- I am Professor at the department for Computer and Systems Sciences (DSV) at Stockholm University. In the Enterprise M... moreI am Professor at the department for Computer and Systems Sciences (DSV) at Stockholm University. In the Enterprise Modeling discipline, I has published work on Requirements Engineering, capability- and consumer-oriented. She has participated in several national and international projects on the interoperability of information systems, service engineering. My latest interest include Data-driven Requirements Engineering, as well as development and analysis of Digital Business Ecosystems.edit
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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-or ...
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A gap in the alignment of business and IT lies between strategy and IS, despite the advancements of enterprise modeling. The objective of our study is to compare various enterprise modeling approaches with respect to their ability to... more
A gap in the alignment of business and IT lies between strategy and IS, despite the advancements of enterprise modeling. The objective of our study is to compare various enterprise modeling approaches with respect to their ability to capture and represent strategy notions. This includes identifying strategy notions from established business strategy formulations within Strategic Manag ement, which are expressed in the Unified Business Strategy Meta - model. The interdisciplinary nature of the study constitutes a research challenge due to the significant difference on the levels of abstraction between Strategic Management and IS. To the best of our knowledge, no similar fort has been undertaken, therefore, the outcome of this study will provide the enterprise modeling community with a basis to address strategy and IS alignment linking strategic objectives and intentions to information systems
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This book constitutes the proceedings of the 17th International Conference on Perspectives in Business Informatics Research, BIR 2018, held in Stockholm, Sweden, in September 2018. This year’s conf ...
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Social and Collaborative Computing.- Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management.- Editing Anxiety in Corporate Wikis: From Private Drafting to Public Edits.- Run-Time and Task-Based Performance of... more
Social and Collaborative Computing.- Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management.- Editing Anxiety in Corporate Wikis: From Private Drafting to Public Edits.- Run-Time and Task-Based Performance of Event Detection Techniques for Twitter.- Business Process Modeling and Languages.- RALph: A Graphical Notation for Resource Assignments in Business Processes.- Revising the Vocabulary of Business Process Element Labels.- Declarative Process Modeling in BPMN.- High Volume and Complex Information Management.- The Requirements and Needs of Global Data Usage in Product Lifecycle Management.- Probabilistic Keys for Data Quality Management.- A Clustering Approach for Protecting GIS Vector Data.- Requirements Elicitation and Management.- Need-to-Share and Non-diffusion Requirements Verification in Exchange Policies.- Virtual Business Role-Play: Leveraging Familiar Environments to Prime Stakeholder Memory During Process Elicitation.- Handling Regulatory Goal Model Families as Software Product Lines.- Enterprise Data Management.- Managing Data Warehouse Traceability: A Life-Cycle Driven Approach.- Specification and Incremental Maintenance of Linked Data Mashup Views.- A Model-Driven Approach to Enterprise Data Migration.- Model Conceptualisation and Evolution.- Interactive Recovery of Requirements Traceability Links Using User Feedback and Configuration Management Logs.- Detecting Complex Changes During Metamodel Evolution.- "We Need to Discuss the Relationship": Revisiting Relationships as Modeling Constructs.- Process Mining, Monitoring and Predicting.- PM2: A Process Mining Project Methodology.- Completing Workflow Traces Using Action Languages.- A Novel Top-Down Approach for Clustering Traces.- Intra and Inter-Organizational Process Engineering Extracting Decision Logic from Process Models.- Equivalence Transformations for the Design of Interorganizational Data-Flow.- Automatic Generation of Optimized Process Models from Declarative Specifications.- Process Compliance and Alignment.- Towards the Automated Annotation of Process Models.- Discovery and Validation of Queueing Networks in Scheduled Processes.- Verification and Validation of UML Artifact-Centric Business Process Models.- Enterprise IT Integration and Management.- Empirical Challenges in the Implementation of IT Portfolio Management: A Survey in Three Companies.- Integration Adapter Modeling.- Service Science and Computing.- Modelling Service Level Agreements for Business Process Outsourcing Services.- Deriving Artefact-Centric Interfaces for Overloaded Web Services.
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The Capability-Driven Development (CDD) methodology supports development, delivery, and management of organization and information system capabilities. This chapter presents an overview of the CDD methodology in terms of the capability... more
The Capability-Driven Development (CDD) methodology supports development, delivery, and management of organization and information system capabilities. This chapter presents an overview of the CDD methodology in terms of the capability meta-model; the overall capability life cycle consisting of capability design, deployment, and feedback cycles; as well as the overall use of the CDD Environment. The way of working with CDD is illustrated with a simple example case from the travel management domain.
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2017 IEEE 19th Conference on Business Informatics: Proceedings : Volume 1: Conference Papers
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The Information Systems (IS) community has long recognized the importance of studying quality at various stages of the IS design process. Many studies target the quality factors at various stages of design and development. However,... more
The Information Systems (IS) community has long recognized the importance of studying quality at various stages of the IS design process. Many studies target the quality factors at various stages of design and development. However, research about the factors that specifically affect the quality of IS integration remains largely fragmented. Existing quality frameworks fail to cover integration-specific factors. This motivates the need for a holistic model of integration quality. The paper proposes two artefacts to address this need. It explores the literature of related domains, including systems, model, and process quality to elicit the quality factors that are relevant in the context of IS integration. The factors can be used to evaluate the quality of integration solutions during design and development. The paper also proposes a quality model to describe the quality of the design components of integration solutions following the principles of model-driven development. The model enables the quality factors to be associated with other parts of the IS integration design. The proposed factors are evaluated with the help of expert feedback using a questionnaire, and the quality model is demonstrated with an example business case.
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Digital business ecosystem (DBE) is a paradigm that enables developing and monitoring novel business models of collaborating organisations and individuals using ICT as the foundation. Different from traditional online networked models... more
Digital business ecosystem (DBE) is a paradigm that enables developing and monitoring novel business models of collaborating organisations and individuals using ICT as the foundation. Different from traditional online networked models such as manufacturer, retailer, or franchise centred, using a shared digital environment, DBE fosters heterogeneity, symbiosis, coevolution, and self-organisation of its multiple actors, which enables it to span different business domains as well as exhibits diverse interests. For many organisations and individuals, DBE presents a new collaborative approach to leverage offered and desired resources among the involved members to meet each of their goals. As such, it is foreseen to be of high value to the involved actors, but at the same time, it is often complex due to many correlated interactions of these actors and thus difficult to design and manage. Furthermore, the current state of the art shows a lack of methodological guidance for DBE design. We ...
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There is a plethora of digital data sources that may be exploited for collecting requirements for system development and evolution. In contrast to human sources, i.e. stakeholders, digital sources continuously generate data that is often... more
There is a plethora of digital data sources that may be exploited for collecting requirements for system development and evolution. In contrast to human sources, i.e. stakeholders, digital sources continuously generate data that is often not originally created for the purposes of requirements elicitation, e.g. on forums, microblogs, machine-generated trace logs, and sensor data. Streams of large volumes of data can be exploited to enable automation of a continuous requirements elicitation process using AI techniques that combine natural language or machine data processing, with machine learning. On the other hand, the complex characteristics of big data due to its size, lack of structure, high dynamics, and low predictability, present numerous challenges on the process of extracting requirements-related information that would be of a clear value for companies. The purpose of this interview study was to, from the practitioners’ perspective, elicit their overall expectations and needs...
The changing business landscapes urge organizations to collaborate and combine their expertise to stay competitive. Organizations establish partnerships and collaborate via the Internet, which often happens dynamically and at fast pace... more
The changing business landscapes urge organizations to collaborate and combine their expertise to stay competitive. Organizations establish partnerships and collaborate via the Internet, which often happens dynamically and at fast pace resulting in formation of Digital Business Ecosystems (DBEs). DBEs are complex and their management requires having explicit and up-to-date information about them. Modeling enables thorough visual analysis and facilitates the understanding and formation of DBEs. It also allows viewing DBEs through multiple perspectives, as well as exploring alternatives in the course of DBE formation or management. This systematic review aims to synthesize existing studies pertaining to Conceptual Modeling for analysis, design, and management of DBEs. A total of 94 studies were included in the review. The findings suggest that there is a scarcity of existing Conceptual Modeling methods and tools supporting DBEs. Additionally, the extensive emphasis on DBEs’ actors in ...
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This book constitutes the proceedings of the 27th International Conference on Advanced Information Systems Engineering, CAiSE 2015, held in Stockholm, Sweden, in June 2015. The 31 papers presented in this volume were carefully reviewed... more
This book constitutes the proceedings of the 27th International Conference on Advanced Information Systems Engineering, CAiSE 2015, held in Stockholm, Sweden, in June 2015. The 31 papers presented in this volume were carefully reviewed and selected from 236 submissions. They were organized in topical sections named: social and collaborative computing; business process modeling and languages; high volume and complex information management; requirements elicitation and management; enterprise data management; model conceptualisation and evolution; process mining, monitoring and predicting; intra- and inter-organizational process engineering; process compliance and alignment; enterprise IT integration and management; and service science and computing. The book also contains the abstracts of 3 keynote speeches and 5 tutorials, presented at the conference
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Complementary Proceedings of the 9th Workshop on Transformation & Engineering of Enterprises, the 2nd International Workshop on Capability-oriented Business Informatics, and the 2nd Workshop on Cross-Organizational and Cross-Company BPM
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Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a... more
Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions about products or services based on the expected or to-be-experienced satisfaction of consuming them. In our previous work, we proposed a conceptualization of consumer preferences - the Consumer Preference Meta-Model (CPMM) - to enable a classification and ranking of the preferences that would be the basis for deciding which of would be considered to be developed into supporting information systems/services. In this study we collect consumer preferences through crowdsourcing, and in particular Twitter, because of its increasing popularity as a source of up-to-date comments and information about current services and products. The tweets of four major American airlines were processed using different techniques from natural language processing (NLP) that enabled the classification of their objectives, content, and importance within CPMM. By next mapping the highest-ranked results from CPMM to goal models enabled a model-based linkage from a corpus of preferences contained within short texts to high-level requirements for system/services.
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Compliance is a business capability that organizations strive to obtain, since it is considered as a competitive advantage. In order for an organization to enforce com-pliance regulations to its business processes and the IT... more
Compliance is a business capability that organizations strive to obtain, since it is considered as a competitive advantage. In order for an organization to enforce com-pliance regulations to its business processes and the IT infrastructure supporting them, it is necessary to define compliance rules in a formal manner so that appropriate automa-tion may be effected. Compliance rules must be extracted from corresponding compli-ance documents produced externally or internally most commonly in the form of legis-lation or contracts. To this end, a comprehensive method should be followed, starting from document analysis, moving to the identification of important features and ultimate-ly the construction of compliance rules that may be automatically enforced to business processes. In order to depict compliance concepts and the relations between them, a conceptual meta-model is proposed in this paper. It aims to assist business analysts to extract compliance rules from compliance documents ...
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... С (IT) Stojanovic, N. (DE) Erickson, J. (US) Matera, M. (IT) Strand, M. (SE) Evermann, J. (CA)Mateus, P. (PT ... Werthner Università degli Studi di Trento, Italy Evaluation, Assessment and Certification of Dependable Information... more
... С (IT) Stojanovic, N. (DE) Erickson, J. (US) Matera, M. (IT) Strand, M. (SE) Evermann, J. (CA)Mateus, P. (PT ... Werthner Università degli Studi di Trento, Italy Evaluation, Assessment and Certification of Dependable Information Systems Hans-Ludwig Hausen, Germany Martín Hite ...
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In this paper the current situation in organisations regarding the reuse of information is discussed. Problems of both information publishers and consumers are presented. Many of them can be avoided by adopting the new paradigm for... more
In this paper the current situation in organisations regarding the reuse of information is discussed. Problems of both information publishers and consumers are presented. Many of them can be avoided by adopting the new paradigm for sharing information, namely linked open data. Although this paradigm is getting on importance, being promoted by public administration, still it has not achieved a critical mass satisfactory for enterprises. Future research challenges for business informatics with respect to linked data on the Web are sketched in the conclusions.