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  • 1.
    Ericsson, Evelina
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Gustafsson, Pia
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    von Würtemberg, Marcks Liv
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Flores, Rocha Waldo
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Process Improvement Framework Evaluation2010Inngår i: 2010 International Conference on Management Science and Engineering, ICMSE 2010, NEW YORK: IEEE , 2010, s. 319-326Konferansepaper (Annet vitenskapelig)
    Abstract [en]

    This paper analyzes and evaluates frameworks used in the IT and business domain. The purpose has been to discuss the characteristics, weaknesses and strengths of the frameworks to illuminate how companies can benefit from using them in synergy. Specific strengths within a specific framework such as maturity models and improvement programs have been identified. Many organizations today also use several different frameworks with partly the same content. Therefore, paper concludes by advocating for cooperation between functions using different frameworks based on the similarities identified within this paper to avoid creation of isolated framework islands. To be able to adopt a holistic approach and improve the entire business at an organization it is necessary to develop common methods for similar actions.

  • 2.
    Franke, Ulrik
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    König, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Lagerström, Robert
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Närman, Per
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ullberg, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Gustafsson, Pia
    Ekstedt, Mathias
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    EAF(2) - A Framework for Categorizing Enterprise Architecture Frameworks2009Inngår i: SNPD 2009: 10TH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCES, NETWORKING AND PARALLEL DISTRIBUTED COMPUTING, PROCEEDINGS, LOS ALAMITOS: IEEE COMPUTER SOC , 2009, s. 327-332Konferansepaper (Fagfellevurdert)
    Abstract [en]

    What constitutes an enterprise architecture framework is a contested subject. The contents of present enterprise architecture frameworks thus differ substantially. This paper aims to alleviate the confusion regarding which framework contains what by proposing a meta framework for enterprise architecture frameworks. By using this meta framework, decision makers are able to express their requirements on what their enterprise architecture framework must contain and also to evaluate whether the existing frameworks meets these requirements. An example classification of common EA frameworks illustrates the approach.

  • 3.
    Franke, Ulrik
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Lagerström, Robert
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ullberg, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ekstedt, Mathias
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    König, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    A formal method for cost and accuracy trade-off analysis in software assessment measures2009Inngår i: RCIS 2009: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE, NEW YORK: IEEE , 2009, s. 295-302Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, but the monetary aspects of the modeling of software systems are not equally well acknowledged. The present paper describes a method using Bayesian networks for optimizing modeling strategies, perceived as a trade-off between these two aspects. Using GeNIe, a graphical tool with the proper Bayesian algorithms implemented, decision support can thus be provided to the modeling process. Specifically, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with his projection of their costs. It is argued that this method might enhance modeling of large and complex software systems in two principal ways: Firstly, by enforcing rigor and making hidden assumptions explicit. Secondly, by enforcing cost awareness even in the early phases of modeling. The method should be used primarily when the choice of modeling can have great economic repercussions.

  • 4.
    Franke, Ulrik
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Lagerström, Robert
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ullberg, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ekstedt, Mathias
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    König, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    A Method for Choosing Software Assessment Measures using Bayesian Networks and Diagnosis: CSMR 2009, PROCEEDINGS2009Inngår i: 13TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING: CSMR 2009, PROCEEDINGS / [ed] Winter A, Knodel J, LOS ALAMITOS, CA.: IEEE COMPUTER SOC. , 2009, s. 241-245Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Creating accurate models of information systems is an important but challenging task. While the scienti c aspects of such modeling are generally acknowledged, the monetary aspects of the modeling of software systems are not. The present paper describes a Bayesian method for optimizing modeling strategies, perceived as a trade-off between these two aspects. Speci cally, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with her projection of the costs. It is argued that this method enhances modeling of large and complex software systems in two principal ways: Firstly, by enforcing rigor and making hidden assumptions explicit. Secondly, by enforcing cost awareness even in the early phases of modeling. The method should be used primarily when the choice of modeling can have great economic repercussions.

  • 5.
    Franke, Ulrik
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Närman, Pia
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Lilliesköld, Joakim
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Factors Affecting Successful Project Management of Technology-Intense Projects2010Inngår i: PICMET '10 - Portland International Center for Management of Engineering and Technology, Proceedings - Technology Management for Global Economic Growth, New York: IEEE , 2010, s. 1538-1543Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Today, engineering and other technology intense businesses are increasingly carried out in project form. This allows better use of scarce resources, a simplified decision-making process as well as specific organization forms being tailored to the task at hand. However, despite these advantages, complex industrial projects often fail in the sense that budgets, time-frames and customer requirements are not met. Organizations also spend lots of money on introducing project models and certifying their project managers. Are these actions really efficient, i.e. do they lead to improved management of projects? The aim of this article is to describe the impact of (i) use of project model, (ii) project manager certification, and (iii) size of organization on ( a) employment of risk analysis, (b) existence of project sponsor, ( c) existence of steering committee, and (d) existence of project manager task description, respectively. This paper presents correlations derived from N=59 semi-structured interviews with project managers of technology centered projects from several countries. Two statistically significant relations were found through a correlation analysis: between the use of a project models and the existence of steering committee and between the use of a project model and the existence of a project manager task description.

  • 6.
    Gustafsson, Pia
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Franke, Ulrik
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Quantifying IT Impacts on Organizational Structure and Business Value with Extended Influence Diagrams2008Inngår i: PRACTICE OF ENTERPRISE MODELING, 2008, Vol. 15, s. 138-152Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents a framework for analysis of how IT systems add business value by causally affecting the structure of organizations. The well established theory of organizational behavior developed by Mintzberg combined with more recent research oil business value of IT is used to develop a quantitative theoretical framework showing which business values are affected by IT in relation to the organizational structure. This framework, which is based upon a qualitative equivalent developed in all earlier paper. describes relationships ill all Extended Influence Diagram for quantified conditional probability tables and open tip for all empirical appliance. Hence obtained data call be mathematically expressed for more Sound assessments. The intention is to create a fully functioning tool for analyses of what kind of IT system should be used by an organization with a given structure to maximize its business value.

  • 7.
    Gustafsson, Pia
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Ericsson, Evelina
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Lilliesköld, Joakim
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Analyzing IT Impact on Organizational Structure: A Case Study2009Inngår i: PROCEEDINGS OF PICMET 09: TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, NEW YORK: IEEE , 2009, s. 3113-3126Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Each year companies spend millions of dollars on IT investments hoping they will lead to higher profits. There are many methods for analyzing what these investments actually bring back to the companies, but unfortunately they are not stringent enough to make the analysis repeatable. This means that different investments cannot be compared to each other. The management paradigm of Enterprise Architecture (EA) is commonly used to structure a company from a holistic perspective. In this paper, an EA framework for assessing IT-systems' impact on an organization's business value through changes in its structure is validated. The foundation of the framework is a Bayesian inference engine allowing quantified analysis. For practical usage, this analysis framework is also expressed through modeling the organization with a metamodel. Together they form a structured method for quantitative analysis of the IT impact on organizations. An IT system for maintenance management within a European electric power utility has been used as a case study to validate the method. The organization and IT support have been modeled using the proposed metamodel and thereafter analyzed with the Bayesian network. The study has been conducted using guided interviews and a survey. The results from this study of how the business value has been influenced are compared to the user's perceptions on how the business values have changed are also presented in this paper.

  • 8.
    Gustafsson, Pia
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Franke, Ulrik
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Modeling the IT Impact on Organizational Structure: 2009 IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE2009Inngår i: EDOC: 2009 IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE, Los Alamitos, CA: IEEE COMPUTER SOC , 2009, s. 14-23Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The impact IT systems have on organizations is widely debated, both in academia and industry. This paper describes a quantitative framework for analyzing organizational impact from IT systems. The framework consists of an abstract model that is a metamodel suitable for expressing organizational structure incorporated with an extended influence diagram for analysis. The purpose is to create enterprise architecture (EA) models that can be used for analysis of the enterprise. The framework has been validated through a case study where the framework has been used to analyze the changes in organizational structure after the introduction of an IT system.

  • 9.
    Höök, David
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Gustafsson, Pia
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Nordström, Lars
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    An Enterprise Architecture Based Method Enabling Quantified Analysis of IT Support System's Impact on Maintenance Management2009Inngår i: PROCEEDINGS OF PICMET 09: TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, NEW YORK: IEEE , 2009, s. 3092-3105Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Enterprise Architecture (EA) is a model based tool enabling holistic management of an enterprise's IT-system portfolio and its relation and support to the business. A domain where the relation between IT-systems and business processes is crucial for cost efficient operation is maintenance of asset dense geographically distributed processes, such as distribution of electric power. Electric power utilities invest a lot of monetary resources in maintenance without having a clear perception of how its management and processes should be optimized. A large proportion of these investments are related to development and integration of IT-systems. The degree of efficiency of these investments runs a risk of being low unless there is a clear understanding of how specific IT system solutions impact the maintenance process. The suggested method provides managerial support for rationalizing decisions concerning IT-systems' support of maintenance management by combining EA with the concept of the Balanced Scorecard. Extended Influence Diagrams (EIDs) are introduced to enable quantitative analysis of how cause and effect between IT-systems and the performance of maintenance processes are related to each other.

  • 10.
    Höök, David
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Nordström, LarsKTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.Johnson, PontusKTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    An Enterprise Architecture Based Method for Quantified Analysis of IT System Impact on Maintenance Management2009Konferanseproceedings (Fagfellevurdert)
    Abstract [en]

    This paper presents a method for quantified analysis of the impact ICT systems have on maintenance management. The method is based on Enterprise Architecture (EA) which is a model based tool enabling holistic management of an enterprise?s ICT system portfolio and its relation and support to the business. A domain where the relation between ICT systems and business processes is crucial for cost efficient operation is maintenance of asset intensive geographically distributed processes, such as distribution of electric power. Power utilities invest many monetary resources in maintenance, a large proportion of these investments being related to development and integration of ICT systems. Thus, there is a need for the power utilities to understand how the products of these investments influence the performance of the maintenance process. The degree of efficiency of these investments runs a risk of being low unless there is a clear understanding of how specific ICT system solutions affects the maintenance activities. The suggested method combines EA with the Maintenance Scorecard and introduces Extended Influence Diagrams (EIDs) to enable a quantitative analysis of how cause and effect between ICT systems and the performance of maintenance processes are related to each other. The method provides management support for rationale decisions concerning ICT systemsᅵ support of the domain of maintenance management. The paper is concluded with an example of how the method can be applied to a typical maintenance process within an electric power utility

  • 11.
    König, Johan
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Nordström, Lars
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Probabilistic Relational Models for Reliability Centered Asset Management of Active Distribution Management Systems2010Inngår i: CIRED Workshop 2010, 2010Konferansepaper (Annet vitenskapelig)
    Abstract [en]

    This paper presents an approach for reliability centred asset management of active distribution management systems. The application of Probabilistic Relational Models (PRMs) together with a set of defined components and their attribute allows both the ability to capture system configurations in architectural models and the ability of probabilistic reasoning offered by Bayesian networks. The approach is based on two key concepts; first, it addresses both the reliability of primary system components and the supporting secondary, ICT-based systems. Secondly, it enables representation of architecture of the ICT systems, including for instance redundancy of hardware and allocation of software functions to several hardware devices. The increasing number of software dependent systems for controlling and supervising the power grid enhances the risk of software-caused failures. Thus, for reliable operation it is of high importance to not only concern primary component, but also the software and hardware of the secondary systems controlling it. The approach is demonstrated using an example composing both primary equipment and secondary systems.

  • 12.
    Lagerström, Robert
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    An Enterprise Architecture Management Pattern for Software Change Project Cost Analysis2009Inngår i: Patterns in Enterprise Architecture Management (PEAM2009) workshop, 2009Konferansepaper (Fagfellevurdert)
  • 13.
    Lagerström, Robert
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Architecture analysis of enterprise systems modifiability - Models, analysis, and validation2010Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 83, nr 8, s. 1387-1403Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Enterprise architecture (EA) models can be used in order to increase the general understanding of enterprise systems and to perform various kinds of analysis. This paper presents instantiated architectural models based on a metamodel for enterprise systems modifiability analysis, i.e. for assessing the cost of making changes to enterprise-wide systems. The instantiated architectural models detailed are based on 21 software change projects conducted at four large Nordic companies. Probabilistic relational models (PRMs) are used for formalizing the EA analysis approach. PRMs enable the combination of regular entity-relationship modeling aspects with means to perform enterprise architecture analysis under uncertainty. The modifiability metamodel employed in the analysis is validated with survey and workshop data (in total 110 experts were surveyed) and with the data collected in the 21 software change projects. Validation indicates that the modifiability metamodel contains the appropriate set of elements. It also indicates that the metamodel produces estimates within a 75% accuracy in 87% of the time and has a mean accuracy of 88% (when considering projects of 2000 man-hours or more).

  • 14.
    Lagerström, Robert
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    König, Johan
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Software Change Project Cost Estimation - A Bayesian Network and a Method for Expert Elicitation2009Inngår i: Third International Workshop on Software Quality and Maintainability (SQM), 2009Konferansepaper (Fagfellevurdert)
  • 15.
    Närman, Per
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Holm, Hannes
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Höök, David
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Honeth, Nicholas
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Johnson, Pontus
    KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
    Using enterprise architecture and technology adoption models to predict application usage2012Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 85, nr 8, s. 1953-1967Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Application usage is an important parameter to consider in application portfolio management. This paper presents an enterprise architecture analysis framework which can be used to assess application usage. The framework, in the form of an architecture metamodel, incorporates variables from the previously published Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model. The paper describes how the metamodel has been tailored for a specific domain, viz, industry maintenance management. The metamodel was tested in the maintenance management domain through a survey with 55 respondents at five companies. Data collected in the survey showed that the domain-specific metamodel is able to explain variations in maintenance management application usage. Integrating the TAM and TTF variables with an architecture metamodel allows architects to reuse research results smoothly, thereby aiding them in producing good application portfolio decision-support.

1 - 15 of 15
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