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EGOV-CeDEM-ePart-JP 2023Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2023 : Joint Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2023co-located with the International Conference EGOV-CeDEM-ePart (EGOV-CeDEM-ePart 2023)
- 2023
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Proceedings (redaktörskap) (refereegranskat)abstract
- The EGOV-CeDEM-ePart 2023 conference, or for short EGOV2023, is now in the sixth year of itsexistence after the successful merger of three formerly independent conferences, e.g., the IFIP WG 8.5Electronic Government (EGOV), the Conference for E-Democracy and Open Government Conference(CeDEM), and the IFIP WG 8.5 IFIP Electronic Participation (ePart). This larger, united conference is dedicated to a broad area of digital or electronic government, open government, smart governance, artificial intelligence, e-democracy, policy informatics, and electronic participation. Scholars from around the world have found this conference to be a premier academic forum with a long traditionalong its various branches, which has given the EGOV-CeDEM-ePart conference its reputation as the leading conference worldwide in the research domains of digital/electronic, open, and smart government as well as electronic participation.
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- Sandkuhl, Kurt, 1963-, et al.
(författare)
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Enterprise Modelling for the Masses - From Elitist Discipline to Common Practice
- 2016
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Ingår i: The Practice of Enterprise Modeling. - Cham : Springer. - 9783319483924 - 9783319483931 ; , s. 225-240
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Konferensbidrag (refereegranskat)abstract
- Enterprise modelling (EM) as a discipline has been around for several decades with a huge body of knowledge on EM in academic literature. The benefits of modelling and its contributions to organizational tasks are largely undisputed. Thus, from an inside-out perspective, EM appears to be a mature and established discipline. However, for initiating serious innovations this view is not sufficient. This position paper takes an outside-in perspective on enterprise modelling and argues that EM is far away from reaching its maximum potential. EM is typically done by a limited number of people in organizations inclined to methods and modelling. What is captured in models is only a fragment of what ought to be captured. Many people actually develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modelling” could lead to groundbreaking innovations in EM. The aim is to investigate integration of the established, often systematic and formalized practices of modelling in enterprises with local practices of creating, using and communicating model-like artifacts or objects of relevance for the overall organization.
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- Sandkuhl, Kurt, 1963-, et al.
(författare)
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From Expert Discipline to Common Practice : A Vision and Research Agenda for Extending the Reach of Enterprise Modeling
- 2018
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Ingår i: Business & Information Systems Engineering. - : Springer. - 2363-7005 .- 1867-0202. ; 60:1, s. 69-80
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Tidskriftsartikel (refereegranskat)abstract
- The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling” could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research agenda.
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