The Research Field “Modeling Business Information Systems”

Frank, Ulrich; Strecker, Stefan; Fettke, Peter; Brocke, Jan vom; Becker, Jörg; Sinz, Elmar J.

doi:10.1007/s12599-013-0301-5

Cited by 32 publications

(17 citation statements)

References 22 publications

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“…To foster shared understanding among stakeholder groups during an ET, one of the major means of communication are models (Frank et al 2014). To match the diversity of perspectives of stakeholder groups involved in an ET, enterprise architecture (EA) models appear particularly promising: EA models cover dependencies across partial views of an enterprise (e.g., business, technology), and are at a higher level of abstraction than models concerned with partial views.…”

Section: Introductionmentioning

confidence: 99%

Crossing the Line: Overcoming Knowledge Boundaries in Enterprise Transformation

2015

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Crossing the line: overcoming knowledge boundaries in enterprise transformation Teaser Enterprise transformations are fundamental changes in an organization. To succeed, shared understanding between many diverse stakeholder groups like program managers or business managers is essential. We analyze which properties of enterprise architecture models are beneficial for creating shared understanding. We assess the differences between stakeholders through the lens of knowledge boundaries, and enterprise architecture models through the lens of boundary objects. We develop and empirically test a research model. Our findings show which boundary object properties contribute to a syntactic, semantic and pragmatic capacity needed to overcome the respective knowledge boundary.

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Section: Introductionmentioning

confidence: 99%

Crossing the Line: Overcoming Knowledge Boundaries in Enterprise Transformation

2015

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“…Method engineering has a long tradition in information science, computer science, and systems development (see Brinkkemper, 1996;Nuseibeh, Finkelstein, & Kramer, 1996;Ralyté, Deneckère, & Rolland, 2003;Rolland, 2009). In recent years, researchers have also viewed it as an important area of IS research (Recker, 2015) that focuses on developing domain-specific conceptual modeling methods (Frank, 2013;Frank et al, 2014). Due to its ambiguous usage (Henderson-Sellers & Ralyté, 2010), one needs to tailor method engineering needs to the notion of conceptual modeling and model value that the OMiLAB employs (see Figures 2 and 3).…”

Section: Related Approachesmentioning

confidence: 99%

“…Third, they hardly operationalize the knowledge that the conceptual models codify. Accordingly, recent business information systems engineering research has explored novel domain-specific conceptual modeling languages (Frank et al, 2014) and developed modeling tools that enable their efficient application (Brenner et al, 2014). Conceptual modeling has become an established research field in information systems (see Recker, 2015).…”

Section: Introductionmentioning

confidence: 99%

An Open Platform for Modeling Method Conceptualization: The OMiLAB Digital Ecosystem

Bork¹,

Buchmann²,

Karagiannis³

et al. 2019

CAIS

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This paper motivates, describes, demonstrates in use, and evaluates the Open Models Laboratory (OMiLAB)-an open digital ecosystem designed to help one conceptualize and operationalize conceptual modeling methods. The OMiLAB ecosystem, which a generalized understanding of "model value" motivates, targets research and education stakeholders who fulfill various roles in a modeling method's lifecycle. While we have many reports on novel modeling methods and tools for various domains, we lack knowledge on conceptualizing such methods via a full-fledged dedicated open ecosystem and a methodology that facilitates entry points for novices and an open innovation space for experienced stakeholders. This gap continues due to the lack of an open process and platform for 1) conducting research in the field of modeling method design, 2) developing agile modeling tools and model-driven digital products, and 3) experimenting with and disseminating such methods and related prototypes. OMiLAB incorporates principles, practices, procedures, tools, and services required to address the issues above since it focuses on being the operational deployment for a conceptualization and operationalization process built on several pillars: 1) a granularly defined "modeling method" concept whose building blocks one can customize for the domain of choice, 2) an "agile modeling method engineering" framework that helps one quickly prototype modeling tools, 3) a model-aware "digital product design lab", and 4) dissemination channels for reaching a global community. In this paper, we demonstrate and evaluate the OMiLAB in research with two selected application cases for domain-and case-specific requirements. Besides these exemplary cases, OMiLAB has proven to effectively satisfy requirements that almost 50 modeling methods raise and, thus, to support researchers in designing novel modeling methods, developing tools, and disseminating outcomes. We also measured OMiLAB's educational impact.

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“…413-425. [10], [21], [33], [34]. EA modeling is a cross-cutting effort that documents the organization's structure, e.g., IS, business processes, infrastructure components as well as their relationships.…”

Section: Motivationmentioning

confidence: 99%

Success Factors for Federated Enterprise Architecture Model Management

Khosroshahi

Aier

Hauder

et al. 2015

Lecture Notes in Business Information Processing

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Recent approaches for managing Enterprise Architecture (EA) models provide technical systems to procure information from existing repositories within the application landscape of an organization. Beyond technical solutions, social factors are of utmost importance to implement a successful EA initiative. Institutional theory has for example been employed to understand crucial factors for realizing EA management (EAM) benefits through architectural thinking. Yet, it remains unclear how these social factors influence a federated approach for EA model management. Based on a socio-technical systems perspective, we investigate success factors for Federated EA Model Management (FEAMM) by conducting qualitative interviews with industry experts. Our findings suggest that success factors for FEAMM are related to the model sources, modeling instruments, and model integration aspects from a technical perspective as well as to organizational grounding, governance, enforcement, efficiency, goal alignment, and trust from a social perspective.

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The Research Field “Modeling Business Information Systems”

Cited by 32 publications

References 22 publications

Crossing the Line: Overcoming Knowledge Boundaries in Enterprise Transformation

Crossing the Line: Overcoming Knowledge Boundaries in Enterprise Transformation

An Open Platform for Modeling Method Conceptualization: The OMiLAB Digital Ecosystem

Success Factors for Federated Enterprise Architecture Model Management

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