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  • 2051.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kampars, Janis
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Using Open Data to Support Organizational Capabilities in Dynamic Business Contexts2018In: Advanced Information Systems Engineering Workshops: CAiSE 2018: Proceedings / [ed] Raimundas Matulevičius, Remco Dijkman, Springer, 2018, p. 28-39Conference paper (Refereed)
    Abstract [en]

    In essence, Open Data (OD) is the information available in a machine-readable format and without restrictions on the permissions for using or distributing it. Open Data may include textual artifacts, or non-textual, such as images, maps, scientific formulas, and other. The data can be publicized and maintained by different entities, both public and private. The data are often federated, meaning that various data sources are aggregated in data sets at a single “online” location. Despite its power to distribute free knowledge, OD initiatives face some important challenges related to its growth. In this paper, we consider one of them, namely, the business and technical concerns of OD clients that would make them able to utilize Open Data in their enterprise information systems and thus benefit in terms of improvements of their service and products in continuous and sustainable ways. Formally, we describe these concerns by means of high-level requirements and guidelines for development and run-time monitoring of IT-supported business capabilities, which should be able to consume Open Data, as well as able to adjust when the data updates based on a situational change. We illustrated our theoretical proposal by applying it on the service concerning regional roads maintenance in Latvia.

  • 2052.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kirikova, MariteJohannesson, PaulStockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Advanced Information Systems Engineering: 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings2015Conference proceedings (editor) (Refereed)
    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.

  • 2053.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kirikova, Marite
    Johannesson, Paul
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Preface to CAISE 20152016In: Information Systems, ISSN 0306-4379, E-ISSN 1873-6076, Vol. 62Article in journal (Other academic)
  • 2054.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Pastor, Oscar
    Loucopoulos, Peri
    Selected Topics on Advances in Capability-Oriented Information Systems Development: Editorial Introduction to Issue 10 of CSIMQ2017In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, no 10, p. 1-2Article in journal (Other academic)
    Abstract [en]

    Modern organizations need to be sustainable in the presence of dynamically changing business conditions, which require from Information Systems (IS) to address complex challenges for being able to support organizations acting in varying business conditions – changing customer demands, new legislations, new customers, and emerging alliances. From a technical perspective, the gap between business requirements and supporting IS is still present, mostly due to the fact that current IS development approaches operate with artifacts defined on a relatively low abstraction level. To go beyond the state of the art, IS development frameworks used by enterprises need to be structured for solving emerging problems, and enterprises need to have efficient methods for the use of these frameworks to deliver the right IS solutions just-in-time and just-enough. The notion of capability emerged in the beginning of the nineties in the context of competence-based management, military frameworks, and developing organization’s competitive advantage – linguistically, it means the ability or qualities necessary to do something.

  • 2055.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Pastor, Oscar
    Loucopoulos, Peri
    Selected Topics on Business Informatics: Editorial Introduction to Issue 13 of CSIMQ2017In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, no 13, p. 1-2Article in journal (Other academic)
    Abstract [en]

    Business Informatics is the scientific discipline targeting information processes and related phenomena in their socio-economical business context, including companies, organisations, administrations and society in general. As a field of study, it endeavours to take a systematic and analytic approach in adopting a multi-disciplinary orientation that draws theories and practices from the fields of management science, organisational science, computer science, systems engineering, information systems, information management, social science, and economics information science.

    The objective of this thematic issue is to bring attention to actual research on Business Informatics, as being publicized on the 19th IEEE Conference on Business Informatics (CBI 2017), July 24-27, 2017, in Thessaloniki, Greece. The conference created a productive forum for researchers and practitioners from the fields that contribute to the construction, use and maintenance of information systems and the organisational context in which they are embedded. This issue of CSIMQ comprises extended version of four CBI papers and one external article.

  • 2056.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Pastor, Oscar
    Loucopoulos, Pericles
    On the Capability Notion in Business Informatics: [Opening]2014In: [Proceedings of] The 1st International Workshop on Capability-oriented Business Informatics (CoBI 2014) / [ed] Jelena Zdravkovic, Peri Loucopoulos, Oscar Pastor, 2014, p. 1-2Conference paper (Other academic)
    Abstract [en]

    The business environments of today are changing rapidly, entailing complex anddynamic organizational constellations. Enterprises operating in these conditions needto have the capability to deliver their services in a variety of business contexts withsustainable quality and moreover to leverage them to competitive advantage. Latelythe notion of capability has gained a growing attention, due to a number of factors:the notion directs business investment focus, it can be used as a baseline for businessplanning, and it leads directly to service specification and design.

  • 2057.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rychkova, Irina
    A Capability-Oriented Approach to IT Governance: The Case of Public Service Organizations2017In: Advanced Information Systems Engineering Workshops: Proceedings / [ed] Andreas Metzger, Anne Persson, Springer, 2017, p. 39-49Conference paper (Refereed)
    Abstract [en]

    Getting more value from IT is becoming a critical objective for today’s organizations. IT Governance is an important strategic instrument that should ensure organizations to succeed with this objective and therefore it needs to be efficiently planned, structured and executed. To respond to increasing service demands while preserving or even increasing the value provided by services, public organizations require resources and abilities that lay outside their boundaries - such as co-production, open innovation, as well as engagement of citizens and partner organizations. To respond to these challenges, public organizations need to employ new governance solutions to their IT to overcome the shortcomings of hierarchical structures and traditional centralized decision-making. In this study, we discuss a capability-oriented governance approach, which aligns envisioned public values with actors, processes and resources and accordingly compound different IT Governance capabilities. We illustrate our proposal on the student mobility case in the Higher Education public service.

  • 2058.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rychkova, Irina
    Speckert, Thomas
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Requirements for IT Governance in Organizations Experiencing Decentralization2015In: Information Systems Engineering in Complex Environments: CAiSE Forum 2014, Thessaloniki, Greece, June 16-20, 2014, Selected Extended Papers / [ed] Selmin Nurkan, Elias Pimenidis, Springer, 2015, p. 269-285Conference paper (Refereed)
    Abstract [en]

    Decentralization of organizations and subsequent change of their management and operation styles requires changes in organization’s processes and heavily involves the IT. A case study in the Higher Education sector in Sweden has shown that Enterprise Architecture (EA) frameworks fit to primarily centralized organizational structures, and as such have shortcomings when used in decentralized organizations. Overcoming these deficiencies requires some new principles to be introduced and incorporated into the EA knowledge. In particular for IT governance, the case study showed that the peer-to-peer principles, such as peer production, can offer more suitable governance over current EA frameworks as they are able to better match the decentralized components of the university’s organizational structure.

  • 2059.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Grabis, Janis
    A Comparative Analysis of Using the Capability Notion for Congruent Business and Information Systems Engineering2017In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, no 10, p. 1-20Article in journal (Refereed)
    Abstract [en]

    The notion of capability has been gaining a growing attention in the business and information system (IS) engineering community due to a number of reasons: it facilitates focus on business investments, it can be used as a baseline for business planning, and it directly leads to service specification and design. It is not however widely known to what extent capability is considered in different modeling approaches, how it is defined, and what purpose it fulfills. This article analyzes how the notion of capability is included in the frameworks spanning from business-oriented such as Business Architecture and Business Value Modeling, to the alignment-oriented represented by Enterprise Architecture (EA), and Enterprise Modeling (EM). The results of the analysis have shown that capability has widespread presence in the frameworks and that its conceptual meaning is largely similar, while the intentions and the mechanisms of its use differ, which raises stimulating opportunities for new contributions and improvements in the field.

  • 2060.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Grabis, Janis
    Capability Consideration in Business and Enterprise Architecture Frameworks2018In: Capability Management in Digital Enterprises / [ed] Kurt Sandkuhl, Janis Stirna, Cham: Springer, 2018, no 1, p. 41-56Chapter in book (Refereed)
    Abstract [en]

    The notion of capability has gained growing attention over the last few years due to a number of factors, namely, it directs business investment focus, it can be used as a baseline for business planning, and it leads to service specification and design. It is however unexplored to what extent capability is considered in different modeling approaches, how it is defined, integrated with other concepts, and what purpose it fulfills. This chapter presents how the notion of capability is included in the current Business Architecture (BA) and Enterprise Architecture (EA) frameworks. It shows that capability has a considerable role in the frameworks and that they share a largely similar conceptual meaning of capability while the intentions and the mechanisms of its use differ, which raises stimulating opportunities for new contributions and improvements in the field.

  • 2061.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henkel, Martin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Grabis, Janis
    Modelling Business Capabilities and Context Dependent Delivery by Cloud Service2013In: Advanced Information Systems Engineering: Proceedings / [ed] Camille Salinesi, Moira C. Norrie, Óscar Pastor, Springer Berlin/Heidelberg, 2013, p. 369-383Conference paper (Refereed)
    Abstract [en]

    Contemporary business environments are changing rapidly, organizations are global, and cloud-based services have become a norm. Enterprises operating in these conditions need to have the capability to deliver their business in a variety of business contexts. Capability delivery thus has to be monitored and adjusted. Current Enterprise Modeling approaches do not address context-dependent capability design and do not explicitly support runtime adjustments. To address this challenge, a capability-driven approach is proposed to model business capabilities by using EM techniques, and to use model-based patterns to describe how software applications can adhere to changes in the execution context. A meta-model for capability design and delivery is presented with the consideration to delivering solutions as cloud services. The proposal is illustrated with an example case from an energy efficiency project. A supporting architecture for the capability development and the delivery in the cloud is also presented.

  • 2062.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kirikova, Marite
    Karagiannis, Dimitri
    Winter, Robert
    Advanced Enterprise Modeling: Editorial2015In: Business & Information Systems Engineering, ISSN 1867-0202, Vol. 57, no 1, p. 1-2Article in journal (Other academic)
  • 2063.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, JanisStockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.Kirikova, MariteKaragiannis, DimitrisWinter, Robert
    Advanced Enterprise Modeling2015Collection (editor) (Refereed)
  • 2064.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kirikova, Marite
    Karagiannis, Dimitris
    Winter, Robert
    BISE – Call for Papers Issue 1/20152013In: Business & Information Systems Engineering, ISSN 1867-0202, Vol. 5, no 5, p. 361-361Article in journal (Refereed)
  • 2065.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kuhr, Jan-Christian
    Koç, Hasan
    Requirements Engineering for Capability Driven Development2014In: The Practice of Enterprise Modeling: 7th IFIP WG 8.1 Working Conference, PoEM 2014, Manchester, UK, November 12-13, 2014: proceedings / [ed] Ulrich Frank, Berlin: Springer, 2014, Vol. 197, p. 193-207Conference paper (Refereed)
    Abstract [en]

    Lately, the notion of capability has emerged in IS engineering as an instrument to context dependent design and delivery of business services. Representing core business functionalities of an organization, capabilities, and capability driven IS development can be seen as both – a shift beyond and complement to the widely established service-oriented engineering paradigm where needs of customers form the leading modeling and design perspective. To ensure the needs of business stakeholders for variety of business contexts that an organization faces, and thus facilitate successful systems delivery, capability-driven development needs a well-defined method for requirements engineering, as well as its confirmation in practices. In this paper a process for specifying requirements capabilities and their designs is proposed. An application of the proposed approach to the area of Business Process Outsourcing (BPO) services. is carried out for the German company SIV.

  • 2066.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sandkuhl, Kurt
    Future of Capability Management2018In: Capability Management in Digital Enterprises, Cham: Springer, 2018, no 1, p. 385-396Chapter in book (Refereed)
    Abstract [en]

    Capability management has been the subject of a lot of research during the past years. Many of the results achieved have been presented in the previous chapters. Although the advancements have been substantial, a number of open issues and research questions remain. The chapter gives a summary on the ongoing research in the field and an outlook on future activities. More specifically, we discuss capability management for increasing cyber resilience, supporting digital transformation in organizations, managing big data, as well as carrying out continuous information system development.

  • 2067.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Svee, Eric-Oluf
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Giannoulis, Constantinos
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Capturing consumer preferences as requirements for software product lines2015In: Requirements Engineering, ISSN 0947-3602, E-ISSN 1432-010X, Vol. 20, no 1, p. 71-90Article in journal (Refereed)
    Abstract [en]

    Delivering great consumer experiences in competitive market conditions requires software vendors to move away from traditional modes of thinking to an outside- in perspective, one that shifts their business to becoming consumer-centric. Requirements engineers operating in these conditions thus need new means to both capture real preferences of consumers and then relate them to requirements for software customized in different ways to fit anyone. Additionally, because system development models require inputs that are more concrete than abstract, the indistinct values of consumers need to be classified and formalized. To address this challenge, this study aims to establish a conceptual link between preferences of consumers and system requirements, using software product line (SPL) as a means for systematically accommodating the variations within the preferences. The novelty of this study is a conceptual model of consumer preference, which integrates generic value frameworks from both psychology and marketing, and a method for its transformation to requirements for SPL using a goal-oriented RE framework as the mediator. The presented artifacts are grounded in an empirical study related to the development of a system for online education.

  • 2068.
    Zdravkovic, Jelena
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zikra, Iyad
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ilayperuma, Tharaka
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    An MDA Method for Service Modeling by Formalizing REA and Open-edi Business Frameworks with SBVR2011Conference paper (Refereed)
    Abstract [en]

    Business frameworks offer great opportunities of communication between people for working on the enterprise system engineering processes, as well as for eliciting services that the enterprise can offer in collaboration contexts. However, these kinds of frameworks, such as Resource-Event-Agent and Open-edi, recently unified in Open-edi Business Ontology (OeBTO), lack formal representations. This fact considerably limits their use in system development, particularly in model-driven development methods where the efficiency of transformations is of great importance. In this paper we suggest a formalization of OeBTO using OMG’s standard Semantics of Business Vocabulary and Business Rules (SBVR), as a method for creating a service-centric business model. This makes it possible to provide the necessary formal logic foundation to allow automatic processing of the business model and its transformation to a system-level service model. An example from the bank loan business sector is used to argument the application of the method.

  • 2069. Zdravković, Milan
    et al.
    Zdravković, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Aubry, Alexis
    Moalla, Néjib
    Guedria, Wided
    Sarraipa, João
    Domain framework for implementation of open IoT ecosystems2018In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 56, no 7, p. 2552-2569Article in journal (Refereed)
    Abstract [en]

    The current Internet-of-things (IoT) hype, pushed by the unprecedented rate of the technological enablers’ innovation, is threatening to leave behind some major, not so obvious, unresolved issues. IoT platforms will extend existing enterprise information systems (EIS) infrastructures to encompass cross-domain sensing and actuating capabilities, thus introducing additional complexity and major risks to the implementation. Furthermore, IoT platforms are typically driven by models of the trivial complexity; they support very simple data structures and almost no business logic implementation. Finally, IoT systems are today managed centrally, which often means less openness, less flexibility and greater change management costs. In this article, we provide the overview of the scientific disciplines which could contribute to the resolution of the IoT implementation problem, namely requirements engineering, change management/continuous improvement, model-based systems engineering, system architecture design, interoperability and policy and regulatory aspects. Then, we identify the challenges of these contributions in the context of IoT and finally make an attempt to identify research directions which could have a significant impact. The discussion of the challenges and opportunities is illustrated by the proposed domain framework for implementation of open IoT ecosystems.

  • 2070.
    Zetali, Karwan
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Nouri, Jalal
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Learners left to their own devices. The challenges of student scaffolding in outdoors mobile learning activities2017In: EDULEARN17: Conference Proceedings, The International Academy of Technology, Education and Development, 2017, p. 3796-3802Conference paper (Refereed)
  • 2071.
    Zeynep, Ahmet
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Holmquist, Lars Erik
    Sharing mobile services - Beyond the app store model2010In: MobileHCI 2010, ACM Press , 2010Conference paper (Other academic)
  • 2072.
    Zeynep, Ahmet
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Jonsson, Martin
    Holmquist, Lars Erik
    Sumon, Saiful Islam
    Supporting embodied exploration of physical concepts in mixed digital and physical interactive settings2011In: TEI 2011, ACM Press , 2011Conference paper (Other academic)
  • 2073.
    Zeynep, Ahmet
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cramer, Henriette
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Holmquist, Lars Erik
    SICS / Mobile Life, , .
    Rost, Mattias
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Gamification and location-sharing: Some emerging social conflicts2011In: CHI2011, Vancouver, Canada: ACM Press , 2011Conference paper (Other academic)
    Abstract [en]

    Location-sharing services such as foursquare are a prominent example of commercial apps that use gamification to increase user engagement. These gamification elements however have to coexist with a plethora of usage motivations. We here present selected observations on emerging conflicts between gamification elements and other usage motivations for location-sharing. We argue gamification needs to take into account the social context in which services operate and that conflicts within this context can both be detrimental and add to playfulness.

  • 2074.
    Zeynep, Ahmet
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Väänänen-Vainio Mattila, Kaisa
    Tampere University of Technology, , .
    Face to face makes a difference: Recommendation Practices of Users of Mobile Services2011In: UbiComp2011, Beijing, China: ACM Press , 2011Conference paper (Other academic)
    Abstract [en]

    The mobile app stores and markets provide companies, independent developers and researchers alike with possibilities to distribute innovative designs for mobile devices on a global scale. However, reaching a large numbers of users does not in itself ensure a large number of users adopting the mobile application or service. Large-scale adoption depends on additional factors such as novelty in service design, ease of use, enjoyable interaction, built-in mechanisms for further distribution of the mobile service as well as the practice of word-of-mouth recommendations. In this position paper we present the background and preliminary findings from a study aimed at investigating the motivations and practices by which users recommend mobile apps and services among their acquaintances. We discuss our perspective on distribution of mobile applications and services on a large scale and end this paper by suggesting questions for discussion and future research.

  • 2075.
    Zhang, Lechen
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Nouri, Jalal
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A systematic review of learning and teaching with tablets2018In: Proceedings of the 14th International Conference on Mobile Learning / [ed] Inmaculada Arnedillo Sánchez, Pedro Isaías, Luis Rodrigues, IADIS Press, 2018, p. 79-88Conference paper (Refereed)
    Abstract [en]

    Due to the increased popularity of tablets in schools, this systematic review examines the literature on tablet-mediated learning attempting to identify how tablets support the emergence of new teaching and learning practices as well as the transformation of existing ones in primary and secondary schools. 39 studies were selected using predefined selection criteria, most of which concern natural sciences, math and language. The result identified 10 themes of pedagogical teaching and learning practices that are supported by tablets in schools, namely: augmented and virtual learning, collaborative learning, communication, documentation, feedback and assessment, game-based learning, individualized learning, inquiry-based learning, mobile learning, and multimodal learning. The identified themes of practices support and interact with each other to serve learning and teaching purposes.

  • 2076. Zhang, Pengyi
    et al.
    Liu, Chang
    Hansen, Preben
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    I Need More Time!: The Influence of Native Language on Search Behavior and Experience2016In: Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum: CEUR Proceedings / [ed] Krisztian Balog, Linda Cappellato, Nicola Ferro, Craig Macdonald, 2016, p. 1166-1182Conference paper (Refereed)
  • 2077.
    Zhang, Yanqing
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Constructing Swedish Fashion Identity: Svenskt Mode (Swedish Fashion): 2000–2015, Sven-Harry’s Art Museum, Stockholm, May 23–August 31, 20142016In: Fashion theory, ISSN 1362-704X, E-ISSN 1751-7419, Vol. 20, no 4, p. 475-484Article, book review (Other academic)
    Abstract [en]

    This is an exhibition review article. It describes the goal, the curatorship, display and exhibited objects. The exhibition focuses on Swedish fashion design and treats fashion as something in relation to art. It analyzes the exhibition as part of institutionalization of Swedish fashion system. Understanding fashion as a system rather than material clothing is the key point here.

  • 2078.
    Zhang, Yanqing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Juhlin, Oskar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Fashion as System or Action Net in ‘Fashion in All Things’: a Case in Color Design of Mobile Phones2012In: Fashion: Exploring Critical Issues / [ed] Barbara Brownie, Laura Petican, Johannes Reponen, Oxford: Inter-Disciplinary Press, 2012, no 1, p. 263-270Chapter in book (Other academic)
    Abstract [en]

    Contemporary fashion has permeated into all things in life beyond clothes. Recently, fashion theories take on interests in organization and system. Kawamura proposes a fashion system through which clothing is transformed into the idea of fashion. Can this fashion system be used to analyze other things in fashion? We present a study using mobile phone, one of the most intimate gadgets to people, as a way to approach ‘fashion in all things’. We chose the color as a way to study the fashion aspect in mobile design. Through the empirical study, we find that the decision making of color in mobile industry is a collective process. It is greatly influenced by technology, materials, consumer lifestyle and trend. The trendy colors in mobile design are not defined by certain cultural or social institutions, but formulated by actions conducted by various actors in certain social context. Our study shows that fashion can embrace more than Kawamura’s system, e.g. the action net of color design in mobile technology. Although mobile design shares some similarities with clothing fashion, the concept of fashion-ology is very Parisian and deals with only clothing. It is not fully applicable to mobile industry. If we want to use a fashion system that can apply to fashion in all things, we should revisit the theory to reveal the general characteristics of the fashion world or build smaller theory for each category.

  • 2079.
    Zhang, Yanqing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Juhlin, Oskar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    The “life and death” of great Finnish fashion phone: A periodization of changing styles in Nokia phone design between 1992 and 20132016In: Mobile Media & Communication, ISSN 2050-1579, Vol. 4, no 3, p. 385-404Article in journal (Refereed)
    Abstract [en]

    Visual aesthetics is an essential part of our experience of mobile devices, but the ways in which it is accounted for in design have largely been overlooked. We investigate whether an aesthetization of mobile design is taking place and, if so, how it is being pursued through institutional practices in organizations. We conduct a visual analysis of all Nokia phone releases between 1992 and 2013 complemented by an interview series with key actors. The study reveals a continuous increase in aesthetic variation between 1998 and 2008, which is visible in the variation of colors, forms and materials. The period between 2003 and 2008, which we term the Grand period, marks the peak of aesthetization of Nokia’s devices. It exhibits great variation, and is visibly similar to aesthetics in the fashion industry. With the introduction of the slate form, we see a decrease in visual variation between 2009 and 2013. The interviews reveal how the visual design was driven by organizational strategies, such as customer segmentation in general, and an orientation toward the fashion industry, e.g. in the creation of a fashion segment. The study reveals how aesthetic variation is weaved into a complex innovation system with sometimes conflicting demands deriving from e.g. technology and user interaction.

  • 2080.
    Zhao, Jing
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Temporal weighting of clinical events in electronic health records for pharmacovigilance2015In: 2015 IEEE International Conference on Bioinformatics and Biomedicine: Proceedings / [ed] Jun (Luke) Huan et al., IEEE Computer Society, 2015, p. 375-381Conference paper (Refereed)
    Abstract [en]

    Electronic health records (EHRs) have recently been identified as a potentially valuable source for monitoring adverse drug events (ADEs). However, ADEs are heavily under- reported in EHRs. Using machine learning algorithms to automatically detect patients that should have had ADEs reported in their health records is an efficient and effective solution. One of the challenges to that end is how to take into account temporality when using clinical events, which are time stamped in EHRs, as features for machine learning algorithms to exploit. Previous research on this topic suggests that representing EHR data as a bag of temporally weighted clinical events is promising; however, how to assign weights in an optimal manner remains unexplored. In this study, nine different temporal weighting strategies are proposed and evaluated using data extracted from a Swedish EHR database, where the predictive performance of models constructed with the random forest learning algorithm is compared. Moreover, variable importance is analyzed to obtain a deeper understanding as to why a certain weighting strategy is favored over another, as well as which clinical events undergo the biggest changes in importance with the various weighting strategies. The results show that the choice of weighting strategy has a significant impact on the predictive performance for ADE detection, and that the best choice of weighting strategy depends on the target ADE and, specifically, on its dose-dependency.

  • 2081.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Learning temporal weights of clinical events using variable importance2016In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 16, no Suppl. 2, article id 71Article in journal (Refereed)
    Abstract [en]

    Background: Longitudinal data sources, such as electronic health records (EHRs), are very valuable for monitoring adverse drug events (ADEs). However, ADEs are heavily under-reported in EHRs. Using machine learning algorithms to automatically detect patients that should have had ADEs reported in their health records is an efficient and effective solution. One of the challenges to that end is how to take into account the temporality of clinical events, which are time stamped in EHRs, and providing these as features for machine learning algorithms to exploit. Previous research on this topic suggests that representing EHR data as a bag of temporally weighted clinical events is promising; however, the weights were in that case pre-assigned according to their time stamps, which is limited and potentially less accurate. This study therefore focuses on how to learn weights that effectively take into account the temporality and importance of clinical events for ADE detection. Methods: Variable importance obtained from the random forest learning algorithm is used for extracting temporal weights. Two strategies are proposed for applying the learned weights: weighted aggregation and weighted sampling. The first strategy aggregates the weighted clinical events from different time windows to form new features; the second strategy retains the original features but samples them by using their weights as probabilities when building each tree in the forest. The predictive performance of random forest models using the learned weights with the two strategies is compared to using pre-assigned weights. In addition, to assess the sensitivity of the weight-learning procedure, weights from different granularity levels are evaluated and compared. Results: In the weighted sampling strategy, using learned weights significantly improves the predictive performance, in comparison to using pre-assigned weights; however, there is no significant difference between them in the weighted aggregation strategy. Moreover, the granularity of the weight learning procedure has a significant impact on the former, but not on the latter. Conclusions: Learning temporal weights is significantly beneficial in terms of predictive performance with the weighted sampling strategy. Moreover, weighted aggregation generally diminishes the impact of temporal weighting of the clinical events, irrespective of whether the weights are pre-assigned or learned.

  • 2082.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Asker, Lars
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Detecting Adverse Drug Events with Multiple Representations of Clinical Measurements2014In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM): Proceedings, IEEE Computer Society, 2014, p. 536-543Conference paper (Refereed)
    Abstract [en]

    Adverse drug events (ADEs) are grossly under-reported in electronic health records (EHRs). This could be mitigated by methods that are able to detect ADEs in EHRs, thereby allowing for missing ADE-specific diagnosis codes to be identified and added. A crucial aspect of constructing such systems is to find proper representations of the data in order to allow the predictive modeling to be as accurate as possible. One category of EHR data that can be used as indicators of ADEs are clinical measurements. However, using clinical measurements as features is not unproblematic due to the high rate of missing values and they can be repeated a variable number of times in each patient health record. In this study, five basic representations of clinical measurements are proposed and evaluated to handle these two problems. An empirical investigation using random forest on 27 datasets from a real EHR database with different ADE targets is presented, demonstrating that the predictive performance, in terms of accuracy and area under ROC curve, is higher when representing clinical measurements crudely as whether they were taken or how many times they were taken by a patient. Furthermore, a sixth alternative, combining all five basic representations, significantly outperforms using any of the basic representation except for one. A subsequent analysis of variable importance is also conducted with this fused feature set, showing that when clinical measurements have a high missing rate, the number of times they were taken by one patient is ranked as more informative than looking at their actual values. The observation from random forest is also confirmed empirically using other commonly employed classifiers. This study demonstrates that the way in which clinical measurements from EHRs are presented has a high impact for ADE detection, and that using multiple representations outperforms using a basic representation.

  • 2083.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Asker, Lars
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Predictive modeling of structured electronic health records for adverse drug event detection2015In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 15, no SIArticle in journal (Refereed)
    Abstract [en]

    Background: The digitization of healthcare data, resulting from the increasingly widespread adoption of electronic health records, has greatly facilitated its analysis by computational methods and thereby enabled large-scale secondary use thereof. This can be exploited to support public health activities such as pharmacovigilance, wherein the safety of drugs is monitored to inform regulatory decisions about sustained use. To that end, electronic health records have emerged as a potentially valuable data source, providing access to longitudinal observations of patient treatment and drug use. A nascent line of research concerns predictive modeling of healthcare data for the automatic detection of adverse drug events, which presents its own set of challenges: it is not yet clear how to represent the heterogeneous data types in a manner conducive to learning high-performing machine learning models. Methods: Datasets from an electronic health record database are used for learning predictive models with the purpose of detecting adverse drug events. The use and representation of two data types, as well as their combination, are studied: clinical codes, describing prescribed drugs and assigned diagnoses, and measurements. Feature selection is conducted on the various types of data to reduce dimensionality and sparsity, while allowing for an in-depth feature analysis of the usefulness of each data type and representation. Results: Within each data type, combining multiple representations yields better predictive performance compared to using any single representation. The use of clinical codes for adverse drug event detection significantly outperforms the use of measurements; however, there is no significant difference over datasets between using only clinical codes and their combination with measurements. For certain adverse drug events, the combination does, however, outperform using only clinical codes. Feature selection leads to increased predictive performance for both data types, in isolation and combined. Conclusions: We have demonstrated how machine learning can be applied to electronic health records for the purpose of detecting adverse drug events and proposed solutions to some of the challenges this presents, including how to represent the various data types. Overall, clinical codes are more useful than measurements and, in specific cases, it is beneficial to combine the two.

  • 2084.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cascading Adverse Drug Event Detection in Electronic Health Records2015In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA): Proceedings, IEEE Computer Society, 2015Conference paper (Refereed)
    Abstract [en]

    The ability to detect adverse drug events (ADEs) in electronic health records (EHRs) is useful in many medical applications, such as alerting systems that indicate when an ADE-specific diagnosis code should be assigned. Automating the detection of ADEs can be attempted by applying machine learning to existing, labeled EHR data. How to do this in an effective manner is, however, an open question. The issues addressed in this study concern the granularity of the classification task: (1) If we wish to predict the occurrence of ADE, is it advantageous to conflate the various ADE class labels prior to learning, or should they be merged post prediction? (2) If we wish to predict a family of ADEs or even a specific ADE, can the predictive performance be enhanced by dividing the classification task into a cascading scheme: predicting first, on a coarse level, whether there is an ADE or not, and, in the former case, followed by a more specific prediction on which family the ADE belongs to, and then finally a prediction on the specific ADE within that particular family? In this study, we conduct a series of experiments using a real, clinical dataset comprising healthcare episodes that have been assigned one of eight ADE-related diagnosis codes and a set of randomly extracted episodes that have not been assigned any ADE code. It is shown that, when distinguishing between ADEs and non-ADEs, merging the various ADE labels prior to learning leads to significantly higher predictive performance in terms of accuracy and area under ROC curve. A cascade of random forests is moreover constructed to determine either the family of ADEs or the specific class label; here, the performance is indeed enhanced compared to directly employing a one-step prediction. This study concludes that, if predictive performance is of primary importance, the cascading scheme should be the recommended approach over employing a one-step prediction for detecting ADEs in EHRs.

  • 2085.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes2014In: 2014 IEEE International Conference on Healthcare Informatics: Proceedings, IEEE Computer Society, 2014, p. 285-293Conference paper (Refereed)
    Abstract [en]

    Electronic health records (EHRs) provide a potentially valuable source of information for pharmacovigilance. However, adverse drug events (ADEs), which can be encoded in EHRs with specific diagnosis codes, are heavily under-reported. To provide more accurate estimates for drug safety surveillance, machine learning systems that are able to detect ADEs could be used to identify and suggest missing ADE-specific diagnosis codes. A fundamental consideration when building such systems is how to represent the EHR data to allow for accurate predictive modeling. In this study, two types of clinical code are used to represent drugs and diagnoses: the Anatomical Therapeutic Chemical Classification System (ATC) and the International Statistical Classification of Diseases and Health Problems (ICD). More specifically, it is investigated whether their hierarchical structure can be exploited to improve predictive performance. The use of random forests with feature sets that include only the original, low-level, codes is compared to using random forests with feature sets that contain all levels in the hierarchies. An empirical investigation using thirty datasets with different ADE targets is presented, demonstrating that the predictive performance, in terms of accuracy and area under ROC curve, can be significantly improved by exploiting codes on all levels in the hierarchies, compared to using only the low-level encoding. A further analysis is presented in which two strategies are employed for adding features level-wise according to the concept hierarchies: top-down, starting with the highest abstraction levels, and bottom-up, starting with the most specific encoding. The main finding from this subsequent analysis is that predictive performance can be kept at a high level even without employing the more specific levels in the concept hierarchies.

  • 2086.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henriksson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kvist, Maria
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Karolinska Institute, Sweden.
    Asker, Lars
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Handling Temporality of Clinical Events for Drug Safety Surveillance2015In: AMIA Annual Symposium Proceedings, ISSN 1559-4076, Vol. 2015, p. 1371-1380Article in journal (Refereed)
    Abstract [en]

    Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective in screening health records and detecting ADEs. How best to exploit historical data, as encoded by clinical events in EHRs is, however, not very well understood. In this study, three strategies for handling temporality of clinical events are proposed and evaluated using an EHR database from Stockholm, Sweden. The random forest learning algorithm is applied to predict fourteen ADEs using clinical events collected from different lengths of patient history. The results show that, in general, including longer patient history leads to improved predictive performance, and that assigning weights to events according to time distance from the ADE yields the biggest improvement.

  • 2087.
    Zhao, Jing
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Papapetrou, Panagiotis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Asker, Lars
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Learning from heterogeneous temporal data from electronic health records2017In: Journal of Biomedical Informatics, ISSN 1532-0464, E-ISSN 1532-0480, Vol. 65, p. 105-119Article in journal (Refereed)
    Abstract [en]

    Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure of the data, which includes clinical events that are unevenly distributed over time, poses a challenge for standard learning algorithms. Some approaches to modeling temporal data rely on extracting single values from time series; however, this leads to the loss of potentially valuable sequential information. How to better account for the temporality of clinical data, hence, remains an important research question. In this study, novel representations of temporal data in electronic health records are explored. These representations retain the sequential information, and are directly compatible with standard machine learning algorithms. The explored methods are based on symbolic sequence representations of time series data, which are utilized in a number of different ways. An empirical investigation, using 19 datasets comprising clinical measurements observed over time from a real database of electronic health records, shows that using a distance measure to random subsequences leads to substantial improvements in predictive performance compared to using the original sequences or clustering the sequences. Evidence is moreover provided on the quality of the symbolic sequence representation by comparing it to sequences that are generated using domain knowledge by clinical experts. The proposed method creates representations that better account for the temporality of clinical events, which is often key to prediction tasks in the biomedical domain.

  • 2088. Zhu, Egui
    et al.
    Fors, Uno
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Smedberg, Åsa
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Understanding how to improve physicians’ paradigms for prescribing antibiotics by using a conceptual design framework: a qualitative study2018In: BMC Health Services Research, ISSN 1472-6963, E-ISSN 1472-6963, Vol. 18, article id 860Article in journal (Refereed)
    Abstract [en]

    Background: Antimicrobial resistance (AMR) is a growing public health threat. Primary care physicians are important inducers of the overuse of antimicrobials and inappropriate prescribing. Augmented reality (AR) might providea potential educational tool in health care. The aim of this study was to identify the need for education andexpectations for AR-based education in the context of improving the rational use of antibiotics by primarycare physicians in China.

    Methods: The study used a qualitative approach based on face-to-face interviews with eleven physicians from three community health service centers and stations in China. We used a hybrid thematic analysis approach to analyze the interview data. A conceptual design framework, mobile augmented reality education (MARE), guided the work.

    Results: The physicians’personal prescription paradigms included problems regarding the way they diagnosed and chose treatments and prescriptions. Although the physicians mentioned that they should not treat patients with antibiotics without proof of a bacterial infection, in practice, they often did not wait for necessary testresults before they prescribed antibiotics. It was also revealed that they often experienced difficulties when trying to convince patients to follow non-antibiotic treatments. Physicians’prescription of antibiotics was based on three different paths: if they thought there was a bacterial infection, if they thought preventing additional possible infections for the patient to be necessary; and if the patients requested antibiotics. The physicians expressed various learning needs for the rational use of antibiotics, and their expectations of an AR-based educational intervention included suggestions for contents, learning assets, learning environments and learning activities.

    Conclusions: The results showed that the physicians were not only unfamiliar with national guidelines on the use of antibiotics and local AMR patterns but also had personal paradigm issues related to the physicians’decision making. Moreover, the physicians provided meaningful insights into and expectations for possible AR-based education on AMR. In this article, we demonstrate how to apply the MARE framework to analyze the needs of educational interventions for rational use of antibiotics.

  • 2089.
    Zikra, Iyad
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Implementing the Unifying Meta-Model for Enterprise Modeling and Model-Driven Development: An Experience Report2012In: The Practice of Enterprise Modeling: 5th IFIP WG 8.1 Working Conference, PoEM 2012. Proceedings / [ed] Kurt Sandkuhl, Ulf Seigerroth, Janis Stirna, Springer, 2012, p. 172-187Conference paper (Refereed)
    Abstract [en]

    Model-Driven Development (MDD) is becoming increasingly popular as a choice for developing information systems. Tools that support the principles of MDD are also growing in number and variety of available functionality. MetaEdit+ is a meta-modeling tool used for developing Domain Specific Languages and is identified as an MDD tool. The Eclipse Modeling Framework (EMF) and Graphical Modeling Project (GMP) are two Eclipse projects that provide plug-ins to support the principles of MDD. In this paper, we report on our experience in using MetaEdit+ and the Eclipse plug-ins for developing a graphical editor for the unifying meta-model, which is an MDD approach that extends the traditional view of MDD to cover Enterprise Modeling. The two modeling environments are reviewed using functionality areas that are identified by the research community as necessary in MDD tools. This report will provide useful insights for researchers and practitioners alike concerning the use of MetaEdit+ and the Eclipse plug-ins as MDD tools.

  • 2090.
    Zikra, Iyad
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Model-based Requirements for Integrating Cloud Services2016In: 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, p. 65-72Conference paper (Refereed)
    Abstract [en]

    Cloud-based services provide an alternative to the in-house implementation of various types of functionality. Organizations rely on such services to minimize the need for long-term commitments and enhance scalability and ubiquitous access to the services. However, achieving complex tasks that require a combination of services is not well studied, despite the potential added value. This paper investigates the requirements encountered when integrating cloud-based services in the modern organization. The paper proposes a model-driven solution for capturing the requirements for integrating cloud-based services. The model is to be used within the larger context of the organizational design; modeling components used to describe requirements are related to other views of the organization. A prototype tool and an example business case are presented to illustrate how the requirements model can be elicited and designed. The models are capable of being transformed into an integration solution.

  • 2091.
    Zikra, Iyad
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    The Communicative Nature of Information Systems Integration as an Enabler for Business IT Alignment2017In: Business Information Systems Workshops: BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2017, p. 136-147Conference paper (Refereed)
    Abstract [en]

    Patterns of systems integration strive to accommodate the diversity of business ecosystems, including novel Web- and cloud-based services. In this paper, we apply the principles of the language/action paradigm (LAP) to develop a decentralized integration pattern that supports dynamic integration of services. A model is proposed for designing the interacting systems as active and independent entities that seek to communicate with each other. Two modes are enabled in the communication model: an indirect mode, where systems interact via business processes; and a direct mode, where systems directly interface with each other, following four categories. The communication perspective of the proposed integration pattern contributes to realizing the vision of a marketplace for cloud services. It supports a more flexible alternative to centralized integra-tion patterns. The communication model builds on the improved alignment be-tween system design models and the overall organizational design offered by the unifying meta-model for enterprise modeling.

  • 2092.
    Zikra, Iyad
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    España, Sergio
    Ruiz, Marcela
    Pastor, Oscar
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Aligning Communication Analysis with the Unifying Meta-Model for Enterprise Modeling2012Conference paper (Refereed)
    Abstract [en]

    Enterprise Modeling (EM) captures and represents organizational know-ledge in models that cover different views of the enterprise. The models can be leveraged in the development of information systems. Investigating how to use them as input to Model-Driven Development (MDD) is an open challenge. This paper explores how a holistic EM approach, represented by a unifying meta-model, can benefit from integrating with Communication Analysis, a communication-oriented business process modeling and requirements engineering method. As a first step towards an integrated EM-enabled MDD approach, the unifying meta-model and Communication Analysis meta-model are aligned. A set of guidelines for trans-forming models conforming to the unifying meta-model to Communication Analysis models are formulated. The approach is illustrated using of a lab demo.

  • 2093.
    Zikra, Iyad
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zdravkovic, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Quality-Driven Methodology for Information Systems Integration2017In: Complex Systems Informatics and Modeling Quarterly, E-ISSN 2255-9922, no 12, p. 39-65Article in journal (Refereed)
    Abstract [en]

    Information systems integration is an essential instrument for organizations to attain advantage in today’s growing and fast changing business and technology landscapes. Integration solutions generate added value by combining the functionality and services of heterogeneous and diverse systems. Existing integration environments tend to rely heavily on technical, platform-dependent skills. Consequently, the solutions that they enable are not optimally aligned with the envisioned business goals of the organization. Furthermore, the gap between the goals and the solutions complicates the task of evaluating the quality of integration solutions. To address these challenges, we propose a quality-driven, model-driven methodology for designing and developing integration solutions. The methodology spans organizational and systems design details, providing a holistic view of the integration solution and its underlying business goals. A multi-view meta-model provides the basis for the integration design. Quality factors that affect various aspects of the integration solution guide and inform the progress of the methodology. An example business case is presented to demonstrate the application of the methodology.

  • 2094.
    Zikra, Iyad
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zdravkovic, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Analyzing the Integration between Requirements and Models in Model Driven Development2011Conference paper (Refereed)
    Abstract [en]

    In Model Driven Development (MDD), models replace software code as the development artifact. At the same time, requirements represent the information that is elaborated in models. However, despite the tight relationship between models and requirements, only a few MDD approaches provide the necessary methodological guidelines and tool support to explicitly facilitate this relationship. In this paper, we analyze existing approaches for integrating requirements with models within MDD. Based on the analysis, we elicit a set of general properties that need to be fulfilled when considering the integration of requirements and models, and we assess the contribution of the considered approaches accordingly.

  • 2095.
    Zikra, Iyad
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zdravkovic, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Bringing Enterprise Modeling Closer to Model-Driven Development2011In: The Practice of Enterprise Modeling, Springer Berlin Heidelberg , 2011Conference paper (Refereed)
    Abstract [en]

    Enterprise Modeling (EM) provides the means for using models to represent organizational knowledge from different perspectives. When information systems (IS) are involved, Model-Driven Development (MDD) is an approach that focuses on the use of models as primary development artifacts. By observing that EM provides the context for high level requirements, which in turn are the input to MDD, we propose a meta-model that integrates enterprise models and requirements with design models in MDD. The meta-model defines six models that cover both organizational and IS development knowledge. Inter-model relationships ensure an integrated view of the enterprise and the supporting IS by allowing model components to be used across different models. The integrated meta-model is demonstrated through an example case study.

  • 2096.
    Zikra, Iyad
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zdravkovic, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Identifying Quality Factors of Information Systems Integration Design2017In: Perspectives in Business Informatics Research: 16th International Conference, BIR 2017, Copenhagen, Denmark, August 28–30, 2017, Proceedings / [ed] Björn Johansson, Charles Møller, Atanu Chaudhuri, Frantisek Sudzina, Springer, 2017, p. 45-60Conference paper (Refereed)
    Abstract [en]

    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.

  • 2097.
    Ziyarazavi, Merat
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Magnusson, Christer
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    From Theory to Practice - When and How to Implement Service Value Agreement2013In: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 6, p. 127-142Article in journal (Refereed)
    Abstract [en]

    Traditionally, a Service Level Agreement (SLA) is used as an appendix in IT Service Management agreements to set expectations and delineate the service delivery description as well as the terms and conditions of delivery. However, SLAs are unable to imply and guarantee the added values expected by the customer. Service Value Agreement (SVA) is a newly developed framework that identifies the deliverable added values along with metrics to measure the quality and quantity of achievements in terms of business added values. The objective of this study is to expand the concept of SVA for Application Management (AM) services and suggest guidelines for its implementation in real business cases. This goal is fulfilled through the case study approach and outsourcing industry contributions. Authors suggest discussing the concept of SVA from early stages of the sales lifecycle and implementing it gradually during the steady state phase. Combination of Service Value Mapping approach and Piloting method is suggested for SVA proposition as an option with successful practical history.

  • 2098. Ziyarazavi, Merat
    et al.
    Magnusson, Christer
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Tergesten, Torbjörn
    Qualifying and Quantifying IT Services Added Values in Outsourcing Assignments—Service Value Agreement2012In: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 5, no 4, p. 318-330Article in journal (Refereed)
    Abstract [en]

    Traditionally, a Service Level Agreement (SLA) including service level metrics is used as an appendix in IT Service Management agreements to define the terms and conditions of delivery and set expectations. However, SLA neither implies nor guarantees the added values that are expected by the customer. Besides, due to the nature of IT services, there always exists uncertainty about the agreed services due to which the perceived risk for both customer and provider is high. Moreover, the quality and quantity of delivered values are mostly hidden by hazy marketing slogans. In order to guarantee the values of an offered service, the deliverable added values should be characterized properly, quantified by means of measurable metrics, and agreed upon between the two parties. Such comprehensive material, including the deliverable added values along with their measurable metrics, is called Service Value Agreement (SVA). This research proposes a platform for IT service offerings based on added values by identifying, as well as quantifying, an organization’s objectives in purchasing Application Management (AM) services from a provider firm.

  • 2099.
    Zoric, Goranka
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Engström, Arvid
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Barkhuus, Louise
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hidalgo, Javier Ruiz
    Kochale, Axel
    Gesture Interaction with Rich TV Content in the Social Setting2014In: Proceedings of TVUX-2013: Workshop on Exploring and Enhancing the User Experience for TV at ACM CHI 2013, 27 April 2013, Paris, France, Association for Computing Machinery (ACM), 2014Conference paper (Other academic)
    Abstract [en]

    The appearance of new immersive TV content has increased the interactive possibilities presented to the viewers. Increased interactivity is seen as a valuable feature in viewing richer television content, but new functionalities are limited by what can be done naturally and intuitively using available devices like remote controls. Therefore, new interaction techniques, such as visual gestures control systems, have appeared aiming to enhance the viewers’ viewing experience. In this work we begin uncovering the potential and challenges of gesture interaction with ultra high definition video for people watching TV together. As a first step we have done a study with a group of people interacting with such content using a gesture-based system in the home environment.

  • 2100.
    Åhlfeldt, Rose-Mharie
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Information Security in Distributed Healthcare: Exploring the Needs for Achieving Patient Safety and Patient Privacy2008Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In healthcare, patient information is a critical factor. The right information at the right time is a necessity in order to provide the best possible care for a patient. Patient information must also be protected from unauthorized access in order to protect patient privacy. It is furthermore common for patients to visit more than one healthcare provider, which implies a need for cross border healthcare and continuity in the patient process.

    This thesis is focused on information security in healthcare when patient information has to be managed and communicated between various healthcare actors and organizations. The work takes a practical approach with a set of investigations from different perspectives and with different professionals involved. Problems and needs have been identified, and a set of guidelines and recommendations has been suggested and developed in order to improve patient safety as well as patient privacy.

    The results show that a comprehensive view of the entire area concerning patient information management between different healthcare actors is missing. Healthcare, as well as patient processes, have to be analyzed in order to gather knowledge needed for secure patient information management.

    Furthermore, the results clearly show that there are deficiencies both at the technical and the administrative level of security in all investigated healthcare organizations.

    The main contribution areas are: an increased understanding of information security by elaborating on the administrative part of information security, the identification of information security problems and needs in cross border healthcare, and a set of guidelines and recommendations in order to advance information security measures in healthcare.

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