DOI

Dealing with ill-structured problems is a central responsibility of the manager operating in a business environment of complexity and ambiguity. To assist in problem structuring, a number of problem structuring methods have been developed in the field of operations research. But the modeling approaches incorporated in existing problem structuring methods lack semantic expressiveness, syntactical precision, and domain-specific modeling concepts. In contrast, the field of enterprise modeling offers a range of semantically rich domain-specific modeling languages. In this paper, we report on work towards a more expressive problem structuring method that integrates insights from theoretical problem solving research, core assumptions of the field of problem structuring methods, and modeling languages from the field of enterprise modeling. Specifically, we present results of a conceptual study of theoretical views of the concept of a problem, we present a meta model conceptualization of 'problem' in the context of enterprise modeling, and we illustrate the practical use of the proposed meta model with a case study. The presented conceptualization contributes to the field of enterprise modeling by offering a more nuanced 'problem' modeling concept than is currently available, and by constituting progress towards a problem structuring method that is more expressive and versatile than existing approaches.

Язык оригиналаанглийский
Название основной публикацииResearch Papers
РедакторыHenderik A. Proper, Stefan Strecker, Christian Huemer
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы30-39
Число страниц10
ISBN (печатное издание)9781538670163
DOI
СостояниеОпубликовано - 30 авг 2018
Событие20th IEEE International Conference on Business Informatics, CBI 2018 - Vienna, Австрия
Продолжительность: 11 июл 201813 июл 2018

Серия публикаций

НазваниеProceeding - 2018 20th IEEE International Conference on Business Informatics, CBI 2018
Том1

конференция

конференция20th IEEE International Conference on Business Informatics, CBI 2018
Страна/TерриторияАвстрия
ГородVienna
Период11/07/1813/07/18

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    Предметные области Scopus

  • Компьютерные сети и коммуникации
  • Аппаратное обеспечение и архитектура ЭВМ
  • Информационные системы
  • Информационные системы и управление
  • Моделирование и симуляция

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