) who contributed their sightings from 2010 to 2022. We also thank Jeffrey Parsons and Yolanda Wiersma - the co -investigators of NLNature. We are grateful to the late Mario Bunge and to Ron Weber with whom we discussed ontological ideas that inspired this paper. We also want to thank the participants and reviewers of AIS SIGSAND and ER Conference for their comments and feedback on earlier versions of this paper. This research was supported by McIntire School of Commerce, University of Virginia, J. Mack Robinson College of Business, Georgia State University, United States, and by VRAIN Research Institute of the Universitat Politecnica de Valencia and the Generalitat Valenciana, Spain under the CoMoDiD project (CIPROM/2021/023) . es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Data & Knowledge Engineering es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject System es_ES
dc.subject Systemism es_ES
dc.subject Conceptual modeling es_ES
dc.subject Complexity es_ES
dc.subject CESM plus es_ES
dc.subject Emergent properties es_ES
dc.subject Ontology es_ES
dc.subject Bunge Systemist Ontology (BSO) es_ES
dc.subject Retrospective case study es_ES
dc.subject Citizen science es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title System: A core conceptual modeling construct for capturing complexity es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.datak.2022.102062 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//CIPROM%2F2021%2F023/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Lukyanenko, R.; Storey, VC.; Pastor López, O. (2022). System: A core conceptual modeling construct for capturing complexity. Data & Knowledge Engineering. 141:1-29. https://doi.org/10.1016/j.datak.2022.102062 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.datak.2022.102062 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 29 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 141 es_ES
dc.relation.pasarela S\491537 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder University of Virginia es_ES
dc.contributor.funder Georgia State University es_ES
dc.contributor.funder Instituto Valenciano de Investigación en Inteligencia Artificial es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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