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  • 51.
    Jalali, Amin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Wohed, Petia
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Ouyang, Chun
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Dynamic Weaving in Aspect Oriented Business Process Management2013Inngår i: On the Move to Meaningful Internet Systems: OTM 2013 Conferences. Proceedings / [ed] Robert Meersman et al., Springer Berlin/Heidelberg, 2013, s. 2-20Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reducing complexity in Information Systems is an important topic in both research and industry. One strategy to deal with complexity is separation of concerns, which results in less complex, easily maintainable and more reusable systems. Separation of concerns can be addressed through the Aspect Oriented paradigm. Although this paradigm has been well researched in programming, it is still at the preliminary stage in the area of Business Process Management. While some efforts have been made to extend business process modelling with aspect oriented capability, it has not yet been investigated how aspect oriented business process models should be executed at runtime. In this paper, we propose a generic solution to support execution of aspect oriented business process models based on the principle behind dynamic weaving of aspects. This solution is formally specified using Coloured Petri Nets. The resulting formal specification serves as the blueprint to the implementation of a service module in the framework of a state-of-the-art Business Process Management System. Using this developed artefact, a case study is performed in which two simplified processes from real business in the domain of banking are modelled and executed in an aspect oriented manner. Through this case study, we also demonstrate that adoption of aspect oriented modularization increases the reusability while reducing the complexity of business process models in practice.

  • 52.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Use and Exchange Perspective for Explicating the Notion of Service2015Inngår i: Advances in Conceptual Modeling ER 2015 Workshops AHA, CMS, EMoV, MoBID, MORE-BI, MReBA, QMMQ, and SCME: proceedings / [ed] Jeusfeld, Manfred A., Karlapalem, Kamalakar, Springer, 2015, s. 62-Konferansepaper (Annet vitenskapelig)
    Abstract [en]

    The notion of service has proved elusive, in practice as well as in academic research. The lack of a common view of the notion of service makes it difficult to describe, classify and manage services in an efficient and effective way. One attempt to defining the notion of service has focused on identifying properties (such as intangibility, inseparability, heterogeneity, and perishability) that distinguish services from other kinds of resources. While this approach offers advantages of simplicity and familiarity, it is problematic as the suggested properties are neither necessary nor sufficient. For example, not only services but also many other resources can be intangible, such as information and rights. The same observation holds for perishability and heterogeneity, with examples as fruits and handicraft objects.

  • 53.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Informationssystem.
    The Role of Business Models in Enterprise Modelling2007Inngår i: Conceptual Modelling in Information Systems Engineering, 2007Kapittel i bok, del av antologi (Annet vitenskapelig)
    Abstract [en]

    In order to cope with increasingly complex business and IT environments, organisations need effective instruments for managing their knowledge about these environments. Essential among these instruments are enterprise models that represent an organisation including its domain of work, processes, and context. Most enterprise models have focussed on information and process structures, but there has recently also been a growing interest in goal models, describing the intention of actors. We suggest that there is a need for an additional type of model, often called value model or business model, that focuses on the value created and interchanged between actors in a business environment. This kind of model provides a clear and declarative foundation for other kinds of enterprise models and they will become increasingly important in managing a complex environment characterised by collaboration, variety, and change.

  • 54.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Value-Aware Enterprise Modelling2019Inngår i: Ontology Makes Sense: Essays in honor of Nicola Guarino, IOS Press, 2019, s. 278-291Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    Enterprise modelling aims at representing and describing organisations through the use of models. As organisations can be viewed from many perspectives, there now exists a plethora of different kinds of enterprise models. As a consequence, a perennial problem in the area has been how to integrate, relate and align models. This paper suggests that a value-aware approach can help to address this issue, and it outlines how the construction of enterprise models can be informed by taking the notion of value into account. The approach chosen is ontology-based. An initial ontology for value ascription is proposed, which is used for showing how common kinds of enterprise models can be adjusted to accommodate the notion of value. The proposed approach is expected to support integration, harmonization and documentation of models as well as traceability between models.

  • 55.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Weigand, Hans
    Resource Analysis and Classification for Purpose Driven Value Model Design2010Inngår i: International Journal of Information System Modeling and Design (IJISMD), ISSN 1947-8186, Vol. 1, nr 1, s. 56-78Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Business and IT systems are today facing an ever more complex environment characterised by openness, variety, and change. In order to cope with this environmental complexity, organisations need effective instruments for managing their knowledge. Essential among these instruments are enterprise models, i.e. computational representations of the structure, processes, information, resources, and goals of organisations. When using enterprise modeling for analysing and designing business scenarios and networks, the reasoning should not start from business processes and activities but from notions at a higher level of abstraction. This can be done by focusing on the business motivation behind processes and expressing it in value models, i.e. models focusing on high level and business oriented objects like resources, actors, resource conversions, and resource exchanges. The declarative orientation of value models make them attractive for a number of different purposes, including profitability analysis, marketing analysis, process design, and service analysis. As value models can be used for many different purposes, there is a risk that they will become overloaded, complex, and difficult to understand. Therefore, when designing a value model, its purpose should be explicitly stated in order to focus the analysis. The goal of this article is to show how the purpose of a value model should influence its design. The approach builds on an analysis and classification of resources, resource conversions, and resource exchanges.

  • 56.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rights and Intentions in Value Modeling2010Inngår i: Intentional Perspectives on Information Systems Engineering / [ed] Selmin Nurcan, Camille Salinesi, Carine Souveyet, Jolita Ralyté, Springer , 2010, nr 1, s. 195-214Kapittel i bok, del av antologi (Annet vitenskapelig)
  • 57.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Eriksson, Owen
    Creating Worlds with Words: Ontology-guided Conceptual Modeling for Institutional Domains2017Inngår i: Conceptual Modeling Perspectives / [ed] Jordi Cabot, Cristina Gómez, Oscar Pastor, Maria Ribera Sancho, Ernest Teniente, Springer, 2017, s. 169-184Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    Conceptual modeling is often viewed as an activity of representing a preexisting world that should be faithfully mirrored in an information system. This view is adequate for modeling physical domains but needs to be revised and extended for social and institutional domains, as these are continuously produced and reproduced through communicative processes. Thereby, conceptual modeling moves beyond analysis and representation in order to cater also for design and creation. Following such a view on conceptual modeling, this paper proposes an ontology for modeling institutional domains. The ontology emphasizes the role of institutional entities in regulating and governing these domains through rules and rights that define allowed and required interactions. Furthermore, the ontology shows how these institutional entities are dependent on and grounded in material entities. Conceptual modelers can benefit from the ontology when modeling institutional domains, as it highlights fundamental notions and distinctions in these domains, e.g., the role of rights, the role of processes in creating institutional facts, and the difference between documents and institutional information. The ontology is illustrated using a case on public consultation management.

  • 58.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Eriksson, Owen
    Institution Aware Conceptual Modelling2017Inngår i: Proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017) / [ed] Cristina Cabanillas, Sergio España, Siamak Farshidi, CEUR-WS.org , 2017, s. 263-270Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Conceptual modelling for information systems design is to alarge extent about describing and prescribing the actions and interactions of agents in organizations. Thus, rules, regulations, organizational roles and other institutional aspects become key notions for conceptual modelling. While modellers may intuitively take these notions into account when creating conceptual models, it would be valuable also to take a more systematic and methodical approach to institutional aspects in the modelling activity. As a first step to such a method, this paper proposes a set of guidelines that support a modeller in identifying classes in a domain model starting from an analysis of the institutional aspects of the domain. The guidelines build on an institutional ontology that describes key notions of institutions, including actors, rules, rights, contracts, and processes.

  • 59.
    Johannesson, Paul
    et al.
    Royal Institute of Technology, KTH, Stockholm, Sweden.
    Henkel, Martin
    Royal Institute of Technology, KTH, Stockholm, Sweden.
    Value Based Service Innovation in Healtcare2009Inngår i: Healthcare IT Management, ISSN 1374-3201, Vol. 4, nr 3Artikkel i tidsskrift (Annet vitenskapelig)
  • 60.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li Lee, Mong
    Liddle, Stephen
    Opdahl, Andreas L.
    Pastor, Oscar
    Special issue on conceptual modeling – 34th International Conference on Conceptual Modeling (ER 2015)2017Inngår i: Data & Knowledge Engineering, ISSN 0169-023X, E-ISSN 1872-6933, Vol. 107, s. 1-2Artikkel i tidsskrift (Annet vitenskapelig)
    Abstract [en]

    We are happy to bring you this special issue of Data and Knowledge Engineering based on the 34th International Conference on Conceptual Modeling (ER 2015), which was held on 19–22 October 2015 in Stockholm, Sweden. Since 1979, when its first edition was held in Los Angeles, the ER conference has been the flagship conference series and the premier international meeting space for the Conceptual Modeling community. In 2015, the conference attracted 131 submissions from all parts of the world, 41 of which were accepted as long and short papers. The technical program also included four keynotes, nine workshops, five tutorials, a Ph.D. colloquium, a demo session, and a panel session. The conference covered a broad range of areas in conceptual modeling, from ontology-based modeling and data model semantics to conceptual modeling for big data and applications of modeling in health and social care.

  • 61.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li Lee, MongLiddle, Stephen W.Opdahl, Andreas L.Pastor López, Óscar
    Conceptual Modeling: Proceedings2015Konferanseproceedings (Fagfellevurdert)
    Abstract [en]

    This book constitutes the refereed proceedings of the 34th International Conference on Conceptual Modeling, ER 2015, held in Stockholm, Sweden, in October 2015. The 26 full and 19 short papers presented were carefully reviewed and selected from 131 submissions. The papers are organized in topical sections on business process and goal models, ontology-based models and ontology patterns, constraints, normalization, interoperability and integration, collaborative modeling, variability and uncertainty modeling, modeling and visualization of user generated content, schema discovery and evolution, process and text mining, domain-based modeling, data models and semantics, and applications of conceptual modeling.

  • 62.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Design Science Primer2012Bok (Annet vitenskapelig)
  • 63.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Design principles for process modelling in enterprise application integration2001Inngår i: Information Systems, ISSN 0306-4379, E-ISSN 1873-6076, Vol. 26, nr 3, s. 165-184Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    There is a growing need for Enterprise Application Integration (EAI) technologies, which align the applications of an organisation to its business processes. Such technologies require an adequate methodological support so that well structured and easily understandable models can be constructed. In this paper, such a methodological support is proposed by introducing principles for the design, validation and presentation of process models and associated data models. By applying these principles, we obtain different views of the models, and thereby facilitate the use of common models for different stakeholders, e.g. business managers, designers and operators.

  • 64.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Untangling the Web of Practices: Designing Information Systems in Context2017Inngår i: Systems, Signs & Actions, ISSN 1652-8719, E-ISSN 1652-8719, Vol. 10, nr 1, s. 1-33Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Practices are intertwined with each other, often in complex and unexpected ways. Therefore, the development of information systems artefacts does not only need to take into account the practices in which the artefacts are to be used, but also related practices. However, identifying and exploring these practices is a non-trivial task, which so far has not received much attention in the literature. Thus, the overall goal of the research presented in this paper is to provide a support for systematically addressing multiple, related practices in information systems design. The solution presented consists of a set of guidelines for context-aware analysis and design based on a classification of practice relationships, distinguishing between interconnected and resembling relationships. The former focus on exchanges of information as well as other resources, and they can be divided into management, asset, and input/output relationships. The latter consider practices that are similar to each other though they may reside in distinct areas or domains. The research presented is an example of design science, and the primary research methodology used is conceptual analysis. In order to preliminarily validate the result of the research, a demonstration has been carried out by applying the guidelines for analyzing an information system for schools.

  • 65.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik A
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    An introduction to design science2014Bok (Annet vitenskapelig)
    Abstract [en]

    This book is an introductory text on design science, intended to support both graduate students and researchers in structuring, undertaking and presenting design science work. It builds on established design science methods as well as recent work on presenting design science studies and ethical principles for design science, and also offers novel instruments for visualizing the results, both in the form of process diagrams and through a canvas format. While the book does not presume any prior knowledge of design science, it provides readers with a thorough understanding of the subject and enables them to delve into much deeper detail, thanks to extensive sections on further reading. Design science in information systems and technology aims to create novel artifacts in the form of models, methods, and systems that support people in developing, using and maintaining IT solutions. This work focuses on design science as applied to information systems and technology, but it also includes examples from, and perspectives of, other fields of human practice. Chapter 1 provides an overview of design science and outlines its ties with empirical research. Chapter 2 discusses the various types and forms of knowledge that can be used and produced by design science research, while Chapter 3 presents a brief overview of common empirical research strategies and methods. Chapter 4 introduces a methodological framework for supporting researchers in doing design science research as well as in presenting their results. This framework includes five core activities, which are described in detail in Chapters 5 to 9. Chapter 10 discusses how to communicate design science results, while Chapter 11 compares the proposed methodological framework with methods for systems development and shows how they can be combined. Chapter 12 discusses how design science relates to research paradigms, in particular to positivism and interpretivism. Lastly, Chapter 13 discusses ethical issues and principles for design science research.

  • 66.
    Johannesson, Paul
    et al.
    Royal Institute of Technology, KTH, Stockholm, Sweden.
    Perjons, Erik A.
    Royal Institute of Technology, KTH, Stockholm, Sweden.
    Value Modeling in Healthcare2009Inngår i: Healthcare IT management, ISSN 1374-3201, Vol. 4, nr 2Artikkel i tidsskrift (Annet vitenskapelig)
  • 67.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bider, Ilia
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    What are the siblings of design science research?2013Inngår i: Electronic Proceedings ADWI Workshop - 2013, 2013Konferansepaper (Fagfellevurdert)
    Abstract [en]

    There is no common agreement on how to characterize and positioning design science research. This makes it difficult for design science researchers to communicate the ideas of design science research to students, young researchers, and researchers outside the design science research community. In this paper, we present an approach for supporting the positioning of design science research in respect to key notions such as social science, research strategies, practice research, and action research. The approach is based on Wittgenstein’s notion of family resemblance, and the question addressed in the paper is: What are the siblings to design science research? Four sibling groups are presented, and the paper suggests how design science research can be compared and contrasted to its siblings within these groups.

  • 68.
    Johannesson, Paul
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Söderström, Eva
    Information systems engineering: from data analysis to process networks2008Collection/Antologi (Annet vitenskapelig)
    Abstract [en]

    This book presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.

  • 69.
    Juell-Skielse, Gustaf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hjalmarsson, Anders
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rudmark, Daniel
    Is the Public Motivated to Engage in Open Data Innovation?2014Inngår i: Electronic Government: 13th IFIP WG 8.5 International Conference, EGOV 2014. Proceedings / [ed] Marijn Janssen, Hans Jochen Scholl, Maria A. Wimmer, Frank Bannister, Springer Berlin/Heidelberg, 2014, s. 277-288Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Governments aim to increase democracy by engaging the public in using open data to develop mobile apps and citizen services. They make information avail-able (open data) and organize innovation contests to stimulate innovation with the goal to make new services available for the public to use. But will the pub-lic take on the challenge to both develop and provide services to each other? In this paper we use a case study from public transportation to investigate the mo-tivation for individuals and teams to participate in innovation contests. The re-sults show that the motivation for participating is primarily related to fun and enjoyment. We argue that in order to better meet the goals of open data innova-tion, governments need to follow through the full service innovation cycle and also care for making citizen coproduction in the execution and monitoring phases fun and enjoyable. Currently there is little chance for participants to make profit on a competitive market so governments need to provide other mechanisms to ensure service provisioning. For future research it is suggested to investigate how the later stages of open data innovation can be supported in order to meet the overall goals of open data innovation.

  • 70.
    Juell-Skielse, Gustaf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hjalmarsson, Anders
    Juell-skielse, Elea
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rudmark, Daniel
    Contests as innovation intermediaries in open data markets2014Inngår i: Information Polity, ISSN 1875-8754, Vol. 19, nr 3-4, s. 247-262Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Innovation contests are becoming popular instruments for stimulating development of digital services using open data. However, experience indicates that only a limited number of the results developed during these events become viable digital services attracting a significant user base. To further deepen our understanding of the role, design and function of innovation contests in open data markets, we conducted a survey of the websites of 33 digital innovation contests. The results of the survey show that organizers design digital innovation contests to function as intermediaries for open data innovation. By analyzing the activities performed by organizers we found several examples of how innovation contests support the participants in designing, implementing and providing services after the contests are concluded. We contribute with a key design element and attributes for the post-contest process of digital innovation contests, which adds to existing key design elements. For future research we suggest to further study open data markets and the intermediary role of digital innovation contests. Moreover we propose to develop guidelines and tools for organizers of digital innovation contests to design contests that better meet the needs of a particular open data market.

  • 71.
    Juell-Skielse, Gustaf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Juell-Skielse, Elea
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hjalmarsson, Anders
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rudmark, Daniel
    What happens next? – A survey of the afterlife of innovation contests2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Innovation contests are becoming popular instruments for stimulating development of digital services using open data. However, experience indicates that only a limited number of the results developed during these events become viable digital services attracting a significant user base. Hence, an unresolved question is how organizers choose to support the service development process after the contest is concluded. To further deepen our knowledge about the design of digital innovation contests and the support for the processes after the contests are concluded, we conducted a survey of the websites of 33 digital innovation contests. The results of the survey show that the majority of the contests provide a very low level of support or no support at all to the participants after the contests are concluded. Still, during our classification of support actions presented in the survey we also found several examples of how innovation contests choose to support the participants in designing, implementing and providing services after the contests are concluded. We contribute with a key design element and attributes for the post-contest process of digital innovation contests, which adds to existing design elements. Our conclusion is that very few innovation contests take the post-contest process into account. Yet there are examples where organizers of contests bear in mind their own important role in the following service innovation process and provide for example funding and development support to participants. For future research we propose to conduct a more thorough survey including interviews with organizers and participants.

  • 72.
    Nfuka Ngemera, Edephonce
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rusu, Lazar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mutagahywa, Beda
    The State of IT Governance in Organizations from the Public Sector in a Developing Country2009Inngår i: Proceeding HICSS '09. 42nd Hawaii International Conference, IEEE conference proceedings, 2009Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Today in many organizations in the public sector, the use of IT has become crucial in sustaining and extending the organizations' strategies and objectives. This pervasive use of technology has caused a critical dependency on IT that calls for specific focus on the IT Governance. This paper discusses the current state of IT Governance practices in five public sector organizations from a developing country, like is Tanzania. The results of this research approach are looking into the IT Governance mechanisms in place in terms of structures, processes and relational mechanisms. Moreover the paper includes a discussion on the problems and consequences inherent to inhibitors of effective IT Governance for a further improvement of the public service delivery in this environment.

  • 73.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Carpenhall, Fredrik
    Rusu, Lazar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Prioritizing business processes improvement initiatives: the seco tools case2014Inngår i: Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014. Proceedings / [ed] Matthias Jarke et al, Cham: Springer, 2014, s. 256-270Konferansepaper (Fagfellevurdert)
  • 74.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rusu, Lazar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Developing a method for prioritizing business process improvement initiatives2014Inngår i: Pacific Asia Conference on Information Systems, PACIS 2014: Proceedings, Association for Information Systems , 2014, s. 342-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    For continuous improvement and innovation in business processes, prioritizing processes is one of the top strategic decision-making tasks for chief information officers and business executives. However, most of the methods for prioritizing process improvement initiatives pay little attention to analysing the characteristics of processes. In addition, in the design process of these methods, the users (e.g. managers, process stakeholders) rarely participate. More importantly, how these methods can be adapted to managers’ decision-making process has not yet been fully explored. This paper addresses the need for a new method supporting managers’ decision making in prioritizing process improvement initiatives. We describe the design and evaluation of a prioritization and categorization method (PCM). The PCM consists of two models, the process assessment heat map (PAHM) and the process categorization map (CM), as well as five iterative activities. The evaluation results from Ericsson show that the PCM can produce a good-quality analysis of processes. It facilitates the decision-making process by eliciting the “collective intelligence” from key process stakeholders and managers. The findings also reveal the implications of improving the PCM to make it more configurable and dynamic. The paper contributes to business process management and proposes a novel method for prioritizing process improvement initiatives.

  • 75.
    Perjons, Erik
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bider, Ilia
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Artefact Centric Model for Digital Innovation2019Inngår i: 2019 IEEE 21st Conference on Business Informatics (CBI), IEEE, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Many artefacts of today are non-digital or only partly digital. Digital features can often be added to these artefacts to make them more digital. However, for designers, it can be challenging to figure out what digital features to add. In this paper, we outline an artefact centric approach that addresses the challenge called Artefact Centric Model for Digital Innovation (ACMDI). For the time being, ACMDI works only for information artefacts. In the paper, ACMDI is demonstrated on an example of an educational tool called Apprenticeship Simulation (AS). AS is a tool facilitating students acquiring modelling skills; AS was developed by digitalizing an ordinary text description of a business case.

  • 76.
    Perjons, Erik
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Value and Model Driven Method for Patient Oriented KPI Design in Health Care2011Inngår i: Biomedical Engineering Systems and Technologies: Third International Joint Conference, BIOSTEC 2010 / [ed] Fred, A., Filipe, J., Gamboa, H., Springer , 2011, s. 123-137Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In all societies, large resources are spent on health care. However, service quality is still unsatisfactory in large parts of the health care sector. One reason for this state of affairs is the complexity of health care organisations, which make them difficult to govern. Furthermore, due to the high degree of specialisation, health care organisations often need to cooperate, which adds to the complexity. One possible way to improve the cooperation and management of health care organisations is the use of performance management, which is a management approach aiming at optimising the performance of an organisation. The main instrument in performance management is the use of Key Performance Indicators (KPI), which measure how well an organisation fulfills its goals. Designing effective KPIs is a complex and time consuming task that requires substantial efforts. Therefore, there is a need for methods that support organisations in designing KPIs. This paper proposes a value and model driven method for identifying patient oriented KPIs.

  • 77. Rönnbäck, Lars
    et al.
    Regardt, Olle
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Wohed, Petia
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Anchor modeling: Agile information modeling in evolving data environments2010Inngår i: Data & Knowledge Engineering, ISSN 0169-023X, E-ISSN 1872-6933, Vol. 69, nr 12, s. 1229-1253Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Maintaining and evolving data warehouses is a complex, error prone, and time consuming activity. The main reason for this state of affairs is that the environment of a data warehouse is in constant change, while the warehouse itself needs to provide a stable and consistent interface to information spanning extended periods of time. In this article, we propose an agile information modeling technique, called Anchor Modeling, that offers non-destructive extensibility mechanisms, thereby enabling robust and flexible management of changes. A key benefit of Anchor Modeling is that changes in a data warehouse environment only require extensions, not modifications, to the data warehouse. Such changes, therefore, do not require immediate modifications of existing applications, since all previous versions of the database schema are available as subsets of the current schema. Anchor Modeling decouples the evolution and application of a database, which when building a data warehouse enables shrinking of the initial project scope. While data models were previously made to capture every facet of a domain in a single phase of development, in Anchor Modeling fragments can be iteratively modeled and applied. We provide a formal and technology independent definition of anchor models and show how anchor models can be realized as relational databases together with examples of schema evolution. We also investigate performance through a number of lab experiments, which indicate that under certain conditions anchor databases perform substantially better than databases constructed using traditional modeling techniques.

  • 78.
    Sadique, Kazi Masum
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Identity Management in Internet of Things: A Software-Defined Networking Approach2020Inngår i: Proceedings of the 2nd International Conference on Communication, Devices and Computing / [ed] Sumit Kundu, U. Shripathi Acharya, Chanchal Kr. De, Surajit Mukherjee, Springer, 2020, s. 495-504Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Internet of things (IoT) network needs to accommodate billions of connected smart objects (things). Connected IoT objects should be able to communicate with each other. Objects should be able to travel between different networks regardless of their locations, network providers, and manufacturers. To allow transparent movement of IoT objects, it is very important to have a trust relationship between these objects. To establish trusted relationship, unique identity is one of the key properties for any IoT object. It will not be possible for the devices to freely move within the networks if we do not have a common identity solution. The use of software-defined networking (SDN) approach in IoT is increasing these days, due to its flexibility and easy adaptability with any network. In this paper, we have presented an SDN-based identity management system which will possibly solve the unique identity problem and increase trust in heterogeneous IoT network.

  • 79.
    Sadique, Kazi Masum
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Towards Security on Internet of Things: Applications and Challenges in Technology2018Inngår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 141, s. 199-206Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The Internet of Things (IoT) paradigm refers to the network of physical objects or "things" embedded with electronics, software, sensors, and connectivity to enable objects to exchange data with servers, centralized systems, and/or other connected devices based on a variety of communication infrastructures. IoT data collected from different sensors, nodes and collectors are transferred to the cloud over the internet. IoT devices are used by consumers, healthcare, businesses as well as by the governments. It is being forecast that 31 billion IoT devices will be deployed all over the world by the year 2020. As the use of IoT devices is increasing every moment several IoT vulnerabilities are introduced. The results and analysis indicate that massive deployment of IoT with an integration of new technologies are introducing new security challenges in IoT paradigm. In this paper, IoT security challenges and open issues are discussed which provides a ground for future research.

  • 80.
    Sadique, Kazi Masum
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Trust in Internet of Things: An architecture for the future IoT network2019Inngår i: 2018 International Conference on Innovation in Engineering and Technology (ICIET), IEEE, 2019Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Current technology driven world is moving forward with massive implementation of smart objects. These smart objects or Internet of Things (IoT) nodes are involved in sensing of real time critical data from surroundings. Though these IoT nodes are involved in very specific task but their existence is very important for the complete system. Usually, in an IoT architecture, several heterogeneous nodes connect with a nearest gateway. The gateway itself connects with the world via Internet. IoT nodes need to flexible about connectivity as those may need to leave and join any gateway based on context (time, location etc.). To achieve flexibility, IoT components need a trust relationship between each other. In this paper, we have proposed a mechanism for integrating distributed trust management in IoT by using edge computing technology, considering the scalability and heterogeneous capability of IoT devices.

  • 81.
    Shahzad, Khurram
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH) / Stockholm University, Sweden.
    Elias, Mturi
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH) / Stockholm University, Sweden.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH) / Stockholm University, Sweden.
    Requirements for a business process model repository: A stakeholders’ perspective.2010Inngår i: Business Information Systems: Proceedings / [ed] Witold Abramowicz, Robert Tolksdorf, Berlin: Springer Berlin/Heidelberg, 2010, s. 158-170Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Reuse of business process models is the act of designing business processes by using existing process models. Reuse of business process models has been considered as a way to reduce the cost of modeling business processes from scratch. In order to support reuse a critical mass of process models is required which justifies the effort of maintaining a process model repository. However, recent studies show that complete repositories which can support reuse are not yet available. One of the reasons is that stakeholder requirements for process model repositories have not been sufficiently investigated. Therefore, the purpose of this work is to define requirements of a process model repository from stakeholders’ (researchers and practitioners) perspective. In this study, we start by eliciting preliminary requirements (defined as propositions) through an exploratory study followed by an empirical validation of the propositions. Based on the analysis of the results we define as a set of requirements for a process model repository.

  • 82.
    Shahzad, Khurram
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH), Stockholm University, Sweden.
    Elias, Mturi
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH), Stockholm University, Sweden.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology (KTH), Stockholm University, Sweden.
    Towards Cross Language Process Model Reuse: A Language Independent Representation of Process Models2009Inngår i: The Practice of Enterprise Modeling: Proceedings / [ed] Anne Persson, Janis Stirna, Berlin: Springer Berlin/Heidelberg, 2009, s. 176-190Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Process model reuse is becoming a key approach to addressing the challenges of modeling business processes from scratch. A repository is, therefore, essential to store and manage process models for future reuse. In this paper, we develop a logical data model that enables a Universal Process Repository to store process models in the form of process elements, independent of any process modelling language. In order to store process models in the process repository we propose an algorithm that automatically extracts data from the repository and converts them to process models on the fly. Finally, we use a case study to present data stored about a process model in the repository and to illustrate the development of process models from the data stored in the repository.

  • 83. Susha, Iryna
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Juell-Skielse, Gustaf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Open Data Research in the Nordic Region: Towards a Scandinavian Approach?2016Inngår i: Electronic Government: 15th IFIP WG 8.5 International Conference, EGOV 2016, Guimarães, Portugal, September 5-8, 2016, Proceedings / [ed] Hans Jochen Scholl, Olivier Glassey, Marijn Janssen, Bram Klievink, Ida Lindgren, Peter Parycek, Efthimios Tambouris, Maria A. Wimmer, Tomasz Janowski, Delfina Sá Soares, Springer, 2016, s. 61-73Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Since 2009 open data has been growing into a specialized research area, including in the Nordic countries. Historically Information Systems research from this region has managed to develop a distinct identity on the international research arena. Hence, the expectation is that also in the context of open data there exists room for unique contributions of Nordic researchers. However, no systematic overview exists yet of the open data research conducted in these countries or of the emerging research community. This paper, therefore, aims to fill this gap by conducting a comprehensive literature review. Our study focuses on the following aspects: (1) which perspectives and topics are exam- ined and (2) which empirical settings and methods are applied in Nordic open data research. Finding answers to these questions will enable us to propose a future research agenda and thereby stimulate debate in the Nordic open data research community.

  • 84. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Petri Net Specification of the REA Business Ontology2016Inngår i: Proceedings of the CAiSE'16 Forum at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) / [ed] Sergio España, Mirjana Ivanović, Miloš Savić, 2016, s. 49-56Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Current auditing procedures struggle with the incorporation of new data-driven techniques such as Process Mining. Although Process Mining has been applied experimentally on micro-level workflow processes, it is not so easy to apply on the level of the value cycle that is at the core of accounting databases. A more general problem is that the new smart approaches lack a well-developed accounting ontology. The REA business ontology does offer such an ontology but so far, its main focus has been on accounting database design. In this paper, a Petri Net specification of REA is proposed for ontology-based process analysis. This specification makes it possible to express more than the traditional static specification. The paper also describes how REA Petri Nets can be developed using Process Mining and how they can be applied in a Continuous Auditing framework.

  • 85. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    The Value of a Meta Perspective in Social Innovation2016Inngår i: STPIS 2016: Socio-Technical Perspective in IS Development: Proceedings of the 2nd International Workshop on Socio-Technical Perspective in IS Development co-located with 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) / [ed] Stewart Kowalski, Peter M. Bednar, Ilia Bider, 2016, s. 50-64Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Collective Awareness Platforms (CAP) have been promoted as an enabler of social innovation. A CAP supports the collection of data (quantitative and qualitative, and using all the technical possibilities that are rapidly becoming available, e.g. sensors), the integration of the data, and the presentation of results to the community in order to adapt their behavior or develop new behavior patterns. Typically, a CAP has many stakeholders. To support the development and maintenance of CAPs, we propose the notion of META-CAP, a platform that allows participants to reflect on the CAP from a value and collaboration perspective. The META-CAP architecture described in this paper is evaluated from the perspective of socio-technical design.

  • 86. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Value Encounter Modeling—Formalization and Application2018Inngår i: Service Science, ISSN 2164-3962, E-ISSN 2164-3970, Vol. 10, nr 2Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The concept of cocreation of value has been widely accepted in the management literature and service science. Value modeling approaches such as e3value focus on the exchange of value rather than cocreation. In this paper, a new value modeling approach is proposed that builds on e3value but highlights the notion of a “value encounter.” Value encounters are defined as interaction spaces where a group of actors meet and derive value by each one bringing in some of its own resources. The paper provides a formal value encounter ontology. It is shown that this ontology captures the concept of value cocreation and offers a useful instrument for open innovation projects. A case study is provided in which the approach has been applied in the development of a “green” hospital.

  • 87. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bukhsh, Faiza
    Conceptualizing Auditability2013Inngår i: Proceedings of the CAiSE'13 Forum / [ed] Rébecca Deneckère, Henderik A. Proper, 2013, s. 49-56Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Compliance has become a strategic concern for many companies and organizations. To prove actual compliance, the organization must disclose itself (be auditable). A plethora of advanced tools has been developed to support compliance management and auditing processes. However, not all organizations are the same. To apply these tools effectively and efficiently, the organization itself and the maturity of its management control should be considered as well. The goal of this exploratory paper is to define auditability on a general conceptual level. We introduce four levels of auditability, where each level adds to the self-knowledge and being-in-control of the organization.

  • 88. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Edirisuriya, Ananda
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Ilayperuma, Tharaka
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Value Object Analysis and the Transformation from Value Model to Process Model2007Inngår i: Enterprise Interoperability: New Challenges and Approaches / [ed] Doumeingts, Guy et al., 2007, s. 55-65Konferansepaper (Annet vitenskapelig)
  • 89. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Informationssystem.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Informationssystem.
    Edirisuriya, Ananda
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Informationssystem.
    Ilayperuma, Tharaka
    Strategic Analysis using Value Modelling - the C3-Value Approach2007Inngår i: Proceedings of the 40th Hawaii International Conference on System Sciences (HICSS-40), 2007Konferansepaper (Annet vitenskapelig)
  • 90. Weigand, Hans
    et al.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bergholtz, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Accounting for service value - An ontological approach2015Inngår i: 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS): Proceedings / [ed] Colette Roland, Dimosthenis Anagnostopoulos, Pericles Loucopoulos, Cesar Gonzalez-Perez, IEEE Computer Society, 2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With the growing importance of services in the modern enterprise there is a need for innovating traditional management accounting practices. In the Service Science literature, some work has been devoted to service accounting but mainly on a conceptual level. To address this research challenge, we have built an integrated service accounting framework on top of the business ontology REA. The e3value model is a useful tool to give an overall picture of a service network, which can be combined smoothly with the more detailed REA model. The result has been evaluated on the basis of the requirements and with an example from online gaming. As far as we know, it is the first worked out service accounting framework in Service Science and allows giving often-used concepts as value-in-use a precise definition.

  • 91.
    Winge, Monica
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Wangler, Benkt
    Managing the Process Conglomeration in Health and Social Care2013Inngår i: HEALTHINF 2013 - Proceedings of the International Conference on Health Informatics / [ed] Deborah Stacey, Jordi Solé-Casals, Ana L. N. Fred, Hugo Gamboa, SciTePress, 2013, s. 374-381Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The organisation and processes of today’s health and social care are becoming ever more complex as a consequence of societal trends, including an ageing population and an increased reliance on care at home. One aspect of the increased complexity is that a single patient may receive care from several separate care providers, which easily results in situations with potentially incoherent, uncoordinated and interfering care processes. In order to describe and analyse such situations, the paper introduces the notion of a process conglomeration. This is defined as a set of patient care processes that all influence the same patient, which are overlapping in time, and that all have the goal of improving or maintaining the health and social wellbeing of the patient. Problems and challenges of process conglomerations are investigated using coordination theory and speech act theory. In order to address the challenges, a number of information services are proposed.

  • 92.
    Winge, Monica
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Perjons, Erik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Wangler, Benkt
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    The coordination hub: Toward patient-centered and collaborative care processes2015Inngår i: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811, Vol. 21, nr 4, s. 284-305Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The organization and processes of today's health and social care are becoming ever more complex as a consequence of societal trends, including an aging population and an increased reliance on care at home. One aspect of the increased complexity is that a single patient may receive care from several care providers, which easily results in situations with potentially incoherent, uncoordinated, and interfering care processes. In order to describe and analyze such situations, the article introduces the notion of a process conglomeration. This is defined as a set of patient-care processes that all concern the same patient, that are overlapping in time, and that all are sharing the overall goal of improving or maintaining the health and social well-being of the patient. Problems and challenges of process conglomerations are investigated using coordination theory and models for continuous process improvement. In order to address the challenges, a solution is proposed in the form of a Coordination Hub, being an integrated software service that offers a number of information services for coordinating the activities of the processes in a process conglomeration.

  • 93.
    Wohed, Petia
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Andersson, Birger
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Open source workflow systems2010Inngår i: Modern business process automation: YAWL and its support environment / [ed] Arthur H. M. Hofstede, Wil M. P. Aalst, Michael Adams, Nick Russell., Berlin: Springer Berlin/Heidelberg, 2010, s. 401-434Kapittel i bok, del av antologi (Annet vitenskapelig)
  • 94.
    Zdravkovic, Jelena
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Henkel, Martin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Moving from Business to Technology using Service-based Processes2005Inngår i: IEEE Internet Computing, ISSN 1089-7801, E-ISSN 1941-0131, Vol. 9, nr 3, s. 73-81Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    In most organizations, business process realizations must be aligned with existing systems, which can impose specific requirements. Currently, however, there is no way to track the alignment between business processes and corresponding technical implementations. The authors' proposed framework offers a systematic way to classify and assess technical realizations of business processes.

  • 95.
    Zdravkovic, Jelena
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kirikova, MariteJohannesson, PaulStockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Advanced Information Systems Engineering: 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings2015Konferanseproceedings (Fagfellevurdert)
    Abstract [en]

    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.

  • 96.
    Zdravkovic, Jelena
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kirikova, Marite
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Preface to CAISE 20152016Inngår i: Information Systems, ISSN 0306-4379, E-ISSN 1873-6076, Vol. 62Artikkel i tidsskrift (Annet vitenskapelig)
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