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Enterprise Adaptability Using a Capability-oriented Methodology and Tool Support

Petrevska Nechkoska, Renata (author)
Poels, Geert (author)
Zdravkovic, Jelena (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
 (creator_code:org_t)
CEUR-WS.org, 2018
2018
English.
In: PrOse 2018. Practicing Open Enterprise Modelling within OMiLAB. - : CEUR-WS.org. ; , s. 61-72
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Complex, dynamically changing business environments impose great need for adaptability, where the enterprise modelling discipline ought to provide relevant support. To investigate how capability-oriented methodologies, aimed to integrate contextual enterprise modelling with system design and runtime adjustments facilitate enterprise adaptability in dynamic contexts, we are using a case of an international financial institution facing, through a timeline of several years, different adverse events. Our scenario follows planned transitions towards improvements, by considering how unplanned disturbing events influence the main enterprise elements - strategy, goals, rules, actors and resources, business processes, as well as technical components; and how context modelling and design of capabilities could be utilized to respond to undesired business situations, by providing an adaptation roadmap for managing planned and unplanned changes. By utilizing our previously defined multi-dimensional framework for enterprise adaptability, we have analyzed how Capability Driven Development methodology complementing an enterprise modelling approach such as 4EM, could be applied to support successful business transformations, as well as we outline the requirements for supporting tools, in our case - ADOxx.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

enterprise modelling
adaptability
context
capability
Computer and Systems Sciences
data- och systemvetenskap

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kon (subject category)

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