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KYKLOS - A modeling method and tool for managing changing capabilities in organizations
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-2511-9086
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The environments within which modern organizations are operating are characterized by constantly increasing volatility and diversity, which act as a driving force that continuously presents opportunities and threats to the organizations. The result of this situation is that these environments have become so dynamic that the phenomenon of organizational change is slowly becoming the new constant, rather than being an exception as in earlier years. The challenges arising from the need to handle constant change and evolution naturally lead to changing organizational capabilities. Information systems, as one aspect of an organization, can provide efficient support for the design and analysis of capabilities, and enterprise modeling can facilitate the development of specialized methods for this task. Hitherto, a plethora of capability modeling methods exist, providing a wide spectrum of perspectives.

However, the support provided for managing the phenomenon of changing organizational capabilities remains limited, since existing methods have omitted to capture the elements necessary to depict organizational capabilities in motion and the motivations triggering such transitions. In addition, managing change requires more structured approaches, which should be methodologically supported and conceptualized.

The goal of this PhD thesis is to develop a capability modeling method, called KYKLOS, that can support organizational change by modeling the changing capabilities of organizations and all the relevant aspects of this phenomenon. This work followed the Design Science Research framework, and started by explicating the problem via a literature review of existing capability meta-models; this was followed by the elicitation of method requirements, drawn from both the existing literature and a case study conducted in the domain of public healthcare in Sweden. Based on these requirements, an initial meta-model was developed, which was then demonstrated using the same case study and evaluated by experts through interviews. This activity resulted in an extension to the initial version of the meta-model, which was then instantiated via a case study conducted in the domain of public arts and culture in Greece. In parallel, the compatibility of other modeling approaches was explored. An extended version of the meta-model was then converted to its final version, which was suitable for the implementation of the modeling language in a tool, using the ADOxx meta-modeling platform. Simultaneously with the development of the tool, the syntax, semantics and procedure of the modeling method were created. The complete method was demonstrated through a case study at a company providing ERP solutions and consulting in Sweden, and the results were used to evaluate the method by two groups representing the stakeholder roles.

The thesis contributes towards an improved management of change in organizations through the development of a method and complementary supporting tool, with the capability perspective as the focal point for the design and analysis of organizational change.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University , 2024. , p. 163
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 24-005
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-226282ISBN: 978-91-8014-663-0 (print)ISBN: 978-91-8014-664-7 (electronic)OAI: oai:DiVA.org:su-226282DiVA, id: diva2:1835449
Public defence
2024-03-21, L30, NOD-huset, Borgarfjordsgatan 12, Kista, 09:00 (English)
Opponent
Supervisors
Available from: 2024-02-27 Created: 2024-02-06 Last updated: 2024-02-15Bibliographically approved
List of papers
1. An analysis of capability meta‑models for expressing dynamic business transformation
Open this publication in new window or tab >>An analysis of capability meta‑models for expressing dynamic business transformation
2021 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 20, p. 147-174Article in journal (Refereed) Published
Abstract [en]

Environmental dynamism is gaining ground as a driving force for enterprise transformation. To address the changes, the capabilities of digital enterprises need to adapt. Capability modeling can facilitate this process of transformation. However, a plethora of approaches for capability modeling exist. This study explores how concepts relevant to change have been implemented in the meta-models of these approaches, aiming to visualize relationships among change-related concepts, and identify ways to improve capability modeling toward a more efcient depiction of capability change. The concepts are visualized in concept maps, and a framework is developed to assist the classifcation of concepts relevant to change functions. Similarities and diferences among the existing models are discussed, leading to suggestions toward improvements of capability modeling for capability adaptation.

Keywords
Capability, Enterprise Modeling, Change, Adaptability, Transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-189224 (URN)10.1007/s10270-020-00843-0 (DOI)
Available from: 2021-01-18 Created: 2021-01-18 Last updated: 2024-02-06Bibliographically approved
2. Requirements for Observing, Deciding, and Delivering Capability Change
Open this publication in new window or tab >>Requirements for Observing, Deciding, and Delivering Capability Change
2019 (English)In: The Practice of Enterprise Modeling: Proceedings / [ed] Jaap Gordijn, Wided Guédria, Henderik A. Proper, Springer, 2019, p. 20-35Conference paper, Published paper (Refereed)
Abstract [en]

Dynamic business environments create the need for constant change in modern enterprises. Enterprise transformation is associated to changes in enterprise capabilities since capabilities are an essential element in business designs. Capability modeling methods need to evolve accordingly and the development of such methods needs to be systematic. This study, as part of a Design Science project, aims to elicit requirements for a capability modeling method for addressing change. Literature sources and a case study at a healthcare organization that undergoes several changes are used to elicit requirements. The requirements are presented in the form of a goal model for the method under development.

Place, publisher, year, edition, pages
Springer, 2019
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 369
Keywords
Capability, Enterprise Modeling, Adaptation, Transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-177729 (URN)10.1007/978-3-030-35151-9_2 (DOI)978-3-030-35150-2 (ISBN)978-3-030-35151-9 (ISBN)
Conference
12th IFIP Working Conference, PoEM 2019, Luxembourg, Luxembourg, November 27–29, 2019
Available from: 2020-01-07 Created: 2020-01-07 Last updated: 2024-02-06Bibliographically approved
3. Modeling the Dichotomies of Organizational Change: a State-based Capability Typology
Open this publication in new window or tab >>Modeling the Dichotomies of Organizational Change: a State-based Capability Typology
2020 (English)In: Proceedings of the Practice of Enterprise Modelling 2019 Conference Forum (short papers) / [ed] Christophe Feltus; Paul Johannesson; Henderik A. Proper, RWTH Aachen University , 2020, p. 26-39Conference paper, Published paper (Refereed)
Abstract [en]

Modern digital businesses are facing a constant challenge in adapting to dynamic environments. Therefore, change has become a significant element of business analysis. Capability thinking, when applied to business management, is associated to design and analysis of supporting information systems and is inextricably linked to strategy and change. This results in the need to monitor and analyze how and when the organization’s capabilities need to change. Capability and change dimensions have been explored in the literature in order to identify dimensions relevant to organizational change. The identified capability dimensions are purpose, potentiality and ownership while the relevant change dimensions are control, scope, stride, frequency, desire and tempo. The two sets of dimensions have been combined forming a typology and visualized in a StateMachine diagram. The contribution of this task lies in the conceptualization of the dimensions, including the negative aspect of capabilities, which can provide a starting point for an Enterprise Modeling method optimized for identifying the need for capability change and guiding the transition.

Place, publisher, year, edition, pages
RWTH Aachen University, 2020
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2586
Keywords
Capability management, Digital business, Business transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-184119 (URN)
Conference
12th IFIP Working Conference on the Practice of Enterprise Modeling (PoEM 2019), Luxembourg, Luxembourg, November 27-29, 2019
Available from: 2020-08-13 Created: 2020-08-13 Last updated: 2024-02-06Bibliographically approved
4. Conceptualizing Capability Change
Open this publication in new window or tab >>Conceptualizing Capability Change
2020 (English)In: Enterprise, Business-Process and Information Systems Modeling: 21st International Conference, BPMDS 2020, 25th International Conference, EMMSAD 2020, Held at CAiSE 2020, Grenoble, France, June 8–9, 2020, Proceedings / [ed] Selmin Nurcan, Iris Reinhartz-Berger, Pnina Soffer, Jelena Zdravkovic, Springer, 2020, p. 269-283Conference paper, Published paper (Refereed)
Abstract [en]

Organizations are operating within dynamic environments that present changes, opportunities and threats to which they need to respond by adapting their capabilities. Organizational capabilities can be supported by Information Systems during their design and run-time phases, which often requires the capabilities’ adaptation. Currently, enterprise modeling and capability modeling facilitate the design and analysis of capabilities but improvements regarding capability change can be made. This design science research study introduces a capability change meta-model that will serve as the basis for the development of a method and a supporting tool for capability change. The meta-model is applied to a case study at a Swedish public healthcare organization. This application provides insight on possible opportunities to improve the meta-model in future iterations.

Place, publisher, year, edition, pages
Springer, 2020
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 387
Keywords
Capability, Enterprise Modeling, Change, Adaptation, Transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-184107 (URN)10.1007/978-3-030-49418-6_18 (DOI)978-3-030-49417-9 (ISBN)978-3-030-49418-6 (ISBN)
Conference
21st International Conference, BPMDS 2020, 25th International Conference, EMMSAD 2020, Grenoble, France, June 8–9, 2020
Available from: 2020-08-13 Created: 2020-08-13 Last updated: 2024-02-06Bibliographically approved
5. Improvements on Capability Modeling by Implementing Expert Knowledge About Organizational Change
Open this publication in new window or tab >>Improvements on Capability Modeling by Implementing Expert Knowledge About Organizational Change
2020 (English)In: The Practice of Enterprise Modeling: 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25–27, 2020, Proceedings / [ed] Jānis Grabis, Dominik Bork, Springer, 2020, p. 171-185Conference paper, Published paper (Refereed)
Abstract [en]

Modern digital organizations are constantly facing new opportunities and threats, originating from the highly dynamic environments they operate in. On account of this situation, they need to be in a state of constant change and evolution to achieve their goals or ensure survival, and this is achieved by adapting their capabilities. Enterprise Modeling and capability modeling have provided a plethora of approaches to facilitate the analysis and design of organizational capabilities. However, there is potential for improving management of capability change. This Design Science research aims to provide methodological and tool support for organizations that are undergoing changes. A previously introduced meta-model will serve as the basis for a method supporting capability change. The goal of this study is to explore expert knowledge about organizational change in order to evaluate the initial version of the meta-model and identify possible weaknesses. Ten semi-structured interviews have been conducted to explore the perspectives of experienced decision-makers on capability change. Three categories emerged from the analysis, reflecting on howcapability change is observed, decided and delivered respectively. These have been used as input for revising the conceptual structure of the capability change meta-model.

Place, publisher, year, edition, pages
Springer, 2020
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 400
Keywords
Capability, Enterprise Modeling, Change, Adaptation, Transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-189228 (URN)10.1007/978-3-030-63479-7_12 (DOI)978-3-030-63478-0 (ISBN)978-3-030-63479-7 (ISBN)
Conference
13th IFIP Working Conference, PoEM 2020, Riga, Latvia (virtual conference), November 25–27, 2020
Available from: 2021-01-18 Created: 2021-01-18 Last updated: 2024-02-06Bibliographically approved
6. Capabilities in Crisis: A Case Study Using Enterprise Modeling for Change Analysis
Open this publication in new window or tab >>Capabilities in Crisis: A Case Study Using Enterprise Modeling for Change Analysis
2021 (English)In: Perspectives in Business Informatics Research: 20th International Conference on Business Informatics Research, BIR 2021, Vienna, Austria, September 22–24, 2021, Proceedings / [ed] Robert Andrei Buchmann; Andrea Polini; Björn Johansson; Dimitris Karagiannis, Springer , 2021, p. 100-114Conference paper, Published paper (Refereed)
Abstract [en]

Changing capabilities is a measure that businesses employ as a response to emerging opportunities, threats and necessary adaptations derived from the dynamic environment they operate in. Enterprise Modeling is a discipline that can provide support during the transition of capabilities and facilitate the process. This study is part of a project aiming to develop a method specifically designed for managing capability change using enterprise modeling. This paper’s goal is to identify candidate components for the method by exploring semantic consistency among different enterprise models developed in the context of a case study. The reported case study has been conducted in an organization of the public arts and culture sector in Greece that is dealing with multiple difficulties and challenges simultaneously and is driven to adapt its capabilities. Different Enterprise Modeling approaches are employed to capture the wide spectrum of concepts necessary for modeling the complex capability change phenomenon. Potentials for model integration and candidate method components are identified along with business transformation insight derived from the analysis of changes.

Place, publisher, year, edition, pages
Springer, 2021
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 430
Keywords
Capability, Enterprise modeling, Change, Adaptation, Transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-200603 (URN)10.1007/978-3-030-87205-2_7 (DOI)978-3-030-87205-2 (ISBN)978-3-030-87204-5 (ISBN)
Conference
20th International Conference on Business Informatics Research, BIR 2021, September 22–24, 2021, Vienna, Austria
Available from: 2022-01-08 Created: 2022-01-08 Last updated: 2024-02-06Bibliographically approved
7. An Experience Report on the Implementation of the KYKLOS Modeling Method
Open this publication in new window or tab >>An Experience Report on the Implementation of the KYKLOS Modeling Method
2021 (English)In: The Practice of Enterprise Modeling: 14th IFIP WG 8.1 Working Conference, PoEM 2021, Riga, Latvia, November 24–26, 2021, Proceedings / [ed] Estefanía Serral; Janis Stirna; Jolita Ralyté; Jānis Grabis, Springer , 2021, p. 103-118Conference paper, Published paper (Refereed)
Abstract [en]

Several types of enterprise models and methods have been developed that may help an organization to describe and improve its business. A common practice is also the development of tool support to complement an enterprise modeling method’s application. The development of tool support for a modeling method includes creating a representation of the modeling concepts, but also designing how the user should interact with the tool. This paper reports on the challenges and opportunities encountered during the process of implementing the KYKLOS modeling method in a modeling tool. The KYKLOS method, which is an enterprise modeling method, is specialized in supporting the design and analysis of changing capabilities. Using as input an initial meta-model of capability change, all the necessary tasks are performed to elicit a language model, which is required for the implementation of the method in a tool.

Place, publisher, year, edition, pages
Springer, 2021
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 432
Keywords
Enterprise modeling, Meta-modeling, Implementation, Capability, Business transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-200600 (URN)10.1007/978-3-030-91279-6_8 (DOI)978-3-030-91278-9 (ISBN)978-3-030-91279-6 (ISBN)
Conference
14th IFIP Working Conference, PoEM 2021, November 24–26, 2021, Riga, Latvia (virtual conference)
Available from: 2022-01-08 Created: 2022-01-08 Last updated: 2024-02-06Bibliographically approved
8. Modeling the Phenomenon of Capability Change: The KYKLOS Method
Open this publication in new window or tab >>Modeling the Phenomenon of Capability Change: The KYKLOS Method
2022 (English)In: Domain-Specific Conceptual Modeling: Concepts, Methods and ADOxx Tools / [ed] Dimitris Karagiannis; Moonkun Lee; Knut Hinkelmann; Wilfrid Utz, Springer Nature , 2022, p. 265-288Chapter in book (Refereed)
Abstract [en]

The dynamic environments where modern businesses operate in are a source of continuous change. As a result, change has emerged as an indispensable aspect of business management and analysis. The notion of capability is an essential element in business designs; therefore, business transformation is associated with monitoring and analyzing changing capabilities. Enterprise modeling can facilitate these tasks, and even though a plethora of capability modeling approaches exists, there is a lack of a method specialized for modeling capability change. The KYKLOS method, which is introduced in this chapter as a means to address the abovementioned challenge, is the result of an ongoing Design Science project aiming to provide methodological and tool support for businesses whose capabilities undergo changes or need to do so in the future. Its purpose is not only to capture the information types that are essential to the complex capability change phenomenon but also to guide the transition of capabilities. It is complemented by a homonymous tool developed using the ADOxx metamodeling platform.

Place, publisher, year, edition, pages
Springer Nature, 2022
Keywords
Capability, Enterprise modeling, Change management, Organizational transformation
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-207400 (URN)10.1007/978-3-030-93547-4_12 (DOI)2-s2.0-85145236721 (Scopus ID)978-3-030-93546-7 (ISBN)978-3-030-93547-4 (ISBN)
Available from: 2022-07-15 Created: 2022-07-15 Last updated: 2024-10-14Bibliographically approved
9. Applying and Evaluating the KYKLOS Method
Open this publication in new window or tab >>Applying and Evaluating the KYKLOS Method
2022 (English)In: The Practice of Enterprise Modeling. PoEM 2022: 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23–25, 2022, Proceedings / [ed] Balbir S. Barn; Kurt Sandkuhl, Springer Berlin/Heidelberg , 2022, p. 118-133Conference paper, Published paper (Refereed)
Abstract [en]

Organizations are dealing with a continuous need to adapt to their dynamic environments by changing their business capabilities. KYKLOS is a recently developed modeling method aiming to provide methodological and tool support for the phenomenon of capability change in organizations. This paper reports on a case study used to demonstrate and evaluate KYKLOS. The case study has been performed in a company in the ERP system consulting domain, and the results have been used to evaluate the method using two groups of evaluators, a business user group and a group of modeling experts. The paper reports the insights and findings that validate and motivate future research about the method and the different perspectives between the two groups of evaluators.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2022
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 456
Keywords
capability management, method evaluation, enterprise modeling, change management, verksamhetsmodellering, utvärdering
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-213066 (URN)10.1007/978-3-031-21488-2_8 (DOI)000923532300008 ()2-s2.0-85145234230 (Scopus ID)978-3-031-21487-5 (ISBN)978-3-031-21488-2 (ISBN)
Conference
IFIP Working Conference on The Practice of Enterprise Modeling, PoEM 2022, London, UK, November 23–25, 2022
Available from: 2022-12-19 Created: 2022-12-19 Last updated: 2024-10-14Bibliographically approved

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