Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Supporting Continuous Changes to Business Intents
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0396-1993
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3567-9300
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2017 (English)In: International journal of software engineering and knowledge engineering, ISSN 0218-1940, Vol. 27, no 8, p. 1167-1198Article in journal (Refereed) Published
Abstract [en]

Context: Software supporting an enterprise’s business, also known as a business support system, needs to support the correlation of activities between actors as well as influence the activities based on knowledge about the value networks in which the enterprise acts. This requires the use of policies and rules to guide or enforce the execution of strategies or tactics within an enterprise as well as in collaborations between enterprises. With the help of policies and rules, an enterprise is able to capture an actor’s intent in its business support system, and act according to this intent on behalf of the actor. Since the value networks an enterprise is part of will change over time the business intents’ life cycle states might change. Achieving the changes in an effective and efficient way requires knowledge about the affected intents and the correlation between intents.

Objective: The aim of the study is to identify how a business support system can support continuous changes to business intents. The first step is to find a theoretical model which serves as a foundation for intent-driven systems.

Method: We conducted a case study using a focus group approach with employees from Ericsson. This case study was influenced by the spiral case study process.

Results: The study resulted in a model supporting continuous definition and execution of an enterprise. The model is divided into three layers; Define, Execute, and a com- mon governance view layer. This makes it possible to support continuous definition and execution of business intents and to identify the actors needed to support the business intents’ life cycles. This model is supported by a meta-model for capturing information into viewpoints.

Conclusion: The research question is addressed by suggesting a solution supporting con- tinuous definition and execution of an enterprise as a model of value architecture compo- nents and business functions. The results will affect how Ericsson will build the business studio for their next generation business support systems.

Place, publisher, year, edition, pages
World Scientific, 2017. Vol. 27, no 8, p. 1167-1198
Keywords [en]
business intent; actor; viewpoint; business support system; intent-driven sys- tem; context frame; compositional system; knowledge creation; case study; continuous change
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-15172DOI: 10.1142/S0218194017500449ISI: 000413568800002OAI: oai:DiVA.org:bth-15172DiVA, id: diva2:1143289
Available from: 2017-09-21 Created: 2017-09-21 Last updated: 2021-10-07Bibliographically approved
In thesis
1. Towards Intent-Driven Systems
Open this publication in new window or tab >>Towards Intent-Driven Systems
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Context: Software supporting an enterprise’s business, also known as a business support system, needs to support the correlation of activities between actors as well as influence the activities based on knowledge about the value networks in which the enterprise acts. This can be supported with the help of intent-driven systems. The aim of intent-driven systems is to capture stakeholders’ intents and transform these into a form that enables computer processing of them. Only then are different machine actors able to negotiate with each other on behalf of their respective stakeholders and their intents, and suggest a mutually beneficial agreement.

Objective: When building a business support system it is critical to separate the business model of the business support system itself from the business models used by the enterprise which is using the business support system. The core idea of intent-driven systems is the possibility to change behavior of the system itself, based on stakeholder intents. This requires a separation of concerns between the parts of the system used to execute the stakeholder business, and the parts which are used to design the business based on stakeholder intents. The business studio is a software that supports the realization of business models used by the enterprise by configuring the capabilities provided by the business support system. The aim is to find out how we can support the design of a business studio which is based on intent-driven systems.

Method: We are using the design science framework as our research frame- work. During our design science study we have used the following research methods: systematic literature review, case study, quasi experiment, and action research.

Results: We have produced two design artifacts as a start to be able to support the design of a business studio. These artifacts are the models and quasi-experiment in Chapter 3, and the action research in Chapter 4. The models found during the case study have proved to be a valuable artifact for the stakeholder. The results from the quasi-experiment and the action research are seen as new problem solving knowledge by the stakeholder.

Conclusion: The synthesis shows a need for further research regarding semantic interchange of information, actor interaction in intent-driven systems, and the governance of intent-driven systems.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2017. p. 129
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Keywords
business intent, business support system, intent-driven system, compositional system
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-15141 (URN)978-91-7295-342-0 (ISBN)
Opponent
Supervisors
Projects
Professional Licentiate of Engineering Research School
Funder
Knowledge Foundation
Available from: 2017-09-22 Created: 2017-09-15 Last updated: 2018-01-13Bibliographically approved
2. Towards Intent-Driven Systems Based on Context Frames
Open this publication in new window or tab >>Towards Intent-Driven Systems Based on Context Frames
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this research project we investigate how machine actors can support the business intents (desired outcomes) of an enterprise via predictive execution flows, prescriptive execution flows, and bidirectional knowledge creation between human actors and machine actors. A context frame supports bidirectional knowledge creation via interventions and counterfactual analysis. An intent-driven system combines execution flows to obtain business intents, and a context frame is a component in these flows. 

Our aim is to develop theoretical frameworks supporting intent-driven systems and context frames, and to validate the components needed to realize such frame- works. 

We are using the design science framework as our research framework. During our design science study we have used the following research methods: systematic literature review, case study, quasi experiment, action research, and evaluation research. 

We have created theoretical frameworks supporting intent-driven systems, and context frames, and implemented needed functionality in the involved components. The framework supports knowledge creation and knowledge validation. The possibility of using the knowledge for predictive analysis, prescriptive analysis, and counterfactual analysis, makes it possible to obtain bidirectional knowledge creation between a human actor and a machine actor. This enables a context frame to be part of an intent-driven system which supports predictive, and prescriptive, executions flows. 

The produced artifacts provide answers to our research questions. These answers are a base for theoretical frameworks supporting intent-driven systems and context frames, and provide knowledge of how to construct the components needed to realize these frameworks. 

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2021. p. 50
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2021:08
Keywords
business intent, knowledge creation, decision making, rule adherence, OODA-loop, causal models
National Category
Software Engineering
Research subject
Software Engineering
Identifiers
urn:nbn:se:bth-22178 (URN)978-91-7295-430-4 (ISBN)
Public defence
2021-12-10, J1630 + Zoom, Campus Gräsvik, Karlskrona, 09:30 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2021-10-08 Created: 2021-10-07 Last updated: 2021-11-23Bibliographically approved

Open Access in DiVA

fulltext(1528 kB)307 downloads
File information
File name FULLTEXT01.pdfFile size 1528 kBChecksum SHA-512
78b28dd0968145f168c7f1c37175bf9398edd2a6a486be4930d371b519871cefca121003e947344c07daf9a4e1e019a7b8f263b6da61efd5059a95da6ed41f56
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Wnuk, KrzysztofSvahnberg, Mikael

Search in DiVA

By author/editor
Silvander, JohanWilson, MagnusWnuk, KrzysztofSvahnberg, Mikael
By organisation
Department of Software Engineering
In the same journal
International journal of software engineering and knowledge engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 307 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 690 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf