An assessment framework of business modelling ontologies to ensure the viability of business models

Austin D'Souza, Nick van Beest, George. B. Huitema, J.C. Wortmann, Hugo Velthuijsen

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Abstract

Organisations operate in an increasingly dynamic environment. Consequently, the business models span several organisations, dealing with multiple stakeholders and their competing interests. As a result, the enterprise information systems supporting this new market setting are highly distributed, and their components are owned and managed by different stakeholders. For successful businesses to exist it is crucial that their enterprise architectures are derived from and aligned with viable business models. Business model ontologies (BMOs) are effective tools for designing and evaluating business models. However, the viability perspective has been largely neglected. In this paper, current BMOs have been assessed on their capabilities to support the design and evaluation of viable business models. As such, a list of criteria is derived from literature to evaluate BMOs from a viability perspective. These criteria are subsequently applied to six well-established BMOs, to identify a BMO best suited for design and evaluation of viable business models. The analysis reveals that, although none of the BMOs satisfy all the criteria, e3-value is the most appropriate BMO for designing and evaluating business models from a viability perspective. Furthermore, the identified deficits provide clear areas for enhancing the assessed BMOs from a viability perspective.
Original languageEnglish
Pages226-235
Publication statusPublished - Apr 2014
Event16th International Conference on Enterprise Information Systems (ICEIS) 2014 - Lisbon, Portugal
Duration: 27 Apr 201430 Apr 2014
Conference number: 16th
http://www.iceis.org/?y=2014

Conference

Conference16th International Conference on Enterprise Information Systems (ICEIS) 2014
Abbreviated titleICEIS 2014
Country/TerritoryPortugal
CityLisbon
Period27/04/1430/04/14
Internet address

Keywords

  • business models
  • ontologies
  • strategic management
  • viability

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